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14 pages, 2011 KiB  
Article
Circulating of In Situ Recovered Stream from Fermentation Broth as the Liquor for Lignocellulosic Biobutanol Production
by Changsheng Su, Yunxing Gao, Gege Zhang, Xinyue Zhang, Yating Li, Hongjia Zhang, Hao Wen, Wenqiang Ren, Changwei Zhang and Di Cai
Fermentation 2025, 11(8), 453; https://doi.org/10.3390/fermentation11080453 (registering DOI) - 3 Aug 2025
Abstract
Developing a more efficient, cleaner, and energy-saving pretreatment process is the primary goal for lignocellulosic biofuels production. This study demonstrated the feasibility of circulating high-concentration acetone–butanol–ethanol (ABE) obtained via in situ product recovery (ISPR) as a pretreatment liquor. Taking ABE solvent separated from [...] Read more.
Developing a more efficient, cleaner, and energy-saving pretreatment process is the primary goal for lignocellulosic biofuels production. This study demonstrated the feasibility of circulating high-concentration acetone–butanol–ethanol (ABE) obtained via in situ product recovery (ISPR) as a pretreatment liquor. Taking ABE solvent separated from pervaporation (PV) and gas stripping (GS) as examples, results indicated that under dilute alkaline (1% NaOH) catalysis, the highly recalcitrant lignocellulosic matrices can be efficiently depolymerized, thereby improving fermentable sugars recovery in saccharification stage and ABE yield in subsequent fermentation stage. Results also revealed delignification of 91.5% (stream from PV) and 94.3% (stream from GS), with total monosaccharides recovery rates of 56.5% and 57.1%, respectively, can be realized when using corn stover as feedstock. Coupled with ABE fermentation, mass balance indicated a maximal 106.6 g of ABE (65.8 g butanol) can be produced from 1 kg of dry corn stover by circulating the GS condensate in pretreatment (the optimized pretreatment conditions were 1% w/v alkali and 160 °C for 1 h). Additionally, technical lignin with low molecular weight and narrow distribution was isolated, which enabled further side-stream valorisation. Therefore, integrating ISPR product circulation with lignocellulosic biobutanol shows strong potential for application under the concept of biorefinery. Full article
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22 pages, 13770 KiB  
Article
Prediction Model of Powdery Mildew Disease Index in Rubber Trees Based on Machine Learning
by Jiazheng Zhu, Xize Huang, Xiaoyu Liang, Meng Wang and Yu Zhang
Plants 2025, 14(15), 2402; https://doi.org/10.3390/plants14152402 (registering DOI) - 3 Aug 2025
Abstract
Powdery mildew, caused by Erysiphe quercicola, is one of the primary diseases responsible for the reduction in natural rubber production in China. This disease is a typical airborne pathogen, characterized by its ability to spread via air currents and rapidly escalate into [...] Read more.
Powdery mildew, caused by Erysiphe quercicola, is one of the primary diseases responsible for the reduction in natural rubber production in China. This disease is a typical airborne pathogen, characterized by its ability to spread via air currents and rapidly escalate into an epidemic under favorable environmental conditions. Accurate prediction and determination of the prevention and control period represent both a critical challenge and key focus area in managing rubber-tree powdery mildew. This study investigates the effects of spore concentration, environmental factors, and infection time on the progression of powdery mildew in rubber trees. By employing six distinct machine learning model construction methods, with the disease index of powdery mildew in rubber trees as the response variable and spore concentration, temperature, humidity, and infection time as predictive variables, a preliminary predictive model for the disease index of rubber-tree powdery mildew was developed. Results from indoor inoculation experiments indicate that spore concentration directly influences disease progression and severity. Higher spore concentrations lead to faster disease development and increased severity. The optimal relative humidity for powdery mildew development in rubber trees is 80% RH. At varying temperatures, the influence of humidity on the disease index differs across spore concentration, exhibiting distinct trends. Each model effectively simulates the progression of powdery mildew in rubber trees, with predicted values closely aligning with observed data. Among the models, the Kernel Ridge Regression (KRR) model demonstrates the highest accuracy, the R2 values for the training set and test set were 0.978 and 0.964, respectively, while the RMSE values were 4.037 and 4.926, respectively. This research provides a robust technical foundation for reducing the labor intensity of traditional prediction methods and offers valuable insights for forecasting airborne forest diseases. Full article
(This article belongs to the Section Plant Modeling)
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17 pages, 2413 KiB  
Article
Vision-Ray-Calibration-Based Monocular Deflectometry by Poses Estimation from Reflections
by Cheng Liu, Jianhua Liu, Yanming Xing, Xiaohui Ao, Wang Zhang and Chunguang Yang
Sensors 2025, 25(15), 4778; https://doi.org/10.3390/s25154778 (registering DOI) - 3 Aug 2025
Abstract
A monocular deflectometric system comprises a camera and a screen that collaboratively facilitate the reconstruction of a specular surface under test (SUT). This paper presents a methodology for solving the slope distribution of the SUT utilizing pose estimation derived from reflections, based on [...] Read more.
A monocular deflectometric system comprises a camera and a screen that collaboratively facilitate the reconstruction of a specular surface under test (SUT). This paper presents a methodology for solving the slope distribution of the SUT utilizing pose estimation derived from reflections, based on vision ray calibration (VRC). Initially recorded by the camera, an assisted flat mirror in different postures reflects the patterns displayed by a screen maintained in a constant posture. The system undergoes a calibration based on the VRC to ascertain the vision ray distribution of the camera and the spatial relationship between the camera and the screen. Subsequently, the camera records the reflected patterns by the SUT, which remains in a constant posture while the screen is adjusted to multiple postures. Utilizing the VRC, the vision ray distribution among several postures of the screen and the SUT is calibrated. Following this, an iterative integrated calibration is performed, employing the calibration results from the preceding separate calibrations as initial parameters. The integrated calibration amalgamates the cost functions from the separate calibrations with the intersection of lines in Plücker space. Ultimately, the results from the integrated calibration yield the slope distribution of the SUT, enabling an integral reconstruction. In both the numeric simulations and actual measurements, the integrated calibration significantly enhances the accuracy of the reconstructions when compared to the reconstructions with the separate calibrations. Full article
(This article belongs to the Section Optical Sensors)
9 pages, 537 KiB  
Communication
Wild/Woodland Mushroom Poisoning: The Experience of Bucharest Emergency Hospital-Retrospective Study of ER 2023–2024 Presentations
by Bogdan Oprita, Mihai Ciprian Neacsu, Bogdan Alexandru Dinu, Ionut Olaru and Ruxandra Oprita
J. Fungi 2025, 11(8), 578; https://doi.org/10.3390/jof11080578 (registering DOI) - 3 Aug 2025
Abstract
The global trend of increasing mushroom consumption, combined with traditional practices in Romania and other Eastern European countries of collecting and consuming “wild mushrooms”, may contribute to the rising incidence of emergency presentations due to inedible mushroom poisoning. This study aims to identify [...] Read more.
The global trend of increasing mushroom consumption, combined with traditional practices in Romania and other Eastern European countries of collecting and consuming “wild mushrooms”, may contribute to the rising incidence of emergency presentations due to inedible mushroom poisoning. This study aims to identify the clinical features of mushroom poisoning by retrospectively analyzing 47 cases presented to the Emergency Department of the Bucharest Emergency Hospital between 2023 and 2024. The methodology consists of a retrospective cohort study including all patients presented to the Emergency Department of the Bucharest Emergency Hospital with symptoms following mushroom ingestion between 2023 and 2024 totaling 47 cases. Conclusions: In this cohort, most cases of wild/forest mushroom poisoning (76.59%) were diagnosed during autumn, particularly in September and October. The distribution of cases was uniform with respect to both gender and urban versus rural residence. A significant proportion of patients (74.46%) required hospitalization for surveillance and/or specific treatment. The predominant clinical presentation consisted of gastrointestinal symptoms, observed in 97.87% of cases. Full article
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9 pages, 198 KiB  
Editorial
Recent Developments in Machine Design, Automation and Robotics
by Raul D. S. G. Campilho
Machines 2025, 13(8), 683; https://doi.org/10.3390/machines13080683 (registering DOI) - 3 Aug 2025
Abstract
This editorial introduces a Special Issue of Machines entitled “Recent Developments in Machine Design, Automation and Robotics” [...] Full article
(This article belongs to the Special Issue Recent Developments in Machine Design, Automation and Robotics)
17 pages, 1105 KiB  
Article
The Effects of Group Fitness Programs Zumba and MoFit on Body Composition Parameters in Women
by Armin Zećirović, Dejan Ćeremidžić, Aleksandar Joksimović, Tatjana Ćeremidžić, Dina Joksimović, Nikola Aksović, Lazar Toskić, Cristian-Corneliu Dragoi, Vasile Cătălin Ciocan, Anghel Mihaela, Tatiana Dobrescu and Daniel-Lucian Dobreci
Life 2025, 15(8), 1225; https://doi.org/10.3390/life15081225 (registering DOI) - 3 Aug 2025
Abstract
(1) Background: Physical inactivity is a major public health concern in modern society. Group fitness programs are widely used to promote physical activity, combining choreographed movements with various dance steps and music. This study aimed to examine the effects of Zumba and MoFit [...] Read more.
(1) Background: Physical inactivity is a major public health concern in modern society. Group fitness programs are widely used to promote physical activity, combining choreographed movements with various dance steps and music. This study aimed to examine the effects of Zumba and MoFit group fitness programs on body composition parameters in women. (2) Methods: The study included 98 female participants (Mean age = 27.8 ± 2.9 years), divided into three groups: E1 (n = 33), which followed the experimental Zumba program; E2 (n = 31), which followed the experimental MoFit program; and a control group (n = 34), which continued with their usual daily activities for 10 weeks. Body composition was assessed using 14 variables measured with the InBody 270 analyser. Statistical analyses included paired t-tests, MANCOVA, and ANCOVA. (3) Results: The findings confirmed the positive effects of both group fitness programs on most body composition parameters in women (p < 0.001). However, Bonferroni post hoc test results indicated that the Zumba program led to significantly greater improvements in most body composition variables compared to the MoFit program. (4) Conclusions: Both Zumba and MoFit programs were effective in reducing body fat, increasing muscle mass, total body water, and mineral content, whereas the control group did not achieve positive changes. Full article
(This article belongs to the Section Physiology and Pathology)
22 pages, 317 KiB  
Review
Contract Mechanisms for Value-Based Technology Adoption in Healthcare Systems
by Aydin Teymourifar
Systems 2025, 13(8), 655; https://doi.org/10.3390/systems13080655 (registering DOI) - 3 Aug 2025
Abstract
Although technological innovations are often intended to improve quality and efficiency, they can exacerbate systemic challenges when not aligned with the principles of value-based care. As a result, healthcare systems in many countries face persistent inefficiencies stemming from the overuse, underuse, misuse, and [...] Read more.
Although technological innovations are often intended to improve quality and efficiency, they can exacerbate systemic challenges when not aligned with the principles of value-based care. As a result, healthcare systems in many countries face persistent inefficiencies stemming from the overuse, underuse, misuse, and waste associated with the adoption of health technology. This narrative review examines the dual impact of healthcare technology and evaluates how contract mechanisms can serve as strategic tools for promoting cost-effective, outcome-oriented integration. Drawing from healthcare management, and supply chain literature, this paper analyzes various payment and contract models, including performance-based, bundled, cost-sharing, and revenue-sharing agreements, through the lens of stakeholder alignment. It explores how these mechanisms influence provider behavior, patient access, and system sustainability. The study contends that well-designed contract mechanisms can align stakeholder incentives, reduce inefficiencies, and support the delivery of high-value care across diverse healthcare settings. We provide concrete examples to illustrate how various contract mechanisms impact the integration of health technologies in practice. Full article
(This article belongs to the Special Issue Operations Management in Healthcare Systems)
14 pages, 3520 KiB  
Article
Anterior Chamber Configuration and Its Related Factors Among 8-Year-Old Children in the Yamanashi Adjunct Study of the Japan Environment and Children’s Study
by Mingxue Bao, Ryo Harada, Yuka Kasai, Natsuki Okabe, Airi Takahashi, Chio Kuleshov, Yumi Shigemoto, Tadao Ooka, Hiroshi Yokomichi, Kunio Miyake, Reiji Kojima, Ryoji Shinohara, Hideki Yui, Sanae Otawa, Anna Kobayashi, Megumi Kushima, Zentaro Yamagata, Kenji Kashiwagi and on behalf of The Yamanashi Adjunct Study of the Japan Environment and Children’s Study Group
J. Clin. Med. 2025, 14(15), 5454; https://doi.org/10.3390/jcm14155454 (registering DOI) - 3 Aug 2025
Abstract
Objective: This study aims to examine the anterior chamber structure and related factors in 8-year-old children based on data from The Yamanashi Adjunct Study of the Japan Environment and Children’s Study (JECS). Methods: A total of 709 children aged 8 years [...] Read more.
Objective: This study aims to examine the anterior chamber structure and related factors in 8-year-old children based on data from The Yamanashi Adjunct Study of the Japan Environment and Children’s Study (JECS). Methods: A total of 709 children aged 8 years (350 boys and 359 girls) who participated in the JECS Adjunct Study were included. The right eyes were primarily used for measurements. Optical Coherence Tomography (OCT) was utilized to scan the anterior chambers of the participants’ eyes. The following parameters were measured: Angle Opening Distance (AOD500, 750), Trabecular Iris Space Area (TISA500, 750), Anterior Chamber Angle (ACA500, 750), Peripheral Iris Thickness (IT500, 750), and Peripheral Corneal Thickness (PCT500, 750). The relationships between anterior chamber structure, axial length (AL), spherical equivalent (SE), logMAR (without correction), and body height were analyzed. Results: A significant negative correlation was found between SE and ACA (500: coefficient = −0.19; 750: −0.24), AOD (500: −0.19; 750: −0.24), and TISA (500: −0.17; 750: −0.23) (p < 0.001). Conversely, a significant positive correlation was observed between AL and ACA (500: 0.22; 750: 0.26), AOD (500: 0.25; 750: 0.30), and TISA (500: 0.24; 750: 0.29) (p < 0.001). Boys exhibited a longer AL (boys: girls = 23.30 ± 0.76 mm; girls = 22.79 ± 0.72 mm) and greater CT (500: boys = 812.82 ± 51.94 mm; girls = 784.48 ± 51.81 mm; 750: boys = 776.01 ± 48.64 mm; girls = 751.34 ± 49.63 mm) compared to girls (p < 0.001) despite no significant difference in body height. CT and IT showed no correlation with AL or SE, and visual acuity had minimal correlation with IT and CT. Conclusions: In our cohort of eight-year-old children, the anterior chamber angle structure correlates with ocular structures and refractive error, revealing notable differences between boys and girls. Full article
(This article belongs to the Section Ophthalmology)
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16 pages, 3158 KiB  
Article
Comparative Metabolomics Analysis of Four Pineapple (Ananas comosus L. Merr) Varieties with Different Fruit Quality
by Ping Zheng, Jiahao Wu, Denglin Li, Shiyu Xie, Xinkai Cai, Qiang Xiao, Jing Wang, Qinglong Yao, Shengzhen Chen, Ruoyu Liu, Yuqin Liang, Yangmei Zhang, Biao Deng, Yuan Qin and Xiaomei Wang
Plants 2025, 14(15), 2400; https://doi.org/10.3390/plants14152400 (registering DOI) - 3 Aug 2025
Abstract
Understanding the metabolic characteristics of pineapple varieties is crucial for market expansion and diversity. This study performed comparative metabolomic analysis on the “Comte de Paris” (BL) and three Taiwan-introduced varieties: “Tainong No. 11” (XS), “Tainong No. 23” (MG), and “Tainong No. 13” (DM). [...] Read more.
Understanding the metabolic characteristics of pineapple varieties is crucial for market expansion and diversity. This study performed comparative metabolomic analysis on the “Comte de Paris” (BL) and three Taiwan-introduced varieties: “Tainong No. 11” (XS), “Tainong No. 23” (MG), and “Tainong No. 13” (DM). A total of 551 metabolites were identified across the four varieties, with 231 metabolites exhibiting no significant differences between all varieties. This included major sugars such as sucrose, glucose, and fructose, as well as key acids like citric, malic, and quinic acids, indicating that the in-season maturing fruits of different pineapple varieties can all achieve good sugar–acid accumulation under suitable conditions. The differentially accumulated metabolites (DAMs) that were identified among the four varieties all primarily belonged to several major subclasses, including phenolic acids, flavonoids, amino acids and derivatives, and alkaloids, but the preferentially accumulated metabolites in each variety varied greatly. Specifically, branched-chain amino acids (L-leucine, L-isoleucine, and L-valine) and many DAMs in the flavonoid, phenolic acid, lignan, and coumarin categories were most abundant in MG, which might contribute to its distinct and enriched flavor and nutritional value. XS, meanwhile, exhibited a notable accumulation of aromatic amino acids (L-phenylalanine, L-tryptophan), various phenolic acids, and many lignans and coumarins, which may be related to its unique flavor profile. In DM, the dominant accumulation of jasmonic acid might contribute to its greater adaptability to low temperatures during autumn and winter, allowing off-season fruits to maintain good quality. The main cultivar BL exhibited the highest accumulation of L-ascorbic acid and many relatively abundant flavonoids, making it a good choice for antioxidant benefits. These findings offer valuable insights for promoting different varieties and advancing metabolome-based pineapple improvement programs. Full article
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17 pages, 1724 KiB  
Article
Effects of Eriobotrya japonica (Thunb.) Lindl. Leaf Extract on Zebrafish Embryogenesis, Behavior, and Biochemical Pathways
by Jorge Barros, Irene Gouvinhas, Carlos Venâncio, Daniel Granato, Ana Novo Barros and Luís Félix
Molecules 2025, 30(15), 3252; https://doi.org/10.3390/molecules30153252 (registering DOI) - 3 Aug 2025
Abstract
Eriobotrya japonica (Thunb.) Lindl. leaves are rich in polyphenolic compounds, yet their toxicological effects in aquatic models remain poorly understood. This study evaluated the impact of a hydroethanolic E. japonica leaf extract on zebrafish embryos through the use of morphological, behavioral, and biochemical [...] Read more.
Eriobotrya japonica (Thunb.) Lindl. leaves are rich in polyphenolic compounds, yet their toxicological effects in aquatic models remain poorly understood. This study evaluated the impact of a hydroethanolic E. japonica leaf extract on zebrafish embryos through the use of morphological, behavioral, and biochemical parameters. The 96 h LC50 was determined as 189.8 ± 4.5 mg/L, classifying the extract as practically non-toxic, according to OECD guidelines. Thereby, embryos were exposed for 90 h to 75 and 150 mg/L concentrations of the E. japonica leaf extract. While no significant effects were noted at the lowest concentration of 150 mg/L, significant developmental effects were observed, including reduced survival, delayed hatching, underdevelopment of the swim bladder, and retention of the yolk sac. These malformations were accompanied by marked behavioral impairments. Biochemical analysis revealed a concentration-dependent increase in superoxide dismutase (SOD) and catalase (CAT) activity, suggesting the activation of antioxidant defenses, despite no significant change in reactive oxygen species (ROS) levels. This indicates a potential compensatory redox response to a pro-oxidant signal. Additionally, the acetylcholinesterase (AChE) activity was significantly reduced at the highest concentration, which may have contributed to the observed neurobehavioral changes. While AChE inhibition is commonly associated with neurotoxicity, it is also a known therapeutic target in neurodegenerative diseases, suggesting concentration-dependent dual effects. In summary, the E. japonica leaf extract induced concentration-dependent developmental and behavioral effects in zebrafish embryos, while activating antioxidant responses without triggering oxidative damage. These findings highlight the extract’s potential bioactivity and underscore the need for further studies to explore its safety and therapeutic relevance. Full article
(This article belongs to the Special Issue Biological Activities of Traditional Medicinal Plants, 2nd Edition)
22 pages, 3473 KiB  
Article
A Few-Shot SE-Relation Net-Based Electronic Nose for Discriminating COPD
by Zhuoheng Xie, Yao Tian and Pengfei Jia
Sensors 2025, 25(15), 4780; https://doi.org/10.3390/s25154780 (registering DOI) - 3 Aug 2025
Abstract
We propose an advanced electronic nose based on SE-RelationNet for COPD diagnosis with limited breath samples. The model integrates residual blocks, BiGRU layers, and squeeze–excitation attention mechanisms to enhance feature-extraction efficiency. Experimental results demonstrate exceptional performance with minimal samples: in 4-way 1-shot tasks, [...] Read more.
We propose an advanced electronic nose based on SE-RelationNet for COPD diagnosis with limited breath samples. The model integrates residual blocks, BiGRU layers, and squeeze–excitation attention mechanisms to enhance feature-extraction efficiency. Experimental results demonstrate exceptional performance with minimal samples: in 4-way 1-shot tasks, the model achieves 85.8% mean accuracy (F1-score = 0.852), scaling to 93.3% accuracy (F1-score = 0.931) with four samples per class. Ablation studies confirm that the 5-layer residual structure and single-hidden-layer BiGRU optimize stability (h_F1-score ≤ 0.011). Compared to SiameseNet and ProtoNet, SE-RelationNet shows superior accuracy (>15% improvement in 1-shot tasks). This technology enables COPD detection with as few as one breath sample, facilitating early intervention to mitigate lung cancer risks in COPD patients. Full article
(This article belongs to the Special Issue Nature Inspired Engineering: Biomimetic Sensors (2nd Edition))
19 pages, 4765 KiB  
Article
Dehydration-Driven Changes in Solid Polymer Electrolytes: Implications for Titanium Anodizing Efficiency
by Andrea Valencia-Cadena, Maria Belén García-Blanco, Pablo Santamaría and Joan Josep Roa
Materials 2025, 18(15), 3645; https://doi.org/10.3390/ma18153645 (registering DOI) - 3 Aug 2025
Abstract
This study investigates the thermal stability and microstructural evolution of the solid electrolyte medium used in DLyte® dry electropolishing and dry anodizing processes. Samples were thermally aged between 30 °C and 45 °C to simulate Joule heating during industrial operation. Visual and [...] Read more.
This study investigates the thermal stability and microstructural evolution of the solid electrolyte medium used in DLyte® dry electropolishing and dry anodizing processes. Samples were thermally aged between 30 °C and 45 °C to simulate Joule heating during industrial operation. Visual and SEM analyses revealed shape deformation and microcrack formation at temperatures above 40 °C, potentially reducing particle packing efficiency and electrolyte performance. Particle size distribution shifted from bimodal to trimodal upon aging, with an overall size reduction of up to 39.5% due to dehydration effects, impacting ionic transport properties. Weight-loss measurements indicated a diffusion-limited dehydration mechanism, stabilizing at 15–16% mass loss. Fourier transform infrared analysis confirmed water removal while maintaining the essential sulfonic acid groups responsible for ionic conductivity. In dry anodizing tests on titanium, aged electrolytes enhanced process efficiency, producing TiO2 films with improved optical properties—color and brightness—while preserving thickness and uniformity (~70 nm). The results highlight the need to carefully control thermal exposure to maintain electrolyte integrity and ensure consistent process performance. Full article
(This article belongs to the Special Issue Novel Materials and Techniques for Dental Implants)
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23 pages, 2059 KiB  
Systematic Review
Comparative Effectiveness of Nutritional Supplements in the Treatment of Knee Osteoarthritis: A Network Meta-Analysis
by Yuntong Zhang, Yunfei Gui, Roger Adams, Joshua Farragher, Catherine Itsiopoulos, Keegan Bow, Ming Cai and Jia Han
Nutrients 2025, 17(15), 2547; https://doi.org/10.3390/nu17152547 (registering DOI) - 3 Aug 2025
Abstract
Background: Knee osteoarthritis (KOA) is a prevalent degenerative joint disease that can greatly affect quality of life in middle-aged and elderly individuals. Nutritional supplements are increasingly used for KOA due to their low risk, but direct comparative evidence on their efficacy and [...] Read more.
Background: Knee osteoarthritis (KOA) is a prevalent degenerative joint disease that can greatly affect quality of life in middle-aged and elderly individuals. Nutritional supplements are increasingly used for KOA due to their low risk, but direct comparative evidence on their efficacy and safety remains scarce. This study aimed to systematically compare the effectiveness and safety of seven common nutritional supplements for KOA. Methods: A systematic review and network meta-analysis were conducted following PRISMA guidelines. Embase, PubMed, and the Cochrane Library were searched through December 2024 for randomized controlled trials (RCTs) evaluating use of eggshell membrane, vitamin D, Boswellia, curcumin, ginger, krill oil, or collagen, versus placebo, in adults with KOA. Primary outcomes included changes in scores for WOMAC pain, stiffness and function, and pain visual analog scale (VAS). Adverse events were also assessed. Bayesian network meta-analyses estimated ranking probabilities for each intervention. Results: In total, 39 RCTs (42 studies; 4599 patients) were included. Compared with placebo, Boswellia showed significant improvements in WOMAC pain (mean difference [MD] = 10.58, 95% CI: 6.45 to 14.78, p < 0.05), stiffness (MD = 9.47, 95% CI: 6.39 254 to 12.74, p < 0.05), function (MD = 14.00, 95% CI: 7.74 to 20.21, p < 0.05), and VAS pain (MD = 17.26, 95% CI: 8.06 to 26.52, p < 0.05). Curcumin, collagen, ginger, and krill oil also demonstrated benefits in some outcomes. No supplement was associated with increased adverse events compared to placebo. Bayesian rankings indicated Boswellia had the highest probability of being most effective for pain and stiffness, with krill oil and curcumin showing potential for function improvement. Conclusions: Nutritional supplements, particularly Boswellia, appear to be effective and well-tolerated for improving KOA symptoms and function. These results suggest that certain supplements may be useful as part of non-pharmacological KOA management. However, further large-scale, well-designed randomized controlled trials (RCTs) are needed to confirm these findings, particularly those that include more standardized dosages and formulations, as well as to evaluate their long-term efficacy. Full article
(This article belongs to the Section Nutrition Methodology & Assessment)
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16 pages, 1618 KiB  
Article
Multimodal Temporal Knowledge Graph Embedding Method Based on Mixture of Experts for Recommendation
by Bingchen Liu, Guangyuan Dong, Zihao Li, Yuanyuan Fang, Jingchen Li, Wenqi Sun, Bohan Zhang, Changzhi Li and Xin Li
Mathematics 2025, 13(15), 2496; https://doi.org/10.3390/math13152496 (registering DOI) - 3 Aug 2025
Abstract
Knowledge-graph-based recommendation aims to provide personalized recommendation services to users based on their historical interaction information, which is of great significance for shopping transaction rates and other aspects. With the rapid growth of online shopping, the knowledge graph constructed from users’ historical interaction [...] Read more.
Knowledge-graph-based recommendation aims to provide personalized recommendation services to users based on their historical interaction information, which is of great significance for shopping transaction rates and other aspects. With the rapid growth of online shopping, the knowledge graph constructed from users’ historical interaction data now incorporates multiattribute information, including timestamps, images, and textual content. The information of multiple modalities is difficult to effectively utilize due to their different representation structures and spaces. The existing methods attempt to utilize the above information through simple embedding representation and aggregation, but ignore targeted representation learning for information with different attributes and learning effective weights for aggregation. In addition, existing methods are not sufficient for effectively modeling temporal information. In this article, we propose MTR, a knowledge graph recommendation framework based on mixture of experts network. To achieve this goal, we use a mixture-of-experts network to learn targeted representations and weights of different product attributes for effective modeling and utilization. In addition, we effectively model the temporal information during the user shopping process. A thorough experimental study on popular benchmarks validates that MTR can achieve competitive results. Full article
(This article belongs to the Special Issue Data-Driven Decentralized Learning for Future Communication Networks)
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20 pages, 4784 KiB  
Article
Resilient by Design: Environmental Stress Promotes Biofilm Formation and Multi-Resistance in Poultry-Associated Salmonella
by Gabriel I. Krüger, Francisca Urbina, Coral Pardo-Esté, Valentina Salinas, Javiera Álvarez, Nicolás Avilés, Ana Oviedo, Catalina Kusch, Valentina Pavez, Rolando Vernal, Mario Tello, Luis Alvarez-Thon, Juan Castro-Severyn, Francisco Remonsellez, Alejandro Hidalgo and Claudia P. Saavedra
Microorganisms 2025, 13(8), 1812; https://doi.org/10.3390/microorganisms13081812 (registering DOI) - 3 Aug 2025
Abstract
Salmonella is one of the main causes of food-borne illness worldwide. In most cases, Salmonella contamination can be traced back to food processing plants and/or to cross-contamination during food preparation. To avoid food-borne diseases, food processing plants use sanitizers and biocidal to reduce [...] Read more.
Salmonella is one of the main causes of food-borne illness worldwide. In most cases, Salmonella contamination can be traced back to food processing plants and/or to cross-contamination during food preparation. To avoid food-borne diseases, food processing plants use sanitizers and biocidal to reduce bacterial contaminants below acceptable levels. Despite these preventive actions, Salmonella can survive and consequently affect human health. This study investigates the adaptive capacity of the main Salmonella enterica serotypes isolated from the poultry production line, focusing on their replication, antimicrobial resistance, and biofilm formation under stressors such as acidic conditions, oxidative environment, and high osmolarity. Using growth curve analysis, crystal violet staining, and microscopy, we assessed replication, biofilm formation, and antimicrobial resistance under acidic, oxidative, and osmotic stress conditions. Disinfectant tolerance was evaluated by determining the Minimum Inhibitory Concentration (MIC) and Minimum Bactericidal Concentration (MBC) of sodium hypochlorite. The antibiotic resistance was assessed using the Kirby–Bauer method. The results indicate that, in general, acidic and osmotic stress reduce the growth of Salmonella. However, no significant differences were observed specifically for serotypes Infantis, Heidelberg, and Corvallis. The S. Infantis isolates were the strongest biofilm producers and showed the highest prevalence of multidrug resistance (71%). Interestingly, S. Infantis forming biofilms required up to 8-fold higher concentrations of sodium hypochlorite for eradication. Furthermore, osmotic and oxidative stress significantly induced biofilm production in industrial S. Infantis isolates compared to a reference strain. Understanding how Salmonella responds to industrial stressors is vital for designing strategies to control the proliferation of these highly adapted, multi-resistant pathogens. Full article
(This article belongs to the Section Biofilm)
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