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12 pages, 1210 KiB  
Article
Guinea Pig Sperm Morphology and Fertility under Different Photoperiod
by Hurley Abel Quispe-Ccasa, Yander M. Briceño-Mendoza and Ilse Silvia Cayo-Colca
Animals 2023, 13(14), 2249; https://doi.org/10.3390/ani13142249 - 9 Jul 2023
Viewed by 2096
Abstract
Sperm morphology can predict the reproductive male fertilizing potential. This study aimed to determine the morphological and morphometric spermatozoa characteristics from guinea pigs subjected to different photoperiodic stimulation. Thirty F1 guinea pigs were randomly assigned to three photoperiodic treatments: FT1 (photoperiod with 10 [...] Read more.
Sperm morphology can predict the reproductive male fertilizing potential. This study aimed to determine the morphological and morphometric spermatozoa characteristics from guinea pigs subjected to different photoperiodic stimulation. Thirty F1 guinea pigs were randomly assigned to three photoperiodic treatments: FT1 (photoperiod with 10 Light/14 Dark LED light), FT2 (photoperiod with 10L/14D sunlight), and FT0 (room without direct light source). At 107 ± 9.8 days of age, sperm concentration and motility were higher in the FT0 and FT1 groups (p < 0.05); furthermore, there were no differences in nucleus length and ellipticity between the FT0 and FT1 groups, but the sperm of the FT1 group was higher in perimeter and nuclear area, while that of the FT0 group was higher in roughness, regularity, midpiece length, and tail (p < 0.01). Expanding acrosome (Type 2) was more frequent in the FT2 group, but there was variation in head measurements between all morphological categories. Pregnancy rate, calving age, and mating age were higher in the FT0 group; meanwhile, the FT1 group initiated successful matings earlier (p < 0.01). The FT0 group had a higher fertility rate, and the age of mating and first calving were earlier in the FT1 group than the FT0 group, but no pregnancies were reported for the FT2 group. Photoperiodic stimulation can increase the morphometric dimensions of guinea pig spermatozoa, favoring the reproductive characteristics, but sunlight could reduce their size due to heat stress. Full article
(This article belongs to the Section Animal Reproduction)
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Figure 1
<p>Morphology of guinea pig spermatozoa with Hemacolor<sup>®</sup> staining (Merck, Darmstadt, Germany). Type 1: intact acrosome (<b>a</b>), Type 2: expansion by acrosomal reaction (<b>b</b>), Type 3: the onset of decomposition (<b>c</b>), and Type 4: loss of acrosomal contents and matrix (<b>d</b>). Bar represents 10 μm.</p>
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<p>Atypical forms in guinea pig spermatozoa with Hemacolor<sup>®</sup> staining (Merck, Darmstadt, Germany). Normal (<b>a</b>), spermatozoa with macronucleus (<b>b</b>), micronucleus (<b>c</b>), pyriform (<b>d</b>), elongated (<b>e</b>), and lanceolate (<b>f</b>). Bar represents 10 μm.</p>
Full article ">
16 pages, 3742 KiB  
Article
Complexes of Cationic Pyridylphenylene Dendrimers with Anionic Liposomes: The Role of Dendrimer Composition in Membrane Structural Changes
by Anna A. Efimova, Svetlana A. Sorokina, Kseniya S. Trosheva, Alexander A. Yaroslavov and Zinaida B. Shifrina
Int. J. Mol. Sci. 2023, 24(3), 2225; https://doi.org/10.3390/ijms24032225 - 22 Jan 2023
Cited by 6 | Viewed by 1957
Abstract
In the last decades, dendrimers have received attention in biomedicine that requires detailed study on the mechanism of their interaction with cell membranes. In this article, we report on the role of dendrimer structure in their interaction with liposomes. Here, the interactions between [...] Read more.
In the last decades, dendrimers have received attention in biomedicine that requires detailed study on the mechanism of their interaction with cell membranes. In this article, we report on the role of dendrimer structure in their interaction with liposomes. Here, the interactions between cationic pyridylphenylene dendrimers of the first, second, and third generations with mixed or completely charged pyridyl periphery (D16+, D215+, D229+, and D350+) with cholesterol-containing (CL/Chol/DOPC) anionic liposomes were investigated by microelectrophoresis, dynamic light scattering, fluorescence spectroscopy, and conductometry. It was found that the architecture of the dendrimer, namely the generation, the amount of charged pyridynium groups, the hydrophobic phenylene units, and the rigidity of the spatial structure, determined the special features of the dendrimer–liposome interactions. The binding of D350+ and D229+ with almost fully charged peripheries to liposomes was due to electrostatic forces: the dendrimer molecules could be removed from the liposomal surfaces by NaCl addition. D350+ and D229+ did not display a disruptive effect toward membranes, did not penetrate into the hydrophobic lipid bilayer, and were able to migrate between liposomes. For D215+, a dendrimer with a mixed periphery, hydrophobic interactions of phenylene units with the hydrocarbon tails of lipids were observed, along with electrostatic complexation with liposomes. As a result, defects were formed in the bilayer, which led to irreversible interactions with lipid membranes wherein there was no migration of D215+ between liposomes. A first-generation dendrimer, D16+, which was characterized by small size, a high degree of hydrophobicity, and a rigid structure, when interacting with liposomes caused significant destruction of liposomal membranes. Evidently, this interaction was irreversible: the addition of salt did not lead to the dissociation of the complex. Full article
(This article belongs to the Special Issue Polymer Nanomaterials in Biomedicine)
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Figure 1
<p>Structures of cationic pyridylphenylene dendrimers. Dendrimers have different hydrophobicity depending on the amount of charged pyridine groups. D<sub>3</sub><sup>50+</sup> is a third-generation dendrimer with a completely charged periphery, D<sub>2</sub><sup>29+</sup> and D<sub>2</sub><sup>15+</sup> are second-generation dendrimers characterized by completely charged (for D<sub>2</sub><sup>29+</sup>) and mixed (for D<sub>2</sub><sup>15+</sup>) periphery. A first-generation dendrimer with a mixed periphery, D<sub>1</sub><sup>6+</sup>, is characterized by small size and a high degree of hydrophobicity.</p>
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<p>EPMs of the dendrimer–liposome complexes versus ratios of ionic groups [+]/[−] for D<sub>3</sub><sup>50+</sup> (1), D<sub>2</sub><sup>29+</sup> (2), D<sub>2</sub><sup>15+</sup> (3), and D<sub>1</sub><sup>6+</sup> (4), where [+] is the molar concentration of the pyridinium groups of dendrimers, and [−] is the molar concentration of negatively charged cardiolipin headgroups. CL/Chol/DOPC liposomes, [CL] = 1.5 × 10<sup>−4</sup> mol/L, total lipid concentration of 1 mg/mL. 10<sup>−3</sup> M phosphate buffer, pH 7.2.</p>
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<p>Hydrodynamic diameters of dendrimer–liposome complexes versus ratios of ionic groups [+]/[−] for D<sub>3</sub><sup>50+</sup> (1), D<sub>2</sub><sup>29+</sup> (2), D<sub>2</sub><sup>15+</sup> (3), and D<sub>1</sub><sup>6+</sup> (4), where [+] is the molar concentration of the pyridinium groups of dendrimers, and [−] is the molar concentration of negatively charged cardiolipin headgroups. CL/Chol/DOPC liposomes, [CL] = 1.5 × 10<sup>−4</sup> mol/L, total lipid concentration of 1 mg/mL. 10<sup>−3</sup> M phosphate buffer, pH 7.2.</p>
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<p>Dependence of concentration of unbound dendrimers on ratio of ionic groups [+]/[−] for D<sub>3</sub><sup>50+</sup> (1), D<sub>2</sub><sup>29+</sup> (2), D<sub>2</sub><sup>15+</sup> (3), and D<sub>1</sub><sup>6+</sup> (4), where [+] is the molar concentration of the pyridinium groups of dendrimers, and [−] is the molar concentration of negatively charged cardiolipin headgroups. CL/Chol/DOPC liposomes, [CL] = 1.5 × 10<sup>−4</sup> mol/L, total lipid concentration of 1 mg/mL. 10<sup>−3</sup> M phosphate buffer, pH 7.2.</p>
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<p>Time-dependent changes in relative conductivity of dendrimer–NaCl-loaded liposome complexes for D<sub>3</sub><sup>50+</sup> (1), D<sub>2</sub><sup>29+</sup> (2), D<sub>2</sub><sup>15+</sup> (3), and D<sub>1</sub><sup>6+</sup> (4). The ratio of the ionic groups was [+]/[−] = 2. CL/Chol/DOPC liposomes, [CL] = 1.5 × 10<sup>−4</sup> mol/L, total lipid concentration of 1 mg/mL. 10<sup>−3</sup> M phosphate buffer, pH 7.2.</p>
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<p>Schematic representation of interactions of liposomes with dendrimers. D<sub>3</sub><sup>50+</sup> and D<sub>2</sub><sup>29+</sup> did not display a disruptive effect toward the liposomes, while the complexation of liposomes with D<sub>2</sub><sup>29+</sup> was followed by minor defect formation. D<sub>1</sub><sup>6+</sup> induced significant destruction of liposomal membranes.</p>
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<p>Relative fluorescence intensity of label (DOPE-CF) in dendrimer–liposome complexes as a function of ratios of ionic groups [+]/[−] for D<sub>3</sub><sup>50+</sup> (1, 5), D<sub>2</sub><sup>29+</sup> (2, 6), D<sub>2</sub><sup>15+</sup> (3, 7), and D<sub>1</sub><sup>6+</sup> (4, 8) before (1–4) and after (5–8) NaCl addition. [NaCl] = 0.4 mol/L. CL/Chol/DOPC liposomes, [CL] = 1.5 × 10<sup>−4</sup> mol/L, total lipid concentration of 1 mg/mL. 10<sup>−3</sup> M phosphate buffer, pH 7.2.</p>
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<p>Diagrams of distribution of dendrimers between labeled (Lip*) and unlabeled (Lip) liposomes in 1.5 h for D<sub>3</sub><sup>50+</sup> (<b>a</b>), D<sub>2</sub><sup>29+</sup> (<b>b</b>), and D<sub>2</sub><sup>15+</sup> (<b>c</b>). The ratios of the ionic groups were [+]/[−] = 0.5 (1) and 1 (2). CL/Chol/DOPC liposomes, [CL] = 1.5 × 10<sup>−4</sup> mol/L, total lipid concentration of 1 mg/mL. 10<sup>−3</sup> M phosphate buffer, pH 7.2.</p>
Full article ">Figure 9
<p>Schematic representation of the migration experiment for D<sub>3</sub><sup>50+</sup> and D<sub>2</sub><sup>29+</sup> (<b>a</b>), as well as for D<sub>2</sub><sup>15+</sup> (<b>b</b>). D<sub>3</sub><sup>50+</sup> and D<sub>2</sub><sup>29+</sup> were able to migrate between liposomes since the binding was due to electrostatic forces (<b>a</b>). For D<sub>2</sub><sup>15+</sup>, hydrophobic interactions were observed, along with electrostatic complexation; as a result, defects were formed in the membrane that led to irreversible interactions with no migration of D<sub>2</sub><sup>15+</sup> between liposomes (<b>b</b>). The dendrimer molecules are indicated as circles, and the fluorescent labels are indicated as green stars.</p>
Full article ">
9 pages, 2257 KiB  
Article
Hybrid Passivated Red Organic LEDs with Prolonged Operation and Storage Lifetime
by Dan-Dan Feng, Shuang-Qiao Sun, Wei He, Jun Wang, Xiao-Bo Shi and Man-Keung Fung
Molecules 2022, 27(9), 2607; https://doi.org/10.3390/molecules27092607 - 19 Apr 2022
Cited by 2 | Viewed by 1899
Abstract
In addition to mobile and TV displays, there is a trend of organic LEDs being applied in niche markets, such as microdisplays, automobile taillights, and photobiomodulation therapy. These applications mostly do not require to be flexible in form but need to have long [...] Read more.
In addition to mobile and TV displays, there is a trend of organic LEDs being applied in niche markets, such as microdisplays, automobile taillights, and photobiomodulation therapy. These applications mostly do not require to be flexible in form but need to have long operation lifetimes and storage lifespans. Using traditional glass encapsulation may not be able to fulfill the rigorous product specification, and a hybrid encapsulation method by combining glass and thin-film encapsulation will be the solution. Conventional thin-film encapsulation technology generally involves organic and inorganic multilayer films that are thick and have considerable stress. As a result, when subjected to extreme heat and stress, the film easily peels off. Herein, the water vapor transmission rate (WVTR) of a 2 µm silicon nitride film prepared at 85 °C is less than 5 × 10−5 g/m2/day and its stress is optimized to be 23 MPa. Red organic LEDs are passivated with the hybrid encapsulation, and the T95 lifetime reaches nearly 10 years if the LED is continuously driven at an initial luminance of 1000 cd/m2. In addition, a storage lifespan of over 17 years is achieved. Full article
(This article belongs to the Special Issue Organic Light-Emitting Diodes 3.0)
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Figure 1
<p>(<b>a</b>) Residual stress of 2-μm-thick Si<sub>x</sub>N<sub>y</sub> at different deposition temperatures, (<b>b</b>) WVTR and (<b>c</b>) residual stress of the Si<sub>x</sub>N<sub>y</sub> prepared at 85 °C with different deposition thicknesses, and (<b>d</b>) residual stress of Al with different deposition thicknesses.</p>
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<p>(<b>a</b>) Device structure in the present study and (<b>b</b>) a photograph showing Devices R3 subjected to water immersion for 48 h and continuously driving at 6 V.</p>
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<p>Device performance of devices R1–R4. (<b>a</b>) Current efficiency–current density, (<b>b</b>) luminance–current density, (<b>c</b>) external quantum efficiency–current density, and (<b>d</b>) EL spectra under a current density of 1 mA/cm<sup>2</sup>.</p>
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<p>Operation lifetime of devices R1–R4 and <span class="html-italic">T<sub>95</sub></span> at the current density of 50 mA/cm<sup>2</sup>.</p>
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17 pages, 4265 KiB  
Article
Electrical and Optical Characterization of CsPbCl3 Films around the High-Temperature Phase Transitions
by Mara Bruzzi, Matteo Latino, Naomi Falsini, Nicola Calisi and Anna Vinattieri
Nanomaterials 2022, 12(3), 570; https://doi.org/10.3390/nano12030570 - 7 Feb 2022
Cited by 7 | Viewed by 2362
Abstract
Large-area CsPbCl3 films in the range 0.1–1.5 μm have been grown by radio frequency (RF)-magnetron sputtering on glass substrates by means of a one-step procedure. Three structural phase transitions have been detected, which are associated with hysteresis behavior in the electrical current [...] Read more.
Large-area CsPbCl3 films in the range 0.1–1.5 μm have been grown by radio frequency (RF)-magnetron sputtering on glass substrates by means of a one-step procedure. Three structural phase transitions have been detected, which are associated with hysteresis behavior in the electrical current when measured as a function of temperature in the range 295–330 K. Similarly, photoluminescence (PL) experiments in the same temperature range bring evidence of a non-monotonic shift of the PL peak. Detailed electrical characterizations evidenced how phase transitions are not influencing detrimentally the electrical transport properties of the films. In particular, the activation energy (0.6–0.8 eV) extracted from the temperature-dependent film resistivity does not appear to be correlated with phase changes. A non-linear trend of the photoconductivity response as a function of a ultra violet (UV) 365 nm light emitting diode (LED) power has been interpreted considering the presence of an exponential tail of intragap defects. Thermally stimulated currents after exposure with the same LED measured from room temperature up to 370 K showed no evidence of trapping effects due to intragap states on the electrical transport properties at room temperature of the films. As a consequence, measured photocurrents at room temperature appear to be well reproducible and stable in time, which are attractive features for possible future applications in photodetection. Full article
(This article belongs to the Special Issue Optoelectronic Properties and Applications of Nanomaterials)
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Figure 1
<p>(<b>a</b>) Current as a function of time measured with a 200 nm-thick sample at room temperature by applying different external voltages in a cycle from 10 to 500 V, then back down to −500 V and finally to −10 V. (<b>b</b>) I–V characteristics obtained from (<b>a</b>) by averaging the current measured as a function of time on a time window from 20 to 250 s.</p>
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<p>The function <math display="inline"><semantics> <mrow> <mi>f</mi> <mo>=</mo> <mfrac> <mrow> <mi>l</mi> <mi>n</mi> <mo> </mo> <mn>2</mn> <mo> </mo> </mrow> <mrow> <mn>2</mn> <mi>π</mi> <mi>R</mi> </mrow> </mfrac> </mrow> </semantics></math> with R electrical resistance of the film, is plotted as a function of the film thickness t to determine the electrical conductivity and to test the homogeneity of the semiconductor material produced with different deposition times with the same growth parameters. Inset shows the logarithmic plot to evidence that the linear behavior holds on several decades. Electrode geometry is also sketched at bottom right.</p>
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<p>Photocurrent response of the 1.5 μm thick CsPbCl<sub>3</sub> film with 400 V external voltage applied under illumination with 365 nm LED power 16.5 mW.</p>
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<p>Photocurrent <span class="html-italic">I</span> measured with a bias Vb = 800 V at room temperature (T = 296 K) as a function of the UV LED optical power P plotted as a function of the power P in: (<b>a</b>) linear and (<b>b</b>) log–log plots. Best-fit to data evidence a power function: <math display="inline"><semantics> <mrow> <mi>I</mi> <mrow> <mo>(</mo> <mi>P</mi> <mo>)</mo> </mrow> <mo>∝</mo> <msup> <mi>P</mi> <mi>γ</mi> </msup> </mrow> </semantics></math> with γ ≈0.6.</p>
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<p>(<b>a</b>) Transmittance spectrum at room temperature. (<b>b</b>) Typical PL spectrum at room temperature. In the inset, the same spectrum is shown in log scale.</p>
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<p>(<b>a</b>) PL spectra in the temperature range 298–329 K, (<b>b</b>) normalized PL spectra at the extreme of the explored temperature interval, (<b>c</b>) red shift of the PL peak as measured by power-dependent PL spectra at 300 K and temperature-dependent PL spectra with an excitation power of 1 mW.</p>
Full article ">Figure 7
<p>A 1.5 μm thick CsPbCl<sub>3</sub> film (<b>a</b>) Current–temperature at 800 V in the temperature range 295–325 K. (<b>b</b>) Dependence of the temperature of the film with time. In both measurements, the change of temperature with a constant rate 0.02 K/s is driven by a temperature sensor close to (but not directly on) the CsPbCl<sub>3</sub> film. (<b>c</b>) Temperature measured by a sensor placed on the CsPbCl<sub>3</sub> film as a function of the temperature measured by the temperature sensor on the sample holder.</p>
Full article ">Figure 7 Cont.
<p>A 1.5 μm thick CsPbCl<sub>3</sub> film (<b>a</b>) Current–temperature at 800 V in the temperature range 295–325 K. (<b>b</b>) Dependence of the temperature of the film with time. In both measurements, the change of temperature with a constant rate 0.02 K/s is driven by a temperature sensor close to (but not directly on) the CsPbCl<sub>3</sub> film. (<b>c</b>) Temperature measured by a sensor placed on the CsPbCl<sub>3</sub> film as a function of the temperature measured by the temperature sensor on the sample holder.</p>
Full article ">Figure 8
<p>(<b>a</b>) The logarithm of the current plotted as a function of 1/KT when a fixed bias Vb = 800 V is applied across electrodes. The best-fit to data is exponential with negative slope, showing that the current is thermally activated, and no hysteresis is observed during the cycle. (<b>b</b>) Activation energy plotted as a function of the UV LED illumination power and linear best-fit.</p>
Full article ">Figure 8 Cont.
<p>(<b>a</b>) The logarithm of the current plotted as a function of 1/KT when a fixed bias Vb = 800 V is applied across electrodes. The best-fit to data is exponential with negative slope, showing that the current is thermally activated, and no hysteresis is observed during the cycle. (<b>b</b>) Activation energy plotted as a function of the UV LED illumination power and linear best-fit.</p>
Full article ">Figure 9
<p>(<b>a</b>) Thermally stimulated currents measured after illumination with the 365 nm LED at room temperature, carried out in the range above the phase transitions, from 320 to 373 K, with constant rate 0.1 K/s and 500 V bias voltage. (<b>b</b>) Activation energy of the TSC curves plotted as a function of the applied bias.</p>
Full article ">Figure 9 Cont.
<p>(<b>a</b>) Thermally stimulated currents measured after illumination with the 365 nm LED at room temperature, carried out in the range above the phase transitions, from 320 to 373 K, with constant rate 0.1 K/s and 500 V bias voltage. (<b>b</b>) Activation energy of the TSC curves plotted as a function of the applied bias.</p>
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<p>Band diagram showing that the intragap DoS has an exponential tail of defects below the conduction band edge <span class="html-italic">E<sub>C</sub></span>: the quasi-fermi level <span class="html-italic">E<sub>Fn</sub></span> is within the exponential trap distribution. The recombination center with capture coefficient <span class="html-italic">c<sub>n</sub></span> is characterized by a deeper energy level at <span class="html-italic">E<sub>RC</sub></span>.</p>
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<p>(<b>a</b>) Absorption curves as extracted from the PL spectra of <a href="#nanomaterials-12-00570-f006" class="html-fig">Figure 6</a>a for three temperatures. (<b>b</b>) Urbach energy E<sub>U</sub> as a function of temperature as evaluated from the absorption curves.</p>
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<p>Barrier lowering due to the Poole–Frenkel effect of the energy of the trap associated to the initial rise plots of the TSC measured at different bias, plotted as a function of the square root of the applied bias.</p>
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15 pages, 14582 KiB  
Article
Loss of Wnt16 Leads to Skeletal Deformities and Downregulation of Bone Developmental Pathway in Zebrafish
by Xiaochao Qu, Mei Liao, Weiwei Liu, Yisheng Cai, Qiaorong Yi, Jianmei Long, Lijun Tan, Yun Deng, Hongwen Deng and Xiangding Chen
Int. J. Mol. Sci. 2021, 22(13), 6673; https://doi.org/10.3390/ijms22136673 - 22 Jun 2021
Cited by 11 | Viewed by 3229
Abstract
Wingless-type MMTV integration site family, member 16 (wnt16), is a wnt ligand that participates in the regulation of vertebrate skeletal development. Studies have shown that wnt16 can regulate bone metabolism, but its molecular mechanism remains largely undefined. We obtained the wnt16 [...] Read more.
Wingless-type MMTV integration site family, member 16 (wnt16), is a wnt ligand that participates in the regulation of vertebrate skeletal development. Studies have shown that wnt16 can regulate bone metabolism, but its molecular mechanism remains largely undefined. We obtained the wnt16−/− zebrafish model using the CRISPR-Cas9-mediated gene knockout screen with 11 bp deletion in wnt16, which led to the premature termination of amino acid translation and significantly reduced wnt16 expression, thus obtaining the wnt16−/− zebrafish model. The expression of wnt16 in bone-related parts was detected via in situ hybridization. The head, spine, and tail exhibited significant deformities, and the bone mineral density and trabecular bone decreased in wnt16−/− using light microscopy and micro-CT analysis. RNA sequencing was performed to explore the differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis found that the down-regulated DEGs are mainly concentrated in mTOR, FoxO, and VEGF pathways. Protein–protein interaction (PPI) network analysis was performed with the detected DEGs. Eight down-regulated DEGs including akt1, bnip4, ptena, vegfaa, twsg1b, prkab1a, prkab1b, and pla2g4f.2 were validated by qRT-PCR and the results were consistent with the RNA-seq data. Overall, our work provides key insights into the influence of wnt16 gene on skeletal development. Full article
(This article belongs to the Special Issue Osteoporosis)
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<p>Generation of <span class="html-italic">wnt16</span> mutant zebrafish with the CRISPR/Cas9 system. (<b>A</b>) Schematic diagram of the target site in the zebrafish <span class="html-italic">wnt16</span> genome. (<b>B</b>) Sequence alignment between wildtype (WT) and <span class="html-italic">wnt16<sup>−/−</sup></span> mutant. (<b>C</b>) Sequencing maps of WT and <span class="html-italic">wnt16<sup>−/−</sup></span> zebrafish. Black frames: sequences of the target site. Red frames: TCGAG and GCTGCC in WT. Note the 11 bp (TCGAG and GCTGCC) deletion in <span class="html-italic">wnt16<sup>−/−</sup></span>.</p>
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<p>Structure prediction of <span class="html-italic">wnt16</span> protein and qRT-PCR verification. (<b>A</b>,<b>B</b>) Secondary structure prediction in WT and <span class="html-italic">wnt16<sup>−/−</sup></span> zebrafish (purple cylinder indicates alpha helix, yellow arrow indicates beta strand, silver wavy line indicates coil, and blue turning arrow indicates turn). (<b>C</b>,<b>D</b>) Tertiary structure prediction in WT and <span class="html-italic">wnt16<sup>−/−</sup></span> zebrafish. (<b>E</b>) qRT-PCR analysis of 2dpf WT and <span class="html-italic">wnt16<sup>−/−</sup></span> larvae, showing a statistically significant decrease of <span class="html-italic">wnt16</span> expression in <span class="html-italic">wnt16<sup>−/−</sup></span> zebrafish. The results are represented as means  ±  SEM, **** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Images of zebrafish generated by WISH, light microscopy, and micro-CT and skeletal statistical analysis. (<b>A</b>) Images of whole-mount in situ hybridisation with <span class="html-italic">wnt16</span> mRNA probes in WT larvae at 48 hpf. Colour intensity is proportional to the expression level of <span class="html-italic">wnt16</span> gene. Arrowheads indicate relevant domains of expression. Yellow, pectoral fin bud (pfb); red, operculum (op). (<b>B</b>) Representatives of adult WT and <span class="html-italic">wnt16<sup>−/−</sup></span> mutant zebrafish are shown. Apparent abnormality was observed in the head and tail of <span class="html-italic">wnt16<sup>−/−</sup></span> mutant zebrafish. (<b>C</b>) Micro-CT scanning of WT and <span class="html-italic">wnt16<sup>−/−</sup></span> mutant zebrafish skeleton. Obvious abnormality was observed in the mandible and spine of <span class="html-italic">wnt16<sup>−/−</sup></span> mutant zebrafish. (<b>D</b>,<b>E</b>) Statistical analysis of BMD (<b>D</b>) and Tb.N (<b>E</b>) in WT and <span class="html-italic">wnt16<sup>−/−</sup></span> zebrafish. Note that BMD and Tb.N value decreased in the <span class="html-italic">wnt16<sup>−/−</sup></span> group. The results are represented as means  ±  SEM, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. Scale bar: 150 μm (<b>A</b>); 2 mm (<b>B</b>); 6 mm (<b>C</b>).</p>
Full article ">Figure 4
<p>Clustering of differentially expressed genes (DEGs). (<b>A</b>) The volcano graph was performed to show DEGs in the yolk-cell period. The red part indicates up-regulated genes and the green part indicates down-regulated genes. (<b>B</b>) The overall distribution of DEGs between the WT group and <span class="html-italic">wnt16<sup>−/−</sup></span> group in the yolk-cell period. Red and green represent up-regulated and down-regulated changes, respectively, in the clustering analysis. The color intensity is directly proportional to the change. (<b>C</b>) Venn diagram of the co-expressed differential genes of three groups.</p>
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<p>Gene ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway analysis of co-expression down-regulated DEGs. (<b>A</b>) GO analysis of co-expression down-regulated genes; bar plot shows the top ten enrichment score (−log10 (<span class="html-italic">p</span>-value)) of DEGs involving biological process, cellular component, and molecular function. (<b>B</b>) The significant changes in the KEGG pathway of co-expressed down-regulated genes. The bubble graph shows the enrichment score (−log10 (<span class="html-italic">p</span>-value)) of the significant pathway. The size of the circle represents the number of enriched DEGs. <span class="html-italic">p</span>-value was represented by a color scale, and the statistical significance increased from blue (relatively lower significance) to red (relatively higher significance). (<b>C</b>) Protein–protein interaction network of these fifteen DEGs and <span class="html-italic">wnt16</span>. Nodes represent genes, lines represent the interaction of proteins with genes, and the results within the nodes represent the structure of proteins. Line color represents evidence of the interaction between the proteins.</p>
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<p>Validation of RNA-Seq data by qRT-PCR. Eight significantly down-regulated DEGs highlighted in GO enrichment and KEGG signaling pathway related to skeletal development. All the selected DEGs showed the same expression pattern in both RNA-Seq and qRT-PCR analysis. The results are represented as means ±  SEM, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.002, **** <span class="html-italic">p</span> &lt; 0.001.</p>
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20 pages, 5619 KiB  
Article
Melatonin-Induced Cytoskeleton Reorganization Leads to Inhibition of Melanoma Cancer Cell Proliferation
by Alejandro Alvarez-Artime, Rafael Cernuda-Cernuda, Francisco-Artime-Naveda, Vanesa Cepas, Pedro Gonzalez-Menendez, Sheila Fernadez-Vega, Isabel Quiros-Gonzalez, Rosa M. Sainz and Juan C. Mayo
Int. J. Mol. Sci. 2020, 21(2), 548; https://doi.org/10.3390/ijms21020548 - 15 Jan 2020
Cited by 39 | Viewed by 5220
Abstract
Neuroindole melatonin, a hormone synthesized during the night mainly—but not exclusively—by the pineal gland of all vertebrates, functions as an adapting signal to the light-dark cycle. Its antioxidant, neuroprotective, anti-inflammatory, and antitumor properties are all well-known and widely reported. Melanoma is one of [...] Read more.
Neuroindole melatonin, a hormone synthesized during the night mainly—but not exclusively—by the pineal gland of all vertebrates, functions as an adapting signal to the light-dark cycle. Its antioxidant, neuroprotective, anti-inflammatory, and antitumor properties are all well-known and widely reported. Melanoma is one of the most common carcinomas among developed countries and a type of tumor particularly difficult to fight back in medium/advanced stages. In contrast to other types of cancer, influence of melatonin on melanoma has been scarcely investigated. Thus, we have chosen the murine melanoma model B16-F10 cell line to study antiproliferative and antitumoral actions of melatonin. For this purpose, we combined both, cell culture and in vivo models. Melatonin reduced either, growth rate or migration of B16-F10 cells. Furthermore, melanin synthesis was altered by melatonin, promoting its synthesis. Melatonin also induced a G2/M cell cycle arrest and altered the cytoskeletal organization. To corroborate these results, we tested the effect of melatonin in the in vivo model of B16-F10 cell injection in the tail vein, which causes numerous lung metastases. Two different strategies of melatonin administration were used, namely, in drinking water, or daily intraperitoneal injection. However, contrary to what occurred in cell culture, no differences were observed between control and melatonin treated groups. Results obtained led us to conclude that melatonin exerts an antiproliferative and anti-migrating effect on this melanoma model by interfering with the cytoskeleton organization, but this pharmacological effect cannot be translated in vivo as the indole did not prevent metastasis in the murine model, suggesting that further insights into the effects of the indole in melanoma cells should be approached to understand this apparent paradox. Full article
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Graphical abstract
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<p>Antiproliferative effect of Melatonin in B16-F10 melanoma cells. (<b>A</b>) MTT cell viability assay. Cells were seeded in 96 Wells plate at the indicated concentrations, after 72 h MTT reduction levels were assessed. (<b>B</b>) B16-F10 micrographs from control or melatonin-incubated cells were taken at a final magnification of 100× and 200×. (<b>C</b>) Average cell number after 24, 48, and 72 h of treatment with 0.1 mM of melatonin. (<b>D</b>) Average cell number after 72 h of treatment with different concentrations of melatonin. (<b>E</b>) Average cell number after 24 h of treatment with 1mM of Melatonin and withdraw treatment other 24 h. (<b>F</b>) Cell culture doubling time of every experimental group after treatment with melatonin during 72 h. Data were shown as average +/− SEM. Significance vs. CON. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Morphological changes of B16-F10 cells after 24 h of treatment with melatonin. (<b>A</b>) 3D reconstruction of cell culture based on F-Actin distribution. Red areas represent the surface occupied by F-Actin (<b>B</b>) Average cell volume based on F-Actin distribution. (<b>C</b>) Average cell surface based on F-Actin distribution and α-tubulin. Data were shown as average +/− SEM. Significance vs. CON. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Cell cycle arrest induced by melatonin. (<b>A</b>) B16-F10 cells distribution around cell cycle after treatment with different concentrations of melatonin. (<b>B</b>) Analysis of proteins involved in G2/M checkpoint. (<b>C</b>) Percentage of mitosis per cell number in control and treatment group. Blue dots represent nuclear staining of DNA with DAPI. Significance vs. CON. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001. Significance vs. MEL 0.1. # <span class="html-italic">p</span> &lt; 0.05. Image Scale bar = 100 µm.</p>
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<p>Cytoskeleton arrangement of B16-F10 cells treated with melatonin. (<b>A</b>) Fluorescence images of α-tubulin and β-actin location in control and treated cells. (<b>B</b>) Western blot and qPCR analysis of protein and mRNA levels of α-tubulin and β-actin. (<b>C</b>) Fluorescence images of G and F actin in control and treated cells. (<b>D</b>) Quantification of ratio between F and G actin and fluorescence level of both proteins. Significance vs. β-Actin CON. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. Significance vs. α-Tubulin CON. # <span class="html-italic">p</span> &lt; 0.05, ## <span class="html-italic">p</span> &lt; 0.01. Significance vs. G-Actin CON. *** <span class="html-italic">p</span> &lt; 0.001. Significance vs. F-Actin CON. ### <span class="html-italic">p</span> &lt; 0.001. Image Scale bar = 100 µm.</p>
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<p>B16-F10 cell migration after incubation with different concentrations of melatonin. (<b>A</b>) Wound healing assay of each experimental group, images were taken at a magnification of 40. (<b>B</b>) Wound healing average size of each experimental group. Data were shown as average +/− SEM. Significance vs. CON 24h. ^ <span class="html-italic">p</span> &lt; 0.05, significance vs. Mel 0.5 24h. # <span class="html-italic">p</span> &lt; 0.05, significance vs. Mel 0.1 24 h. ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Melanin localization and quantification in B16-F10 cells. (<b>A</b>) Phase-contrast micrographs of intracellular melanin depots (left) and the corresponding merge with α-tubulin and β-actin distribution (right). Micrographs were both taken at a final magnification of 200×. (<b>B</b>) Quantification of total intracellular melanin after treatment with different concentrations of Melatonin. Data were shown as average +/− SEM. Significance vs. CON. *** <span class="html-italic">p</span> &lt; 0.001</p>
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<p>Study of redox proteins included in hydrogen peroxide production and scavenging after melatonin treatment. (<b>A</b>) SOD2 total protein production. (<b>B</b>) TRX-1 total protein production. (<b>C</b>) Catalase total protein production (<b>D</b>) Catalase activity gel. Data were shown as average +/− SEM. Significance vs. CON. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>In vivo model for B16-10 lung metastasis treated with IP melatonin. (<b>A</b>) Bioluminiscence localization and size of total lung metastases. (<b>B</b>) Macroscopic images of lung metastases and image isolation process. (<b>C</b>) Microscopic scanning of lung sections and detection of metastatic tissue. (<b>D</b>) Percentage of metastases Surface per total lung surface. Data were shown as average +/− SEM. ND: not detectable.</p>
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36 pages, 15288 KiB  
Article
Visible Light Communication System Based on Software Defined Radio: Performance Study of Intelligent Transportation and Indoor Applications
by Radek Martinek, Lukas Danys and Rene Jaros
Electronics 2019, 8(4), 433; https://doi.org/10.3390/electronics8040433 - 15 Apr 2019
Cited by 41 | Viewed by 7387
Abstract
In this paper, our first attempt at visible light communication system, based on software defined radio (SDR) and implemented in LabVIEW is introduced. This paper mainly focuses on two most commonly used types of LED lights, ceiling lights and LED car lamps/tail-lights. The [...] Read more.
In this paper, our first attempt at visible light communication system, based on software defined radio (SDR) and implemented in LabVIEW is introduced. This paper mainly focuses on two most commonly used types of LED lights, ceiling lights and LED car lamps/tail-lights. The primary focus of this study is to determine the basic parameters of real implementation of visible light communication (VLC) system, such as transmit speed, communication errors (bit-error ratio, error vector magnitude, energy per bit to noise power spectral density ratio) and highest reachable distance. This work focuses on testing various multistate quadrature amplitude modulation (M-QAM). We have used Skoda Octavia III tail-light and Phillips indoor ceiling light as transmitters and SI PIN Thorlabs photodetector as receiver. Testing method for each light was different. When testing ceiling light, we have focused on reachable distance for each M-QAM variant. On the other side, Octavia tail-light was tested in variable nature conditions (such as thermal turbulence, rain, fog) simulated in special testing box. This work will present our solution, measured parameters and possible weak spots, which will be adjusted in the future. Full article
(This article belongs to the Special Issue Visible Light Communication and Positioning)
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<p>Vehicle-to-everything scenarios communication.</p>
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<p>Indoor VLC scenarios.</p>
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<p>Error vector magnitude.</p>
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<p>Ceiling light setup.</p>
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<p>Setup with measured distance.</p>
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<p>Attenuation characteristics of ceiling setup.</p>
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<p>Transmit speed/distance from center relationship for ceiling light with different M-QAM and bandwidths.</p>
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<p>4-QAM constellation diagrams of ceiling light and different bandwidths: (<b>a</b>) 4-QAM, BW = 1 MHz, (<b>b</b>) 4-QAM, BW = 2 MHz, (<b>c</b>) 4-QAM, BW = 3 MHz, (<b>d</b>) 4-QAM, BW = 4 MHz.</p>
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<p>BER/distance from center relationship for ceiling light with different M-QAM and bandwidths.</p>
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<p>E<math display="inline"><semantics> <msub> <mrow/> <mi mathvariant="normal">b</mi> </msub> </semantics></math>/N<math display="inline"><semantics> <msub> <mrow/> <mn>0</mn> </msub> </semantics></math> / distance from center relationship for ceiling light with different M-QAM and bandwidths.</p>
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<p>EVM/distance from center relationship for ceiling light with different M-QAM and bandwidths.</p>
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<p>Octavia tail-light setup.</p>
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<p>Attenuation characteristics of the Octavia tail-light.</p>
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<p>Octavia taillight setup adjusted for scenario 1—empty box.</p>
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<p>BER/distance relationship for Octavia tail-light with different M-QAM and bandwidths—scenario 1—empty box.</p>
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<p>E<math display="inline"><semantics> <msub> <mrow/> <mi mathvariant="normal">b</mi> </msub> </semantics></math>/N<math display="inline"><semantics> <msub> <mrow/> <mn>0</mn> </msub> </semantics></math> / distance relationship for Octavia tail-light with different M-QAM and bandwidths—in scenario 1—empty box.</p>
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<p>EVM/distance relationship for Octavia tail-light with different M-QAM and bandwidths—in scenario 1—empty box.</p>
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<p>Octavia tail-light setup adjusted for scenario 2-thermal turbulence.</p>
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<p>BER/distance relationship for Octavia tail-light with different M-QAM and bandwidths—scenario 2—thermal turbulence.</p>
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<p>E<math display="inline"><semantics> <msub> <mrow/> <mi mathvariant="normal">b</mi> </msub> </semantics></math>/N<math display="inline"><semantics> <msub> <mrow/> <mn>0</mn> </msub> </semantics></math>/distance relationship for Octavia tail-light with different M-QAM and bandwidths—scenario 2—thermal turbulence.</p>
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<p>EVM/distance relationship for Octavia tail-light with different M-QAM and bandwidths—scenario 2—thermal turbulence.</p>
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<p>Octavia tail-light setup adjusted for scenario 3—Rain 42 L/min.</p>
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<p>Photo of setup for scenario 3 and 4—rain.</p>
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<p>BER/distance relationship for Octavia tail-light with different M-QAM and bandwidths—scenario 3—Rain 42 L/min.</p>
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<p>E<math display="inline"><semantics> <msub> <mrow/> <mi mathvariant="normal">b</mi> </msub> </semantics></math>/N<math display="inline"><semantics> <msub> <mrow/> <mn>0</mn> </msub> </semantics></math> / distance relationship for Octavia tail-light with different M-QAM and bandwidths—scenario 3—Rain 42 L/min.</p>
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<p>EVM/distance relationship for Octavia tail-light with different M-QAM and bandwidths—scenario 3—Rain 42 L/min.</p>
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<p>Attenuation characteristics of Octavia tail-light for scenario 3—Rain 42 L/min—comparison of intended setup and adjusted setup without partition.</p>
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<p>Octavia tail-light setup adjusted for scenario 4-Rain 22 L/min.</p>
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<p>BER/distance relationship for Octavia tail-light with different M-QAM and bandwidths—scenario 4-Rain 22 L/min.</p>
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<p>E<math display="inline"><semantics> <msub> <mrow/> <mi mathvariant="normal">b</mi> </msub> </semantics></math>/N<math display="inline"><semantics> <msub> <mrow/> <mn>0</mn> </msub> </semantics></math> / distance relationship for Octavia tail-light with different M-QAM and bandwidths—scenario 4—Rain 22 L/min.</p>
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<p>EVM/distance relationship for Octavia tail-light with different M-QAM and bandwidths—scenario 4—Rain 22 L/min.</p>
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<p>Attenuation characteristics of Octavia tail-light for scenario 4-Rain 22 L/min—comparison of intended setup and adjusted setup without partition.</p>
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<p>Octavia tail-light setup adjusted for scenario 5–fog.</p>
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<p>Photo of setup for scenario 5-fog.</p>
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<p>Fog dissipation with laser power levels and modulations with appropriate BER values.</p>
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<p>BER/distance relationship for Octavia tail-light with different M-QAM and bandwidths—in scenario 5—fog.</p>
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<p>E<math display="inline"><semantics> <msub> <mrow/> <mi mathvariant="normal">b</mi> </msub> </semantics></math>/N<math display="inline"><semantics> <msub> <mrow/> <mn>0</mn> </msub> </semantics></math> / distance relationship for Octavia tail-light with different M-QAM and bandwidths—in scenario 5—fog.</p>
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<p>EVM/distance relationship for Octavia tail-light with different M-QAM and bandwidths—scenario 5—fog.</p>
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<p>Attenuation characteristics of Octavia tail-light during fog dissipation –in scenario 5 - fog.</p>
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<p>BroadbandLIGHT testing polygon implementation and management center.</p>
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17 pages, 818 KiB  
Article
Heterogeneous Causal Relationships between Spot and Futures Oil Prices: Evidence from Quantile Causality Analysis
by Xianfang Su, Huiming Zhu and Xinxia Yang
Sustainability 2019, 11(5), 1359; https://doi.org/10.3390/su11051359 - 5 Mar 2019
Cited by 6 | Viewed by 2891
Abstract
The causal relationships between spot and futures crude oil prices have attracted the attention of many researchers in the past several decades. Most of the studies, however, do not distinguish among the various oil market situations in analyses of linear and nonlinear causalities. [...] Read more.
The causal relationships between spot and futures crude oil prices have attracted the attention of many researchers in the past several decades. Most of the studies, however, do not distinguish among the various oil market situations in analyses of linear and nonlinear causalities. In light of the fact that a booming or depressing oil market produces heterogeneous investment behaviors, this study applied a quantile causality framework to capture different causalities across various quantile levels and found that the causal relationships between crude oil spot and futures prices significantly derive from tail quantile intervals and appear as heterogeneous effects. Before the Iraq War, crude oil spot and futures prices were mutually Granger-caused at lower quantile levels, and only futures prices led spot prices at upper quantile levels. Since the war, a clear bidirectional causality has existed at the upper quantile levels, but only in lower quantile levels have futures prices led spot prices. These results provide useful information to investors using crude spot or futures prices to hedge or manage downside or upside risks in their portfolios. Full article
(This article belongs to the Special Issue Application of Time Series Analyses in Business)
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<p>The West Texas Intermediate (WTI) crude oil spot prices.</p>
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<p>WTI futures prices and the differentials between spot and futures prices.</p>
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<p>WTI futures prices and the differentials between spot and futures prices.</p>
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