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21 pages, 9604 KB  
Article
Beyond Monoculture: A Comparative Analysis of Soil Properties and Grain Quality in Rice-Based Co-Culture Systems
by Yang Xu, Geye Ding, Weiwei Ma, Jiao Yuan, Jing Liu, Ziyu Xie, Junde Guo, Linzhi Ou, Huang Huang, Can Chen and Junhua Li
Biology 2025, 14(9), 1195; https://doi.org/10.3390/biology14091195 (registering DOI) - 4 Sep 2025
Abstract
Rice-based co-culture systems offer sustainable agricultural benefits, yet stage-specific impacts on soil properties and grain quality remain underexplored. This study presented the first comprehensive assessment of the stage-specific effects under conventional tillage (CTL), rice-chicken (RC), rice-fish (RF), and rice-chicken-fish (RCF) systems on soil [...] Read more.
Rice-based co-culture systems offer sustainable agricultural benefits, yet stage-specific impacts on soil properties and grain quality remain underexplored. This study presented the first comprehensive assessment of the stage-specific effects under conventional tillage (CTL), rice-chicken (RC), rice-fish (RF), and rice-chicken-fish (RCF) systems on soil fertility, enzymatic activities, microbial communities, and grain quality. Our novel temporally explicit analysis revealed system- and stage-dependent modulation. RCF increased late-season organic matter by 10.4%, while RC consistently enhanced available potassium. Enzymatic activities exhibited distinct temporal shifts, with RF showing peak catalase activity at heading (0.47 mL g−1 30 min−1), RC maintaining consistently higher invertase activity, and both RF and RCF displaying delayed urease peaks at filling (0.38 mg g−1 24 h−1). Microbial communities were significantly restructured (ANOSIM, R2 = 0.694, p < 0.001), with increased network complexity in co-cultures, particularly in RCF (95 nodes, 153 edges). Grain quality improvements included higher milling recovery (2.6–5.3%) in RC and elevated protein content (16.6%) in RF and RCF, along with reduced chalkiness (20–30%) across all co-cultures. Integrative analysis established linkages between soil properties (e.g., pH, organic matter, invertase), microbial taxa (e.g., Nitrospira, Syntrophus), and grain quality attributes. These findings provide mechanistic insights into soil-plant-microbe interactions and support the implementation of stage-specific management strategies for sustainable rice production systems. Full article
(This article belongs to the Section Microbiology)
14 pages, 814 KB  
Article
Simultaneous Determination of Polycyclic Aromatic Hydrocarbons and Anthraquinone in Yerba Mate by Modified MSPD Method and GC-MS
by Dylan M. Hoffmann, José D. da Silva, Igor F. de Souza, Gabriel A. P. Barbosa, Vagner A. Dutra, Osmar D. Prestes and Renato Zanella
Separations 2025, 12(9), 240; https://doi.org/10.3390/separations12090240 - 4 Sep 2025
Abstract
Yerba mate (Ilex paraguariensis) is widely consumed in South America and is valued for its bioactive compounds, such as polyphenols and methylxanthines. However, during traditional processing, mainly in the fire-based scorch and drying steps, polycyclic aromatic hydrocarbons (PAHs) and anthraquinone (AQ), substances with [...] Read more.
Yerba mate (Ilex paraguariensis) is widely consumed in South America and is valued for its bioactive compounds, such as polyphenols and methylxanthines. However, during traditional processing, mainly in the fire-based scorch and drying steps, polycyclic aromatic hydrocarbons (PAHs) and anthraquinone (AQ), substances with carcinogenic potential, may be formed. This study aimed to develop and validate an analytical method based on the balls-in-tube matrix solid-phase dispersion technique (BiT-MSPD) and analysis by gas chromatography with mass spectrometry (GC-MS) for the simultaneous determination of 16 priority PAHs and AQ in yerba mate. Parameters such as sorbent type, solvent, sample-to-sorbent ratio, and extraction time were optimized. The method showed good linearity (r2 > 0.99), detection limits between 1.8 and 3.6 µg·kg−1, recoveries ranging from 70 to 120%, and acceptable precision (RSD ≤ 20%). The method was applied to 31 yerba mate samples, including 20 commercial samples and 11 collected at different stages of processing. Most commercial samples showed detectable levels of PAHs, with some exceeding the limits established by the European Union. AQ was detected in 40% of the samples, with some values above the permitted limit of 20 µg·kg−1. The results confirm that scorch (sapeco) and drying contribute to contaminant formation, highlighting the need to modernize industrial processing practices. The proposed method proved to be effective, rapid, and sustainable, representing a promising tool for the quality control and food safety monitoring of yerba mate. Full article
(This article belongs to the Topic Advances in Analysis of Food and Beverages, 2nd Edition)
13 pages, 3271 KB  
Article
One-Step Controlled Electrodeposition Fabrication of Ternary PtNiCo Nanosheets for Electrocatalytic Ammonia–Nitrogen Sensing
by Liang Zhang, Yue Han, Yingying Huang, Jiali Gu, Xinyue Wang and Chun Zhao
Chemosensors 2025, 13(9), 335; https://doi.org/10.3390/chemosensors13090335 - 4 Sep 2025
Abstract
The development of high-performance electrochemical sensors is crucial for ammonia–nitrogen detection. Therefore, in this study, we successfully prepared one ternary PtNiCo nanosheet via the one-step electrodeposition technique. The ratio of H2PtCl6·6H2O, Ni(NO3)2·6H2 [...] Read more.
The development of high-performance electrochemical sensors is crucial for ammonia–nitrogen detection. Therefore, in this study, we successfully prepared one ternary PtNiCo nanosheet via the one-step electrodeposition technique. The ratio of H2PtCl6·6H2O, Ni(NO3)2·6H2O and Co(NO3)2·6H2O and electrodeposition time were controlled. Under optimal conditions, Pt6Ni2Co2-2000 demonstrated outstanding electrocatalytic performance, exhibiting a high oxidation peak current of 45.27 mA and excellent long-term stability, retaining 88.09% of its activity after 12 h. Furthermore, the sensing performance of Pt6Ni2Co2-2000 was evaluated, revealing high sensitivity (10.01 μA μM−1), a low detection limit (0.688 µM), strong anti-interference capability, great reusability, great reproducibility, and remarkable long-term stability. Additionally, recovery tests conducted in tap water, lake water, and seawater yielded highly favorable results. This study demonstrated that designing Pt-based alloys can not only enhance the electrochemical performance of Pt but also serve as an effective strategy for improving electrocatalytic ammonia oxidation and ammonia–nitrogen detection. Full article
(This article belongs to the Section Nanostructures for Chemical Sensing)
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14 pages, 2799 KB  
Article
Probing Neural Compensation in Rehabilitation of Acute Ischemic Stroke with Lesion Network Similarity Using Resting State Functional MRI
by Shanhua Han, Quan Tao, Boyu Zhang, Yifan Lv, Zhihao Li and Yu Luo
Brain Sci. 2025, 15(9), 964; https://doi.org/10.3390/brainsci15090964 (registering DOI) - 4 Sep 2025
Abstract
Background/Objectives: Neural compensation, in which healthy brain regions take over functions lost due to lesions, is a potential biomarker for functional recovery after stroke. However, previous neuroimaging studies often speculated on neural compensation simply based on greater measures in patients (compared to [...] Read more.
Background/Objectives: Neural compensation, in which healthy brain regions take over functions lost due to lesions, is a potential biomarker for functional recovery after stroke. However, previous neuroimaging studies often speculated on neural compensation simply based on greater measures in patients (compared to healthy controls) without demonstrating a more direct link between these measures and the functional recovery. Because taking over the function of a lesion region means taking on a similar role as that lesion region in its functional network, the present study attempted to explore neural compensation based on the similarity of functional connectivity (FC) patterns between a healthy regions and lesion regions. Methods: Seventeen stroke patients (13M4F, 63.2 ± 9.1 y.o.) underwent three resting-state functional MRI (rs-fMRI) sessions during rehabilitation. FC patterns of their lesion regions were derived by lesion network analysis; and these patterns were correlated with healthy FC patterns derived from each brain voxel of 51 healthy subjects (32M19F, 61.0 ± 14.3 y.o.) for the assessment of pattern similarity. Results: We identified five healthy regions showing decreasing FC similarity (29–54%, all corrected p < 0.05, effect size η2: 0.10–0.20) to the lesion network over time. These decreasing similarities were associated with increasing behavioral scores on activities of daily living (ADL, p < 0.001, η2 = 0.90), suggesting greater neural compensation at early-stage post-stroke and reduced compensation toward the end of effective rehabilitation. Conclusions: Besides direct FC measures, the present results propose an alternative biomarker of neural compensation in functional recovery from stroke. For sensorimotor recoveries like ADL, this biomarker could be more sensitive than direct measures of lesion connectivity in the motor network. Full article
(This article belongs to the Special Issue Deep Research into Stroke)
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18 pages, 2890 KB  
Article
Characterization of Pyrolysis Oils Using a Combination of GCx×GC/TOFMS and GC/HRMS Analysis: The Impact of Data Processing Parameters
by Xiangdong Chen, Carlos Rincon, Benoît Gadenne, José Dugay, Michel Sablier and Jérôme Vial
Separations 2025, 12(9), 239; https://doi.org/10.3390/separations12090239 - 4 Sep 2025
Abstract
Human population growth and increasing transportation demands have led to rising global tire consumption and associated waste. In response, various material and energy recovery strategies, such as pyrolysis, have been developed to produce high-value-added products such as pyrolysis oils, which can be reused [...] Read more.
Human population growth and increasing transportation demands have led to rising global tire consumption and associated waste. In response, various material and energy recovery strategies, such as pyrolysis, have been developed to produce high-value-added products such as pyrolysis oils, which can be reused as materials or fuels. However, these oils often contain heteroatom-containing compounds (e.g., nitrogen, oxygen, sulfur) that can hinder their valorization and must therefore be identified and removed. To characterize heteroatomic compounds present in distillation fractions of pyrolysis oils, GC × GC/TOFMS and GC/HRMS were employed. For non-target analysis, data processing parameters were optimized using a Central Composite Design (CCD). The most influential parameters for GC × GC/TOFMS were the minimum number of mass-to-charge ratio (m/z) signals kept in the deconvoluted spectra (minimum stick count) and peak signal-to-noise ratio (S/N), while for GC/HRMS, optimization focused on the m/z S/N threshold, peak S/N, and total ion current (TIC). Under optimal conditions, 129 and 92 heteroatomic compounds were identified via GC × GC/TOFMS and GC/HRMS, respectively, within a single distillation fraction, with 57 compounds identified using both techniques. Notably, GC × GC/TOFMS exclusively identified 72 compounds, while there were only 5 unique to GC/HRMS. These results highlight the effectiveness of GC × GC/TOFMS in characterizing heteroatomic compounds in complex mixtures, while also underlining the complementary value of GC/HRMS. Full article
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20 pages, 5076 KB  
Article
Hybrid-Domain Synergistic Transformer for Hyperspectral Image Denoising
by Haoyue Li and Di Wu
Appl. Sci. 2025, 15(17), 9735; https://doi.org/10.3390/app15179735 (registering DOI) - 4 Sep 2025
Abstract
Hyperspectral image (HSI) denoising is challenged by complex spatial-spectral noise coupling. Existing deep learning methods, primarily designed for RGB images, fail to address HSI-specific noise distributions and spectral correlations. This paper proposes a Hybrid-Domain Synergistic Transformer (HDST) integrating frequency-domain enhancement and multiscale modeling. [...] Read more.
Hyperspectral image (HSI) denoising is challenged by complex spatial-spectral noise coupling. Existing deep learning methods, primarily designed for RGB images, fail to address HSI-specific noise distributions and spectral correlations. This paper proposes a Hybrid-Domain Synergistic Transformer (HDST) integrating frequency-domain enhancement and multiscale modeling. Key contributions include (1) a Fourier-based preprocessing module decoupling spectral noise; (2) a dynamic cross-domain attention mechanism adaptively fusing spatial-frequency features; and (3) a hierarchical architecture combining global noise modeling and detail recovery. Experiments on realistic and synthetic datasets show HDST outperforms state-of-the-art methods in PSNR, with fewer parameters. Visual results confirm effective noise suppression without spectral distortion. The framework provides a robust solution for HSI denoising, demonstrating potential for high-dimensional visual data processing. Full article
33 pages, 4369 KB  
Review
Fuel-Cell Thermal Management Strategies for Enhanced Performance: Review of Fuel-Cell Thermal Management in Proton-Exchange Membrane Fuel Cells (PEMFCs) and Solid-Oxide Fuel Cells (SOFCs)
by Ibham Veza
Hydrogen 2025, 6(3), 65; https://doi.org/10.3390/hydrogen6030065 (registering DOI) - 4 Sep 2025
Abstract
Effective thermal management is crucial for optimizing the performance, efficiency, and durability of fuel-cell technologies, including proton-exchange membrane fuel cells (PEMFCs) and solid-oxide fuel cells (SOFCs). The operation of fuel cells involves complex heat generation mechanisms, primarily driven by electrochemical reactions, which can [...] Read more.
Effective thermal management is crucial for optimizing the performance, efficiency, and durability of fuel-cell technologies, including proton-exchange membrane fuel cells (PEMFCs) and solid-oxide fuel cells (SOFCs). The operation of fuel cells involves complex heat generation mechanisms, primarily driven by electrochemical reactions, which can lead to significant energy loss as heat. This review examines the specific heat generation sources and challenges associated with different fuel-cell types, highlighting the critical importance of effective thermal management strategies. Key techniques for thermal regulation, including active and passive cooling systems, are examined in detail. Active cooling methods like liquid cooling and air cooling are effective in dissipating excess heat, while passive methods leverage advanced materials and optimized designs to enhance natural heat dissipation. Furthermore, innovative heat recovery systems are explored, demonstrating their potential to enhance overall energy efficiency by capturing and repurposing waste heat. The integration of machine learning techniques has arisen as a promising avenue for advancing temperature control in fuel cells. Reinforcement learning, deep learning algorithms, and support vector machines, along with artificial neural networks, are discussed in the context of their application in managing temperature dynamics and optimizing thermal performance. The review also emphasizes the significance of real-time monitoring, as well as adaptive control strategies to respond effectively to the dynamic operating conditions of fuel cells. Understanding and applying these thermal management strategies is essential for the successful commercialization of fuel cells across various sectors, ranging from automotive to stationary power generation. With the growing demand for clean energy solutions, progress in thermal management techniques will be crucial in improving the dependability and practicality of fuel-cell systems. Full article
(This article belongs to the Special Issue Advances in Hydrogen Production, Storage, and Utilization)
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16 pages, 4764 KB  
Article
Simulation and Finite Element Analysis of the Electrical Contact Characteristics of Closing Resistors Under Dynamic Closing Impacts
by Yanyan Bao, Kang Liu, Xiao Wu, Zicheng Qiu, Hailong Wang, Simeng Li, Xiaofei Wang and Guangdong Zhang
Energies 2025, 18(17), 4714; https://doi.org/10.3390/en18174714 - 4 Sep 2025
Abstract
Closing resistors in ultra-high-voltage (UHV) gas-insulated circuit breakers (GCBs) are critical components designed to suppress inrush currents and transient overvoltages during switching operations. However, in practical service, these resistors are subjected to repeated mechanical impacts and transient electrical stresses, leading to degradation of [...] Read more.
Closing resistors in ultra-high-voltage (UHV) gas-insulated circuit breakers (GCBs) are critical components designed to suppress inrush currents and transient overvoltages during switching operations. However, in practical service, these resistors are subjected to repeated mechanical impacts and transient electrical stresses, leading to degradation of their electrical contact interfaces, fluctuating resistance values, and potential failure of the entire breaker assembly. Existing studies mostly simplify the closing resistor as a constant resistance element, neglecting the coupled electro-thermal–mechanical effects that occur during transient events. In this work, a comprehensive modeling framework is developed to investigate the dynamic electrical contact characteristics of a 750 kV GCB closing resistor under transient closing impacts. First, an electromagnetic transient model is built to calculate the combined inrush and power-frequency currents flowing through the resistor during its pre-insertion period. A full-scale mechanical test platform is then used to capture acceleration signals representing the mechanical shock imparted to the resistor stack. These measured signals are fed into a finite element model incorporating the Cooper–Mikic–Yovanovich (CMY) electrical contact correlation to simulate stress evolution, current density distribution, and temperature rise at the resistor interface. The simulation reveals pronounced skin effect and current crowding at resistor edges, leading to localized heating, while transient mechanical impacts cause contact pressure to fluctuate dynamically—resulting in a temporary decrease and subsequent recovery of contact resistance. These findings provide insight into the real-time behavior of closing resistors under operational conditions and offer a theoretical basis for design optimization and lifetime assessment of UHV GCBs. Full article
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19 pages, 1642 KB  
Article
Effects of Roxithromycin Exposure on the Nitrogen Metabolism and Environmental Bacterial Recruitment of Chlorella pyrenoidosa
by Jiping Li, Ying Wang, Zijie Xu, Chenyang Wu, Zixin Zhu, Xingsheng Lyu, Jingjing Li, Xingru Zhang, Yan Wang, Yuming Luo and Wei Li
Plants 2025, 14(17), 2774; https://doi.org/10.3390/plants14172774 - 4 Sep 2025
Abstract
The ecotoxicity induced by macrolides has attracted widespread attention, but their impacts on the nitrogen metabolism and symbiotic environmental bacteria of microalgae remain unclear. This study examined the effects of roxithromycin (ROX) on the growth, chlorophyll levels, and nitrogen metabolism of Chlorella pyrenoidosa [...] Read more.
The ecotoxicity induced by macrolides has attracted widespread attention, but their impacts on the nitrogen metabolism and symbiotic environmental bacteria of microalgae remain unclear. This study examined the effects of roxithromycin (ROX) on the growth, chlorophyll levels, and nitrogen metabolism of Chlorella pyrenoidosa; investigated the changes in the composition and functions of environmental bacterial communities; and finally, analyzed the relationship between microalgae and environmental bacteria. The results indicated that all concentrations of ROX (0.1, 0.25, and 1 mg/L) inhibited microalgae growth, but the inhibition rates gradually decreased after a certain exposure period. For instance, the inhibition rate in the 1 mg/L treatment group reached the highest value of 43.43% at 7 d, which then decreased to 18.93% at 21 d. Although the total chlorophyll content was slightly inhibited by 1 mg/L ROX, the Chl-a/Chl-b value increased between 3 and 21 d. The nitrate reductase activities in the three treatments were inhibited at 3 d, but gradually returned to normal levels and even exceeded that of the control group at 21 d. Under ROX treatment, the consumption of NO3 by microalgae corresponded to the nitrate reductase activity, with slower consumption in the early stage and no obvious difference from the control group in the later stage. Overall, the diversity of environmental bacteria did not undergo significant changes, but the abundance of some specific bacteria increased, such as nitrogen-fixing bacteria (unclassified-f-Rhizobiaceae and Mesorhizobium) and organic contaminant-degrading bacteria (Limnobacter, Sphingopyxis, and Aquimonas). The 0.25 and 1 mg/L ROX treatments significantly enhanced the carbohydrate metabolism, cofactor and vitamin metabolism, amino acid metabolism, and energy metabolism of the environmental bacteria, but significantly downregulated nitrogen denitrification. This study provides new insights into the environmental bacteria-driven recovery mechanism of microalgae under antibiotic stress. Full article
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27 pages, 3790 KB  
Article
Organic Fertilizer Optimization for Enhanced Growth and Nutrient Uptake in Bell Pepper Transplants (Capsicum annuum L.)
by Jun Liu, Joseph Masabni and Genhua Niu
Horticulturae 2025, 11(9), 1066; https://doi.org/10.3390/horticulturae11091066 - 4 Sep 2025
Abstract
Organic fertilization management for vegetable transplant production is challenging to growers due to the slow and unpredictable release nature of organic fertilizers. Nutrients in organic fertilizers, particularly nitrogen (N), often fail to meet the demands of rapidly growing transplants in soilless substrate. This [...] Read more.
Organic fertilization management for vegetable transplant production is challenging to growers due to the slow and unpredictable release nature of organic fertilizers. Nutrients in organic fertilizers, particularly nitrogen (N), often fail to meet the demands of rapidly growing transplants in soilless substrate. This study aimed to develop fertilization guidelines for organic bell pepper (Capsicum annuum L.) transplants by evaluating the performance of one conventional fertilizer, two organic fertilizers (Drammatic, Pre-Empt), and one naturally derived fertilizer (Bio-Matrix) at a range of N rates in supporting transplant growth. Bell pepper transplants were grown in an indoor growing chamber for 28 days with weekly fertilizer application. We found that the initial nitrate-N concentration in the fertilizer solution was the sole predictor of shoot dry weight (R2 = 0.62), confirming that N availability was the primary limiting factor for transplant growth. The conventional fertilizer produced the largest transplants (370.9 mg/plant in shoot dry weight) while Drammatic resulted in the lowest maximum shoot growth (196.6 mg/plant), likely due to its high salinity and the accumulation of ammonium in the substrate. Bell pepper transplants exhibited low nutrient uptake capability and resulted in low N recovery efficiency, especially with the two organic fertilizers, Drammatic and Pre-Empt (15.6% and 23.8%, respectively). Furthermore, we found no carryover effects of the fertilizer treatments during the transplant stage on bell pepper growth after being transplanted to the greenhouse for 18 days. The final shoot dry weight only correlated with transplant shoot dry weight at the time of transplanting (R2 = 0.87) but not with fertilizer type (p = 0.2849). Overall, Pre-Empt emerged as the most effective fertilizer for organic bell pepper transplant production. It is cost-effective, has low electrical conductivity, and is associated with low ammonium accumulation in the substrate. Therefore, it can be applied at high N rates to meet the N demand of bell pepper transplants. Based on our growing conditions, we recommend 23.1 g/L substrate of Pre-Empt for organic bell pepper transplant production. Full article
(This article belongs to the Section Vegetable Production Systems)
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19 pages, 1737 KB  
Article
Recovery of Valuable Raw Materials Using KOMAG Jig Beneficiation Laboratory Studies and Industrial Implementations
by Daniel Kowol, Piotr Matusiak, Dariusz Prostański, Rafał Baron, Paweł Friebe, Marcin Lutyński and Konrad Kołodziej
Minerals 2025, 15(9), 943; https://doi.org/10.3390/min15090943 - 4 Sep 2025
Abstract
Gravity beneficiation is a key operation in mineral processing and waste recycling, enabling the production of concentrates with required quality. Among gravity separators, pulsating jigs remain widely applied due to their robustness and adaptability. This study evaluates the KOMAG laboratory jig for upgrading [...] Read more.
Gravity beneficiation is a key operation in mineral processing and waste recycling, enabling the production of concentrates with required quality. Among gravity separators, pulsating jigs remain widely applied due to their robustness and adaptability. This study evaluates the KOMAG laboratory jig for upgrading diverse feedstocks: hard coal with variable ash content, gravel aggregates with organic impurities, post-mining waste, and battery scrap. Tests were performed on a two-chamber jig with an air-pulsation system and advanced control. The results confirmed the feasibility of obtaining coal concentrates with 8%–10% ash at 59%–71% yield, complete removal of organic contaminants from aggregates with minimal losses, and recovery of combustible fractions from post-mining waste with favourable separation parameters (d50 = 1.569 g/cm3, imperfection = 0.191). Beneficiation of shredded battery scrap achieved 74%–88% plastic removal and over 99% metallic recovery. Industrial implementations of KOMAG pulsating jigs validated these findings, showing high efficiency in coal, aggregate, and waste processing. This study demonstrates the versatility of pulsating jigging and its relevance in sustainable resource management, confirming that laboratory results can be effectively scaled to industrial practice. Full article
(This article belongs to the Special Issue Recycling of Mining and Solid Wastes)
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32 pages, 1503 KB  
Review
Adaptive Responses in Severe Acute Malnutrition: Endocrinology, Metabolomics, Mortality, and Growth
by Laura Page, Elizabeth McCain and Michael Freemark
Nutrients 2025, 17(17), 2864; https://doi.org/10.3390/nu17172864 - 4 Sep 2025
Abstract
Malnutrition afflicts millions of the world’s children and predisposes to death from diarrhea and infectious diseases. Children with severe acute malnutrition (SAM) are at highest risk. Our review of the endocrinology and metabolomics of SAM implicates critical roles for white adipose tissue and [...] Read more.
Malnutrition afflicts millions of the world’s children and predisposes to death from diarrhea and infectious diseases. Children with severe acute malnutrition (SAM) are at highest risk. Our review of the endocrinology and metabolomics of SAM implicates critical roles for white adipose tissue and its regulatory hormones and growth factors in the adaptation to nutritional deprivation and the restoration of metabolic homeostasis: white adipose provides substrates and energy for hepatic glucose production and cardiopulmonary and central nervous system function, and products of fat metabolism inhibit muscle glucose uptake and utilization and spare muscle protein. Collectively, these effects maintain glucose availability for the brain, red blood cells, and renal medulla and conserve muscle mass. White adipose tissue also secretes leptin, which facilitates the immune response and may protect against mortality from infection. Euglycemia and survival in SAM are thereby prioritized over linear growth, which is suppressed owing to inhibition of insulin-like growth factor 1 production and action. Diversion of energy from growth serves to maintain essential bodily functions in critically ill malnourished children, who have limited energy reserves. Thus, short-term reductions in growth rate have adaptive benefits in SAM. Under favorable conditions, clinical and metabolic recovery are accompanied by catch-up growth, which can mitigate, and in many cases reverse, the stunting of growth in childhood. Nevertheless, clinical recovery can be complicated by preferential accrual of central fat and a relative deficiency of lean/skeletal mass, with potential long-term complications including insulin resistance, glucose intolerance, and metabolic syndrome. Full article
(This article belongs to the Special Issue Pathogenesis, Treatment, and Complications of Childhood Malnutrition)
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10 pages, 1231 KB  
Case Report
Right Atrial Thrombus Complicating LVAD Candidacy: A Clinical Case Study
by Cetin Alak, Aarti Desai, Abdallah El-Sabbagh, Daniel Yip and Rohan Goswami
J. Clin. Med. 2025, 14(17), 6242; https://doi.org/10.3390/jcm14176242 - 4 Sep 2025
Abstract
Background: Right atrial thrombus (RAT), though rare, carries a high risk of pulmonary or systemic embolism and a 25–44% mortality rate. In LVAD candidates, coexisting RAT significantly complicates perioperative management due to their critical condition and high risk of decompensation during surgery. [...] Read more.
Background: Right atrial thrombus (RAT), though rare, carries a high risk of pulmonary or systemic embolism and a 25–44% mortality rate. In LVAD candidates, coexisting RAT significantly complicates perioperative management due to their critical condition and high risk of decompensation during surgery. Percutaneous thrombectomy offers a less invasive, lower-risk alternative to open surgery, enabling faster recovery. Case Presentation: We present a case of a 76-year-old male with ischemic cardiomyopathy and heart failure secondary to Adriamycin chemotherapy with an ejection fraction (EF) of 26%, diabetes mellitus, and stage 3 chronic kidney disease, scheduled for left ventricular assist device (LVAD) implantation. Preoperative echocardiography revealed a large, multilobulated, mobile thrombus in the right atrium. Given the high surgical risk and thrombus mobility, percutaneous thrombectomy using the AngioVac system (Angiodynamics, Latham, NY, USA) was performed. The thrombus was successfully removed, and the patient was discharged on apixaban for long-term anticoagulation. Advanced medical therapy and transplant/durable LVAD evaluation were delayed by 35 days to allow for the stabilization of any postoperative effects. Conclusions: This case underscores the efficacy of percutaneous thrombectomy as a bridge to LVAD in high-risk patients, reducing thromboembolic complications and supporting safe LVAD implantation. Full article
(This article belongs to the Section Cardiology)
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15 pages, 5595 KB  
Article
Enhanced Methane Production in the Anaerobic Digestion of Swine Manure: Effects of Substrate-to-Inoculum Ratio and Magnetite-Mediated Direct Interspecies Electron Transfer
by Jung-Sup Lee, Tae-Hoon Kim, Byung-Kyu Ahn, Yun-Ju Jeon, Ji-Hye Ahn, Waris Khan, Seoktae Kang, Junho Kim and Yeo-Myeong Yun
Energies 2025, 18(17), 4692; https://doi.org/10.3390/en18174692 - 4 Sep 2025
Abstract
Improving the anaerobic digestion (AD) of swine manure is crucial for sustainable waste-to-energy systems, given its high organic load and process instability risks. This study examined the combined effects of substrate-to-inoculum ratio (SIR, 0.1–3.2) and magnetite-mediated direct interspecies electron transfer on biogas production, [...] Read more.
Improving the anaerobic digestion (AD) of swine manure is crucial for sustainable waste-to-energy systems, given its high organic load and process instability risks. This study examined the combined effects of substrate-to-inoculum ratio (SIR, 0.1–3.2) and magnetite-mediated direct interspecies electron transfer on biogas production, effluent quality, and microbial community dynamics. The highest methane yield (262 ± 10 mL CH4/g COD) was obtained at SIR 0.1, while efficiency declined at higher SIRs due to acid and ammonia accumulation. Magnetite supplementation significantly improved methane yield (up to a 54.1% increase at SIR 0.2) and reduced the lag phase, particularly under moderate SIRs. Effluent characterization revealed that low SIRs induced elevated soluble COD (SCOD) levels, attributed to microbial autolysis and extracellular polymeric substance release. Furthermore, magnetite addition mitigated SCOD accumulation and shifted molecular weight distributions toward higher fractions (>15 kDa), indicating enhanced microbial activity and structural polymer formation. Microbial analysis revealed that magnetite-enriched Syntrophobacterium and Methanothrix promoted syntrophic cooperation and acetoclastic methanogenesis. Diversity indices and PCoA further showed that both SIR and magnetite significantly shaped microbial structure and function. Overall, an optimal SIR range of 0.2–0.4 under magnetite addition provided a balanced strategy for enhancing methane recovery, effluent quality, and microbial stability in swine manure AD. Full article
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Article
Functional Brain Connectivity During Stress Induction and Recovery: Normal Subjects
by Jaehui Kim and Mi-Hyun Choi
Appl. Sci. 2025, 15(17), 9714; https://doi.org/10.3390/app15179714 - 4 Sep 2025
Abstract
This study aimed to compare the changes in brain functional connectivity between states of stress induction and recovery in mentally stable, healthy individuals to investigate the effects of stress on brain networks. We selected a stable group comprising 20 healthy adults with Perceived [...] Read more.
This study aimed to compare the changes in brain functional connectivity between states of stress induction and recovery in mentally stable, healthy individuals to investigate the effects of stress on brain networks. We selected a stable group comprising 20 healthy adults with Perceived Stress Scale scores of 0–13 points and a mean age of 24.4 ± 4.3 years. We used the Montreal Imaging Stress Task to induce stress and captured images of the brain using a 3T magnetic resonance imaging scanner. We analyzed the region of interest (ROI)-to-ROI connectivity and compared the differences in functional connectivity between the stress and recovery phases. In the stress state, we observed increased connectivity between the dorsal attention and sensorimotor networks and between the visual and default mode networks. In the recovery state, the default mode network became reactivated, and connectivity supporting self-referential thinking and stability was observed. The connectivities observed only in the recovery phase were Language.pSTG (R)—DefaultMode.LP (R) and DefaultMode.LP (R)—Visual.Lateral (R). Our findings provide important basic data for the development of stress management and recovery strategies. By assessing healthy individuals, our findings provide new perspectives on stress resilience in the brain. Full article
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