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22 pages, 309 KiB  
Article
Mindset, Schism and the Contemporary Transformation of the Anglican Communion
by Geoffrey A Sandy
Religions 2025, 16(1), 48; https://doi.org/10.3390/rel16010048 (registering DOI) - 7 Jan 2025
Viewed by 175
Abstract
The phenomenon of mindset provides a lens to understand more clearly the reasons for, the timing of and the resulting transformation of the Anglican Communion (AC) of its schism. It has been transformed by the interaction between those of a strong conservative mindset [...] Read more.
The phenomenon of mindset provides a lens to understand more clearly the reasons for, the timing of and the resulting transformation of the Anglican Communion (AC) of its schism. It has been transformed by the interaction between those of a strong conservative mindset and those of a strong progressive mindset. The former are now in schism with those who remain in the AC. The schism is usually explained in terms of opposing doctrinal beliefs and values, which is valid as far as it goes. More fundamental is mindset because it explains why people hold these beliefs and values, which determine how they interact in society. The schism of the AC is chosen as a context or case study to which the scientific research behind mindset is applied. However, it is something that is general and fundamental, which operates in society for both the religious and secular domains. Full article
24 pages, 5171 KiB  
Article
Study on Fermentation Preparation, Stability, and Angiotensin-Converting Enzyme Inhibitory Activity of Tomato Pomace Peptide
by Ying Mu, Ruxianguli Maimaitiyiming, Jingyang Hong, Yu Wang, Yao Zhao, Ruoqing Liu, Liang Wang, Keping Chen and Aihemaitijiang Aihaiti
Foods 2025, 14(2), 145; https://doi.org/10.3390/foods14020145 (registering DOI) - 7 Jan 2025
Viewed by 277
Abstract
The substantial quantity of discarded tomato pomace (TP) results in the waste of valuable resources. This study utilizes these tomato by-products by mixing them with water in a specific proportion and fermenting the mixture in two stages: first with yeast, and then with [...] Read more.
The substantial quantity of discarded tomato pomace (TP) results in the waste of valuable resources. This study utilizes these tomato by-products by mixing them with water in a specific proportion and fermenting the mixture in two stages: first with yeast, and then with lactic acid bacteria. The most suitable microbial strains for TP fermentation were identified by evaluating parameters such as peptide content, degree of hydrolysis, and gel electrophoresis analysis. Subsequently, tomato pomace peptides (TPPs) were separated into peptides of different molecular weights using ultrafiltration. The IC50 values, ACE inhibitory activities, and in vitro stability of these peptides were compared, and their secondary structures and microstructures were characterized. The results indicated that the soluble protein concentration increased from 26.25 mg/g to 39.03 mg/g after 32 h of fermentation with strain RV171. After an additional 32 h of fermentation with Bifidobacterium thermophilum, the peptide content reached 49.18 ± 0.43%. SDS-PAGE gel electrophoresis showed that the TPP molecular weights were predominantly below 10 kDa. The IC50 results demonstrated that fractions with smaller molecular weights exhibited greater ACE inhibitory activities. Structural analysis confirmed that the TP hydrolysate was indeed a peptide. Full article
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Figure 1

Figure 1
<p>(<b>a</b>) Changes in peptide content (%) during the fermentation of TP using six different yeast strains. (<b>b</b>) Changes in the conversion of soluble protein (%) during the fermentation of tomato pomace by six different yeast strains. (<b>c</b>) Results of hydrolysis (%) of fermentation residues from different yeast strains are expressed as the mean ± standard deviation (SD) of three replicates. (<b>d</b>) Effect of fermentation time on peptide content (%). (<b>e</b>) Effect of the solid–liquid ratio on peptide content (%). (<b>f</b>) Effect of inoculum amount on peptide content (%). Lowercase letters indicate significance (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 1 Cont.
<p>(<b>a</b>) Changes in peptide content (%) during the fermentation of TP using six different yeast strains. (<b>b</b>) Changes in the conversion of soluble protein (%) during the fermentation of tomato pomace by six different yeast strains. (<b>c</b>) Results of hydrolysis (%) of fermentation residues from different yeast strains are expressed as the mean ± standard deviation (SD) of three replicates. (<b>d</b>) Effect of fermentation time on peptide content (%). (<b>e</b>) Effect of the solid–liquid ratio on peptide content (%). (<b>f</b>) Effect of inoculum amount on peptide content (%). Lowercase letters indicate significance (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>(<b>a</b>,<b>b</b>) The change in peptide content (%) during tomato pomace fermentation was assessed for each of the 12 bacterial taxa (TP). Data are presented as the mean ± standard deviation of three replicates. (<b>c</b>) The hydrolysis results (%) of different bacterial fermentation residues are presented as the mean ± standard deviation (SD) of three replicates. Lowercase letters denote statistical significance (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>SDS-PAGE pattern of TP after fermentation: (<b>a</b>) 1—marker; 2—TP; 3—<span class="html-italic">Saccharomyces cerevisiae</span> BV818; 4—Saccharomyces cerevisiae RV171; 5—<span class="html-italic">Hanseniaspora uvarum</span>; 6—<span class="html-italic">Pichia guilliermondii</span>; 7—<span class="html-italic">Torulaspora delbrueckii</span>; 8—<span class="html-italic">Saccharomyces cerevisiae</span> EC 1118. (<b>b</b>) SDS-PAGE after lactic acid fermentation: 1—marker; 2—TP; 3—<span class="html-italic">Saccharomyces cerevisiae</span> RV171; 4—<span class="html-italic">Pediococcus acidilactici</span>; 5—lactobacillus rhamnosus; 6—<span class="html-italic">Lactobacillus paracasei</span> subsp. <span class="html-italic">paracasei</span>; 7—<span class="html-italic">Bacillus subtilis</span>; 8—<span class="html-italic">Lactobacillus reuteri</span>; 9—thermophilic bifidobacteria.</p>
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<p>The molecular weight distribution of the fermented peptides derived from the four strains. (<b>a</b>) Molecular weight distribution of peptides fermented by <span class="html-italic">Bifidobacterium thermophilus</span>. (<b>b</b>) Molecular weight distribution of peptides derived from <span class="html-italic">Lactobacillus rhamnosus</span> fermentation. (<b>c</b>) Molecular weight distribution of peptides resulting from <span class="html-italic">Pediococcus acidilactici</span> fermentation. (<b>d</b>) Molecular weight distribution of peptides obtained from <span class="html-italic">Bacillus subtilis</span> fermentation.</p>
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<p>(<b>a</b>) Variations in ACE inhibitory IC<sub>50</sub> values of TPPs before and after ultrafiltration. (<b>b</b>) Peptide retention in samples treated with different ion concentrations. (<b>c</b>) ACE inhibitory activity of samples treated with different ion concentrations. (<b>d</b>) Effect of different pH-treated samples on peptide content. (<b>e</b>) Effect of samples treated with different pH on ACE inhibition rates. (<b>f</b>) Effect of samples treated with different temperatures on peptide content. (<b>g</b>) Effect of samples treated with different temperatures on ACE inhibition rate. Different letters indicate statistically significant differences among treatments for each sample (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 5 Cont.
<p>(<b>a</b>) Variations in ACE inhibitory IC<sub>50</sub> values of TPPs before and after ultrafiltration. (<b>b</b>) Peptide retention in samples treated with different ion concentrations. (<b>c</b>) ACE inhibitory activity of samples treated with different ion concentrations. (<b>d</b>) Effect of different pH-treated samples on peptide content. (<b>e</b>) Effect of samples treated with different pH on ACE inhibition rates. (<b>f</b>) Effect of samples treated with different temperatures on peptide content. (<b>g</b>) Effect of samples treated with different temperatures on ACE inhibition rate. Different letters indicate statistically significant differences among treatments for each sample (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 6
<p>(<b>a</b>,<b>c</b>,<b>e</b>) Changes in ACE inhibition of samples after treatment with different mass fractions of methanol, ethanol, and propanol. (<b>b</b>,<b>d</b>,<b>f</b>) The variations in ACE inhibition in samples treated with different mass fractions of methanol, ethanol, and propanol are shown separately. Different letters indicate statistically significant differences among treatments for each sample (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 6 Cont.
<p>(<b>a</b>,<b>c</b>,<b>e</b>) Changes in ACE inhibition of samples after treatment with different mass fractions of methanol, ethanol, and propanol. (<b>b</b>,<b>d</b>,<b>f</b>) The variations in ACE inhibition in samples treated with different mass fractions of methanol, ethanol, and propanol are shown separately. Different letters indicate statistically significant differences among treatments for each sample (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 7
<p>Effect of various metal ions on the stability of tomato pomace peptides with different molecular weights. (<b>a1</b>,<b>a2</b>) Changes in peptide retention and ACE inhibition in samples treated with different concentrations of K<sup>+</sup>. (<b>b1</b>,<b>b2</b>) Changes in peptide retention and ACE inhibition in samples treated with different concentrations of Mn<sup>2+</sup>. (<b>c1</b>,<b>c2</b>) Changes in peptide retention and ACE inhibition in samples treated with different concentrations of Fe<sup>2+</sup>. (<b>d1</b>,<b>d2</b>) Changes in peptide retention and ACE inhibition in samples treated with different concentrations of Cu<sup>2+</sup>. Different letters indicate statistically significant differences among treatments for each sample (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 8
<p>(<b>a</b>) UV spectrum of three molecular weight components. (<b>b</b>) Fourier infrared spectrum of components with molecular weights greater than 3 kDa. (<b>c</b>) Fourier infrared spectrum of components with molecular weights between 1 and 3 kDa. (<b>d</b>) Fourier infrared spectrum of components with molecular weights less than 1 kDa.</p>
Full article ">Figure 9
<p>Scanning electron microscopy images of components with different molecular weights: (<b>a</b>) &gt;3 kDa; (<b>b</b>) 1–3 kDa; (<b>c</b>) &lt;1 kDa.</p>
Full article ">
18 pages, 8668 KiB  
Article
Research on Opening Reignition Characteristics and Suppression Measures of 750 kV AC Filter Circuit Breakers
by Jianguo Zhang, Pengcheng Sha, Feiyue Ma, Bo Niu, Xu Cai, Hui Ni and Junbo Deng
Energies 2025, 18(1), 218; https://doi.org/10.3390/en18010218 - 6 Jan 2025
Viewed by 228
Abstract
The operation of converter valves in converter stations often results in high reactive power consumption and harmonic generation, necessitating measures to maintain reactive power balance and ensure power quality. To achieve this, the filter bank circuit breaker is frequently switched on and off [...] Read more.
The operation of converter valves in converter stations often results in high reactive power consumption and harmonic generation, necessitating measures to maintain reactive power balance and ensure power quality. To achieve this, the filter bank circuit breaker is frequently switched on and off during daily operation. In recent years, multiple incidents of circuit breaker breakdown during the opening process have been reported. In this study, power systems computer-aided design (PSCAD)/electromagnetic transients including DC (EMTDC) V5.0 electromagnetic transient simulation software is used to simulate and calculate the overvoltage and inrush current under different configurations of circuit breaker operating mechanism dispersion, opening phase angle, and operating speed. Additionally, the suppression effects of two measures are compared: “phase selection opening” and “phase selection opening combined with controlled opening speed” to mitigate overvoltage and inrush current. The results demonstrate that for BP11/13 filters, HP24/36 filters, and HP3 filters, the combined strategy of “phase-selective opening with controlled opening speed” is more effective in suppressing inrush current and overvoltage. However, for SC filters, the suppression effect of this combined strategy is not significant. Considering economic and practical factors, it is more reasonable to adopt the phase-selective opening measure for SC filters. These findings provide guidance for ensuring the safe operation of AC filter circuit breakers. Full article
(This article belongs to the Section F6: High Voltage)
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Figure 1
<p>Lingzhou–Shaoxing ±800 kV high-voltage direct current transmission system diagram.</p>
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<p>Converter AC filter configuration.</p>
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<p>Structure of four types of filters.</p>
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<p>Structure of four types of filters.</p>
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<p>Three-dimensional electric field simulation model.</p>
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<p>The field strength distribution of the circuit breaker.</p>
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<p>Breakdown voltage fitting curves for different functions.</p>
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<p>Main capacitor voltage, arc current, and arc state of the HP24/36 filter for opening.</p>
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<p>Bus voltage on the power side and load side of the HP24/36 filter for opening.</p>
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<p>The influence of mechanical dispersion of operating mechanisms on four filters: (<b>a</b>) inrush current; (<b>b</b>) main capacitor overvoltage.</p>
Full article ">Figure 9 Cont.
<p>The influence of mechanical dispersion of operating mechanisms on four filters: (<b>a</b>) inrush current; (<b>b</b>) main capacitor overvoltage.</p>
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<p>Arc reignition extinguishing state under 2 ms mechanical dispersion.</p>
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<p>The effect of different opening phase angles on arc reignition.</p>
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<p>Relationship between inrush current and opening phase angle of four filters.</p>
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<p>The relationship between the overvoltage and the opening phase angle of four types of filters.</p>
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<p>The influence of different action speeds on arc reignition.</p>
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<p>The influence of the operating speed of four types of filter operating mechanisms on the opening inrush current and overvoltage.</p>
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<p>Reignition characteristics under HP3 different phase angles and rapid opening speeds.</p>
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<p>Comparison of inhibitory effects under two measures.</p>
Full article ">Figure A1
<p>Reignition characteristics under BP11/13 different phase angles and rapid opening speeds.</p>
Full article ">Figure A2
<p>Reignition characteristics under HP24/36 different phase angles and rapid opening speeds.</p>
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<p>Reignition characteristics under SC different phase angles and rapid opening speeds.</p>
Full article ">
11 pages, 445 KiB  
Article
Likelihood of Preterm Birth in Patients After Antenatal Corticosteroid Administration in Relation to Diagnosis and Confounding Risk Factors: A Retrospective Cohort Study
by Jan Pauluschke-Fröhlich, Richard Berger, Harald Abele, Claudia F. Plappert and Joachim Graf
Healthcare 2025, 13(1), 87; https://doi.org/10.3390/healthcare13010087 - 6 Jan 2025
Viewed by 281
Abstract
Background: In the case of threatened preterm birth (PTB) before the 34th week of pregnancy, the application of antenatal corticosteroids (ACSs) for the maturation of the fetal lung is a standard procedure in perinatal medicine. Common diagnoses for ACS use in pregnancy [...] Read more.
Background: In the case of threatened preterm birth (PTB) before the 34th week of pregnancy, the application of antenatal corticosteroids (ACSs) for the maturation of the fetal lung is a standard procedure in perinatal medicine. Common diagnoses for ACS use in pregnancy are the preterm rupture of membranes (PPROMs), placental bleeding, premature labor, preeclampsia, oligohydramnios, amniotic infection syndrome (AIS), and cervical insufficiency. The aim of this study was to investigate whether the current diagnosis, which results in ACS, and the patient’s risk factors influence the risk of PTB events. Methods: The data of all affected women were extracted, who were hospitalized in 2016 due to a threatening PTB and administered corticosteroids in the German federal state Rhineland-Palatinate (n = 1544), so the study was conducted as a retrospective cohort trial. Frequency analyses, Friedman tests, Chi square tests, logistic regressions, Spearman correlation, and moderation analysis were performed to determine the Odds ratio (OR) for PTB in ACS patients in relation to diagnosis and risk factors. Results: Only 60% of all patients with PTB risk delivered prematurely, whereby patients with different diagnoses differ in terms of the PTB risk; the highest risk could be found in AIS (OR = 16.12) or preeclampsia (OR = 5.46). For prior PTB, stillbirth, or abortion, there is a moderation effect (based on the confounders), while multiple pregnancies influence the PTB risk irrespective of diagnosis (OR = 6.45). In the whole collective, the OR for PTB was 6.6 in relation to all pregnant women in Germany. Conclusions: A higher risk of PTB could be found in patients with a diagnosis of AIS, preeclampsia, as well as in multiple pregnancies. Prior PTB, stillbirth, or abortion act as a relevant confounder. Full article
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<p>Distribution of diagnoses in the study population, responsible for the induction of lung maturation, <span class="html-italic">n</span> = 1544. AIS = amniotic infection syndrome; PPROM = preterm premature rupture of membranes.</p>
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25 pages, 3506 KiB  
Article
Fatty Acid Content and Profile in Ulva lactuca in Response to Exposure to Variable Growth Conditions in Indoor Photobioreactors
by Nabeel Gnayem, Razan Unis, Rima Gnaim, Alexander Chemodanov, Álvaro Israel, Jallal Gnaim and Alexander Golberg
Life 2025, 15(1), 57; https://doi.org/10.3390/life15010057 - 6 Jan 2025
Viewed by 248
Abstract
Seaweed presents a sustainable alternative source of valuable fatty acids (FAs) involving omega-3 (n-3) and omega-6 (n-6). As such, there is great potential to reduce pressure on wild fish populations, helping to combat overfishing and its associated global impacts. [...] Read more.
Seaweed presents a sustainable alternative source of valuable fatty acids (FAs) involving omega-3 (n-3) and omega-6 (n-6). As such, there is great potential to reduce pressure on wild fish populations, helping to combat overfishing and its associated global impacts. This study explored the effect of various environmental factors on the FA content and profile of Ulva lactuca using indoor photobioreactors. The taxonomic identity of U. lactuca was confirmed through DNA sequencing using 3 markers (rbcL, ITS, and tufa). The effects of temperature (8, 20, and 30 °C), seawater salinity (3.5, 3.0, 2.5, and 2.0% w/v), nutrient type and concentration (0 or 6.4 ppm, consisting of 50% w/w N-NO3, 50% w/w N-NH4, and 0–1 ppm P-PO4), and irradiance (50, 100, and 150 μmol photons m−2 s−1) were evaluated. This study assessed their influence on U. lactuca’s biomass production rate (BPR), dry weight (DW), ash content (AC), and FA composition after 7 and 21 days. The results revealed that after 21 days, the polyunsaturated FA (PUFA) content decreased with the increasing seawater salinity (i.e., 38.9% ± 0.7, 33.8% ± 0.4, and 27.0% ± 0.4, and 6.6% ± 0.1 for a salinity of 2.0, 2.5, 3.0, and 3.5% w/v, respectively). The content of n-3 after 21 days increased significantly under the following conditions: 8 °C, a salinity of 2.5% w/v, 6.4 ppm of nitrogen without the addition of phosphorous, and an irradiation of 50 and 150 μmol photons m−2 s−1, affording a low n-6/n-3 proportion that fits a desirable level of an n6/n3 ratio (1–10) for a balanced nutritional diet. Full article
(This article belongs to the Section Physiology and Pathology)
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<p><span class="html-italic">Ulva lactuca</span> seaweed, cultivated in a 10 L plastic sleeve, which served as a photobioreactor, was situated in an outdoor plastic house at the Triangle Research and Development (TDRC). The cultivation conditions included an irradiance of µmol m<sup>−2</sup> s<sup>−1</sup>, a 12/12 h light/dark photoperiod, and an artificial seawater (ASW) pH maintained at 8.2. The temperature was controlled at 25 °C during the day and 15 °C at night. A total of 12 fresh samples (3 replicates) were collected for each of the 4 treatments with ASW salinity concentrations of 2.0%, 2.5%, 3.0%, and 3.5%.</p>
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<p>The effect of salinity in the artificial seawater (ASW) substrate with <span class="html-italic">Ulva lactuca</span> cultivated in a sleeve system outdoors in a plastic house on the biomass production rate (BPR, kg m<sup>−3</sup> day<sup>−1</sup>, mean ± SD, <span class="html-italic">n</span> = 3) was measured after (<b>a</b>) 0–7 days, (<b>b</b>) 8–21 days, and (<b>c</b>) 0–21 days. Different letters above the values indicate significant differences as determined by the one-way ANOVA Tukey HSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The effect of salinity in the artificial seawater (ASW) substrate of <span class="html-italic">Ulva lactuca</span> cultivated in a sleeve system outdoors in a plastic house on the biomass dry weight (DW, % from wet weight, mean ± SD, <span class="html-italic">n</span> = 3) when measured (<b>a</b>) after 7 days and (<b>b</b>) after 21 days. Different letters above the values indicate significant differences as determined by the one-way ANOVA Tukey HSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 4
<p>The effect of salinity in the artificial seawater (ASW) substrate of <span class="html-italic">Ulva lactuca</span> cultivated in a sleeve system outdoors in a plastic house on the ash content (AC, % from DW, mean ± SD, <span class="html-italic">n</span> = 3) when measured (<b>a</b>) after 7 days (0–7) and (<b>b</b>) 14 days (8–21). Different letters above the values indicate significant differences as determined by the one-way ANOVA Tukey HSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 5
<p>The effect of artificial seawater (ASW) substrate temperature on the cultivation of <span class="html-italic">Ulva lactuca</span> on the biomass production rate (BPR, kg m<sup>−3</sup> day<sup>−1</sup>, mean ± SD, <span class="html-italic">n</span> = 3) when measured (<b>a</b>) after 7 days (0–7), (<b>b</b>) after 21 days (8–21), and (<b>c</b>) after the whole 21 days (0–21). The trial was conducted in a flask system placed within three controlled temperature baths set at 8, 20, and 30 °C in outdoors in a plastic house at the Triangle Research and Development (TDRC) site (North Israel) under natural sunlight, with an intensity of 400–800 µmol m<sup>−2</sup> s<sup>−1</sup>, a 12/12 h photoperiod, and an ASW pH maintained at 8.2. Different letters above the values indicate significant differences according to the one-way ANOVA Tukey HSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 5 Cont.
<p>The effect of artificial seawater (ASW) substrate temperature on the cultivation of <span class="html-italic">Ulva lactuca</span> on the biomass production rate (BPR, kg m<sup>−3</sup> day<sup>−1</sup>, mean ± SD, <span class="html-italic">n</span> = 3) when measured (<b>a</b>) after 7 days (0–7), (<b>b</b>) after 21 days (8–21), and (<b>c</b>) after the whole 21 days (0–21). The trial was conducted in a flask system placed within three controlled temperature baths set at 8, 20, and 30 °C in outdoors in a plastic house at the Triangle Research and Development (TDRC) site (North Israel) under natural sunlight, with an intensity of 400–800 µmol m<sup>−2</sup> s<sup>−1</sup>, a 12/12 h photoperiod, and an ASW pH maintained at 8.2. Different letters above the values indicate significant differences according to the one-way ANOVA Tukey HSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 6
<p>The effect of artificial seawater (ASW) substrate temperature on the cultivation of <span class="html-italic">Ulva lactuca</span> when measured (<b>a</b>) after 7 days and (<b>b</b>) after 21 days. The experiment was assessed in a flask system placed within three controlled temperature baths set to 8, 20, and 30 °C. The dry biomass weight (DW, % of wet weight, mean ± SD, <span class="html-italic">n</span> = 3). Different letters above the values indicate significant differences based on the one-way ANOVA Tukey HSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 7
<p>The effect of artificial seawater (ASW) temperature on the cultivation of <span class="html-italic">Ulva lactuca</span> on ash content (AC, % of DW, mean ± SD, <span class="html-italic">n</span> = 3) when evaluated (<b>a</b>) after 7 days and (<b>b</b>) after 21 days. Different letters above the values indicate significant differences as determined by the one-way ANOVA Tukey HSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 8
<p>The effect of nutrient (N and P) concentrations in the substrate on (<b>a</b>) the biomass production rate (BPR, kg m<sup>−3</sup> day<sup>−1</sup>, <span class="html-italic">n</span> = 3), (<b>b</b>) the dry biomass weight (DW, % of fresh weight, mean ± SD, <span class="html-italic">n</span> = 3), (<b>c</b>) the ash content (AC, % of DW, mean ± SD, <span class="html-italic">n</span> = 3). A total of 12 fresh samples were collected of <span class="html-italic">Ulva lactuca</span> thalli cultivated in a flask system (3 replicates for each of the 4 treatments) involving different N and P concentrations in the substrate. The experiment was conducted indoors using flasks as photobioreactors at the Triangle Research and Development (TDRC) site. Treatment codes: N0P0 (0 ppm N, 0 ppm P), N6.4P1 (6.4 ppm N, 1 ppm P), N0P1 (0 ppm N, 1 ppm P), and N6.4P0 (6.4 ppm N, 0 ppm P). The cultivation was under photosynthetically active radiation (PAR) from LED lights at an intensity of 100 µmol m<sup>−2</sup> s<sup>−1</sup>, with a 12/12 h light/dark photoperiod. The harvest occurred after 21 days of cultivation. The artificial seawater (ASW) salinity and pH were maintained at 3.5% and 8.2, respectively, with a constant temperature of 25 °C. Different letters above the bars indicate significant differences as determined by the one-way ANOVA Tukey HSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 9
<p>The effect of irradiation of fresh thali of <span class="html-italic">Ulva lactuca</span> in flasks system on the biomass production rate (<b>a</b>) after 7 days and (<b>b</b>) after 21 days (BPR, kg m<sup>−3</sup> day<sup>−1</sup>, <span class="html-italic">n</span> = 3) in seaweed samples used as photobioreactor. Different letters near values above the bars express significant differences using the one-way ANOVA Tukey HSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of irradiation on <span class="html-italic">Ulva lactuca</span> in flasks system on dry weight (<b>a</b>) after 7 days and (<b>b</b>) after 21 days (DW, % of fresh weight, mean ± SD, <span class="html-italic">n</span> = 3). Different letters near values above the bars express significant differences using the one-way ANOVA Tukey HSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of irradiation on <span class="html-italic">Ulva lactuca</span> in flasks system on ash content AC and dry weight DW (<b>a</b>) after 7 days and (<b>b</b>) after 21 days (AC, % of DW, mean ± SD, <span class="html-italic">n</span> = 3). Different letters near values above the bars express significant differences using the one-way ANOVA Tukey HSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of irradiation on <span class="html-italic">Ulva lactuca</span> in flasks system on ash content AC and dry weight DW (<b>a</b>) after 7 days and (<b>b</b>) after 21 days (AC, % of DW, mean ± SD, <span class="html-italic">n</span> = 3). Different letters near values above the bars express significant differences using the one-way ANOVA Tukey HSD test (<span class="html-italic">p</span> &lt; 0.05).</p>
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13 pages, 725 KiB  
Article
Quality of Oral Anticoagulation Control with Warfarin According to Sex: A Cross-Sectional Study
by Catiane Costa Viana, Marcus Fernando da Silva Praxedes, Mauro Henrique Nogueira Guimarães de Abreu, Waleska Jaclyn Freitas Nunes de Sousa, Cássia Rodrigues Lima Ferreira, Emílio Itamar de Freitas Campos, José Luiz Padilha da Silva and Maria Auxiliadora Parreiras Martins
Int. J. Environ. Res. Public Health 2025, 22(1), 65; https://doi.org/10.3390/ijerph22010065 - 6 Jan 2025
Viewed by 247
Abstract
Evidence indicates a difference between men and women in oral anticoagulation control, but the results were discrepant. This study investigated the association of sex with oral anticoagulation control in patients on warfarin assisted by anticoagulation clinics (ACs) in Brazil. The cross-sectional study included [...] Read more.
Evidence indicates a difference between men and women in oral anticoagulation control, but the results were discrepant. This study investigated the association of sex with oral anticoagulation control in patients on warfarin assisted by anticoagulation clinics (ACs) in Brazil. The cross-sectional study included patients on warfarin recruited at three public ACs in southeast Brazil (2014–2015). The quality of oral anticoagulation was estimated by the time in therapeutic range (TTR). Univariable and multivariable linear regression models were built to examine the association of sociodemographic, behavior, clinical, and drug therapy variables with TTR. Overall, 801 participants were studied (455; 56.8% women), with a mean age of 65.0 (13.4) years. The female sex was associated with lower TTR than the male sex (Beta (95% CI) = −17.01 (−30.25; −3.76), p = 0.012), however, this difference decreased with increasing age, becoming null after age 60. Smoking patients had a lower TTR than non-smokers (−5.18 (−10.02; −0.34), p = 0.036). The results showed that the association of sex with oral anticoagulation control is dependent on age. Women have lower TTR than men, but this difference is null in older patients. Knowledge of these factors may be useful for developing strategies to improve care for these patients. Full article
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<p>Relationship between TTR and sex by age.</p>
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22 pages, 3557 KiB  
Review
Impact of COVID-19 on Ocular Surface Health: Infection Mechanisms, Immune Modulation, and Inflammatory Responses
by Duliurui Huang, Weixia Xuan and Zhijie Li
Viruses 2025, 17(1), 68; https://doi.org/10.3390/v17010068 - 6 Jan 2025
Viewed by 383
Abstract
COVID-19, caused by SARS-CoV-2, has presented formidable challenges to global health since its emergence in late 2019. While primarily known for respiratory symptoms, it can also affect the ocular surface. This review summarizes the effects of SARS-CoV-2 on ocular surface immunity and inflammation, [...] Read more.
COVID-19, caused by SARS-CoV-2, has presented formidable challenges to global health since its emergence in late 2019. While primarily known for respiratory symptoms, it can also affect the ocular surface. This review summarizes the effects of SARS-CoV-2 on ocular surface immunity and inflammation, focusing on infection mechanisms, immune responses, and clinical manifestations. Ocular symptoms, though uncommon, include conjunctivitis, dry eye, and blurred vision. SARS-CoV-2 binds to ACE2 receptors in ocular surface epithelial cells, facilitating viral entry, replication, and local dissemination. The innate immune responses involving corneal epithelial cells and immune cells are discussed, alongside mechanisms of antigen presentation and adaptive immunity. The review also examines the roles of cytokines and chemokines in mediating ocular surface inflammation and explores the impact of cytokine storms and chronic inflammation on ocular health. Additionally, the interplay between systemic and ocular immune responses is highlighted, analyzing how systemic COVID-19 inflammation influences ocular surface health. These insights underscore the broader implications of COVID-19 beyond localized ocular infection. By consolidating current findings, this review aims to guide preventive and therapeutic strategies while identifying directions for future research to mitigate the ocular consequences of COVID-19. Full article
(This article belongs to the Special Issue Ocular Diseases in Viral Infection)
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<p>Typical cases during the epidemic. (<b>A</b>) conjunctival infection and discharge; (<b>B</b>) retinal inflammation; (<b>C</b>,<b>D</b>) bilateral lungs show multiple large, patchy, linear, and strip-like high-density opacities with blurred margins, prominently affecting the peripheral areas of both lungs.</p>
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<p>Distribution of ACE2 receptor expression in the anterior segment. (<b>A</b>) ACE2 receptor expression levels in various ocular structures were assessed. The cornea shows a high level of ACE2 expression (30–40%), while the conjunctiva exhibits moderate expression (10–20%). The lacrimal gland demonstrates low to moderate expression (5–15%), and the tear drainage system reveals relatively lower expression (1–5%). (<b>B</b>) In terms of anatomical visualization, the cornea (red), with its high ACE2 expression, serves as the primary viral entry point. The conjunctiva (yellow), exhibiting moderate ACE2 expression, represents a potential route for viral transmission and infection. The lacrimal gland (green) connects tear production with potential, though limited, respiratory transmission. Similarly, the tear drainage system (blue) contributes to the potential for respiratory transmission, albeit with lower ACE2 expression.</p>
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<p>Pathways of SARS-CoV-2 transmission to the eye. This figure highlights the key routes and mechanisms of SARS-CoV-2 infection of the ocular surface: direct contact, tear transmission, and airborne spread. Direct contact occurs when contaminated hands transfer the virus to the conjunctiva or corneal epithelium. Tear transmission involves viral particles in tears reaching the ocular surface and traveling to the nasal cavity or respiratory tract via the nasolacrimal duct. Airborne spread occurs through aerosolized particles infecting the conjunctiva upon exposure. On the ocular surface, SARS-CoV-2 binds to ACE2 receptors, with TMPRSS2 facilitating spike protein cleavage and viral entry, triggering replication, local immune responses, and cytokine release. The figure underscores these interconnected transmission pathways and molecular mechanisms leading to ocular and systemic infection.</p>
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<p>Comparative overview of innate and adaptive immunity on the ocular surface. This figure highlights the synergistic interaction between innate and adaptive immunity on the ocular surface. Innate immunity provides rapid defense through physical barriers, such as epithelial cells, which secrete antimicrobial peptides (e.g., β-defensins). Macrophages phagocytose pathogens and release cytokines (e.g., IL-1β, TNF-α), while natural killer (NK) cells directly eliminate infected cells. Adaptive immunity, in contrast, ensures long-term protection through T and B cells. CD4+ T cells assist B cells in antibody production, CD8+ T cells directly kill infected cells, and B cells differentiate into plasma cells to produce virus-specific antibodies. Arrows illustrate how innate immunity, via mechanisms such as macrophage activation, facilitates the initiation of adaptive immunity, while T cells support B cells in generating antibodies. This figure underscores the collaborative role of both immune mechanisms in combating ocular surface infections, including those caused by SARS-CoV-2.</p>
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<p>Impact of cytokine storm on ocular surface inflammation. This figure illustrates the progression of a cytokine storm, beginning with the release of pro-inflammatory cytokines, such as IL-6 and TNF-α, followed by their transport through the bloodstream. These cytokines activate immune cells, including T cells and macrophages, which intensify the inflammatory response. This immune activation results in chronic inflammation and tissue damage on the ocular surface. The localized inflammation can further propagate systemically through persistent signaling in the bloodstream, potentially leading to widespread systemic effects. The figure underscores the sequential transition from cytokine release and immune activation to chronic ocular inflammation and systemic dissemination, emphasizing the role of cytokine storms in COVID-19–related ocular surface pathophysiology.</p>
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<p>Interaction mechanism between ocular surface and systemic immune feedback. This figure illustrates the dynamic interplay between the ocular surface and the systemic immune system during viral infection. SARS-CoV-2 infection of the ocular surface triggers localized inflammation and the release of pro-inflammatory factors (e.g., IL-6 and TNF-α) into the bloodstream. These factors circulate through the vascular system, activating the systemic immune response. In turn, the systemic immune system amplifies the release of cytokines, which feedback to the ocular surface, exacerbating and perpetuating local inflammation. This vicious cycle highlights the complex impact of viral infections on both the ocular surface and systemic immunity, underscoring the need for systemic therapeutic strategies.</p>
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11 pages, 2717 KiB  
Article
The Pre-Polarization and Concentration of Cells near Micro-Electrodes Using AC Electric Fields Enhances the Electrical Cell Lysis in a Sessile Drop
by Kishor Kaphle and Dharmakeerthi Nawarathna
Biosensors 2025, 15(1), 22; https://doi.org/10.3390/bios15010022 - 6 Jan 2025
Viewed by 272
Abstract
Cell lysis is the starting step of many biomedical assays. Electric field-based cell lysis is widely used in many applications, including point-of-care (POC) applications, because it provides an easy one-step solution. Many electric field-based lysis methods utilize micro-electrodes to apply short electric pulses [...] Read more.
Cell lysis is the starting step of many biomedical assays. Electric field-based cell lysis is widely used in many applications, including point-of-care (POC) applications, because it provides an easy one-step solution. Many electric field-based lysis methods utilize micro-electrodes to apply short electric pulses across cells. Unfortunately, these cell lysis devices produce relatively low cell lysis efficiency as electric fields do not reach a significant portion of cells in the sample. Additionally, the utility of syringe pumps for flow cells in and out of the microfluidics channel causes cell loss and low throughput cell lysis. To address these critical issues, we suspended the cells in a sessile drop and concentrated on the electrodes. We used low-frequency AC electric fields (1 Vpp, 0–100 kHz) to drive the cells effectively towards electrodes and lysed using a short pulse of 10 V. A post-lysis analysis was performed using a hemocytometer, UV-vis spectroscopy, and fluorescence imaging. The results show that the pre-electric polarization of cells, prior to applying short electrical pulses, enhances the cell lysis efficiency. Additionally, the application of AC electric fields to concentrate cells on the electrodes reduces the assay time to about 4 min. In this study, we demonstrated that low-frequency AC electric fields can be used to pre-polarize and concentrate cells near micro-electrodes and improve cell lysis efficiency. Due to the simplicity and rapid cell lysis, this method may be suitable for POC assay development. Full article
(This article belongs to the Special Issue Lab-on-a-Chip Devices for Point-of-Care Diagnostics)
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<p>Calculated electric field (<b>a</b>) and electric field gradients (<b>b</b>) in the vicinity of the interdigitated electrodes used for cell lysis experiments. Scale bars indicate 5 µm.</p>
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<p>Variation in cell lysis efficiency and cell count (after application lysis electric field) with experimental conditions used in the study. Control: cells from the tube left at room temperature; Immediate: immediately after pipetting cells on the electrodes; Gravity: settling cells under gravity; nDEP: after applying negative DEP and pDEP: after applying positive DEP.</p>
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<p>The quantification of nucleic acid (<b>a</b>) and protein molecules (<b>b</b>) in the buffer after concentrating cells on the electrodes using gravity settling, immediately after pipetting cell sample on the electrodes, applying nDEP, pDEP. For all these conditions, the cell samples were lysed applying 10 V pulse for 2 s.</p>
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<p>Concentration of cellular DNA on T-electrodes using AC electric fields. (<b>a</b>) Picture of interdigitated T-electrodes. (<b>b</b>–<b>d</b>) fluorescence images of T-electrodes after applying no electric potential, 10 Vpp (1 MHz), 10 Vpp (500 kHz), respectively. Scale bars show 10 µm.</p>
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<p>Concentration of cellular DNA on T-electrodes using AC electric fields (10 Vpp, 1 MHz). (<b>a</b>) Image of T-electrodes (from concentrated cells) without cell lysis. (<b>b</b>) Image of T-electrodes (from concentrated cells) on T-electrodes after electrical cell lysis. White circles show the concentrated DNA molecules on the electrodes. Scale bars show 20 µm.</p>
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15 pages, 1504 KiB  
Article
Scent of COVID-19: Whole-Genome Sequencing Analysis Reveals the Role of ACE2, IFI44, and NDUFAF4 in Long-Lasting Olfactory Dysfunction
by Beatrice Spedicati, Alessandro Pecori, Maria Pina Concas, Aurora Santin, Romina Ruberto, Giuseppe Giovanni Nardone, Andrea D’Alessandro, Giancarlo Tirelli, Paolo Boscolo-Rizzo and Giorgia Girotto
Life 2025, 15(1), 56; https://doi.org/10.3390/life15010056 - 5 Jan 2025
Viewed by 354
Abstract
COVID-19-related persistent olfactory dysfunction (OD) presents remarkable interindividual differences, and little is known about the host genetic factors that are involved in its etiopathogenesis. The goal of this study was to explore the genetic factors underpinning COVID-19-related OD through the analysis of Whole [...] Read more.
COVID-19-related persistent olfactory dysfunction (OD) presents remarkable interindividual differences, and little is known about the host genetic factors that are involved in its etiopathogenesis. The goal of this study was to explore the genetic factors underpinning COVID-19-related OD through the analysis of Whole Genome Sequencing data of 153 affected subjects, focusing on genes involved in antiviral response regulation. An innovative approach was developed, namely the assessment of the association between a “gene score”, defined as the ratio of the number of homozygous alternative variants within the gene to its length, and participants’ olfactory function. The analysis highlighted how an increased gene score in the ACE2 gene is associated with a worse olfactory performance, while an increased gene score in the IFI44 and NDUFAF4 genes is associated with a better olfactory function. Considering the physiological role of the proteins encoded by these genes, it can be hypothesized that a reduced expression of ACE2 may be associated with a protracted and severe inflammatory response in the olfactory epithelium, thus worsening patients’ smell abilities. Conversely, an increased gene score in IFI44 and NDUFAF4 might be associated with a decreased inflammatory response, thus correlating with a better olfactory performance. Overall, this study identified new host genetic factors that may play a pivotal role in determining COVID-19-related OD heterogeneity, possibly enabling more personalized and effective clinical management for affected individuals. Full article
(This article belongs to the Special Issue Olfactory Dysfunction: From Molecular Basis to Therapy)
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<p>Study workflow. 1. A cohort of 153 patients presenting with persistent post-COVID-19 OD was selected. 2. Olfactory function was psychophysically assessed through the TDI score. 3. WGS analysis was performed, and biallelic variants in 298 genes involved in the antiviral response pathway were extracted. 4. Association analyses between gene score and olfactory performance were performed.</p>
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<p>Overview of the analysis steps and results. Biallelic coding variant mapping within the list of 298 genes involved in antiviral response regulation were extracted from WGS data. The following MAF cutoffs were considered and analyzed separately: (1) MAF ≤ 1%; (2) MAF between 1% and 5%; (3) MAF between 5% and 10%; and (4) MAF &gt; 10%. Afterwards, for each individual and for each gene, a gene score was calculated, and the association between the gene score and the orthonasal olfactory function tests results were assessed with linear regression models. For each MAF group, statistically significant results are detailed.</p>
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13 pages, 3690 KiB  
Article
Composite Study of Relationships Between the Characteristics of Atlantic Cold Tongue: Onset, Duration, and Maximum Extent
by Dianikoura Ibrahim Koné, Adama Diawara, Benjamin Komenan Kouassi, Fidele Yoroba, Kouakou Kouadio, Assi Louis Martial Yapo, Touré Dro Tiemoko, Mamadou Diarrassouba, Foungnigué Silué and Arona Diedhioune
Atmosphere 2025, 16(1), 47; https://doi.org/10.3390/atmos16010047 - 5 Jan 2025
Viewed by 234
Abstract
This study analyzes the relationships between the onset, the duration, and the maximum extent of the Atlantic Cold Tongue (ACT) using ERA5 reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF) over the period 1979–2019. After calculating the start and end [...] Read more.
This study analyzes the relationships between the onset, the duration, and the maximum extent of the Atlantic Cold Tongue (ACT) using ERA5 reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF) over the period 1979–2019. After calculating the start and end dates of the ACT each year, this study investigates potential relationships between early or late onset that may be linked to the maximum duration and extent of the ACT, which is known to influence weather patterns and precipitation in surrounding regions and the West African Monsoon System. Results show that 68% of years with a short ACT duration are associated with a late-onset ACT, while 70% of years with a long ACT duration are associated with early ACT onset years. In addition, 63% of years with a short duration of ACT have a cold tongue with a low maximum extent, while 83% of years with a long duration of ACT have a cold tongue with a greater maximum extent. Finally, 78% of early ACT onset years are associated with the coldest SST tongue in the eastern equatorial Atlantic Ocean. A comparison of the last 20 years (1999–2019) with the previous 20 years (1979–1998) shows a cooling trend in SST, with ACT occurring and ending earlier in recent years than in the past. However, as the changes in the end date are greater than those in the onset date, the duration of the ACT has been 5–12 days shorter in the last 20 years than in the previous 20 years. Knowledge of these ACT characteristics and their interrelations and drivers is crucial for understanding the West African Monsoon System and for improving climate models and seasonal forecasts. Full article
(This article belongs to the Section Climatology)
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<p>Map of mean SST from May to October (1979–2019) in the tropical Atlantic. The rectangular box represents the area from which the characteristics of the ACT were computed. The color scale represents the mean SST values.</p>
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<p>Average seasonal cycle of SST in the ACT region. The top panel shows monthly SST maps for the study area. The bold line is the 25 °C SST contour delineating the ACT (in blue). The lower panel shows the monthly change in SST averaged over the entire study area, while the boxplots show the dispersion of SST for each month over the 40 years (1979–2019).</p>
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<p>(<b>a</b>) SST climatology from May to September for the period 1979–2019. (<b>b</b>) ACT onset climatology over the period 1979–2019; (<b>c</b>) ACT dissipation climatology over the period 1979–2019; (<b>d</b>) ACT duration climatology over the period 1979–2019. Color scales indicate (<b>a</b>) sea surface temperature (°C), (<b>b</b>,<b>c</b>) Julian days, and (<b>d</b>) number of days of sea surface cooling in the region.</p>
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<p>Distribution of years according to (<b>a</b>) ACT duration and onset and (<b>b</b>) ACT duration and maximal extension of the cold tongue over the period 1979–2019. Numbers in circles indicate the last two digits of the corresponding year. The vertical red line represents the mean ACT duration, which is 160 days. In the upper panel, the horizontal red line represents the mean date of ACT onset, which is 7th June, expressed in Julian days. In the lower panel, the horizontal red line represents the mean of the maximal extension of ACT, which is 3.07 × 10<sup>6</sup> km<sup>2</sup>.</p>
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<p>Distribution of years according to (<b>a</b>) ACT onset date and maximal extension of the cold tongue and (<b>b</b>) ACT onset and mean temperature of the cold tongue over the period 1979–2019. Numbers in circles indicate the last two digits of the corresponding year. The vertical red line represents the mean ACT onset, which is 160 days. In the upper panel, the horizontal red line represents the mean date of ACT onset, which is 7th June, expressed in Julian days. In the lower panel, the horizontal red line represents the mean of the maximal extension of ACT, which is 3.07 × 10<sup>6</sup> km<sup>2</sup>.</p>
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<p>Composite maps of mean SST from May to September. Dotted areas correspond to regions with significant values (considering the 95% confidence interval of the Monte Carlo test with 1000 random permutations). The black line contour indicates 25 °C isotherm lines.</p>
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<p>Composite maps of ACT characteristics during the period 1979–1998 (<b>left column</b>) and their mean changes (anomalies) in the recent period 1999–2019 (<b>right column</b>), respectively, for mean SST in the ACT region (<b>a</b>,<b>b</b>), the ACT onset date (<b>c</b>,<b>d</b>), the ACT end (<b>e</b>,<b>f</b>), and the ACT duration (<b>g</b>,<b>h</b>).</p>
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15 pages, 5996 KiB  
Article
SNP rs9364554 Modulates Androgen Receptor Binding and Drug Response in Prostate Cancer
by Yuqian Yan, Lei Shi, Tao Ma, Liguo Wang and Haojie Huang
Biomolecules 2025, 15(1), 64; https://doi.org/10.3390/biom15010064 - 4 Jan 2025
Viewed by 450
Abstract
(1) Background: Prostate cancer treatment efficacy is significantly influenced by androgen receptor (AR) signaling pathways. SLC22A3, a membrane transporter, has been linked to SNP rs9364554 risk loci for drug efficacy in prostate cancer. (2) Methods: We examined the location of SNP rs9364554 in [...] Read more.
(1) Background: Prostate cancer treatment efficacy is significantly influenced by androgen receptor (AR) signaling pathways. SLC22A3, a membrane transporter, has been linked to SNP rs9364554 risk loci for drug efficacy in prostate cancer. (2) Methods: We examined the location of SNP rs9364554 in the genome and utilized TCGA and other publicly available datasets to analyze the association of this SNP with SLC22A3 transcription levels. We verified onco-mining findings in prostate cancer cell lines using quantitative PCR and Western blots. Additionally, we employed electrophoretic mobility shift assay (EMSA) to detect the binding affinity of transcription factors to this SNP. The ChIP-Seq was used to analyze the enrichment of H3K27ac on the SLC22A3 promoter. (3) Results: In this study, we revealed that SNP rs9364554 resides in the SLC22A3 gene and affects its transcription. The downregulation of SLC22A3 is associated with drug resistance. More importantly, we found that this SNP has different binding affinities with transcription factors, specifically FOXA1 and AR, which significantly affects their regulation of SLC22A3 transcription. (4) Conclusions: Our findings highlight the potential of using this SNP as a biomarker for predicting chemotherapeutic outcomes and uncover possible mechanisms underlying drug resistance in advanced prostate cancers. More importantly, it provides a clinical foundation for targeting FOXA1 to enhance drug efficacy in prostate cancer patients. Full article
(This article belongs to the Collection Feature Papers in Molecular Genetics)
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<p>The SLC22A3 expression is highly downregulated in prostate cancer tissues and negatively related to drug efficacy. (<b>A</b>,<b>B</b>) The SLC22A3 transcription level was compared between prostate normal and cancer tissues from the TCGA patient dataset [<a href="#B27-biomolecules-15-00064" class="html-bibr">27</a>] (<b>A</b>) and between paired prostate normal and cancer tissues from the TCGA patient dataset [<a href="#B27-biomolecules-15-00064" class="html-bibr">27</a>] (<b>B</b>). (<b>C</b>) The SLC22A3 transcription level was compared in patients between paired normal prostate tissues and cancer tissues from a previous study [<a href="#B29-biomolecules-15-00064" class="html-bibr">29</a>]. (<b>D</b>,<b>E</b>) The SLC22A3 transcription level was compared in patients among non-localized and metastatic prostate tissues from a previous study [<a href="#B30-biomolecules-15-00064" class="html-bibr">30</a>]. (<b>F</b>–<b>H</b>) The SLC22A3 was knocked out with two sgRNA constructs (#1 and #2) individually in C4-2 cells to detect the SLC22A3 protein level by Western blot analysis in (<b>F</b>), and drug treatment in (<b>G</b>,<b>H</b>). (<b>I</b>,<b>J</b>) Two sgSLC22A3 knockout cell lines (#1 and #2) were treated with JQ1 (2 µM) and Enzalutamide (2 µM) for clonogenic survival assay. The representative images are shown in (<b>I</b>) with quantification data in (<b>J</b>). Original images of (<b>F</b>) can be found in supplementary <a href="#app1-biomolecules-15-00064" class="html-app">Figure S3</a>. The following symbols were used to denote statistical significance: * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>The heterozygous SNP rs9364554 promotes SLC22A3 expression. (<b>A</b>,<b>B</b>) The SLC22A3 transcription level was compared among different SNP rs9364554 genotypes in patients with normal prostate tissues (<b>A</b>) or prostate cancer tissues (<b>B</b>). (<b>C</b>) The SNP rs9364554 genotyping was performed with Sanger sequencing in six prostate cancer cell lines. (<b>D</b>,<b>E</b>) The cell line survey was conducted to detect SLC22A3 mRNA (<b>D</b>) and protein (<b>E</b>) levels. The red “*” indicates a potential FOXA1 mutant protein band. FL: full length. (<b>F</b>) A table summarizes genotypes of SNP rs9364554 of six prostate cancer cell lines and their molecular expression status of commonly expressed TFs. (<b>G</b>) UCSC tracks from published datasets [<a href="#B33-biomolecules-15-00064" class="html-bibr">33</a>] show patients’ profiles of ChIP-seq signals of AR in this SNP compared with two prostate cancer cell lines (C4-2 and LNCaP). Original images of (<b>E</b>) can be found in supplementary <a href="#app1-biomolecules-15-00064" class="html-app">Figure S3</a>. The following symbols were used to denote statistical significance: *** <span class="html-italic">p</span> &lt; 0.001. n.s., not significant.</p>
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<p>The SNP rs9364554 is manipulated by prostate cancer-specific TFs. (<b>A</b>) The online public datasets [<a href="#B33-biomolecules-15-00064" class="html-bibr">33</a>,<a href="#B36-biomolecules-15-00064" class="html-bibr">36</a>,<a href="#B37-biomolecules-15-00064" class="html-bibr">37</a>,<a href="#B38-biomolecules-15-00064" class="html-bibr">38</a>,<a href="#B39-biomolecules-15-00064" class="html-bibr">39</a>,<a href="#B40-biomolecules-15-00064" class="html-bibr">40</a>,<a href="#B41-biomolecules-15-00064" class="html-bibr">41</a>,<a href="#B42-biomolecules-15-00064" class="html-bibr">42</a>,<a href="#B43-biomolecules-15-00064" class="html-bibr">43</a>,<a href="#B44-biomolecules-15-00064" class="html-bibr">44</a>,<a href="#B45-biomolecules-15-00064" class="html-bibr">45</a>,<a href="#B46-biomolecules-15-00064" class="html-bibr">46</a>] reveal that SNP rs9364554 containing a DNA sequence is favorable by multiple prostate cancer-specific TFs (<b>A</b>). (<b>B</b>–<b>D</b>) The DNA sequence containing SNP rs9364554 (<b>B</b>) is overlapped with prostate cancer-specific TFs, such as FOXA1 (<b>C</b>) and AR (<b>D</b>). (<b>E</b>–<b>G</b>) The probe containing SNP rs9364554 (<b>E</b>) was designed to perform EMSA with 1 µg of nuclear protein extracts from four prostate cancer cell lines (PC-3, C4-2, VCaP and DU145) (<b>F</b>). The FOXA1 antibody was added to the reactions, which was followed by EMSA (<b>G</b>). The red “*” indicates a DNA/protein complex that might contain FOXA1 mutant protein. Original images of (<b>F,G</b>) can be found in supplementary <a href="#app1-biomolecules-15-00064" class="html-app">Figure S3</a>.</p>
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<p>The SLC22A3 transcription is negatively manipulated by FOXA1 while positively regulated by AR. (<b>A</b>) The transcription level of SLC22A3 was analyzed according to molecular signature from TCGA datasets with online software (accessed on 21 December 2021, <a href="https://ualcan.path.uab.edu/" target="_blank">https://ualcan.path.uab.edu/</a>). (<b>B</b>,<b>C</b>) The C4-2 cells were knocked down with the indicated TFs with siRNA, which was followed by qPCR to detect the mRNA level of SLC22A3 (<b>B</b>) and ChIP-qPCR to examine the enrichment of H3K27ac at the SLC22A3 promoter (<b>C</b>). (<b>D</b>) UCSC tracks from published datasets [<a href="#B48-biomolecules-15-00064" class="html-bibr">48</a>] show profiles of ChIP-seq signals of AR and H3K27ac in C4-2 cells. (<b>E</b>) UCSC tracks from published datasets [<a href="#B48-biomolecules-15-00064" class="html-bibr">48</a>] show profiles of RNA-seq signals of SLC22A3 after Enzalutamide treatment in C4-2 cells. The following symbols were used to denote statistical significance: n.s., not significant, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>The AR variants undermine SLC22A3 expression. (<b>A</b>) UCSC tracks from published datasets [<a href="#B47-biomolecules-15-00064" class="html-bibr">47</a>] show profiles of ChIP-seq signals of AR and H3K4me1 in AR FL and ARV-overexpressing cell lines. (<b>B</b>) VCaP nuclear protein extracts were incubated with biotin-labeled C allele, followed by the addition of 0.5 µg of AR or AR variant 7 antibody. The reactions were loaded to 6% of polyacrylamide DNA gel for EMSA assay. (<b>C</b>) The C4-2 cells were transfected with AR-FL or -V7 for 48 h and harvested for Western blot to detect the SLC22A3 protein level. Original images of (<b>B,C</b>) can be found in supplementary <a href="#app1-biomolecules-15-00064" class="html-app">Figure S3</a>.</p>
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<p>A working model to elucidate the interplay between FOXA1 and AR in regulating SLC22A3 transcription through SNP rs9364554. (<b>A</b>) Specifically, in primary prostate cancer, SLC22A3 is upregulated in AR FL-expressing cells but diminished in ARV-expressing cells in a background of C allele SNP rs9364554. However, in a background of T allele SNP rs9364554, FOXA1 competes AR in binding this site and undermines SLC22A3 transcription. (<b>B</b>) The mutations of FOXA1 enhance its binding affinity to either the C or T allele, resulting in the suppression of AR target gene expression. (<b>C</b>) In CRPC or NEPC patients, the lack of AR expression impairs SLC22A3 expression.</p>
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16 pages, 2941 KiB  
Article
Capsaicin Modulates Ruminal Fermentation and Bacterial Communities in Beef Cattle with High-Grain Diet-Induced Subacute Ruminal Acidosis
by Wei You, Haijian Cheng, Xin Hu, Enliang Song and Fugui Jiang
Microorganisms 2025, 13(1), 84; https://doi.org/10.3390/microorganisms13010084 - 4 Jan 2025
Viewed by 356
Abstract
This study was developed with the goal of exploring the impact of capsaicin on ruminal fermentation and ruminal bacteria in beef cattle affected by high-grain diet-induced subacute ruminal acidosis (SARA). In total, 18 healthy Simmental crossbred cattle were randomized into three separate groups [...] Read more.
This study was developed with the goal of exploring the impact of capsaicin on ruminal fermentation and ruminal bacteria in beef cattle affected by high-grain diet-induced subacute ruminal acidosis (SARA). In total, 18 healthy Simmental crossbred cattle were randomized into three separate groups (n = 6/group): (1) control diet (CON; forage-to-concentrate ratio = 80:20); (2) high-grain diet (SARA; forage-to-concentrate ratio = 20:80); and (3) high-grain diet supplemented with capsaicin (CAP; 250 mg/cattle/day). The study was conducted over a 60-day period. The results showed that the SARA model was successfully induced in the SARA group with a high-grain diet. Relative to the SARA group, the addition of capsaicin elevated the ruminal pH from 5.40 to 6.36 (p < 0.01), and decreased the total volatile fatty acids (VFAs) from 133.95 to 82.86 mmol/L (p < 0.01), aligning closely with the levels observed in the CON group. The addition of capsaicin increased the alpha diversity of ruminal bacteria relative to the SARA group, as evidenced by a lower Simpson index (p < 0.05), together with increases in the Ace, Chao, and Shannon indices (p < 0.05). Bacteroidota and Firmicutes were the most common phyla across all treatment groups, while Prevotella was the predominant genera. The unique bacterial genera (LDA scores > 4) identified within the SARA group comprised Succinivibrionaceae_UCG-001, Succinivibrio, NK4A214_group, Lachnospiraceae_NK3A20_group, and Ruminococcus, which may serve as potential biomarkers for the diagnosis of SARA. The unique genera associated with the CON group included Rikenellaceae_RC9_gut_group, Prevotellaceae_UCG-003, and U29-B03, while those for the CAP group included Succiniclasticum and Prevotellaceae_UCG-004. In summary, these results suggest that dietary capsaicin supplementation can limit the adverse effects of SARA through the modulation of bacterial communities within the rumen, thus altering ruminal fermentation in beef cattle. Full article
(This article belongs to the Section Gut Microbiota)
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<p>Differences in ruminal bacterial community diversity and richness in specific treatment groups. (<b>A</b>) Ace, (<b>B</b>) Chao1, (<b>C</b>) Shannon, and (<b>D</b>) Simpson indices. CON, control diet; SARA, high-concentrate diet; CAP, high-concentrate diet supplemented with capsaicin. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>(<b>A</b>) Principle coordinate analysis (PCoA) of the ruminal bacteria based on weighted unifrac distances. (<b>B</b>) A Venn diagram showing overlapping and unique OTUs in the ruminal fluid samples from the three treatment groups. CON, control diet; SARA, high-concentrate diet; CAP, high-concentrate diet supplemented with capsaicin.</p>
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<p>The relative abundance of ruminal bacteria in the indicated treatment groups at the (<b>A</b>) phylum and (<b>B</b>) genus levels. CON, control diet; SARA, high-concentrate diet; CAP, high-concentrate diet supplemented with capsaicin.</p>
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<p>Differences in the composition of the ruminal microbiome in the three treatment groups. (<b>A</b>) Linear discriminant analysis (LDA) scores for significantly changed bacteria in different treatment groups as assessed via the linear discriminant analysis effect size (LEfSe) method. A threshold logarithmic LDA score for discriminative features of 4.0 was used for these analyses. (<b>B</b>) A cladogram of bacteria exhibiting significant differential abundance. Differences are represented in the color of the most abundant taxa. (<b>C</b>) A box plot showing ruminal bacteria that were significantly differentially abundant. CON, control diet; SARA, high-concentrate diet; CAP, high-concentrate diet supplemented with capsaicin. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Correlation analysis between community structure and environmental factors. (<b>A</b>) Redundancy analysis (RDA) of bacterial data (symbols) and ruminal fermentation parameters (arrows). (<b>B</b>) A correlation matrix showing the relationships between ruminal fermentation parameters and the genus-level composition of the ruminal bacteria. Positive and negative correlations are, respectively, represented in blue and red, with color intensity being proportional to the Pearson correlation coefficient. CON, control diet; SARA, high-concentrate diet; CAP, high-concentrate diet supplemented with capsaicin. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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17 pages, 3478 KiB  
Article
Enzymatic Activity in the Anaerobic Co-Digestion of Cavitated Coffee Waste and Sewage Sludge
by Elżbieta Wołejko, Urszula Wydro, Aleksandra Szaja, Agnieszka Montusiewicz and Magdalena Lebiocka
Energies 2025, 18(1), 187; https://doi.org/10.3390/en18010187 - 4 Jan 2025
Viewed by 370
Abstract
Hydrodynamic cavitation (HDC) as a pre-treatment method is innovative and has potential for wide-scale industrial applications. The novelty of this research involves evaluating the enzymatic activity in the anaerobic co-digestion (AcD) of hydrodynamically cavitated coffee waste (CW) and municipal sewage sludge (SS) as [...] Read more.
Hydrodynamic cavitation (HDC) as a pre-treatment method is innovative and has potential for wide-scale industrial applications. The novelty of this research involves evaluating the enzymatic activity in the anaerobic co-digestion (AcD) of hydrodynamically cavitated coffee waste (CW) and municipal sewage sludge (SS) as well as its influence on the AcD performance. The effectiveness of AcD was assessed on the basis of changes in the physico-chemical composition of the feedstock and digestate as well as the biogas/methane yield, and attention was paid to the effect of coffee waste on enzyme activity, including that of β-Glucosidases (β-Glu), protease (PR), urease (URE), phosphomonoesterases acid (ACP) and alkaline (ALP). Moreover, the changes in the heavy metal content after the AcD of CW and SS were investigated. Comparing the enzymatic activity of the feedstock and digestate, we observed that the URE, ACP and ALP activities were 4.5 to 11 times higher for the feedstock than the enzyme activities in the digestate. Moreover, when using CW cavitated for 30 min, the highest enzymatic activity in both the feedstock and digestate occurred. The results indicated that the relationship between the β-Glu activity and biogas yield showed the strongest positive correlation (r = 0.98 at p ≤ 0.05). At the same time, a positive correlation between the PAC, PAL, URE and PR activity and methane yield and methane content at p ≤ 0.05 was observed. The obtained results allow us to conclude that, in the future, such a digestate could be used as a bio-fertilizer to improve degraded soil to activate microbial populations. Full article
(This article belongs to the Special Issue Energy from Waste: Towards Sustainable Development and Clean Future)
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<p>The main parameters of experiment (CW—coffee waste, MPW—mechanically pre-treated wastewater, HDC—hydrodynamic cavitation, SS—sewage sludge).</p>
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<p>The organic compound removal in the investigated variants. The results are presented as mean ± SD. COD—chemical oxygen demand, TS—total solids, VS—volatile solids, R0—with SS, R1—non-cavitated and with CW, R2—CW cavitated for 20 min, R3—CW cavitated for 30 min.</p>
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<p>The changes in biogas/methane yield and methane content depending on the investigated variants. The results are presented as mean ± SD. R0—with SS, R1—non-cavitated and with CW, R2—CW cavitated for 20 min, R3—CW cavitated for 30 min.</p>
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<p>Effects of CW and HDC on changes in macro-element concentrations in feedstock and digestate. The results are presented as mean ± SD. Different letters above the error bars indicate statistically significant differences evaluated by the Tukey test at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of CW and HDC on changes in micro-element concentrations in feedstock and digestate. The results are presented as mean ± SD. Different letters above the error bars indicate statistically significant differences evaluated by the Tukey test at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>The influence of CW and HDC on the enzymatic activity in the feedstock and digestate. The results are presented as mean ± SE. Different letters above the error bars indicate statistically significant differences evaluated by Tukey’s test at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Correlation analyses between enzymatic activity, content of metals and methane, biogas/methane yield, and physico-chemical properties in the (<b>A</b>) feedstock and (<b>B</b>) digestate.</p>
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19 pages, 4679 KiB  
Article
Development and Implementation of the MPPT Based on Incremental Conductance for Voltage and Frequency Control in Single-Stage DC-AC Converters
by Javier Alonso Ramírez Torres, Orlando Lastres Danguillecourt, Roberto Adrián González Domínguez, Guillermo Rogelio Ibáñez Duharte, Laura Elena Verea Valladares, Joel Pantoja Enríquez, Jesús Antonio Enríquez Santiago, Andrés López López and Antonio Verde Añorve
Energies 2025, 18(1), 184; https://doi.org/10.3390/en18010184 - 4 Jan 2025
Viewed by 395
Abstract
This paper presents the design, simulation, and experimental evaluation of a low-cost, fixed-step MPPT algorithm based on the incremental conductance technique for operation in a low-power photovoltaic (PV) system with a full-bridge DC-AC converter. The performance of the MPPT algorithm was improved by [...] Read more.
This paper presents the design, simulation, and experimental evaluation of a low-cost, fixed-step MPPT algorithm based on the incremental conductance technique for operation in a low-power photovoltaic (PV) system with a full-bridge DC-AC converter. The performance of the MPPT algorithm was improved by selecting an appropriate fixed perturbation step size and frequency, ensuring efficient power tracking. The implementation was further optimized by restructuring the conventional algorithm and adapting the DC-AC converter control parameters, which enhanced overall performance and optimized coupling for AC loads. The simulation was performed in Simulink/Matlab with a 560 Wp PV system and a resistive load, under variable irradiation conditions. The perturbation step size was set to 1%, and the perturbation frequency ranged between 2 Hz and 15 Hz, with the converter output at 60 Hz. Experimentally, it was validated at an irradiance of 1000 W/m2 and an ambient temperature of 45 °C. The algorithm achieved simulation efficiencies of up to 98.93% and an average experimental efficiency of 96.76%. The response time improved by 86% with a perturbation frequency of 15 Hz. This developed MPPT algorithm demonstrates its reliability, accuracy, and feasibility for implementation. Full article
(This article belongs to the Special Issue Energy, Electrical and Power Engineering: 3rd Edition)
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<p>P-V curve of a photovoltaic module at different irradiance levels.</p>
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<p>Basic classification of tracking techniques [<a href="#B3-energies-18-00184" class="html-bibr">3</a>].</p>
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<p>Diagram of the standalone photovoltaic system under study.</p>
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<p>Equivalent electrical circuit of a photovoltaic panel [<a href="#B1-energies-18-00184" class="html-bibr">1</a>,<a href="#B2-energies-18-00184" class="html-bibr">2</a>,<a href="#B3-energies-18-00184" class="html-bibr">3</a>].</p>
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<p>Conventional incremental conductance algorithm [<a href="#B6-energies-18-00184" class="html-bibr">6</a>].</p>
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<p>Diagram of the developed MPPT.</p>
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<p>System modeled in Simulink.</p>
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<p>System response under variable irradiance profile and different perturbation frequencies.</p>
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<p>Power response with MPPT at a perturbation frequency of 15 Hz under dynamic irradiance conditions.</p>
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<p>Dynamic system response to a sudden decrease in irradiance from 1000 W/m<sup>2</sup> to 500 W/m<sup>2</sup> at a perturbation frequency of 15 Hz.</p>
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<p>Dynamic system response to a sudden increase in irradiance from 500 W/m<sup>2</sup> to 800 W/m<sup>2</sup> at a perturbation frequency of 15 Hz.</p>
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<p>Dynamic response of the DC bus in terms of power, voltage, current, and modulation index under transient conditions.</p>
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<p>Dynamic response of the inverter output in terms of ac power, voltage, current, and modulation index under transient conditions.</p>
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<p>Experimental setup.</p>
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<p>Power of the photovoltaic array during stage 1 of evaluation.</p>
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<p>Experimental result of the N-INC during stage 2 of the evaluation.</p>
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16 pages, 2852 KiB  
Article
Effects of Different Nitrogen Fertilizer Application Rates on Soil Microbial Structure in Paddy Soil When Combined with Rice Straw Return
by Xiannan Zeng, Qi Wang, Qiulai Song, Quanxi Liang, Yu Sun and Fuqiang Song
Microorganisms 2025, 13(1), 79; https://doi.org/10.3390/microorganisms13010079 - 3 Jan 2025
Viewed by 392
Abstract
Metagenomic sequencing of the microbial soil community was used to assess the effect of various nitrogen fertilizer treatments in combination with constant rice straw return to the soil in the tiller layer of Northeast China’s black paddy soil used for rice production. Here, [...] Read more.
Metagenomic sequencing of the microbial soil community was used to assess the effect of various nitrogen fertilizer treatments in combination with constant rice straw return to the soil in the tiller layer of Northeast China’s black paddy soil used for rice production. Here, we investigated changes in the composition, diversity, and structure of soil microbial communities in the soil treated with four amounts of nitrogen fertilizers (53, 93, 133, and 173 kg/ha) applied to the soil under a constant straw return of 7500 kg/ha, with a control not receiving N. The relationships between soil microbial community structure and soil physical and chemical properties were determined. The results showed that the available K content of the soil significantly (p < 0.05) increased in soil receiving the lowest N-fertilizer dose. When applied at high amounts, N-fertilizer changed the Chao1 and ACE indices of the soil microorganisms (p < 0.05), and the treatments resulted in significant differences in the β-diversity of the soil microorganisms. By NMDS analysis it was demonstrated that the treatment significantly affected the structure of the soil microbial communities. Redundancy analysis showed that the main physicochemical drivers behind these differences were total nitrogen, total potassium, ammonium nitrogen, total phosphorus, and available potassium. The soil microbial communities in the control treatment were negatively correlated with nitrate and ammonium nitrogen; the lowest N-fertilizer treatment produced positive correlations with total nitrogen, total potassium, and total phosphorus and negative correlations with ammonium nitrogen; the highest dose negatively correlated with total nitrogen, available potassium, available phosphorus, total phosphorus, and pH. This study showed that moderate N fertilizer application is an effective way to increase soil microbial diversity and improve soil quality. This experiment provides technical support for the application of the alternative fertilizer technology of straw return to the field and provides a theoretical basis for rational fertilization of paddy fields in a cold climate. Full article
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<p>Diversity indices of microorganisms in the soil following different treatments. Statistical significance among different treatments was analyzed using ANOVA and Tukey’s post-hoc test.</p>
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<p>NMDS analysis (<b>A</b>) and PCoA analysis based on Bray–Curtis distance (<b>B</b>) of the soil microbial communities.</p>
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<p>Relative abundance of the top 10 microbial phyla, including 9 bacterial and 1 archaeal phyla (<b>A</b>), and of the top 10 bacterial genera (<b>B</b>) in the soils after the different treatments.</p>
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<p>Relative abundance of the top 10 microbial phyla, including 9 bacterial and 1 archaeal phyla (<b>A</b>), and of the top 10 bacterial genera (<b>B</b>) in the soils after the different treatments.</p>
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<p>Venn diagram showing the number of common and shared OTUs of the microbial communities within the five treatment groups.</p>
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<p>RDA/CCA analysis showing correlations between bacterial genera and the soil physicochemical properties.</p>
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<p>RDA/CCA analysis showing correlations between total microbial communities of the treatments (with triplicates shown) and the soil physicochemical properties.</p>
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<p>Results of LEfSe analysis of the soil microbiota after the five treatments.</p>
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