Search Results (4,931)

Background/Objectives: Academic burnout is an emerging problem among nursing students, characterized by emotional exhaustion, cynicism, and reduced academic efficacy. Sports interventions have been shown to have a positive effect on nurses as a preventive strategy against burnout. The aim of this study was to evaluate the effect of a nature sports program on the levels of academic burnout in nursing students. Methods: A randomized clinical trial was performed. The intervention was a 12-week nature exercise program with two sessions each week. The main dependent variables were burnout (measured using the Maslach Burnout Inventory—Student Survey), stress (measured using the Perceived Stress Scale), and anxiety and depression (measured using the Hospital Anxiety and Depression Scale). The post-intervention sample size was n = 58 in the control group and n = 48 in the intervention group. Results: After the intervention, significant differences were found in respect of emotional exhaustion (p < 0.001; Cohen’s D: 0.483), stress (p < 0.05; Cohen’s D: 0.456), and mean steps per day (p < 0.001; Cohen’s D: −1.09), with the mean values being reduced in the intervention group by around three points in emotional exhaustion and stress; the intervention group also achieved a higher mean number of daily steps compared to the control group. Conclusions: A nature sports program could help to reduce emotional exhaustion and stress, and increase the number of steps per day. Full article

Dams are currently confronted with severe risks from frequent extreme climates and expanding aging deterioration, with traditional mitigation measures struggling to balance efficient prevention/control and long-term management. As an innovative solution, fiber-reinforced polymer (FRP) composites support improved dam safety governance. To address the lack of systematic integration in existing dam-related studies, this paper promotes the development of an FRP in the dam field by comprehensively analyzing and summarizing the material properties, interfacial bonding properties of the FRP, as well as the flexural and compressive characteristics of FRP bar–concrete members and FRP sheet–concrete members while systematically organizing their practical engineering application cases. It also explores the FRP’s potential in hydraulic structures and suggests its wider application therein based on the FRP’s superior properties. Full article

Shell-like housing structures for motors and compressors can be found in everyday products. Consumers significantly evaluate acoustic emissions during the first usage of products. Unpleasant sounds may raise concerns and cause complaints to be issued. A prevention strategy is a holistic acoustic design, which includes predicting the emitted sound power as part of end-of-line testing. The hybrid experimental-simulative sound power prediction based on laser scanning vibrometry (LSV) is ideal in acoustically harsh production environments. However, conducting vibroacoustic testing with laser scanning vibrometry is time-consuming, making it difficult to fit into the production cycle time. This contribution discusses how the time-consuming sampling process can be accelerated to estimate the radiated sound power, utilizing adaptive sampling. The goal is to predict the acoustic signature and its uncertainty from surface velocity data in seconds. Fulfilling this goal will enable integration into a product assembly unit and final acoustic quality control without the need for an acoustic chamber. The Gaussian process regression based on PyTorch 2.6.0 performed 60 times faster than the preliminary reference implementation, resulting in a regression estimation time of approximately one second for each frequency bin. In combination with the Equivalent Radiated Power prediction of the sound power, a statistical measure is available, indicating how the uncertainty of a limited number of surface velocity measurement points leads to predictions of the uncertainty inside the acoustical signal. An adaptive sampling algorithm reduces the prediction uncertainty in real-time during measurement. The method enables on-the-fly error analysis in production, assessing the risk of violating agreed-upon acoustic sound power thresholds, and thus provides valuable feedback to the product design units. Full article

Background: Post-traumatic joint contracture (PTJC) remains one of the most prevalent and challenging complications arising from musculoskeletal trauma or surgical intervention. Conventional treatment modalities are largely reactive and address symptoms after onset, yet provide limited efficacy once contracture has developed. In contrast, pharmacological strategies targeting the underlying inflammatory and fibrotic pathways offer a promising strategy for preventing the development of PTJC altogether. Methods: A total of 26 male Sprague Dawley rats underwent standardized knee trauma followed by immobilization for a duration of two weeks. Rats were randomized into two groups. The experimental group (n = 13) received bosentan at a dosage of 50 mg/kg twice daily throughout the immobilization period. The control group (n = 13) received a placebo instead. Joint mobility was quantitatively assessed by measuring the contracture angle (CA) and resistance to extension. In addition, posterior joint capsule tissues were harvested for histological analysis and subjected to quantitative PCR (qPCR) to quantify the expression of profibrotic genes, including α-Sma, Il-6, Tgf-β1, Nfκ-b, Ctgf. Results: Bosentan had no relevant effect on the biomechanics of the contracture compared to the placebo group. The contracture angle was comparable between the groups (86.8° ± 14.1°, 84.8° ± 11.1°). Similarly, the force required to achieve knee joint extension was comparable between the groups. Gene expression analysis also provided no evidence of reduced expression of pro-inflammatory or profibrotic genes. Histological assessments revealed no change in the absolute or relative number of myofibroblasts, or in the number of vessels, in the posterior joint capsules of the rats treated with bosentan. Compared to the control group, the number of myofibroblasts significantly increased in both the bosentan and control groups (p < 0.001, one-way ANOVA). Conclusion: Bosentan’s purported antifibrotic properties do not appear to confer a preventative effect on the development of PTJC. These findings suggest that, despite its potential in modulating fibrosis, bosentan does not mitigate the progression of the fibrotic condition. Furthermore, the involvement of endothelin-1 (ET-1) in the pathophysiology of PTJC remains yet to be fully understood, warranting further investigation. Full article

Motion capture (MoCap) data derived from wearable Inertial Measurement Units is essential to applications in sports science and healthcare robotics. However, a significant amount of the potential of this data is limited due to missing data derived from sensor limitations, network issues, and environmental interference. Such limitations can introduce bias, prevent the fusion of critical data streams, and ultimately compromise the integrity of human activity analysis. Despite the plethora of data imputation techniques available, there have been few systematic performance evaluations of these techniques explicitly for the time series data of IMU-derived MoCap data. We address this by evaluating the imputation performance across three distinct contexts: univariate time series, multivariate across players, and multivariate across kinematic angles. To address this limitation, we propose a systematic comparative analysis of imputation techniques, including statistical, machine learning, and deep learning techniques, in this paper. We also introduce the first publicly available MoCap dataset specifically for the purpose of benchmarking missing value imputation, with three missingness mechanisms: missing completely at random, block missingness, and a simulated value-dependent missingness pattern simulated at the signal transition points. Using data from 53 karate practitioners performing standardized movements, we artificially generated missing values to create controlled experimental conditions. We performed experiments across the 53 subjects with 39 kinematic variables, which showed that discriminating between univariate and multivariate imputation frameworks demonstrates that multivariate imputation frameworks surpassunivariate approaches when working with more complex missingness mechanisms. Specifically, multivariate approaches achieved up to a 50% error reduction (with the MAE improving from 10.8 ± 6.9 to 5.8 ± 5.5) compared to univariate methods for transition point missingness. Specialized time series deep learning models (i.e., SAITS, BRITS, GRU-D) demonstrated a superior performance with MAE values consistently below 8.0 for univariate contexts and below 3.2 for multivariate contexts across all missing data percentages, significantly surpassing traditional machine learning and statistical methods. Notable traditional methods such as Generative Adversarial Imputation Networks and Iterative Imputers exhibited a competitive performance but remained less stable than the specialized temporal models. This work offers an important baseline for future studies, in addition to recommendations for researchers looking to increase the accuracy and robustness of MoCap data analysis, as well as integrity and trustworthiness. Full article

Background/Objectives: Hearing loss is a disorder that develops because of being exposed to high noise levels affecting the quality of life among affected individuals. A review of the literature was conducted to explore the prevalence of hearing loss and its associated factors among workers in the metal industry. Methods: The literature search was conducted on ScienceDirect, Google Scholar, Pub Med, ResearchGate and African Journals Online databases to identify articles according to the Preferred Reporting Items for Systematic Reviews and Meta analyses (PRISMA) guidelines. The studies published in scientific journals between January 2014 and December 2024 describing hearing loss and its associated factors among workers in the metal industry were considered for inclusion in the review. The articles were screened by the author. The Critical Appraisal Skills Programme (CASP) quality assessment tool with modified checklist questions was used to evaluate the quality of studies. Results: Following the literature search and using the relevant inclusion criteria, a total of 127 articles were identified, and 8 articles with a total of 2605 participants were included in the review. The sample sizes ranged from 93 to 606. The participants’ age ranged from 19 to 65 years. A review of studies showed varying prevalence of hearing loss ranging from 13.8% to 59%. Furthermore, the studies have found working experience, advanced age, cigarette smoking, tinnitus, working in areas of high noise levels and not using hearing protective devices to be associated with a risk of developing hearing loss. Conclusions: The review found that workers in the metal industry are at risk of developing hearing loss and, therefore, implementation of control measures to prevent the occurrence of hearing loss is necessary. Full article

Background/Objectives: The COVID-19 pandemic disrupted healthcare systems globally, with dental services significantly limited due to infection control measures. This study investigates the impact of the pandemic on the clinical presentation, management, and outcomes of odontogenic abscesses over three distinct periods. Methods: A retrospective study was conducted at University Clinical Hospital (Poznan, Poland), which included adult patients hospitalised for odontogenic infections between March 2019 and February 2022. The cohort comprised 101 patients (median age: 33 years; 59.41% male), with admissions distributed across pre-pandemic (37.62%), pandemic (19.80%), and post-pandemic (42.57%) periods. Clinical, biochemical, and radiographic data were analysed. Results: No statistically significant differences were found between periods for abscess severity, hospitalisation length, or inflammatory marker levels. Elevated procalcitonin (Rs = 0.289, p = 0.005), C-reactive protein (Rs = 0.385, p < 0.001), and body mass index (Rs = 0.253, p = 0.011) independently predicted longer hospital stays. In regression modelling, procalcitonin (β = 0.464, p = 0.001) and prior outpatient antibiotic use (β = 0.281, p = 0.038) were mainly associated with larger abscess volumes, while comorbidities (β = 0.262, p = 0.025), longer hospitalisation (β = 0.594, p = 0.001) and abscess volume (β = −0.294, p = 0.040) increased the risk of reoperation. Conclusions: The study highlights clinically important findings linked to delayed dental care and increased systemic inflammation related to the pandemic. Elevated procalcitonin and CRP levels provide prognostic information that can guide early triage, risk stratification, and decisions regarding surgical versus outpatient management. These findings emphasise the importance of maintaining essential dental services, implementing preventive strategies, and optimising management protocols to reduce the risk of severe infections and improve patient outcomes during healthcare disruptions. Full article

Background/Objectives: Childhood obesity rates in Jordan have reached alarming levels, with 28% of school-age children classified as overweight or obese. School-based gardening interventions show promise for promoting healthy eating behaviors, yet limited research exists in Middle Eastern contexts. This study evaluated the effectiveness of a five-month school-based vegetable gardening and nutrition education intervention on anthropometric measures, dietary intake, and knowledge, attitudes, and practices (KAP) regarding vegetable consumption among Jordanian primary school children. Methods: A quasi-experimental controlled trial was conducted with 216 students (ages 10–12 years) from two demographically matched schools in Amman, Jordan. The intervention group (n = 121) participated in weekly one-hour gardening sessions combined with nutrition education and vegetable tasting activities over five months, while the control group (n = 95) continued the standard curriculum. Outcomes measured at baseline and post-intervention included anthropometric assessments, dietary intake via 24 h recalls, and vegetable-related KAP using a validated questionnaire. Data were analyzed using paired t-tests and repeated measures ANCOVA. Results: The intervention group demonstrated significant improvements in body composition, including reductions in BMI (−1.57 kg/m²), weight (−1.88 kg), and BMI z-score (−0.37), while controls showed minimal increases. Vegetable intake showed significant time × group interaction (p-value = 0.003), with a non-significant increase in the intervention group (2.7 to 2.9 times/day) and a non-significant decrease in the controls (2.5 to 2.4 times/day). Dietary quality improved, including increased fiber intake (+2.36 g/day) and reduced saturated fat consumption (−9.24 g/day). Nutrition knowledge scores increased substantially in the intervention group (+22.31 points) compared to controls (+1.75 points; p-value ≤ 0.001). However, attitudes and practices toward vegetable consumption showed no significant changes. Conclusions: This intervention effectively improved body composition, dietary quality, and nutrition knowledge among Jordanian primary school children. These findings provide evidence for implementing culturally adapted school gardening programs as childhood obesity prevention interventions in Middle Eastern settings, though future programs should incorporate family engagement strategies to enhance behavioral sustainability. Full article

Background: Tendinopathy is a degenerative condition caused by mechanical overload, accounting for approximately 30% of musculoskeletal healthcare cases. It progresses through a process characterized by collagen disorganization, altered vascularization, and neuronal ingrowth. Traditional conservative treatments, such as therapeutic exercises, non-steroidal anti-inflammatory drugs, and physical therapies, are useful, but their effectiveness is sometimes only partial and there is a need to search for new potential solutions. Recent interest in oxygen–ozone (O₂-O₃) therapy stems from preliminary observations suggesting potential anti-inflammatory and regenerative effects. Nevertheless, its clinical role remains speculative and warrants thorough investigation beyond anecdotal evidence. Considering the heterogeneity of clinical presentations and treatment responses among patients, O₂-O₃ therapy has been proposed as a promising tool for tailoring personalized treatment strategies for tendinopathy. This review critically appraises the available literature concerning the mechanistic rationale and clinical applications of O₂-O₃ therapy in tendinopathy, with attention to both its theoretical underpinnings and the quality of empirical evidence. Methods: A literature search was conducted on O₂-O₃ therapy for tendinopathy using PubMed, Cochrane, and Embase, filtering for full-text articles published between 2004 and 2024. Recent clinical trials were included irrespective of evidence level, while excluding systematic reviews, duplicates, and irrelevant studies. Results: Ozone has been shown to modulate oxidative stress, promote neovascularization, and suppress pro-inflammatory cytokines. Both clinical and in vivo studies indicate that O₂-O₃ therapy relieves pain, enhances tendon healing, and improves biomechanical properties. Some comparative studies suggest that O₂-O₃ therapy might provide more sustained symptoms control than corticosteroids, but the heterogeneity of follow-up durations and outcome measures prevents definitive conclusions. Conclusions: O₂-O₃ therapy emerges as a potentially valuable adjunct in the management of chronic tendinopathy, particularly in cases unresponsive to conventional treatments. However, its clinical role remains to be clearly defined and its possible role in personalized medicine needs further exploration, particularly in relation to patient stratification and individualized treatment protocols. Further high-quality randomized controlled trials are warranted to validate its efficacy, determine long-term outcomes, and standardize treatment protocols to ensure safety and reproducibility. Full article

Background/Objectives: Whole-body vibration (WBV) has been widely studied for its effects on neuromuscular activation, circulation, and balance. This study investigates the effect of wearing frequency of vibrating sneakers (18 Hz) on lower limb muscle activation during walking and squatting in middle-aged Koreans (40–60 years old). The objective is to assess whether WBV footwear enhances muscle engagement in both active and sedentary individuals. Methods: A 16-week randomized controlled trial was conducted with 64 participants divided into exercise (walking 30 min, three times a week) and non-exercise groups. Each group was further divided into wearing and non-wearing vibrating sneaker subgroups. Muscle activation of the quadriceps and gastrocnemius was measured using surface electromyography before and after the intervention. Results: Participants wearing vibrating sneakers showed significantly increased quadriceps and gastrocnemius activation during squatting and walking compared to non-wearers (p < 0.05). The exercise group wearing WBV sneakers exhibited greater improvements in muscle activation than the non-exercise group, indicating that WBV enhances the benefits of regular walking. However, no significant differences were observed in some lower leg muscles, suggesting that WBV effects may vary based on movement type and muscle group. Conclusions: Findings suggest that WBV sneakers (18 Hz) can enhance muscle activation during dynamic movements, potentially offering a low-impact training alternative for improving lower limb strength. These results provide valuable insights for exercise professionals, rehabilitation specialists, and wearable sensor developers, highlighting the potential of WBV footwear in neuromuscular conditioning and injury prevention. Full article

Microfluidic chips made of polydimethylsiloxane (PDMS) have shown significant application potential in aquatic environments with high microbial density, such as “marine ranches”, due to their high-throughput, high-efficiency and high-precision detection capabilities. This technology can rapidly identify pathogenic microorganisms or harmful particles in aquaculture systems, thereby providing urgently needed innovative methods for implementing preventive measures and enhancing aquaculture productivity. By regulating the micro-nano scale channel structure, microfluidic technology can precisely control fluid flow patterns, offering new insights and effective solutions for microbiological research and the separation and analysis of particulate matter. This paper first provides a concise overview of the application of microfluidic chip technology in the analysis of marine microorganisms. Subsequently, it focuses on the “compliance” phenomenon in PDMS-based microfluidic systems, systematically reviewing the potential mechanisms, latest progress and impacts of compliance behavior in mechanically elastic materials such as PDMS. Additionally, this article also investigates the role of “compliance” in key processes of microfluidic technology application, including the capture, separation, enrichment and detection of microorganisms and particles. Moreover, the relationship between surface wettability engineering and compliance phenomena is also explored. We believe that this review will contribute to enhancing the understanding and control of the mechanical behavior of microfluids and the particles they carry within microfluidic systems, providing valuable theoretical insights and practical guidance for researchers in this field. Full article

Background and Objective: Postoperative nausea and vomiting (PONV) ranks among the most common postoperative complications, affecting up to 80% of patients undergoing laparoscopic bariatric surgery. This condition negatively impacts patient comfort and well-being while also potentially delaying ambulation and increasing the risk of anastomotic and wound dehiscence. Although various interventions can mitigate the risk of PONV, none are entirely effective; therefore, combined prophylactic strategies are the standard approach. In recent years, numerous techniques and interventions have emerged; consequently, this scoping review aims to assess the current evidence regarding PONV prevention in patients undergoing laparoscopic bariatric procedures. Methods: This review was conducted in accordance with PRISMA guidelines and registered with OSF. A search was performed across the MEDLINE (PubMed), Scopus, Embase, and Web of Science databases. Inclusion criteria encompassed randomized controlled trials (RCTs) published up to May 2025, focusing on adult patients undergoing laparoscopic bariatric surgeries with PONV as a primary or secondary outcome. Results: A total of 81 studies were included in this review, encompassing a broad range of perioperative techniques, including opioid-sparing adjuvants, regional anesthesia, and pharmacological interventions. Conclusions: While there is general consensus and guidance advocating for a multimodal approach to PONV prevention, debates persist regarding the optimal techniques and antiemetic drug regimens to implement. Emerging evidence, particularly concerning regional anesthesia strategies and combined pharmacological prophylaxis, including novel agents, highlights the potential advantages of innovative approaches. Highlights: Effective management of postoperative nausea and vomiting in patients undergoing laparoscopic bariatric surgery is essential, given its impact on patient comfort, recovery, and the potential to prevent wound or anastomotic dehiscence. Although multimodal antiemetic strategies are regarded as standard, disagreements remain regarding specific measures to be adopted. New techniques and strategies, including advanced regional anesthesia techniques, pharmacological, and non-pharmacological methods, offer promising avenues for improved prophylaxis. Full article

The risk of debris flow comprehensively reflects both the natural and social attributes of debris flow disasters, composed of the hazard of debris flow and the vulnerability of the bearing body. The geological environment of the Kashgar-to-Khunjerab section of the China–Pakistan Economic Corridor is complex, with widespread debris flow disasters, strong activity, and severe hazards, posing a significant threat to corridor construction and public safety. Therefore, conducting debris flow risk assessments in the Kashgar-to-Khunjerab section of the China–Pakistan Economic Corridor has great significance for disaster prevention and control. Based on field investigation data of debris flows, this study evaluates the hazard of debris flows in the study area through the frequency ratio and frequency ratio–logistic regression coupled models. The vulnerability of debris flows was evaluated through a contribution weight model. Based on the assessment results of hazard and vulnerability, a risk assessment model was utilized to explore the risk situation of debris flow disasters in the Kashgar-to-Khunjerab section of the China–Pakistan Economic Corridor. The results show that the frequency ratio–logistic regression coupled model (AUC = 0.867) is more suitable for debris flow disasters hazard assessment. The area of medium hazard zones and above accounts for 68.6% of the total area. The vulnerability in the study area is generally concentrated in the township regions along the Kashgar-to-Khunjerab section of the China–Pakistan Highway. The proportion of medium and above vulnerability zones areas reaches 55.6%. The risk levels of the study area generally radiate outward from the Kashgar-to-Khunjerab section of the China–Pakistan Highway, exhibiting a decreasing trend of from high to low. The distribution areas of different risk zones initially increase and then decrease with the rise in risk levels, and the area of medium risk zones and above accounts for 50.8% of the total area. Approximately 91.7% of debris flow disaster points are located in high and very high risk zones. This indicates that the study area has a high level of risk. The study results can provide a scientific basis for planning debris flow disasters prevention and mitigation measures, and the proposed assessment methods can also serve as a reference and guidance for debris flow risk assessment in the study area and other regions. Full article

The operational risks of equipment in coalbed methane (CBM) gathering stations exhibit dynamic characteristics. To address this, a dynamic risk assessment method based on Dynamic Bayesian Networks (DBNs) is proposed for CBM station equipment. Additionally, a comprehensive safety management evaluation model is established for gathering station equipment. This approach enables accurate risk assessment and effective implementation of safety management in CBM gathering stations. This method primarily consists of three core components: risk factor identification, dynamic risk analysis, and comprehensive safety management evaluation. First, the Bow-tie model is applied to comprehensively identify risk factors associated with station equipment. Next, a DBN is constructed based on the identified risks, and Markov theory is employed to determine the state transition matrix. Finally, a Comprehensive Safety Management (CSM) evaluation model for gathering station equipment is established. The feasibility of the proposed method is validated through case study applications. The results indicate that during the operation of equipment at CBM gathering stations, priority should be given to strengthening maintenance for medium-hole and enhancing prevention and emergency measures for jet fires. Temperature-controlled spiral-wound heat exchangers, skid-mounted circulating pumps, and pipelines have been identified as critical factors affecting accident occurrence at CBM gathering stations. Enhanced daily inspection and maintenance of this equipment should be implemented. Furthermore, compared to other safety evaluation indicators, the Emergency Preparedness and Response indicator has the most significant impact on the operational safety of CBM gathering station equipment. It requires high-priority attention, thorough implementation of relevant measures, and continuous improvement through targeted actions. Full article

Calf disbudding is a routine practice in the dairy industry to prevent horn growth and reduce the risk of injury to animals and handlers. However, growing public concern about animal welfare has raised questions about the acceptability of common disbudding methods. This study explored public perceptions of caustic paste and hot-iron disbudding using a mixed methods approach. Quantitative survey analyses captured measurable trends while iterative qualitative analysis explored the underlying reasons behind participant’s attitudes. A convenience sample with a total of 511 Texas resident participants completed a 44-item online survey that included demographic questions, the Animal Attitude Scale (AAS-10), and image-based evaluations of the two techniques. Quantitative analysis using factor analysis and multiple regression revealed that concern for animal welfare and justification for animal use were the most significant predictors (p < 0.001) of method acceptability, with caustic paste generally viewed as more humane. Qualitative responses reinforced these results, identifying themes of animal suffering, ethical concerns, and a widespread lack of public knowledge. While caustic paste was preferred, skepticism toward hot-iron disbudding was more pronounced among low-income participants. Nonetheless, when properly performed with pain control, hot-iron disbudding is often considered a more controlled and welfare-conscious method due to faster healing times and reduced risk of injury to other animals from paste exposure. These findings underscore the need for consumer education and transparent communication from the dairy industry. Full article