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Search Results (671)

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31 pages, 724 KiB  
Review
A Review of the Mycotoxin Family of Fumonisins, Their Biosynthesis, Metabolism, Methods of Detection and Effects on Humans and Animals
by Christian Kosisochukwu Anumudu, Chiemerie T. Ekwueme, Chijioke Christopher Uhegwu, Chisom Ejileugha, Jennifer Augustine, Chioke Amaefuna Okolo and Helen Onyeaka
Int. J. Mol. Sci. 2025, 26(1), 184; https://doi.org/10.3390/ijms26010184 - 28 Dec 2024
Viewed by 394
Abstract
Fumonisins, a class of mycotoxins predominantly produced by Fusarium species, represent a major threat to food safety and public health due to their widespread occurrence in staple crops including peanuts, wine, rice, sorghum, and mainly in maize and maize-based food and feed products. [...] Read more.
Fumonisins, a class of mycotoxins predominantly produced by Fusarium species, represent a major threat to food safety and public health due to their widespread occurrence in staple crops including peanuts, wine, rice, sorghum, and mainly in maize and maize-based food and feed products. Although fumonisins occur in different groups, the fumonisin B series, particularly fumonisin B1 (FB1) and fumonisin B2 (FB2), are the most prevalent and toxic in this group of mycotoxins and are of public health significance due to the many debilitating human and animal diseases and mycotoxicosis they cause and their classification as by the International Agency for Research on Cancer (IARC) as a class 2B carcinogen (probable human carcinogen). This has made them one of the most regulated mycotoxins, with stringent regulatory limits on their levels in food and feeds destined for human and animal consumption, especially maize and maize-based products. Numerous countries have regulations on levels of fumonisins in foods and feeds that are intended to protect human and animal health. However, there are still gaps in knowledge, especially with regards to the molecular mechanisms underlying fumonisin-induced toxicity and their full impact on human health. Detection of fumonisins has been advanced through various methods, with immunological approaches such as Enzyme-Linked Immuno-Sorbent Assay (ELISA) and lateral flow immunoassays being widely used for their simplicity and adaptability. However, these methods face challenges such as cross-reactivity and matrix interference, necessitating the need for continued development of more sensitive and specific detection techniques. Chromatographic methods, including HPLC-FLD, are also employed in fumonisin analysis but require meticulous sample preparation and derivitization due to the low UV absorbance of fumonisins. This review provides a comprehensive overview of the fumonisin family, focusing on their biosynthesis, occurrence, toxicological effects, and levels of contamination found in foods and the factors affecting their presence. It also critically evaluates the current methods for fumonisin detection and quantification, including chromatographic techniques and immunological approaches such as ELISA and lateral flow immunoassays, highlighting the challenges associated with fumonisin detection in complex food matrices and emphasizing the need for more sensitive, rapid, and cost-effective detection methods. Full article
(This article belongs to the Special Issue Mycotoxins and Food Toxicology)
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<p>Chemical structures of the major fumonisins [<a href="#B68-ijms-26-00184" class="html-bibr">68</a>].</p>
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16 pages, 1399 KiB  
Article
Effect of Creatine Monohydrate Supplementation on Macro- and Microvascular Endothelial Function in Older Adults: A Pilot Study
by Holly E. Clarke, Neda S. Akhavan, Taylor A. Behl, Michael J. Ormsbee and Robert C. Hickner
Nutrients 2025, 17(1), 58; https://doi.org/10.3390/nu17010058 (registering DOI) - 27 Dec 2024
Viewed by 850
Abstract
Background/Objectives: A pilot study was conducted to investigate the effect of four weeks of creatine monohydrate (CrM) on vascular endothelial function in older adults. Methods: In a double-blind, randomized crossover trial, twelve sedentary, healthy older adults were allocated to either the CrM or [...] Read more.
Background/Objectives: A pilot study was conducted to investigate the effect of four weeks of creatine monohydrate (CrM) on vascular endothelial function in older adults. Methods: In a double-blind, randomized crossover trial, twelve sedentary, healthy older adults were allocated to either the CrM or placebo (PL) group for four weeks, at a dose of 4 × 5 g/day for 5 days, followed by 1 × 5 g/day for 23 days. Macrovascular function (flow-mediated dilation [FMD%], normalized FMD%, brachial-ankle pulse wave velocity [baPWV], pulse wave analysis [PWA]), microvascular function (microvascular reperfusion rate [% StO2/sec]), and biomarkers of vascular function (tetrahydrobiopterin [BH4], malondialdehyde [MDA], oxidized low-density lipoprotein [oxLDL], glucose, lipids) were assessed pre- and post-supplementation with a four-week washout period. Results: CrM significantly increased FMD% (pre-CrM, 7.68 ± 2.25%; post-CrM, 8.9 ± 1.99%; p < 0.005), and normalized FMD% (pre-CrM, 2.57 × 10−4 ± 1.03 × 10−4%/AUCSR; post-CrM, 3.42 × 10−4 ± 1.69 × 10−4%/AUCSR; p < 0.05), compared to PL. Microvascular reperfusion rates increased following CrM (pre-CrM, 2.29 ± 1.42%/sec; post-CrM, 3.71 ± 1.44%/sec; p < 0.05), with no change following PL. A significant reduction in fasting glucose (pre-CrM, 103.64 ± 6.28; post-CrM, 99 ± 4.9 mg/dL; p < 0.05) and triglycerides (pre-CrM, 99.82 ± 35.35; post-CrM, 83.82 ± 37.65 mg/dL; p < 0.05) was observed following CrM. No significant differences were observed for any other outcome. Conclusions: These pilot data indicate that four weeks of CrM supplementation resulted in favorable effects on several indices of vascular function in older adults. Full article
(This article belongs to the Special Issue Dietary Management and Nutritional Health for Age-Related Diseases)
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<p>Participant flow through study. * denotes reason for exclusion.</p>
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<p>FMD% and normalized FMD% results. Data are expressed as mean ± SD. (<b>A</b>) Average flow-mediated dilation (%) pre- and post- each supplement. (<b>B</b>) Average normalized flow-mediated dilation (%/AUCSR) pre- and post- each supplement. * denotes a significant difference from the corresponding baseline (pre-), <span class="html-italic">p</span> &lt; 0.05. # denotes a significant difference between post-treatment values, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Average StO<sub>2</sub> reperfusion results. Data are expressed as mean ± SD. * denotes a significant difference from the corresponding baseline (pre-), <span class="html-italic">p</span> &lt; 0.05. # denotes a significant difference between post-treatment values, <span class="html-italic">p</span> &lt; 0.05.</p>
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11 pages, 16045 KiB  
Article
Study of Ventilation Strategies in a Passenger Aircraft Cabin Using Numerical Simulation
by S. M. Abdul Khader, John Valerian Corda, Kevin Amith Mathias, Gowrava Shenoy, Kamarul Arifin bin Ahmad, Augustine V. Barboza, Sevagur Ganesh Kamath and Mohammad Zuber
Computation 2025, 13(1), 1; https://doi.org/10.3390/computation13010001 - 24 Dec 2024
Viewed by 472
Abstract
Aircraft cabins have high occupant densities and may introduce the risk of COVID-19 contamination. In this study, a segment of a Boeing 767 aircraft cabin with a mixing type of air distribution system was investigated for COVID-19 deposition. A section of a Boeing [...] Read more.
Aircraft cabins have high occupant densities and may introduce the risk of COVID-19 contamination. In this study, a segment of a Boeing 767 aircraft cabin with a mixing type of air distribution system was investigated for COVID-19 deposition. A section of a Boeing 737-300 cabin, featuring four rows with 28 box-shaped mannequins, was used for simulation. Conditioned air entered through ceiling inlets and exited near the floor, simulating a mixed air distribution system. Cough droplets were modeled using the Discrete Phase Model from two locations: the centre seat in the second row and the window seat in the fourth row. These droplets had a mean diameter of 90 µm, an exhalation velocity of 11.5 m/s and a flow rate of 8.5 L/s. A high-quality polyhedral mesh of about 7.5 million elements was created, with a skewness of 0.65 and an orthogonality of 0.3. The SIMPLE algorithm and a second-order upwind finite volume method were used to model airflow and droplet dynamics. It was found that the ceiling accounted for the maximum concentration followed by the seats. The concentration of deposits was almost 50% more when the source was at window as compared to the centre seat. The Covid particles resided for longer duration when the source was at the centre of the cabin than when it was located near the widow. Full article
(This article belongs to the Special Issue Advances in Computational Methods for Fluid Flow)
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<p>3D CAD model of a section of a Boeing 767-300 cabin.</p>
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<p>Airflow distribution for a mixed ventilation system: (<b>a</b>) vector plot from the literature review [<a href="#B15-computation-13-00001" class="html-bibr">15</a>] and (<b>b</b>) vector plot from the current study.</p>
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<p>Contaminant transmission with the source at the second-row centre seat: (<b>a</b>) particle concentration plot and (<b>b</b>) cough droplet distribution.</p>
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<p>Contaminant transmission with the source at the fourth-row window seat: (<b>a</b>) particle concentration plot and (<b>b</b>) cough droplet distribution.</p>
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<p>Comparison of the particle concentration distribution with the source at different locations: (<b>a</b>) second-row centre seat and (<b>b</b>) fourth-row window seat (SV—side view; TV—top view).</p>
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<p>Comparison of cough droplet distribution in different zones of the aircraft cabin (isometric view): (<b>a</b>) source—-second-row centre seat and (<b>b</b>) source—fourth-row window seat.</p>
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<p>Comparison of the vector plot of the airflow and cough droplet streamlines: (<b>a</b>) source–second-row centre seat and (<b>b</b>) source—fourth-row window seat.</p>
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<p>Cough droplet deposits on various surfaces of the aircraft cabin from different contaminant sources.</p>
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<p>Cough droplet residence time in various zones of the aircraft cabin from different contaminant sources.</p>
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19 pages, 5076 KiB  
Article
Investigating the Effect of Human Factors on the Underground Mine Evacuation Process Using Agent-Based Simulation
by Peter Chidi Augustine, Amin Moniri-Morad, Mahdi Shahsavar and Javad Sattarvand
Appl. Sci. 2024, 14(24), 11773; https://doi.org/10.3390/app142411773 - 17 Dec 2024
Viewed by 359
Abstract
Human factors play a critical role in underground mine evacuations, significantly impacting performance during emergencies. Traditional mine evacuation strategies rely on predetermined routes and static signs, but these methods do not account for the dynamic and unpredictable nature of real emergencies or the [...] Read more.
Human factors play a critical role in underground mine evacuations, significantly impacting performance during emergencies. Traditional mine evacuation strategies rely on predetermined routes and static signs, but these methods do not account for the dynamic and unpredictable nature of real emergencies or the diverse behaviors of individuals. This research addresses these limitations by using agent-based simulations to explore evacuation behavior and performance in underground mines. The study involved three key steps. First, agent-based simulations were deployed to model both individual and group behaviors during emergencies. Second, evacuation performance was compared across three scenarios: miners following traditional passive signage, those making decisions in chaotic conditions, and miners equipped with smart evacuation devices. Finally, evacuation times were quantified to assess the effectiveness of each approach. The results revealed that miners using smart devices improved evacuation efficiency by 35% compared with those relying on passive signage and by 37% compared with chaotic decision-making scenarios. The median evacuation time was reduced from 10.8 min with passive signage to 7 min when using smart devices, taking varying stamina levels into account. These findings underscore the importance of integrating intelligent systems that account for pre-evacuation and wayfinding behaviors, offering new insights and setting a higher standard for emergency protocols in underground mining. Full article
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<p>Number of fatalities and fatality rates [<a href="#B4-applsci-14-11773" class="html-bibr">4</a>].</p>
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<p>List of human behaviors [<a href="#B16-applsci-14-11773" class="html-bibr">16</a>].</p>
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<p>The step-by-step procedure proposed for the study.</p>
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<p>Underground mine layout showing levels 100, 150, and 250.</p>
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<p>Constructing pre-incident model.</p>
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<p>Constructing evacuation model.</p>
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<p>Average evacuation time for a chaotic scenario with an increase in error.</p>
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<p>Average evacuation time for a chaotic scenario with an increase in pre-evacuation time.</p>
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<p>Average evacuation time for smart evacuation scenario case 1 with an increase in pre-evacuation time.</p>
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<p>Average evacuation time for the smart evacuation scenario without pre-evacuation time.</p>
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<p>Average evacuation time for the passive signage scenario with an increase in pre-evacuation time.</p>
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<p>Comparing case 1 and case 2 of the chaotic scenario for constant stamina.</p>
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<p>Comparing case 1 and case 2 of the chaotic scenario for variable stamina.</p>
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<p>Comparing scenarios 1, 2, and 3 for the same stamina.</p>
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<p>Comparing scenarios 1, 2, and 3 for different stamina levels.</p>
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<p>Variations in the average evacuation time.</p>
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28 pages, 7934 KiB  
Article
Transcriptomic Profiling Reveals Altered Expression of Genes Involved in Metabolic and Immune Processes in NDV-Infected Chicken Embryos
by Malarmathi Muthusamy, Kannaki T. Ramasamy, Sunday Olusola Peters, Srinivasan Palani, Vasudevan Gowthaman, Murali Nagarajan, Sivakumar Karuppusamy, Vasanthakumar Thangavelu and Thiruvenkadan Aranganoor Kannan
Metabolites 2024, 14(12), 669; https://doi.org/10.3390/metabo14120669 - 2 Dec 2024
Viewed by 814
Abstract
Objective: The poultry industry is significantly impacted by viral infections, particularly Newcastle Disease Virus (NDV), which leads to substantial economic losses. It is essential to comprehend how the sequence of development affects biological pathways and how early exposure to infections might affect immune [...] Read more.
Objective: The poultry industry is significantly impacted by viral infections, particularly Newcastle Disease Virus (NDV), which leads to substantial economic losses. It is essential to comprehend how the sequence of development affects biological pathways and how early exposure to infections might affect immune responses. Methods: This study employed transcriptome analysis to investigate host–pathogen interactions by analyzing gene expression changes in NDV-infected chicken embryos’ lungs. Result: RNA-Seq reads were aligned with the chicken reference genome (Galgal7), revealing 594 differentially expressed genes: 264 upregulated and 330 downregulated. The most overexpressed genes, with logFC between 8.15 and 8.75, included C8A, FGG, PIT54, FETUB, APOC3, and FGA. Notably, downregulated genes included BPIFB3 (−4.46 logFC) and TRIM39.1 (−4.26 logFC). The analysis also identified 29 novel transcripts and 20 lncRNAs that were upregulated. Gene Ontology and KEGG pathways’ analyses revealed significant alterations in gene expression related to immune function, metabolism, cell cycle, nucleic acid processes, and mitochondrial activity due to NDV infection. Key metabolic genes, such as ALDOB (3.27 logFC), PRPS2 (2.66 logFC), and XDH (2.15 logFC), exhibited altered expression patterns, while DCK2 (−1.99 logFC) and TK1 (−2.11 logFC) were also affected. Several immune-related genes showed significant upregulation in infected lung samples, including ALB (6.15 logFC), TLR4 (1.86 logFC), TLR2 (2.79 logFC), and interleukin receptors, such as IL1R2 (3.15 logFC) and IL22RA2 (1.37 logFC). Conversely, genes such as CXCR4 (−1.49 logFC), CXCL14 (−2.57 logFC), GATA3 (−1.51 logFC), and IL17REL (−2.93 logFC) were downregulated. The higher expression of HSP genes underscores their vital role in immune responses. Conclusion: Comprehension of these genes’ interactions is essential for regulating viral replication and immune responses during infections, potentially aiding in the identification of candidate genes for poultry breed improvement amidst NDV challenges. Full article
(This article belongs to the Special Issue Advances in Metabolomics and Multi-Omics Integration)
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<p>The proportion of differently expressed genes from the respective chicken chromosomes. (<b>a</b>) The amount of lnRNA and protein-coding RNA transcripts, (<b>b</b>) the overall total amount of RNA from each chromosome, and (<b>c</b>) the quantity of transcripts expressed from each chromosome.</p>
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<p>The proportion of differently expressed genes from the respective chicken chromosomes. (<b>a</b>) The amount of lnRNA and protein-coding RNA transcripts, (<b>b</b>) the overall total amount of RNA from each chromosome, and (<b>c</b>) the quantity of transcripts expressed from each chromosome.</p>
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<p>Bar diagram illustrating the proportionate number of exons (<b>a</b>) and transcripts (<b>b</b>) per gene.</p>
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<p>Volcano plot showing differential expression profiles of genes. Red indicates absolute log2 fold change ≥1 and adjusted <span class="html-italic">p</span>-value ≤ 0.01. As the first three comparisons did not have any significantly expressed genes, the graphical results are provided only for the fourth comparison (1C, 2C, and 3C vs. 1T, 2T, and 3T).</p>
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<p>Hierarchical cluster and expression profile of (<b>a</b>) 594 differently expressed genes (<span class="html-italic">p</span> &lt; 0.002) and (<b>b</b>) the highly significant (<span class="html-italic">p</span> &lt; 10 <sup>−7</sup>) differentially expressed top 100 genes across the samples. The heat maps were generated from the normalized expression values of each sample for a given gene.</p>
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<p>Hierarchical cluster and expression profile of (<b>a</b>) 594 differently expressed genes (<span class="html-italic">p</span> &lt; 0.002) and (<b>b</b>) the highly significant (<span class="html-italic">p</span> &lt; 10 <sup>−7</sup>) differentially expressed top 100 genes across the samples. The heat maps were generated from the normalized expression values of each sample for a given gene.</p>
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<p>The bar graph depicts the five transcripts that were chosen at random and validated by RT-qPCR. The fold change indicates the variation in transcript amounts between infected and control samples.</p>
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<p>Control vs. treated groups (COMP4) bubble plot of the overrepresented GO terms using significantly expressed genes. The orange line represents the <span class="html-italic">p</span>-value threshold (Benjamini–Hochberg <span class="html-italic">p</span> &lt; 0.05). The size of the bubble is proportionate to the number of genes involved in the GO term.</p>
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<p>The Lollypop graph displays the results of the functional fold enrichment study conducted on the target genes of predicted known RNAs pertaining to various different (<b>a</b>) biological, (<b>b</b>) metabolic, and (<b>c</b>) cellular processes.</p>
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<p>A hierarchical clustering tree of (<b>a</b>) biological, (<b>b</b>) metabolic, and (<b>c</b>) cellular processes, summarizing the correlation among significant pathways listed in the enrichment tab. Pathways with many shared genes are clustered together. Bigger dots indicate more significant <span class="html-italic">p</span>-values.</p>
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<p>KEGG pathway enrichment analysis of transcripts with differential expression against NDV. (<b>a</b>) A bubble graphic illustrates the degree of enrichment and the number of genes in KEGG pathways. The top 20 significant KEGG keywords in metabolic processes are displayed in a chord plot (<b>b</b>).</p>
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<p>KEGG pathway enrichment analysis of transcripts with differential expression against NDV. (<b>a</b>) A bubble graphic illustrates the degree of enrichment and the number of genes in KEGG pathways. The top 20 significant KEGG keywords in metabolic processes are displayed in a chord plot (<b>b</b>).</p>
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<p>Potential networks of protein interactions encoded by genes related to different biological and cellular mechanics of cell functions. We drew the interaction networks using STRING functional protein association networks (<a href="https://string-db.org" target="_blank">https://string-db.org</a>, accessed on 16 July 2024). Proteins with known or projected three-dimensional structures have clusters indicated by their color.</p>
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25 pages, 4313 KiB  
Article
Serotonin Inhibition of Claustrum Projection Neurons: Ionic Mechanism, Receptor Subtypes and Consequences for Claustrum Computation
by Kelly Li Lin Wong, Martin Graf and George J. Augustine
Cells 2024, 13(23), 1980; https://doi.org/10.3390/cells13231980 - 29 Nov 2024
Viewed by 645
Abstract
The claustrum is a small but densely interconnected brain structure that is innervated by axons containing serotonin (5-HT), a neuromodulator that has been implicated in control of sleep and in the actions of psychedelic drugs. However, little is known about how 5-HT influences [...] Read more.
The claustrum is a small but densely interconnected brain structure that is innervated by axons containing serotonin (5-HT), a neuromodulator that has been implicated in control of sleep and in the actions of psychedelic drugs. However, little is known about how 5-HT influences the claustrum. We have combined whole-cell patch-clamp measurements of ionic currents, flash photolysis, and receptor pharmacology to characterize the 5-HT responses of individual claustral projection neurons (PNs) in mouse brain slices. Serotonin application elicited a long-lasting outward current in claustral PNs. This current was due to an increase in membrane permeability to K+ ions and was mediated mainly by the type 1A 5-HT receptor (5-HTR-1A). The 5-HT-induced K+ current hyperpolarized, and thereby inhibited, the PNs by reducing action potential firing. Focal uncaging of 5-HT revealed that inhibitory 5-HTR-1As were located at both the soma and dendrites of PNs. We conclude that 5-HT creates a net inhibition in the claustrum, an action that should decrease claustrum sensitivity to excitatory input from other brain areas and thereby contribute to 5-HT action in the brain. Full article
(This article belongs to the Section Cells of the Nervous System)
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<p>Identifying claustral projection neurons via their intrinsic electrical properties. (<b>A</b>) A whole-cell patch-clamp recording from a single claustral neuron in a coronal brain slice. The neuron was filled with neurobiotin, which was labeled by streptavidin (red). The claustrum (CLA) core is identifiable as a PV-rich (cyan) elliptical structure located between the insula and the striatum. The striatum also highly expresses PV but is separated from the cortex by the external capsule. (<b>B</b>) Representative recordings of AP firing (upper traces) evoked by depolarizing currents (lower traces) in PN subtypes PN1 to PN5.</p>
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<p>A K<sup>+</sup> conductance increase mediated the 5-HT response of claustrum PNs. (<b>A</b>) Representative current induced in a claustrum PN in response to local application of 5-HT (100 µM; at arrowhead). The time course of current decay was fitted with a single-exponential function (red). (<b>B</b>) Currents induced by 5-HT in a claustral PN held at different membrane potentials. In this cell, the 5-HT-induced current reversed its polarity at −100 mV. (<b>C</b>) Currents induced by 5-HT in a claustral PN held at various membrane potentials and bathed in a high external K<sup>+</sup> solution. In this cell, the 5-HT-induced current reversed its polarity between −60 and −70 mV. (<b>D</b>) Relationships between membrane potential and 5-HT-induced currents in normal (black; <span class="html-italic">n</span> = 10) and high external K<sup>+</sup> (purple <span class="html-italic">n</span> = 6) solutions. The 5-HT responses were sensitive to the electrochemical gradient of K<sup>+</sup> and reversed at −95 mV and −63 mV, respectively. Points indicate mean values, and error bars show SEM. (<b>E</b>) Normalized chord conductances, calculated from Equation (2), of 5-HT responses measured in normal (black) and high external K<sup>+</sup> solution (purple). Points indicate mean values.</p>
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<p>5-HT induced K<sup>+</sup> currents in all claustral PN subtypes. (<b>A</b>) Representative traces of 5-HT-induced outward currents in the five PN subtypes. The black arrowhead indicates the timing of pressure application of 5-HT (100 µM). (<b>B</b>) Response rates of the five PN subtypes. The horizontal line represents the mean response rate (67.2%) for all PNs. Asterisks indicate that PN1 cells have a significantly lower rate of responding to 5-HT (<span class="html-italic">p</span> = 0.008; see <a href="#app1-cells-13-01980" class="html-app">Supplementary Table S1</a>). (<b>C</b>) The peak amplitude of the 5-HT-induced outward current was not significantly different across the 5 PN subtypes (refer to <a href="#app1-cells-13-01980" class="html-app">Supplementary Table S1</a> for statistical analysis). Points show individual measurements, bars indicate mean values, and error bars show SEM. ** <span class="html-italic">p</span> ≤ 0.01.</p>
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<p>5-HT responses were generated by multiple types of 5-HTRs. (<b>A</b>) Representative responses to 5-HT (100 µM) before (Control, black) and after application of the indicated 5-HTR antagonists: 5-HTR-1A antagonist WAY100635 (1 µM, orange), 5-HTR2A antagonist MDL11939 (5 µM, red), and 5-HTR-2C antagonist RS102221 (5 µM, blue). The amplitudes of control responses are normalized to 100% to illustrate the magnitude of the block by each type of antagonist. (<b>B</b>) Decrease in the 5-HT-induced response of PNs, measured as response charge, following application of each 5-HTR antagonist. Points show individual measurements, bars indicate mean values, and error bars show SEM. Asterisks indicate statistically significant differences; refer to <a href="#app1-cells-13-01980" class="html-app">Supplementary Table S1</a> for statistical analyses. * <span class="html-italic">p</span> ≤ 0.05, **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>5-HT decreased the AP firing of claustral PNs. (<b>A</b>) Representative traces of AP firing (top) in a claustral PN in response to depolarizing current pulses (bottom). 5-HT (100 µM) was applied 5 s before the second depolarization (arrowhead) and hyperpolarized the membrane potential of the cell. (<b>B</b>) AP firing elicited by current pulses (bottom) before (Control; top) and after (center) 5-HT application. (<b>C</b>) Relationship between the magnitude of depolarizing current pulses and frequency of resulting APs in control conditions (black) and after application of 5-HT (green). Points indicate mean values and error bars show ±1 SEM.</p>
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<p>The temporal dynamics of AP firing reflects the time course of 5-HT-induced K<sup>+</sup> conductance. (<b>A</b>) An example of claustral PN responses to pairs of depolarizing current ramps (bottom); 5-HT (100 µM) was applied at different times (arrowheads) prior to the second current ramp. (<b>B</b>) Relationship between the mean time course of 5-HT-induced K<sup>+</sup> conductance (purple), measured in voltage-clamp conditions, and mean reduction in AP firing (pink) produced by application of 5-HT at variable times. Points indicate mean values, and error bars show ±1 SEM. (<b>C</b>) Correlation between the 5-HT-induced K<sup>+</sup> conductance and reduction in AP firing measured in individual neurons. (<b>D</b>) Relationship between the mean time course of the 5-HT-induced K<sup>+</sup> conductance (purple) and mean reduction in the AP current threshold (CT) produced by application of 5-HT at indicated times. Points represent mean values, and error bars show ±1 SEM. (<b>E</b>) Correlation between the 5-HT-induced K<sup>+</sup> conductance and the reduction in CT (green) measured in individual neurons.</p>
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<p>The subtractive action of 5-HT on neuronal arithmetic. (<b>A</b>) The input–output (I-O) relationship of a neuron could be modulated either linearly or non-linearly, changing processing of the input, the output or both. (<b>B</b>) I-O relationships of claustral PNs before (Control; black) or after (maroon) application of 5-HT (100 µM). Points indicate mean values and error bars show ±1 SEM. (<b>C</b>–<b>F</b>) I-O curve parameters obtained from Boltzmann function fits to the curves shown in (<b>B</b>): (<b>C</b>) Input<sub>50</sub>, (<b>D</b>) slope, (<b>E</b>) half-maximal AP frequency, and (<b>F</b>) maximum AP frequency. Points show individual measurements, bars indicate mean values, and error bars show SEM. Asterisks indicate a statistically significant difference (<span class="html-italic">p</span> = 0.0016); refer to <a href="#app1-cells-13-01980" class="html-app">Supplementary Table S1</a> for statistical analyses.</p>
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<p>The spatial resolution of 5-HT uncaging. (<b>A</b>) Outward currents evoked by photolyzing caged 5-HT (10 µM) over a 100 µm-by-100 µm area at different locations, indicated by squares numbered 1–3. (<b>B</b>,<b>C</b>) Determination of the distance-dependence of uncaging, calculated from both the peak amplitude (<b>B</b>) and the charge (<b>C</b>) of the 5-HT-induced outward currents. Distance was calculated according to the distance to the nearest neighboring process of a neuron. Points indicate mean values and error bars show ±1 SEM. Lines represent fits of exponential functions to the data; the length constants of the exponential fits are also indicated.</p>
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<p>5-HT uncaging revealed the distribution of 5-HTRs in claustral PN neuronal compartments. (<b>A</b>) Outward currents evoked by photolyzing caged 5-HT (10 µM) over nearly the whole neuron (upper large square in left image), soma (upper small square in left image), 1 dendrite (lower small square in left image), or many dendrites (lower large square in left image). (<b>B</b>) The charge of outward currents induced by uncaging 5-HT at the whole neuron, soma, and calculated dendrite component (whole neuron–soma). (<b>C</b>) The charge of the 5-HT-induced outward currents for the calculated dendrite component and actual responses measured after uncaging 5-HT over a large area that included many dendrites. Points in (<b>B</b>,<b>C</b>) show individual measurements, bars indicate mean values, and error bars show SEM. Asterisks indicate statistically significant differences; refer to <a href="#app1-cells-13-01980" class="html-app">Supplementary Table S1</a> for statistical analyses. * <span class="html-italic">p</span> ≤ 0.05, *** <span class="html-italic">p</span> ≤ 0.001, **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>The localization of 5-HTR-1A on claustral PNs. (<b>A</b>) Outward currents evoked by photolyzing caged 5-HT (10 µM) over the whole neuron (large left square), soma (small square), and dendrites (large right square). Black traces represent responses measured in normal ACSF, while red traces represent responses measured in the presence of WAY100635 (1 µM). (<b>B</b>) The total charge of responses to uncaging 5-HT in the indicated neuronal compartments, measured in control conditions and in the presence of WAY1000635. Points show individual measurements, bars indicate mean values, and error bars show SEM. (<b>C</b>) The percentage reduction in responses to uncaging 5-HT produced by WAY1000635. Bars indicate mean values, and error bars show SEM. Refer to <a href="#app1-cells-13-01980" class="html-app">Supplementary Table S1</a> for statistical analyses.</p>
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11 pages, 221 KiB  
Article
From the Mouths of Babes: Lessons in Making a Joyful Noise unto the Lord
by Deborah Ann Wong
Religions 2024, 15(12), 1454; https://doi.org/10.3390/rel15121454 - 29 Nov 2024
Viewed by 1277
Abstract
How do infants praise the Lord? While we cannot say definitively how this is so, exploring this idea—particularly in the context of intergenerational worship and formation—offers rich theological insights. Scripture declares, “Out of the mouth of babes and nursing infants, you have perfected [...] Read more.
How do infants praise the Lord? While we cannot say definitively how this is so, exploring this idea—particularly in the context of intergenerational worship and formation—offers rich theological insights. Scripture declares, “Out of the mouth of babes and nursing infants, you have perfected praise” (Matthew 21:16; Psalm 8:2, NKJV), suggesting that (1) infants indeed praise God, and (2) their praise is perfected by Him. Rather than dismissing this as purely metaphorical, this article draws on St. Augustine’s concept of the jubilus, a song with no intelligible words, to explore how infants’ babbling might be seen as a form of praise and worship, and what we might learn from it if it is thus seen. The article concludes by demonstrating how this reflection on infants’ praise might challenge us to reevaluate and enrich our approaches to Contemporary Praise & Worship and intergenerational formation. Full article
(This article belongs to the Special Issue Contemporary Worship Music and Intergenerational Formation)
13 pages, 1135 KiB  
Case Report
Transcutaneous Spinal Stimulation Combined with Locomotor Training Improves Functional Outcomes in a Child with Cerebral Palsy: A Case Study
by Darryn Atkinson, Kristen Barta, Fabian Bizama, Hazel Anderson, Sheila Brose and Dimitry G Sayenko
Children 2024, 11(12), 1439; https://doi.org/10.3390/children11121439 - 26 Nov 2024
Viewed by 504
Abstract
Background and Purpose: activities-based locomotor training (AB-LT) is a restorative therapeutic approach to the treatment of movement deficits in people with non-progressive neurological conditions, including cerebral palsy (CP). Transcutaneous spinal stimulation (TSS) is an emerging tool in the rehabilitation of individuals with sensorimotor [...] Read more.
Background and Purpose: activities-based locomotor training (AB-LT) is a restorative therapeutic approach to the treatment of movement deficits in people with non-progressive neurological conditions, including cerebral palsy (CP). Transcutaneous spinal stimulation (TSS) is an emerging tool in the rehabilitation of individuals with sensorimotor deficits caused by neurological dysfunction. This non-invasive technique delivers electrical stimulation over the spinal cord, leading to the modulation of spinal sensorimotor networks. TSS has been used in combination with AB-LT and has been shown to improve muscle activation patterns and enhance motor recovery. However, there are no published studies comparing AB-LT + TSS to AB-LT alone in children with CP. The purpose of this case study was to compare the impact of AB-LT alone versus AB-LT combined with TSS on functional movement and quality of life in a child with CP. Methods: A 13-year-old male with quadriplegic CP participated in this pilot study. He was classified in the Gross Motor Function Classification System (GMFCS) at Level III. He completed 20 sessions of AB-LT (5x/week), then a 2-week washout period, followed by 20 sessions of body-AB-LT + TSS. Treatment sessions consisted of 1 h of locomotor training with body weight support and manual facilitation and 30 min of overground play-based activities. TSS was applied using the RTI Xcite®, with stimulation at the T11 and L1 vertebral levels. Assessments including the Gross Motor Function Measure (GMFM), 10-m walk test (10 MWT), and Pediatric Balance Scale (PBS) were performed, while spatiotemporal gait parameters were assessed using the Zeno Walkway®. All assessments were performed at three time points: before and after AB-LT, as well as after AB-LT + TSS. OUTCOMES: After 19/20 sessions of AB-LT alone, the participant showed modest improvements in the GMFM scores (from 86.32 to 88), 10 MWT speed (from 1.05 m/s to 1.1 m/s), and PBS scores (from 40 to 42). Following the AB-LT combined with TSS, scores improved to an even greater extent compared with AB-LT alone, with the GMFM increasing to 93.7, 10 MWT speed to 1.43 m/s, and PBS to 44. The most significant gains were observed in the GMFM and 10 MWT. Additionally, improvements were noted across all spatiotemporal gait parameters, particularly at faster walking speeds. Perhaps most notably, the child transitioned from the GMFCS level III to level II by the end of the study. Discussion: Higher frequency and intensity interventions aimed at promoting neuroplasticity to improve movement quality in children with CP are emerging as a promising alternative to traditional physical therapy approaches. This case study highlights the potential of TSS to augment neuroplasticity-driven treatment approaches, leading to improvements in neuromotor function in children with CP. These findings suggest that TSS could be a valuable addition to rehabilitation strategies, warranting further research to explore its efficacy in larger populations. Full article
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<p>P1 in the body-weight support treadmill environment with TSS. Electrode placement (yellow): two pairs of electrodes were used, with one of each pair (one-inch round electrodes) placed over the T11 and L1 spinous processes and the other (2- × 3-inch oval electrodes) over each anterior superior iliac crest. Then, the pelvic and thoracic harnesses were applied.</p>
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<p>Improvements in GMFM category scores. GMFM scores for categories C, D, E, and total score for each time point: Pre-AB-LT = prior to activities-based locomotor training, post-AB-LT = following AB-LT training, post-AB-LT + TSS = following AB-LT with transcutaneous spinal stimulation.</p>
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<p>Improvements in spatiotemporal gait parameters. Panels A and F give values for (<b>A</b>) percentage of time in stance, (<b>B</b>) percentage of time in swing, (<b>C</b>) stride width, (<b>D</b>) stride length, (<b>E</b>) Gait speed, and (<b>F</b>) cadence, before AB-LT (pre AB-LT), after AB_LT (post AB-LT), and after AB-LT with TSS (post AB-LT + TSS). L and R = left and right, respectively.</p>
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13 pages, 1524 KiB  
Article
A Mobile Application to Facilitate Meal Box Sharing in Corporate Environments Using Cloud Infrastructure
by Priya Tushar Mohod, Richard I. Otuka, Nemitari Ajienka, Isibor Kennedy Ihianle and Augustine O. Nwajana
Electronics 2024, 13(23), 4631; https://doi.org/10.3390/electronics13234631 - 24 Nov 2024
Viewed by 471
Abstract
Food waste is a pressing global issue, particularly in urban settings, where substantial amounts of surplus food go unused. In corporate environments, this challenge is compounded by the lack of dedicated platforms to facilitate food sharing and reduce waste effectively. This paper examines [...] Read more.
Food waste is a pressing global issue, particularly in urban settings, where substantial amounts of surplus food go unused. In corporate environments, this challenge is compounded by the lack of dedicated platforms to facilitate food sharing and reduce waste effectively. This paper examines the current landscape of food waste, existing solutions, and the need for a specialised platform aimed at corporate employees. The proposed solution is the creation of a user-friendly application that enables the sharing of untouched homemade meals. Suppliers can post their meal boxes with details such as location, type of food, and availability status, while consumers can search for and select meal boxes based on their preferences. This paper addresses the gap in solutions for reducing food waste within corporate environments. The meal-box-sharing app provides a practical and sustainable method for minimising food waste and promoting productivity, health, and safety in the workplace. Full article
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<p>System architecture.</p>
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<p>System paradigm.</p>
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<p>Use case model.</p>
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<p>Application flowchart.</p>
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<p>Data flow diagram.</p>
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<p>Application screens.</p>
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20 pages, 12267 KiB  
Article
Biocompatibility Analysis of the Silver-Coated Microporous Titanium Implants Manufactured with 3D-Printing Technology
by Maxim Shevtsov, Emil Pitkin, Stephanie E. Combs, Natalia Yudintceva, Denis Nazarov, Greg Van Der Meulen, Chris Preucil, Michael Akkaoui and Mark Pitkin
Nanomaterials 2024, 14(23), 1876; https://doi.org/10.3390/nano14231876 - 22 Nov 2024
Viewed by 652
Abstract
3D-printed microporous titanium scaffolds enjoy good biointegration with the residuum’s soft and bone tissues, and they promote excellent biomechanical properties in attached prostheses. Implant-associated infection, however, remains a major clinical challenge. Silver-based implant coatings can potentially reduce bacterial growth and inhibit biofilm formation, [...] Read more.
3D-printed microporous titanium scaffolds enjoy good biointegration with the residuum’s soft and bone tissues, and they promote excellent biomechanical properties in attached prostheses. Implant-associated infection, however, remains a major clinical challenge. Silver-based implant coatings can potentially reduce bacterial growth and inhibit biofilm formation, thereby reducing the risk of periprosthetic infections. In the current study, a 1-µm thick silver coating was prepared on the surface of a 3D-printed microporous titanium alloy with physical vapor deposition (PVD), with a final silver content of 1.00 ± 02 mg/cm2. Cell viability was evaluated with an MTT assay of MC3T3-E1 osteoblasts and human dermal fibroblasts cultured on the surface of the implants, and showed low cytotoxicity for cells during the 14-day follow-up period. Quantitative real-time polymerase chain reaction (RT-PCR) analysis of the relative gene expression of the extracellular matrix components (fibronectin, vitronectin, type I collagen) and cell adhesion markers (α2, α5, αV, β1 integrins) in dermal fibroblasts showed that cell adhesion was not reduced by the silver coating of the microporous implants. An RT-PCR analysis of gene expression related to osteogenic differentiation, including TGF-β1, SMAD4, osteocalcin, osteopontin, and osteonectin in MC3T3-E1 osteoblasts, demonstrated that silver coating did not reduce the osteogenic activity of cells and, to the contrary, enhanced the activity of the TGF-β signaling pathway. For representative sample S5 on day 14, the gene expression levels were 7.15 ± 0.29 (osteonectin), 6.08 ± 0.12 (osteocalcin), and 11.19 ± 0.77 (osteopontin). In conclusion, the data indicate that the silver coating of the microporous titanium implants did not reduce the biointegrative or osteoinductive properties of the titanium scaffold, a finding that argues in favor of applying this coating in designing personalized osseointegrated implants. Full article
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<p>Tablets for the study: (<b>A</b>) set of tablets (S1–S9) fabricated with 3D-printing technology and coated with silver; (<b>B</b>) r<sub>1</sub> is the outer radius of the tablets and r<sub>2</sub> is the radius of a central solid core.</p>
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<p>MTT assay of dermal fibroblasts and MC3T3-E1 osteoblast cells on silver-coated 3D-printed titanium microporous implants (S1–S9). Cell viability (%) was evaluated on the 1st, 3rd, 7th, and 14th day after co-incubation. Sintered Ti implant and 3D-printed implant without silver coating were used as controls. Data is presented from three independent experiments as M ± SD.</p>
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<p>Representative scanning electron microscopy images of MC3T3-E1 cells and fibroblasts cultured on the samples S5 following 72 h of co-incubation.</p>
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<p>Comparison of expression of integrins and extracellular matrix component (fibronectin, vitronectin, type I collagen) genes of dermal fibroblasts on silver-coated 3D-printed titanium implants S1–S9 4, 24, 48, and 72 h after co-culturing. Analysis of gene expression related to fibronectin, vitronectin, and type I collagen was performed following 4 and 72 h of co-culturing cells on the surface of implants. Data is presented from three independent experiments as M ± SD. <span class="html-italic">p</span> &lt; 0.01 for testing mean expression levels.</p>
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<p>Comparison of gene (FAK, vinculin, paxillin) expression for MC3T3-E1 cells co-cultured on silver-coated titanium implants with various pore sizes (S1–S9) after 1, 3, 7, and 14 days. Data is presented from three independent experiments as M ± SD. <span class="html-italic">p</span> &lt; 0.01 for testing mean expression levels.</p>
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<p>Comparison of expression of osteocalcin, osteopontin, and osteocalcin genes of MC3T3-E1 cells following co-incubation with silver-coated titanium implants (S1–S9) after 1, 3, 7, and 14 days. Analysis of TGF-β1 and SMAD4 gene expression in MC3T3-E1 osteoblast cells was performed on days 1 and 7 after co-incubation. Data is presented from three independent experiments as M ± SD. <span class="html-italic">p</span> &lt; 0.01 for testing mean expression levels.</p>
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3 pages, 178 KiB  
Correction
Correction: Sebro et al. Implementation of Antigen-Based Diagnostic Assays for Detection of Histoplasmosis and Cryptococcosis among Patients with Advanced HIV in Trinidad and Tobago: A Cross-Sectional Study. J. Fungi 2024, 10, 695
by Ayanna Sebro, Jonathan Edwards, Omar Sued, Leon-Omari Lavia, Tricia Elder, Robert Jeffrey Edwards, Patrick Eberechi Akpaka, Nadia Ram-Bhola, Roanna Morton-Williams Bynoe, Yanink Caro-Vega, Isshad John and Freddy Perez
J. Fungi 2024, 10(12), 806; https://doi.org/10.3390/jof10120806 - 21 Nov 2024
Viewed by 436
Abstract
In the original publication [...] Full article
10 pages, 277 KiB  
Article
Effects of Different Protein and Lipid Levels in Practical Diets for Yellowtail Snapper, Ocyurus chrysurus (Bloch, 1971)
by Stephanie F. Velasquez, Leonardo Ibarra-Castro, Alexis Weldon and Donald Allen Davis
J. Mar. Sci. Eng. 2024, 12(11), 2009; https://doi.org/10.3390/jmse12112009 - 7 Nov 2024
Viewed by 722
Abstract
Yellowtail snapper Ocyurus chrysurus has great potential as a production fish in aquaculture, yet there is very limited information on its nutritional requirements. To establish baseline data, two trials were conducted to evaluate the effects of dietary protein and lipid levels in practical [...] Read more.
Yellowtail snapper Ocyurus chrysurus has great potential as a production fish in aquaculture, yet there is very limited information on its nutritional requirements. To establish baseline data, two trials were conducted to evaluate the effects of dietary protein and lipid levels in practical diets on growth and protein retention. The first trial, conducted over 14 weeks, used a series of diets with varying levels of protein (36%, 40%, and 44%) and lipids (6%, 10%, and 14%). The second trial, conducted for 10 weeks, used a series of diets with 36% protein and scaled lipid levels (7%, 10%, 13%, and 16%). Additionally, a commercial reference diet with 44% protein and 12% lipids was included. Growth performance and feed utilization parameters for Trial 1 indicated that the yellowtail snapper were able to effectively utilize practical diets containing 36% protein and 10% lipids, which produced the highest apparent net protein retention (ANPR; %) and survival. No significant differences were found in growth performance metrics, though there were numerical differences in final weight, weight gain, and survival. Similarly, in Trial 2, most growth metrics did not show significant differences. There were variations in weight gain, feed offered, and ANPR, with the highest performance observed in the fish given feed with 13% lipids. Based on the growth performance and ANPR values across these trials, we recommend 36% protein and dietary lipid levels of 7–13%, which are lower than the currently used commercial diets for marine finfish. The data gathered from the current study may be helpful for nutritionists in formulating feed to include more sustainable and cheaper feedstuffs and promote sustainable yellowtail snapper aquaculture production. Full article
(This article belongs to the Special Issue Sustainable Development and Resource Management of Marine Aquaculture)
23 pages, 8197 KiB  
Article
Multi-Timescale Energy Consumption Management in Smart Buildings Using Hybrid Deep Artificial Neural Networks
by Favour Ibude, Abayomi Otebolaku, Jude E. Ameh and Augustine Ikpehai
J. Low Power Electron. Appl. 2024, 14(4), 54; https://doi.org/10.3390/jlpea14040054 - 7 Nov 2024
Viewed by 1202
Abstract
Demand side management is a critical issue in the energy sector. Recent events such as the global energy crisis, costs, the necessity to reduce greenhouse emissions, and extreme weather conditions have increased the need for energy efficiency. Thus, accurately predicting energy consumption is [...] Read more.
Demand side management is a critical issue in the energy sector. Recent events such as the global energy crisis, costs, the necessity to reduce greenhouse emissions, and extreme weather conditions have increased the need for energy efficiency. Thus, accurately predicting energy consumption is one of the key steps in addressing inefficiency in energy consumption and its optimization. In this regard, accurate predictions on a daily, hourly, and minute-by-minute basis would not only minimize wastage but would also help to save costs. In this article, we propose intelligent models using ensembles of convolutional neural network (CNN), long-short-term memory (LSTM), bi-directional LSTM and gated recurrent units (GRUs) neural network models for daily, hourly, and minute-by-minute predictions of energy consumptions in smart buildings. The proposed models outperform state-of-the-art deep neural network models for predicting minute-by-minute energy consumption, with a mean square error of 0.109. The evaluated hybrid models also capture more latent trends in the data than traditional single models. The results highlight the potential of using hybrid deep learning models for improved energy efficiency management in smart buildings. Full article
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<p>The proposed framework for energy consumption prediction using hybrid deep neural networks.</p>
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<p>Schematic diagram showing a typical CNN model with LeNet architecture [<a href="#B37-jlpea-14-00054" class="html-bibr">37</a>].</p>
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<p>Schematic diagram of LSTM memory block [<a href="#B38-jlpea-14-00054" class="html-bibr">38</a>].</p>
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<p>The high-level architecture of the models showing one of the hybrid models, i.e., the CNN-LSTM model.</p>
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<p>An overview of the energy consumption dataset. The electricity consumption dataset is of individual air conditioning units, lighting, and plug loads in each of the 33 zones of the 33 zones of the building [<a href="#B45-jlpea-14-00054" class="html-bibr">45</a>].</p>
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<p>Insights from the time–series dataset showing trends and seasonality of energy consumption for a single plug load.</p>
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<p>Analysis of experimental dataset. (<b>a</b>,<b>b</b>) The energy consumption trends from November to December (Winter) and from July to August (Summer). (<b>c</b>) The energy consumption trends at different hours of the day.</p>
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<p>Splitting of data into training and test sets, the data were split by 80% and 20% for training and test sets, respectively.</p>
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<p>The CNN-LSTM model showing the predicted trends against the actual trends for minute-by-minute energy consumption. In the figure, the CNN-LSTM model shows a strong alignment between the predicted and actual values of energy consumption. The model captures the small fluctuations in energy consumption, particularly during periods of rapid change. The predicted trends follow the actual trends, with minimal deviations, indicating the model’s ability to track minute-level energy consumption trends.</p>
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<p>CNN-GRU model for minute-by-minute prediction. The model also captures the general trend of the actual energy consumption data, but there are more noticeable errors compared to CNN-LSTM. Whilst the overall pattern of high and low energy consumption is captured, there are instances where the predicted values exhibit some differences between the actual values, especially during peak consumption periods.</p>
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<p>The CNN-BiLSTM model showing the predicted trends against the actual trends for minute-by-minute energy consumption. The CNN-BiLSTM model captures the trends in energy consumption, but it shows more deviations compared to the other two models. The predicted line follows the general direction of the actual data, but at certain points, there are larger gaps between the predicted and actual values, suggesting that this model has more difficulty with minute-level predictions.</p>
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<p>The CNN-LSTM model showing the predicted trends against the actual trends for hourly energy consumption. The CNN-LSTM model captures the broader trends of energy consumption. The predicted line closely follows the actual line, particularly during periods of gradual changes in consumption. However, there are some errors as can be seen at peak period or when consumption declines, where the predicted values are slightly lower than the actual values.</p>
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<p>The CNN-GRU model showing predicted trends against the actual trends for hourly energy consumption. The CNN-GRU model’s capturing of the hourly trends is like that of the CNN-LSTM model hourly trends, but there are more noticeable deviations. The predicted line and the actual values sometimes overlap, particularly for periods of high and low energy consumption. However, the model still captures the general trends of energy consumption at hourly time resolutions.</p>
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<p>The CNN-BiLSTM model showing predicted trends against the actual trends for hourly energy consumption. This model shows a similar trend, but with larger deviations from the actual trend compared to the CNN-GRU and CNN-LSTM models. This shows that the model is less effective at capturing spikes in hourly consumption.</p>
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<p>The CNN-LSTM model showing the predicted trends against the actual trends for daily energy consumption. In the daily predictions, the CNN-LSTM model captures the general trend but shows larger errors compared to minute-by-minute and hourly predictions. The predicted trends still follow the direction of the actual trends, but there are slightly larger errors between the predicted and actual trends, particularly during peak periods of consumption.</p>
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<p>The CNN-GRU model showing the predicted trends against the actual trends for daily energy consumption. As can be seen, unlike the CNN-LSTM model, the CNN-GRU model is unable to capture the actual trends. With an MSE of 70.04, the CNN-GRU model shows a significant increase in error compared to CNN-LSTM. The higher error rates indicate that this model does not perform well in predicting daily energy consumption trends.</p>
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<p>The CNN-BiLSTM model showing predicted trends against the actual trends for hourly energy consumption. The CNN–Bidirectional LSTM model has the worst performance in predicting the daily trends as can be seen.</p>
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12 pages, 256 KiB  
Article
A Note on APN Permutations and Their Derivatives
by Augustine Musukwa
Mathematics 2024, 12(22), 3477; https://doi.org/10.3390/math12223477 - 7 Nov 2024
Viewed by 579
Abstract
Prior to the discovery of an APN permutation in six dimension it was conjectured that such functions do not exist in even dimension, as none had been found at that time. However, finding APN permutations in even dimension 8 remains a significant [...] Read more.
Prior to the discovery of an APN permutation in six dimension it was conjectured that such functions do not exist in even dimension, as none had been found at that time. However, finding APN permutations in even dimension 8 remains a significant challenge. Understanding and determining more properties of these functions is a crucial approach to discovering them. In this note, we study the properties of vectorial Boolean functions based on the weights of the first-order and second-order derivatives of their components. We show that a function is an APN permutation if and only if the sum of the squares of the weights of the first-order derivatives of its components is exactly 22n1(2n1+1)(2n1). Additionally, we determined that the sum of the weights of the second-order derivatives of the components of any vectorial Boolean function is at most 22n1(2n1)(2n2). This bound is achieved if and only if a function is APN. Full article
(This article belongs to the Section Algebra, Geometry and Topology)
15 pages, 5030 KiB  
Article
Historic Grain Sorghum Production, Value, Yield Gap, and Weather Relation Trends
by Yared Assefa, Johnathan D. Holman, Augustine K. Obour, Daniel O’Brien and P. V. V. Prasad
Agronomy 2024, 14(11), 2582; https://doi.org/10.3390/agronomy14112582 - 1 Nov 2024
Viewed by 870
Abstract
There is limited information regarding the grain sorghum production trends from early in the millennium towards the 2020s. The main objective of this study was to quantify the grain sorghum production area, economic value, productivity, annual production variation, relationship with changing weather patterns, [...] Read more.
There is limited information regarding the grain sorghum production trends from early in the millennium towards the 2020s. The main objective of this study was to quantify the grain sorghum production area, economic value, productivity, annual production variation, relationship with changing weather patterns, and yield gap and to identify future areas of intervention and research. The results indicated that the grain sorghum production area in Kansas has increased in the most recent decade (2010–2022) at an average rate of 8 thousand ha year−1. With the current 1.2 million ha harvest area, Kansas continues to allocate more land area for sorghum than any other state in the USA. The average current annual economic value of sorghum in Kansas is USD 0.5 billion. The average sorghum grain productivity for recent years (2000–2022) was 4.3 Mg ha−1 in Kansas. The year-to-year yield variation in the grain sorghum average for Kansas in the years 1929–1956 was ±0.5 Mg ha−1 but increased to ±2 Mg ha−1 for the years 1957–2022. The results also showed a 66 to 96% yield gap between the actual yield (USDA data) and potential non-irrigated yield (Kansas State Grain Sorghum Hybrid Performance Trial data). There was a significant positive correlation between the July–August precipitation and a significant negative correlation between air temperatures and sorghum yield. We conclude that there was an increasing sorghum harvest area trend in Kansas for the years 2010 to 2022. Further research that identifies more unique and important agronomic and economic advantages of sorghum, increasing productivity per unit area across different environments, communicating existing benefits, and developing crop production management best practices are essential to sustain gains in the production area. Full article
(This article belongs to the Section Farming Sustainability)
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<p>Average grain sorghum total, irrigated, non-irrigated area planted and harvested from (<b>a</b>) 1929 to 2022, (<b>b</b>) 1929 to 2000, and (<b>c</b>) 2000 to 2022 in Kansas.</p>
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<p>Grain sorghum economic value from (<b>a</b>) 1949 to 2022, (<b>b</b>) 1949 to 1990, and (<b>c</b>) 1991 to 2022 in Kansas.</p>
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<p>Grain sorghum total production from (<b>a</b>) 1929 to 2022, (<b>b</b>) 1929 to 1979, and (<b>c</b>) 1980 to 2022 in Kansas.</p>
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<p>Grain sorghum average, irrigated, and non-irrigated yield ha<sup>−1</sup> from (<b>a</b>) 1929 to 2022, (<b>b</b>) 1929 to 1979, and (<b>c</b>) 1980 to 2022 in Kansas. Throughout this paper, trend line equations with NS are not significant, with * being significant at <span class="html-italic">p</span> &lt; 0.05, ** significant at <span class="html-italic">p</span> &lt; 0.01, and *** significant at <span class="html-italic">p</span>&lt; 0.001 probability level.</p>
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<p>Grain sorghum yield trend (top panel (<b>a</b>–<b>c</b>)) and yield distribution (lower panel (<b>d</b>–<b>f</b>)) for average (left panel (<b>a</b>,<b>d</b>)), irrigated (central panel (<b>b</b>,<b>e</b>)), and non-irrigated (right panel (<b>c</b>,<b>f</b>)) yield ha<sup>−1</sup> from 1929 to 2022 at nine agricultural districts of Kansas.</p>
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<p>Average grain sorghum yield trend for non-irrigated (left panel (<b>a</b>,<b>c</b>)) and irrigated (right panel (<b>b</b>,<b>d</b>)) yield ha<sup>−1</sup> from 1955 to 2022 (top panel (<b>a</b>,<b>b</b>)) and 2000 to 2022 (lower panel (<b>c</b>,<b>d</b>)) at Colby, Garden City, Hays, and Tribune Kansas Hybrid Sorghum Trials data. Trend line equations with NS are not significant, with * being significant at <span class="html-italic">p</span> &lt; 0.05, ** significant at <span class="html-italic">p</span> &lt; 0.01, and *** significant at <span class="html-italic">p</span> &lt; 0.001 probability level.</p>
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<p>Annual yield variability and trend in (<b>a</b>) USDA state average, (<b>b</b>) KGSHT non-irrigated, and (<b>c</b>) irrigated grain sorghum detrended yield using differencing data from USDA and trials at Colby, Garden City, Hays and Tribune, KS. Blue cone-shaped lines indicate how lower and upper margins of yield difference change over time despite an overall trendless variation. Throughout this paper, trend line equations with NS are not significant, with * being significant at <span class="html-italic">p</span> &lt; 0.05, ** significant at <span class="html-italic">p</span> &lt; 0.01, and *** significant at <span class="html-italic">p</span> &lt; 0.001 probability level.</p>
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<p>Yield gap analysis through relationship between actual (<b>a</b>) non-irrigated and (<b>b</b>) irrigated yield from Thomas, Finney, Ellis, and Greeley County USDA data and potential yield from variety trials at Colby, Garden City, Hays, and Tribune cities. Throughout this paper, trend line equations with NS are not significant, with * being significant at <span class="html-italic">p</span> &lt; 0.05, ** significant at <span class="html-italic">p</span> &lt; 0.01, and *** significant at <span class="html-italic">p</span> &lt; 0.001 probability level.</p>
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