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12 pages, 902 KiB  
Article
A Multi-Mediation Analysis of the Association between Adverse Childhood Experiences and Non-Suicidal Self-Injury among South African Adolescents
by Steven J. Collings and Sachet R. Valjee
Int. J. Environ. Res. Public Health 2024, 21(9), 1221; https://doi.org/10.3390/ijerph21091221 (registering DOI) - 17 Sep 2024
Abstract
The available research findings suggest that non-suicidal self-injury (NSSI) constitutes an important public health issue, with identified risk factors for NSSI having been found to include exposure to adverse childhood experiences (ACEs) and comorbidity with various mental disorders. However, the available findings have, [...] Read more.
The available research findings suggest that non-suicidal self-injury (NSSI) constitutes an important public health issue, with identified risk factors for NSSI having been found to include exposure to adverse childhood experiences (ACEs) and comorbidity with various mental disorders. However, the available findings have, for the most part, been based on the experiences of individuals living in predominantly high-income countries located in the Global North, and it is not clear whether these findings can be confidently generalised to individuals living in low-resourced countries. As such, this cross-sectional study assessed risk factors for NSSI in a non-clinical sample of 636 South African adolescents (12–18 years old), with the data being analysed using a multi-mediation analysis. ACEs were assessed using a revised version of the ACEs Questionnaire, and NSSI was assessed using items adapted from the Self-Harm subscale of the Risk-Taking and Self-Harm Inventory for Adolescents, with emotion dysregulation, depression, and PTSD being considered as possible mediators. High prevalence rates for NSSI and exposure to five or more ACEs were reported by the participants, with the mediation analysis indicating that significant direct effects of adverse childhood experiences on NSSI were partially mediated by emotion dysregulation. These findings are discussed with respect to their implications for primary, secondary, and tertiary prevention. Full article
(This article belongs to the Special Issue Childhood Violence: Risks, Consequences, and Prevention Strategies)
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<p>Conceptual model informing the research.</p>
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<p>The results of the mediation analysis. The pathways between variables are indicated by standardised beta estimates. * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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15 pages, 4140 KiB  
Article
Evaluation of the Impact of Infusion Set Design on the Particulate Load Induced by Vancomycin–Piperacillin/Tazobactam Incompatibility
by Laura Négrier, Bertrand Décaudin, Anthony Treizebré, Marie Guilbert, Pascal Odou and Anthony Martin Mena
Pharmaceuticals 2024, 17(9), 1222; https://doi.org/10.3390/ph17091222 (registering DOI) - 17 Sep 2024
Abstract
Introduction: Drug incompatibilities are among the most common medication errors in intensive care units. A precipitate can form and block the catheter or cause an adverse event in the patient. Intensive care units have implemented various strategies for limiting the occurrence of these [...] Read more.
Introduction: Drug incompatibilities are among the most common medication errors in intensive care units. A precipitate can form and block the catheter or cause an adverse event in the patient. Intensive care units have implemented various strategies for limiting the occurrence of these incompatibilities, which have already been studied in vitro under standardized conditions. The objective of the present in vitro study was to continue these assessments by determining the impact of the infusion line geometry and the drugs’ position in the infusion set-up on the prevention of vancomycin–piperacillin/tazobactam incompatibility. Methods: Infusion lines with a different common volume, a multilumen medical infusion device, a dilute vancomycin solution, and separate infusions of incompatible drugs were evaluated separately. The infusion line outlet was connected to a dynamic particle counter. Results: Reducing the common volume, using multilumen medical devices, or spacing out the two incompatible drugs on the infusion line did not prevent the occurrence of a significant particulate load. Only dilution of the vancomycin solution was associated with a significantly lower particulate load and the absence of drug incompatibility. Conclusions: Our results show that under specific conditions, it is possible to reduce particulate contamination considerably. Full article
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<p>Impact of the type of infusion set-up (set-ups A, B, C, D, E, F, G, and H) on the particle count (particles ≥ 10 µm in (<b>A</b>) and particles ≥ 25 µm in (<b>B</b>)) during the 4.5 h simulated infusion. The results are expressed as the median (range). In a Mann–Whitney test, set-ups B to H were compared with the standard set-up (set-up A): * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 (n = 5). In a Mann–Whitney test, set-ups G and H were compared with set-up B: * <span class="html-italic">p</span> &lt; 0.05 (n = 5).</p>
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<p>Influence of the length and internal diameter of the extension set on the total particle count during the infusion for (<b>A</b>) set-up A (in red) and set-up B (in blue), (<b>B</b>) set-up A (in red), set-up C (in dark green), and set-up D (in pale purple). The dotted lines correspond to the start and the end of the PT infusion (t = 30 min and t = 2.5 h, respectively). The results are expressed as the mean ± SD, n = 5.</p>
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<p>Influence of the use of a multilumen infusion device on the particle count. The change over time in the particle count is shown for the standard set-up A (in red) and the multilumen set-up E (in green). The dotted lines correspond to the start and the end of the PT infusion (t = 30 min and t = 2.5 h, respectively). The results are expressed as the mean ± SD, n = 5.</p>
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<p>Influence of the length of tubing between the vancomycin line and the PT line on the particle count. (<b>A</b>) The particle count as a function of the infusion time for set-up A (in red), set-up G (in green), and set-up H (in blue). (<b>B</b>) The particle count as a function of the infusion time for set-up B (in red), set-up G (in green), and set-up H (in blue). The dotted lines correspond to the start and the end of the PT infusion (t = 30 min and t = 2.5 h, respectively). The results are expressed as the mean ± standard deviation, n = 5. (<b>C</b>,<b>D</b>) Visual observation of the infusion lines. The absence of visible precipitate during a VPT co-infusion in the set-up G (<b>C</b>). The presence of visible precipitate during a VPT co-infusion in the set-up H (<b>D</b>).</p>
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<p>(<b>A</b>) Influence of the V solution concentration on the particle count as a function of the infusion time for set-ups A (in red) and F (in green). The dotted lines correspond to the start and the end of the PT infusion (t = 30 min and t = 2.5 h, respectively). The results are expressed as the mean ± standard deviation, n = 5. (<b>B</b>,<b>C</b>) Impact of the choice of infusion set or protocol on the particle count. Comparisons of the particle count ≥ 10 µm (<b>B</b>) and the particle count ≥ 25 µm (<b>C</b>) in the various infusion sets and protocols (set-ups B, C, D, E, F, G, and H). All the set-ups were compared with the set-up F (containing 5.95 mg/mL V). The results are expressed as the median (range). * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 in a Mann–Whitney test, n = 5.</p>
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<p>Timeline for the in vitro infusion of vancomycin and piperacillin/tazobactam.</p>
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<p>Representation of the standard manifold infusion set (200 cm tubing with 2.5 mm diameter) (<b>A</b>) and other infusion sets: 50 cm tubing with a 2.5 mm internal diameter (<b>B</b>), 200 cm tubing with a 1 mm internal diameter (<b>C</b>), 50 cm tubing with a 1 mm internal diameter (<b>D</b>), a multilumen device (<b>E</b>), the manifold infusion set with diluted V (<b>F</b>), the manifold infusion set with infusion of PT far from the manifold (<b>G</b>), and the manifold infusion set with infusion of V far from the manifold (<b>H</b>). The blue arrows represent the direction of infusion flow.</p>
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16 pages, 7214 KiB  
Article
Research on Water Content Spatial Distribution Pattern of Fine—Grained Sediments in Debris Flow—Taking Beichuan Debris Flow as a Case
by Qinjun Wang, Jingjing Xie, Jingyi Yang, Peng Liu, Wentao Xu, Boqi Yuan and Chaokang He
Water 2024, 16(18), 2640; https://doi.org/10.3390/w16182640 (registering DOI) - 17 Sep 2024
Abstract
Due to being lightweight, fine-grained sediments easily flow with water and thus amplify the destructive effect of debris flow hazards. In such hazards, water content and shear strength are key inter-controlled factors relating to the stability of fine-grained sediments and thus control the [...] Read more.
Due to being lightweight, fine-grained sediments easily flow with water and thus amplify the destructive effect of debris flow hazards. In such hazards, water content and shear strength are key inter-controlled factors relating to the stability of fine-grained sediments and thus control the density, scale, and danger of debris flow hazards. Although the correlation between water content and sediment stability has been studied, there are still some issues to be solved: what is the changing trend of shear strength with increasing water content? What is the water content spatial distribution pattern of fine-grained sediments in debris flow? What is the role/impact of this pattern on debris flow hazards prevention? Therefore, the objective of this research is to show the spatial distribution pattern of water content and establish a correlation between the water content and the shear strength of fine-grained sediments to provide a scientific basis for debris flow hazard prevention. Taking the Beichuan debris flow for our study, with a length of 37.6 km, and a 341 km2 study area, the results show that (1) the average water content shows an increasing trend, from 9.9% in the upstream of the river (SP01–SP05) to 21.7% in the downstream of the river (SP13–SP15). (2) When unsaturated, the correlation between the water content and shear strength is determined by combining the cohesion, normal stress, and internal friction angle; when saturated, the water content is negatively correlated with shear strength. (3) Water content and shear strength are the key inter-controlled factors relating to the stability of fine-grained sediments, and the water content distribution pattern of this research indicates the key locations that require attention: locations with high water content in the downstream river or with high curvature, which is of some significance for debris flow hazard prevention. Full article
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<p>Study area (<b>left</b>) and its location in western China (<b>right</b>).</p>
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<p>Geological map of the study area.</p>
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<p>Average cohesion box diagram.</p>
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<p>Electric constant temperature drying oven.</p>
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<p>Principle of the ZJ strain-controlled direct shear instrument.</p>
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<p>Microtrac S3500 laser grain size analyzer.</p>
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<p>Spatial distribution pattern of the average water content with error bars (dotted line is the trend line).</p>
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<p>Correlation between the average water content and average cohesion in unsaturated fine-grained sediments (dotted line is the trend line).</p>
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<p>Simulated correlation coefficient between water content and shear strength (R) with the increase in normal stress in unsaturated fine-grained sediments.</p>
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30 pages, 7295 KiB  
Article
The Impact of Yoyo Dieting and Resistant Starch on Weight Loss and Gut Microbiome in C57Bl/6 Mice
by Kate Phuong-Nguyen, Martin O’Hely, Greg M. Kowalski, Sean L. McGee, Kathryn Aston-Mourney, Timothy Connor, Malik Q. Mahmood and Leni R. Rivera
Nutrients 2024, 16(18), 3138; https://doi.org/10.3390/nu16183138 (registering DOI) - 17 Sep 2024
Abstract
Cyclic weight loss and subsequent regain after dieting and non-dieting periods, a phenomenon termed yoyo dieting, places individuals at greater risk of metabolic complications and alters gut microbiome composition. Resistant starch (RS) improves gut health and systemic metabolism. This study aimed to investigate [...] Read more.
Cyclic weight loss and subsequent regain after dieting and non-dieting periods, a phenomenon termed yoyo dieting, places individuals at greater risk of metabolic complications and alters gut microbiome composition. Resistant starch (RS) improves gut health and systemic metabolism. This study aimed to investigate the effect of yoyo dieting and RS on the metabolism and gut microbiome. C57BL/6 mice were assigned to 6 diets for 20 weeks, including control, high fat (HF), yoyo (alternating HF and control diets every 5 weeks), control with RS, HF with RS, and yoyo with RS. Metabolic outcomes and microbiota profiling using 16S rRNA sequencing were examined. Yoyo dieting resulted in short–term weight loss, which led to improved liver health and insulin tolerance but also a greater rate of weight gain compared to continuous HF feeding, as well as a different microbiota profile that was in an intermediate configuration between the control and HF states. Mice fed HF and yoyo diets supplemented with RS gained less weight than those fed without RS. RS supplementation in yoyo mice appeared to shift the gut microbiota composition closer to the control state. In conclusion, yoyo dieting leads to obesity relapse, and increased RS intake reduces weight gain and might help prevent rapid weight regain via gut microbiome restoration. Full article
(This article belongs to the Special Issue Targeting the Gut Microbiota in Metabolic Disease)
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<p>Diet treatments. Male and female mice were exposed to 6 diets for 20 weeks, including combinations of control and high-fat (HF) diets with and without resistant starch (RS).</p>
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<p>Body weight change in male (<b>A</b>) and female mice (<b>B</b>). Weight change of mice fed control (blue), HF (red), yoyo (green), control RS (purple), HF RS (yellow), and yoyo RS (black) diets. RS supplemented in an HF diet (HF RS) significantly lowered body weight change in male mice compared to an HF diet alone, but no significant difference was observed in female mice. <span class="html-italic">n</span> = 7–8/group/sex; statistic at week 20 <span class="html-italic">p</span> ≤ 0.05 versus <sup>a</sup> control, <sup>b</sup> control RS, <sup>c</sup> HF RS, <sup>d</sup> yoyo, and <sup>e</sup> yoyo RS mice. HF—high fat; RS—resistant starch.</p>
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<p>Rate of weight regain of male and female mice in high-fat and yoyo groups, supplemented with and without resistant starch, during two non-restricted (high-fat) feeding periods: Phase 1 (weeks 0–5) and Phase 2 (10–15). The weight of each animal is represented by an individual coloured line. The difference in the rate of weight gain between the 2 phases was identified as the difference in the average slopes of the same-coloured lines in Phase 1 and Phase 2. Bold blue solid lines indicate the average rate of weight gain/loss in Phase 1 and Phase 2 per diet group, respectively. In male mice, across the two HF feeding phases, yoyo mice had a significantly greater rate of weight gain compared to HF mice. RS supplementation in HF and yoyo diets (HF RS and yoyo RS) resulted in significantly lower rates of weight gain compared to diets supplemented with no RS. In female mice, across the two HF feeding phases, HF and yoyo mice had similar rates of weight gain. RS supplementation did not affect the rate of weight gain in female mice. HF—high-fat diet; RS—resistant starch.</p>
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<p>Fat mass. Gonadal fat (<b>A</b>). Perirenal fat (<b>B</b>). RS supplemented in an HF diet (HF RS) resulted in a significant reduction in fat mass in male mice compared to an HF diet alone, but no significant difference was observed in female mice. * <span class="html-italic">p</span> ≤ 0.05, *** <span class="html-italic">p</span> ≤ 0.001, **** <span class="html-italic">p</span> ≤ 0.0001, with <span class="html-italic">n</span> = 7–8/group/sex.</p>
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<p>Indices of liver health. Liver mass (<b>A</b>). Liver triglycerides (<b>B</b>). Hepatocyte ballooning images of male mice using haematoxylin and eosin staining (<b>C</b>–<b>H</b>). Hepatocyte ballooning (<b>I</b>). RS supplementation in an HF diet (HF RS) significantly improved the liver health of male mice compared to an HF diet only, but no significant difference was observed in female mice. * <span class="html-italic">p</span> ≤ 0.05, *** <span class="html-italic">p</span> ≤ 0.001, **** <span class="html-italic">p</span> ≤ 0.0001, <span class="html-italic">n</span> = 7–8/group/sex. Scale bar = 150 µm. RS: resistant starch.</p>
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<p>Metabolic measurements. Blood glucose during an oral glucose tolerance test (<b>A</b>). Plasma insulin during an oral glucose tolerance test (<b>B</b>). Blood glucose during an insulin tolerance test (<b>C</b>). RS supplementation in an HF diet (HF RS) resulted in a significantly improved insulin tolerance in male mice compared to an HF diet alone, but no significant difference was observed in female mice. * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, *** <span class="html-italic">p</span> ≤ 0.001, and **** <span class="html-italic">p</span> ≤ 0.0001 used to determine significance, with <span class="html-italic">n</span> = 7–8/group/sex. AUC: area under the curve.</p>
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<p>Short-chain fatty acid levels. n-Butyrate (<b>A</b>). Propionate (<b>B</b>). No change in SCFA levels across diet groups. <span class="html-italic">n</span> = 7–8/group/sex.</p>
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<p>Relative abundance. Stacked column charts representing the relative abundance of amplicon sequence variants (ASVs) at the taxonomic level of the phylum. The visualisation of ASV data displays the gut microbiota of male and female mice consuming 6 different diets in weeks 15 and 20. Diets supplemented with RS were associated with a higher relative abundance of Actinobacteria. HF: high fat. RS: resistant starch.</p>
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<p>Alpha diversity. Fisher’s and Shannon’s diversity indices of faecal samples of male (<b>A</b>) and female mice (<b>B</b>) in week 15 and week 20. The median is illustrated by the horizontal line inside the box. The lowest and highest values within 1.5 times the interquartile range from the 1st and 3rd quartiles, respectively, are illustrated by whiskers. * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, with <span class="html-italic">n</span> = 6–8/group/sex. Boxes represent the interquartile range between the first and third quartiles. The horizontal line inside the box illustrates the median. Solid dots (●) outside the whiskers indicate greater than 1.5 times and less than 3 times the interquartile range. Graphs were generated from raw and untrimmed data. HF—high-fat diet; RS—resistant starch.</p>
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<p>Principal coordinate analysis (PCoA)—beta diversity. Bray–Curtis ordination plot showing the dissimilarity of the gut microbiota from mice fed six different diets at two time points (weeks 15 and 20). The microbiota profiles of different dietary treatments are represented by different colours: blue (control), purple (control RS), red (HF), yellow (HF RS), green (yoyo), and black (yoyo RS). Solid arrows represent female mice, and arrows with dashed lines represent male mice. The tail of an arrow indicates microbiota composition in week 15, while the tip of an arrow indicates microbiota composition in week 20. RS—resistant starch; HF—high fat.</p>
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<p>Differentially abundant genera in male mice. Only genera that were significantly different in relative abundance (FDR ≤ 0.01) are shown in the plot, with log2FoldChange estimated by DESeq2. RS—resistant starch; HF—high fat; W—week.</p>
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<p>Differentially abundant genera in female mice. Only genera that were significantly different in relative abundance (FDR ≤ 0.01) are shown in the plot, with log2FoldChange estimated by DESeq2. RS—resistant starch; HF—high fat; W—week.</p>
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14 pages, 2529 KiB  
Brief Report
Clonostachys rosea, a Pathogen of Brown Rot in Gastrodia elata in China
by Huan Yao, Kang Liu, Lei Peng, Touli Huang, Jinzhen Shi, Beilin Sun and Juan Zou
Biology 2024, 13(9), 730; https://doi.org/10.3390/biology13090730 (registering DOI) - 17 Sep 2024
Abstract
Gastrodia elata, commonly known as Tian Ma, is a perennial mycoheterotrophic orchid. Qianyang Tian Ma (QTM), a geographical indication agricultural product from Hongjiang City, Hunan Province, China, is primarily characterized by the red variety, G. elata f. elata. A severe outbreak [...] Read more.
Gastrodia elata, commonly known as Tian Ma, is a perennial mycoheterotrophic orchid. Qianyang Tian Ma (QTM), a geographical indication agricultural product from Hongjiang City, Hunan Province, China, is primarily characterized by the red variety, G. elata f. elata. A severe outbreak of tuber brown rot disease was documented in QTM during the harvesting season in Hunan. The fungal pathogen associated with the disease was isolated on potato saccharose agar (PSA) and identified through morphological and phylogenetic analyses. Pathogenicity tests were performed on healthy tubers of G. elata f. elata. The results showed that the representative isolate, named TMB, produced white hyphal colonies with a ring structure, broom-like phialides, partially curved ellipsoidal conidia, and orange–yellow spherical ascocarps on PSA. Phylogenetic analysis of the ITS, LSU, rpb2 and tub2 sequences using Bayesian and maximum-likelihood methods identified the isolate TMB as Clonostachys rosea, based on morphological and phylogenetic data. Pathogenicity tests revealed typical disease symptoms on healthy G. elata tubers 15 days post-inoculation with the isolate TMB. C. rosea is known to cause diseases in economically important crops, but there are no reports of its occurrence on G. elata f. elata in China. This study provides valuable insights into the occurrence, prevention, and control of brown rot disease in G. elata f. elata. Full article
(This article belongs to the Special Issue Advances in Research on Diseases of Plants)
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<p>Brown rot disease in QTM. (<b>A</b>) Pathogen-contaminated fungal material spreading disease to QTM (as indicated by the red arrows); (<b>B</b>) infected QTM; (<b>C</b>,<b>D</b>) internal anatomical sections of diseased QTM.</p>
Full article ">Figure 1 Cont.
<p>Brown rot disease in QTM. (<b>A</b>) Pathogen-contaminated fungal material spreading disease to QTM (as indicated by the red arrows); (<b>B</b>) infected QTM; (<b>C</b>,<b>D</b>) internal anatomical sections of diseased QTM.</p>
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<p>Morphological characteristics of the representative isolate TMB. (<b>A</b>) Colonies cultured on PSA medium for 25 days, showing both front and reverse views; (<b>B</b>) hyphal ring structure; (<b>C</b>) hyphal morphology; (<b>D</b>) primary (Verticillium-like) conidiophores and conidia; (<b>E</b>) conidial morphology; (<b>F</b>) aggregated perithecia grown on a PSA plate; (<b>G</b>) perithecium structure; (<b>H</b>) asci; (<b>I</b>,<b>J</b>) ascospores. Scale bar: (<b>A</b>) = 10 mm; (<b>B</b>–<b>D</b>,<b>G</b>,<b>H</b>) = 20 μm; (<b>E</b>,<b>F</b>,<b>I</b>) = 10 μm; (<b>J</b>) = 5 μm.</p>
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<p>A phylogenetic tree was generated using Bayesian inference and maximum-likelihood analyses of the combined ITS + LSU + <span class="html-italic">rpb2</span> + <span class="html-italic">tub2</span> dataset. Branch support values (ML/BI) are indicated for nodes with more than 50% bootstrap support and Bayesian posterior probabilities (BPPs) exceeding 0.70. Isolates in this study are highlighted in bold type and marked with a red asterisk.</p>
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<p>Pathogenicity test of the isolate TMB on <span class="html-italic">G. elata</span> tubers. (<b>A</b>,<b>B</b>) The control tuber was inoculated with sterile water; (<b>C</b>) healthy tuber before inoculation with conidia of <span class="html-italic">C. rosea</span>; (<b>D</b>,<b>E</b>) healthy tuber inoculated with conidia of <span class="html-italic">C. rosea</span> after 15 days. Scale bar = 1 cm.</p>
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14 pages, 3650 KiB  
Article
A Study on Network Anomaly Detection Using Fast Persistent Contrastive Divergence
by Jaeyeong Jeong, Seongmin Park, Joonhyung Lim, Jiwon Kang, Dongil Shin and Dongkyoo Shin
Symmetry 2024, 16(9), 1220; https://doi.org/10.3390/sym16091220 (registering DOI) - 17 Sep 2024
Abstract
As network technology evolves, cyberattacks are not only increasing in frequency but also becoming more sophisticated. To proactively detect and prevent these cyberattacks, researchers are developing intrusion detection systems (IDSs) leveraging machine learning and deep learning techniques. However, a significant challenge with these [...] Read more.
As network technology evolves, cyberattacks are not only increasing in frequency but also becoming more sophisticated. To proactively detect and prevent these cyberattacks, researchers are developing intrusion detection systems (IDSs) leveraging machine learning and deep learning techniques. However, a significant challenge with these advanced models is the increased training time as model complexity grows, and the symmetry between performance and training time must be taken into account. To address this issue, this study proposes a fast-persistent-contrastive-divergence-based deep belief network (FPCD-DBN) that offers both high accuracy and rapid training times. This model combines the efficiency of contrastive divergence with the powerful feature extraction capabilities of deep belief networks. While traditional deep belief networks use a contrastive divergence (CD) algorithm, the FPCD algorithm improves the performance of the model by passing the results of each detection layer to the next layer. In addition, the mix of parameter updates using fast weights and continuous chains makes the model fast and accurate. The performance of the proposed FPCD-DBN model was evaluated on several benchmark datasets, including NSL-KDD, UNSW-NB15, and CIC-IDS-2017. As a result, the proposed method proved to be a viable solution as the model performed well with an accuracy of 89.4% and an F1 score of 89.7%. By achieving superior performance across multiple datasets, the approach shows great potential for enhancing network security and providing a robust defense against evolving cyber threats. Full article
(This article belongs to the Special Issue Information Security in AI)
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<p>Structure of deep belief network.</p>
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<p>Visualization of the NSL-KDD dataset using t-SNE.</p>
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<p>Visualization of the UNSW-NB15 dataset using t-SNE.</p>
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<p>Visualization of the CIC-IDS-2017 dataset using t-SNE.</p>
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<p>AUROC values measured for the NSL-KDD dataset.</p>
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<p>AUROC values measured for the UNSW-NB15 dataset.</p>
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<p>AUROC values measured for the CIC-IDS-2017 dataset.</p>
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19 pages, 9085 KiB  
Article
Testing, Validation, and Simulation of a Novel Economizer Damper Control Strategy to Enhance HVAC System Efficiency
by Pasidu Dharmasena and Nabil Nassif
Buildings 2024, 14(9), 2937; https://doi.org/10.3390/buildings14092937 (registering DOI) - 17 Sep 2024
Abstract
Buildings account for over 40% of global carbon dioxide (CO2) emissions, with supply and return fans in air handling units consuming a significant portion of energy. To address this, researchers have explored innovative economizer damper control methods and identified the “split-signal” [...] Read more.
Buildings account for over 40% of global carbon dioxide (CO2) emissions, with supply and return fans in air handling units consuming a significant portion of energy. To address this, researchers have explored innovative economizer damper control methods and identified the “split-signal” strategy, which optimizes supply airflow using a single damper as a promising approach. In this study, split-signal was further refined for practical application and energy simulation, aiming to demonstrate its effectiveness and encourage adoption in real-world building mechanical systems. Laboratory testing on chilled water variable air volume (VAV) system showed fan energy savings of 0.2–5% compared to traditional “three-coupled” control, depending on ventilation air proportions, and prevented reverse airflow. A statistical regression model, based on experimental data, was developed to predict energy savings and streamline comparisons. Energy simulations were conducted across various U.S. climate zones and revealed potential savings of 15–20% in energy use, operational costs, and CO2 emissions. With minimal financial investment, split-signal control offers a cost-effective solution to improve energy efficiency and reduce environmental impact, promoting its adoption in real-world building applications. Full article
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<p>Annual global CO<sub>2</sub> emissions [<a href="#B3-buildings-14-02937" class="html-bibr">3</a>].</p>
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<p>Schematic of air handling unit with key variables.</p>
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<p>Laboratory experiment.</p>
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<p>Schematic of HVAC system operation.</p>
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<p>BAS interface of chilled water VAV system.</p>
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<p>Layouts of the modeled building.</p>
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<p>Building occupancy, lighting, and equipment schedule on weekdays.</p>
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<p>Modeled fan power comparison of damper control strategies (W).</p>
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<p>Mixed air static pressure analysis (in.wg).</p>
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<p>Comparison of mixed and duct static pressure due to damper controls (in.wg).</p>
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<p>Ventilation air flow rate comparison (cfm).</p>
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<p>Identifying pressure readings.</p>
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<p>Multiple linear regression plots for training data set.</p>
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<p>Multiple linear regression plots for testing data set.</p>
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<p>Analysis of energy usage in each building location due to investigated economizer damper controls (kWh).</p>
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<p>Electricity cost analysis for supply fan energy consumption in each location (USD).</p>
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<p>CO<sub>2</sub> emission analysis for each location (kgCO<sub>2</sub>e).</p>
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23 pages, 885 KiB  
Article
Sexual Violence against Adults Aged 50 Years and Older and Implications for Prevention: A Thematic Analysis of Service Providers’ Perceptions
by Michelle D. Hand, Mo Yee Lee, Michelle L. Kaiser, Cecilia Mengo and Holly Dabelko-Schoeny
Int. J. Environ. Res. Public Health 2024, 21(9), 1220; https://doi.org/10.3390/ijerph21091220 (registering DOI) - 17 Sep 2024
Abstract
At-risk older adults and older survivors of sexual violence (SV) remain largely absent from SV prevention and intervention, owing to ageism and sexism, as well as other intersectional forms of prejudice, including among service providers (e.g., social workers, healthcare professionals, practitioners in SV [...] Read more.
At-risk older adults and older survivors of sexual violence (SV) remain largely absent from SV prevention and intervention, owing to ageism and sexism, as well as other intersectional forms of prejudice, including among service providers (e.g., social workers, healthcare professionals, practitioners in SV organizations, and practitioners who serve older adults). This study explored perceptions, knowledge and experiences with SV against adults 50 years and older. Service providers who work with older adults and/or survivors were recruited, owing to where SV in later life is reported (e.g., healthcare, long-term care, and social service organizations, and to police in addition to SV service organizations), to contribute to the limited research in this area and to advance prevention and intervention. A survey was conducted on SV in later life, exploring knowledge, perceptions and experiences with SV in later life along with potential solutions for prevention and intervention among 126 service providers who worked with survivors and/or older adults. Their responses were thematically analyzed. Five themes were identified: (a) misconceptions of SV in later life and unique barriers to preventing it; (b) needs for knowledge, awareness, research and education; (c) policy and resource development; (d) victim blame and internalized stigma, and (e) ageism, intersectional prejudice and rape culture. The findings offer an in-depth understanding of barriers to prevention, and intervention, and multi-level recommendations for addressing them, which are provided by a diverse group of service providers who have worked with older adults and/or with survivors, reflecting multidisciplinary practice wisdom and experience. Full article
(This article belongs to the Special Issue Sexuality, Health, and Gender)
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<p>Open-text questions to garner qualitative data (* indicates relevance to analysis for this manuscript).</p>
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<p>Experience questions (modified from Rubenstein, 2016) [<a href="#B36-ijerph-21-01220" class="html-bibr">36</a>].</p>
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27 pages, 1358 KiB  
Review
How Protein Depletion Balances Thrombosis and Bleeding Risk in the Context of Platelet’s Activatory and Negative Signaling
by Hector Montecino-Garrido, Andrés Trostchansky, Yolanda Espinosa-Parrilla, Iván Palomo and Eduardo Fuentes
Int. J. Mol. Sci. 2024, 25(18), 10000; https://doi.org/10.3390/ijms251810000 (registering DOI) - 17 Sep 2024
Abstract
Platelets are small cell fragments that play a crucial role in hemostasis, requiring fast response times and fine signaling pathway regulation. For this regulation, platelets require a balance between two pathway types: the activatory and negative signaling pathways. Activatory signaling mediators are positive [...] Read more.
Platelets are small cell fragments that play a crucial role in hemostasis, requiring fast response times and fine signaling pathway regulation. For this regulation, platelets require a balance between two pathway types: the activatory and negative signaling pathways. Activatory signaling mediators are positive responses that enhance stimuli initiated by a receptor in the platelet membrane. Negative signaling regulates and controls the responses downstream of the same receptors to roll back or even avoid spontaneous thrombotic events. Several blood-related pathologies can be observed when these processes are unregulated, such as massive bleeding in activatory signaling inhibition or thrombotic events for negative signaling inhibition. The study of each protein and metabolite in isolation does not help to understand the role of the protein or how it can be contrasted; however, understanding the balance between active and negative signaling could help develop effective therapies to prevent thrombotic events and bleeding disorders. Full article
(This article belongs to the Section Biochemistry)
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<p>Diagram of Platelet signaling. The illustration represents a cellular signaling pathway, from a receptor’s reception by a signal, its transmission and amplification via a transducer, and the subsequent execution by an effector. Activators and inhibitors modulate the intensity of the signal, while the system’s equilibrium is preserved through positive and negative feedback mechanisms, inducing or reducing the platelet aggregation.</p>
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<p>Platelet signaling pathways are interconnected. The platelet signaling pathway is a complex network of molecules and events involved in platelet activation, secretion, shape change, aggregation, and calcium homeostasis. Proteins are rectangles, inhibitors are circles, transmembrane proteins are hexagons, and compounds are words without borders. The green background stands for activatory proteins, while the red background is for proteins from negative signaling, the red arrow represents inhibition, and the grey arrow represents normal interaction. AKT: Protein Kinase B; ASK1: Apoptosis Signal-regulating Kinase 1; C3: Complement component 3; Ca<sup>2+</sup>: Calcium; CD148: protein tyrosine phosphatase receptor type J; CD154: CD40 ligand; CD40: Tumor necrosis factor receptor superfamily member 5; CIB1: Calcium and integrin-binding protein 1; CLP36: PDZ and LIM domain protein 1; DASA: diarylsulfonamide; DCa: dichloroacetate; DHEA: dehydroepiandrosterone sulphate; Dok-1: Docking protein 1; Dok-2: Docking protein 2; ELMO1: Engulfment and cell motility protein 1; ERK: Mitogen-activated protein kinase 15; ERp57: Protein disulfide-isomerase A3; FlnA: Filamin A; Fyn: Tyrosine-protein kinase Fyn; GDF-15: Growth/differentiation factor 15; Gi: Guanine nucleotide-binding protein G(i); GPCRs: G protein-coupled receptor; GPIb: Platelet glycoprotein Ib; GPV: Platelet glycoprotein V; GPIX: Platelet glycoprotein IX; GPVI: Platelet glycoprotein VI; GRIP1: Glutamate receptor-interacting protein 1; GSK3β: Glycogen synthase kinase-3 beta; Gα(i2): Guanine nucleotide-binding protein G(i2) subunit alpha; Gα13: Guanine nucleotide-binding protein G(13) subunit alpha-1; HMGB1: High mobility group protein B1; IKKβ: Inhibitor of nuclear factor kappa-B kinase subunit beta; ILK: Integrin-linked protein kinase; iPLA2γ: Calcium-independent phospholipase A2-gamma; IκB: NF-kappa-B inhibitor alpha; JNK1: Mitogen-activated protein kinase 8; KIND3: Fermitin family homolog 3; M3BIM: benzimidazole-derived oligosaccharide; MEK: Mitogen-activated protein kinase kinase; Munc18-2: Mammalian Uncoordinated-18; P2X1: P2X purinoceptor 1; P2Y12: P2Y purinoceptor 12; p38 MAPK: Mitogen-activated protein kinase 11; Panx: Pannexin-1; PAR1: Protease-activated receptor-1; PDK1: 3-Phosphoinositide-dependent protein kinase 1; PECAM-1: Platelet and Endothelial Cell Adhesion Molecule 1; PI3K: Phosphatidylinositol 4,5-bisphosphate 3-kinase; PKA: protein kinase A; PKC: protein kinase C; PP2B: Serine/threonine-protein phosphatase 2B; PTEN: Phosphatase and tensin homolog; RAC1: Ras-related C3 botulinum toxin substrate 1; raf1: proto-oncogene c-RAF; Rap1: Ras-related protein 1; RGS 16: Regulator of G protein signaling 16; RhoA: Ras homolog family member A; RhoG: Ras homolog family member G; RIAM: Rap1–GTP-interacting adapter molecule; RIP3: Receptor-interacting protein kinase 3; ROCK: Rho-associated protein kinase; SERCA3: Sarcoplasmic/endoplasmic reticulum Calcium ATPase 3; SFK: Src kinase family; Shp2: Src homology region 2-containing protein tyrosine phosphatase 2; SNARE: SNAP Receptors; Src: Proto-oncogene tyrosine-protein kinase Src; TAIII: timosaponin A-III; TLR4/cGKI: toll-like receptor 4; TMX1: Thioredoxin-related Transmembrane Protein 1; TNFR: Tumor necrosis factor receptors; TP receptor: thromboxane receptor; TRAF3: TNF receptor-associated factor 3; TSSC6: Tumor-suppressing STF cDNA 6; TXA2: thromboxane A2; VPS33B: Vacuolar protein sorting-associated protein 33B.</p>
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16 pages, 1182 KiB  
Review
The Effect of Dietary Types on Gut Microbiota Composition and Development of Non-Communicable Diseases: A Narrative Review
by Martin Soldán, Ľubica Argalášová, Lucia Hadvinová, Bonzel Galileo and Jana Babjaková
Nutrients 2024, 16(18), 3134; https://doi.org/10.3390/nu16183134 (registering DOI) - 17 Sep 2024
Abstract
Introduction: The importance of diet in shaping the gut microbiota is well established and may help improve an individual’s overall health. Many other factors, such as genetics, age, exercise, antibiotic therapy, or tobacco use, also play a role in influencing gut microbiota. Aim: [...] Read more.
Introduction: The importance of diet in shaping the gut microbiota is well established and may help improve an individual’s overall health. Many other factors, such as genetics, age, exercise, antibiotic therapy, or tobacco use, also play a role in influencing gut microbiota. Aim: This narrative review summarizes how three distinct dietary types (plant-based, Mediterranean, and Western) affect the composition of gut microbiota and the development of non-communicable diseases (NCDs). Methods: A comprehensive literature search was conducted using the PubMed, Web of Science, and Scopus databases, focusing on the keywords “dietary pattern”, “gut microbiota” and “dysbiosis”. Results: Both plant-based and Mediterranean diets have been shown to promote the production of beneficial bacterial metabolites, such as short-chain fatty acids (SCFAs), while simultaneously lowering concentrations of trimethylamine-N-oxide (TMAO), a molecule associated with negative health outcomes. Additionally, they have a positive impact on microbial diversity and therefore are generally considered healthy dietary types. On the other hand, the Western diet is a typical example of an unhealthy nutritional approach leading to an overgrowth of pathogenic bacteria, where TMAO levels rise and SCFA production drops due to gut dysbiosis. Conclusion: The current scientific literature consistently highlights the superiority of plant-based and Mediterranean dietary types over the Western diet in promoting gut health and preventing NCDs. Understanding the influence of diet on gut microbiota modulation may pave the way for novel therapeutic strategies. Full article
(This article belongs to the Special Issue The Role of Preventive Nutrition in Cardio-Metabolic Disease)
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<p>Characteristics of three distinct dietary types. Abbreviations: SCFAs—short-chain fatty acids, TMAO—trimethylamine-N-oxide, CRC—colorectal cancer, PUFAs—polyunsaturated fatty acids, EVOO—extra virgin olive oil. Created in BioRender. Soldán, M. (2024) <a href="http://BioRender.com/a05r617" target="_blank">BioRender.com/a05r617</a> (accessed on 8 September 2024).</p>
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19 pages, 3699 KiB  
Article
Using a Triple Sensor Collocation Approach to Evaluate Small-Holder Irrigation Scheme Performances in Northern Ethiopia
by Amina Abdelkadir Mohammedshum, Ben H. P. Maathuis, Chris M. Mannaerts and Daniel Teka
Water 2024, 16(18), 2638; https://doi.org/10.3390/w16182638 (registering DOI) - 17 Sep 2024
Abstract
This study uses a triple-sensor collocation approach to evaluate the performance of small-holder irrigation schemes in the Zamra catchment of Northern Ethiopia. Crop water productivity (CWP), as an integrator of biomass production and water use, was used to compare the overall efficiencies of [...] Read more.
This study uses a triple-sensor collocation approach to evaluate the performance of small-holder irrigation schemes in the Zamra catchment of Northern Ethiopia. Crop water productivity (CWP), as an integrator of biomass production and water use, was used to compare the overall efficiencies of three types of irrigation systems: traditional and modern diversions, and dam-based irrigation water supply. Farmer-reported data often rely on observations, which can introduce human estimation and measurement errors. As a result, the evaluation of irrigation scheme performance has frequently been insufficient to fully explain crop water productivity. To overcome the challenges of using one single estimation method, we used a triple-sensor collocation approach to evaluate the efficiency of three small-scale irrigation schemes, using water productivity as an indicator. It employed three independent methods: remotely sensed data, a model-based approach, and farmer in-situ estimates to assess crop yields and water consumption. To implement the triple collocation appraisal, we first applied three independent evaluation methods, i.e., remotely sensed, model-based, and farmer in-situ estimates of crop yields and water consumption, to assess the crop water productivities of the systems. Triple-sensor collocation allows for the appraisal and comparison of estimation errors of measurement sensor systems, and enables the ranking of the estimators by their quality to represent the de-facto unknown true value, in our case: crop yields, water use, and its ratio CWP, in small-holder irrigated agriculture. The study entailed four main components: (1) collecting in-situ information and data from small-holder farmers on crop yields and water use; (2) derivation of remote sensing-based CWP from the FAO WaPOR open database and time series; (3) evaluation of biomass, crop yields and water use (evapotranspiration) using the AquaCrop model, integrating climate, soil data, and irrigation management practices; (4) performing and analysis of a categorical triple collocation analysis of the independent estimator data and performance ranking of the three sensing and small-holder irrigation systems. Maize and vegetables were used as main crops during three consecutive irrigation seasons (2017/18, 2018/19, 2019/20). Civil war prevented further field surveying, in-situ research, and data collection. The results indicate that remote sensing products are performed best in the modern and dam irrigation schemes for maize. For vegetables, AquaCrop performed best in the dam irrigation scheme. Full article
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<p>Location of the study area: (<b>a</b>) Traditional diversion, (<b>b</b>) Dam, and (<b>c</b>) Modern diversion.</p>
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<p>Overview of the approach for selecting the best crop water productivity estimation.</p>
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<p>Farmer estimation of crop water productivity during the three irrigation seasons.</p>
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<p>Crop water productivity from the WaPOR database for the three irrigation schemes (spatial resolution is 100 m).</p>
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<p>Comparison results of the AquaCrop model water productivity for maize and vegetables.</p>
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<p>Triple-sensor collocation rank for various irrigation schemes R1, R2, and R3 and mapped to blue, red, and green, respectively. If R1 and R3 are ranked the same, the color is cyan. If R1 and R2 are ranked the same, the color is purple. Ranked first for: (<b>A</b>) Maize and (<b>B</b>) Vegetables.</p>
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<p>Temperature and volumetric water content at different depths: (<b>A</b>) Gerebhiwane (5 June 2020–26 April 2021), and (<b>B</b>) Gojibere (19 May 2020–1 October 2020).</p>
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<p>Photographs of various crops captured during the field survey; all images were taken on the same day by Mehari Asfaw.</p>
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13 pages, 3420 KiB  
Article
Numerical Simulation of Maxillary Anterior Teeth Retraction Utilizing Power Arms in Lingual Orthodontic Technique
by Shaher Alhiraky, Anna Konermann, Ludger Keilig and Christoph Bourauel
J. Pers. Med. 2024, 14(9), 988; https://doi.org/10.3390/jpm14090988 (registering DOI) - 17 Sep 2024
Viewed by 18
Abstract
Aims: It was the scope of this study to explore the biomechanical implications of retraction force application point modifications in lingual orthodontics, aiming to mitigate the bowing effect and enhance anchorage stability in the anterior teeth. Methods: Using the FE method on an [...] Read more.
Aims: It was the scope of this study to explore the biomechanical implications of retraction force application point modifications in lingual orthodontics, aiming to mitigate the bowing effect and enhance anchorage stability in the anterior teeth. Methods: Using the FE method on an idealized maxillary model, en masse retraction was simulated using a modified lingual fixed appliance including edgewise lingual brackets, a 0.017″ × 0.025″ mushroom-shaped archwire, and power arms between lateral incisors and canines, with a transpalatal arch (TPA) connecting the first molars. Applying bilateral retraction forces of 1.5 N at twelve positions, initial tooth displacements during space closure were evaluated. Results: Shifting power arms gingivally did not effectively counteract palatal tipping of incisors but reduced posterior and palatal tipping of canines with a power arm length of 11.3 mm preventing posterior tipping. Apically displacing the TPA retraction force increased mesiobuccal rotation while preventing mesial molar tipping for retraction forces applied 12.6 mm from the archwire. Conclusions: Apically shifting retraction forces can mitigate vertical bowing effects in lingual orthodontics, yet it also highlights the challenges in maintaining torque in the anterior teeth. Further research and clinical validation are essential in order to confirm these results, emphasizing the complexity and need for advanced biomechanical strategies in personalized lingual orthodontic treatments. Full article
(This article belongs to the Special Issue Personalized Medicine in Dental and Oral Health)
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<p>Design of lingual brackets for the FE simulated maxillary model.</p>
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<p>FE model of the simulated maxillary situation with extracted first premolars and a modified lingual fixed appliance consisting of self-modeled edgewise lingual brackets, a mushroom-shaped archwire with two power arms between the lateral incisors and canines, and a TPA. The nodes at the base of the model were constrained in all three translational directions, as indicated by the arrows.</p>
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<p>The twelve potential positions for the retraction springs represented by red lines, determined by the four points along the power arms (4, 6, 8, and 10 mm from the archwire) and the three points along the Transpalatal Arch (TPA) (4, 6, and 8 mm from the archwire) within the FE simulated maxillary model. Each simulation was conducted with only one activated spring, symmetrically positioned on both sides of the model.</p>
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<p>Example results of an en masse retraction simulation in the sagittal and transversal plane by visualizing the initial displacements of the teeth resulting from the acting forces with the help of color coding, with PDL and bone removed from the simulation for better visualization. The most significant movements measured in millimeters are highlighted in red, followed by yellow, green, and blue, in descending order of magnitude, as indicated by the legend on the left.</p>
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<p>The rotation values in degrees (°) of teeth 11, 21 (upper row), 13, and 23 (lower row) around the <span class="html-italic">y</span>-axis plotted against the four different points of force application on the power arms (4 mm, 6 mm, 8 mm, and 10 mm) indicated on the <span class="html-italic">x</span>-axis. The results are depicted for three distinct force application points on the TPA, with corresponding color legends provided below the graphs. Each point represents an individual simulation.</p>
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<p>Rotation values in degrees (°) of teeth 16 and 26 for mesial tipping (upper row) and mesiobuccal rotation (lower row) plotted against the three different points of force application on the TPA (4 mm, 6 mm, and 8 mm) indicated on the <span class="html-italic">x</span>-axis. The results are depicted for four distinct points of force application on the power arms, with corresponding color legends provided below the graphs. Each point represents an individual simulation.</p>
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<p>PDL strain distributions in four simulations with different power arm lengths (<b>A</b>) and in three simulations with different positions on the TPA (<b>B</b>). The most pronounced strain occurrences in the PDL (in %) are shown in yellow, followed by red color coding, as indicated in the legend on the left. In these diagrams, ‘a’ denotes the anterior teeth/front, and ‘p’ denotes the posterior teeth/molars. The numbers 4, 6, 8, and 10 represent the points of force application in millimeters.</p>
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20 pages, 8870 KiB  
Article
Oil Sorption Properties of Centrifugally Spun Polyisobutylene-Based Thermoplastic Elastomer Microfibers
by József Kántor, Gusztáv Fekete and Attila Levente Gergely
Polymers 2024, 16(18), 2624; https://doi.org/10.3390/polym16182624 (registering DOI) - 17 Sep 2024
Viewed by 53
Abstract
Fiber-based sorbent materials are an essential part of containing oil spills, thus preventing ecological damage. Poly(styrene-b-isobutylene-b-styrene) thermoplastic elastomer fibers were successfully produced by centrifugal spinning. Scanning electron microscopy revealed that the fibers were bead free and smooth-surfaced, with an [...] Read more.
Fiber-based sorbent materials are an essential part of containing oil spills, thus preventing ecological damage. Poly(styrene-b-isobutylene-b-styrene) thermoplastic elastomer fibers were successfully produced by centrifugal spinning. Scanning electron microscopy revealed that the fibers were bead free and smooth-surfaced, with an average fiber diameter of 5.9 ± 2.3 μm. Contact angle measurements proved the highly hydrophobic (water contact angle of 126.8 ± 6.4°) and highly oleophilic nature of the fiber mat. The sorption and retention capacities of the fiber mat were tested for various oils and benchmarked against polypropylene as the industry standard and polystyrene, which is widely used in the literature. The oil uptake of the fiber mat showed a strong correlation with the viscosity of the oil, resulting in sorption capacities of 10.1 ± 0.8 g/g for sunflower oil, 19.9 ± 2.1 g/g for motor oil, and 23.8 ± 1.8 g/g for gear oil. Oil–water separation tests were also conducted, resulting in ~100% oil removal. The thermoplastic elastomer fiber mat outperformed the industry standard; however, the polystyrene fiber mat demonstrated the best oil sorption performance. Full article
(This article belongs to the Section Polymer Fibers)
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<p>Main components of custom-built centrifugal spinning setup.</p>
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<p>Devices for handling the specimens during oil sorption tests: (<b>a</b>) hook for the PP, (<b>b</b>) small basket for the SIBS, and (<b>c</b>) large basket for the PS.</p>
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<p>SEM micrographs of the (<b>a</b>) SIBS, (<b>b</b>) PS, and (<b>c</b>) PP fibers at ×100 magnification. (<b>d</b>) Physical appearance of the SIBS, PS, and PP fiber mats.</p>
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<p>Optical micrographs of (<b>a</b>) SIBS and (<b>b</b>) PS fibers at ×400 magnification, and (<b>c</b>) PP fibers at ×100 magnification.</p>
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<p>(<b>a</b>) Water droplet on an SIBS specimen with a CA of 131°. (<b>b</b>) Motor oil droplet on SIBS fiber mat at specific moments. (<b>c</b>) OCA progression over time on SIBS fiber mat for all oil types.</p>
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<p>SIBS (<b>a</b>–<b>d</b>), PS (<b>e</b>–<b>i</b>), and PP (<b>j</b>–<b>n</b>) specimens before and after sorption. From left to right, dry, gear oil, motor oil, sunflower oil, and diesel specimens are presented. The SIBS has no diesel sample because it dissolved.</p>
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<p>Optical micrographs of (<b>a</b>) dry SIBS fibers, SIBS fibers with a small amount of oil added at (<b>b</b>) ×100 and (<b>c</b>) ×400 magnification, and (<b>d</b>) a sample of a SIBS-motor oil specimen 4 weeks after the sorption experiment.</p>
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<p>Optical micrographs of (<b>a</b>) dry SIBS fibers, SIBS fibers with a small amount of oil added at (<b>b</b>) ×100 and (<b>c</b>) ×400 magnification, and (<b>d</b>) a sample of a SIBS-motor oil specimen 4 weeks after the sorption experiment.</p>
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<p>(<b>a</b>) Oil sorption and (<b>b</b>) desorption plots of the SIBS specimens.</p>
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<p>(<b>a</b>) Oil sorption and (<b>b</b>) desorption plots of the PS specimens.</p>
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<p>(<b>a</b>) Oil sorption and (<b>b</b>) desorption plots of the PP specimens.</p>
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<p>Oil retention values for each polymer–oil combination after 15 min desorption.</p>
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<p>(<b>a</b>) Motor oil and water used in the separation study. (<b>b</b>) SIBS specimen with the removed oil.</p>
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19 pages, 987 KiB  
Review
The Biology, Impact, and Management of Xyleborus Beetles: A Comprehensive Review
by Sared Helena Rodríguez-Becerra, Rafael Vázquez-Rivera, Karla Irazú Ventura-Hernández, Tushar Janardan Pawar and José Luis Olivares-Romero
Insects 2024, 15(9), 706; https://doi.org/10.3390/insects15090706 (registering DOI) - 17 Sep 2024
Viewed by 55
Abstract
Xyleborus beetles, a diverse group of ambrosia beetles, present challenges to forestry and agriculture due to their damaging burrowing behavior and symbiotic relationships with fungi. This review synthesizes current knowledge on the biology, ecology, and management of Xyleborus. We explore the beetles’ [...] Read more.
Xyleborus beetles, a diverse group of ambrosia beetles, present challenges to forestry and agriculture due to their damaging burrowing behavior and symbiotic relationships with fungi. This review synthesizes current knowledge on the biology, ecology, and management of Xyleborus. We explore the beetles’ life cycle, reproductive strategies, habitat preferences, and feeding habits, emphasizing their ecological and economic impacts. Control and management strategies, including preventive measures, chemical and biological control, and integrated pest management (IPM), are critically evaluated. Recent advances in molecular genetics and behavioral studies offer insights into genetic diversity, population structure, and host selection mechanisms. Despite progress, managing Xyleborus effectively remains challenging. This review identifies future research needs and highlights innovative control methods, such as biopesticides and pheromone-based trapping systems. Full article
(This article belongs to the Section Insect Pest and Vector Management)
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<p>Life cycle and reproduction of <span class="html-italic">Xyleborus</span>.</p>
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<p>Number of research articles published on <span class="html-italic">Xyleborus</span> beetles from 1980 to 2024, aggregated in 5-year periods. Data for this graph were collected from SciFinder, Web of Science, and Scopus.</p>
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14 pages, 2707 KiB  
Article
Effect of Purified Resveratrol Butyrate Ester Monomers against Hypertension after Maternal High-Fructose Intake in Adult Offspring
by You-Lin Tain, Chih-Yao Hou, Hong-Tai Tzeng, Shu-Fen Lin, Guo-Ping Chang-Chien, Wei-Chia Lee, Kay L. H. Wu, Hong-Ren Yu, Julie Y. H. Chan and Chien-Ning Hsu
Nutrients 2024, 16(18), 3132; https://doi.org/10.3390/nu16183132 (registering DOI) - 17 Sep 2024
Viewed by 46
Abstract
Background: Offspring hypertension arising from adverse maternal conditions can be mitigated through dietary nutritional supplementation, including resveratrol. Previously, we identified derivatives of resveratrol butyrate ester (RBE), specifically 3,4′-di-O-butanoylresveratrol (ED2) and 3-O-butanoylresveratrol (ED4), demonstrating their superior antioxidant capabilities compared to RBE itself. This study [...] Read more.
Background: Offspring hypertension arising from adverse maternal conditions can be mitigated through dietary nutritional supplementation, including resveratrol. Previously, we identified derivatives of resveratrol butyrate ester (RBE), specifically 3,4′-di-O-butanoylresveratrol (ED2) and 3-O-butanoylresveratrol (ED4), demonstrating their superior antioxidant capabilities compared to RBE itself. This study sought to assess the protective impact of maternal supplementation with ED2 or ED4 on offspring hypertension in a rat model subjected to a high-fructose (HF) diet during pregnancy and lactation. Methods: Female Sprague–Dawley rats were distributed into distinct dietary groups throughout pregnancy and lactation: (1) standard chow; (2) HF diet (60%); (3) HF diet supplemented with ED2 (25 mg/L); and (4) HF diet supplemented with ED4 (25 mg/L). Male offspring were euthanized at the age of 12 weeks. Results: The maternal HF diet induced hypertension in the offspring, which was mitigated by perinatal supplementation with either ED2 or ED4. These protective effects were attributed to the antioxidant properties of ED2 and ED4, resulting in an increased availability of nitric oxide (NO). Additionally, supplementation with ED2 was connected to an increased abundance of Bifidobacterium and Clostridium genera, which was accompanied by a decrease in Angelakisella and Christensenella. On the other hand, ED4 supplementation shielded rat offspring from hypertension by elevating concentrations of short-chain fatty acids (SCFAs) and their receptors while reducing trimethylamine-N-oxide (TMAO) levels. Conclusions: These findings highlight the potential of purified RBE monomers, ED2 and ED4, as preventive measures against hypertension resulting from a maternal high-fructose diet. Further research is warranted to explore their clinical applications based on these promising results. Full article
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Figure 1

Figure 1
<p>Effects of ED2 and ED4 on systolic blood pressures in offspring from week 3 to 12. Statistical analysis by a one-way ANOVA with Tukey’s post hoc test. * <span class="html-italic">p</span> &lt; 0.05 vs. ND; # <span class="html-italic">p</span> &lt; 0.05 vs. HF.</p>
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<p>Concentrations of (<b>A</b>) arginine, (<b>B</b>) asymmetric dimethylarginine (ADMA), (<b>C</b>) symmetric dimethylarginine (SDMA), and (<b>D</b>) the ratio of arginine to ADMA (AAR) in the plasma. Statistical analysis by a one-way ANOVA with Tukey’s post hoc test. * <span class="html-italic">p</span> &lt; 0.05 vs. ND; # <span class="html-italic">p</span> &lt; 0.05 vs. HF.</p>
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<p>The assessment of gut microbial community α-diversity is demonstrated in (<b>A</b>) Faith’s phylogenetic diversity (PD) index and (<b>B</b>) the Shannon index. (<b>C</b>) Principal coordinate analysis (PCoA) plots were used to visualize beta diversity, with each data point representing one sample and each color corresponding to a different group. # <span class="html-italic">p</span> &lt; 0.05 vs. HF.</p>
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<p>Linear discriminant analysis effect size (LEfSe) was employed to identify taxa that were significantly differentially abundant between groups. Taxa with a linear discriminant analysis (LDA) score greater than 3 were primarily highlighted. Statistical analysis by the Wilcoxon test.</p>
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<p>Genus-based comparison between the HF and HFED2 group showing relative abundance of (<b>A</b>) <span class="html-italic">Bifidobacterium</span>, (<b>B</b>) <span class="html-italic">Clostridium</span>, (<b>C</b>) <span class="html-italic">Angelakisella</span>, and (<b>D</b>) <span class="html-italic">Christensenella</span>. Genus-based comparison between the HF and HFED4 group showing relative abundance of (<b>E</b>) <span class="html-italic">Angelakisella</span> and (<b>F</b>) <span class="html-italic">Christensenella</span>. The dots represent the outliers. Statistical analysis by using <span class="html-italic">p</span>-values adjusted for multiple comparisons with the false discovery rate (FDR) method. * <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; 0.005.</p>
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<p>Plasma concentrations of (<b>A</b>) acetate, (<b>B</b>) propionate, (<b>C</b>) butyrate, and (<b>D</b>) mRNA expression of their receptors in rat kidneys, including G protein-coupled receptor 41 (GPR41), GPR43, GPR109A, and olfactory receptor 78 (Oflr78). Statistical analysis by a one-way ANOVA with Tukey’s post hoc test. * <span class="html-italic">p</span> &lt; 0.05 vs. ND; # <span class="html-italic">p</span> &lt; 0.05 vs. HF.</p>
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