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Search Results (206)

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22 pages, 1389 KiB  
Article
Leader-Following Output Feedback H Consensus of Fractional-Order Multi-Agent Systems with Input Saturation
by Hong-Shuo Xing, Driss Boutat and Qing-Guo Wang
Fractal Fract. 2024, 8(11), 667; https://doi.org/10.3390/fractalfract8110667 - 15 Nov 2024
Viewed by 364
Abstract
This paper investigates the leader-following H consensus of fractional-order multi-agent systems (FOMASs) under input saturation via the output feedback. Based on the bounded real lemma for FOSs, the sufficient conditions of H consensus for FOMASs are provided in [...] Read more.
This paper investigates the leader-following H consensus of fractional-order multi-agent systems (FOMASs) under input saturation via the output feedback. Based on the bounded real lemma for FOSs, the sufficient conditions of H consensus for FOMASs are provided in α0,1 and 1,2, respectively. Furthermore, the iterative linear matrix inequalities (ILMIs) approaches are applied for solving quadratic matrix inequalities (QMIs). The ILMI algorithms show a method to derive initial values and transform QMIs into LMIs. Mathematical tools are employed to transform the input saturation issue into optimal solutions of LMIs for estimating stable regions. The ILMI algorithms avoid the conditional constraints on matrix variables during the LMIs’ construction and reduce conservatism. The approach does not disassemble the entire MASs by transformations to the Laplacian matrix, instead adopting a holistic analytical perspective to obtain gain matrices. Finally, numerical examples are conducted to validate the efficiency of the approach. Full article
(This article belongs to the Section Engineering)
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Figure 1

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<p>Stability region of the system in (<a href="#FD6-fractalfract-08-00667" class="html-disp-formula">6</a>) and region of spec<math display="inline"><semantics> <mrow> <mo>(</mo> <mi>A</mi> <mo>)</mo> </mrow> </semantics></math>: (<b>a</b>) <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>∈</mo> <mfenced separators="" open="(" close=")"> <mn>0</mn> <mo>,</mo> <mn>1</mn> </mfenced> </mrow> </semantics></math> and (<b>b</b>) <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>∈</mo> <mfenced separators="" open="[" close=")"> <mn>1</mn> <mo>,</mo> <mn>2</mn> </mfenced> </mrow> </semantics></math>.</p>
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<p>The weighted undirected graph in example 1.</p>
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<p>The control input of each agent in example 1.</p>
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<p>The state of each agent in example 1.</p>
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<p>The state of each agent in example 1.</p>
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<p>The state of each agent in example 1.</p>
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<p>The state of error system in example 1.</p>
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<p>The weighted undirected graph in example 2.</p>
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<p>The control input of each agent in example 2.</p>
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<p>The state of each agent in example 2.</p>
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<p>The state of each agent in example 2.</p>
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<p>The state of each agent in example 2.</p>
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<p>The state of error system in example 2.</p>
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22 pages, 297 KiB  
Article
When Communicative Worlds Collide: Strategies for Negotiating Misalignments in Attentional Social Presence
by Jeanine Warisse Turner and Sonja K. Foss
Philosophies 2024, 9(6), 173; https://doi.org/10.3390/philosophies9060173 - 11 Nov 2024
Viewed by 476
Abstract
A significant issue facing communicators in the current multicommunicative environment is securing the attention of potential audience members who are likely to be engrossed in their digital devices. The theory of attentional social presence suggests that communicators secure their attention using one of [...] Read more.
A significant issue facing communicators in the current multicommunicative environment is securing the attention of potential audience members who are likely to be engrossed in their digital devices. The theory of attentional social presence suggests that communicators secure their attention using one of four types of social presence—budgeted, competitive, entitled, and invitational. In this essay, the theory of attentional social presence is extended by identifying strategies interactants use to resolve misalignments in expected or preferred types of social presence. The research design involved interviews with 32 individuals about their experiences with misalignment in attentional social presence. Transcripts of the interviews were coded following the qualitative approach of grounded theory. Three primary strategies emerged from the analysis—prescribing to eliminate misalignment, rationalizing to overlook misalignment, and co-creating to resolve misalignment. Understanding various methods for negotiating mismatches among chosen types of social presence will allow communicators to create more satisfying and productive interactions. Full article
(This article belongs to the Special Issue Philosophy and Communication Technology)
15 pages, 5949 KiB  
Article
Immunomodulatory Effects of a Prebiotic Formula with 2′-Fucosyllactose and Galacto- and Fructo-Oligosaccharides on Cyclophosphamide (CTX)-Induced Immunosuppressed BALB/c Mice via the Gut–Immune Axis
by Wanyun Ye, Hanxu Shi, Wentao Qian, Liping Meng, Meihua Wang, Yalin Zhou, Zhang Wen, Muke Han, Yile Peng, Hongliang Li and Yajun Xu
Nutrients 2024, 16(20), 3552; https://doi.org/10.3390/nu16203552 - 19 Oct 2024
Viewed by 1176
Abstract
Obejectives: This study explored the immunomodulatory effects of a prebiotic formula consisting of 2′-fucosyllactose (2′-FL), galacto-oligosaccharides (GOSs), and fructo-oligosaccharides (FOSs) (hereinafter referred to as 2FGF) in cyclophosphamide (CTX)-induced immunosuppressed BALB/c mice and its underlying mechanisms. Methods: Sixty healthy female BALB/c mice were randomly [...] Read more.
Obejectives: This study explored the immunomodulatory effects of a prebiotic formula consisting of 2′-fucosyllactose (2′-FL), galacto-oligosaccharides (GOSs), and fructo-oligosaccharides (FOSs) (hereinafter referred to as 2FGF) in cyclophosphamide (CTX)-induced immunosuppressed BALB/c mice and its underlying mechanisms. Methods: Sixty healthy female BALB/c mice were randomly divided into the following groups: normal control (NC) group; CTX treatment (CTX) group; 2FGF low-dose (2FGF-L) group; 2FGF medium-dose (2FGF-M) group; and 2FGF high-dose (2FGF-H) group. An immunosuppressed model was established in the 2FGF-H group by intraperitoneal injection of 80 mg/kg CTX. After 30 days of 2FGF intervention, peripheral blood, spleen tissue, thymus tissue, and intestinal tissue from the mice were collected and analyzed. The changes in weight and food intake of the mice were recorded weekly. Hematoxylin-eosin (HE) staining was used to observe the histological change of the spleen tissue. Enzyme-linked immunosorbent assay (ELISA) was employed to detect cytokine levels in peripheral blood. Flow cytometry was used to analyze T lymphocyte subgroup ratio of splenic lymphocytes. Western blot analysis was conducted on intestinal tissues to assess the expression of proteins involved in the tight junction, toll-like receptor 4 (TLR4), mitogen-activated protein kinase (MAPK), and nuclear factor kappa-light-chain-enhancer of activated B cell (NF-κB) signaling pathways. Additionally, molecular techniques were used to analyze the intestinal microbiota. Results: The results showed that 2FGF restored CTX-induced splenic injury, increased the number of splenic T lymphocytes, and elevated serum cytokines such as interleukin-4 (IL-4) and IL-10. In the intestine, 2FGF upregulated the expression of intestinal epithelial tight junction proteins such as Claudin-1 and zonula occludens 1 (ZO-1), thereby enhancing intestinal barrier function and activating the MAPK and NF-κB pathways via TLR4. Furthermore, 2FGF elevated the α-diversity (Shannon and Simpson indices) of the gut microbiota in CTX-induced immunosuppressed mice, enriching bacteria species positively correlated with anti-inflammatory cytokines (e.g., IL-4) such as g_Streptomyces and g_Bacillus and negatively correlated with pro-inflammatory cytokines (e.g., IL-1β) such as g_Saccharomyces. The results suggest that 2FGF may enhance immunity via the gut–immune axis. Conclusions: The 2FGF prebiotic formula showed an immunomodulatory effect in CTX-induced immunosuppressed mice, and the mechanism of which might involve optimizing the gut flora, enhancing intestinal homeostasis, strengthening the intestinal barrier, and promoting the expression of immune factors by regulating the TLR-4/MAPK/NF-κB pathway. Full article
(This article belongs to the Section Nutritional Immunology)
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<p>The effect of 2FGF on body weight (<b>A</b>), food intake (<b>B</b>), immune organ indices (<b>C</b>), histological observation of the spleen (original magnification: ×40) (<b>D</b>), and splenic T lymphocyte subgroups in CTX-induced immunosuppressed mice (<b>E</b>). NC, normal control group; CTX, CTX-induced immunosuppressed model group; 2FGF-L, 2FGF (2′-FL/GOS/FOS = 1:3:3) administered at 1 g/kg bw; 2FGF-M, 2FGF administered at 2 g/kg bw; 2FGF-H, 2FGF administered at 4 g/kg bw. The yellow arrows in (<b>D</b>) indicate the boundaries of the red and white pulp of the spleen. Data are presented as means ± standard deviations (n = 12). Significant differences compared to the NC group are indicated by * (<span class="html-italic">p</span> &lt; 0.05), and significant differences compared to the CTX group are indicated by # (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The effect of 2FGF on the protein expression of Claudin-1 and ZO-1 (<b>A</b>), TLR-4, <span class="html-italic">p</span>-p38, p38, <span class="html-italic">p</span>-ERK, ERK, <span class="html-italic">p</span>-JNK, JNK, <span class="html-italic">p</span>-p65, and p65 in the large intestines (ascending colon) of CTX-induced immunosuppressed mice (<b>B</b>), with representative Western blot images (<b>C</b>). Data are presented as means ± standard deviations (n = 3). Significant differences compared to the NC group are indicated by * (<span class="html-italic">p</span> &lt; 0.05) and ** (<span class="html-italic">p</span> &lt; 0.01), and significant differences compared to the CTX group are indicated by # (<span class="html-italic">p</span> &lt; 0.05) and ## (<span class="html-italic">p</span> &lt; 0.01).</p>
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<p>The effect of 2FGF on the Shannon index (<b>A</b>), Simpson index (<b>B</b>), PCoA analysis (<b>C</b>), phylum-level relative abundance (<b>D</b>), and species-level relative abundance (<b>E</b>) of the gut microbiota in CTX-induced immunosuppressed mice. Data are presented as means ± standard deviations (n = 8). Significant differences compared to the NC group are indicated by * (<span class="html-italic">p</span> &lt; 0.05) and ** (<span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Histogram of LDA scores (<b>A</b>). Correlation analysis between differential genera and cytokines (<b>B</b>). Red indicates a positive correlation, and blue indicates a negative correlation. Significant differences are indicated by * (<span class="html-italic">p</span> &lt; 0.05) and ** (<span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Histogram of LDA scores (<b>A</b>). Correlation analysis between differential genera and cytokines (<b>B</b>). Red indicates a positive correlation, and blue indicates a negative correlation. Significant differences are indicated by * (<span class="html-italic">p</span> &lt; 0.05) and ** (<span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Possible immunomodulatory mechanism of the 2FGF prebiotic formula in CTX-induced immunosuppressed mice.</p>
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15 pages, 1416 KiB  
Article
Potential Prebiotic Effects of Artemisia capillaris-Derived Transglycosylated Product
by Heewon Moon, Keunsoo Kang and Misook Kim
Foods 2024, 13(20), 3267; https://doi.org/10.3390/foods13203267 - 14 Oct 2024
Viewed by 794
Abstract
This study investigated the impact of a transglycosylated product (ACOD) catalyzed by Leuconostoc mesenteroides MKSR dextransucrase using sucrose as a glucosyl donor and both maltose and Artemisia capillaris as acceptors on gut microbiota through fecal fermentation. ACOD promoted the growth of probiotics such [...] Read more.
This study investigated the impact of a transglycosylated product (ACOD) catalyzed by Leuconostoc mesenteroides MKSR dextransucrase using sucrose as a glucosyl donor and both maltose and Artemisia capillaris as acceptors on gut microbiota through fecal fermentation. ACOD promoted the growth of probiotics such as Lactiplantibacillus plantarum, Lacticaseibacillus casei, Lacticaseibacillus rhamnosus GG, and Leuconostoc mesenteroides MKSR, while inhibiting the growth of pathogenic bacteria such as Escherichia coli, E. coli O157:H7, Enterococcus faecalis, Listeria monocytogenes, Staphylococcus aureus, Shigella flexneri, Streptococcus mutans, Pseudomonas aeruginosa, and Bacillus cereus during independent cultivation. Fecal fermentation for 24 h revealed that ACOD significantly increased the production of short-chain fatty acids (SCFAs) compared to the blank and fructoooligosaccharide (FOS) groups. Specifically, ACOD led to a 4.5-fold increase in acetic acid production compared to FOSs and a 3.3-fold increase in propionic acid production. Both the ACOD and FOS groups exhibited higher levels of butyric acid than the blank. Notably, ACOD significantly modulated the composition of the gut microbiota by increasing the relative abundances of Lactobacillus and decreasing Escherichia/Shigella and Salmonella. In contrast, FOSs remarkably promoted the growth of Salmonella. These findings suggest that ACOD is a potential candidate for prebiotics that improve the intestinal environment by being actively used by beneficial bacteria. Full article
(This article belongs to the Special Issue Bio-Functional Properties of Lactic Acid Bacteria in Functional Foods)
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<p>Differential growth of bacterial strains on ACOD, OD, and AC. (<b>a</b>) Inhibition rate of pathogenic bacteria growth by ACOD, OD, and AC; (<b>b</b>) Fold change of probiotic bacteria growth by ACOD, OD, and AC. ACOD is a transglycosylation product of sucrose and maltose in the presence of <span class="html-italic">Artemisia capillaris</span> catalyzed by <span class="html-italic">Leu. mesenteroides</span> MKSR dextransucrase; OD is a transglycosylation product of sucrose and maltose catalyzed by MKSR dextransucrase; AC is hot water extracted <span class="html-italic">A. capillaris</span>. All values are mean ± standard deviation (<span class="html-italic">n</span> = 3). Different capital letters are significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Taxonomic composition of gut microbiota during in vitro fermentation. (<b>a</b>) Stacked bar plot shows the relative abundance at the phylum level; (<b>b</b>) Pie chart shows the average relative abundance at the phylum level. AB~DB, The blank control (no additional carbon source supplement); AP~DP, the positive control (the fructooligosaccharides (FOS) supplement); AS~DS, the experimental group (the <span class="html-italic">Artemisia capillaris</span>-derived transglycosylated product (ACOD) supplement).</p>
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<p>The relative abundance of the bacterial community at the genus level. AB~DB, The blank control (no additional carbon source supplement); AP~DP, the positive control (the fructooligosaccharides (FOS) supplement); AS~DS, the experimental group (the <span class="html-italic">Artemisia capillaris</span>-derived transglycosylated product (ACOD) supplement).</p>
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15 pages, 3823 KiB  
Article
NIR Spectroscopy for the Online Monitoring of Water and Olive Oil Content in Pomace during the Extraction Process
by Alessandro Leone, Antonio Berardi, Giovanni Antonelli, Cosimo Damiano Dellisanti and Antonia Tamborrino
Appl. Syst. Innov. 2024, 7(5), 96; https://doi.org/10.3390/asi7050096 - 6 Oct 2024
Viewed by 664
Abstract
The main challenge of this scientific work was the implementation on an industrial olive oil extraction plant of an NIR device for the multispectral analysis of pomace to predict the percentage of humidity and oil contained in it. Subsequent to the implementation of [...] Read more.
The main challenge of this scientific work was the implementation on an industrial olive oil extraction plant of an NIR device for the multispectral analysis of pomace to predict the percentage of humidity and oil contained in it. Subsequent to the implementation of the NIR device on the oil extraction line on the solid’s outlet from the decanter, NIRS interaction measurements in the 761–1081 nm region were used to probe the pomace. NIRS calibration models for the prediction of water and oil content in the pomace were obtained and successfully tested and validated. The correlations of calibration results for oil and water content were 0.700 and 0.829, while the correlations of validation were 0.773 and 0.676, respectively. Low values of root mean square error were found for both the prediction and validation set. The results highlight the good robustness of an NIR approach based on a PLS calibration model to monitor the industrial olive oil process. The results obtained are a first step toward the large-scale implementation of NIR devices for monitoring pomace in oil mills. The possibility of knowing the oil lost in the pomace, moment by moment, would open a new frontier towards system control and the sustainability of the olive oil extraction process. Full article
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<p>Layout of extraction plant: 1 defoliator, 2 hammer crushers, 3 piston pumps, 4 malaxing machines, 5 cavity pump stator, 6 horizontal centrifugal decanter, 7 vertical separator, 8 NIR probe.</p>
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<p>(<b>a</b>) Transmittance interface probe of the NIR tool scheme: 1 horizontal centrifugal decanter, 2 piston pumps, 3 NIR probe, 4 PC, 5 wi-fi transmitter. (<b>b</b>) Transmittance interface probe of the NIR tool photo.</p>
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<p>NIR spectra of the dataset in the region 850–1049 nm: (<b>a</b>) raw spectra; (<b>b</b>) spectra normalized with SNV.</p>
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<p>GH value for the NIR spectra of olive pomace.</p>
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<p>PLS cross-validation for oil content: (<b>a</b>) RMSECV vs number of components, (<b>b</b>) measured vs predicted values, (<b>c</b>) reference outliers Blue dots: measured vs predicted values, for each sample. Red cross: reference outlier sample. Dashed line: trend line of PLS model.</p>
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<p>PLS cross-validation for oil content: (<b>a</b>) RMSECV vs number of components, (<b>b</b>) measured vs predicted values, (<b>c</b>) reference outliers Blue dots: measured vs predicted values, for each sample. Red cross: reference outlier sample. Dashed line: trend line of PLS model.</p>
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<p>Measured vs predicted values for oil content in the pomace: (<b>a</b>) calibration set; (<b>b</b>) validation set. Blue dots: measured vs predicted values for each sample. Dashed line: trend line of PLS model.</p>
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<p>Measured vs predicted values for oil content in the pomace: (<b>a</b>) calibration set; (<b>b</b>) validation set. Blue dots: measured vs predicted values for each sample. Dashed line: trend line of PLS model.</p>
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<p>Measured vs predicted values for humidity in pomace: (<b>a</b>) calibration set; (<b>b</b>) validation set. Blue dots: measured vs predicted values for each sample. Dashed line: trend line of PLS model.</p>
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18 pages, 2625 KiB  
Article
Detection of PCV2d in Vaccinated Pigs in Colombia and Prediction of Vaccine T Cell Epitope Coverage against Circulating Strains Using EpiCC Analysis
by Diana S. Vargas-Bermudez, Alixs Constanza Gil-Silva, María F. Naranjo-Ortíz, José Darío Mogollón, Jair F. Gómez-Betancur, José F. Estrada, Álvaro Aldaz, Harold Garzón-González, José Angulo, Dennis Foss, Andres H. Gutierrez and Jairo Jaime
Vaccines 2024, 12(10), 1119; https://doi.org/10.3390/vaccines12101119 - 29 Sep 2024
Viewed by 759
Abstract
Porcine circovirus type 2 (PCV2) is strongly linked to a group of syndromes referred to as porcine-circovirus-associated diseases (PCVADs), which are controlled through vaccination; however, this does not induce sterilizing immunity but is instead involved in the evolution of the virus and is [...] Read more.
Porcine circovirus type 2 (PCV2) is strongly linked to a group of syndromes referred to as porcine-circovirus-associated diseases (PCVADs), which are controlled through vaccination; however, this does not induce sterilizing immunity but is instead involved in the evolution of the virus and is considered a factor in vaccine failure. This study sampled 84 herds (167 pigs) vaccinated against PCV2 and with clinical signs of PCVADs in five provinces across Colombia. PCV2 was identified and further characterized at the molecular level via genotyping and phylogenetic reconstructions. In addition, PCV2-associated lesions were examined via histopathology. Furthermore, the PCV2-Cap sequences retrieved were compared with three vaccines via the EpiCC tool and T cell epitope coverage. The prevalence of PCV2 was 82% in pigs and 92.9% in herds. The highest viral loads were identified in lymphoid tissue, and PCV2d emerged as the most predominant in pigs and herds (93.4% and 92.3%). Sequences for PCV2-ORF2 (n = 57; 55 PCV2d and 2 PCV2a) were determined, and PCV2d sequences were highly similar. The most common pneumonia pattern was suppurative bronchopneumonia, while the most common lung lesion was exudation in the airways; in lymphoid tissue, there was lymphoid depletion. The bivalent vaccine (PCV2a and PCVb) exhibited a higher EpiCC score (8.36) and T cell epitope coverage (80.6%) than monovalent PCV2a vaccines. In conclusion, PCV2d currently circulates widely in Colombia. Despite vaccination, there are clinical cases of PCV2, and immunoinformatic analyses demonstrate that bivalent vaccines improved the average coverage. Full article
(This article belongs to the Special Issue Porcine Virus and Vaccines)
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<p>Prevalence via real-time PCR of PCV2 in pigs and herds. (<b>A</b>) PCV2 prevalence among pigs (total <span class="html-italic">n</span> = 167; PCV2-negative <span class="html-italic">n</span> = 30; PCV2-positive <span class="html-italic">n</span> = 137) and within PCV2-positive pigs, the percentages of high-PCV2 (PCVAD) and low-PCV2 (non-PCVAD) viral load are indicated. (<b>B</b>) PCV2 among herds (total <span class="html-italic">n</span> = 84; PCV2-negative <span class="html-italic">n</span> = 6; PCV2-positive <span class="html-italic">n</span> = 78) and within PCV2-positive herds, the percentages of high-PCV2 (PCVAD) and low-PCV2 (non-PCVAD) viral load are indicated. Pigs and herds were both categorized as PCV2-negative if PCV2-DNA was not identified; low-PCV2 if PCV2-DNA was under 5.19 log10 copies/mL or g for serum and the tissues, respectively, and high-PCV2 if it was above 5.20 log10 copies/mL or g for serum and the tissues, respectively.</p>
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<p>Detection of PCV2 in serum samples (<span class="html-italic">n</span> = 147), lymph nodes (<span class="html-italic">n</span> = 150), spleen (<span class="html-italic">n</span> = 150), and lungs (<span class="html-italic">n</span> = 160). (<b>A</b>) Prevalence via real-time PCR in samples. (<b>B</b>) PCV2 viral loads (log10 copies/mL or g for serum and the tissues, respectively) in the collected samples; the horizontal bars correspond to the average viral load within the sample type, and the vertical bars correspond to the minimum and maximum values of viral loads identified.</p>
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<p>PCV2 viral loads (log10 copies/mL or g for serum and the tissues, respectively) in pigs from herds vaccinated against PCV2 in Colombia. (<b>A</b>) PCV2 viral loads associated with the type of vaccine applied against PCV2 [chimeric (<span class="html-italic">n</span> = 34); inactivated whole virus (WV) (<span class="html-italic">n</span> = 9) and subunit (<span class="html-italic">n</span> = 124)]. (<b>B</b>) PCV2 viral loads associated with the two vaccination protocols [one dose (<span class="html-italic">n</span> = 124) and two doses (<span class="html-italic">n</span> = 43)] against PCV2 employed in Colombia.</p>
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<p>Prevalence of the PCV2 genotypes in the pigs (<span class="html-italic">n</span> = 137) as well as in the herds (<span class="html-italic">n</span> = 78) that were PCV2-positive. The presence of PCV2 is indicated in the form of single infections (a single genotype) and coinfections (at least two genotypes in the same pig).</p>
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<p>Maximum likelihood phylogenetic tree of 22 PCV2-ORF2 sequences determined in Colombia (2 PCV2a and 20 PCV2d), inferred based on the alignment among the nucleotide sequences. The tree was constructed via ML analysis using the Tamura 3 parameter with gamma distribution, and tree topology was evaluated with 1000 bootstrap replicates. The sequences in red font corresponded to the Colombian ones determined in this study and were juxtaposed with 53 sequences available in the NCBI GenBank nucleotide database.</p>
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<p>EpiCC scores for three vaccines targeting 57 Colombian strains. Each axis corresponds to the PCV2 Cap of one virus. Axis labels are NCBI GenBank database accession numbers. Baseline EpiCC scores for each strain are represented as open circles. EpiCC scores for each vaccine are indicated in distinct colors. Strains are sorted by province and collection date.</p>
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12 pages, 1331 KiB  
Article
Multimodal Interference-Based Fiber Optic Sensors for Glucose and Moisture Content Detection in Honey
by Mayeli Anais Pérez-Rosas, Yahir Nicolás García-Guevara, Yadira Aracely Fuentes-Rubio, René Fernando Domínguez-Cruz, Oscar Baldovino-Pantaleón and Gerardo Romero-Galván
Appl. Sci. 2024, 14(17), 7914; https://doi.org/10.3390/app14177914 - 5 Sep 2024
Viewed by 633
Abstract
Fiber optic sensors (FOSs) have transformed industrial applications with their high sensitivity and precision, especially in real-time monitoring. This study presents a fiber optic sensor based on multimodal interference (MMI) applied to detect honey adulteration. The sensor is built using a non-core multimode [...] Read more.
Fiber optic sensors (FOSs) have transformed industrial applications with their high sensitivity and precision, especially in real-time monitoring. This study presents a fiber optic sensor based on multimodal interference (MMI) applied to detect honey adulteration. The sensor is built using a non-core multimode fiber (NC-MMF) segment spliced between two standard single-mode fibers (SMFs). We focus on reporting the detection of two main adulterants in honey that modify its refractive index (RI): the presence of glucose and moisture content. Detailed testing was performed with two commercially approved honey brands, named A and B. The sensor successfully detected glucose concentrations from 1% to 5% and moisture content from 0% to 20% for both brands. For glucose detection, we obtained sensitivity values −0.55457 nm/% for brand A and −2.61257 nm/% for brand B. In terms of moisture content in honey, we observed a sensitivity around −0.3154 nm/% and −0.3394 nm/% for brands A and B, respectively. Additionally, temperature tests were performed, showing that the sensor works optimally up to 30 °C. The results were validated using a conventional refractometer, showing a close agreement with the data obtained and confirming the reliability and accuracy of the proposed sensor. Compared to other refractometers, the MMI sensor offers advantages such as real-time monitoring, ease of assembly, cost-effectiveness, and minimal maintenance. Furthermore, the sensor represents an alternative tool to guarantee the quality and authenticity of honey, overcoming the limitations of conventional measurement techniques. Full article
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<p>Schematic representation of the SMS fiber optic sensor configuration (sketched by the authors).</p>
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<p>Experimental array to test SMS structure. The inset shows in detail the spectrum of the SMS sensor.</p>
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<p>Spectral response of the SMS sensor, as a reference the spectral response in the initial condition is also represented, that is, when the sensor is surrounded by air. (<b>a</b>) Sensor response for brand A honey mixtures with glucose adulteration. (<b>b</b>) Sensor response for brand A honey mixtures with different moisture contents.</p>
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<p>Spectral shift of the maximum wavelength and refractive index (RI) relative to the initial condition, based on the two types of adulteration analyzed: glucose and moisture content in honey for the two honey brands examined. (<b>a</b>) Measurement of brand A honey adulterated with glucose using the SMS sensor versus a refractometer. (<b>b</b>) Measurement of brand B honey adulterated with glucose using the SMS sensor versus a refractometer. (<b>c</b>) Measurement of brand A honey adulterated with distilled water (moisture content) using the SMS sensor versus a refractometer. (<b>d</b>) Measurement of brand B honey adulterated with distilled water (moisture content) using the SMS sensor versus a refractometer.</p>
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10 pages, 1172 KiB  
Review
Clinical and Histologic Variants of CD8+ Cutaneous T-Cell Lymphomas
by Madisen A. Swallow, Goran Micevic, Amanda Zhou, Kacie R. Carlson, Francine M. Foss and Michael Girardi
Cancers 2024, 16(17), 3087; https://doi.org/10.3390/cancers16173087 - 5 Sep 2024
Viewed by 895
Abstract
Although the vast majority of CTCL subtypes are of the CD4+ T-helper cell differentiation phenotype, there is a spectrum of CD8+ variants that manifest wide-ranging clinical, histologic, and phenotypic features that inform the classification of the disease. CD8, like CD4, and cytotoxic molecules [...] Read more.
Although the vast majority of CTCL subtypes are of the CD4+ T-helper cell differentiation phenotype, there is a spectrum of CD8+ variants that manifest wide-ranging clinical, histologic, and phenotypic features that inform the classification of the disease. CD8, like CD4, and cytotoxic molecules (including TIA and granzyme) are readily detectable via IHC staining of tissue and, when expressed on the phenotypically abnormal T-cell population, can help distinguish specific CTCL subtypes. Nonetheless, given that the histopathologic differential for CD8+ lymphoproliferative disorders and lymphomas may range from very indolent lymphomatoid papulosis (LyP) to aggressive entities like CD8+ aggressive epidermotropic cytotoxic T-cell lymphoma (AECTCL), CD8 and/or cytotoxic molecule expression alone is insufficient for diagnosis and is not in itself an indicator of prognosis. We present a review of CTCL subtypes that can demonstrate CD8 positivity: CD8+ mycosis fungoides (MF), LyP type D, subcutaneous panniculitis-like T-cell lymphoma (SPTCL), primary cutaneous gamma/delta T-cell lymphoma (PCGDTL), CD8+ AECTCL, and acral CD8+ T-cell lymphoproliferative disorder (acral CD8+ TCLPD). These diseases may have different clinical manifestations and distinctive treatment algorithms. Due to the rare nature of these diseases, it is imperative to integrate clinical, histologic, and immunohistochemical findings to determine an accurate diagnosis and an appropriate treatment plan. Full article
(This article belongs to the Special Issue Cutaneous Lymphoma)
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<p>The cutaneous T-cell lymphoma entities divided into typically CD4-positive and CD8-positive lymphomas.</p>
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<p>When constructing a diagnostic decision tree for CD8+ T-cell lymphoma, it is crucial to consider the key distinguishing features, particularly immunohistochemistry (IHC) differences and clinical decision points. The IHC differences, shown in the diamonds, include cytotoxic markers such as granzyme and TIA, as well as CD30 positivity. Clinical decision points, shown in rectangles, are also essential components of the decision-making process. Together, these elements help in accurately differentiating and diagnosing CD8+ T-cell lymphoma.</p>
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10 pages, 926 KiB  
Article
Bond Strength of Composite Resin to Bioceramic Cements: An In Vitro Study
by Alejandra Alvarado-Orozco, Louis Hardan, Rim Bourgi, Ana Josefina Monjarás-Ávila, Carlos Enrique Cuevas-Suárez, Laura Emma Rodríguez-Vilchis, Antoun Farrayeh, Blanca Irma Flores-Ferreyra, Rosalía Contreras-Bulnes, Youssef Haikel and Naji Kharouf
Ceramics 2024, 7(3), 1137-1146; https://doi.org/10.3390/ceramics7030074 - 23 Aug 2024
Viewed by 922
Abstract
Bioceramic endodontic cements, known for their antibacterial properties, calcium ion release, and alkaline pH, may come into contact with various irrigants after furcal perforation repair. This study aimed to evaluate the effect of different irrigating solutions and setting times on the shear bond [...] Read more.
Bioceramic endodontic cements, known for their antibacterial properties, calcium ion release, and alkaline pH, may come into contact with various irrigants after furcal perforation repair. This study aimed to evaluate the effect of different irrigating solutions and setting times on the shear bond strength (SBS) of Biodentine® (Septodont, Saint-Maur-des-Fosses Cedex, France) to a self-adhering flowable composite. Sixty Biodentine® (Septodont, Saint-Maur-des-Fosses Cedex, France) blocks were prepared and divided into two groups based on the setting time: 72 h and 7 days. These were further subdivided into five subgroups based on the irrigation solution applied: distilled water, sodium hypochlorite, ethylenediaminetetraacetic acid, chlorhexidine, and phosphoric acid. They were then restored with Dyad FlowTM (KerrTM, Orange, CA, USA). SBS and failure modes were assessed at 24 h and 6 months. A two-way analysis of variance (ANOVA) test was performed to analyze the effect of the different irrigating solutions and setting times on the SBS of Biodentine® (Septodont, Saint-Maur-des-Fosses Cedex, France) and Dyad FlowTM (KerrTM, Orange, CA, USA). The level of significance was set at a ≤0.05. At 24 h, SBS was significantly influenced by both the irrigant solution (p = 0.029) and setting time (p = 0.018); at 6 months, SBS was influenced only by the irrigating solutions (p < 0.001). The predominant mode of bond failure was adhesive across all groups. In conclusion, while the setting time did not affect the bond strength, certain irrigating solutions reduced it. Thus, careful consideration of surface treatments applied to Biodentine® is crucial for successful endodontic and restorative outcomes. Full article
(This article belongs to the Special Issue Advances in Ceramics, 2nd Edition)
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<p>Diagram of the shear bond strength test. Red arrows indicate the direction of the force.</p>
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<p>Shear bond strength (MPa) measured after 24 h of the Dyad Flow<sup>TM</sup> application over a Biodentine<sup>®</sup> cylinder as a function of the setting time of the material (72 h and 7 days) and the irrigant solution used. The bars under the same horizontal line indicate that no statistically significant differences between the 72 h and the 7-day setting time of the bioceramic material were observed. Lowercase letters indicate differences between the irrigating solutions when they were applied to the bioceramic material and set for 72 h. Capital letters indicate differences between the irrigating solutions when they were applied to the bioceramic material and set for 7 days.</p>
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<p>Shear bond strength (MPa) measured after 6 months of the Dyad Flow<sup>TM</sup> application over a Biodentine® cylinder as a function of the setting time of the material (72 h and 7 days) and the irrigant solution used. The bars under the same horizontal line indicate that no statistically significant differences between the 72 h and the 7-day setting time of the bioceramic material were observed. Lowercase letters indicate differences between the irrigating solutions when they were applied to the bioceramic material and set for 72 h. Capital letters indicate differences between the irrigating solutions when they were applied to the bioceramic material and set for 7 days.</p>
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20 pages, 5790 KiB  
Article
FOMCON Toolbox-Based Direct Approximation of Fractional Order Systems Using Gaze Cues Learning-Based Grey Wolf Optimizer
by Bala Bhaskar Duddeti, Asim Kumar Naskar, Veerpratap Meena, Jitendra Bahadur, Pavan Kumar Meena and Ibrahim A. Hameed
Fractal Fract. 2024, 8(8), 477; https://doi.org/10.3390/fractalfract8080477 - 15 Aug 2024
Cited by 1 | Viewed by 920
Abstract
This study discusses a new method for the fractional-order system reduction. It offers an adaptable framework for approximating various fractional-order systems (FOSs), including commensurate and non-commensurate. The fractional-order modeling and control (FOMCON) toolbox in MATLAB and the gaze cues learning-based grey wolf optimizer [...] Read more.
This study discusses a new method for the fractional-order system reduction. It offers an adaptable framework for approximating various fractional-order systems (FOSs), including commensurate and non-commensurate. The fractional-order modeling and control (FOMCON) toolbox in MATLAB and the gaze cues learning-based grey wolf optimizer (GGWO) technique form the basis of the recommended method. The fundamental advantage of the offered method is that it does not need intermediate steps, a mathematical substitution, or an operator-based approximation for the order reduction of a commensurate and non-commensurate FOS. The cost function is set up so that the sum of the integral squared differences in step responses and the root mean squared differences in Bode magnitude plots between the original FOS and the reduced models is as tiny as possible. Two case studies support the suggested method. The simulation results show that the reduced approximations constructed using the methodology under consideration have step and Bode responses more in line with the actual FOS. The effectiveness of the advocated strategy is further shown by contrasting several performance metrics with some of the contemporary approaches disseminated in academic journals. Full article
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<p>Proposed and existing approaches for approximation and MOR of FOSs.</p>
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<p>Block diagram representation of the proposed direct reduced model approximation process.</p>
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<p>A flowchart of the proposed reduction algorithm.</p>
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<p>Comparisons of the step responses for Example 1 [<a href="#B64-fractalfract-08-00477" class="html-bibr">64</a>,<a href="#B65-fractalfract-08-00477" class="html-bibr">65</a>,<a href="#B66-fractalfract-08-00477" class="html-bibr">66</a>].</p>
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<p>Comparisons of the frequency responses for Example 1 [<a href="#B64-fractalfract-08-00477" class="html-bibr">64</a>,<a href="#B65-fractalfract-08-00477" class="html-bibr">65</a>,<a href="#B66-fractalfract-08-00477" class="html-bibr">66</a>].</p>
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<p>Comparisons of the step responses for Example 2 [<a href="#B20-fractalfract-08-00477" class="html-bibr">20</a>,<a href="#B22-fractalfract-08-00477" class="html-bibr">22</a>].</p>
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<p>Comparisons of the frequency responses for Example 2 [<a href="#B13-fractalfract-08-00477" class="html-bibr">13</a>].</p>
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<p>Plots showing instability regions of the original system and proposed reduced models for Example 1.</p>
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<p>Plots showing instability regions of the original system and proposed reduced models for Example 2.</p>
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13 pages, 5777 KiB  
Article
Characterization and Degradation of Perovskite Mini-Modules
by R. Ebner, A. Mittal, G. Ujvari, M. Hadjipanayi, V. Paraskeva, G. E. Georghiou, A. Hadipour, A. Aguirre and T. Aernouts
Inorganics 2024, 12(8), 219; https://doi.org/10.3390/inorganics12080219 - 15 Aug 2024
Viewed by 872
Abstract
Organic–inorganic hybrid metal halide perovskites are poised to revolutionize the next generation of photovoltaics with their exceptional optoelectronic properties and compatibility with low-cost and large-scale fabrication methods. Since perovskite tends to degrade over short time intervals due to various parameters (oxygen, humidity, light, [...] Read more.
Organic–inorganic hybrid metal halide perovskites are poised to revolutionize the next generation of photovoltaics with their exceptional optoelectronic properties and compatibility with low-cost and large-scale fabrication methods. Since perovskite tends to degrade over short time intervals due to various parameters (oxygen, humidity, light, and temperature), advanced characterization methods are needed to understand their degradation mechanisms. In this context, investigation of the electrical and optoelectronic properties of several perovskite mini-modules was performed by means of photo- and electroluminescence imaging as well as Dark Lock-In Thermography methods. Current–voltage curves at periodic time intervals and External Quantum Efficiency measurements were implemented alongside other measurements to reveal correlations between the electrical and radiative properties of the solar cells. The different imaging techniques used in this study reveal the changes in radiative emission processes and how those are correlated with performance. Alongside the indoor optoelectronic characterization of perovskite reference samples, the outdoor monitoring of two perovskite modules of the same structure for 23 weeks is reported. Significant performance degradation is presented outdoors from the first week of testing for both samples under test. The evolution of the major electrical characteristics of the mini-modules and the diurnal changes were studied in detail. Finally, dark storage recovery studies after outdoor exposure were implemented to investigate changes in the major electrical parameters. Full article
(This article belongs to the Special Issue The State of the Art of Research on Perovskites Materials)
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<p>(<b>a</b>) PIN structure of each sub-cell. (<b>b</b>) Cross-section of mini-module.</p>
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<p>Perovskite mini-module: front side (<b>left</b>) and back side (<b>right</b>).</p>
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<p>Perovskite mini-modules located outdoors and tested side by side.</p>
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<p>Aging behavior of the perovskite mini-modules.</p>
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<p>Spatially resolved EL images of mini-module “S10” before (<b>left</b>) and after (<b>right</b>) DLIT measurements in October 2021.</p>
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<p>Spatially resolved EL images in September 2021 (<b>left</b>) and January 2024 (<b>right</b>) in mini-modules (<b>a</b>) S9, (<b>b</b>) S10, and (<b>c</b>) S12.</p>
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<p>Efficiency degradation of modules (<b>a</b>) against time of exposure and (<b>b</b>) after one week of outdoor testing.</p>
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<p>A typical example of IV curves collected from perovskite mini-module S7. At each instant, forward and reverse scan sweeps are collected. The IV curves correspond to the 2nd day of outdoor testing (27 August 2021, 10:33 a.m.). Forward curve was implemented first (black arrow) and then reverse curve (red arrow).</p>
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<p>(<b>a</b>) Short-circuit current and (<b>b</b>) open-circuit voltage evolution over time for the perovskite mini-modules under testing.</p>
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<p>Diurnal performance degradation versus efficiency values for mini-modules (<b>a</b>) S6 and (<b>b</b>) S7.</p>
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<p>The hysteresis index at different months of outdoor exposure for modules (<b>a</b>) S6 and (<b>b</b>) S7. The data are separated into morning (before 12 a.m.) and evening acquisition (after 12 a.m.) for more detailed analysis.</p>
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<p>(<b>a</b>) Total irradiation received by the modules over time and (<b>b</b>) the mean ambient temperature at different days of exposure.</p>
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14 pages, 21096 KiB  
Article
Hydroelectric Plant Safety: Real-Time Monitoring Utilizing Fiber-Optic Sensors
by Renato Luiz Faraco, Felipe Barino, Deivid Campos, Guilherme Sampaio, Leonardo Honório, André Marcato, Alexandre Bessa dos Santos, Clayton Cesar dos Santos and Fernando Hamaji
Sensors 2024, 24(14), 4601; https://doi.org/10.3390/s24144601 - 16 Jul 2024
Viewed by 819
Abstract
In the context of hydroelectric plants, this article emphasizes the imperative of robust monitoring strategies. The utilization of fiber-optic sensors (FOSs) emerges as a promising approach due to their efficient optical transmission, minimal signal attenuation, and resistance to electromagnetic interference. These optical sensors [...] Read more.
In the context of hydroelectric plants, this article emphasizes the imperative of robust monitoring strategies. The utilization of fiber-optic sensors (FOSs) emerges as a promising approach due to their efficient optical transmission, minimal signal attenuation, and resistance to electromagnetic interference. These optical sensors have demonstrated success in diverse structures, including bridges and nuclear plants, especially in challenging environments. This article culminates with the depiction of the development of an array of sensors featuring Fiber Bragg Gratings (FBGs). This array is designed to measure deformation and temperature in protective grids surrounding the turbines at the Santo Antônio Hydroelectric Plant. Implemented in a real-world scenario, the device identifies deformation peaks, indicative of water flow obstructions, thereby contributing significantly to the safety and operational efficiency of the plant. Full article
(This article belongs to the Section Optical Sensors)
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<p>(<b>a</b>) Spectral verification of the sensor array; (<b>b</b>) interrogation device used in conjunction with the coil and array; (<b>c</b>) PLA layer of the connector (inner layer); (<b>d</b>) prepared connector.</p>
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<p>Deformation Test Setup.</p>
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<p>Schematic representation of the setup designed for conducting tests at the hydroelectric power plant.</p>
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<p>Array installation process on the hydroelectric plant grid: (<b>a</b>) installation moment, (<b>b</b>) array in place.</p>
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<p>Spectral analysis of the optical sensors during the deformation test.</p>
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<p>Strain calibration curves for the temperature and strain sensors.</p>
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<p>Relationship between applied load and time for the temperature sensor and two strain sensors, illustrating their sensitivity to deformation.</p>
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<p>Calibration curves for temperature.</p>
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<p>Strain history capturing the descent.</p>
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<p>Time series of sensors during the macrophyte event.</p>
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<p>Macrophyte encounter: optical image.</p>
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13 pages, 1939 KiB  
Article
Supplementation of Vitamin D3 and Fructooligosaccharides Downregulates Intestinal Defensins and Reduces the Species Abundance of Romboutsia ilealis in C57BL/6J Mice
by Tyler Hanson, Ethan Constantine, Zack Nobles, Emily Butler, Karisa M. Renteria, Chin May Teoh and Gar Yee Koh
Nutrients 2024, 16(14), 2236; https://doi.org/10.3390/nu16142236 - 11 Jul 2024
Viewed by 1244
Abstract
The activation of the vitamin D receptor (VDR) in the ileum has been shown to regulate Paneth cell-specific defensins, a large family of antimicrobial peptides; hence, this may serve as a potential mechanism to maintain intestinal homeostasis. Previously, we have demonstrated that a [...] Read more.
The activation of the vitamin D receptor (VDR) in the ileum has been shown to regulate Paneth cell-specific defensins, a large family of antimicrobial peptides; hence, this may serve as a potential mechanism to maintain intestinal homeostasis. Previously, we have demonstrated that a combination of vitamin D3 (VD) and fructooligosaccharides (FOSs) upregulates colonic Vdr in mice. Here, we aim to examine the effect of VD, alone or in combination with FOSs, on intestinal barrier integrity and the secretion of antimicrobial peptides, as well as the gut microbial community. Male and female C57BL/6J mice at 6 weeks old were randomized into three groups to receive the following dietary regimens (n = 10/sex/group) for 8 weeks: (1) standard AIN-93G control diet (CTR), (2) CTR + 5000 IU vitamin D3 (VD), and (3) VD + 5% fructooligosaccharides (VF). VD and VF differentially regulated the mRNA expressions of tight junction proteins in the colon and ileum. VF suppressed the upregulation of colonic ZO-1 and occludin, which was induced by VD supplementation alone. In the ileum, occludin but not ZO-1 was upregulated 20-fold in the VF-treated mice. While VD did not alter the mRNA expressions of Vdr and defensins in the ileum, these targets were downregulated by VF. Microbial analysis further reveals a shift of microbial beta diversity and a reduction in Romboutsia ilealis, a pathobiont, in VF-treated mice. Though the implications of these phenotypical and microbial changes remain to be determined, the administration of FOSs in the presence of VD may serve as an effective dietary intervention for maintaining intestinal homeostasis. Full article
(This article belongs to the Special Issue Probiotics, Prebiotics and Gut Health)
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<p>The combination of VD and FOSs differentially affects the mRNA expressions of <span class="html-italic">ZO-1</span> and <span class="html-italic">occludin</span> in the colon (<b>A</b>,<b>B</b>) and ileum (<b>C</b>,<b>D</b>). Statistical differences between dietary interventions are expressed as * <span class="html-italic">p</span> &lt; 0.05. Data are expressed as mean ± standard error (n = 5–6/group/sex). CTR, control; VD, vitamin D<sub>3</sub>; VF, vitamin D<sub>3</sub> + fructooligosaccharides.</p>
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<p>mRNA expressions of ileal <span class="html-italic">VDR</span>. Statistical differences between dietary interventions are expressed as * <span class="html-italic">p</span> &lt; 0.05. Data are expressed as mean ± standard error (n = 6/group/sex). CTR, control; VD, vitamin D<sub>3</sub>; VF, vitamin D<sub>3</sub> + fructooligosaccharides.</p>
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<p>mRNA expressions of antimicrobial peptides in the ileum. (<b>A</b>) mRNA expression of <span class="html-italic">Dfa1</span>, (<b>B</b>) mRNA expression of <span class="html-italic">Dfa5</span>, and (<b>C</b>) mRNA expression of <span class="html-italic">Dfb1</span>. Statistical differences between dietary interventions are expressed as * <span class="html-italic">p</span> &lt; 0.05. Data are expressed as mean ± standard error (n = 6/group/sex). CTR, control; VD, vitamin D<sub>3</sub>; VF, vitamin D<sub>3</sub> + fructooligosaccharides.</p>
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<p>The effect of VD, alone or in combination with FOS, on cecal microbiota diversity and composition in mice. (<b>A</b>) Alpha diversity Chao 1 index, (<b>B</b>) principal component plot using bray distance, (<b>C</b>) relative abundance of gut microbiota at phylum level, and (<b>D</b>) relative abundance of gut microbiota at species level. CTR <span class="html-fig-inline" id="nutrients-16-02236-i001"><img alt="Nutrients 16 02236 i001" src="/nutrients/nutrients-16-02236/article_deploy/html/images/nutrients-16-02236-i001.png"/></span>, control; VD <span class="html-fig-inline" id="nutrients-16-02236-i002"><img alt="Nutrients 16 02236 i002" src="/nutrients/nutrients-16-02236/article_deploy/html/images/nutrients-16-02236-i002.png"/></span>, vitamin D<sub>3</sub>; VF <span class="html-fig-inline" id="nutrients-16-02236-i003"><img alt="Nutrients 16 02236 i003" src="/nutrients/nutrients-16-02236/article_deploy/html/images/nutrients-16-02236-i003.png"/></span>, vitamin D<sub>3</sub> + fructooligosaccharides. ◆, Mean of Chao 1 index.</p>
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<p>Effect of VD, alone or in combination with FOSs, on the abundance of (<b>A</b>,<b>D</b>) <span class="html-italic">Dubosiella newyorkensis</span>, (<b>B</b>,<b>E</b>) <span class="html-italic">Romboutsia ilealis</span>, and (<b>C</b>,<b>F</b>) <span class="html-italic">Akkermansia muciniphila</span> cecal microbiota composition in mice analyzed by 16s rRNA sequencing (<b>A</b>–<b>C</b>) and RT-PCR (<b>D</b>–<b>F</b>). Statistical differences between dietary interventions are expressed as * <span class="html-italic">p</span> &lt; 0.05. Data are expressed as mean ± standard error (n = 6/group/sex). CTR, control; VD, vitamin D<sub>3</sub>; VF, vitamin D<sub>3</sub> + fructooligosaccharides.</p>
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18 pages, 5942 KiB  
Article
Combining Laser-Induced Breakdown Spectroscopy and Visible Near-Infrared Spectroscopy for Predicting Soil Organic Carbon and Texture: A Danish National-Scale Study
by Alex Wangeci, Daniel Adén, Thomas Nikolajsen, Mogens H. Greve and Maria Knadel
Sensors 2024, 24(14), 4464; https://doi.org/10.3390/s24144464 - 10 Jul 2024
Viewed by 909
Abstract
Laser-induced breakdown spectroscopy (LIBS) and visible near-infrared spectroscopy (vis-NIRS) are spectroscopic techniques that offer promising alternatives to traditional laboratory methods for the rapid and cost-effective determination of soil properties on a large scale. Despite their individual limitations, combining LIBS and vis-NIRS has been [...] Read more.
Laser-induced breakdown spectroscopy (LIBS) and visible near-infrared spectroscopy (vis-NIRS) are spectroscopic techniques that offer promising alternatives to traditional laboratory methods for the rapid and cost-effective determination of soil properties on a large scale. Despite their individual limitations, combining LIBS and vis-NIRS has been shown to enhance the prediction accuracy for the determination of soil properties compared to single-sensor approaches. In this study, we used a comprehensive Danish national-scale soil dataset encompassing mostly sandy soils collected from various land uses and soil depths to evaluate the performance of LIBS and vis-NIRS, as well as their combined spectra, in predicting soil organic carbon (SOC) and texture. Firstly, partial least squares regression (PLSR) models were developed to correlate both LIBS and vis-NIRS spectra with the reference data. Subsequently, we merged LIBS and vis-NIRS data and developed PLSR models for the combined spectra. Finally, interval partial least squares regression (iPLSR) models were applied to assess the impact of variable selection on prediction accuracy for both LIBS and vis-NIRS. Despite being fundamentally different techniques, LIBS and vis-NIRS displayed comparable prediction performance for the investigated soil properties. LIBS achieved a root mean square error of prediction (RMSEP) of <7% for texture and 0.5% for SOC, while vis-NIRS achieved an RMSEP of <8% for texture and 0.5% for SOC. Combining LIBS and vis-NIRS spectra improved the prediction accuracy by 16% for clay, 6% for silt and sand, and 2% for SOC compared to single-sensor LIBS predictions. On the other hand, vis-NIRS single-sensor predictions were improved by 10% for clay, 17% for silt, 16% for sand, and 4% for SOC. Furthermore, applying iPLSR for variable selection improved prediction accuracy for both LIBS and vis-NIRS. Compared to LIBS PLSR predictions, iPLSR achieved reductions of 27% and 17% in RMSEP for clay and sand prediction, respectively, and an 8% reduction for silt and SOC prediction. Similarly, vis-NIRS iPLSR models demonstrated reductions of 6% and 4% in RMSEP for clay and SOC, respectively, and a 3% reduction for silt and sand. Interestingly, LIBS iPLSR models outperformed combined LIBS-vis-NIRS models in terms of prediction accuracy. Although combining LIBS and vis-NIRS improved the prediction accuracy of texture and SOC, LIBS coupled with variable selection had a greater benefit in terms of prediction accuracy. Future studies should investigate the influence of reference method uncertainty on prediction accuracy. Full article
(This article belongs to the Section Optical Sensors)
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<p>Distribution across Denmark of the 1110 samples used in this study. Calibration and validation samples are indicated.</p>
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<p>Texture distribution of the 1110 samples used in the study (USDA). The calibration and validation samples are indicated.</p>
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<p>A typical mean raw LIBS soil spectrum (<b>a</b>) as observed in the 174 to 430 nm wavelength range, and a vis-NIRS soil spectrum (<b>b</b>) as observed in the visible and near-infrared range. Common emission lines (for LIBS) and absorption bands (for vis-NIRS) are indicated.</p>
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<p>Regression plots for LIBS and vis-NIRS validation models for clay (<b>a</b>), silt (<b>b</b>), sand (<b>c</b>), and SOC (<b>d</b>).</p>
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<p>Regression plots for LIBS and vis-NIRS validation models for clay (<b>a</b>), silt (<b>b</b>), sand (<b>c</b>), and SOC (<b>d</b>).</p>
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<p>Regression plots for combined LIBS-vis-NIRS models for clay (<b>a</b>), silt (<b>b</b>), sand (<b>c</b>), and SOC (<b>d</b>).</p>
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<p>Regression plots for combined LIBS-vis-NIRS models for clay (<b>a</b>), silt (<b>b</b>), sand (<b>c</b>), and SOC (<b>d</b>).</p>
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<p>Correlation between LIBS and vis-NIRS predicted values (validation results) for clay (<b>a</b>), silt (<b>b</b>), sand (<b>c</b>), and SOC (<b>d</b>).</p>
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<p>LIBS and vis-NIRS prediction model regression vectors for clay, silt, sand, and SOC, as indicated.</p>
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<p>Pearson’s correlation matrix for the investigated soil properties (clay, silt, sand, and SOC). Significant values are presented on a color gradient, ranging from light blue (negative correlations) to dark blue (positive correlations).</p>
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<p>Comparison of performance of the different regression approaches, as assessed using the RPIQ.</p>
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24 pages, 1904 KiB  
Article
Novel Admissibility Criteria and Multiple Simulations for Descriptor Fractional Order Systems with Minimal LMI Variables
by Xinhai Wang and Jin-Xi Zhang
Fractal Fract. 2024, 8(7), 373; https://doi.org/10.3390/fractalfract8070373 - 26 Jun 2024
Viewed by 1016
Abstract
In this paper, we first present multiple numerical simulations of the anti-symmetric matrix in the stability criteria for fractional order systems (FOSs). Subsequently, this paper is devoted to the study of the admissibility criteria for descriptor fractional order systems (DFOSs) whose order belongs [...] Read more.
In this paper, we first present multiple numerical simulations of the anti-symmetric matrix in the stability criteria for fractional order systems (FOSs). Subsequently, this paper is devoted to the study of the admissibility criteria for descriptor fractional order systems (DFOSs) whose order belongs to (0, 2). The admissibility criteria are provided for DFOSs without eigenvalues on the boundary axes. In addition, a unified admissibility criterion for DFOSs involving the minimal linear matrix inequality (LMI) variable is provided. The results of this paper are all based on LMIs. Finally, numerical examples were provided to validate the accuracy and effectiveness of the conclusions. Full article
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Figure 1

Figure 1
<p>State responses of the system in Example 1 with <math display="inline"> <semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>0.4</mn> </mrow> </semantics> </math>.</p>
Full article ">Figure 2
<p>State responses of the system in Example 2 with <math display="inline"> <semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>1.8</mn> </mrow> </semantics> </math>.</p>
Full article ">Figure 3
<p>State responses of the system in Example 3 with <math display="inline"> <semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>0.8</mn> </mrow> </semantics> </math>.</p>
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