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12 pages, 1276 KB  
Article
Kettlebell Training vs. Plyometric Training: A Comparison of Jump Performance in Volleyball and Basketball Athletes
by Tom Brandt, Lucas Koch, Maximilian Herber, David Ohlendorf and Annette Schmidt
J. Funct. Morphol. Kinesiol. 2025, 10(4), 395; https://doi.org/10.3390/jfmk10040395 (registering DOI) - 12 Oct 2025
Abstract
Objectives: Plyometric training is a well-established method for enhancing jump performance in basketball and volleyball athletes but has certain limitations. Kettlebell training may provide a viable alternative as it mimics key biomechanical aspects of jumping, like explosive hip and knee extension during a [...] Read more.
Objectives: Plyometric training is a well-established method for enhancing jump performance in basketball and volleyball athletes but has certain limitations. Kettlebell training may provide a viable alternative as it mimics key biomechanical aspects of jumping, like explosive hip and knee extension during a ballistic hip–hinge pattern. Because evidence remains limited, this study aimed to compare the effects of both training methods. Methods: Thirty-eight volleyball and basketball club athletes (age: 22 (4.3); male = 29, female = 9) completed this study. Countermovement jump (CMJ), squat jump (SJ), drop jump (DJ), body fat percentage (FM), and muscle mass percentage (MM) were assessed pre- and post-intervention. The participants were assigned to one of three groups: a kettlebell training group (KbG), a plyometric training group (PG), or a control group (CG). Both the KbG and PG completed two supervised 25-min training sessions per week for six weeks, while the CG did not engage in any additional training intervention. The level of significance was set at p ≤ 0.05. Results: There were no significant differences in CMJ, SJ, and DJ performance between the groups before the intervention. Significant differences in change between the groups from pre- to post-test were found for the SJ (p = 0.006), but not for the DJ (p = 0.06), CMJ (p = 0.26), FM (p = 0.9), and MM (p = 0.55). Pairwise comparisons revealed significantly greater positive change in the KbG than in the CG for the SJ (p = 0.003) and DJ (p = 0.03). Within-group analyses showed significant improvements in the KbG for the CMJ (p = 0.04), SJ (p < 0.001), and DJ (p = 0.003) performance, whereas FM and MM did not change. Within the PG and CG, no significant change occurred. Conclusions: Kettlebell training effectively improved jump performance and may therefore serve as a valuable component within strength and conditioning programs for basketball and volleyball athletes. Full article
17 pages, 2000 KB  
Article
The Efficient PAE Degradation by Glutamicibacter sp. FR1 and Its Molecular Mechanism
by Peng Peng, Shuanghu Fan, Meiting Xu, Liyuan Liu, Xiaolin Zhang, Zihan Feng, Haina Du, Zimeng Wang, Qiao Qin, Weiming Feng, Hongyan Liu and Jingjing Guo
Processes 2025, 13(10), 3245; https://doi.org/10.3390/pr13103245 (registering DOI) - 12 Oct 2025
Abstract
Phthalic acid esters (PAEs) are important plasticizers that have led to the heavy pollution of farmland, which has aroused significant and widespread concern for soil health and food safety. Microbial degradation has been recognized as an efficient pathway for removing PAEs from the [...] Read more.
Phthalic acid esters (PAEs) are important plasticizers that have led to the heavy pollution of farmland, which has aroused significant and widespread concern for soil health and food safety. Microbial degradation has been recognized as an efficient pathway for removing PAEs from the environment. In this study, the PAE-degrading strain FR1 was isolated from sewage and determined to belong to Glutamicibacter. This strain degraded PAEs efficiently under a wide range of conditions—10–50 °C, pH of 6.0–11.0, and 0–8% salinity—demonstrating its great potential in PAE bioremediation. Genome sequencing provided complete genomic information, showing that the strain comprises one chromosome (3,404,214 bp) and three plasmids (112,089 bp, 80,486 bp, and 40,002 bp). The chromosome harbors 3238 protein genes, of which the PAE hydrolase genes dphGB1 and mphGB2 have been cloned. The hydrolase DphGB1 from hydrolase family I contained the catalytic triad Ser75-Asp194-His221. After heterogeneous expression and purification, the recombinant protein DphGB1, of about 30 kDa, was obtained. This hydrolase showed strong hydrolytic ability toward DEHP. The protein MphGB2 could also hydrolyze MBP. The molecular docking revealed interaction between DphGB1 and DBP. The main hydrolases of strain FR1-degrading PAEs were functionally identified. These results will promote the elucidation of the catalytic mechanisms of PAE hydrolases and the application of strain FR1 in farmland soil remediation. Full article
(This article belongs to the Section Environmental and Green Processes)
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6 pages, 519 KB  
Editorial
New Information Communication Technologies in the Digital Era
by Martin Wynn
Information 2025, 16(10), 886; https://doi.org/10.3390/info16100886 (registering DOI) - 12 Oct 2025
Abstract
This Special Issue comprises papers on various digital technologies, researched and assessed in diverse contexts [...] Full article
(This article belongs to the Special Issue New Information Communication Technologies in the Digital Era)
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21 pages, 5231 KB  
Article
Influence of Soil Temperature on Potential Evaporation over Saturated Surfaces—In Situ Lysimeter Study
by Wanxin Li, Zhi Li, Jinyue Cheng, Yi Wang, Fan Wang, Jiawei Wang and Wenke Wang
Agronomy 2025, 15(10), 2381; https://doi.org/10.3390/agronomy15102381 (registering DOI) - 12 Oct 2025
Abstract
Potential evaporation (PE) from saturated bare surfaces is the basis for estimating actual evaporation (Es) in agricultural and related disciplines. Most models estimate PE using meteorological data. Thus, the dependence of soil temperature (T) on PE is often simplified [...] Read more.
Potential evaporation (PE) from saturated bare surfaces is the basis for estimating actual evaporation (Es) in agricultural and related disciplines. Most models estimate PE using meteorological data. Thus, the dependence of soil temperature (T) on PE is often simplified in applications. To address this gap, we conducted an in situ lysimeter experiment in the Guanzhong Basin, China, continuously measuring PE, T, and soil heat flux (G) at high temporal resolution over three fully saturated sandy soils. Results show that annual PE over fine sand was 7.1% and 11.0% higher than that of coarse sand and gravel. The observed PE differences across textures can be quantitatively explained using the surface energy balance equation and a radiatively coupled Penman-Monteith equation, accounting for the dependence of T on net radiation (Rn) and G. In contrast, PE estimates diverged from observations when Rn and G were assumed to be independent of T. We further evaluated the influence of T and other influencing variables on PE. The random forest model identified that near-surface heat storage variations (∆S) contribute most significantly to PE estimation (relative importance = 0.37), followed by surface temperature (0.24) and sensible heat flux (0.23). These findings highlight the critical role of near-surface temperature in PE estimation. Full article
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20 pages, 2431 KB  
Review
Advancing Clinical and Pathophysiological Insights into Pancreatitis Using Lipidomics and Metabolomics
by Faizan Ahmed, Xueheng Zhao, Kenneth D. R. Setchell and Maisam Abu-El-Haija
Metabolites 2025, 15(10), 666; https://doi.org/10.3390/metabo15100666 (registering DOI) - 12 Oct 2025
Abstract
Acute pancreatitis (AP) and chronic pancreatitis (CP) are distinct inflammatory conditions with significant clinical burden, including associated complications and mortality. These pancreatic conditions share overlapping pathophysiologic features. Although AP can be followed by recurrent episodes (recurrent acute pancreatitis, RAP), most CP does not [...] Read more.
Acute pancreatitis (AP) and chronic pancreatitis (CP) are distinct inflammatory conditions with significant clinical burden, including associated complications and mortality. These pancreatic conditions share overlapping pathophysiologic features. Although AP can be followed by recurrent episodes (recurrent acute pancreatitis, RAP), most CP does not follow a simple linear progression from AP; rather, CP reflects sustained processes causing injury to the pancreas (e.g., toxic-metabolic, genetic, obstructive), leading to fibrosis and organ dysfunction. Lipidomics and metabolomics can provide insights into the pathophysiology of the disease. Although researchers have extensively explored lipids and metabolites to better understand disease mechanisms, comprehensive detailed insights into the pathways and intricate roles these molecules play in pancreatitis remain unidentified. This gap can be partially attributed to limited availability of human samples from disease subgroups in pancreatitis, and current technological constraints in analytical methods, particularly regarding complete lipid and metabolite detection, identification, and quantification. In this review, we summarize lipidomic and metabolomic workflows in the context of understanding pancreatitis pathophysiology, including their design and analytical strategies. We also highlight clinical studies on pancreatitis, utilizing lipidomics and metabolomics as a tool to identify altered or dysregulated lipids or metabolites, and their association with the disease state and its progression. Full article
(This article belongs to the Special Issue Lipidomic Signatures in Pediatric Metabolic Disorders)
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20 pages, 587 KB  
Article
Continuity and Quality in Pre-Service Teacher Preparation Across Modalities: Core Principles in a Crisis Leadership Framework
by Shlomit Hadad, Ina Blau, Orit Avidov-Ungar, Tamar Shamir-Inbal and Alisa Amir
Educ. Sci. 2025, 15(10), 1355; https://doi.org/10.3390/educsci15101355 (registering DOI) - 12 Oct 2025
Abstract
Teacher preparation programmes must now ensure instructional continuity and quality across face-to-face, online, and hybrid modes, even amid health, climate, or security crises. This mixed-methods study examined which principles policymakers and teacher education directors deem essential for such resilience, and how those principles [...] Read more.
Teacher preparation programmes must now ensure instructional continuity and quality across face-to-face, online, and hybrid modes, even amid health, climate, or security crises. This mixed-methods study examined which principles policymakers and teacher education directors deem essential for such resilience, and how those principles align with prior research and leadership theory. Semi-structured elite interviews (N = 25) were analyzed inductively to surface field-driven themes and deductively through two models: the ten evidence-based training principles synthesized by Hadad et al. and the six capacities of Striepe and Cunningham’s Crises Leadership Framework (CLF). Results show strong consensus on theory–practice integration, university–school partnerships, and collaborative learning, mapping chiefly to the CLF capacities of adaptive roles and stakeholder collaboration. Directors added practice-oriented priorities—authentic field immersion, formative feedback, and inclusive pedagogy—extending the crisis care and contextual influence dimensions. By contrast, policymakers uniquely stressed policy–academic co-decision-making, reinforcing complex decision-making at the system level. Reflective thinking skills and digital pedagogy, though prominent in the literature, were under-represented, signalling implementation gaps. Overall, the integrated model offers a crisis-ready blueprint for curriculum design, partnership governance, and digital capacity-building that can sustain continuity and quality in pre-service teacher education. Full article
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23 pages, 6787 KB  
Article
Pulmonary Embolism After Acute Ischaemic Stroke (PEARL-AIS): Global Prevalence, Risk Factors, Outcomes, and Evidence Grading from a Meta-Analysis
by Darryl Chen, Yuxiang Yang and Sonu M. M. Bhaskar
Neurol. Int. 2025, 17(10), 168; https://doi.org/10.3390/neurolint17100168 (registering DOI) - 12 Oct 2025
Abstract
Objectives: Pulmonary embolism (PE) is an uncommon but potentially fatal complication of acute ischaemic stroke (AIS). Its global burden and prevention remain incompletely defined. We performed a systematic review and meta-analysis (PEARL-AIS) to estimate prevalence, risk factors, outcomes, and prophylactic efficacy, with GRADE [...] Read more.
Objectives: Pulmonary embolism (PE) is an uncommon but potentially fatal complication of acute ischaemic stroke (AIS). Its global burden and prevention remain incompletely defined. We performed a systematic review and meta-analysis (PEARL-AIS) to estimate prevalence, risk factors, outcomes, and prophylactic efficacy, with GRADE evidence appraisal. Methods: Following PRISMA 2020 and MOOSE guidelines, five databases (PubMed, Embase, Cochrane, Scopus, Web of Science) were searched (1995–2024). The protocol was prospectively registered (OSF s25ny). Random-effects models (DerSimonian–Laird; REML sensitivity) were used to pool prevalence and odds ratios; heterogeneity was evaluated with I2, Cochran’s Q, and τ2. Influence (leave-one-out) and subgroup analyses for prevalence and mortality of PE in AIS were explored. Bias was assessed using the Modified Jadad Scale; overall certainty was graded with the GRADE framework. Results: Twenty-four studies met the inclusion criteria (n = 25,666,067), of which seventeen studies (n = 23,637,708) contributed to pooled prevalence analyses. The pooled prevalence of PE after AIS was 0.40% (95% CI 0.33–0.49), approximately six-fold higher than in the general population, with considerable heterogeneity (I2 > 90%, Cochrane classification). The pooled mortality among AIS patients with PE was 12.9% (95% CI 1.6–31.7). Mortality risk was significantly higher in AIS patients with PE (OR 4.96, 95% CI 2.98–8.24). Atrial fibrillation (29%), cancer (19%), and smoking (23%) were common; hypertension (54%) and diabetes (23%) were prevalent but not predictive, with diabetes showing a paradoxical protective association (OR 0.88, 95% CI 0.84–0.92). Pharmacological prophylaxis was associated with a reduced risk of PE (OR 0.64, 95% CI 0.46–0.90; I2 = 0%), supported by moderate-certainty evidence. Conclusions: PE is an uncommon but often fatal complication of AIS. Traditional venous thromboembolism predictors underperform in this context, suggesting a stroke-specific thromboinflammatory mechanism linking the brain and lung axis. Despite considerable heterogeneity and low-to-moderate certainty of evidence, pharmacological prophylaxis demonstrates a consistent protective effect. Systematic PE surveillance and tailored prophylactic strategies should be integral to contemporary stroke care, while future studies should refine risk stratification and elucidate the mechanistic underpinnings of this brain–lung thromboinflammatory continuum. Full article
(This article belongs to the Special Issue Innovations in Acute Stroke Treatment, Neuroprotection, and Recovery)
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21 pages, 1172 KB  
Article
Enhancing Athlete Resilience: Preliminary Validation of the Sports Mind Inventory and the Impact of Yoga of Immortals on Sports-Related Stress
by Ishan Shivanand, Naakesh Dewan, Himanshu Kathuria and Sadhna Verma
Behav. Sci. 2025, 15(10), 1385; https://doi.org/10.3390/bs15101385 (registering DOI) - 12 Oct 2025
Abstract
The mental and emotional health of an athlete is crucial for their performance and well-being. Sports-related stress can significantly impair their mental health. Further, there were minimal tools available to measure Sports resilience, specifically during COVID-19 restrictions or earlier. This study reports the [...] Read more.
The mental and emotional health of an athlete is crucial for their performance and well-being. Sports-related stress can significantly impair their mental health. Further, there were minimal tools available to measure Sports resilience, specifically during COVID-19 restrictions or earlier. This study reports the preliminary validation of the Sports Mind Inventory (SMI) in athletes from different geographical areas (n = 66), with the majority of participants from Mauritius, and tests the SMI in elite athletes practicing the Yoga of Immortals (YOI). YOI is a unique combination of specific yogic postures, breathing exercises, sound therapy & meditation, which has demonstrated benefit in improving measures of mental health. The exploratory factor analysis of the 24-item SMI resulted in a six-factor inventory. The confirmatory factor analysis of these six-factor SMI showed goodness-of-fit index (0.935), and Cronbach’s alpha coefficient (α) of 0.949, showing good fit and reliability. The correlation between overall scale and individual factors showed diverse degree of positive correlations. This validated SMI was then tested to investigate whether YOI can enhance athletes’ resilience to sports-related stress. Participants were a diverse set of athletes based in Mauritius who routinely engage in a wide range of athletic activities. Participants were randomly assigned to receive four weeks of YOI or no intervention. Both groups completed the SMI questionnaire at baseline and again after four weeks. The YOI intervention significantly increased (p = 0.002) the total mean SMI scores, and underlying factors, i.e., Factor 1: Positive and Competitive sports mindset (p = 0.014), Factor 2: Social relatedness and adaptability (p = 0.008), Factor 3: Resilient mindset and self-confidence (p = 0.036), Factor 4: Sports Resilience and Emotional Responses (p = 0.001). This indicated improved sports resilience and psychological health. No improvement was observed in the control group. The correlation analysis in YOI group at week-4 showed positive correlation between overall scales and underlying construct. In conclusion, SMI showed acceptable fitness to measure sport resilience. This YOI intervention helped in improving sports-related stress and improved athletes’ resilience. Full article
(This article belongs to the Special Issue Bridging Behavioral Sciences and Sports Sciences Second Edition)
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10 pages, 1194 KB  
Article
Lipedema and Hypermobility Spectrum Disorders Sharing Pathophysiology: A Cross-Sectional Observational Study
by Elettra Fiengo and Andrea Sbarbati
J. Clin. Med. 2025, 14(20), 7195; https://doi.org/10.3390/jcm14207195 (registering DOI) - 12 Oct 2025
Abstract
Background/Objectives: Lipedema is a chronic, progressive disorder of the adipo-fascial tissue characterized by abnormal subcutaneous fat accumulation, inflammation, fibrosis, pain, and edema. Despite its considerable impact on patients’ quality of life, it remains underdiagnosed. Recent studies have suggested a potential overlap between lipedema [...] Read more.
Background/Objectives: Lipedema is a chronic, progressive disorder of the adipo-fascial tissue characterized by abnormal subcutaneous fat accumulation, inflammation, fibrosis, pain, and edema. Despite its considerable impact on patients’ quality of life, it remains underdiagnosed. Recent studies have suggested a potential overlap between lipedema and hypermobility spectrum disorders (HSDs), both involving connective tissue dysfunction. This work explores the shared pathophysiological features of lipedema and HSD, highlighting clinical correlations, comorbidities, and the need for integrated diagnostic and therapeutic approaches. Methods: A cross-sectional observational study was conducted through an online survey targeting individuals with lipedema and a control group with lymphedema. The questionnaire assessed symptoms typically associated with HSD, including musculoskeletal, gastrointestinal, urogynecological, vascular, and neuropsychological manifestations. Descriptive statistics were used to evaluate clinical patterns in both groups. Results: Among the lipedema patients, 44% reported joint hypermobility and 60% recalled being hypermobile during childhood. High rates of pediatric overweight (50%), low muscle tone (55%), and exercise-induced fatigue (70%) were observed. Adult symptoms included joint pain (notably in the ankles, knees, cervical spine, sacrum, and feet), digestive issues (50%), and thyroid disorders (24.4%). Compared with the control group, patients with lipedema showed significantly more connective tissue-related motor deficits and systemic symptoms. Conclusions: Connective tissue laxity may play a critical role in the pathogenesis of lipedema, contributing to multisystemic manifestations through vascular, lymphatic, gastrointestinal, and musculoskeletal involvement. The high prevalence of HSD-like features calls for a paradigm shift in the understanding of lipedema as a systemic disorder. Early identification of connective tissue alterations, especially in children with familial predisposition, could enable timely interventions, potentially mitigating disease progression. A multidisciplinary, evidence-based approach is essential for accurate diagnosis and effective management. Full article
(This article belongs to the Section Clinical Rehabilitation)
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32 pages, 8244 KB  
Article
Towards Well-Being in Old Residential Areas: How Health-Promoting Environments Influence Resident Sentiment Within the 15-Minute Living Circle
by Jiaying Zhao, Yang Chen, Jiaping Liu and Pierluigi Salvadeo
Land 2025, 14(10), 2035; https://doi.org/10.3390/land14102035 (registering DOI) - 12 Oct 2025
Abstract
Building healthy communities is crucial for creating healthy cities and improving residents’ well-being. Old residential areas, with their substantial stock and elevated health risks, require urgent environmental upgrades. However, the relationship between community health promotion factors and resident sentiment, a crucial indicator of [...] Read more.
Building healthy communities is crucial for creating healthy cities and improving residents’ well-being. Old residential areas, with their substantial stock and elevated health risks, require urgent environmental upgrades. However, the relationship between community health promotion factors and resident sentiment, a crucial indicator of subjective well-being, in old residential areas remains poorly understood. By integrating big data-based community health promotion factors and Weibo data within the 15-min living circle of old residential areas in Xi’an, we developed an XGBoost model and employed SHAP analyses to interpret predictive outcomes. Results show that healthy facilities were dominant influencing factors in old residential areas. Densities of parking, supermarkets, education, package stations, and scenic spots exhibit nonlinear relationships with positive sentiment, indicating clear threshold effects and saturation effects. Two dominant patterns were observed in interactions between dominant factors and their strongest interacting factors. Four environment–sentiment patterns were identified for targeted planning interventions. It is recommended that planners and policymakers account for density phases and synergistic combinations of the dominant factors to optimize community health within old residential areas. The findings offer empirical support and planning insights for fostering healthy, sentiment-sensitive retrofit in old residential areas within the 15-min living circle. Full article
(This article belongs to the Section Land Planning and Landscape Architecture)
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14 pages, 1014 KB  
Review
Understanding Peritoneal Fluid Estrogen and Progesterone Concentrations Permits Individualization of Medical Treatment of Endometriosis-Associated Pain with Lower Doses, Especially in Adolescents Not Requiring Contraception
by Philippe R. Koninckx, Anastasia Ussia, Leila Adamyan, Arnaud Wattiez and Paola Vigano
J. Clin. Med. 2025, 14(20), 7196; https://doi.org/10.3390/jcm14207196 (registering DOI) - 12 Oct 2025
Abstract
Objectives: The aim of this study was to review the importance of peritoneal fluid steroid hormone concentrations to understand the mechanism of hormonal medical treatment of endometriosis-associated pain. Design: The study included a PubMed search and a pilot trial in 8 [...] Read more.
Objectives: The aim of this study was to review the importance of peritoneal fluid steroid hormone concentrations to understand the mechanism of hormonal medical treatment of endometriosis-associated pain. Design: The study included a PubMed search and a pilot trial in 8 adolescents. Results: Oral contraceptives (OCs) were designed to inhibit ovulation in all women, and doses are much higher than the mean ovulation-inhibiting dose. Therefore, in most women, half a dose and in some women, even less is sufficient to inhibit ovulation. The inhibition of ovarian function and ovulation decreases estrogen and progesterone concentrations in plasma and peritoneal fluid. Surprisingly, the effect on peritoneal fluid steroid hormone concentrations has not been considered to explain the impact on endometriosis-associated pain. The lowering of the high estrogen concentrations in peritoneal fluid is sufficient to explain the pain decrease in superficial and ovarian endometriosis. A direct progesterone effect is unlikely, given the high progesterone concentrations in the peritoneal fluid of ovulatory women. In 8 adolescents, half an OC dose resulted in an apparently similar pain relief as a full dose (personal observation). Conclusions: The decrease in ovarian and superficial pelvic endometriosis-associated pain with OCs can be explained by lowering the intra-ovarian and the high estrogen concentrations in peritoneal fluid after ovulation. A direct progesterone effect is unlikely. Since OCs are severely overdosed in most women, half a dose is sufficient in most with fewer side effects, permitting individualization of therapy in women not requiring contraception. Understanding peritoneal fluid also explains that hormone replacement therapy is not contraindicated in most women with a history of endometriosis. Since the mechanisms of medical therapy of endometriosis-associated pain and the prevention of progression might be different, the growth of lesions must be monitored during treatment. Full article
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16 pages, 2574 KB  
Article
Addressing a Special Case of Zero-Crossing Range Adjustment Detection in a Passive Autoranging Circuit for the FBG/PZT Photonic Current Transducer
by Burhan Mir, Grzegorz Fusiek and Pawel Niewczas
Sensors 2025, 25(20), 6311; https://doi.org/10.3390/s25206311 (registering DOI) - 12 Oct 2025
Abstract
This paper analyses a special case in evaluating the passive autoranging (AR) technique that dynamically extends the measurement range of a fiber Bragg grating/piezoelectric transducer (FBG/PZT) operating with a current transformer (CT) to realize a dual-purpose metering and protection photonic current transducer (PCT). [...] Read more.
This paper analyses a special case in evaluating the passive autoranging (AR) technique that dynamically extends the measurement range of a fiber Bragg grating/piezoelectric transducer (FBG/PZT) operating with a current transformer (CT) to realize a dual-purpose metering and protection photonic current transducer (PCT). The technique relies on shorting serially connected burden resistors operating with the CT, using MOSFET switches that react to a changing input current to extend measurement range. The rapid changes in the voltage at the FBG/PZT transducer that are associated with the MOSFET switching are then used on the FBG interrogator side to select the correct measurement range. However, when the MOSFET switching in the AR circuit occurs near the zero-crossing of the input current, the rapid changes in the voltage presented to the FBG/PZT no longer occur, rendering the correct range setting at the interrogator side problematic. The basic switching detection algorithm based on voltage derivative (dV/dt) thresholds proposed in the previous research is not sufficiently sensitive in these conditions, leading to incorrect range selection. To address this, a new detection algorithm based on temporal slope differencing around the zero-crossing is proposed as an additional detection mechanism for these special cases. Thus, the improved hybrid algorithm additionally computes the derivative dV/dt at the FBG/PZT voltage signal within a focused 6 ms temporal window centered around the zero-crossing point, a 3 ms window before and after each zero-crossing instance. It then compares the difference between these two values to a predefined threshold. If the difference exceeds the threshold, a switching event is identified. This method reliably detects even subtle switching events near zero crossings, enabling the accurate reconstruction of the burden current. The performance of the improved algorithm is validated through simulations and experimental results involving zero-crossing switching scenarios. Results indicate that the proposed algorithm improves MOSFET switching detection and facilitates reliable waveform reconstruction without requiring additional hardware. Full article
(This article belongs to the Special Issue Optical Sensing in Power Systems)
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30 pages, 10475 KB  
Article
CSESpy: A Unified Framework for Data Analysis of the Payloads on Board the CSES Satellite
by Emanuele Papini, Francesco Maria Follega, Roberto Battiston and Mirko Piersanti
Remote Sens. 2025, 17(20), 3417; https://doi.org/10.3390/rs17203417 (registering DOI) - 12 Oct 2025
Abstract
The China Seismo Electromagnetic Satellite (CSES) mission provides in situ measurements of the electromagnetic field, plasma, and charged particles in the topside ionosphere. Each CSES spacecraft carries several different scientific payloads delivering a wealth of information about the ionospheric plasma dynamics and properties, [...] Read more.
The China Seismo Electromagnetic Satellite (CSES) mission provides in situ measurements of the electromagnetic field, plasma, and charged particles in the topside ionosphere. Each CSES spacecraft carries several different scientific payloads delivering a wealth of information about the ionospheric plasma dynamics and properties, as well as measurement about energetic particles precipitating in the ionosphere. In this work, we introduce CSESpy, a Python package designed to provide an interface to CSES data products, with the aim of easing the pathway for scientists to carry out analyses of CSES data. Beyond simply being an interface to the data, CSESpy aims to provide higher-level analysis and visualization tools, as well as methods for combining concurrent measurements from different instruments, so as to allow multipayload studies in a unified framework. Moreover, CSESpy is designed to be highly flexible as such, it can be extended to interface with datasets from other sources and can be embedded in wider software ecosystems. We highlight some applications, also demonstrating that CSESpy is a powerful visualization tool for investigating complex events involving variations across multiple physical observables. Full article
(This article belongs to the Special Issue Remote Sensing in Geomatics (Second Edition))
16 pages, 4546 KB  
Article
Cultivation of Arthrospira platensis in Veterinary Hospital Wastewater Enhances Pigment Production and Reduces Antibiotic Resistance Genes
by Authen Promariya, Sekbunkorn Treenarat, Nattaphong Akrimajirachoote, Wanat Sricharern and Wuttinun Raksajit
Biology 2025, 14(10), 1396; https://doi.org/10.3390/biology14101396 (registering DOI) - 12 Oct 2025
Abstract
Veterinary hospital wastewater (VHW) is a significant environmental concern due to its high nutrient content, organic pollutants, and antibiotic resistance genes (ARGs). This study evaluated the physicochemical properties of VHW, its potential to support Arthrospira platensis cultivation, and its effects on microbial and [...] Read more.
Veterinary hospital wastewater (VHW) is a significant environmental concern due to its high nutrient content, organic pollutants, and antibiotic resistance genes (ARGs). This study evaluated the physicochemical properties of VHW, its potential to support Arthrospira platensis cultivation, and its effects on microbial and resistome profiles. VHW contained high levels of ammonia nitrogen, total Kjeldahl nitrogen, biological oxygen demand (BOD), and chemical oxygen demand (COD), indicating substantial contamination. A. platensis was cultivated for 8 days in Zarrouk medium supplemented with 0–100% VHW. Biomass production peaked in 25% VHW (0.78 ± 0.05 g/L), while growth was strongly suppressed at concentrations ≥75%. Pigment levels in 25% VHW increased significantly compared to the control: 1.3-fold for chlorophyll-a (12.0 μg/mL), 1.5-fold for carotenoids (4.4 μg/mL), 1.7-fold for phycocyanin (120 μg/mL), and 2.3-fold for allophycocyanin (54 μg/mL). Shotgun metagenomic analysis revealed that A. platensis cultivation markedly altered the microbial community and reduced the prevalence of ARGs. In 25% VHW, Proteobacteria dominated the community (97.0%), but their abundance declined to 11.6% when co-cultivated with A. platensis. Likewise, Acinetobacter sp. carrying high levels of the aph gene, along with Methylophaga sp. and Pseudomonas_E sp. harboring oqxB, decreased substantially, suggesting that A. platensis effectively suppressed ARG-rich genera. These findings highlight the dual potential of A. platensis for sustainable pigment-rich biomass production and efficient wastewater treatment. Full article
(This article belongs to the Section Microbiology)
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21 pages, 2552 KB  
Article
Equitable Allocation of Interprovincial Industrial Carbon Footprints in China Based on Economic and Energy Flow Principles
by Jing Zhao, Yongyu Wang, Xiaoying Shi and Muhammad Umer Arshad
Sustainability 2025, 17(20), 9036; https://doi.org/10.3390/su17209036 (registering DOI) - 12 Oct 2025
Abstract
The equitable allocation of carbon emission responsibility is fundamental to advancing China’s industrial decarbonization, achieving its dual-carbon goals, and realizing regional sustainable development. However, prevailing interprovincial carbon accounting frameworks often neglect the coupled dynamics of economic benefits, energy flows, and ecological capacity, leading [...] Read more.
The equitable allocation of carbon emission responsibility is fundamental to advancing China’s industrial decarbonization, achieving its dual-carbon goals, and realizing regional sustainable development. However, prevailing interprovincial carbon accounting frameworks often neglect the coupled dynamics of economic benefits, energy flows, and ecological capacity, leading to systematic misattribution of industrial carbon footprint transfers. Here, we develop an integrated analytical framework combining multi-regional input–output (MRIO) modeling and net primary productivity (NPP) assessment to comprehensively quantify industrial carbon footprints and their transfers across 30 Chinese provinces. By embedding both the benefit principle (aligning responsibility with trade-generated economic gains) and the energy flow principle (accounting for interprovincial energy trade), we construct a dual-adjustment mechanism that rectifies spatial and sectoral imbalances in traditional accounting. Our results reveal pronounced east-to-west industrial carbon footprint transfers, with resource-rich provinces (e.g., Inner Mongolia, Xinjiang) disproportionately burdened by external consumption, impacting the balance of sustainable development in these regions. Implementing benefit and energy flow adjustments redistributes responsibility more fairly: high-benefit, energy-importing provinces (e.g., Shanghai, Jiangsu, Beijing) assume greater carbon obligations, while energy-exporting, resource-dependent regions see reduced responsibilities. This approach narrows the gap between production- and consumption-based accounting, offering a scientifically robust, policy-relevant pathway to balance regional development and environmental accountability. The proposed framework provides actionable insights for designing carbon compensation mechanisms and formulating equitable decarbonization policies in China and other economies facing similar regional disparities. Full article
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17 pages, 7770 KB  
Article
Long-Term Runoff Prediction Using Large-Scale Climatic Indices and Machine Learning Model in Wudongde and Three Gorges Reservoirs
by Feng Ma, Xiaoshan Sun and Zihang Han
Water 2025, 17(20), 2942; https://doi.org/10.3390/w17202942 (registering DOI) - 12 Oct 2025
Abstract
Reliable long-term runoff prediction for Wudongde and Three Gorges reservoirs, two major reservoirs in the upper Yangtze River basin, is crucial for optimal operation of cascade reservoirs and hydropower generation planning. This study develops a data-driven model that integrates large-scale climate factors with [...] Read more.
Reliable long-term runoff prediction for Wudongde and Three Gorges reservoirs, two major reservoirs in the upper Yangtze River basin, is crucial for optimal operation of cascade reservoirs and hydropower generation planning. This study develops a data-driven model that integrates large-scale climate factors with a Gated Recurrent Unit (GRU) neural network to enhance runoff forecasting at lead times of 7–18 months. Key climate predictors were systematically selected using correlation analysis and stepwise regression before being fed into the GRU model. Evaluation results demonstrate that the proposed model can skillfully predict the variability and magnitude of reservoir inflow. For Wudongde Reservoir, the model achieved a mean correlation coefficient (CC) of 0.71 and Kling–Gupta Efficiency (KGE) of 0.57 during the training period, and values of 0.69 and 0.53 respectively during the testing period. For Three Gorges Reservoir, the CC was 0.67 (training) and 0.66 (testing), and the KGE was 0.52 and 0.49 respectively. The model exhibited robust forecasting capabilities across a range of lead times but showed distinct seasonal variations, with superior performance in summer and winter compared to transitional months (April and October). This framework provides a valuable tool for long-term runoff forecasting by effectively linking large-scale climate signals to local hydrological responses. Full article
(This article belongs to the Section Hydrology)
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20 pages, 2179 KB  
Article
Parallel Multi-Level Simulation for Large-Scale Detailed Intelligent Transportation System Modeling
by Vitaly Stepanyants, Arseniy Karpov, Arthur Margaryan, Aleksandr Amerikanov, Dmitry Telpukhov, Roman Solovyev and Aleksandr Romanov
Future Transp. 2025, 5(4), 141; https://doi.org/10.3390/futuretransp5040141 (registering DOI) - 12 Oct 2025
Abstract
Nowadays, the problems of traffic accidents, inefficiency, and congestion still affect transportation systems. Conventional solutions often do not resolve and can even exacerbate the problems. Intelligent transportation system (ITS) technology, including intelligent vehicles, could provide a solution for these problems. However, such technologies [...] Read more.
Nowadays, the problems of traffic accidents, inefficiency, and congestion still affect transportation systems. Conventional solutions often do not resolve and can even exacerbate the problems. Intelligent transportation system (ITS) technology, including intelligent vehicles, could provide a solution for these problems. However, such technologies should be thoroughly verified and validated before their large-scale adoption. Computer simulation can be used for this task to avoid the expenses of real-world testing. Modern consumer hardware computers are not powerful enough to handle large-scale scenes with high detail. Therefore, a parallel simulation approach employing multiple computers, each processing a separate scene of limited size, is proposed. To define the requirements for a suitable simulation tool, the needs of ITS simulation and Digital Twin technology are discussed, and existing simulation environments suitable for ITS technology verification and validation are evaluated. Further, an architecture for a parallel and multi-level simulation environment for large-scale detailed ITS modeling is proposed. The proposed integrated simulation environment uses the nanoscopic CARLA and microscopic SUMO simulators to implement multi-level and parallel nanoscopic simulation by creating a large scene on the microscopic simulation level and combining the information from multiple parallelly executed nanoscopic scenes. Special handling for nanoscopic scene logic is proposed using a concept of Buffer Zones that allows traffic participants to perceive environmental information beyond the logical boundary of the scene they belong to. The proposed approaches are demonstrated in a series of experiments as a proof of concept and are integrated into the CAVISE simulation environment. Full article
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14 pages, 1520 KB  
Article
Self-Calibration Method for the Four Buckets Phase Demodulation Algorithm in Triangular Wave Hybrid Modulation
by Qi Liu, Shanyong Chen, Tao Lai, Guiqing Li, Jiajun Lin and Junfeng Liu
Appl. Sci. 2025, 15(20), 10956; https://doi.org/10.3390/app152010956 (registering DOI) - 12 Oct 2025
Abstract
The four buckets phase demodulation method is a widely used sinusoidal modulation and demodulation technique in interferometry. Strict calibration is essential to minimize nonlinear errors in subsequent measurements. The core of the algorithm calibration lies in determining the initial phase value of the [...] Read more.
The four buckets phase demodulation method is a widely used sinusoidal modulation and demodulation technique in interferometry. Strict calibration is essential to minimize nonlinear errors in subsequent measurements. The core of the algorithm calibration lies in determining the initial phase value of the modulation signal that matches the modulation depth while overcoming the influence of system phase delay. Currently, there are few systematic calibration methods specifically designed for optical fiber interferometry. This paper proposes a self-calibration method based on triangular wave mixing for four buckets phase demodulation in fiber optic interferometric probes, which efficiently achieves self-calibration of the phase demodulation while the measured object remains stationary. Simulations and experimental validations were conducted, demonstrating that the optimal initial phase value of 0.62 rad during phase demodulation can be accurately identified under static conditions. The calibrated phase value was then applied to the displacement measurement, where the target displacement was effectively detected, resulting in a root mean square (RMS) error of 3.0337 nm and an average error of 2.4479 nm. Full article
5 pages, 250 KB  
Editorial
Oleogels, Bigels, and Emulgels: Fabrication, Application and Research Trends
by Cristina Ghinea and Ana Leahu
Gels 2025, 11(10), 816; https://doi.org/10.3390/gels11100816 (registering DOI) - 12 Oct 2025
Abstract
Gels are created by entrapping liquid oil (oleogels) or water (hydrogels) into the well-organized three-dimensional network of a gelling agent [...] Full article
25 pages, 947 KB  
Systematic Review
Systematic Review of Biomass Supercritical Water Gasification for Energy Production
by Filipe Neves, Armando A. Soares and Abel Rouboa
Energies 2025, 18(20), 5374; https://doi.org/10.3390/en18205374 (registering DOI) - 12 Oct 2025
Abstract
Due to the growing global population, rising energy demands, and the environmental impacts of fossil fuel use, there is an urgent need for sustainable energy sources. Biomass conversion technologies have emerged as a promising solution, particularly supercritical water gasification (SCWG), which enables efficient [...] Read more.
Due to the growing global population, rising energy demands, and the environmental impacts of fossil fuel use, there is an urgent need for sustainable energy sources. Biomass conversion technologies have emerged as a promising solution, particularly supercritical water gasification (SCWG), which enables efficient energy recovery from wet and dry biomass. This systematic review, following PRISMA 2020 guidelines, analyzed 51 peer-reviewed studies published between 2015 and 2025. The number of publications has increased over the decade, reflecting rising interest in SCWG for energy production. Research has focused on six biomass feedstock categories, with lignocellulosic and wet biomasses most widely studied. Reported energy efficiencies ranged from ~20% to >80%, strongly influenced by operating conditions and system integration. Integrating SCWG with solid oxide fuel cells, organic Rankine cycles, carbon capture and storage, or solar input enhanced both energy recovery and environmental performance. While SCWG demonstrates lower greenhouse gas emissions than conventional methods, many studies lacked comprehensive life cycle or economic analyses. Common limitations include high energy demand, modeling simplifications, and scalability challenges. These trends highlight both the potential and the barriers to advancing SCWG as a viable biomass-to-energy technology. Full article
24 pages, 524 KB  
Article
Church-Led Social Capital and Public-Health Approaches to Youth Violence in Urban Zimbabwe: Perspectives from Church Leaders
by James Ndlovu
Soc. Sci. 2025, 14(10), 602; https://doi.org/10.3390/socsci14100602 (registering DOI) - 12 Oct 2025
Abstract
Youth violence in Zimbabwe’s high-density suburbs has evolved into a severe public-health emergency, entrenching trauma, fuelling substance abuse, and amplifying structural inequities. Christian churches remain the most pervasive civic institutions in these settings, commanding high moral authority, psychosocial reach, and convening power. However, [...] Read more.
Youth violence in Zimbabwe’s high-density suburbs has evolved into a severe public-health emergency, entrenching trauma, fuelling substance abuse, and amplifying structural inequities. Christian churches remain the most pervasive civic institutions in these settings, commanding high moral authority, psychosocial reach, and convening power. However, the mechanisms by which churches mitigate violence, and the constraints they face, continue to be under-researched. Grounded in socio-economic model lens and faith-based social capital theory, this study interrogates the intersections between youth violence and church responses in Zimbabwe’s urban centres. The study adopts a qualitative approach using semi-structured interviews with church leaders. Twenty (20) church leaders from mainline, Pentecostal, and Apostolic traditions were recruited through purposive and snowball sampling to capture denominational diversity and varying levels of programme engagement. Interviews probed leaders’ perceptions of youth-violence drivers, theological framings of non-violence, practical interventions (e.g., trauma-healing liturgies, anti-drug ministries, peer-mentorship schemes), and institutional constraints such as resource scarcity and political pressures. Data was analysed using reflexive thematic analysis. The findings indicate three interconnected mechanisms through which churches mitigate the cycle of violence. Nevertheless, gendered participation gaps, theological ambivalence toward activism, and limited alignment with municipal safety strategies continue to pose challenges to these efforts. By positioning churches within Zimbabwe’s broader violence-prevention ecology, the study offers an empirically grounded blueprint for integrating faith actors into city-level public-health strategies and contributes towards evidence-based, structural solutions to urban youth violence. Full article
(This article belongs to the Special Issue Youth Violence and the Urban Response)
27 pages, 570 KB  
Article
Ethical Dilemmas in Performance-Oriented Management: A Dual-Path Systems Model
by Jigan Wang, Qing Jia, Tianfeng Dong, Xiaochan Yang and Haodong Jiang
Systems 2025, 13(10), 900; https://doi.org/10.3390/systems13100900 (registering DOI) - 12 Oct 2025
Abstract
Background: High-performance work systems (HPWSs), while designed to boost corporate performance, can inadvertently create a core organizational paradox, triggering a negative feedback loop. Specifically, their intense focus on performance outcomes can create a climate conducive to unethical pro-organizational behavior (UPB), as employees navigate [...] Read more.
Background: High-performance work systems (HPWSs), while designed to boost corporate performance, can inadvertently create a core organizational paradox, triggering a negative feedback loop. Specifically, their intense focus on performance outcomes can create a climate conducive to unethical pro-organizational behavior (UPB), as employees navigate the pressures and perceived obligations, ultimately undermining the organization’s long-term sustainability and viability. While prior research has identified important singular pathways, the mechanisms through which HPWSs simultaneously generate both perceived obligations and performance pressures remain ambiguous. Methods: Drawing on the Job Demands–Resources (JD-R) model, we propose and test a moderated dual-mediation framework. Using survey data from 473 employees, we examine psychological contract fulfillment and bottom-line mentality as parallel mediators, with moral identity as a moderator, in the HPWS-UPB relationship. Results: The analysis demonstrated that HPWSs influence UPB through two distinct and paradoxical pathways: a pressure-driven path via an increased bottom-line mentality, and a reciprocity-driven path via enhanced psychological contract fulfillment. Moral identity emerged as a crucial, albeit asymmetrical, buffer, with its buffering role being particularly consequential for the pressure-driven pathway, as moral identity also significantly weakened the indirect effect of HPWSs on UPB channeled through bottom-line mentality. Conclusions: These findings offer a holistic, systems-based understanding of the performance-ethics paradox. The validation of a dual-pathway model provides a new blueprint for how a single management system produces contradictory outcomes through competing mechanisms. The identification of key intervention points (e.g., fostering moral identity) offers practical strategies for managers to foster systems that support both high productivity and a sustainable ethical climate. Full article
(This article belongs to the Section Systems Practice in Social Science)
9 pages, 289 KB  
Protocol
Changes in Gut Microbiome According to Probiotic Intake in Rectal Cancer Patients Undergoing Diverting Stoma Repair: Study Protocol
by Hyeung-min Park, Jaram Lee, Soo Young Lee, Chang Hyun Kim and Hyeong Rok Kim
J. Clin. Med. 2025, 14(20), 7190; https://doi.org/10.3390/jcm14207190 (registering DOI) - 12 Oct 2025
Abstract
Background: The gut microbiome is crucial in sustaining intestinal balance and general health. Following rectal cancer surgery, the creation of a diverting stoma to protect the anastomosis results in a defunctioned colon, leading to dysbiosis. The effect of probiotic intake on gut [...] Read more.
Background: The gut microbiome is crucial in sustaining intestinal balance and general health. Following rectal cancer surgery, the creation of a diverting stoma to protect the anastomosis results in a defunctioned colon, leading to dysbiosis. The effect of probiotic intake on gut dysbiosis following ileostomy repair remains uncertain. Thus, this study aims to determine the changes in gut microbiota based on the intake of probiotics after diverting stoma repair. Methods: This single-center, parallel, prospective pilot study will include patients with primary rectal cancer planning to undergo a diverting stoma during rectal cancer surgery. The study will comprise 20 patients, with 10 patients receiving synbiotics after stoma repair and 10 patients not receiving probiotics. The primary endpoint is the change in the gut microbiota of the resting colon based on the intake of probiotics, assessed through fecal testing at the following time points: before bowel resection, immediately after diverting stoma repair, and 3 weeks after diverting stoma repair. Changes in gut microbiota will be evaluated using alpha- and beta-diversity analyses based on 16S rRNA sequencing of fecal samples. Discussion: This study is the first prospective cohort trial investigating changes in the gut microbiota of the resting colon based on oral probiotic administration in patients undergoing diverting stoma repair. This trial is anticipated to clarify the impact of probiotic intake in these patients. Trial registration: Clinical Research Information Service (CRIS) of the Republic of Korea, KCT0008392, Registered on 27 April 2023. Full article
(This article belongs to the Section Gastroenterology & Hepatopancreatobiliary Medicine)
18 pages, 1127 KB  
Review
Mechanisms of Resistance to Chemotherapy in Hypopharyngeal Carcinoma
by Zhaoyue Lu, Zhiwei Qiang, Wenbin Lei and Zhimou Cai
Biomedicines 2025, 13(10), 2485; https://doi.org/10.3390/biomedicines13102485 (registering DOI) - 12 Oct 2025
Abstract
Hypopharyngeal carcinoma (HPC) represents the most prognostically unfavorable subtype among head and neck malignancies. Platinum-based neoadjuvant chemotherapy serves as a critical therapeutic approach for improving outcomes in hypopharyngeal carcinoma; however, its efficacy remains suboptimal due to the high incidence of chemoresistance. Current research [...] Read more.
Hypopharyngeal carcinoma (HPC) represents the most prognostically unfavorable subtype among head and neck malignancies. Platinum-based neoadjuvant chemotherapy serves as a critical therapeutic approach for improving outcomes in hypopharyngeal carcinoma; however, its efficacy remains suboptimal due to the high incidence of chemoresistance. Current research on chemoresistance has primarily focused on head and neck squamous cell carcinoma (HNSCC), yet significant heterogeneity exists between hypopharyngeal carcinoma and other head and neck tumors, limiting the direct applicability of broader HNSCC research findings to hypopharyngeal carcinoma. This review systematically summarizes recent advances in understanding the mechanisms underlying chemoresistance in hypopharyngeal carcinoma, with emphasis on the comprehensive elucidation of key mechanisms, including apoptosis evasion, enhanced DNA damage repair, augmented autophagy, and increased drug efflux. Moreover, three noteworthy special scenarios involving cancer stem cells (CSCs), epithelial–mesenchymal transition (EMT), and cancer-associated fibroblasts (CAFs) are discussed. These entities not only intrinsically participate in multiple chemoresistance mechanisms but also interact synergistically, thereby further exacerbating chemoresistance in hypopharyngeal carcinoma. Full article
(This article belongs to the Section Cancer Biology and Oncology)
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17 pages, 317 KB  
Review
Effects of Air Pollution on Dialysis and Kidney Transplantation: Clinical and Public Health Action
by Sławomir Jerzy Małyszko, Adam Gryko, Jolanta Małyszko, Dominika Musiałowska, Anna Fabiańska and Łukasz Kuźma
J. Clin. Med. 2025, 14(20), 7194; https://doi.org/10.3390/jcm14207194 (registering DOI) - 12 Oct 2025
Abstract
Air pollution is associated with many adverse health outcomes, including kidney diseases. Kidney diseases, especially chronic kidney disease, are a significant public health issue globally. The burden of kidney disease is expected to rise due to population aging and the growing prevalence of [...] Read more.
Air pollution is associated with many adverse health outcomes, including kidney diseases. Kidney diseases, especially chronic kidney disease, are a significant public health issue globally. The burden of kidney disease is expected to rise due to population aging and the growing prevalence of diabetes and hypertension. End-stage kidney disease is associated with significant healthcare costs, morbidity, and mortality. Long-term exposure to air pollution was associated with increased risk for chronic kidney disease progression to kidney replacement therapy. Evidence on the effect of short-term exposure to air pollution on renal function is rather limited. Kidney transplant patients are likely to be even more susceptible to detrimental effects of air pollutants. Exposure to air pollution results in a higher risk for delayed graft function, acute rejection, and mortality. In this review we would like to summarize the state of knowledge on the influence of air pollution on outcomes in end-stage kidney failure and kidney transplantation. Full article
15 pages, 2048 KB  
Article
A Retrospective Study on Wilson Osteotomy with Intramedullary Locking Plate for Failed Hallux Valgus Correction: Insights from a Single-Surgeon Experience
by Yi Ping Wei, Meng Chen Kuo and Yi Jiun Chou
Life 2025, 15(10), 1592; https://doi.org/10.3390/life15101592 (registering DOI) - 12 Oct 2025
Abstract
Background/Objective: The recurrence of hallux valgus (HV) after primary surgical correction remains a clinical challenge, often requiring combined approaches to address both bony realignment and soft tissue imbalance. While locking plates have shown some biomechanical advantages in HV correction, evidence regarding their application [...] Read more.
Background/Objective: The recurrence of hallux valgus (HV) after primary surgical correction remains a clinical challenge, often requiring combined approaches to address both bony realignment and soft tissue imbalance. While locking plates have shown some biomechanical advantages in HV correction, evidence regarding their application in revision procedures is limited. This study presents a retrospective single-surgeon experience with a small cohort, aiming to describe radiographic and functional outcomes and to share practical insights rather than provide definitive conclusions. Methods: In this retrospective case series, patients undergoing revision surgery for failed HV correction over the past ten years at a single tertiary institution were analyzed. Radiographic parameters—hallux valgus angle (HVA), intermetatarsal angle (IMA), distal metatarsal articular angle (DMAA), and sesamoid position—were assessed. Functional outcomes included the American Orthopaedic Foot and Ankle Society (AOFAS) score and the Visual Analog Scale for pain. Surgical strategies were tailored according to recurrence mechanisms, and some cases involved Wilson osteotomy with intramedullary plate fixation. The Mann–Whitney U test and the Wilcoxon signed-rank test were applied to assess efficacy. Results: A total of 11 feet treated by one surgeon were included. Both soft tissue procedures and combined osteotomy with intramedullary plate fixation led to statistically significant but preliminary improvements in HVA, IMA, DMAA, and sesamoid alignment. Functional scores improved, and the complication rate was within the range reported in the previous literature. Conclusions: This retrospective single-surgeon study with a limited sample size suggests that Wilson osteotomy combined with intramedullary plate fixation may represent a joint-preserving and biomechanically supportive option for recurrent HV, particularly in cases with large DMAAs and severe sesamoid displacement. However, the findings should be interpreted cautiously given the small cohort, retrospective design, and absence of multi-angle radiographic visualization. The results highlight a potential approach in specific clinical settings rather than a definitive solution. Larger, prospective, multi-center studies are required to confirm long-term utility. Full article
(This article belongs to the Special Issue Novel Therapeutics for Musculoskeletal Disorders)
27 pages, 4875 KB  
Review
Toward Modern Pesticide Use Reduction Strategies in Advancing Precision Agriculture: A Bibliometric Review
by Sebastian Lupica, Salvatore Privitera, Antonio Trusso Sfrazzetto, Emanuele Cerruto and Giuseppe Manetto
AgriEngineering 2025, 7(10), 346; https://doi.org/10.3390/agriengineering7100346 (registering DOI) - 12 Oct 2025
Abstract
Precision agriculture technologies (PATs) are revolutionizing the agricultural sector by minimizing the reliance on plant protection products (PPPs) in crop management. This approach integrates a broad range of advanced solutions employed to help farmers in optimizing PPP application, while minimizing input and maintaining [...] Read more.
Precision agriculture technologies (PATs) are revolutionizing the agricultural sector by minimizing the reliance on plant protection products (PPPs) in crop management. This approach integrates a broad range of advanced solutions employed to help farmers in optimizing PPP application, while minimizing input and maintaining effective crop protection. These technologies include sensors, drones, robotics, variable rate systems, and artificial intelligence (AI) tools that support site-specific pesticide applications. The objective of this review was to perform a bibliometric analysis to identify scientific trends and gaps in this field. The analysis was conducted using Scopus and Web of Science databases for the period of 2015–2024, by applying a data filtering process to ensure a clean and reliable dataset. The methodology involved citation, co-authorship, co-citation, and co-occurrence analysis. VOSviewer software (version 1.6.20) was used to generate maps and assess global research developments. Results identified AI, sensor, and data processing categories as the most central and interconnected scientific topics, emphasizing their vital role in the evolution of precision spraying technology. Bibliometric analysis highlighted that China, the United States, and India were the most productive countries, with strong collaborations within Europe. The co-occurrence and co-citation analyses revealed increasing interdisciplinarity and the integration of AI tools across various technologies. These findings help identify key experts and research leaders in the precision agriculture domain, thus underscoring the shift toward a more sustainable, data-driven, and synergistic approach in crop protection. Full article
(This article belongs to the Collection Research Progress of Agricultural Machinery Testing)
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