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12 pages, 1959 KiB  
Article
Assessing the Organ Dose in Diagnostic Imaging with Digital Tomosynthesis System Using TLD100H Dosimeters
by Giuseppe Stella, Grazia Asero, Mariajessica Nicotra, Giuliana Candiano, Rosaria Galvagno and Anna Maria Gueli
Tomography 2025, 11(3), 32; https://doi.org/10.3390/tomography11030032 - 11 Mar 2025
Abstract
Background: Digital tomosynthesis (DTS) is an advanced imaging modality that enhances diagnostic accuracy by offering three-dimensional visualization from two-dimensional projections, which is particularly beneficial in breast and lung imaging. However, this increased imaging capability raises concerns about patient exposure to ionizing radiation. Methods: [...] Read more.
Background: Digital tomosynthesis (DTS) is an advanced imaging modality that enhances diagnostic accuracy by offering three-dimensional visualization from two-dimensional projections, which is particularly beneficial in breast and lung imaging. However, this increased imaging capability raises concerns about patient exposure to ionizing radiation. Methods: This study explores the energy and angular dependence of thermoluminescent dosimeters (TLDs), specifically TLD100H, to improve the accuracy of organ dose assessment during DTS. Using a comprehensive experimental approach, organ doses were measured in both DTS and traditional RX modes. Results: The results showed lung doses of approximately 3.21 mGy for the left lung and 3.32 mGy for the right lung during DTS, aligning with the existing literature. In contrast, the RX mode yielded significantly lower lung doses of 0.33 mGy. The heart dose during DTS was measured at 2.81 mGy, corroborating findings from similar studies. Conclusions: These results reinforce the reliability of TLD100H dosimetry in assessing radiation exposure and highlight the need for optimizing imaging protocols to minimize doses. Overall, this study contributes to the ongoing dialogue on enhancing patient safety in diagnostic imaging and advocates for collaboration among medical physicists, radiologists, and technologists to establish best practices. Full article
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Figure 1
<p>In-house printed PLA (PolyLactic Acid) phantom.</p>
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<p>Positioning of the thermoluminescent dosimeters (TLDs) on the skin of the THOR phantom, indicating specific locations for lung (left and right) and heart dose measurements during both digital tomosynthesis (DTS) and traditional fixed-tube (RX) imaging modes.</p>
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<p>A glow-curve deconvolution procedure showing the luminescence contributions of TL peaks 1, 2, 3, 4, and 5.</p>
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<p>Comparison between the TL curve without pre-heating and that after pre-heating.</p>
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<p>Dose–response relationship obtained from the thermoluminescent dosimeters (TLDs) across different beam qualities in DTS procedure.</p>
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<p>Normalized dose values at a 0° angle, comparing results from both the Piranha system and the TLDs. The data, normalized to a source-to-surface distance (SSD) of 75 cm, illustrate the variation in dose delivery, with a notable 25% difference observed at an angle of 20°.</p>
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30 pages, 8086 KiB  
Article
Effect of Mechanical Interlocking Damage on Bond Durability of Ribbed and Sand-Coated GFRP Bars Embedded in Concrete Under Chloride Dry–Wet Exposure
by Zhennan Yang, Chunhua Lu, Siqi Yuan and Hao Ge
Polymers 2025, 17(6), 733; https://doi.org/10.3390/polym17060733 (registering DOI) - 11 Mar 2025
Viewed by 58
Abstract
The substitution conventional steel reinforcement with glass fiber-reinforced polymer (GFRP) bars is a widely adopted strategy used to improve the durability of concrete structures in chloride environments, offering benefits such as enhanced corrosion resistance, reduced maintenance needs, and increased service life. This study [...] Read more.
The substitution conventional steel reinforcement with glass fiber-reinforced polymer (GFRP) bars is a widely adopted strategy used to improve the durability of concrete structures in chloride environments, offering benefits such as enhanced corrosion resistance, reduced maintenance needs, and increased service life. This study investigates the bond behavior between glass fiber-reinforced polymer (GFRP) bars and concrete under long-term chloride dry–wet cycling exposure. Pull-out tests were conducted on various specimens subjected to exposure durations of 0, 3, 6, 9, and 12 months. The experimental results indicate that, after 12 months of chloride dry–wet cycling, the bond strength retention rates of threaded ribbed GFRP with a bond length of 5d, sand-coated GFRP with a bond length of 5d, and threaded ribbed GFRP with a bond length of 7d were 57.9%, 62.2%, and 63.8%, respectively. To predict the GFRP–concrete bond performance after chloride exposure, a novel bond strength model for GFRP bars embedded in concrete, considering the mechanical interlocking effect of ribs, was proposed and validated by the test results. The overall prediction errors for RG-5d, SG-5d, and RG-7d specimens were 0.98, 0.81, and 0.93, respectively. Additionally, a sensitivity analysis was conducted on the main parameters in the model. Finally, the long-term GFRP–concrete bond performance deterioration was estimated using the proposed model. These findings are expected to provide valuable insights into the long-term bond performance and service life prediction of GFRP–concrete members in chloride environments. Full article
(This article belongs to the Special Issue Polymer-Based Flexible Materials, 3rd Edition)
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<p>A flow diagram to illustrate the testing processes.</p>
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<p>Geometric details of the GFRP bars.</p>
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<p>Pull-out test specimen diagram.</p>
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<p>Automated chloride dry–wet cycle exposure device and chlorine concentration monitoring.</p>
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<p>Loading device for the uniaxial pull-out test.</p>
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<p>Typical failure patterns of tested pull-out specimens: (<b>a</b>) Failure A pattern; (<b>b</b>) Failure B pattern.</p>
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<p>Bond–slip curves of tested RG-5d and SG-5d specimens: (<b>a</b>) RG-5d-0 and SG-5d-0; (<b>b</b>) RG-5d-3 and SG-5d-3; (<b>c</b>) RG-5d-6 and SG-5d-6; (<b>d</b>) RG-5d-9 and SG-5d-9; (<b>e</b>) RG-5d-12 and SG-5d-12.</p>
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<p>Variations in peak bond strength and the corresponding slip of RG-5d and SG-5d specimens: (<b>a</b>) peak bond strength; (<b>b</b>) corresponding slip.</p>
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<p>Bond–slip curves of tested RG-5d and RG-7d specimens: (<b>a</b>) RG-5d-0 and RG-7d-0; (<b>b</b>) RG-5d-3 and RG-7d-3; (<b>c</b>) RG-5d-6 and RG-7d-6; (<b>d</b>) RG-5d-9 and RG-7d-9; (<b>e</b>) RG-5d-12 and RG-7d-12.</p>
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<p>Variations in peak bond strength and the corresponding slip of RG-5d and RG-7d specimens: (<b>a</b>) peak bond strength; (<b>b</b>) corresponding slip.</p>
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<p>Bond–slip curves of all tested specimens: (<b>a</b>) RG-5d group; (<b>b</b>) SG-5d group; (<b>c</b>) RG-7d group.</p>
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<p>Variations in peak bond strength and the corresponding slip of all tested specimens: (<b>a</b>) peak bond strength; (<b>b</b>) corresponding slip.</p>
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<p>Comparison of bond strength with concrete compressive strength in retention rate.</p>
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<p>Three stages for the ascending portion in the bond–slip curve.</p>
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<p>Schematic diagram illustrating slip generation and force generation on a single rib: (<b>a</b>) slip generation; (<b>b</b>) force generation.</p>
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<p>Force diagram of deformed GFRP bars: (<b>a</b>): Initial stage without slip; (<b>b</b>): Rib deformation after slip; (<b>c</b>) Stress distribution after slip.</p>
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<p>Damage indicator evolution for GFRP and concrete: (<b>a</b>) short-term damage evolution; (<b>b</b>) long-term damage evolution.</p>
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<p>Relationship between coefficient <math display="inline"><semantics> <mrow> <mi>k</mi> </mrow> </semantics></math> and test results.</p>
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<p>Prediction accuracy for RG-5d series specimens.</p>
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<p>Prediction accuracy for SG-5d series specimens.</p>
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<p>Prediction accuracy for RG-7d series specimens.</p>
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<p>A comparison of bond strengths and predicted results from various sources.</p>
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<p>Parametric sensitivity in the predicted bond–slip curve: (<b>a</b>) effect of <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>u</mi> </mrow> <mrow> <mi>s</mi> </mrow> </msub> </mrow> </semantics></math>; (<b>b</b>) effect of <math display="inline"><semantics> <mrow> <mi>k</mi> </mrow> </semantics></math>; (<b>c</b>) effect of <math display="inline"><semantics> <mrow> <mi>γ</mi> </mrow> </semantics></math>.</p>
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<p>The predicted bond–slip curves for RG-5d specimens. (<b>a</b>) Short-term prediction; (<b>b</b>) Long-term prediction.</p>
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23 pages, 6311 KiB  
Article
Green-Engineered Montmorillonite Clays for the Adsorption, Detoxification, and Mitigation of Aflatoxin B1 Toxicity
by Johnson O. Oladele, Xenophon Xenophontos, Gustavo M. Elizondo, Yash Daasari, Meichen Wang, Phanourios Tamamis, Natalie M. Johnson and Timothy D. Phillips
Toxins 2025, 17(3), 131; https://doi.org/10.3390/toxins17030131 - 11 Mar 2025
Viewed by 83
Abstract
Dietary and environmental exposure to aflatoxins via contaminated food items can pose major health challenges to both humans and animals. Studies have reported the coexistence of aflatoxins and other environmental toxins. This emphasizes the urgent need for efficient and effective mitigation strategies for [...] Read more.
Dietary and environmental exposure to aflatoxins via contaminated food items can pose major health challenges to both humans and animals. Studies have reported the coexistence of aflatoxins and other environmental toxins. This emphasizes the urgent need for efficient and effective mitigation strategies for aflatoxins. Previous reports from our laboratory have demonstrated the potency of the green-engineered clays (GECs) on ochratoxin and other toxic chemicals. Therefore, this study sought to investigate the binding and detoxification potential of chlorophyll (CMCH and SMCH) and chlorophyllin (CMCHin and SMCHin)-amended montmorillonite clays for aflatoxin B1 (AFB1). In addition to analyzing binding metrics including affinity, capacity, free energy, and enthalpy, the sorption mechanisms of AFB1 onto the surfaces of engineered clays were also investigated. Computational and experimental studies were performed to validate the efficacy and safety of the clays. CMCH showed the highest binding capacity (Qmax) of 0.43 mol/kg compared to the parent clays CM (0.34 mol/kg) and SM (0.32 mol/kg). Interestingly, there were no significant changes in the binding capacity of the clays at pH2 and pH6, suggesting that the clays can bind to AFB1 throughout the gastrointestinal track. In silico investigations employing molecular dynamics simulations also demonstrated that CMCH enhanced AFB1 binding as compared to parent clay and predicted hydrophobic interactions as the main mode of interaction between the AFB1 and CMCH. This was corroborated by the kinetic results which indicated that the interaction was best defined by chemosorption with favorable thermodynamics and Gibbs free energy (∆G) being negative. In vitro experiments in Hep G2 cells showed that clay treatment mitigated AFB1-induced cytotoxicity, with the exception of 0.5% (w/v) SMCH. Finally, the in vivo results validated the protection of all the clays against AFB1-induced toxicities in Hydra vulgaris. This study showed that these clays significantly detoxified AFB1 (86% to 100%) and provided complete protection at levels as low as 0.1%, suggesting that they may be used as AFB1 binders in feed and food. Full article
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Figure 1
<p>Adsorption isotherms of AFB1 onto binding surfaces of (<b>A</b>) CM-clays and (<b>B</b>) SM-clays at pH2. SMCHin; chlorophyllin-amended sodium montmorillonite; SMCH: chlorophyll-amended sodium montmorillonite; SM: sodium montmorillonite; CMCHin; chlorophyllin-amended calcium montmorillonite; CMCH: chlorophyll-amended calcium montmorillonite; CM: calcium montmorillonite.</p>
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<p>Adsorption isotherms of AFB1 onto binding surfaces of (<b>A</b>) CM-clays and (<b>B</b>) SM-clays at pH6. SMCHin; chlorophyllin-amended sodium montmorillonite; SMCH: chlorophyll-amended sodium montmorillonite; SM: sodium montmorillonite; CMCHin; chlorophyllin-amended calcium montmorillonite; CMCH: chlorophyll-amended calcium montmorillonite; CM: calcium montmorillonite.</p>
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<p>Adsorption isotherms of AFB1 onto binding surfaces of (<b>A</b>) CM-clays and (<b>B</b>) SM-clays at pH6. SMCHin; chlorophyllin-amended sodium montmorillonite; SMCH: chlorophyll-amended sodium montmorillonite; SM: sodium montmorillonite; CMCHin; chlorophyllin-amended calcium montmorillonite; CMCH: chlorophyll-amended calcium montmorillonite; CM: calcium montmorillonite.</p>
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<p>Effect of contact time on the adsorption of AFB1 on binding surfaces of (<b>A</b>) CM-clays and (<b>B</b>) SM-clays. SMCHin; chlorophyllin-amended sodium montmorillonite; SMCH: chlorophyll-amended sodium montmorillonite; SM: sodium montmorillonite; CMCHin; chlorophyllin-amended calcium montmorillonite; CMCH: chlorophyll-amended calcium montmorillonite; CM: calcium montmorillonite.</p>
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<p>Effect of contact time on the adsorption of AFB1 on binding surfaces of (<b>A</b>) CM-clays and (<b>B</b>) SM-clays. SMCHin; chlorophyllin-amended sodium montmorillonite; SMCH: chlorophyll-amended sodium montmorillonite; SM: sodium montmorillonite; CMCHin; chlorophyllin-amended calcium montmorillonite; CMCH: chlorophyll-amended calcium montmorillonite; CM: calcium montmorillonite.</p>
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<p>The panels (<b>A</b>,<b>B</b>) show the average percentage binding probability of AFB1 at pH2 and pH7, respectively, to chlorophyll-amended clay (CMCH) and parent clay (CM). Direct, direct-assisted, direct-helped, and indirect-assisted interactions are shown in dark blue, orange, green, and cyan, respectively. The average values are calculated from triplicate runs. The error bars denote the standard deviation values calculated from triplicate runs.</p>
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<p>The panels (<b>A</b>,<b>B</b>) show the average contribution of chlorophyll’s chemical groups to the interactions with AFB1 at pH2 and pH7, respectively. The average values are calculated from triplicate runs. The error bars denote standard deviation values calculated from triplicate runs.</p>
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<p>Cytotoxicity of aflatoxin B1 and effects of clay treatments in Hep G2 cells measured by LDH release after 24 h exposure. Relative amount of LDH released into cell culture medium was determined after 24 h exposure to either 20 ppm aflatoxin B1 or clay-treated media containing aflatoxin-1 B and compared to vehicle control. Bars are color-coded to represent vehicle control, aflatoxin B1, and six different clays, with each clay having two dose levels. Individual data points are shown as circles. Values are presented as mean ± standard deviation (SD). N = 3 for each treatment. Significant differences are indicated by (*) for <span class="html-italic">p</span> &lt; 0.05 and (***) for <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Toxicity effects of AFB1 exposure to hydra.</p>
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<p>Protective effects of green-engineered clays on AFB1-toxicities to hydra (<b>A</b>) with chlorophyll-amended calcium montmorillonite; (<b>B</b>) with chlorophyllin-amended calcium montmorillonite; (<b>C</b>) chlorophyll-amended sodium montmorillonite; (<b>D</b>) chlorophyllin-amended sodium montmorillonite. (<b>E</b>) Influence of treatment on feeding behavior of hydra.</p>
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<p>Protective effects of green-engineered clays on AFB1-toxicities to hydra (<b>A</b>) with chlorophyll-amended calcium montmorillonite; (<b>B</b>) with chlorophyllin-amended calcium montmorillonite; (<b>C</b>) chlorophyll-amended sodium montmorillonite; (<b>D</b>) chlorophyllin-amended sodium montmorillonite. (<b>E</b>) Influence of treatment on feeding behavior of hydra.</p>
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<p>Protective effects of green-engineered clays on AFB1-toxicities to hydra (<b>A</b>) with chlorophyll-amended calcium montmorillonite; (<b>B</b>) with chlorophyllin-amended calcium montmorillonite; (<b>C</b>) chlorophyll-amended sodium montmorillonite; (<b>D</b>) chlorophyllin-amended sodium montmorillonite. (<b>E</b>) Influence of treatment on feeding behavior of hydra.</p>
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<p>Panels (<b>A</b>,<b>B</b>) show the last snapshot of a particular simulation of AFB1 in complex with CM and CMCH, respectively, at pH2. The pictures in the center of the panels are zoomed-out representations while the picture on the left and the right of the panels correspond to zoomed-in representations, with different angles shown for clarity. The clay layers are shown in vdW representation, colored by atom type. The carbon atoms of chlorophyll amendments are colored in green, while the magnesium, nitrogen, and oxygen atoms are colored by atom type. The AFB1 molecules are shown in licorice representation, colored by atom type. The calcium ions that are within a distance of 3.5 Å of clay, chlorophyll, or AFB1 are shown in vdW representation, colored in tan. The hydrogen atoms of clay and chlorophyll molecules were omitted for clarity. The indicated molecules (i) and (ii) are discussed in the main text.</p>
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21 pages, 1192 KiB  
Review
Unlocking the Potential of Vitamin D: A Comprehensive Exploration of Its Role in Neurological Health and Diseases
by Rehana Khatoon
Biology 2025, 14(3), 280; https://doi.org/10.3390/biology14030280 - 10 Mar 2025
Viewed by 191
Abstract
Vitamin D (VD), an indispensable micronutrient renowned for its pivotal role in bone health, is increasingly recognized as a frontline therapy for bone-related disorders owing to its involvement in maintaining calcium/phosphorus levels. Beyond these benefits, VD exhibits a modulatory impact on redox imbalance, [...] Read more.
Vitamin D (VD), an indispensable micronutrient renowned for its pivotal role in bone health, is increasingly recognized as a frontline therapy for bone-related disorders owing to its involvement in maintaining calcium/phosphorus levels. Beyond these benefits, VD exhibits a modulatory impact on redox imbalance, inflammation, and anti-apoptotic pathways implicated in brain-related disorders. Recent findings reveal a notable decrease in VD and its receptor expression in the cerebrospinal fluid of individuals with brain diseases, indicating a positive association between VD levels and normal brain function. Moreover, emerging reports underscore VD’s potential in mitigating the pathophysiology of neurodegenerative diseases, including memory and motor impairments, mitochondrial dysfunction, and neuronal loss. Extensive in vitro and in vivo studies elucidate VD’s multifaceted neuroprotective mechanisms, effectively mitigating neuronal damage and ATP deprivation, thus reducing mortality and morbidity. This review comprehensively examines VD’s diverse attributes, encompassing antioxidative, anti-inflammatory, anti-apoptotic, and neurogenic effects. It provides contemporary insights into VD’s efficacious actions at appropriate doses and exposures across diverse neurological experimental models. Furthermore, the clinical relevance of VD in treating patients with neurological diseases is explored. Overall, this review contributes to the exploration of potential neuroprotective agents and holds promise for improving human health outcomes in the future. Full article
(This article belongs to the Section Neuroscience)
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<p>VD metabolism and functions: In the skin cells, UV-B light exposure from the sun induces the conversion of cholesterol to pro-vitamin D forms. Pro-vitamin D enters the liver and is converted into 25 hydroxy-vitamin 3 (cholecalciferol) via the 25-hydroxylase enzyme. This is the first hydroxylation step of active form vitamin D synthesis, and it is also taken from external food sources. The second step of hydroxylation is initiated in the kidney by 1,α-25 hydroxylase enzyme and converted into 1,25 hydroxy-vitamin D, which is an active form of vitamin D. The active form binds with the vitamin D receptor (VDR), enters the nucleus, and regulates the synthesis of antioxidant, anti-inflammatory molecule, Ca<sup>+2</sup> homeostasis, neurotransmitter, mitochondrial, and developmental genes via the relevant specific gene transcription machinery activation. The active form of VD is regulated by kidney resident Cyp24A1 and A4 enzyme by feedback mechanism activation.</p>
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<p>VD-mediated regulation of causative factors in different neurological conditions. Oxidative stress, mitochondrial dysfunction, ER stress, inflammation, and apoptosis in neuronal cells unleash the aging process as a consequence of the onset of Alzheimer’s, Parkinson’s, Huntington’s, ALS, and schizophrenia diseases. VD normalizes the process of these causative agent mechanics and reduces the chances of disease onset and pathogenesis in the brain.</p>
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<p>Probable mechanisms involved in the onset and pathogenesis of different neurological diseases and their regulation by VD: In neurological disease conditions, VD deficiency occurs and induces oxidative stress, which is ultimately linked to mitochondrial dysfunction. Mitochondrial dysfunction is the cause of ATP depletion, reduced mitochondrial complex activity, and mitochondrial membrane permeability disruption. As a result of the disruption of membrane permeability, this decreases the affinity of cyt c with the inner mitochondrial membrane and promotes the release of cyt c in the cytosol from mitochondria. Cyt c induces the apoptosis process protein via the cleavage of pro-caspase-3 to caspase-3, and the loss of neuronal cells occurrs. Mitochondria also regulate the balance of Ca<sup>+2</sup> in the cytosol and mitochondria, and due to impairment in the normal function of mitochondrial activities, this decreases the CaMKII/CREB/BDNF pathway, and eventually, the event of memory loss is initiated. In addition, oxidative stress involved in ROS formation by the mitochondrial respiration alteration or other components of the body, like NADPH oxidase, regulate mitochondrial biogenesis and mitochondrial fission through the AMPK and PGC-1 pathways. ROS induce inflammation via the activation of the NFkB pathway, which is also with the apoptosis of neuronal cells. On the other hand, the induction of the MAPK pathway by excessive ROS generation also participated in the neurodegeneration process by apoptosis induction. Abbreviation: TNFα = tumor necrosis factor, IL6 = interleukin-6, Cyt c = cytochrome c, CREB = cAMP-response element binding protein, CaMKII = calcium/calmodulin-dependent protein kinase II, PGC1 = peroxisome proliferator-activated receptor-gamma coactivator 1, Drp1 = dynamin-related protein 1, ATP = adenosine triphosphate.</p>
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35 pages, 9594 KiB  
Article
Effect of Protective Coatings on Post-Fire Performance and Behavior of Mild Steel-Based Cold-Formed Steel Back-to-Back Channel Columns with Bolted Connections
by Varun Sabu Sam, Anand Nammalvar, Andrainik Iswarary, Diana Andrushia, G. Beulah Gnana Ananthi and Krishanu Roy
Fire 2025, 8(3), 107; https://doi.org/10.3390/fire8030107 - 10 Mar 2025
Viewed by 182
Abstract
This study investigates the buckling performance of built-up cold-formed steel (CFS) columns, with a focus on how different thermal exposures and cooling strategies influence their susceptibility to various failure mechanisms. Addressing the gap in the literature on the fire behavior of mild steel [...] Read more.
This study investigates the buckling performance of built-up cold-formed steel (CFS) columns, with a focus on how different thermal exposures and cooling strategies influence their susceptibility to various failure mechanisms. Addressing the gap in the literature on the fire behavior of mild steel (MS)-based CFS columns, the research aims to provide new insights. Compression tests were conducted on MS-based CFS column specimens after they were exposed to fire, to assess their post-fire buckling strength. The columns were subjected to controlled fire conditions following standardized protocols and then allowed to cool to room temperature. The study examined axial load-bearing capacity and deformation characteristics under elevated temperatures. To improve fire resistance, protective coatings—gypsum, perlite, and vermiculite—were applied to certain specimens before testing, and their performance was compared to that of uncoated specimens. A comprehensive finite element analysis (FEA) was also performed to model the structural response under different thermal and cooling scenarios, providing a detailed comparison of the coating effectiveness, which was validated against experimental results. The findings revealed significant variations in axial strength and failure mechanisms based on the type of fire-resistant coating used, as well as the heating and cooling durations. Among the coated specimens, those treated with perlite showed the best performance. For example, the air-cooled perlite-coated column (MBC2AC) retained a load capacity of 277.9 kN after 60 min of heating, a reduction of only 6.0% compared to the unheated reference section (MBREF). This performance was superior to that of the gypsum-coated (MBC1AC) and vermiculite-coated (MBC3AC) specimens, which showed reductions of 3.6% and 7.9% more, respectively. These results highlight the potential of perlite coatings to enhance the fire resistance of CFS columns, offering valuable insights for structural fire design. Full article
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<p>MS section connected back-to-back using self-tapping screws.</p>
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<p>(<b>a</b>) Dimensions of section used for experimental analysis. (<b>b</b>) Screw arrangement used for connecting C-channels.</p>
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<p>(<b>a</b>) Locations on the specimen where imperfection measurements were taken. (<b>b</b>) Geometrical imperfections measured at various locations.</p>
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<p>(<b>a</b>–<b>c</b>) MS uncoated specimens and (<b>d</b>–<b>f</b>) specimens coated with gypsum, perlite, and vermiculite, respectively.</p>
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<p>Photograph of a specimen undergoing heating inside the furnace.</p>
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<p>Experimental setup.</p>
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<p>Coated sections after heating: (<b>a</b>) Gypsum, (<b>b</b>) Perlite, (<b>c</b>) Vermiculite.</p>
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<p>Temperature measured at various locations.</p>
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<p>Failure modes observed for (<b>a</b>) MBC2AC, (<b>b</b>) MB60WC, and (<b>c</b>) MB90AC from the experiments.</p>
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<p>Load–deflection response for the tested specimens.</p>
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<p>Lateral deformations for the tested specimens.</p>
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<p>Axial stiffness for the tested specimens.</p>
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<p>(<b>a</b>,<b>b</b>) Stress–strain graphs obtained after coupon testing of uncoated specimens [<a href="#B17-fire-08-00107" class="html-bibr">17</a>].</p>
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<p>(<b>a</b>) Meshed FE model used for analysis, (<b>b</b>) FE model with boundary conditions.</p>
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<p>Comparison of load deformation graphs of (<b>a</b>) Reference, (<b>b</b>) 60 min heating and cooled using air, (<b>c</b>) 60 min heating and cooled using water.</p>
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<p>Comparison of failure modes from the experimental tests and FEM for (<b>a</b>) MBREF, (<b>b</b>) MB60AC, (<b>c</b>) MB60WC, (<b>d</b>) MB90AC.</p>
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<p>Buckling stress obtained for various sections.</p>
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<p>Relationship obtained between buckling stress and yield stress under (<b>a</b>) air cooling and (<b>b</b>) water cooling.</p>
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28 pages, 2768 KiB  
Review
Pleiotropic Effects of Grm7/GRM7 in Shaping Neurodevelopmental Pathways and the Neural Substrate of Complex Behaviors and Disorders
by Beatrix M. Gyetvai and Csaba Vadasz
Biomolecules 2025, 15(3), 392; https://doi.org/10.3390/biom15030392 - 8 Mar 2025
Viewed by 217
Abstract
Natural gene variants of metabotropic glutamate receptor subtype 7 (Grm7), coding for mGluR7, affect individuals’ alcohol-drinking preference. Psychopharmacological investigations have suggested that mGluR7 is also involved in responses to cocaine, morphine, and nicotine exposures. We review the pleiotropic effects of Grm7 [...] Read more.
Natural gene variants of metabotropic glutamate receptor subtype 7 (Grm7), coding for mGluR7, affect individuals’ alcohol-drinking preference. Psychopharmacological investigations have suggested that mGluR7 is also involved in responses to cocaine, morphine, and nicotine exposures. We review the pleiotropic effects of Grm7 and the principle of recombinant quantitative trait locus introgression (RQI), which led to the discovery of the first mammalian quantitative gene accounting for alcohol-drinking preference. Grm7/GRM7 can play important roles in mammalian ontogenesis, brain development, and predisposition to addiction. It is also involved in other behavioral phenotypes, including emotion, stress, motivated cognition, defensive behavior, and pain-related symptoms. This review identified pleiotropy and the modulation of neurobehavioral processes by variations in the gene Grm7/GRM7. Patterns of pleiotropic genes can form oligogenic architectures whosecombined additive and interaction effects can significantly predispose individuals to the expressions of disorders. Identifying and characterizing pleiotropic genes are necessary for understanding the expressions of complex traits. This requires tasks, such as discovering and identifying novel genetic elements of the genetic architecture, which are unsuitable for AI but require classical experimental genetics. Full article
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<p>Cryo-EM structure of an inactive mGluR7 homodimer (PDB: 7EPC). The structure is colored according to the chain (chain A: red, chain B: green). From top to bottom: the Venus flytrap domain, the cysteine-rich domain, and the seven-transmembrane domain (7TM) responsible for G protein coupling. Structure is visualized using EzMol (<a href="http://www.sbg.bio.ic.ac.uk/~ezmol/" target="_blank">http://www.sbg.bio.ic.ac.uk/~ezmol/</a> (accessed on 25 March 2024)).</p>
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<p>Genomic view for human <span class="html-italic">GRM7</span> gene on UCSC golden path. Cytogenetic band: 3p26.1 (<a href="https://useast.ensembl.org/Homo_sapiens/Gene/Summary?g=ENSG00000196277;r=3:6770001-7741533" target="_blank">https://useast.ensembl.org/Homo_sapiens/Gene/Summary?g=ENSG00000196277;r=3:6770001-7741533</a> (accessed on 29 July 2024)).</p>
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<p>Protein–protein interaction networks for <span class="html-italic">GRM7</span>. Nodes represent proteins, and edges represent interactions. (<b>A</b>) Homo sapiens: Predicted functional partners of <span class="html-italic">GRM7</span> include <span class="html-italic">GRM2</span>, PICK1, <span class="html-italic">GRM8</span>, GRIK1, and <span class="html-italic">GRM4</span>. The observed interaction enrichment suggests these proteins are biologically connected, potentially indicating a role in addiction mechanisms. (<b>B</b>) Anas platyrhynchos: The <span class="html-italic">GRM7</span>-<span class="html-italic">GRM2</span> interaction is conserved in wild ducks, suggesting evolutionary conservation of this functional relationship.</p>
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<p>In a mouse brain CA1 metabotropic glutamate receptor 7 mRNA expression was significantly higher in congenic B6By.C6.137.54 male mice in comparison with background C57BL/6By males carrying different variants of <span class="html-italic">Grm7</span>. The higher mRNA abundance was associated with a significantly lower voluntary alcohol-drinking preference [<a href="#B52-biomolecules-15-00392" class="html-bibr">52</a>]. The position of the CA1 field (Green, HPF CA1) is shown here in the Allen Brain Atlas. Interactive Atlas Viewer approximates the position of CA1 at Bregma −2.18 [P56, coronal image 76 of 132, zoom 5.94%] (<a href="http://atlas.brain-map.org/atlas" target="_blank">http://atlas.brain-map.org/atlas</a> (accessed on 30 July 2024)).</p>
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18 pages, 2120 KiB  
Review
Exploring Environmental Effects on Dental Changes: Insights from a Scoping Review and Preliminary Experimental Study
by Parvathy Kollatt Gopakumar, Hemlata Pandey and Scheila Mânica
Forensic Sci. 2025, 5(1), 12; https://doi.org/10.3390/forensicsci5010012 - 8 Mar 2025
Viewed by 210
Abstract
Teeth are highly durable and useful in forensic identification and studying the impact of environmental factors could aid forensic investigations. Accurate post-mortem interval (PMI) estimation using dental evidence is critical in legal contexts, it requires further exploration. Aims: This study included a [...] Read more.
Teeth are highly durable and useful in forensic identification and studying the impact of environmental factors could aid forensic investigations. Accurate post-mortem interval (PMI) estimation using dental evidence is critical in legal contexts, it requires further exploration. Aims: This study included a scoping review investigating macroscopic and microscopic changes in teeth in various simulated environments (Part 1) and an experimental study assessing changes in teeth and restorations exposed to distilled water, saline water, acidic soil, and alkaline soil (Part 2). Methods: The scoping review analysed publications from five databases using keywords such as ‘Teeth’, ‘Dental’, ‘Water’, ‘Soil’, ‘Acid’, and ‘Forensic.’ The experimental study involved 40 human teeth photographed before and after a 90-day exposure period to record shade variations and macroscopic changes. Results: Part 1: Twenty-six relevant articles from 10 countries (1987–2022) were reviewed, with most focusing on human teeth (77%), unrestored teeth (54%), macroscopic changes (46%), and high-temperature environments (53%). Part 2: Teeth in distilled water (G1) showed no shade variation. In saline water (G2), 60% of teeth decreased in shade. In acidic soil (G3), 40% showed an increased shade, while 50% showed a decreased shade. In alkaline soil (G4), 70% of teeth showed an increased shade. Restorations exhibited minimal changes across environments. Conclusions: Studies on the macroscopic changes because of high temperature on teeth and dental restorative material are popular. Teeth exposed to alkaline and acidic soil showed the most changes in the structure. Full article
(This article belongs to the Special Issue Advances in Forensic Odontology)
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<p>PRISMA flow diagram.</p>
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<p>Graph outlining the shade changes in tooth structure in each environment.</p>
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<p>Graph outlining the shade changes in tooth-coloured restorations in each environment.</p>
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<p>Group 2, saline water: tooth number nine on labial view showed a decrease of nine shades from A4 to C1 following exposure (<b>A</b>,<b>B</b>). The colour of the composite restoration on the same tooth, as seen in the occlusal view, increased eight shades from C2 to A4 (<b>C</b>,<b>D</b>).</p>
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<p>Group 3, acidic soil: tooth number nine on labial view showed a decrease of twelve shades from C4 to D2 following exposure (<b>A</b>,<b>B</b>). The colour of the restoration on the same tooth, as seen in occlusal view, decrease nine shades from B4 to D2 (<b>C</b>,<b>D</b>).</p>
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<p>Group 4, alkaline soil: tooth number two on labial view showed an increase of three shades from B1 to D2 following exposure (<b>A</b>,<b>B</b>). The colour of the restoration on the same tooth, as seen in the occlusal view, increases five shades from A1 to C2 (<b>C</b>,<b>D</b>).</p>
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15 pages, 3240 KiB  
Article
Therapeutic Effects of TN13 Peptide on Acute Respiratory Distress Syndrome and Sepsis Models In Vivo
by Jae-Eun Byun, Jae-Won Lee, Eun Ji Choi, Juhyun Lee, Seok Han Yun, Chan Ho Park, Hanna Kim, Mi Sun Kim, Suk Ran Yoon, Tae-Don Kim, Ji-Yoon Noh, Sang-Hyun Min, Hyun-A. Seong, Kyung-Seop Ahn, Inpyo Choi and Haiyoung Jung
J. Clin. Med. 2025, 14(6), 1804; https://doi.org/10.3390/jcm14061804 - 7 Mar 2025
Viewed by 217
Abstract
Background/Objectives: Regulation of acute inflammatory responses is crucial for host mortality and morbidity induced by pathogens. The pathogenesis of acute respiratory distress syndrome (ARDS) and sepsis are associated with systemic inflammation. p38 MAPK is a crucial regulator of inflammatory responses and is a [...] Read more.
Background/Objectives: Regulation of acute inflammatory responses is crucial for host mortality and morbidity induced by pathogens. The pathogenesis of acute respiratory distress syndrome (ARDS) and sepsis are associated with systemic inflammation. p38 MAPK is a crucial regulator of inflammatory responses and is a potential target for acute inflammatory diseases, including ARDS and sepsis. We investigated the therapeutic effects of the TAT-TN13 peptide (TN13) on severe inflammatory diseases, including ARDS and sepsis, in vivo. Methods: To establish the ARDS model, C57BL/6 mice were intranasally (i.n.) administered lipopolysaccharide (LPS; 5 mg/kg, 40 µL) to induce lung inflammation. As a positive control, dexamethasone (DEX; 0.2 mg/kg) was administered intraperitoneally (i.n.) 1 h post-LPS exposure. In the experimental groups, TN13 was administered intranasally (i.n.) at doses of 2.5 mg or 5 mg/kg at the same time point. In the LPS-induced sepsis model, mice received an intraperitoneal injection of LPS (20 mg/kg) to induce systemic inflammation. TN13 (25 mg/kg, i.p.) was administered 1 h after LPS treatment. Control mice received phosphate-buffered saline (PBS). Lung histopathology, inflammatory cell infiltration, cytokine levels, and survival rates were assessed to evaluate TN13 efficacy. Results: TN13 significantly reduced inflammatory cell recruitment and cytokine production in the lungs, thereby mitigating LPS-induced ARDS. In the sepsis model, TN13 treatment improved survival rates by suppressing inflammatory responses. Mechanistically, TN13 exerted its effects by inhibiting the p38 MAPK/NF-κB signaling pathway. Conclusions: These results collectively suggested that TN13 could be an effective treatment option for severe inflammatory diseases. Full article
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<p>TN13 Peptide suppresses inflammation in A549 cells. (<b>A</b>,<b>B</b>) A549 cells were treated with various concentrations of LPS (<b>A</b>) or TN13 (<b>B</b>) for 24 h, and cell viability was assessed using the CCK-8 assay to evaluate cytotoxic effects. (<b>C</b>) Flow cytometry analysis was performed to examine the intracellular uptake of FITC-labeled TN13. (<b>D</b>) Western blot analysis was conducted to assess p38 MAPK phosphorylation following LPS treatment. (<b>E</b>) TN13 treatment was evaluated for its effect on LPS-induced phosphorylation of p38 MAPK. (<b>F</b>–<b>H</b>) The mRNA expression levels of key pro-inflammatory cytokines, including TNF-α (<b>F</b>), IL-1β (<b>G</b>), and IL-6 (<b>H</b>), were measured using quantitative real-time PCR. Data are presented as mean ± S.D. Statistical significance was determined using a two-tailed Student’s <span class="html-italic">t</span>-test, with ## <span class="html-italic">p</span> &lt; 0.01 compared to the control group and * <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 compared to the LPS-treated group. n.s: indicates no statistical significance.</p>
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<p>TN13 attenuates lung inflammation by reducing inflammatory cell infiltration in LPS-induced ARDS mice. (<b>A</b>) Experimental design and group composition: C57BL/6 mice (<span class="html-italic">n</span> = 5 per group) were randomly divided into the following five groups: Control: PBS only; LPS: ARDS induction with LPS (5 mg/kg, 40 µL, intranasal) only; Positive Control: LPS + dexamethasone (DEX, 0.2 mg/kg); Low-dose TN13: LPS + TN13 (2.5 mg/kg); and High-dose TN13: LPS + TN13 (5 mg/kg). LPS was administered on day 0, and TN13 or DEX was given intranasally 1 h post-LPS administration on days 0 and 1. Mice were sacrificed on day 2 for BALF collection and lung tissue harvesting. (<b>B</b>) Neutrophil and macrophage counts in BALF of mice were determined using Diff-Quik<sup>®</sup> staining and cell counting (magnification, ×400; scale bar, 25 µM). (<b>C</b>) H&amp;E staining in the lungs of mice (magnification, ×100; scale bar, 100 μm). Data are expressed as the mean ± SD. # <span class="html-italic">p</span> &lt; 0.05 vs. Ctrl; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 vs. ARDS.</p>
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<p>TN13 suppresses pro-inflammatory cytokine production in the lungs of LPS-induced ARDS mice. (<b>A</b>) TNF-α, (<b>B</b>) IL-6, and (<b>C</b>) IL-1β in the BALF of mice were determined using ELISA. (<b>D</b>) The p38/NF-κB pathway-related proteins were determined by Western blot in ARDS lungs. Data are expressed as the mean ± SD. # <span class="html-italic">p</span> &lt; 0.05 vs. Ctrl; * <span class="html-italic">p</span> &lt; 0.05,** <span class="html-italic">p</span> &lt; 0.01 vs. ARDS.</p>
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<p>TN13 rescues mice from LPS-induced sepsis. (<b>A</b>) Experimental design of sepsis mouse model. Schematic illustration for routine i.p. of LPS stimulation (20 mg/kg) and treatment of TN13 (25 mg/kg) injection once a day a total of 2 times. (<b>B</b>) Mice body temperature change after LPS + PBS or LPS + TN13 injection (<span class="html-italic">n</span> = 10). Before, −1 h; after, +1 h; and recover, +24 h after TN13 (25 mg/kg) treatment, which was administered 1 h after LPS injection. (<b>C</b>) Mice survival over time LPS + PBS or LPS + TN13 injection (<span class="html-italic">n</span> = 10). Data are expressed as the mean ± SD. *** <span class="html-italic">p</span> &lt; 0.001 vs. before control.</p>
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<p>TN13 inhibits inflammatory responses in the sepsis mouse model. (<b>A</b>–<b>D</b>) Frequencies of neutrophil and macrophage in the spleen and peripheral blood of mice (<span class="html-italic">n</span> = 5). (<b>E</b>,<b>F</b>) Frequencies of activated macrophages (CD80+ cells) in the spleen and peripheral blood. Cells were analyzed by flow cytometry to determine their percentage. Data are mean ± S.D. (Statistical significance was determined using a two-tailed Student’s <span class="html-italic">t</span>-tests. # <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 vs. Ctrl; * <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 vs. LPS + PBS).</p>
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<p>TN13 downregulates inflammatory cytokine levels in lipopolysaccharide-induced sepsis mouse model. Secretions of cytokine TNF-α (<b>A</b>), IL-6 (<b>B</b>), and IL-1β (<b>C</b>) were determined in mice serum using ELISA (<span class="html-italic">n</span> = 10). Data are mean ± S.D. (Statistical significance was determined using a two-tailed Student’s <span class="html-italic">t</span>-tests. ## <span class="html-italic">p</span> &lt; 0.01, ### <span class="html-italic">p</span> &lt; 0.001 vs. Ctrl; * <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 vs. LPS + PBS).</p>
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<p>TN13 inhibits the p38/NF-κB pathways in the sepsis mouse model. The expressions of the p38/NF-κB pathway-related protein were determined by Western blot in sepsis lung (<b>A</b>) and spleen (<b>B</b>).</p>
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14 pages, 2494 KiB  
Article
Assessing Nicotine Exposure in Users and Non-Users of Electronic Cigarettes Through Silicone Wristbands
by Giovanni E. Appolon, Samantha Suess, Alice Xayavong, Nicolas Lopez Galvez, Nathan G. Dodder, Eunha Hoh, Penelope J. E. Quintana and Eyal Oren
Int. J. Environ. Res. Public Health 2025, 22(3), 388; https://doi.org/10.3390/ijerph22030388 - 7 Mar 2025
Viewed by 155
Abstract
Although the use of electronic nicotine delivery systems (ENDS) among youth has declined since its peak in 2018, it remains popular among young adults. Despite its popularity, research on the health effects of secondhand exposure to ENDS remains limited. Silicone wristbands offer a [...] Read more.
Although the use of electronic nicotine delivery systems (ENDS) among youth has declined since its peak in 2018, it remains popular among young adults. Despite its popularity, research on the health effects of secondhand exposure to ENDS remains limited. Silicone wristbands offer a simple, cost-effective method for measuring nicotine exposure. The study employed a quasi-experimental design and recruited six dyads consisting of ENDS users and non-users. Over three consecutive months, all participants wore silicone wristbands for one week at a time to assess nicotine exposure. ENDS users had a higher overall median nicotine concentration in their silicone wristbands (423.2 ng/g, IQR: 199.2–669.1) compared to non-users (17.2 ng/g, IQR: 6.5–128.0). This trend was consistent across all time points. Statistically significant differences between ENDS users and non-users were observed during months 1 and 2 (p-values = 0.0303 and 0.0411, respectively), but not during month 3 (p-value = 0.2468). Similar trends were observed in urinary cotinine levels, with higher medians among ENDS users (1013.0 ng/mL, IQL: 442.0–1490.0) compared to non-users (1.3 ng/mL, IQL: 1.0–1.4). A significant correlation was found between urinary cotinine and wristband nicotine levels only in non-users (r = 0.69, p-value = 0.0017). Silicone wristbands worn by non-users can detect secondhand nicotine exposure and are significantly correlated with urinary cotinine. Full article
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<p>Median levels of natural log nicotine in silicone wristbands (ng/g) and natural log of urinary cotinine (ng/mL) across study months and overall.</p>
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<p>Percentages of self-reported physical areas of exposure. Exposure locations were tallied based on “yes” responses over the three-month period. The percentage of “yes” responses for each location was then calculated, and the proportion of users and non-users was analyzed. There were a total of 145 responses to exposure within the past seven days and 82 responses of exposure within the past 24 h across all time points.</p>
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<p>Individual silicone wristband nicotine and urinary cotinine trends for all e-cigarette non-users across all study time points.</p>
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<p>Individual silicone wristband nicotine and urinary cotinine trends for all e-cigarette users across all study time points.</p>
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<p>Pearson correlation between log-transformed urinary cotinine and log-transformed silicone wristband nicotine by vaping status.</p>
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23 pages, 5418 KiB  
Article
Modeling of CO2 Efflux from Forest and Grassland Soils Depending on Weather Conditions
by Sergey Kivalov, Irina Kurganova, Sergey Bykhovets, Dmitriy Khoroshaev, Valentin Lopes de Gerenyu, Yiping Wu, Tatiana Myakshina, Yakov Kuzyakov and Irina Priputina
Soil Syst. 2025, 9(1), 25; https://doi.org/10.3390/soilsystems9010025 - 6 Mar 2025
Viewed by 200
Abstract
Carbon dioxide (CO2) efflux from soil (or soil respiration, SR) is one of the most important yet variable characteristics of soil. When evaluating large areas, CO2 efflux modeling serves as a viable alternative to direct measurements. This research aims to [...] Read more.
Carbon dioxide (CO2) efflux from soil (or soil respiration, SR) is one of the most important yet variable characteristics of soil. When evaluating large areas, CO2 efflux modeling serves as a viable alternative to direct measurements. This research aims to identify site-specific differences and their effects on empirical CO2 efflux modeling. The experimental data from 25 years of field observations were utilized to identify the optimal site- and weather-specific models, parameterized for normal, wet, and dry years, for the forest and grassland ecosystems located on similar Entic Podzols (Arenic) in the same bioclimatic coniferous–deciduous forest zone. The following parameters were considered in the examined models: mean monthly soil or air temperatures (Tsoil and Tair), amount of precipitation during the current (P) and the previous (PP) months, and the storage of soil organic carbon (SOC) in the top 20 cm of soil. The weighted non-linear regression method was employed to estimate the model parameters for the normal, wet, and dry years. To increase the magnitude of the model resolutions, we controlled the slope and intercept of the linear model comparison between the measured and modeled data through the change in R0—CO2 efflux at Tsoil = 0 °C. The mean bias error (MBE), root-mean-square error (RMSE), and determination coefficient (R2) were employed to assess the quality of the model’s performance. The measured Tsoil, Tair, and P, as well as the litter (for forest) or sod (for grassland) horizon (modeled by the Soil SCLmate Statistical Simulator (SCLISS)), and soil temperatures (Tlit_m, Tsoil_m) and moistures (Mlit_m, Msoil_m), were used for SR simulation. For the CO2 efflux in the forest ecosystem with the lower SOC availability for mineralization, the direct Tsoil and Tair measurements in combination with SOC storage provided better parameterization for the empirical TPPC model. For the CO2 efflux in the grassland ecosystem with the high SOC availability for mineralization, the temperature became the governing factor, and the TPPrh model provided better performance over all the considered models. The model’s performance was the best for the wet years, and the worst for the dry years for both ecosystems. For forest ecosystems, the model performance for average precipitation years was equivalent to that in wet years. For grassland ecosystems, however, the model performance was equivalent to that in dry years due to differing exposure and hydrothermal regimes. The wet-year R0 obtained for both forest and grassland ecosystems differed from the normal- and dry-year values. The measured SR values relevant for the R0 estimations distribute along the precipitation range for the forest and along the temperature range for the grassland. The SCLISS-modeled Tlit_m and Mlit_m provide good alternatives to direct atmospheric measurements, and can be used as initial temperature and moisture data for CO2 efflux modeling when direct soil and moisture observations are not available on site. Full article
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<p>Forest and grassland sites’ soil profiles: (<b>a</b>) For the forest site, (<b>b</b>) for the grassland site; the gleyic color below 70 cm depth is due to the stagnic water conditions for the grassland site.</p>
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<p>Comparison among the measured air (Tair, black circles and lines) and SCLISS-modeled litter/sod and soil (Tlit_m, red lines; Tsoil_m, blue lines) temperatures with the measured soil temperature (Tsoil) for forest and grassland sites; the vertical dashed line is the Tsoil = 2 °C threshold when the average Tair = 0 °C.</p>
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<p>Comparison of the SCLISS-modeled litter or sod horizon (Mlit_m) and soil (Msoil_m) moisture with measured precipitation (Prec) at Danki (<b>a</b>) and measured soil moisture (W, % by mass) at the grassland site (<b>b</b>): red circles—Mlit_m (% by volume); blue circles—Msoil_m (% by volume).</p>
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<p>Measured CO<sub>2</sub> efflux (SR)–precipitation (Prec) dependency for the 0 &lt; Tsoil &lt; 1 °C for Entic Podzol under forest (<b>left</b>) and grassland (<b>right</b>) with the obtained R<sub>0</sub> (g C m<sup>−2</sup> day<sup>−1</sup>) for normal (green), dry (brown), and wet (blue) years—horizontal lines. Labels show months with their monthly precipitation: red (11 &lt; Prec &lt; 34 mm), brown (34 &lt; Prec &lt; 57 mm), yellow (57 &lt; Prec &lt; 80 mm), green (80 &lt; Prec &lt; 103 mm), and blue (103 &lt; Prec &lt;126 mm); numbers near colored cycles show individual values in October (10), November (11) and December (12).</p>
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<p>Measured CO<sub>2</sub> efflux (SR)–soil temperature (Tsoil) dependency for the 0 &lt; Tsoil &lt; 1 °C for Entic Podzol under forest (<b>left</b>) and grassland (<b>right</b>) sites with the obtained R<sub>0</sub> values (g C m<sup>−2</sup> day<sup>−1</sup>) for normal (green), dry (brown), and wet (blue) years—horizontal lines. Labels show months with their measured soil temperatures: blue (0 &lt; Tsoil &lt; 0.2 °C), green (0.2 &lt; Tsoil &lt; 0.4 °C), yellow (0.4 &lt; Tsoil &lt; 0.6 °C), brown (0.6 &lt; Tsoil &lt; 0.8 °C), and red (0.8 &lt; Tsoil &lt; 1 °C); numbers near colored cycles are individual in October (10), November (11) and December (12).</p>
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<p>The TPPC model CO<sub>2</sub> efflux comparisons (SR<sub>TPPC</sub>) between the weather-specific model (red) and the all-weather model (green for normal, brown for dry, and blue for wet conditions) against the measured CO<sub>2</sub> efflux data (SRmeas) with the respective regressions; for the measured soil and air and modeled litterM and soilM parameterizations; for the forest (<b>left</b>) and the grassland (<b>right</b>).</p>
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<p>The TPPrh model CO<sub>2</sub> efflux comparisons (SR<sub>TPPrh</sub>) between the weather-specific model (red) and the all-weather model (green for normal, orange for dry, and blue for wet conditions) against the measured CO<sub>2</sub> efflux data (SRmeas) with the respective regressions; for the measured soil and air and modeled litterM and soilM parameterizations; for the forest (<b>left</b>) and the grassland (<b>right</b>).</p>
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<p>Comparison of the weather-specific TPPC_nwd (<b>top</b>) or TPPrh_nwd (<b>bottom</b>) model performances parameterized by the Tair−Prec (blue), Tsoil−Prec (red), and Tlit_m−Mlit_m (brown) and their variations from the measurements taken for the cold and warm periods for the forest site; measured CO<sub>2</sub> efflux—the thick black line; spatial variability of measurements—the thin black lines; normal (light green), dry (beige), and wet (light blue) years.</p>
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<p>Comparison of the weather-specific TPPC_nwd (<b>top</b>) or TPPrh_nwd (<b>bottom</b>) model performances parameterized by the Tair−Prec (blue), Tsoil−Prec (red), and Tlit_m−Mlit_m (brown) and their variation from the measurements taken for the cold and warm periods for the grassland site; measured CO<sub>2</sub> efflux—the thick black line; spatial variability of measurements—the thin black lines; normal (light green), dry (beige), and wet (light blue) years.</p>
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<p>Monthly precipitation distribution over the monthly temperature range of soil (<b>a</b>,<b>b</b>) and air (<b>c</b>,<b>d</b>) during the year for the normal (green), dry (brown), and wet (blue) years; colored dots—individual monthly measurements; colored lines—trends for the respective conditions; for forest (<b>left</b>) and grassland (<b>right</b>).</p>
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<p>Soil temperature (Tsoil)–precipitation (Prec) diagram of the measured CO<sub>2</sub> efflux (SR) (colored dots) (g C m<sup>−2</sup> day<sup>−1</sup>): blue (0.1 &lt; SR &lt; 0.51 °C), green (0.51 &lt; SR &lt; 0.92 °C), yellow (0.92 &lt; SR &lt; 1.34 °C), brown (1.34 &lt; SR &lt; 1.75 °C), and red (1.75 &lt; SR &lt; 2.16 °C). Ellipses—confidence (40%) locations of the <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>R</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math>-related measured CO<sub>2</sub> efflux clouds for the normal (green), wet (blue), and dry (brown) conditions.</p>
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20 pages, 1416 KiB  
Article
Effects of Flight Experience or Simulator Exposure on Simulator Sickness in Virtual Reality Flight Simulation
by Alexander Somerville, Keith Joiner and Graham Wild
Multimodal Technol. Interact. 2025, 9(3), 24; https://doi.org/10.3390/mti9030024 - 6 Mar 2025
Viewed by 98
Abstract
The use of virtual reality (VR) for flight simulation, particularly in the earliest stages of pilot training, is gaining attention in both research and industry. The use of the technology for this ab initio training requires suitable consideration of the risks of simulator [...] Read more.
The use of virtual reality (VR) for flight simulation, particularly in the earliest stages of pilot training, is gaining attention in both research and industry. The use of the technology for this ab initio training requires suitable consideration of the risks of simulator sickness—risks that are heightened relative to conventional simulators. If simulator sickness results in the development of compensatory skills, or otherwise disrupts the training process, the benefits of the technology may be negated. Enabling the effective integration of VR within flight training requires that, to the extent that simulator sickness is an issue, practical mechanisms are developed to manage the occurrence without disrupting existing training structures. The primary objective of this research is, thus, to evaluate an intervention and a nuisance factor in relation to the reduction of simulator sickness, considering their practicality within existing flight training syllabi. The Total Severity (TS) of the Simulator Sickness Questionnaire (SSQ) was evaluated within a quasi-experimental, non-equivalent pre-test–post-test design, incorporating three groups: a prior flight experience nuisance factor group, a prior personal computer aviation training device (PCATD) exposure intervention group, and a control group with neither prior experience nor prior simulator exposure. The results indicated that the TS was significantly reduced for the prior flight experience nuisance factor (rrb = 0.375), but that the PCATD exposure intervention produced no such reduction (rrb = 0.016). The findings suggest that VR flight simulation is likely best used as a supplemental tool, introduced after initial airborne experience. Notwithstanding this finding, the relatively low median TS scores (<20) for all groups suggest that the technology may still be used with caution earlier in the training process. No other published research has examined this important effect in the context of the new VR situation. Full article
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<p>Non-equivalent pre-test–post-test design as implemented, with SSQ tested before and after VR simulator use, and the control group receiving PCATD exposure only after the post-test SSQ.</p>
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<p>Block diagram of VR and conventional simulator setup.</p>
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<p>Example “squircle” flight pattern.</p>
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<p>Change score of the Total Severity (TS) of the SSQ for each group.</p>
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20 pages, 2781 KiB  
Brief Report
A Novel Method for Achieving Precision and Reproducibility in a 1.8 GHz Radiofrequency Exposure System That Modulates Intracellular ROS as a Function of Signal Amplitude in Human Cell Cultures
by Cyril Dahon, Blanche Aguida, Yoann Lebon, Pierre Le Guen, Art Dangremont, Olivier Meyer, Jean-Marie Citerne, Marootpong Pooam, Haider Raad, Thawatchai Thoradit, Nathalie Jourdan, Federico Bertagna and Margaret Ahmad
Bioengineering 2025, 12(3), 257; https://doi.org/10.3390/bioengineering12030257 - 4 Mar 2025
Viewed by 398
Abstract
Radiofrequency fields in the 1–28 GHz range are ubiquitous in the modern world, giving rise to numerous studies of potential health risks such as cancer, neurological conditions, reproductive risks and electromagnetic hypersensitivity. However, results are inconsistent due to a lack of precision in [...] Read more.
Radiofrequency fields in the 1–28 GHz range are ubiquitous in the modern world, giving rise to numerous studies of potential health risks such as cancer, neurological conditions, reproductive risks and electromagnetic hypersensitivity. However, results are inconsistent due to a lack of precision in exposure conditions and vastly differing experimental models, whereas measured RF effects are often indirect and occur over many hours or even days. Here, we present a simplified RF exposure protocol providing a single 1.8 GHz carrier frequency to human HEK293 cell monolayer cultures. A custom-built exposure box and antenna maintained in a fully shielded anechoic chamber emits discrete RF signals which can be precisely characterized and modelled. The chosen amplitudes are non-thermal and fall within the range of modern telecommunication devices. A critical feature of the protocol is that cell cultures are exposed to only a single, short (15 min) RF exposure period, followed by detection of immediate, rapid changes in gene expression. In this way, we show that modulation of genes implicated in oxidative stress and ROS signaling is among the earliest cellular responses to RF exposure. Moreover, these genes respond in complex ways to varying RF signal amplitudes consistent with a hormetic, receptor-driven biological mechanism. We conclude that induction of mild cellular stress and reactive oxygen species (ROS) is a primary response of human cells to RF signals, and that these responses occur at RF signal amplitudes within the range of normal telecommunications devices. We suggest that this method may help provide a guideline for greater reliability and reproducibility of research results between labs, and thereby help resolve existing controversy on underlying mechanisms and outcomes of RF exposure in the general population. Full article
(This article belongs to the Section Biosignal Processing)
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<p>Overview of the electromagnetic exposure system. The RF exposure box is placed within the anechoic chamber (<b>B</b>) while the electric field probe, spectrum analyzer, temperature control device, and function generator are located outside the chamber (<b>A</b>).</p>
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<p>RF radiation exposure box. (<b>A</b>) Outside view placed in the anechoic chamber. (<b>B</b>) Structural features for thermal insulation. (<b>C</b>) Heating system. (<b>D</b>) Recording of the temperature as a function of time (hours) before and during the experimental cycle; example of PID controlled temperature. Samples are added and removed at the indicated ‘hood opening time’.</p>
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<p>The patch antenna and its positioning. (<b>A</b>) The 1.8GHz patch antenna. (<b>B</b>) The RF radiation box. (<b>C</b>) Top hood opened shows the thermal insulator.</p>
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<p>Experimental outline. Human HEK293 cells were subcultured under the identical conditions and then exposed for 15 min to either RF or to a sham signal in a custom-built RF exposure box. Subsequent to RF exposure, cell cultures were returned to their regular growth incubator for an additional 2.45 h before being frozen, undergoing RNA extraction, and then qPCR analysis to determine gene expression changes.</p>
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<p>qPCR analysis of gene expression in response to the generator RF signal amplitude (see <a href="#bioengineering-12-00257-t002" class="html-table">Table 2</a> for corresponding electromagnetic power measurements in Wm<sup>−2</sup>). Cell cultures grown in triplicate were exposed for 15 min to different RF signal amplitudes in the RF exposure box as described (Methods). Change in expression of the known ROS-regulated gene KIAA (20, 21) was monitored as a function of the control (Sham) exposure condition of less than P<sub>EMG</sub> = −75 dBm = 3.3 × 10<sup>−7</sup> Wm<sup>−2</sup> (Control). <span class="html-italic">n</span> = 3; <span class="html-italic">p</span> &lt; 0.0001 **** and <span class="html-italic">p</span> &lt; 0.05 * represent <span class="html-italic">p</span>-value significance in comparison to sham exposure.</p>
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<p>RF signal amplitude dependence of ROS-regulated gene expression is non-linear. In the present experiment, we have analyzed the expression characteristics of several genes at amplitudes ranging from control P<sub>EMG</sub> = −75 dBm to P<sub>gene</sub> = +10 dBm (corresponding to P<sub>EMG</sub> = 2.9 × 10<sup>−3</sup> Wm<sup>−2</sup>). Statistical significance is calculated with respect to expression levels of the control (Sham-treated) samples. <span class="html-italic">n</span> = 3; <span class="html-italic">p</span> &lt; 0.0001 ****, <span class="html-italic">p</span> &lt; 0.001 ***, <span class="html-italic">p</span> &lt; 0.01 **, and <span class="html-italic">p</span> &lt; 0.05 * represent <span class="html-italic">p</span>-value significance in comparison to sham exposure.</p>
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17 pages, 13969 KiB  
Article
Combined Plasma and Laser Heating of Graphite
by Aleksey Chaplygin, Mikhail Yakimov, Sergey Vasil’evskii, Mikhail Kotov, Ilya Lukomskii, Semen Galkin, Andrey Shemyakin, Nikolay Solovyov and Anatoly Kolesnikov
Plasma 2025, 8(1), 9; https://doi.org/10.3390/plasma8010009 - 4 Mar 2025
Viewed by 254
Abstract
This paper investigates a novel combined laser and plasma heating test technique. Integrating the 1.5 kW Raycus RFL-C1500 laser source into the VGU-4 Inductively Coupled Plasma Facility (IPMech RAS) allowed the study of fine-grain MPG-7 graphite ablation in the high-temperature range from 2920 [...] Read more.
This paper investigates a novel combined laser and plasma heating test technique. Integrating the 1.5 kW Raycus RFL-C1500 laser source into the VGU-4 Inductively Coupled Plasma Facility (IPMech RAS) allowed the study of fine-grain MPG-7 graphite ablation in the high-temperature range from 2920 to 3865 K under exposure to subsonic nitrogen plasma flow and combined exposure to nitrogen plasma flow and laser irradiation. Graphite nitridation and sublimation were observed. The subsonic nitrogen plasma flow was characterized by numerical modeling, probes, and spectral measurements. The proposed experimental approach is promising for simulating the entry conditions of planetary mission vehicles into different atmospheres. Full article
(This article belongs to the Special Issue Feature Papers in Plasma Sciences 2025)
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<p>Graphite sample mounted in the water-cooled holder.</p>
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<p>Sketch of the test configuration in the VGU-4 ICP facility with an additional laser source. Note: graph is not to scale.</p>
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<p>Water-cooled holder with steady-state heat flux probe.</p>
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<p>Emission spectra for nitrogen plasma free-stream behind the nozzle outlet (<math display="inline"><semantics> <mrow> <msub> <mi>N</mi> <mrow> <mi>a</mi> <mi>p</mi> </mrow> </msub> <mo>=</mo> <mn>70</mn> </mrow> </semantics></math> kW, <math display="inline"><semantics> <mrow> <msub> <mi>p</mi> <mrow> <mi>c</mi> <mi>h</mi> </mrow> </msub> <mo>=</mo> <mn>2</mn> <mspace width="3.33333pt"/> <mo>×</mo> <mspace width="3.33333pt"/> <msup> <mn>10</mn> <mn>4</mn> </msup> </mrow> </semantics></math> Pa, <math display="inline"><semantics> <mrow> <mi>G</mi> <mo>=</mo> <mn>2.4</mn> </mrow> </semantics></math> g/s).</p>
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<p>Nitrogen plasma jet: calculated temperature distribution (<math display="inline"><semantics> <mrow> <msub> <mi>N</mi> <mrow> <mi>a</mi> <mi>p</mi> </mrow> </msub> <mo>=</mo> <mn>70</mn> </mrow> </semantics></math> kW, <math display="inline"><semantics> <mrow> <msub> <mi>p</mi> <mrow> <mi>c</mi> <mi>h</mi> </mrow> </msub> <mo>=</mo> <mn>2</mn> <mspace width="3.33333pt"/> <mo>×</mo> <mspace width="3.33333pt"/> <msup> <mn>10</mn> <mn>4</mn> </msup> </mrow> </semantics></math> Pa, <math display="inline"><semantics> <mrow> <mi>G</mi> <mo>=</mo> <mn>2.4</mn> </mrow> </semantics></math> g/s).</p>
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<p>Heat flux <math display="inline"><semantics> <msub> <mi>q</mi> <mrow> <mi>c</mi> <mi>w</mi> </mrow> </msub> </semantics></math> measured on the jet axis at 15 mm from the nozzle outlet as a function of RF generator anode power <math display="inline"><semantics> <msub> <mi>N</mi> <mrow> <mi>a</mi> <mi>p</mi> </mrow> </msub> </semantics></math> (<math display="inline"><semantics> <mrow> <msub> <mi>p</mi> <mrow> <mi>c</mi> <mi>h</mi> </mrow> </msub> <mo>=</mo> <mn>2</mn> <mspace width="3.33333pt"/> <mo>×</mo> <mspace width="3.33333pt"/> <msup> <mn>10</mn> <mn>4</mn> </msup> </mrow> </semantics></math> Pa, <math display="inline"><semantics> <mrow> <mi>G</mi> <mo>=</mo> <mn>2.4</mn> </mrow> </semantics></math> g/s).</p>
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<p>Typical intensity distribution in the laser spot.</p>
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<p>Maximum graphite surface temperature vs. exposure time.</p>
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<p>Thermal image of the sample recorded in Test 24-231 immediately before exposure was terminated.</p>
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<p>Graphite samples: before exposure (1); tested in nitrogen plasma flow at constant RF generator power <math display="inline"><semantics> <mrow> <msub> <mi>N</mi> <mrow> <mi>a</mi> <mi>p</mi> </mrow> </msub> <mo>=</mo> <mn>70</mn> </mrow> </semantics></math> kW without laser heating (2) and with laser heating <math display="inline"><semantics> <mrow> <msubsup> <mi mathvariant="normal">N</mi> <mrow> <mi>laser</mi> </mrow> <mi>incident</mi> </msubsup> <mo>=</mo> <mn>0.615</mn> </mrow> </semantics></math> kW (3), <math display="inline"><semantics> <mrow> <msubsup> <mi mathvariant="normal">N</mi> <mrow> <mi>laser</mi> </mrow> <mi>incident</mi> </msubsup> <mo>=</mo> <mn>1.245</mn> </mrow> </semantics></math> kW (4).</p>
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<p>Front surface of graphite samples: before exposure (1); tested in nitrogen plasma flow at constant RF generator power <math display="inline"><semantics> <mrow> <msub> <mi>N</mi> <mrow> <mi>a</mi> <mi>p</mi> </mrow> </msub> <mo>=</mo> <mn>70</mn> </mrow> </semantics></math> kW without laser heating (2) and with laser heating <math display="inline"><semantics> <mrow> <msubsup> <mi mathvariant="normal">N</mi> <mrow> <mi>laser</mi> </mrow> <mi>incident</mi> </msubsup> <mo>=</mo> <mn>0.615</mn> </mrow> </semantics></math> kW (3), <math display="inline"><semantics> <mrow> <msubsup> <mi mathvariant="normal">N</mi> <mrow> <mi>laser</mi> </mrow> <mi>incident</mi> </msubsup> <mo>=</mo> <mn>1.245</mn> </mrow> </semantics></math> kW (4).</p>
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<p>Surface recession in the front area of graphite samples divided by the maximum value in the test series as a function of temperature.</p>
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<p>Pressure and range of maximum heat fluxes in the presented experiments compared to values for different planetary mission entry vehicles [<a href="#B53-plasma-08-00009" class="html-bibr">53</a>].</p>
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23 pages, 674 KiB  
Systematic Review
Wildfire and Smoke Risk Communication: A Systematic Literature Review from a Health Equity Focus
by Sofia Sandoval, Jessica Bui and Suellen Hopfer
Int. J. Environ. Res. Public Health 2025, 22(3), 368; https://doi.org/10.3390/ijerph22030368 - 3 Mar 2025
Viewed by 311
Abstract
Effective wildfire smoke risk and evacuation communication is urgently needed to avert unnecessary deaths as wildfires increase in frequency and intensity. Human exposure to wildfires has doubled in the last two decades. Low-income, marginalized communities are the most disadvantaged in their ability to [...] Read more.
Effective wildfire smoke risk and evacuation communication is urgently needed to avert unnecessary deaths as wildfires increase in frequency and intensity. Human exposure to wildfires has doubled in the last two decades. Low-income, marginalized communities are the most disadvantaged in their ability to respond. A systematic literature review of wildfire and wildfire smoke risk communication research between 2014 and 2024 was conducted. Web of Science and Scopus databases were searched using the keywords “wildfire”, “communication”, “wildfire smoke”, “risk”, and “public health”, resulting in 23 studies. The findings revealed marginalized communities were ill-prepared to respond to wildfires and take protective action against wildfire smoke. The findings were summarized across eight areas: the needs of marginalized communities to respond to wildfires, the role of trusted messengers to disseminate wildfire and smoke risk messaging, using diverse channels, timing and frequency considerations for disseminating messages, time-sensitive evacuation versus wildfire smoke risk messaging, targeted messaging for subgroups, the importance of coordinating messages across agencies and local government, and government perspective. Theory did not guide these research efforts with the exception of one study, and most studies were qualitative. The literature did not report on distinguishing indoor from outdoor protective action against smoke risk, reaching vulnerable communities such as nursing and older adult facilities, and postfire messaging. Evidence is needed on these fronts, along with experimental messaging studies to determine the most persuasive messages for motivating protective actions against wildfire and smoke risk. Full article
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<p>PRISMA flow chart [<a href="#B22-ijerph-22-00368" class="html-bibr">22</a>].</p>
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16 pages, 3240 KiB  
Article
Xylooligosaccharides from Barley Malt Residue Produced by Microwave-Assisted Enzymatic Hydrolysis and Their Potential Uses as Prebiotics
by Shah Zaib Fareed, Pipat Tangjaidee, Tabkrich Khumsap, Wannaporn Klangpetch, Suphat Phongthai, Apinun Kanpiengjai, Chartchai Khanongnuch and Kridsada Unban
Plants 2025, 14(5), 769; https://doi.org/10.3390/plants14050769 - 3 Mar 2025
Viewed by 234
Abstract
Barley malt residue (BMR) was subjected to microwave-assisted enzymatic hydrolysis to evaluate its potential as a raw material to produce xylooligosaccharides (XOS) suitable for use as a prebiotic. The influent factors on XOS production, microwave power, exposure time, and xylanase dosage were ascertained [...] Read more.
Barley malt residue (BMR) was subjected to microwave-assisted enzymatic hydrolysis to evaluate its potential as a raw material to produce xylooligosaccharides (XOS) suitable for use as a prebiotic. The influent factors on XOS production, microwave power, exposure time, and xylanase dosage were ascertained with response surface methodology based on Box–Behnken design (BBD). The fitted models of XOS and xylose yields were in good agreement with the experimental results. Using a microwave power of 1235.1 W, a 6 min exposure time, and a xylanase concentration of 89.12 U/g substrate gave the highest yield of XOS: 208.05 mg/g substrate at 4 h of enzyme incubation time. Based on the product composition, BMR-XOS purification by Saccharomyces cerevisiae treatment was superior to the process of activated carbon adsorption and ethanol precipitation treatment and was selected for further experiments. Thin-Layer Chromatography (TLC) and high-performance liquid chromatography (HPLC) clearly elucidated the oligosaccharide compositions, and the result of Fourier Transform Infrared Spectroscopy (FTIR) confirms the molecular structure and sugar components of achieved BMR-XOS. In vitro fermentation of BMR-XOS obtained from this study by the selected probiotics, Lactococcus lactis TISTR 1401, Levicaseibacillus brevis FS 2.1, Lactobacillus casei TISTR 1463, showed similar prebiotic activity compared with the commercial XOS, galactooligosaccharides (GOS), xylose, and glucose (control). In conclusion, the present study was successful in establishing the use of barley malt residue for the extraction of xylan and XOS, which could be further used as a prebiotic. Full article
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<p>Response surface plot of xylooligosaccharide production from barley malt residue after 4 h enzyme incubation, showing the relationship between microwave power and exposure time (<b>A</b>), microwave power and xylanase enzyme concentration (<b>B</b>), and xylanase enzyme concentration and exposure time (<b>C</b>).</p>
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<p>Response surface plot of xylooligosaccharide production from barley malt residue after 12 h enzyme incubation, showing the relationship between microwave power and exposure time (<b>A</b>), microwave power and xylanase enzyme concentration (<b>B</b>), and xylanase enzyme concentration and exposure time (<b>C</b>).</p>
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<p>Scanning electron microscopy (SEM) analysis of the surface of raw barley malt residue (<b>A</b>); microwave-pretreated barley malt residue (<b>B</b>); and microwave-assisted enzymatic hydrolysis of barley malt residue (<b>C</b>). The porous structure is indicated by the red arrows.</p>
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<p>TLC chromatogram of BMR in comparison to the sugar components after treatments. S: standard mixture of glucose (G) and xylose (X); AM: microwave treatment; AE, enzyme hydrolysis; AEtOH, ethanol treatment; AScer: <span class="html-italic">Saccharomyces cerevisiae</span> treatment; 5%: 5% activated carbon treatment; 10%: 10% activated carbon treatment.</p>
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<p>FTIR spectra of BMR-XOS, commercial-XOS, inulin, GOS, and xylose.</p>
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