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Search Results (1,076)

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18 pages, 25934 KiB  
Article
Determination of Strain and Stress Field in Screening Test for Concrete Fire Spalling—Passive Restraint Effect
by Katarzyna Mróz, Izabela Hager, Marcin Tekieli, Václav Kočí and João Castro-Gomes
Materials 2024, 17(24), 6210; https://doi.org/10.3390/ma17246210 - 19 Dec 2024
Viewed by 279
Abstract
The paper examines the impact of passive restraint on fire-induced spalling in concrete, utilizing a concrete mixture to minimize compositional variability. A variety of specimen geometries was prepared, including standard cubes and cylinders for the determination of mechanical properties and slabs of different [...] Read more.
The paper examines the impact of passive restraint on fire-induced spalling in concrete, utilizing a concrete mixture to minimize compositional variability. A variety of specimen geometries was prepared, including standard cubes and cylinders for the determination of mechanical properties and slabs of different dimensions for fire spalling tests conducted under controlled conditions. A top-opening Dragon furnace, which applies ISO 834-1 fire curves, was used to evaluate the influence of “cold rim” boundaries, where slab edges were insulated to create thermal restraint. The cold rims were categorized as 0 cm, 10 cm, and 20 cm, with each modification representing a different degree of thermal expansion restraint. Digital image correlation (DIC) was utilized to monitor the strain fields on the unheated slab surfaces. The findings demonstrated that increasing the cold rim width implies a rise in compressive stress and strain in the central zone, thereby precipitating a more pronounced spalling behaviour. The unrestrained slabs (cold rim 0 cm) exhibited minimal spalling, whereas the restrained slabs (cold rim 20 cm) demonstrated significant spalling depths and volumes. The study confirms that thermal dilation restraint intensifies the severity of spalling and provides a quantitative framework that links stress evolution, strain distribution, and spalling depth. The findings emphasize the necessity of managing thermal restraint to properly assess fire-induced concrete spalling in material screening tests. Full article
(This article belongs to the Section Construction and Building Materials)
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Figure 1

Figure 1
<p>Scheme of tested elements.</p>
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<p>(<b>a</b>) Complete experimental setup, (<b>b</b>) black dots pattern for reference set.</p>
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<p>The order of testing procedure with the use of DIC method.</p>
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<p>The stress–strain relationship and determination of the <span class="html-italic">σ</span>-<span class="html-italic">ε</span> formula.</p>
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<p>Cold rim 0 cm: maps of strains before the first event of spalling.</p>
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<p>Cold rim 0 cm: maps of maximum strains during spalling occurrence.</p>
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<p>Cold rim 0 cm: strain development at fire-unexposed surface by virtual extensometers: (<b>a</b>) Strains in the central part of the unheated surface (X and Y direction), (<b>b</b>) Strains in most external part in X direction.</p>
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<p>Cold rim 10 cm: maps of maximum strains during spalling events.</p>
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<p>Cold rim 20 cm: maps of maximum strains during spalling events.</p>
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<p>Cold rim 10 cm: strain development at fire-unexposed surface by virtual extensometers: (<b>a</b>) Strains in the central part of the unheated surface (X and Y direction), (<b>b</b>) Strains in most external part (cold rim) in X and Y direction; (<b>c</b>) Strains in most external part (cold rim) in X direction.</p>
Full article ">Figure 11
<p>Cold rim 20 cm: strain development at fire-unexposed surface by virtual extensometers: (<b>a</b>) Strains in the central part of the unheated surface (X and Y direction), (<b>b</b>) Strains in most external part (cold rim) in X and Y direction; (<b>c</b>) Strains in most external part (cold rim) in X and Y direction.</p>
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<p>Development of crack width in the cold rim of 10 cm during fire exposure tracked by virtual extensometers.</p>
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<p>Development of stress in slabs during fire exposure.</p>
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<p>Comparison of stress evolution among testing cases.</p>
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<p>Damage range caused by spalling in tested slabs.</p>
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<p>Comparison of measured max spalling depths and spalling volumes.</p>
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<p>DIC limitation. The water accumulation on the specimen’s surface disrupts the DIC measurements.</p>
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12 pages, 4932 KiB  
Article
Structure of Ni(II) Inclusion Complex in Solid/Solution States and the Enhancement of Catalytic Behavior in Electrochemical Hydrogen Production
by Tomohiko Hamaguchi, Yuudai Iseki, Ryuta Ishikawa, Akio Mishima and Satoshi Kawata
Molecules 2024, 29(24), 5858; https://doi.org/10.3390/molecules29245858 - 12 Dec 2024
Viewed by 436
Abstract
In this article, we investigate the encapsulation of K2[Ni(maleonitriledithiolate)2] (1) within a host molecule, β-cyclodextrin (β-CD), via single-crystal X-ray analysis. An inclusion complex, K2{[Ni(maleonitriledithiolate)2]@(β-CD)2} (2), was constructed from 1 [...] Read more.
In this article, we investigate the encapsulation of K2[Ni(maleonitriledithiolate)2] (1) within a host molecule, β-cyclodextrin (β-CD), via single-crystal X-ray analysis. An inclusion complex, K2{[Ni(maleonitriledithiolate)2]@(β-CD)2} (2), was constructed from 1 and two β-CDs. The anion guest Ni complex included a host cavity, constructed using two β-CDs, and the Ni atom of the anion was located between the two hydrophilic primary rims. Ultraviolet-visible absorption spectroscopy revealed that inclusion complex 2 exhibited a 2:1 (host:guest) stoichiometry in the solution, which is consistent with the result obtained from X-ray crystallography. The association of the host and guest occurred in two steps, and the association constants for the first and second steps were 1.1(7) × 104 and 1.8(5) × 104 mol−1 dm3, respectively. The catalytic behavior of 1 and 2 was investigated for electrochemical hydrogen production in the aqueous solution of an acetate buffer (pH = 4.72). During the catalytic reaction, inclusion complex 2 was observed to have a better catalytic reaction rate than 1. The study findings provide insights into the effects of the encapsulation of guest molecules within host structures. Full article
(This article belongs to the Section Inorganic Chemistry)
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Graphical abstract

Graphical abstract
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<p>Molecular structure of an anion of the free Ni complex <b>1</b>.</p>
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<p>Molecular structure of the anion of inclusion complex <b>2</b> using a CPK model ([Ni(mnt)<sub>2</sub>]<sup>2−</sup>) and capped sticks model (β-CD). Light green, Ni; yellow, S; gray, C; blue, N; red, O. Counter cations and water molecules are omitted for clarity. Selected bond distances and angles: Ni1–S1 = 2.176(3) A°, Ni1–S2 = 2.162(2) A°, S1–Ni1–S2 = 91.69(8)°, S1–Ni1–S1* = 88.25(16)°, S2–Ni1–S2* = 88.79(12)°, S1*–Ni1–S2 = 175.08(17)°. * indicates the equivalent atoms generated by the symmetry operator (−x + 1, y, −z).</p>
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<p>Molecular channels in the crystal of inclusion complex <b>2</b> along the c-axis (viewed from the b-axis).</p>
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<p>UV-Vis spectra of the various ratios of free Ni complex <b>1</b> vs. β-CD in water. [K<sub>2</sub>[Ni(mnt)<sub>2</sub>]] + [β-CD] = 1 × 10<sup>−3</sup> mol dm<sup>−3</sup>. The inset shows the Job’s plot at 278 nm. Thin arrows indicate spectral changes.</p>
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<p>UV-Vis spectra of free Ni complex <b>1</b> with various amounts of β-CD in a 1 mol dm<sup>−3</sup> Na<sub>2</sub>SO<sub>4</sub> aqueous solution. [K<sub>2</sub>[Ni(mnt)<sub>2</sub>]] = 1 × 10<sup>−3</sup> mol dm<sup>−3</sup>. Thin arrows indicate spectral changes. The inset shows the curve fitting of plot Δ<span class="html-italic">Abs.</span> vs. [β-CD] at five points.</p>
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<p>Cyclic voltammogram of the free Ni complex <b>1</b> (red) and inclusion complex <b>2</b> (blue) in 1 mol dm<sup>−3</sup> Na<sub>2</sub>SO<sub>4</sub>/acetate buffer aqueous solution ([complex] = 5 × 10<sup>−4</sup> mol dm<sup>−3</sup>; pH = 4.72). The arrow indicates the direction of the scan.</p>
Full article ">Figure 7
<p>Cyclic voltammogram of free Ni complex <b>1</b> (red) and inclusion complex <b>2</b> (blue) under the same conditions as those depicted in <a href="#molecules-29-05858-f006" class="html-fig">Figure 6</a>. The arrows indicate the direction of the scan.</p>
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20 pages, 14369 KiB  
Article
A Novel DV-Hop Localization Method Based on Hybrid Improved Weighted Hyperbolic Strategy and Proportional Integral Derivative Search Algorithm
by Dejing Zhang, Pengfei Li and Benyin Hou
Mathematics 2024, 12(24), 3908; https://doi.org/10.3390/math12243908 - 11 Dec 2024
Viewed by 413
Abstract
As a range-free localization algorithm, DV-Hop has gained widespread attention due to its advantages of simplicity and ease of implementation. However, this algorithm also has some defects, such as poor localization accuracy and vulnerability to network topology. This paper presents a comprehensive analysis [...] Read more.
As a range-free localization algorithm, DV-Hop has gained widespread attention due to its advantages of simplicity and ease of implementation. However, this algorithm also has some defects, such as poor localization accuracy and vulnerability to network topology. This paper presents a comprehensive analysis of the factors contributing to the inaccuracy of the DV-Hop algorithm. An improved proportional integral derivative (PID) search algorithm (PSA) DV-Hop hybrid localization algorithm based on weighted hyperbola (IPSA-DV-Hop) is proposed. Firstly, the first hop distance refinement is employed to rectify the received signal strength indicator (RSSI). In order to replace the original least squares solution, a weighted hyperbolic algorithm based on the degree of covariance is adopted. Secondly, the localization error is further reduced by employing the improved PSA. In addition, the selection process of the node set is optimized using progressive sample consensus (PROSAC) followed by a 3D hyperbolic algorithm based on coplanarity. This approach effectively reduces the computational error associated with the hopping distance of the beacon nodes in the 3D scenarios. Finally, the simulation experiments demonstrate that the proposed algorithm can markedly enhance the localization precision in both isotropic and anisotropic networks and reduce the localization error by a minimum of 30% in comparison to the classical DV-Hop. Additionally, it also exhibits stability under the influence of a radio irregular model (RIM). Full article
(This article belongs to the Section Network Science)
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Figure 1

Figure 1
<p>Radiation at different DOIs. (<b>a</b>) DOI = 0; (<b>b</b>) DOI = 0.05; (<b>c</b>) DOI = 0.1.</p>
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<p>Flowchart of the 2D algorithm.</p>
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<p>Flowchart of the 3D algorithm.</p>
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<p>Node distribution maps in 2D scenarios. (<b>a</b>) Rectangular area. (<b>b</b>) C-shaped area. (<b>c</b>) S-shaped area. (<b>d</b>) O-shaped area. (<b>e</b>) X-shaped area. (<b>f</b>) H-shaped area.</p>
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<p>Comparison of localization error under different beacon ratios in 2D scenarios. (<b>a</b>) Rectangular area. (<b>b</b>) C-shaped area. (<b>c</b>) S-shaped area. (<b>d</b>) O-shaped area. (<b>e</b>) X-shaped area. (<b>f</b>) H-shaped area.</p>
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<p>Comparison of localization error under different numbers of nodes in 2D scenarios. (<b>a</b>) Rectangular area. (<b>b</b>) C-shaped area. (<b>c</b>) S-shaped area. (<b>d</b>) O-shaped area. (<b>e</b>) X-shaped area. (<b>f</b>) H-shaped area.</p>
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<p>Comparison of localization error under different communication radii in 2D scenarios. (<b>a</b>) Rectangular area. (<b>b</b>) C-shaped area. (<b>c</b>) S-shaped area. (<b>d</b>) O-shaped area. (<b>e</b>) X-shaped area. (<b>f</b>) H-shaped area.</p>
Full article ">Figure 8
<p>Comparison of localization error under different DOIs in 2D scenarios. (<b>a</b>) Two-dimensional variable ratio of beacon. (<b>b</b>) Two-dimensional variable communication radius.</p>
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<p>Node distribution maps in 3D scenarios. (<b>a</b>) Cubic terrain. (<b>b</b>) Rugged terrain. (<b>c</b>) Hilly terrain. (<b>d</b>) Valley terrain.</p>
Full article ">Figure 9 Cont.
<p>Node distribution maps in 3D scenarios. (<b>a</b>) Cubic terrain. (<b>b</b>) Rugged terrain. (<b>c</b>) Hilly terrain. (<b>d</b>) Valley terrain.</p>
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<p>Comparison of localization errors under different beacon ratios in 3D scenarios. (<b>a</b>) Cubic terrain. (<b>b</b>) Rugged terrain. (<b>c</b>) Hilly terrain. (<b>d</b>) Valley terrain.</p>
Full article ">Figure 11
<p>Comparison of localization errors under different numbers of nodes in 3D scenarios. (<b>a</b>) Cubic terrain. (<b>b</b>) Rugged terrain. (<b>c</b>) Hilly terrain. (<b>d</b>) Valley terrain.</p>
Full article ">Figure 12
<p>Comparison of localization errors under different communication radii in 3D scenarios. (<b>a</b>) Cubic terrain. (<b>b</b>) Rugged terrain. (<b>c</b>) Hilly terrain. (<b>d</b>) Valley terrain.</p>
Full article ">Figure 13
<p>Comparison of localization errors under different communication radii in 3D scenarios. (<b>a</b>) Three-dimensional variable beacon ratio. (<b>b</b>) Three-dimensional variable communication radius.</p>
Full article ">
13 pages, 4039 KiB  
Article
Molecular Simulation of the Complexes Formed by Hydroxypropyl-β-Cyclodextrin and Rifampicin with Different Solvents
by Elena Alvira
Macromol 2024, 4(4), 843-855; https://doi.org/10.3390/macromol4040049 - 6 Dec 2024
Viewed by 423
Abstract
Hydroxypropyl-β-cyclodextrin (HPβCD) is a derivatized cyclodextrin in which several H atoms on the hydroxyls of the glucose rings are substituted by 2-hydroxypropyl groups. The cyclic structure of HPβCD creates a cavity capable of totally or partially enclosing different molecules (inclusion complexes), and this [...] Read more.
Hydroxypropyl-β-cyclodextrin (HPβCD) is a derivatized cyclodextrin in which several H atoms on the hydroxyls of the glucose rings are substituted by 2-hydroxypropyl groups. The cyclic structure of HPβCD creates a cavity capable of totally or partially enclosing different molecules (inclusion complexes), and this capacity makes it useful in the pharmaceutical industry. Rifampicin is an antibiotic commonly used to treat tuberculosis; however, some of its properties such as its low solubility and variable bioavailability need to be improved by encapsulating it in systems such as HPβCD. The inclusion complexes formed by twelve structures of HPβCD and rifampicin with various polar and non-polar solvents are studied using molecular simulation. Diverse solvents are simulated using the zwitterionic or neutral configuration of rifampicin, and different values of relative permittivity in the electrostatic contribution to the total energy. The latter constant has little effect on the formation of inclusion complexes, whereas the type of rifampicin essentially determines the energies and configurations of the complexes. The zwitterion is located near the primary rim of HPβCD and the neutral form of rifampicin is near the secondary one. In both cases, the piperazine tail is incorporated into higher-energy complexes inside the host. Full article
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Graphical abstract

Graphical abstract
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<p>The zwitterionic (Z) and neutral (N) form of rifampicin.</p>
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<p>The minimum host–guest interaction energy (E<sub>int</sub>) in each plane parallel to XY against the cavity axis (the penetration potential), for the interaction between 6-HPβCD and rifampicin N with ε = 80; 3-HPβCD and rifampicin Z with ε = 5; and 2-HPβCD and rifampicin N with ε = 5. Configurations <span class="html-italic">a</span> and <span class="html-italic">b</span> have 5 hydroxypropyl groups substituted in consecutive and alternative glucoses, respectively. Configurations <span class="html-italic">c</span> and <span class="html-italic">d</span> are the same as <span class="html-italic">a</span>, <span class="html-italic">b</span> with 4 hydroxypropyl groups.</p>
Full article ">Figure 3
<p>Inclusion complexes of absolute minimum energies of the penetration potential formed by HPβCD and rifampicin N with ε = 80. Configurations <span class="html-italic">a</span> and <span class="html-italic">b</span> have 5 hydroxypropyl groups substituted in consecutive and alternative glucoses, respectively. Configurations <span class="html-italic">c</span> and <span class="html-italic">d</span> are the same as <span class="html-italic">a</span> and <span class="html-italic">b</span> but with 4 hydroxypropyl groups. The structures of HPβCDs are represented off-colour to better observe the configuration of the guest inside the cavity.</p>
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<p>Inclusion complexes of secondary minimum energies formed by HPβCD and rifampicin N with ε = 80, except for the complex formed by the structure 3<span class="html-italic">b</span> (3-HPβCD with 5 HPs on alternative rings), whose energy is −61.61 kJ/mol. Configurations <span class="html-italic">a</span> and <span class="html-italic">b</span> have 5 hydroxypropyl groups substituted in consecutive and alternative glucoses, respectively. Configurations <span class="html-italic">c</span> and <span class="html-italic">d</span> are the same as <span class="html-italic">a</span> and <span class="html-italic">b</span> with 4 hydroxypropyl groups. The structures of HPβCDs are represented off-colour to highlight the configuration of the guest inside the cavity.</p>
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<p>The potential energy surfaces on the rims with E<sub>T1</sub> for the complexes shaped by each HPβCD, rifampicin N and ε = 80. The E<sub>T1</sub> energies are defined in <a href="#sec2-macromol-04-00049" class="html-sec">Section 2</a>. Configurations <span class="html-italic">a</span> and <span class="html-italic">b</span> have 5 hydroxypropyl groups substituted in consecutive and alternative glucoses, respectively. Configurations <span class="html-italic">c</span> and <span class="html-italic">d</span> are the same as <span class="html-italic">a</span> and <span class="html-italic">b</span> with 4 hydroxypropyl groups.</p>
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<p>The potential energy surfaces on the rims with E<sub>T1</sub> for 6<span class="html-italic">a</span> (6-HPβCD with five HPs on consecutive rings), 3<span class="html-italic">b</span> (3-HPβCD with five HPs on alternative rings) and 2<span class="html-italic">d</span> (2-HPβCD with four HPs on alternative rings); ε = 5 and 80; rifampicin Z and N. The E<sub>T1</sub> energies are defined in <a href="#sec2-macromol-04-00049" class="html-sec">Section 2</a>.</p>
Full article ">
11 pages, 3349 KiB  
Article
Photoproduction of Loop Currents in Coronene Isomers Without Any Applied Magnetic Field
by Jun Ohara and Shoji Yamamoto
Solids 2024, 5(4), 640-650; https://doi.org/10.3390/solids5040043 - 6 Dec 2024
Viewed by 339
Abstract
Applying an extended Peierls–Hubbard model to π electrons in a coronene isomer, we investigate their ground-state properties and photoinduced dynamics with particular interest in possible loop current states. Once we switch on a static magnetic field perpendicular to the coronene disk, diamagnetic (diatropic) [...] Read more.
Applying an extended Peierls–Hubbard model to π electrons in a coronene isomer, we investigate their ground-state properties and photoinduced dynamics with particular interest in possible loop current states. Once we switch on a static magnetic field perpendicular to the coronene disk, diamagnetic (diatropic) and paramagnetic (paratropic) loop currents appear on the rim circuit and inner hub, respectively. Besides this well-known homocentric two-loop current state, heterocentric multiloop current states can be stabilized by virtue of possible electron–lattice coupling. These multiloop current states generally have a larger diamagnetic moment than the conventional two-loop one, and hence it follows that coronene, or possibly polycyclic conjugated hydrocarbons in general, may become more aromatic than otherwise with their π electrons being coupled to phonons. When we photoirradiate a ground-state coronene isomer without applying a static magnetic field, loop currents are induced in keeping with the incident light polarization. Linearly and circularly polarized lights induce heterocentric two-loop and multiloop currents, respectively, without and together with two homocentric loop currents of the conventional type, respectively. The heterocentric two-loop currents occur in a mirror-symmetric manner, which reads as the emergence of a pair of antiparallel magnetic moments, whereas the heterocentric multiloop ones appear at random in both space and time, which reads as the emergence of disordered local magnetic moments. Full article
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Figure 1

Figure 1
<p>(<b>a</b>) A coronene isomer with physical parameters <span class="html-italic">t</span> (bare transfer integral), <math display="inline"><semantics> <mi>α</mi> </semantics></math> (electron–lattice coupling), <span class="html-italic">U</span> (on-site Coulomb repulsion), <span class="html-italic">V</span> (inter-site Coulomb repulsion), and <span class="html-italic">a</span> (distance between adjacent carbon atoms). Green, red, blue, and gray circles indicate the 1st-, 2nd-, 3rd-, and 4th-site carbons, respectively, in a Y-shaped unit. (<b>b</b>) The vector potential <math display="inline"><semantics> <mrow> <mi mathvariant="bold-italic">A</mi> <mo>≡</mo> <mo>(</mo> <mo>−</mo> <mi>y</mi> <mi>B</mi> <mo>/</mo> <mn>2</mn> <mo>,</mo> <mi>x</mi> <mi>B</mi> <mo>/</mo> <mn>2</mn> <mo>,</mo> <mn>0</mn> <mo>)</mo> </mrow> </semantics></math> induces a static magnetic field, <math display="inline"><semantics> <mrow> <mi mathvariant="bold-italic">B</mi> <mo>=</mo> <mo>(</mo> <mn>0</mn> <mo>,</mo> <mn>0</mn> <mo>,</mo> <mi>B</mi> <mo>)</mo> </mrow> </semantics></math>.</p>
Full article ">Figure 2
<p>Ground-state phase diagrams on a <span class="html-italic">U</span>-<math display="inline"><semantics> <mi>α</mi> </semantics></math> plane in the absence (<b>a</b>) and presence (<b>b</b>) of the static magnetic field, where <span class="html-italic">V</span> is set to <math display="inline"><semantics> <mrow> <mn>0.7</mn> <mi>U</mi> </mrow> </semantics></math>. Possible electronic states are also illustrated, where the size of circles denotes the amount of electron densities and the round arrows indicate loop currents. The symbols × point to <math display="inline"><semantics> <mrow> <mrow> <mo>(</mo> <mi>U</mi> <mo>/</mo> <mi>t</mi> <mo>,</mo> <mi>α</mi> <mo>/</mo> <msqrt> <mrow> <mi>K</mi> <mi>t</mi> </mrow> </msqrt> <mo>)</mo> </mrow> <mo>=</mo> <mrow> <mo>(</mo> <mn>1.0</mn> <mo>,</mo> <mn>0.64</mn> <mo>)</mo> </mrow> </mrow> </semantics></math> for BOW, <math display="inline"><semantics> <mrow> <mo>(</mo> <mn>1.5</mn> <mo>,</mo> <mn>0.90</mn> <mo>)</mo> </mrow> </semantics></math> for <span class="html-italic">x</span>-CP, <math display="inline"><semantics> <mrow> <mo>(</mo> <mn>2.0</mn> <mo>,</mo> <mn>0.90</mn> <mo>)</mo> </mrow> </semantics></math> for <span class="html-italic">y</span>-CP, <math display="inline"><semantics> <mrow> <mo>(</mo> <mn>1.0</mn> <mo>,</mo> <mn>0.64</mn> <mo>)</mo> </mrow> </semantics></math> for 2-LC, <math display="inline"><semantics> <mrow> <mo>(</mo> <mn>0.5</mn> <mo>,</mo> <mn>0.70</mn> <mo>)</mo> </mrow> </semantics></math> for 5-LC, and <math display="inline"><semantics> <mrow> <mo>(</mo> <mn>1.5</mn> <mo>,</mo> <mn>0.90</mn> <mo>)</mo> </mrow> </semantics></math> for 4-LC, which are the parameter points of the electronic states in the investigation of optical conductivities (<a href="#solids-05-00043-f003" class="html-fig">Figure 3</a>). In particular, the red cross indicates the initial BOW state in the investigation of photoinduced dynamics.</p>
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<p>Polarized optical conductivities in the absence [(<b>a</b>) BOW, (<b>b</b>) <span class="html-italic">x</span>-CP, and (<b>c</b>) <span class="html-italic">y</span>-CP] and presence [(<b>d</b>) 2-LC, (<b>e</b>) 5-LC, and (<b>f</b>) 4-LC] of the static magnetic field.</p>
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<p>The vector potentials <math display="inline"><semantics> <mrow> <mi mathvariant="bold-italic">A</mi> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </semantics></math> for linearly polarized light with <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (<b>a</b>) and <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>=</mo> <mi>π</mi> <mo>/</mo> <mn>6</mn> </mrow> </semantics></math> (<b>a′</b>) and circularly polarized light with <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>=</mo> <mi>π</mi> <mo>/</mo> <mn>4</mn> </mrow> </semantics></math> (<b>a″</b>). The time evolutions of the induced loop currents [(<b>b</b>), (<b>b′</b>), and (<b>b″</b>)] and electric polarizations [(<b>c</b>), (<b>c′</b>), and (<b>c″</b>)] are presented.</p>
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<p>Dynamic loop currents (<b>the upper panels</b>) and electric polarizations (<b>the lower panels</b>) in the range of <math display="inline"><semantics> <mrow> <mn>100</mn> <mo>≤</mo> <mi>τ</mi> <msub> <mi>ω</mi> <mi>Q</mi> </msub> <mo>≤</mo> <mn>120</mn> </mrow> </semantics></math>, which are induced by the photoirradiations with linearly polarized light with <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (<b>a</b>,<b>b</b>) and <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>=</mo> <mi>π</mi> <mo>/</mo> <mn>6</mn> </mrow> </semantics></math> (<b>a′</b>,<b>b′</b>) and circularly polarized light with <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>=</mo> <mi>π</mi> <mo>/</mo> <mn>4</mn> </mrow> </semantics></math> (<b>a″</b>,<b>b″</b>). We calculate optical conductivities at the times indicated by vertical dotted lines (see <a href="#solids-05-00043-f006" class="html-fig">Figure 6</a>).</p>
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<p>Instantaneous polarized optical conductivities for the BOW state photoirradiated with linearly polarized light with <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (<b>a</b>,<b>b</b>) and <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>=</mo> <mi>π</mi> <mo>/</mo> <mn>6</mn> </mrow> </semantics></math> (<b>a′</b>,<b>b′</b>) and circularly polarized light with <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>=</mo> <mi>π</mi> <mo>/</mo> <mn>4</mn> </mrow> </semantics></math> (<b>a″</b>,<b>b″</b>).</p>
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47 pages, 21655 KiB  
Article
Analysis of the Selected Design Changes in a Wheel Hub Motor Electromagnetic Circuit on Motor Operating Parameters While Car Driving
by Piotr Dukalski and Roman Krok
Energies 2024, 17(23), 6091; https://doi.org/10.3390/en17236091 - 3 Dec 2024
Viewed by 482
Abstract
The drive system of an electric car must meet road requirements related to overcoming obstacles and driving dynamics depending on the class and purpose of the vehicle. The driving dynamics of modern cars as well as size and weight limitations mean that wheel [...] Read more.
The drive system of an electric car must meet road requirements related to overcoming obstacles and driving dynamics depending on the class and purpose of the vehicle. The driving dynamics of modern cars as well as size and weight limitations mean that wheel hub motors operate with relatively high current density and high power supply frequency, which may generate significant power losses in the windings and permanent magnets and increase their operating temperature. Designers of this type of motor often face the need to minimize the motor’s weight, as it constitutes the unsprung mass of the vehicle. Another limitation for motor designers is the motor dimensions, which are limited by the dimensions of the rim, the arrangement of suspension elements and the braking system. The article presents two directions in the design of wheel hub motors. The first one involves minimizing the length of the stator magnetic core, which allows for shortening of the axial dimension and mass of the motor but involves increasing the thermal load and the need for deeper de-excitation. The second one involves increasing the number of pairs of magnetic poles, which reduces the mass, increases the internal diameter of the motor and shortens the construction of the fronts, but is associated with an increase in the motor operating frequency and increased power losses. Additionally, increasing the number of pairs of magnetic poles is often associated with reducing the number of slots per pole and the phase for technological reasons, which in turn leads to a greater share of spatial harmonics of the magnetomotive force in the air gap and may lead to the generation of higher power losses and higher operating temperatures of permanent magnets. The analysis is based on a simulation of the motor operation, modeled on the basis of laboratory tests of the prototype, while the car is driving in various driving cycles. Full article
(This article belongs to the Special Issue Energy, Electrical and Power Engineering: 3rd Edition)
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Figure 1
<p>Models: The cross-section of the disassembled three-dimensional (3D) model of the SMzs200S32 motor, manufactured by Łukasiewicz Research Network—Upper Silesian Institute of Technology (Gliwice, Poland), and dedicated for assembly in the wheel hub of a car: 1—rotor, 2—rotor’s magnetic core, 3—magnet, 4—stator’s magnetic core, 5—stator winding coil ends, 6—resin, 7—permanent anchoring shield, 8—supporting structure, 9—casing with coolant ducts, 10—radiator of winding end, at drive end, 11—radiator of winding end, at non-drive side, 12—brake drum, 13—bearing assembly, 14—entry for supply wires, 15—cooling system ports, 16—rotor assembly openings, 17—stator assembly openings.</p>
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<p>Electromagnetic circuit model of the motor in the ANSYS Motor CAD program. (<b>a</b>) model cross-section, (<b>b</b>) longitudinal section, (<b>c</b>) FEM mesh, (<b>d</b>) calculated distribution of induction from magnets.</p>
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<p>Laboratory determined no-load losses of the SMzs200S32 motor during generator operation and during motor operation and drive power supply with <span class="html-italic">U</span><sub>DC</sub> = 350 V.</p>
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<p>Determined power losses in the magnetic core of motor, based on the measured no-load characteristics and the characteristic calculated in the ANSYS Motor CAD program.</p>
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<p>Mechanical losses of the SMzs200S32, measured in the laboratory and calculated in the simulation model.</p>
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<p>Thermal model of the motor in ANSYS Motor CAD.</p>
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<p>Cross-section of the SMzs200S32 prototype motor. Location of PT-100 temperature sensors in motor: 1—winding in slot, ND side, 2—winding in slot, D side, 3—zero point of the winding, 4—ND-side windings, 5—D-side windings, 6—D-side windings, 7—ND-side windings, 8—winding end D-side radiator, 9—winding end ND-side radiator, 10—D-side radiator element, 11—ND-side radiator element, 12—coolant inlet, 13—water outlet, 14—permanent magnets. ND—non-drive; D—drive.</p>
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<p>Prototype of SMzs200S32 motor: (<b>a</b>) in laboratory, (<b>b</b>) with wheel rim.</p>
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<p>Arrangement of temperature sensors: (<b>a</b>) on the magnet, (<b>b</b>) in the slot (top of the slot), (<b>c</b>) temperature sensor terminals from the winding fronts, (<b>d</b>) temperature sensor terminals from the stator core (top of the tooth) and (<b>e</b>) stator core temperature sensor (bottom of the tooth/stator yoke).</p>
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<p>Calculated steady temperatures for the motor operating point: <span class="html-italic">T</span><sub>m</sub> = 400 N·m, <span class="html-italic">n</span> = 950 rpm. (<span class="html-italic">V</span> = 105 km/h), <span class="html-italic">T</span><sub>ot.</sub> = 18 °C, coolant = 15.3 °C, <span class="html-italic">q</span> = 10 L/min.</p>
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<p>Comparison of calculated winding temperatures in the slot with measured temperatures at the test stand. <span class="html-italic">T</span><sub>m</sub> = 400 N·m, <span class="html-italic">n</span> = 950 rpm. (<span class="html-italic">V</span> = 105 km/h), <span class="html-italic">T</span><sub>ambient</sub> = 18 °C, <span class="html-italic">T</span><sub>Coolant</sub> = 15.3 °C, <span class="html-italic">q</span> = 10 L/min.</p>
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<p>Comparison of calculated winding end temperatures in the slot with measured temperatures at the test stand. <span class="html-italic">T</span><sub>m</sub> = 400 N·m, <span class="html-italic">n</span> = 950 rpm. (<span class="html-italic">V</span> = 105 km/h), <span class="html-italic">T</span><sub>ambient</sub> = 18 °C, <span class="html-italic">T</span><sub>Coolant</sub> = 15.3 °C, <span class="html-italic">q</span> = 10 L/min.</p>
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<p>Comparison of calculated stator tooth temperatures in the slot with measured temperatures at the test stand. <span class="html-italic">T</span><sub>m</sub> = 400 N·m, <span class="html-italic">n</span> = 950 rpm. (<span class="html-italic">V</span> = 105 km/h), <span class="html-italic">T</span><sub>ambient</sub> = 18 °C, <span class="html-italic">T</span><sub>Coolant</sub> = 15.3 °C, <span class="html-italic">q</span> = 10 L/min.</p>
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<p>Comparison of calculated magnet temperatures in the slot with measured temperatures at the test stand. <span class="html-italic">T</span><sub>m</sub> = 400 N m, <span class="html-italic">n</span> = 950 rpm. (<span class="html-italic">V</span> = 105 km/h), <span class="html-italic">T</span><sub>ambient</sub> = 18 °C, <span class="html-italic">T</span><sub>Coolant</sub> = 15.3 °C, <span class="html-italic">q</span> = 10 L/min.</p>
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<p>Comparison of calculated winding end radiator temperatures in the slot with measured temperatures at the test stand. <span class="html-italic">T</span><sub>m</sub> = 400 N m, <span class="html-italic">n</span> = 950 rpm. (<span class="html-italic">V</span> = 105 km/h), <span class="html-italic">T</span><sub>ambient</sub> = 18 °C, <span class="html-italic">T</span><sub>Coolant</sub> = 15.3 °C, <span class="html-italic">q</span> = 10 L/min.</p>
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<p>Calculated course of the required motor torque in a Nissan Leaf vehicle with dual-wheel drive, running in the driving cycle: (<b>a</b>) Artemis Urban, (<b>b</b>) Artemis Motorway 150, (<b>c</b>) US06 (motor share factor in braking torque 0.25).</p>
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<p>Calculated characteristics of maximum motor torques for different magnetic core lengths with plotted maximum torques occurring for the considered Nissan Leaf car model for the Artemis Urban, Artemis Motorway 150 and US06 driving cycles.</p>
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<p>Calculated temperature profile of individual motor components (for three core lengths) in the considered Nissan Leaf car with dual-motor drive, running in the Artemis Urban driving cycle repeated 5 times (braking torque participation factor 0.25): (<b>a</b>) maximum winding temperature, (<b>b</b>) magnet temperature, (<b>c</b>) stator magnetic core temperature.</p>
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<p>Calculated course of motor power losses (for three core lengths) in the considered Nissan Leaf car with dual-motor in-wheel drive, moving in the Artemis Urban driving cycle: (<b>a</b>) in the winding, (<b>b</b>) in the magnets, (<b>c</b>) in the stator magnetic core.</p>
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<p>Calculated course of temperatures of individual motor components in the considered Nissan Leaf car with dual-motor drive in the Artemis Motorway 150 driving cycle repeated 5 times (motor participation factor in braking moment 0.25). Courses for three lengths of magnetic cores: (<b>a</b>) maximum winding temperature, (<b>b</b>) magnet temperature, (<b>c</b>) stator magnetic core temperature.</p>
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<p>Calculated course of motor power losses in the considered Nissan Leaf car with dual-motor drive in the Artemis Motorway 150 driving cycle: (<b>a</b>) in the winding, (<b>b</b>) in the magnets, (<b>c</b>) in the stator magnetic core.</p>
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<p>Calculated temperature course of individual motor components in the considered Nissan Leaf car with a drive with two motors in the wheels, moving in the US06 driving cycle repeated 5 times (motor participation coefficient at the moment of braking 0.25). Waveforms for three lengths of magnetic cores: (<b>a</b>) maximum winding temperature, (<b>b</b>) magnet temperature, (<b>c</b>) stator magnetic core temperature.</p>
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<p>The course of individual losses of the electromagnetic circuit of the motor in the considered Nissan Leaf car during a drive with two motors in the wheels, moving in the US06 driving cycle repeated 5 times (motor participation coefficient at the moment of braking 0.25). Waveforms for three lengths of magnetic cores: (<b>a</b>) in the winding, (<b>b</b>) in the magnets, (<b>c</b>) in the stator magnetic core.</p>
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<p>Calculated characteristics of maximum torque as a function of rotational speed of the modeled motor and the motor with an increased number of pole pairs (2<span class="html-italic">p</span> = 56 and <span class="html-italic">q</span> = 0.375).</p>
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<p>Distribution of magnetic induction from permanent magnets of the considered motor model: <span class="html-italic">Q</span> = 48, 2<span class="html-italic">p</span> = 32, <span class="html-italic">q</span> = 0.5.</p>
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<p>Distribution of magnetic induction from permanent magnets of the considered motor model <span class="html-italic">Q</span> = 63, 2<span class="html-italic">p</span> = 56, <span class="html-italic">q</span> = 0.375.</p>
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<p>Motor model cross-sections: (<b>a</b>) cross section of the model 2<span class="html-italic">p</span> = 32, <span class="html-italic">q</span> = 0.5; (<b>b</b>) cross section of the model 2<span class="html-italic">p</span> = 56, <span class="html-italic">q</span> = 0.375. (<b>c</b>) longitudinal section of the model 2<span class="html-italic">p</span> = 32, <span class="html-italic">q</span> = 0.5. (<b>d</b>) longitudinal section of the model 2<span class="html-italic">p</span> = 56, <span class="html-italic">q</span> = 0.375.</p>
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<p>Calculated temperature curves of individual motor components in the considered Nissan Leaf car with dual-motor drive, running in the Artemis Urban driving cycle repeated 5 times (braking torque participation factor 0.25): (<b>a</b>) maximum winding, (<b>b</b>) magnet, (<b>c</b>) stator magnetic core.</p>
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<p>Calculated motor power loss curves for a Nissan Leaf with dual-wheel drive, running in the Artemis Urban driving cycle: (<b>a</b>) winding, (<b>b</b>) magnet, (<b>c</b>) stator magnetic core.</p>
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<p>Calculated temperature curves of individual motor components in the considered Nissan Leaf car with dual-motor drive, running in the Artemis Motorway 150 driving cycle repeated 5 times (braking torque participation factor 0.25): (<b>a</b>) maximum winding, (<b>b</b>) magnet, (<b>c</b>) stator magnetic core.</p>
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<p>Calculated motor power loss curves for the considered Nissan Leaf vehicle with dual-motor in-wheel drive, operating in the Artemis Motorway 150 driving cycle: losses in (<b>a</b>) winding, (<b>b</b>) magnets, (<b>c</b>) stator magnetic core.</p>
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<p>Calculated temperature curves of individual motor components in the considered Nissan Leaf car with dual-motor drive, running in the US06 driving cycle repeated 5 times (braking torque participation factor 0.25): (<b>a</b>) maximum winding, (<b>b</b>) magnet, (<b>c</b>) stator magnetic core.</p>
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<p>Calculated power loss curves of the motor in the considered Nissan Leaf car with a dual-motor drive, moving in the US06 driving cycle repeated 5 times (motor participation factor in the braking moment 0.25): (<b>a</b>) in the winding, (<b>b</b>) in the magnets, (<b>c</b>) in the stator magnetic core.</p>
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27 pages, 8131 KiB  
Article
Formation Conditions of Unusual Extremely Reduced High-Temperature Mineral Assemblages in Rocks of Combustion Metamorphic Complexes
by Igor S. Peretyazhko and Elena A. Savina
Crystals 2024, 14(12), 1052; https://doi.org/10.3390/cryst14121052 - 3 Dec 2024
Viewed by 493
Abstract
New data, including Raman spectroscopy, characterize unusual mineral assemblages from rocks of the Naylga and Khamaryn–Khyral–Khiid combustion metamorphic complexes in Mongolia. Several samples of melilite–nepheline paralava and other thermally altered (metamorphosed) sedimentary rocks contain troilite (FeS), metallic iron Fe0, kamacite α-(Fe,Ni) [...] Read more.
New data, including Raman spectroscopy, characterize unusual mineral assemblages from rocks of the Naylga and Khamaryn–Khyral–Khiid combustion metamorphic complexes in Mongolia. Several samples of melilite–nepheline paralava and other thermally altered (metamorphosed) sedimentary rocks contain troilite (FeS), metallic iron Fe0, kamacite α-(Fe,Ni) or Ni-bearing Fe0, taenite γ-(Fe,Ni) or Ni-rich Fe0, barringerite or allabogdanite Fe2P, schreibersite Fe3P, steadite Fe4P = eutectic α-Fe + Fe3P, wüstite FeO, and cohenite Fe3C. The paralava matrix includes a fragment composed of magnesiowüstite–ferropericlase (FeO–MgO solid solution), as well as of spinel (Mg,Fe)Al2O4 and forsterite. The highest-temperature mineral assemblage belongs to a xenolithic remnant, possibly Fe-rich sinter, which is molten ash left after underground combustion of coal seams. The crystallization temperatures of the observed iron phases were estimated using phase diagrams for the respective systems: Fe–S for iron sulfides and Fe–P ± C for iron phosphides. Iron monosulfides (high-temperature pyrrhotite) with inclusions of Fe0 underwent solid-state conversion into troilite at 140 °C. Iron phosphides in inclusions from the early growth zone of anorthite–bytownite in melilite–nepheline paralava crystallized from <1370 to 1165 °C (Fe2P), 1165–1048 °C (Fe3P), and <1048 °C (Fe4P). Phase relations in zoned spherules consisting of troilite +Fe0 (or kamacite + taenite) +Fe3P ± (Fe3C, Fe4P) reveal the potential presence of a homogeneous Fe–S–P–C melt at T~1350 °C, which separated into two immiscible melts in the 1350–1250 °C range; namely, a dense Fe–P–C melt in the core and a less dense Fe–S melt in the rim. The melts evolved in accordance with cooling paths in the Fe–S and Fe–P–C phase diagrams. Cohenite and schreibersite in the spherules crystallized between 988 °C and 959 °C. The crystallization temperatures of minerals were used to reconstruct redox patterns with respect to the CCO, IW, IM, and MW buffer equilibria during melting of marly limestone and subsequent crystallization and cooling of melilite–nepheline paralava melts. The origin of the studied CM rocks was explained in a model implying thermal alteration of low-permeable overburden domains in reducing conditions during wild subsurface coal fires, while heating was transferred conductively from adjacent parts of ignited coal seams. The fluid (gas) regime in the zones of combustion was controlled by the CCO buffer at excess atomic carbon. Paralava melts exposed to high-temperature extremely reducing conditions contained droplets of immiscible Fe–S–P–C, Fe–S, Fe–P, and Fe–P–C melts, which then crystallized into reduced mineral assemblages. Full article
(This article belongs to the Collection Topic Collection: Mineralogical Crystallography)
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Figure 1
<p>Raman spectra of several minerals from CM rocks in Mongolia.</p>
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<p>(<b>a</b>) Raman spectra of iron monosulfide (pyrrhotite or troilite) and its oxidation products collected at a laser power of 1, 5, 7, and 17 mW, 150 accumulations to 1 s, groove density 1800 g/mm; (<b>b</b>) Raman spectrum of troilite acquired at 1 mW laser power, 5400 accumulations to 2 s (3 h), 1800 g/mm.</p>
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<p>Phase diagram of the Fe–S system, after Shishin et al. [<a href="#B31-crystals-14-01052" class="html-bibr">31</a>] with additions (see text).</p>
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<p>(<b>a</b>) Raman spectra of schreibersite Fe<sub>3</sub>P and (<b>b</b>) cohenite Fe<sub>3</sub>C. Operation conditions: (<b>a</b>) laser power 5 mW, 600 accumulations to 1 s, groove density 600 g/mm and (<b>b</b>) laser power 5 mW, 1000 accumulations to 1 s, groove density 600 g/mm.</p>
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<p>Fragments of a coarse troilite grain in sample MN-1287, with enlarged symplectitic zones. Scale bars: 10 µm in panels (<b>c</b>,<b>e</b>) and 100 µm in panels (<b>a</b>,<b>b</b>,<b>d</b>,<b>f</b>). Abbreviations are as follows: Tro = troilite, Mag = magnetite, Wüs = wüstite, Mrc = marcasite, Gth = goethite, Sd = siderite, Cal = calcite, Cpx = clinopyroxene, Pl = plagioclase, Kir = kirschsteinite.</p>
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<p>(<b>a</b>) Raman spectra of magnetite and wüstite from sample MN-1287 and (<b>b</b>) ferropericlase–magnesiowüstite from sample MN-1133. Operation conditions: (<b>a</b>) laser power 1–5 mW, 600 accumulations to 1 s, 1800 g/mm groove density and (<b>b</b>) laser power 5 mW, 1000 accumulations to 1 s, 600 g/mm groove density.</p>
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<p>(<b>a</b>–<b>d</b>) Fragments of a coarse troilite grain in sample MN-1133, with some enlarged zones and (<b>e</b>–<b>g</b>) mineral assemblages with magnesiowüstite–ferropericlase. Scale bars: 10 µm in panels (<b>e</b>,<b>f</b>) and 40 µm in panels (<b>a</b>–<b>d</b>,<b>g</b>) for BSE images. Abbreviations are as follows: Tro = troilite, Fe = metallic iron, Wüs–Per = magnesiowüstite–ferropericlase, Mfr = magnesioferrite, Mag = magnetite, Mrc = marcasite, Gth = goethite, Fo = forsterite, Ol = Mg-Fe olivine, Pl = plagioclase, Cpx = clinopyroxene, Mll = melilite, Spl = spinel, Sd = siderite, Cal = calcite.</p>
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<p>(<b>a</b>–<b>c</b>) Matrix fragments of sample MN-1417, with enlarged vitreous zones containing grains of detrital quartz, zircon, troilite spherules, and newly formed mullite; (<b>d</b>) vitreous zone with iron spherules, microlites and phases of mullite and Fe-mullite; (<b>e</b>) grain of ferropseudobrookite–pseudobrookite with rutile inclusions. Scale bars: 100 µm for (<b>b</b>,<b>c</b>), and 10 µm for (<b>d</b>,<b>e</b>) for BSE images. Abbreviations are as follows: Gl = glass, Mul = mullite, Fe = metallic iron, Qz = quartz, Pbrk = pseudobrookite, Fe-Pbrk = ferropseudobrookite, Rt = rutile.</p>
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<p>Globules and spherules in vitreous parts of sample MN-1417. (<b>a</b>–<b>c</b>) Thorilite globules with inclusions and (<b>d</b>–<b>i</b>) zoned spherules with troilitic rim. Scale bars: 10 µm for BSE images. Abbreviations are as follows: Gl = glass, Tro = troilite, Scb = schreibersite, Fe<sub>4</sub>P = steadite, Coh = cohenite, Fe = metallic iron, Kmc = kamacite, Tae = taenite, Gth = goethite.</p>
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<p>Zoned spherule in sample MN-1417 with schreibersite and cohenite. Scale bars: 10 µm in panel (<b>a</b>) and 1 µm in panels (<b>b</b>–<b>e</b>); (<b>c</b>–<b>e</b>) discrete color images for elements: carbon (<b>c</b>), phosphorus (<b>d</b>), iron (<b>e</b>); (<b>f</b>) EDS spectra for Fe<sub>3</sub>C, α-Fe, and Fe<sub>3</sub>P. Abbreviations are as follows: Gl = glass, Tro = troilite, Scb = schreibersite, Coh = cohenite, Fe = metallic iron.</p>
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<p>Compositional variations of kamacite and taenite in zoned spherules (MN-1417 and MN-1412 samples).</p>
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<p>Matrix fragments of melilite–nepheline paralava, sample MN-1420. Scale bars: 10 µm in panels (<b>a</b>–<b>c</b>,<b>e</b>,<b>f</b>) and 1 µm in panel (<b>d</b>) for BSE images. Abbreviations are as follows: Nph = Na-Ca nepheline (davidsmithite), Mll = melilite, Pl = plagioclase, Pyh = pyrrhotite, Tro = troilite, Fe = metallic iron, Gl = glass, Spl = spinel, Prv = perovskite, Cal = calcite, Nng = ninengerite (Mg,Fe)S.</p>
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<p>Matrix fragments of melilite-nepheline paralava, sample MN-1412. Scale bars: 50 µm for all BSE images, 5 µm for insets in panels (<b>e</b>,<b>f</b>,<b>h</b>), and 1 µm for insets in panel (<b>g</b>). (<b>a</b>–<b>d</b>) Spherules of Fe<sup>0</sup>, intergrown Fe<sup>0</sup> and troilite, Fe<sup>0</sup> inclusions in troilite and (<b>i</b>) troilite encloses of cubanite veinlets. Abbreviations are as follows: Nph = Na-Ca nepheline (davidsmithite), Mll = melilite, Pl = plagioclase, Cpx = clinopyroxene, Kur = kuratite, Spl = spinel, Tro = troilite, Fe = metallic Fe, Gth = goethite, Scb = schreibersite, Fe<sub>2</sub>P = barringerite or allabogdanite, Fe<sub>4</sub>P = steadite, Cbn = cubanite CuFe<sub>2</sub>S<sub>3</sub>, Cal = calcite.</p>
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<p>Matrix fragments of plagioclase–orthopyroxene paralava, sample MN-1406. Scale bars: 10 µm in panels (<b>a</b>,<b>b</b>) and 1 µm in panels (<b>c</b>–<b>f</b>) for BSE images. Abbreviations are as follows: Gl = glass, Opx = orthopyroxene, Pl = plagioclase, Crd-Sec = cordierite–sekaninaite, Tro = troilite, Fe = metallic iron, Scb = schreibersite, Std = steadite, Bn = bornite (?), Ccp = chalcopyrite, Cu-Fe-S = non-identified Cu-Fe sulfides.</p>
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<p>FeO–MgO and FeO–MgO–Al<sub>2</sub>O<sub>3</sub> phase diagrams according to thermodynamic modeling by Samoilova and Markovets [<a href="#B38-crystals-14-01052" class="html-bibr">38</a>]. Lines with arrows are crystallization paths of Mg–Fe and Mg–Fe–Al melts, which produced (<b>a</b>) magnesiowüstite–ferropericlase with Mg# 0.6–0.3 in the 1800–1600 °C temperature range and (<b>b</b>) a solid solution of spinel cotectic assemblage (Fe,Mg)Al<sub>2</sub>O<sub>4</sub> + MgO–FeO.</p>
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<p>Simplified Fe–P phase diagram at 1 bar, after Miettinen and Vassilev [<a href="#B44-crystals-14-01052" class="html-bibr">44</a>]. with additions (see text). Arrows are three crystallization paths of an Fe–P melt with different P contents. Path I: 1370 °C to 1165 °C, formation of Fe<sub>2</sub>P and then Fe<sub>2</sub>P + Fe<sub>3</sub>P; Path II: 1165 °C to 1048 °C, formation of Fe<sub>3</sub>P and then α-Fe + Fe<sub>3</sub>P; Path III: 1530 °C to 1048 °C, formation of α-Fe and then α-Fe + Fe<sub>3</sub>P.</p>
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<p>(<b>a</b>): Fe-rich corner of the Fe–S–P diagram, after Jones and Drake [<a href="#B45-crystals-14-01052" class="html-bibr">45</a>]. The solid line shows the location of the two-liquids solvus. M<sub>1</sub> and M<sub>1</sub><sup>1</sup> are invariant points (shown connected by dashed lines) where the next condensed phases stably coexist: M<sub>1</sub> and M<sub>1</sub><sup>1</sup> (Fe, Fe<sub>3</sub>P, two liquids) at ~1000 °C; E<sub>1</sub> (Fe, Fe<sub>3</sub>P, FeS) at 970 °C; M<sub>2</sub> and M<sub>2</sub><sup>1</sup> (Fe<sub>3</sub>P, Fe<sub>2</sub>P, two liquids) at 1150 °C; U<sub>2</sub> (Fe<sub>3</sub>P, Fe<sub>2</sub>P, FeS); (<b>b</b>): Fe–S–P phase diagram in the P–S section. The solid line is a boundary between the miscibility domains of liquids, and the dashed line limits the field of a homogeneous Fe–P–S melt at 1350 °C (IW buffer) and the field of two (phosphide and sulfide) liquids at 1250 °C (IW and QFI buffers), after Chabot and Drake [<a href="#B47-crystals-14-01052" class="html-bibr">47</a>].</p>
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<p>(<b>a</b>) Liquidus surface projection in the Fe-rich part of the ternary Fe–P–C system (1, 2, and 3 and lines with arrows show three evolution paths of the melt) and (<b>b</b>) vertical section in the ternary Fe–P–C system at 2.4 wt% C, after thermodynamic assessment by Bernhard et al. [<a href="#B50-crystals-14-01052" class="html-bibr">50</a>].</p>
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<p>Redox evolution (heavy arrow) during crystallization of magnesiowüstite–ferropericlase, iron phosphides (Fe<sub>2</sub>P, Fe<sub>3</sub>P), metallic iron, cohenite, wüstite, and magnetite (see text for explanation). Colored fields refer to hypothetical crystallization conditions of reducing mineral assemblages, in <span class="html-italic">T</span>–Lg<span class="html-italic">P</span><sub>O2</sub> coordinates: grey for melilite-nepheline paralavas and blue for mineral assemblage containing magnesiowüstite–ferropericlase (<a href="#crystals-14-01052-f006" class="html-fig">Figure 6</a>b and <a href="#crystals-14-01052-f007" class="html-fig">Figure 7</a>e–g). CCO, IW, IM, WM, FMQ, and MH are buffers. Buffers equilibria intersections are at 720 °C for CCO and IW and at 550 °C for IW and WM.</p>
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18 pages, 5262 KiB  
Article
Key Factors Driving Competitiveness Between Bulk Cargo Ports: A Case Study in the Bohai Rim Port Cluster
by Fengchi Ye, Yaqi Xiao and Chunzhu Wei
Urban Sci. 2024, 8(4), 237; https://doi.org/10.3390/urbansci8040237 - 2 Dec 2024
Viewed by 586
Abstract
This study examines the role of bulk cargo ports in improving supply chain efficiency within the Bohai Rim port cluster in China, addressing a gap in the research that has primarily focused on container ports. By analyzing 13 ports in the cluster through [...] Read more.
This study examines the role of bulk cargo ports in improving supply chain efficiency within the Bohai Rim port cluster in China, addressing a gap in the research that has primarily focused on container ports. By analyzing 13 ports in the cluster through the shiftrate model and network analysis, this research aims to understand their adaptation to changing trade patterns and economic conditions. The Bohai Rim is a key hub for four major bulk cargo types—grain, coal, oil, and ore—each with distinct growth rates and trade networks. This research classifies the ports into four tiers based on their operational capabilities and market influence. Key findings reveal that the cargo transport network has shifted from a tri-power structure (Dalian, Tianjin–Tangshan, Qingdao–Rizhao port groups) to a dual-core pattern, now led by Tangshan and Qingdao Ports. Qingdao Port, with its advanced technologies and international orientation, has become a central player in global dry bulk transport. This shift reflects the changing dynamics of regional trade, with Qingdao’s port technologies and global connectivity positioning it as a leader in the industry. This study provides valuable insights for port authorities, helping them understand the evolution of port systems and enhance the efficiency of neighboring ports. Full article
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Figure 1
<p>The geographical location of Bohai Rim port cluster.</p>
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<p>The trend of cargo throughput in Bohai Rim port cluster.</p>
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<p>Oil, ore, coal, and grain throughput in Bohai Rim port cluster.</p>
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<p>The structure of the Bohai Rim port cluster transportation network.</p>
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<p>The shiftrate of the Bohai Rim port cluster.</p>
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<p>Global trade network of bulk cargo around Bohai Rim port cluster.</p>
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35 pages, 99630 KiB  
Article
Tornadic Storm over the Foothills of Central Nepal Himalaya
by Toshihiro Kitada, Sajan Shrestha, Sangeeta Maharjan, Suresh Bhattarai and Ram Prasad Regmi
Meteorology 2024, 3(4), 412-446; https://doi.org/10.3390/meteorology3040020 - 1 Dec 2024
Viewed by 652
Abstract
On the evening of 31 March 2019, Parsa and Bara Districts in central Nepal were severely hit by a wind storm which was the first documented tornadic incidence in Nepal.In this paper, we investigate the background of the tornado formation via numerical simulations [...] Read more.
On the evening of 31 March 2019, Parsa and Bara Districts in central Nepal were severely hit by a wind storm which was the first documented tornadic incidence in Nepal.In this paper, we investigate the background of the tornado formation via numerical simulations with the WRF-ARW model. The results show that: (1) a flow situation favorable to the generation of mesocyclones was formed by a combination of local plain-to-mountain winds consisting of warm and humid southwesterly wind in the lower atmosphere and synoptic northwesterly wind aloft over the southern foothills of the Himalayan Mountain range, leading to significant vertical wind shear and strong buoyancy; (2) the generated mesocyclone continuously shed rain-cooled outflow with 600∼800 m depth above the ground into the Chitwan valley while moving southeastward along the Mahabharat Range at the northeastern rim of the Chitwan valley; (3) the cold outflow propagated in the valley, forming a front; and (4) the tornado was generated when this cold outflow passed over the Siwalik Hills bordering the southern rim of the Chitwan valley. At this point, descending flow around a high mountain generated positive vertical vorticity near the ground; blocking by this high mountain and channeling through a mountain pass enhanced updrafts at the front by forming a hydraulic jump. These updrafts amplified the positive vertical vorticity via stretching, and this interaction of the cold outflow with the Siwalik Hills contributed to tornadogenesis. The simulated location and time of the disaster showed generally good agreement with the reported location and time. Full article
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Figure 1
<p>Pictures showing damage caused by the storm on 31 March 2019 over the Parsa and Bara Districts of Nepal. Pictures adapted from various online sources.</p>
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<p>Footprint of damage due to the 31 March 2019 storm over the Parsa and Bara Districts of the Central Nepal Himalaya foothills. Images from the European Space Agency (ESA)’s Sentinel satellite (<b>a</b>) before the disaster (27 March 2019) and (<b>b</b>) after the disaster (1 April 2019). The appearance of a narrow strip of soil color running northwest–southeast in the middle of (<b>b</b>) and not seen in (<b>a</b>) resembles the tornado tracks seen in other parts of the world.</p>
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<p>Three-dimensional terrain structure of the area in and around the storm-hit area enclosed by the fine domain (D2). The inset shows the same area enclosed by the finest domain (D3). Important places are indicated in the figure. The left and right polygons in the central area of the inset indicate Parsa and Bara Districts, which were severely hit by the 31 March 2019 storm (see pictures in <a href="#meteorology-03-00020-f001" class="html-fig">Figure 1</a>).</p>
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<p>The triply-nested WRF simulation domain configuration centered at <math display="inline"><semantics> <msup> <mn>27.24</mn> <mo>∘</mo> </msup> </semantics></math> N, <math display="inline"><semantics> <msup> <mn>84.78</mn> <mo>∘</mo> </msup> </semantics></math> E (see star in the figure). Important places are indicated in the figure.</p>
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<p>Comparison of three-day WRF simulated and observed (<b>a</b>–<b>m</b>) diurnal variation of temperature, relative humidity, wind speed, and wind direction and (<b>a’</b>–<b>m’</b>) the corresponding scatter plots for different ground stations. Temperature and relative humidity comparisons are presented only for Kathmandu station. The name of the stations are noted in the figure.</p>
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<p>Comparison of vertical temperature sounding at 0000 UTC (0545 LST) 31 March 2019 at different radiosonde stations in India and China. In the figure, the left and right wind barbs represent the observed and simulated wind speeds. The locations of the sounding stations are mentioned above the corresponding observed sounding data; see <a href="#meteorology-03-00020-f002" class="html-fig">Figure 2</a> for the locations.</p>
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<p>Satellite images of clouds over Nepal taken by the Himawari-8 satellite (Band 13): 0940 UTC (1525 LST) 31 March 2019–1500 UTC (2045 LST) 31 March 2019. Source: <a href="https://www.data.jma.go.jp/mscweb/data/himawari/sat_img.php" target="_blank">https://www.data.jma.go.jp/mscweb/data/himawari/sat_img.php</a> (accessed on 1 April 2019). The national border was overlaid over the images by the authors. The red circles in (<b>d</b>) through (<b>l</b>) denote the Parsa–Bara area where the tornado passed from 1345 UTC (1930 LST) to 1445 UTC (2030 LST). The blue circles in (<b>a</b>,<b>b</b>,<b>d</b>,<b>h</b>,<b>i</b>) indicate a strong convective cloud cluster identified with the bright spots in the images.</p>
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<p>Horizontal wind vectors with (<b>a</b>) equivalent-potential temperature (K) at 850 hPa and (<b>b</b>) horizontal wind velocity (m s<sup>−1</sup>) at 700 hPa in D2 on 1015 UTC (1600 LST). The location of the red ellipse in (<b>a</b>,<b>b</b>) roughly corresponds to that of the blue circle in <a href="#meteorology-03-00020-f007" class="html-fig">Figure 7</a>b.</p>
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<p>Horizontal wind vectors and wind velocity at 1230 UTC (1815LST) in D3: (<b>a</b>) surface, (<b>b</b>) 850, (<b>c</b>) 700, and (<b>d</b>) 500 hPa; (<b>e</b>) rain fall (mm h<sup>−1</sup>), and (<b>f</b>) vertical cross-section of wind and vertical wind velocity along SN line through x = 60 km from [y] = 0 to 130 km (i.e., y = 10 to 140 km in D3). In (<b>a</b>–<b>e</b>), the color dots represent specific locations: green for the center of D3, red for Kathmandu, and pink, white, and black for specific tornado-damaged places.</p>
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<p>Wind vectors and equivalent potential temperature at 800 hPa in D2 at 1230 UTC (1815 LST). Domain D3 is shown at the center. The red-circled area corresponds to the same areas of D3 in <a href="#meteorology-03-00020-f009" class="html-fig">Figure 9</a>. The thin solid contours indicate terrain heights, with an interval of 400 m.</p>
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<p>The area damaged by the storm at around 1345 UTC (1930 LST) 31 March 2019–1445 UTC (2030 LST) 31 March 2019. The blue circle with small white dot shows places that reported damage plotted using the information in [<a href="#B2-meteorology-03-00020" class="html-bibr">2</a>]. The red box depicts the D3 domain, while the black circle with white cross indicates the center of D3. The blue circle with the small white circle is the city of Bharatpur; similarly, the red circle with the white circle is the city of Pokhara. The teardrops indicate meteorological observatories: blue for Devachuli, red for Parwanipur (only surface observation), and black for Gorakhpur. The diagonal line across D3 approximately coincides with the tornado’s path.</p>
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<p>Simulated horizontal wind vectors in D3 (<b>b</b>–<b>f</b>) or D’3 (<b>a</b>) at 1400 UTC (1945 LST) at (<b>a</b>) surface level with potential temperature (color shaded) and topographical contours (thin solid lines in intervals of 200 m), (<b>b</b>) 950 hPa with topography, (<b>c</b>) 850 hPa with horizontal wind velocity (color shaded), (<b>d</b>) 800 hPa with topography, (<b>e</b>) 700 hPa with horizontal wind velocity (color shaded), and (<b>f</b>) 500 hPa with horizontal wind velocity (color shaded). Note that D’3 with X = 0 to 100 km and Y = 50 to 150 km is a part of D3. The green dot marks the center of domain D3, while the red dot represents Kathmandu. The pink, white, and black dots show some of the tornado-damaged places (see <a href="#meteorology-03-00020-f011" class="html-fig">Figure 11</a> for the whole damaged area). The tornado moved roughly parallel to the diagonal line of the domain, indicated by the thin black line (see <a href="#meteorology-03-00020-f011" class="html-fig">Figure 11</a> for the path of the tornado). The black circle in <a href="#meteorology-03-00020-f012" class="html-fig">Figure 12</a>a is the suggested location of tornadogenesis, as discussed in <a href="#sec4dot3-meteorology-03-00020" class="html-sec">Section 4.3</a>. See the text for the definitions of other lines and circled areas.</p>
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<p>Vertical cross-sections oriented south–north through a west–east distance x = 70 km in D3 (see <a href="#meteorology-03-00020-f012" class="html-fig">Figure 12</a>) of the simulated meteorological variables at 1400 UTC (1945 LST): (<b>a</b>) wind vectors (with y- and z-velocity components), on which vertical velocity “w” (color shaded) and potential temperature <math display="inline"><semantics> <mi>θ</mi> </semantics></math> (green contours with 0.5 K interval) are overlaid; (<b>b</b>) CAPE (color shaded); and (<b>c</b>) CIN (contoured every 10 J kg<sup>−1</sup>). The south–north axis [y] in this figure corresponds to the south–north distance y in D3 minus 10 km, e.g., [y] = 75 km in this figure is equal to y = 85 km in D3 in <a href="#meteorology-03-00020-f012" class="html-fig">Figure 12</a>. In (<b>a</b>), the thick dashed line shows an isotherm at <math display="inline"><semantics> <mi>θ</mi> </semantics></math> = 308 K and indicates that a layer of colder air lies below the line and above the ground (see discussion in the text). The thick solid arrow illustrates a sample trajectory of the colder air flowing down the mountain pass (see discussion in <a href="#sec4dot3dot2-meteorology-03-00020" class="html-sec">Section 4.3.2</a>). The vertical dashed line at [y] = 75 km in (<b>a</b>–<b>c</b>) shows the front of the cold outflow.</p>
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<p>Horizontal distributions of geopotential heights (GPH in m; contoured every 1 m) in D3 at 1400 UTC (1945 LST) 31 March 2019. (<b>a</b>) 500 hPa; pink, red, green, and blue lines are used for 5782, 5784, 5786, and 5788 m, respectively; the location of the lowest GPH of 5767 m (i.e., the lowest pressure, indicating a mesocyclone) is shown with a yellow solid circle at (x, y) = (91, 97) in km for both x (west–east) and y (south–north) directions, while the red circle shows the location of the same mesocyclone at 1315 UTC (1900 LST). (<b>b</b>) 700 hPa; pink, red, green, and blue lines are used for 3122, 3124, 3126, and 3128 m, respectively; there are three low pressure eyes with GPH = 3121∼3122 m at (x, y) = (79, 95.5), (44, 105), and (18, 104) in km, the same as in (<b>a</b>). (<b>c</b>) 850 hPa; pink, red, blue, green, and gold lines are used for 1480, 1482, 1484, 1486, and 1488 m, respectively; two low pressure eyes with GPH = 1480 m are at (x, y) = (61, 86), and (8, 98) in km, the same as in (<b>a</b>). (<b>d</b>) 900 hPa; pink, red, blue, green, and gold lines are used for 980, 982, 984, 986, and 988 m, respectively; two low pressure eyes with 980 m are at (x, y) = (60, 86), and (8, 88) in km, the same as in (<b>a</b>). The thick solid black lines indicate the higher mountains comprising the Siwalik and Someshwar Ranges. The cross-point of two dashed lines parallel to the x- or y-axis (the black ellipse in (<b>c</b>,<b>d</b>) is where we think the tornado was generated (see text for discussion)). The thin black diagonal line in each figure indicates the tornado’s path.</p>
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<p>Vertical cross-section of the simulated meteorological variables along a south–north line (parallel to the y-axis) through the west–east distance x = 90 km in D3 at 1400 UTC (1945 LST). The vertical cross-section intercepts the center of the mesocyclone. A black vertical dashed line at the south-north axis [y] = 86 km indicates the location of the mesocyclone. (The solid yellow circle in <a href="#meteorology-03-00020-f014" class="html-fig">Figure 14</a> and so on depicts the mesocyclone in 1400 UTC (1945 LST)). The figure plots wind-vectors (with y- and z-velocity components), and overlays vertical wind velocity “w” (color shaded) and potential temperature <span class="html-italic">θ</span> (green-contours with 0.5 K interval). The south-north axis [y] in this figure corresponds to the south-north distance y in D3 minus 10 km; for example, [y] = 86 km in this figure is equal to y = 96 km in D3 of <a href="#meteorology-03-00020-f012" class="html-fig">Figure 12</a>, etc.</p>
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<p>Horizontal distribution of simulated one-hour rainfall at the surface for 1400 UTC (1945 LST) 31 March 2019. The thick black solid lines depict high mountains in the Siwalik and Someshwar Ranges (see <a href="#meteorology-03-00020-f011" class="html-fig">Figure 11</a>) with heights exceeding 800 m ASL. The dashed lines are parallel to each relevant axis, and the cross-point of two dashed lines is the supposed location of tornadogenesis (see the text for detail). The colored dots represent specific locations: green for the center of domain D3, red for Kathmandu, and pink, white, and black for specific tornado-damaged sites.</p>
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<p>Horizontal distributions of the simulation-derived winds and vertical vorticity at 1400 UTC (1945 LST) 31 March 2019: (<b>a</b>) vertical wind velocity (w) in m s<sup>−1</sup> (color shaded, with warm and cold colors for updraft and downdraft, respectively) and horizontal wind vectors at 500 m AGL; (<b>b</b>) vertical vorticity (<math display="inline"><semantics> <mi>ζ</mi> </semantics></math>) in s<sup>−1</sup> (color shaded, with warm and cold colors for cyclonic and anti-cyclonic, respectively) at 30 m AGL; and (<b>c</b>) the same as (<b>b</b>) but for 500 m AGL. The heavy black lines depict high mountain ranges with heights above 800 m ASL. The small yellow disk with black boarder indicates the center of the mesocyclone. The horizontal (vertical) dashed line is parallel to x- (y-) axis, and the intersection of the two dashed lines is the assumed location of tornadogenesis. The difference in potential temperature between both ends of the short red line at around (x, y) = (72, 95) (km) in (<b>b</b>) is discussed in relation to baroclinic production of streamwise vorticity along the trajectory of descending air parcels; see <a href="#sec4dot3dot2-meteorology-03-00020" class="html-sec">Section 4.3.2</a>.</p>
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<p>Schematic of tornado formation. The “T” on the rain-cooled outflow boundary represents the place where the tornado was born. The area circled by the dashed line on the lee side of the mountain shows where the flow situation favored the production of positive vertical vorticity near the ground. The cold airflow descending around the mountain tends to have streamwise vorticity, which can be converted to positive vertical vorticity by tilting (see the area circled by the red line in <a href="#meteorology-03-00020-f017" class="html-fig">Figure 17</a>b). The difference in potential temperature between two ends of the red double-arrow line shows the production of streamwise vorticity due to baroclinity (see text). The updraft at the cold outflow boundary subsequently stretched the vortex, leading to tornado formation; the updrafts are shown along the vertical line at around [y] = 75 km in <a href="#meteorology-03-00020-f013" class="html-fig">Figure 13</a>a, also indicated in horizontal distribution of vertical wind at 500 m AGL in <a href="#meteorology-03-00020-f017" class="html-fig">Figure 17</a>a. The updraft is enhanced by hydraulic jump of the cold outflow on the lee of the mountain and by convection of the moist air with high CAPE value in the layer of 1∼2 km AMSL, shown around [y] = 75 km in <a href="#meteorology-03-00020-f013" class="html-fig">Figure 13</a>b.</p>
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<p>Simulated trajectories passing over the intersection of the lines oriented south–north through x = 70 km and west–east through y = 85 km, i.e., the two dashed lines in <a href="#meteorology-03-00020-f017" class="html-fig">Figure 17</a> at 1400 UTC (1945 LST). The intersection is supposed as the place of the tornadogenesis, which is schematically shown by the “T” in <a href="#meteorology-03-00020-f018" class="html-fig">Figure 18</a>. The trajectory calculation was performed from 1350 UTC (1935 LST) to 1410 UTC (1955 LST). The details of the calculation are described in the text. The starting heights of the trajectory calculations at 1400 UTC (1945 LST) were set every 50 m from 100 m AGL (350 AMSL) to 300 m AGL (550 m AMSL). (<b>a</b>) Horizontal projection of the two trajectories at the lowest (100 m AGL) and highest (300 m) starting heights; (<b>b</b>) vertical projection of the same trajectories as in (<b>a</b>); and (<b>c</b>) time records of the heights of the simulated trajectories. The red dashed line shows the starting time of 1400 UTC (1945 LST) for the backward and forward calculations, demonstrating that each trajectory is near its lowest height at around 1400 UTC (1945 LST).</p>
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<p>Development of horizontal vorticity magnitude due to both streamwise and crosswise vorticity and vertical vorticity along the simulated trajectories for the period from 1350 UTC (1935 LST) to 1410 UTC (1955 LST). The calculation was started at 1400 UTC (1945 LST) in backward or forward manner with starting heights at (<b>a</b>) 100 m AGL (i.e., 350 m AMSL) and (<b>b</b>) 300 m AGL (550 m AMSL). The vorticities were evaluated using WRF-simulated wind fields, as described in the text.</p>
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<p>(<b>a</b>) Same in <a href="#meteorology-03-00020-f013" class="html-fig">Figure 13</a>a but for vertical vorticity (color shaded) at 1400 UTC (1945 LST); the wind vectors (u and w components) and potential temperature (green contours) are also plotted. Note that the vertical axis is shown up to 2.5 km AMSL, and is different from <a href="#meteorology-03-00020-f013" class="html-fig">Figure 13</a>a. The red horizontal line emphasizes the height of 1.1 km AMSL at which the upward wind speed is maximum on a vertical line through [y] = 75 km (see (<b>b</b>) and <a href="#meteorology-03-00020-f013" class="html-fig">Figure 13</a>a). The black vertical line shows the front of the cold outflow. (<b>b</b>) Vertical profiles of the vertical wind speed (m s<sup>−1</sup>) and vertical vorticity (s<sup>−1</sup>) at [y] = 75 km at the front of the cold outflow.</p>
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<p>Isochrones of the leading edge (front) of the cold outflow on 31 March 2019, plotted every 30 min with different colors. The leading edge was identified as where the vertical wind velocity at the 900 hPa level exceeds 1.2 m s<sup>−1</sup>. The black and red circles in D3 respectively indicate the location of the front at 1245 UTC (1830 LST) and 1445 UTC (2030 LST). The dashed arrow represents the main propagation direction of the cold outflow associated with the mesocyclone. The figure shows domain D2, in which domain D3 is located at the center. The gray color with black contours represents the terrain elevation. The minimum value of the terrain contour is 800 m AMSL, and the contour interval is 800 m.</p>
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<p>(<b>a</b>) Same as <a href="#meteorology-03-00020-f017" class="html-fig">Figure 17</a>a, but for the wind relative to the advancing front of cold outflow (front-relative wind). (<b>b</b>) Same as <a href="#meteorology-03-00020-f013" class="html-fig">Figure 13</a>a, but for the front-relative wind. The thick white arrow indicates the advancing direction of the front, while the dashed arrows show possible trajectories of air parcels reaching the point of the tornadogenesis. Plan view (<b>a</b>) and vertical view (<b>b</b>). The advancing velocity vector of the front applied to calculate the front-relative wind is estimated at (u<sub><span class="html-italic">f</span></sub>, v<sub><span class="html-italic">f</span></sub>) = (8.1, −8.1) in m s<sup>−1</sup> from <a href="#meteorology-03-00020-f022" class="html-fig">Figure 22</a>, while the advancing speed of the front is about 11.5 m s<sup>−1</sup> (see text for details).</p>
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12 pages, 1933 KiB  
Article
Metallacrown of CeIIICuII5: Synthesis, Structural Characterization and Insights for Nanoparticles
by Jésio D. Tempesta, Fábio Faria Paiva, Leonildo A. Ferreira, Rafaela M. R. da Silva, Luckerman D. G. Botelho, Iara M. L. Rosa, Caio Cesar Candido, Angelo Marcio Gomes, Wallace C. Nunes, Guilherme P. Guedes and Maria Vanda Marinho
Magnetochemistry 2024, 10(12), 96; https://doi.org/10.3390/magnetochemistry10120096 - 30 Nov 2024
Viewed by 603
Abstract
The heterobimetallic 15-MC-5 metallacrown of formula [CeCu5(5mpzHA)5(NO3)(H2O)7]·2NO3·7H2O, designated MC-Ce, was synthesized using 5-methyl-2-pyrazinehydroxamic acid (5mpzHA) as a linker, reacting with CeIII and CuII salts under mild [...] Read more.
The heterobimetallic 15-MC-5 metallacrown of formula [CeCu5(5mpzHA)5(NO3)(H2O)7]·2NO3·7H2O, designated MC-Ce, was synthesized using 5-methyl-2-pyrazinehydroxamic acid (5mpzHA) as a linker, reacting with CeIII and CuII salts under mild conditions. Single-crystal X-ray diffraction analysis reveals a crown-like [Cu5Ce(5mpzHA)5] core, characteristic of a 15-MC-5 system, with five CuII atoms at the rim of the crown and the CeIII ion occupying the dome of the crown, with water molecules, oxygen atoms and one nitrate anion filling the nine-coordination sphere around the CeIII ion, which exhibits a distorted spherical tricapped trigonal prism geometry. The thermogravimetric analysis evidences successive mass losses due to the removal of water molecules and decomposition of the structure after 217 °C, whereas the PXRD analysis of the thermal decomposition residue reveals the presence of copper and copper/cerium oxide particles. These nanocomposite materials were also synthesized using the metallacrown MC-Ce under a hydrothermal method in the presence of multi-walled carbon nanotubes (MWCNTs), affording insights that this metallacrown can act as a source precursor for the synthesis of these mixed cerium/copper oxide nanomaterials. The experimental χMT value in MC-Ce at room temperature is 3.175 cm3 mol−1 K, which is higher than the calculated one for one magnetically isolated CeIII plus five CuII ions, probably due to the antiferromagnetic interactions among CuII ions within the metallacrown hoop plus the thermal depopulation of JZ sublevels of CeIII ground state (5/2), which exhibit a small splitting under the anisotropic ligand field effects. The χMT decreases continuously until it reaches the value of 0.80 cm3 mol−1 K at 10 K, reinforcing the presence of intramolecular antiferromagnetic interactions. Full article
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<p>Thermal decomposition of MC-Ce under N<sub>2</sub>, showing TG (red) and DSC (black) curves.</p>
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<p>PXRD analysis of final product after thermal decomposition of <b>MC-Ce</b>.</p>
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<p>PXRD pattern in the presence of MWCNTs at 190 °C for 24 h using <b>MC-Ce</b> as a single route for nanoparticles.</p>
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<p>The asymmetric unit of MC-Ce with selected atom labeling. Hydrogen atoms and uncoordinated water molecules, and part of the disorder on the coordinated nitrate ion to Cu3, were omitted for clarity. Color codes: carbon (grey), copper (cyan), oxygen (red), nitrogen (blue), and cerium (yellow).</p>
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<p>Supramolecular dimers are formed by hydrogen bonds involving coordinated water molecules and nitrate oxygen atom (<b>top</b>), and intermolecular interactions between crystallization water molecules, water ligands, and pyrazine nitrogen atom (<b>bottom</b>).</p>
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<p>Temperature dependence of the <span class="html-italic">χ<sub>M</sub></span>T product of <b>MC-Ce</b> was measured by applying the 1 kOe dc field. The solid line is the best fit (see the main text for details). Inset: a magnified view in the temperature range of 2–50 K.</p>
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<p>Isothermal M vs. H plot for complex <b>MC-Ce</b> measured at 2, 4, and 8~K. Inset: reduced magnetization plot (M vs. H/T) measured at 2, 4, and 8 K.</p>
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27 pages, 539 KiB  
Article
Modification of Premises for the Black Hole Information Paradox Caused by Topological Constraints in the Event Horizon Vicinity
by Janusz Edward Jacak
Entropy 2024, 26(12), 1035; https://doi.org/10.3390/e26121035 - 29 Nov 2024
Viewed by 417
Abstract
We demonstrate that at the rim of the photon sphere of a black hole, the quantum statistics transition takes place in any multi-particle system of indistinguishable particles, which passes through this rim to the inside. The related local departure from Pauli exclusion principle [...] Read more.
We demonstrate that at the rim of the photon sphere of a black hole, the quantum statistics transition takes place in any multi-particle system of indistinguishable particles, which passes through this rim to the inside. The related local departure from Pauli exclusion principle restriction causes a decay of the internal structure of collective fermionic systems, including the collapse of Fermi spheres in compressed matter. The Fermi sphere decay is associated with the emission of electromagnetic radiation, taking away the energy and entropy of the falling matter without unitarity violation. The spectrum and timing of the related e-m radiation agree with some observed short giant gamma-ray bursts and X-ray components of the luminosity of quasars and of short transients powered by black holes. The release of energy and entropy when passing the photon sphere rim of a black hole significantly modifies the premises of the information paradox at the falling of matter into a black hole. Full article
(This article belongs to the Special Issue The Black Hole Information Problem)
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<p>The squared effective potential (<a href="#FD5-entropy-26-01035" class="html-disp-formula">5</a>) for some exemplary values of reduced angular momentum <math display="inline"><semantics> <mrow> <mi>l</mi> <mo>=</mo> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mi mathvariant="script">L</mi> <mrow> <mi>m</mi> <mi>c</mi> <msub> <mi>r</mi> <mi>s</mi> </msub> </mrow> </mfrac> </mstyle> </mrow> </semantics></math> (dimensionless). With the increase in <math display="inline"><semantics> <mi mathvariant="script">L</mi> </semantics></math>, the squared potential is steeper in the region <math display="inline"><semantics> <mrow> <mi>r</mi> <mo>∈</mo> <mo>(</mo> <mn>0</mn> <mo>,</mo> <mn>1.5</mn> <msub> <mi>r</mi> <mi>s</mi> </msub> <mo>)</mo> </mrow> </semantics></math> (singular at <math display="inline"><semantics> <mrow> <mi>r</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math>). The event horizon at <math display="inline"><semantics> <mrow> <mi>r</mi> <mo>=</mo> <msub> <mi>r</mi> <mi>s</mi> </msub> </mrow> </semantics></math> and the innermost unstable circular orbit with <math display="inline"><semantics> <mrow> <mi>r</mi> <mo>=</mo> <mn>1.5</mn> <msub> <mi>r</mi> <mi>s</mi> </msub> </mrow> </semantics></math> are marked.</p>
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<p>Radii of stable (blue line) and unstable (red line) circular orbits versus an angular momentum of a particle near the general relativistic gravitational singularity in the Schwarzschild metric (<a href="#FD1-entropy-26-01035" class="html-disp-formula">1</a>) obtained by the solution of the second equation in the pair (<a href="#FD6-entropy-26-01035" class="html-disp-formula">6</a>). The innermost stable circular orbit occurs at <math display="inline"><semantics> <mrow> <mi>r</mi> <mo>=</mo> <mn>3</mn> <msub> <mi>r</mi> <mi>s</mi> </msub> </mrow> </semantics></math> (yellow dashed horizontal). The coordinates of the point A are <math display="inline"><semantics> <mrow> <mi mathvariant="script">L</mi> <mo>=</mo> <msqrt> <mn>3</mn> </msqrt> <mi>m</mi> <mi>c</mi> <msub> <mi>r</mi> <mi>s</mi> </msub> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="script">E</mi> <mn>0</mn> </msub> <mo>=</mo> <msqrt> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mn>8</mn> <mn>9</mn> </mfrac> </mstyle> </msqrt> <mi>m</mi> <msup> <mi>c</mi> <mn>2</mn> </msup> </mrow> </semantics></math>. The innermost unstable circular orbit occurs at <math display="inline"><semantics> <mrow> <mi>r</mi> <mo>=</mo> <mn>1.5</mn> <msub> <mi>r</mi> <mi>s</mi> </msub> </mrow> </semantics></math> for infinite values of <math display="inline"><semantics> <mi mathvariant="script">L</mi> </semantics></math> and <math display="inline"><semantics> <msub> <mi mathvariant="script">E</mi> <mn>0</mn> </msub> </semantics></math>—marked in the figure by a brown dashed horizontal asymptote. Beneath the innermost stable circular orbit, neither a circular nor any local closed orbit exists. The event horizon and the photon sphere rim (the innermost unstable circular orbit) are shown for illustration.</p>
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<p>Trajectories of particles which have crossed the photon sphere rim inward, have the form of short spirals directed onto the event horizon—this follows from the solution of Equation (<a href="#FD3-entropy-26-01035" class="html-disp-formula">3</a>) in the radius sector <math display="inline"><semantics> <mrow> <mi>r</mi> <mo>∈</mo> <mo>(</mo> <msub> <mi>r</mi> <mi>s</mi> </msub> <mo>,</mo> <mn>1.5</mn> <msub> <mi>r</mi> <mi>s</mi> </msub> <mo>)</mo> </mrow> </semantics></math>. In the figure, there are shown these spirals for several initial conditions and motion integrals <math display="inline"><semantics> <mi mathvariant="script">L</mi> </semantics></math> and <math display="inline"><semantics> <msub> <mi mathvariant="script">E</mi> <mn>0</mn> </msub> </semantics></math> as specified in the Inset (in which spirals are shown in the coordinates—azimuthal angle versus radius). Though unidirectional spirals can mutually intersect (for opposite signs of angular momenta), it is impossible to close any loop built from their pieces. It means that particles in the photon sphere cannot mutually exchange positions if they belong to the multi-particle system which has passed the photon sphere rim inward. The timing of traversing these spirals is defined by Equation (<a href="#FD2-entropy-26-01035" class="html-disp-formula">2</a>) written in the ordinary time of a remote observer. Changing to the proper time (or to any other curvilinear coordinates in different metrics) does not change the homotopy class of these spirals—local closed loops are not admissible beneath the photon sphere rim in contrary to the upper neighborhood, where arbitrary small local loops are possible due to the crossing of conic sections.</p>
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<p>Illustrative drawing of the shift of a firewall from the event horizon to the photon sphere rim. The firewall on the event horizon proposed by Polchinski [<a href="#B6-entropy-26-01035" class="html-bibr">6</a>] in order to cope with the information paradox would be invisible for any remote observer. The decay of Fermi spheres in compressed matter passing the photon sphere rim is the source of intensive e-m radiation emission, which takes away the energy and entropy of matter consumed by a black hole—thus, it can take the role of the firewall, considerably changing the premises of the information paradox. Such a firewall would be visible to any remote observer—in particular, it can be responsible for some giant gamma-ray bursts associated with collapses of neutron star mergers or large non-thermal radiation of superluminous quasars.</p>
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17 pages, 6914 KiB  
Article
Assessing Perceptions and Interpretations of Tsunami Maps: Insights from the Public and Risk Experts
by Teresa Vera San Martín, Gloria I. López, Carlos Mestanza-Ramón, Celene B. Milanés and Fausto A. Canales
Water 2024, 16(23), 3423; https://doi.org/10.3390/w16233423 - 28 Nov 2024
Viewed by 463
Abstract
Tsunami maps provide critical information about tsunami hazards, potential inundation areas, and safe evacuation routes, yet little research has addressed how different user groups perceive and interpret these maps. Using a questionnaire distributed to 181 participants (24 experts—EXs and 157 general users—GUs) and [...] Read more.
Tsunami maps provide critical information about tsunami hazards, potential inundation areas, and safe evacuation routes, yet little research has addressed how different user groups perceive and interpret these maps. Using a questionnaire distributed to 181 participants (24 experts—EXs and 157 general users—GUs) and the chi-square (χ2) test, this research explored their understanding and perception of map elements, symbology, probabilistic data, and uncertainty communication. The results show that while both groups generally understand the maps, significant differences exist in their perception of essential map elements, such as evacuation routes, safe zones, and technical data. On average, EXs identified 7.38 elements that evacuation maps should contain, consistently emphasizing the need for more detailed information, whereas GUs preferred simplicity, selecting an average of 5.11 elements. These results highlight the need to balance detail and clarity in map design to serve both user groups effectively. Notably, the results suggest that at least 33% of EXs and 47% of GUs did not clearly distinguish between tsunami hazard and evacuation maps, highlighting the need for clearer map design and terminology. The study also revealed challenges in communicating probabilistic data and uncertainty to non-experts, suggesting the need for improved methods to present this information effectively. Full article
(This article belongs to the Section Oceans and Coastal Zones)
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<p>Characteristics of the individuals that completed the questionnaire.</p>
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<p>Maps employed in most questions: (<b>a</b>) single-zone inundation map; (<b>b</b>) inundation map with depth intervals; (<b>c</b>) single-zone inundation area map with probabilistic information; (<b>d</b>) inundation area map with depth intervals and probabilistic information; (<b>e</b>) probabilistic tsunami hazard map (MIH—Maximum Inundation Height) using a 1000-year return period and 16th percentile model [<a href="#B47-water-16-03423" class="html-bibr">47</a>]; (<b>f</b>) probabilistic tsunami hazard map (MIH—Maximum Inundation Height) using a 1000-year return period and 84<sup>th</sup> percentile model [<a href="#B47-water-16-03423" class="html-bibr">47</a>].</p>
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<p>Maps that incorporate information related to inundation levels and evacuation paths: (<b>a</b>) no background; (<b>b</b>) base aerial/satellite image as background; (<b>c</b>) contour lines included.</p>
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20 pages, 2348 KiB  
Article
Study of Host-Guest Interaction and In Vitro Neuroprotective Potential of Cinnamic Acid/Randomly Methylated β-Cyclodextrin Inclusion Complex
by Federica De Gaetano, Loredana Leggio, Consuelo Celesti, Fabio Genovese, Marco Falcone, Salvatore Vincenzo Giofrè, Nunzio Iraci, Nunzio Iraci and Cinzia Anna Ventura
Int. J. Mol. Sci. 2024, 25(23), 12778; https://doi.org/10.3390/ijms252312778 - 28 Nov 2024
Viewed by 461
Abstract
Cinnamic acid (CA) has many beneficial effects on human health. However, its poor water solubility (0.23 g/L, at 25 °C) is responsible for its poor bioavailability. This drawback prevents its clinical use. To overcome the solubility limits of this extraordinary natural compound, in [...] Read more.
Cinnamic acid (CA) has many beneficial effects on human health. However, its poor water solubility (0.23 g/L, at 25 °C) is responsible for its poor bioavailability. This drawback prevents its clinical use. To overcome the solubility limits of this extraordinary natural compound, in this study, we developed a highly water-soluble inclusion complex of CA with randomly methylated-β-cyclodextrin (RAMEB). The host-guest interaction was explored in liquid and solid states by UV-Vis titration, phase solubility analysis, FT-IR spectroscopy, and 1H-NMR. Additionally, molecular modeling studies were carried out. Both experimental and theoretical studies revealed a 1:1 CA/RAMEB inclusion complex, with a high apparent stability constant equal to 15,169.53 M−1. The inclusion complex increases the water solubility of CA by about 250-fold and dissolves within 5 min. Molecular modeling demonstrated that CA inserts its phenyl ring into the RAMEB cavity with its propyl-2-enoic acid tail leaning from the wide rim. Finally, a biological in vitro study of the inclusion complex, compared to the free components, was performed on the neuroblastoma SH-SY5Y cell line. None of them showed cytotoxic effects at the assayed concentrations. Of note, the pretreatment of SH-SY5Y cells with CA/RAMEB at 10, 30, and 125 µM doses significantly counteracted the effect of the neurotoxin MPP+, whilst CA and RAMEB alone did not show any neuroprotection. Overall, our data demonstrated that inclusion complexes overcome CA solubility problems, supporting their use for clinical applications. Full article
(This article belongs to the Special Issue Cyclodextrins: Properties and Applications, 2nd Edition)
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<p>Schematic representation of (<b>A</b>) RAMEB (the positions of the carbon atoms with numerical indexes in each glucose unit are C1, C4, C5, and C6, as highlighted in the red box) and (<b>B</b>) CA.</p>
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<p>Dissolution profiles of free CA (circles and blue line) as compared to the physical mixture (triangles and purple line) and the inclusion complex (squares and red line) in water at 25 ± 0.5 °C. The experiments were carried out in triplicate. The results are presented as the mean of three different experiments ± standard deviation (SD). The error bar, if not shown, is inside the symbol. CA/RAMEB inclusion complex values are statistically significant compared to free CA data (*** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>UV-vis spectra of free CA and in the presence of an increasing amount of RAMEB in water at 25.0 ± 0.5 °C. The experiments were carried out in triplicate.</p>
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<p>Phase-solubility diagrams of CA/RAMEB at 25.0 ± 0.5 °C. The experiments were carried out in triplicate ± standard deviation (SD). The error bar, if not shown, is inside the symbol.</p>
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<p>FT-IR spectra of the CA/RAMEB inclusion complex compared to the free components and the physical mixture.</p>
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<p>TGA thermograms of the CA/RAMEB inclusion complex compared to the free components and the physical mixture.</p>
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<p>Representative conformation of the most populated CA/RAMEB complex cluster from REST MD simulation (replica 0–300 K). CA is represented in magenta sticks whilst RAMEB is depicted in green sticks.</p>
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<p>RMSD of CA and RAMEB heavy atoms as a function of simulation time. Low RMSD simulation time windows are highlighted in green and yellow, while the red area highlights the high RMSD simulation time window.</p>
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<p>(<b>A</b>) Pearson correlation values (ρ) of RMSD with intra- (blue bars) and inter- (green bars) molecular VdW and electrostatic energy terms. (<b>B</b>) Variations of electrostatic and VdW energies terms between the 0 and 1034 ns simulation time window (set to zero); the 1034 and 1133 ns (red bars); and the 1133 and 1200 ns (yellow bars) simulation time windows.</p>
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<p>Structure of CA and general structure of RAMEB (n = 7).</p>
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<p>Stacked portions of <sup>1</sup>H-NMR spectra relative to free CA (red spectra) and CA/RAMEB inclusion complex (green spectra). Full spectra are reported in <a href="#app1-ijms-25-12778" class="html-app">Figures S1–S3</a>.</p>
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<p>Expansion of two dimensional ROESY-AD plot of the CA/RAMEB complex in D<sub>2</sub>O/CD<sub>3</sub>OD (80:20 <span class="html-italic">v</span>/<span class="html-italic">v</span>). Blue and red colour represented negative- and positive-phase signals, respectively. Only the cross-peaks of interest were highlighted with green squares.</p>
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<p>CA-RAMEB complex is neuroprotective against MPP<sup>+</sup> neurotoxin. (<b>A</b>) Schematic representation of the experimental protocol. (<b>B</b>,<b>C</b>) Analysis of the neuroprotective effects of CA/RAMEB (<b>B</b>) and CA alone (<b>C</b>) under 2 mM MPP<sup>+</sup> treatment for 48 h. Data are presented as mean ± SD of three independent experiments. One-way ANOVA with Dunnett’s multiple comparisons versus MPP<sup>+</sup>: * <span class="html-italic">p</span> &lt; 0.05, **** <span class="html-italic">p</span> &lt; 0.0001, ns: not significant.</p>
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23 pages, 7096 KiB  
Article
Kohonen Mapping of the Space of Vibration Parameters of an Intact and Damaged Wheel Rim Structure
by Arkadiusz Rychlik, Oleksandr Vrublevskyi and Daria Skonieczna
Appl. Sci. 2024, 14(23), 10937; https://doi.org/10.3390/app142310937 - 25 Nov 2024
Viewed by 434
Abstract
The research presented in this paper takes another step towards developing methods for automatic condition verification to detect structural damage to vehicle wheel rims. This study presents the utilisation of vibration spectra via Fast Fourier Transform (FFT) and a neural network’s learning capabilities [...] Read more.
The research presented in this paper takes another step towards developing methods for automatic condition verification to detect structural damage to vehicle wheel rims. This study presents the utilisation of vibration spectra via Fast Fourier Transform (FFT) and a neural network’s learning capabilities for evaluating structural damage. Amplitude and time cycles of acceleration were analyzed as the structural response. These cycles underwent FFT analysis, leading to the identification of four diagnostic symptoms described by 20 features of the diagnostic signal, which in turn defined a condition vector. In the subsequent stage, the amplitude and frequency cycles served as input data for the neural network, and based on them, self-organizing maps (SOM) were generated. From these maps, a condition vector was defined for each of the four positions of the rim. Therefore, the technical condition of the wheel rim was determined based on the variance in condition parameter features, using reference frequencies of vibration spectra and SOM visualisations. The outcome of this work is a unique synergetic diagnostic system with innovative features, identifying the condition of a wheel rim through vibration and acoustic analysis along with neural network techniques in the form of Kohonen maps. Full article
(This article belongs to the Section Acoustics and Vibrations)
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<p>General view of the ZRTOK station for identification of the technical condition of wheel rims at the production stage, with highlights of its executive and measurement components. 1—the tested wheel rim; 2—framework with shaft for mounting the tested wheel rim; 3—wheel rim pressure nut; 4a, 4b—sensor of vibration acceleration; 5—shaft rotation angle sensor (encoder); 6—vibration inductor; 7—computing unit.</p>
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<p>Scheme of the physical structure of the diagnostic station.</p>
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<p>Graphical interpretation of the data acquisition process at the ZRTOK testing station: 1—the tested wheel rim; 2—framework with shaft for mounting the tested wheel rim; 3—wheel rim pressure nut; 4—sensor of vibration acceleration; 5—shaft rotation angle sensor (encoder); 6—vibration inductor; 7—wheel valve bore.</p>
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<p>Dimensionality reduction with SOM.</p>
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<p>Methodology flowchart.</p>
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<p>General view of a wheel rim, size 9 × 15.3, utilized in duty vehicles and agricultural machines.</p>
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<p>Spectra of vibration amplitudes for a new 9 × 15.3 wheel rim in serviceable condition (<b>a</b>) and unserviceable condition (<b>b</b>), obtained at the ZRTOK diagnostic station, with selected characteristic frequencies of the station highlighted and the tested wheel rim for four angles of measurements: 0°, 90°, 180°, 270°.</p>
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<p>Spectra of vibration amplitudes for a new 9 × 15.3 wheel rim in serviceable condition (<b>a</b>) and unserviceable condition (<b>b</b>), obtained at the ZRTOK diagnostic station, with selected characteristic frequencies of the station highlighted and the tested wheel rim for four angles of measurements: 0°, 90°, 180°, 270°.</p>
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<p>View of a rupture of the butt joint of the 9 × 15.3 wheel rim (vibration spectrum shown in <a href="#applsci-14-10937-f006" class="html-fig">Figure 6</a>). 1—rupture of the butt joint of the wheel rim; 2—mark of an X-ray of the wheel rim disc.</p>
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<p>Diagram of the dynamic interpretation of the system under consideration.</p>
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<p>Structural diagram of a dynamic system described in terms of state variables.</p>
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<p>Screen view of the Model28 program for identifying modal parameters of the wheel rim-shaft balancer.</p>
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17 pages, 9364 KiB  
Article
Computed Tomographic Findings in Dogs with Hepatic Bacterial Parenchymal Infection and Abscessation
by Luis Maté de Haro, Andrea Vila, Andrea Di Bella, Claudia Mallol, Carlo Anselmi, Jose-Daniel Barreiro-Vazquez, Danica Pollard, Raquel Salgüero, Ella Fitzgerald and Beatriz Moreno-Aguado
Animals 2024, 14(23), 3399; https://doi.org/10.3390/ani14233399 - 25 Nov 2024
Viewed by 583
Abstract
Bacterial liver parenchymal infections in dogs are rarely documented, and their imaging characteristics are scarce in the veterinary literature, especially in Computed Tomography (CT). This retrospective multicentric study aimed to describe the CT characteristics of parenchymal bacterial liver infection and abscessation in dogs [...] Read more.
Bacterial liver parenchymal infections in dogs are rarely documented, and their imaging characteristics are scarce in the veterinary literature, especially in Computed Tomography (CT). This retrospective multicentric study aimed to describe the CT characteristics of parenchymal bacterial liver infection and abscessation in dogs and compare them with the human literature. Twenty dogs met the inclusion criteria. All dogs, except one, showed discrete hepatic lesions consistent with pyogenic liver abscess (19/20). A single case showed diffuse liver changes, which was diagnosed with granulomatous bacterial hepatitis (1/20). Multifocal lesions were associated with the presence of abdominal pain (p = 0.023). CT characteristics of pyogenic liver abscesses in our study resemble those described in the human literature, with multifocal (14/19) or single (5/19), round or ovoid (19/19), hypoattenuating hepatic lesions, which are better visualised in post-contrast images. Pyogenic liver abscesses can also show features such as the “cluster sign” (8/19), transient arterial segmental enhancement (6/10), rim enhancement (6/19), and intralesional gas (4/19). Additional CT findings, such as local lymphadenomegaly (18/20), peritoneal fat stranding (14/20), and peritoneal fluid (13/20), are also commonly observed. Full article
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<p>Classification of the liver changes.</p>
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<p>Transverse unenhanced (<b>A</b>) and venous phase (<b>B</b>) images at the cranial abdomen (window level 50 HU, window width 350 HU). Diffuse liver changes were present, characterised by irregular margination of the liver lobes and homogeneous contrast enhancement. Peritoneal effusion was present (*).</p>
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<p>Transverse unenhanced (<b>A</b>) and venous phase (<b>B</b>) images of a hypoattenuating lesion that deforms the liver contour (white arrows) in the left lateral liver lobe (window level 50 HU, widow width 350 HU). Note the presence of adjacent focal peritoneal fat stranding (*).</p>
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<p>Transverse unenhanced (<b>A</b>), arterial phase (<b>B</b>), and venous phase (<b>C</b>) images of a large lesion showing the “cluster sign” (white arrows) and septal enhancement in the left lateral liver lobe (window level 50 HU, widow width 350 HU). Note the presence of adjacent focal peritoneal fat stranding (*).</p>
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<p>Transverse unenhanced (<b>A</b>), arterial phase (<b>B</b>), and venous phase (<b>C</b>) close-up images at the level of the right medial liver lobe (window level 50 HU, widow width 350 HU). A cluster sign, rim enhancement in the arterial phase, and intralesional gas were noted (black arrows).</p>
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<p>Transverse unenhanced (<b>A</b>) and portal phase (<b>B</b>) images at the left lateral liver lobe (window level 50 HU, widow width 350 HU). A hypoattenuating lesion with intralesional gas was present (thick white arrows). Note also the presence of pneumoperitoneum (black arrows).</p>
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<p>Transverse unenhanced (<b>A</b>), arterial phase (<b>B</b>), and venous phase (<b>C</b>) images at the right medial liver lobe (window level 50 HU, widow width 350 HU). Transient segmental arterial enhancement is present (black arrows).</p>
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