Search Results (55)

Rail transit as a high-energy consumption field urgently requires the adoption of clean energy innovations to reduce energy consumption and accelerate the transition to new energy applications. As an energy-saving fluid machinery, the ejector exhibits significant application potential and academic value within this field. This paper reviewed the recent advances, technical challenges, research hotspots, and future development directions of ejector applications in rail transit, aiming to address gaps in existing reviews. (1) In waste heat recovery, exhaust heat is utilized for propulsion in vehicle ejector refrigeration air conditioning systems, resulting in energy consumption being reduced by 12~17%. (2) In vehicle pneumatic pressure reduction systems, the throttle valve is replaced with an ejector, leading to an output power increase of more than 13% and providing support for zero-emission new energy vehicle applications. (3) In hydrogen supply systems, hydrogen recirculation efficiency exceeding 68.5% is achieved in fuel cells using multi-nozzle ejector technology. (4) Ejector-based active flow control enables precise ± 20 N dynamic pantograph lift adjustment at 300 km/h. However, current research still faces challenges including the tendency toward subcritical mode in fixed geometry ejectors under variable operating conditions, scarcity of application data for global warming potential refrigerants, insufficient stability of hydrogen recycling under wide power output ranges, and thermodynamic irreversibility causing turbulence loss. To address these issues, future efforts should focus on developing dynamic intelligent control technology based on machine learning, designing adjustable nozzles and other structural innovations, optimizing multi-system efficiency through hybrid architectures, and investigating global warming potential refrigerants. These strategies will facilitate the evolution of ejector technology toward greater intelligence and efficiency, thereby supporting the green transformation and energy conservation objectives of rail transit. Full article

In higher education, the emotional intelligence (EI) of university professors, defined as the ability to perceive, understand, manage and utilize emotions effectively, is increasingly recognized as a pivotal factor in enhancing students’ academic achievement and psychological well-being. However, the scarcity of studies directly linking professors’ EI to students’ well-being highlights a critical research gap. This systematic review investigates how professors’ emotional competencies influence student outcomes—such as academic performance, engagement, motivation, and mental health—and identifies the factors that mediate or moderate these effects. Findings indicate that professors’ EI, particularly empathy, emotional regulation, and interpersonal skills, significantly enhances student engagement, motivation, and academic satisfaction, with indirect effects on psychological well-being. Cultural context, teaching modality (e.g., online vs. in-person), and professors’ age and experience moderate these effects and influence effect sizes. Qualitative synthesis further highlighted contextual gaps in the literature. The limited focus on well-being and outcomes and reliance on self-report measures underscore the need for longitudinal, culturally diverse studies and performance-based EI assessments. The value of this research lies in its potential to inform evidence-based educational practices and institutional policies. By elucidating the role of professors’ EI, the review lays the groundwork for developing faculty training programs aimed at strengthening emotional competencies and fostering inclusive, supportive learning environments that promote student growth and resilience. This is especially relevant given the growing prevalence of stress, anxiety, and disengagement among university students, exacerbated by post-pandemic challenges and academic pressures. Understanding the impact of EI can inform culturally responsive interventions, improve student retention, and enhance institutional effectiveness, thereby addressing a pressing need in contemporary higher education. In today’s rapidly evolving technological, social, and cultural landscape, universities have both the opportunity and the responsibility to act as catalysts for the creation of an educational culture that promotes social well-being. This requires adopting educational and organizational models that prioritize human care and the quality of interpersonal relationships. To be effective, these priorities must be integrated into all university operations, from governance to student support and talent development. Full article

Background and Objectives: During exam sessions, many students experience high levels of stress caused by the large volume of material to study, tight deadlines, and pressure to achieve top grades. This study aimed to examine the relationship between academic stress, sleep disturbances, and eating behaviors by using validated questionnaires administered to a student sample. As stress levels increased, the data revealed a higher frequency of insomnia symptoms and disordered eating, including behaviors such as compulsive eating and irregular meal patterns. Materials and Methods: This cross-sectional, correlational study was conducted on a convenience sample of 317 university students from various academic centers across Romania. Participants were recruited via online distribution of a self-administered questionnaire during a four-month period, including exam sessions. The survey included the Perceived Stress Scale (PSS), the Insomnia Severity Index (ISI), and the Eating Disorder Examination Questionnaire (EDE-Q), alongside additional items assessing perceived links between stress, sleep, and eating behaviors, and the use of medication. Data were analyzed using SPSS with Spearman correlations, t-tests, and linear regression. Results: Statistical analyses revealed significant and positive associations between perceived stress levels and insomnia, as indicated by Spearman’s correlation (p < 0.01). A similar significant correlation was identified between perceived stress and disordered eating behaviors among students. Specifically, the feeling of being overwhelmed by academic workload showed a strong positive correlation with a lack of control over eating behaviors (r = 0.568). Furthermore, linear regression analysis confirmed a significant predictive relationship between feeling overwhelmed and the tendency to eat excessively beyond initial intentions, with a standardized regression coefficient B = 0.581 (p < 0.001). A separate regression analysis focusing on exam-related stress and episodes of compulsive eating behavior demonstrated a comparable result (B = 0.573, p < 0.001), indicating a robust positive association. Additionally, independent samples t-tests demonstrated that students experiencing high levels of stress during the exam period reported significantly greater difficulties with sleep initiation and higher levels of disordered eating compared to their peers with lower stress levels. The difference in insomnia scores was highly significant (t = 11.516, p < 0.001), as was the difference in eating behavior scores (t = 10.931, p < 0.001). Conclusions: These findings underscore the need for emotional support services and effective stress management strategies, enabling students to navigate academic demands without compromising their mental or physical well-being. Full article

Contemporary college students face mounting psychological challenges under high academic pressure, and the design and functionality of campus environments may play a critical role in psychological recovery. Emerging evidence suggests that restorative benefits can be derived not only from natural environments but also from historically built settings rich in cultural narratives—can these historical environments compare to natural ones? This study surveyed how different campus environments affect students’ physiological (heart rate variability, HRV) and psychological (Profile of Mood States, POMS; Perceived Restorative Scale, PRS) outcomes. During the final exam week, 38 college students were exposed to four environments using a within-subject crossover design: an ordinary built environment, a natural landscape environment, a historical built environment with intentional historical narratives, and a built environment with unintentional historical narratives. The results indicated that the historical built environment with designed historical narratives provided restorative benefits comparable to those of natural landscape environments by enhancing HRV and improving mood states. These findings suggest that a historical built environment with intentional explicit historical interpretation can offer rehabilitation benefits similar to natural landscape environments, providing a practical pathway for high-density urban areas with small-scale historical campus settings to achieve effective restorative outcomes. Full article

Academic self-pressure is a significant source of stress for students, with physiological and cognitive implications that can influence academic performance. This study investigated the impact of academic self-pressure on heart rate variability (HRV) and cognitive performance, exploring the moderating role of physical activity through an experimental intervention. A randomized controlled trial (RCT) was conducted on a sample of 50 secondary school students, divided into an experimental group and a control group. The intervention, lasting 16 weeks, integrated physical activity based on escape room challenges with the traditional school curriculum. The results show that the experimental group recorded a significant improvement in HRV, a reduction in perceived stress, and an increase in cognitive performance, working memory, and academic achievement. Correlational and regression analyses highlighted the key role of physiological stress regulation in academic success. The findings emphasize the potential of integrating movement-based learning activities, such as escape room interventions, into school curricula as an effective strategy to enhance students’ stress regulation, executive functioning, and academic performance. By improving physiological self-regulation and cognitive efficiency, this approach supports a more holistic educational model that addresses both academic outcomes and student well-being. These results suggest that incorporating physically active, cognitively engaging tasks into the classroom may foster resilience, motivation, and adaptive coping skills, offering practical value for educational policy and classroom practice. Full article

Facing the support challenges of short-wall working face (15–40m) roadways in the ‘excavation–backfill–retention’ tunneling method for section coal pillars, traditional equipment struggled to achieve stable, reliable, and efficient support. This paper designed a temporary support robot for the excavation and mining system of section coal pillars to ensure the safety of equipment and personnel in short-wall working faces. The support requirements of the section coal pillar excavation and mining system were analyzed, and a general ‘driving under pressure’ temporary support scheme was proposed. The working principle of the temporary support robot was analyzed. A mechanical model for the stable support of the temporary support robot was established. The mechanical properties of the surrounding rock were analyzed, and the allowable range of the temporary support robot’s supporting force was determined while ensuring the stability of the surrounding rock. Based on the Stribeck friction theory, a dynamic model of the temporary support robot in the driving under pressure state was constructed. The boundary conditions of the dynamic model were set, and the corresponding relationship between the temporary support robot’s supporting force and its maximum static friction force was determined. This accurately described the influence of the supporting force and pushing (pulling) force on the movement during the process of driving under pressure. Through finite element simulation, the stress conditions of the temporary support robot and the floor under maximum load were analyzed, indicating that this load condition would not cause damage to the temporary support robot or the surrounding rock. Through multi-body dynamics simulation, the pushing (pulling) forces required for the temporary support robot’s movement under different supporting force conditions were obtained, verifying the feasibility of the driving under pressure action under different supporting force conditions. Moreover, the model-predicted and simulated values of the required pushing (pulling) forces during the process of driving under pressure were consistent, validating the accuracy of the driving under pressure dynamic model. This research provides a new theoretical framework for the design and dynamic analysis of temporary support equipment for short-wall working faces in section coal pillar mining, holding significant academic value and broad application prospects. Full article

With the advantages of simple structure, low power consumption, no electromagnetic interference, and fast response, piezoelectric pumps (PPs) have been widely used in the fields of chip cooling, biomedical applications, chemical applications, and fuel supply applications. In recent decades, scholars have proposed various PPs, and this article reviews the recent research results. In this review, according to the “valve” structure, PPs are divided into valve-less piezoelectric pumps (VLPPs), valve-based piezoelectric pumps (VBPPs), and piezoelectric pumps with valve and valve-less state transitions (PPVVSTs). Firstly, the design methods of typical structures were discussed, and comparisons were made in terms of driving frequency, driving voltage, output pressure, flow rate, structure materials, and pump size. The advantages and disadvantages of VLPPs, VBPPs, and PPVVSTs were analyzed. Then, we compared the driving parameters, output performance, structure materials, and pump size of single-chamber piezoelectric pumps (SCPs) and multi-chamber piezoelectric pumps (MCPs) and analyzed the advantages and disadvantages of SCPs and MCPs. Optimization methods proposed in recent years have been summarized to address the issues of the cavitation phenomenon, the liquid back-flow problem, and low output performance in PPs. Subsequently, the application research of PPs and the distribution of academic achievements were discussed. Finally, this review was summarized, and future research hot spots for PPs were proposed. The main contribution of this review is to provide piezoelectric pump (PP) researchers with a certain understanding of the structural design, optimization methods, practical applications, and research distribution of PPs, which can provide theoretical guidance for future research. Full article

The mining industry (MI), one of the largest energy consumers globally, is under increasing pressure to transition towards more sustainable energy systems. This paper explores the current trends in sustainable energy transition (SET) in mining operations, focusing on integrating renewable energy, decarbonization efforts, economic and technological enablers, and sustainability frameworks. Through a systematic literature review utilizing bibliometric tools such as Scopus and VOSviewer 1.6.20, this study identifies key themes, trends, and challenges shaping the future of energy transition in mining. Despite advancements in renewable technologies such as solar, wind, and hydrogen, the MI faces significant barriers, including high upfront costs, logistical challenges in remote operations, and inconsistent regional decarbonization policies. The review highlights the importance of global regulatory alignment, technological innovation, and financial mechanisms to overcome these challenges and accelerate the industry’s shift towards clean energy. Future research directions address gaps in renewable energy deployment, energy efficiency, and sustainability practices in the mining sector. This study aims to contribute to the academic discourse and provide actionable insights for industry stakeholders striving to achieve a SET. Full article

Test anxiety has been the focus of research interest in the domains of education and psychology for over 70 years, as it affects not only students’ academic achievement and overall well-being, but students’ families and school staff as well. Given the implications of high-stakes school exams for students’ future educational opportunities and self-esteem, it is unsurprising that students experience test anxiety under the pressure of achieving high scores. In this context, it is imperative to comprehend the predictors and consequences of test anxiety to develop efficacious prevention and intervention programs. Therefore, the present review, aiming to extend the current understanding, provides insight and impacts of test anxiety, and highlights corresponding future implications. The implications that emerge could be considered by teachers, school and developmental psychologists, and educational professionals who aim to support students in reducing test anxiety and performing to their full potential in assessment situations. Full article

Background/Objectives: Whole-food plant-based diets (WFPBDs) are beneficial in managing hypertension in the general population but have not been well studied in chronic kidney disease (CKD), potentially due to concerns about hyperkalemia. We hypothesized that individuals with CKD 3 or 4 attending a 15-day WFPBD education program would achieve lower blood pressure compared to those who did not, without an increased risk of hyperkalemia. Methods: This was a pilot trial of 40 subjects with mild-to-moderate CKD and hypertension but without diabetes or proteinuria from a single academic center. The subjects were randomized to the 15-day education program or the control group. The changes in blood pressure, serum potassium, and other anthropometric and biochemical values were assessed. Results: Systolic blood pressure decreased from the baseline to day 15 in the intervention group by 8 mm Hg and increased in the control group by 2.7 mm Hg, although the difference in the blood pressure change did not reach statistical significance (p = 0.12). Diastolic blood pressure was not different between the two groups. Potassium changed by 0.01 mEq/L in the intervention group and −0.07 mEq/L in the control group (p = 0.52). The intervention subjects had significant decreases in body mass (−3.0 vs. −0.12 kg, p < 0.0001), total cholesterol (−39.4 vs. −5.0 mg/dL, p < 0.0001), low-density lipoprotein (−28.4 vs. −0.6 mg/dL, p < 0.0001), and high-density lipoprotein (−8.6 vs. −0.4 mg/dL, p = 0.006) compared to the controls. The changes in albumin and phosphorus were not different between the two groups. Conclusions: The subjects with mild-to-moderate CKD attending a 15-day WFPBD education program had a non-statistically significant reduction in systolic blood pressure without an increased risk of hyperkalemia compared to those who did not attend. The intervention subjects achieved significantly greater reductions in body mass and cholesterol without adverse effects on albumin or phosphorus. Larger and longer-duration trials using this approach in a diverse group of CKD patients are warranted. Full article

Background: The increasing focus on healthy eating and achieving an ideal physique can lead to the development of disordered eating patterns, including orthorexia nervosa. The relationship between body image perception, self-esteem, and the risk of orthorexia nervosa is multifaceted, with negative body image and low self-esteem often acting as contributing factors. This study aimed to assess the risk of orthorexia nervosa and analyze body image perception among women engaged in strength training and dietetics students. Methods: The study was conducted using a Computer-Assisted Web Interview with 190 women aged 18 and older, divided into four groups: dietetics students engaged in strength training, dietetics students not engaged in strength training, non-dietetics women engaged in strength training, and non-dietetics women not engaged in strength training. The study utilized the Düsseldorf Orthorexia Scale to assess the risk of orthorexia nervosa and the Body-Esteem Scale to evaluate body image perception. Results: The highest orthorexia nervosa risk was observed in dietetics students who do not engage in a strength training group (60.9%), followed by dietetics students who engage in a strength training group (37.5%). In contrast, women who are not studying dietetics and do not engage in a strength training group exhibited the lowest orthorexia nervosa risk (13%), emphasizing the protective role of physical activity and reduced focus on nutritional rigidity. Regression analysis revealed that low appearance self-esteem (p = 0.011) and high social attribution (p = 0.043) significantly predicted higher orthorexia nervosa risk. Group affiliation also influenced orthorexia nervosa risk, with dietetics students showing higher Düsseldorf Orthorexia Scale scores. However, weight-related self-esteem (p = 0.082) did not significantly impact orthorexia nervosa scores. Conclusions: Dietetics education and physical activity independently and collectively affect orthorexia nervosa risk. Students in dietetics, particularly those not engaged in strength training, are at a higher risk due to the dual influence of academic pressures and heightened nutritional awareness. The findings underscore the need for interventions targeting body image perception, promoting flexible dietary approaches, and addressing external validation pressures to mitigate orthorexia nervosa risk in high-risk groups. Full article

Trillium Health Partners (THP) is a hospital network that serves the Mississauga region of Ontario, Canada, and sees nearly 1.7 million patient visits each year. THP is also a provider of highly specialized services to the region and a fully-fledged academic teaching center, with embedded research and innovation. Background/Objectives: Highly trained, skilled, and experienced nurses are foundational to THPs ability to meet the complex care needs of our patients across specialized programs. In 2024, 50% of the nursing workforce at THP was noted to have less than five years of experience. This generation of nurses are reporting high levels of burnout and are at greater risk of leaving the profession. The more experienced nurses are also facing burnout due to the continued pressures and demands in the workplace, having to manage an increasingly complex patient assignment, while providing mentorship to more novice nurses. Based on the existing literature and our collective experience at THP, we have developed the Transition to Independent Practice Support (TIPS) program, a multi-pronged approach to bolster support for our nursing workforce. The TIPS program at THP is designed to address knowledge gaps and enhance clinical competence among new and aspiring nurses. The primary aim of this study is to evaluate the efficacy of the TIPS program in facilitating the transition of novice nurses to independent and competent practitioners, utilizing the Kirkpatrick Model of Evaluation The specific objectives include (a) assessing participants’ reactions to the TIPS program; (b) measuring the increase in nurses’ knowledge and confidence following program participation; (c) evaluating changes in nurses’ behavior and practice post-program; and (d) determining the program’s impact on nurse retention and quality of patient care. Methods: Grounded in Meleis’s Transition Theory, the program combines webinars, simulations, clinical rounding, and mentorship to build resilience, decision-making, and confidence. Evaluative measures, based on the Kirkpatrick Model, assessed participant satisfaction, learning outcomes, behavior changes, and retention. Results: From September 2023 to March 2024, 388 interdisciplinary participants attended the program, including nursing students (56%), registered nurses (24%), registered practical nurses (14%), and aspiring nurses in other interprofessional roles (6%). Participants expressed high satisfaction with the program, achieving a mean reaction score of 4.80 (SD = 0.2921). Ninety-five percent found the sessions relevant, and 98% rated the facilitators as knowledgeable. Self-reported confidence significantly increased across all topics, with overall mean confidence scores rising from 2.94 to 4.52 (p < 0.0001, Cohen’s d = 3.01), demonstrating a strong impact on skill acquisition and application. Behavioral evaluations through simulations, competency checklists, and follow-up touchpoints confirmed improved clinical performance, with participants achieving 100% compliance to nursing skills during simulations and sustained confidence at three-month follow-ups. Since the program’s implementation, nursing turnover rates decreased from 9.52% to 7.7% by March 2024, with 100% of RNs, RPNs and IENs of TIPS participants retained within six months. Conclusions: This paper outlines the TIPS program and the diverse teaching and learning methodologies used in the design and program implementation to ultimately support the transition experience of the new gradate nurse into acute care. Preliminary outcomes are discussed including nursing retention rates, nurses’ knowledge, confidence, and skill levels. Full article

This study investigates the moderating effects of several contextual factors (i.e., teachers’ growth mindset, perceived school climate, and perceived parental autonomy support) on the relationship between students’ growth mindset and academic achievement. Drawing on Dweck’s growth mindset theory and recent research findings that highlight the context sensitivity of the growth mindset, we hypothesize that supportive environments strengthen the positive impact of students’ growth mindset on academic outcomes. A sample of 358 middle school students (53.8% female; Mage = 13.38 years, SD = 2.20) from public schools in Shanghai City, mainland China, was assessed via three validated instruments: (1) the Growth Mindset Inventory, which is used to measure students’ and teachers’ beliefs about intelligence; (2) the Delaware School Climate Survey for Students, which is used to assess students’ perceptions of the school climate; and (3) the Perceived Parental Autonomy Support Scale, which is used to evaluate students’ perceived parental autonomy support. Academic achievement was measured by district-level final exam scores. The results of hierarchical regression analyses revealed that teachers’ growth mindset, perceived school climate support (e.g., teacher–student and student–student relations, fairness of rules, school safety, liking of school), and the perception of positive parental autonomy support (e.g., choice, rationale, acknowledgment) positively moderated the relationship between students’ growth mindset and academic achievement. In contrast, the perception of negative parental autonomy factors (e.g., punishment threats, performance pressure, guilt-inducing criticism) negatively moderated this relationship. These results indicate that the relationship between students’ growth mindset and academic achievement may vary depending on contextual factors, highlighting the importance of considering both positive and negative influences when designing educational strategies. Full article

The detection of the human mental fatigue state holds immense significance due to its direct impact on work efficiency, specifically in system operation control. Numerous approaches have been proposed to address the challenge of fatigue detection, aiming to identify signs of fatigue and alert the individual. This paper introduces an approach to human mental fatigue assessment based on the application of machine learning techniques to the video of a working operator. For validation purposes, the approach was applied to a dataset, “Human Fatigue Assessment Based on Video Data” (HFAVD) integrating video data with features computed by using our computer vision deep learning models. The incorporated features encompass head movements represented by Euler angles (roll, pitch, and yaw), vital signs (blood pressure, heart rate, oxygen saturation, and respiratory rate), and eye and mouth states (blinking and yawning). The integration of these features eliminates the need for the manual calculation or detection of these parameters, and it obviates the requirement for sensors and external devices, which are commonly employed in existing datasets. The main objective of our work is to advance research in fatigue detection, particularly in work and academic settings. For this reason, we conducted a series of experiments by utilizing machine learning techniques to analyze the dataset and assess the fatigue state based on the features predicted by our models. The results reveal that the random forest technique consistently achieved the highest accuracy and F1-score across all experiments, predominantly exceeding 90%. These findings suggest that random forest is a highly promising technique for this task and prove the strong connection and association among the predicted features used to annotate the videos and the state of fatigue. Full article

Background/Objectives: This study aims to develop and validate a Glaucoma Health Score (GHS) that incorporates multiple individual glaucoma risk factors to enhance glaucoma detection in screening environments. Methods: The GHS was developed using a retrospective dataset from two clinical sites, including both eyes of glaucoma patients and controls. The model incorporated age, central corneal thickness, intraocular pressure, pattern standard deviation from a visual field threshold 24-2 test, and two parameters from an optical coherence tomography (OCT) test: the average circumpapillary retinal nerve fiber layer thickness and the minimum thickness of the six sectors of the macular ganglion cell plus the inner plexiform layer. The GHS was then validated in two independent datasets: one from primary care sites using Maestro OCT data (test dataset 1) and another from an academic center using DRI OCT Triton (test dataset 2). Results: Both eyes of 51 glaucoma patients and 67 controls were included in the development dataset. Setting the GHS cutoff at 75 points out of 100, test dataset 1, which comprised 41 subjects with glaucoma and 41 healthy controls, achieved an area under the receiver operating characteristic curve (AUROC) of 0.98, with a sensitivity of 71% and specificity of 98%; test dataset 2, which included 53 patients with glaucoma and 53 healthy controls, resulted in an AUROC of 0.95, with a sensitivity of 75% and specificity of 96%. A decision curve analysis across all datasets demonstrated a higher net benefit for the GHS model compared to individual OCT parameters. Conclusions: The GHS offers a feasible, standardized approach for early detection of glaucoma, providing strong specificity and acceptable sensitivity, with clear decision-making benefits in screening settings. Full article