Traditional Programs Research Articles

로버스카우트의 초·중등학교 연계 봉사활동 사례 연구: 로버스카우트 제도의 교육봉사활동으로서의 가능성 탐색

Objectives This study aims to explore the potential of the Rover Scout program as an educational volunteer activity by analyzing the experiences of university students who are Rover Scouts affiliated with the Korea Scout Association. These students participated in volunteer activities, guiding students during school field trips in ele-mentary and secondary schools. Methods To achieve this, a qualitative case study was conducted on the volunteer activities of university students who are Rover Scouts. These activities were carried out in collaboration with elementary and secondary schools under the jurisdiction of a local educational office (both entities are anonymized as A Association and A Educational Office, respectively). In-depth interviews and participant observations were conducted with five university stu-dents and graduates who voluntarily continued to perform over 100 hours of volunteer work for more than a year, even after fulfilling their graduation requirements. Results The participants gained diverse experiences in guiding students during activities outside the classroom, which were often in unstable environments. Due to the systematic volunteer management system centered around A Association, the participants were able to sustain their volunteer activities for an extended period, which enhanced their understanding of students and nurtured their aspirations to become teachers. However, they also faced challenges, such as a lack of support from their universities and the absence of clear boundaries regarding the role of Rover Scouts in volunteer work. Conclusions The Rover Scout activities, as analyzed in this study, were consistent with the purposes and content of educational volunteer activities. Moreover, these activities contributed to developing essential skills and expe-riences, such as knowledge related to organizing field trips and managing student behavior, which are crucial for teachers but difficult to acquire through traditional teacher training programs. Based on these findings, the study suggests implications for improving university volunteer programs and the Rover Scout system to enhance the quality of volunteer activities.

Vascular occlusion for optimising the functional improvement in patients with knee osteoarthritis: a randomised controlled trial.

Knee osteoarthritis (KOA) is a leading cause of global disability with conventional exercise yielding only modest improvements. Here we aimed to investigate the benefits of integrating blood flow restriction (BFR) into traditional exercise programmes to enhance treatment outcomes. The Vascular Occlusion for optimizing the Functional Improvement in patients with Knee Osteoarthritis randomised controlled trial enrolled 120 patients with KOA at Ghent University Hospital, randomly assigning them to either a traditional exercise programme or a BFR-enhanced programme over 24 sessions in 12 weeks. Assessments were conducted at baseline, 6 weeks, 12 weeks and 3 months postintervention using linear mixed models with Dunn-Sidak corrections for multiple comparisons. Primary outcome was the Knee injury and Osteoarthritis Outcome Score (KOOS) questionnaire at 3 months follow-up with knee strength, Pain Catastrophizing Scale questionnaire and functional tests as secondary outcomes. Analysis followed an intention-to-treat approach (NCT04996680). The BFR group showed greater improvements in KOOS pain subscale (effect size (ES)=0.58; p=0.0009), quadriceps strength (ES=0.81; p<0.0001) and functional tests compared with the control group at 12 weeks. At 3 months follow-up, the BFR group continued to exhibit superior improvements in KOOS pain (ES=0.55; p=0.0008), symptoms (ES=0.59; p=0.0004) and quality of life (QoL) (ES=0.66; p=0.0001) with sustained benefits in secondary outcomes. Drop-out rates were similar in both groups. Incorporating BFR into traditional exercise programmes significantly enhances short-term and long-term outcomes for patients with KOA demonstrating persistent improvements in pain, symptoms, QoL and functional measures compared with conventional exercise alone. These findings suggest that BFR can provide the metabolic stimulus needed to achieve muscle strength and functional gains with lower mechanical loads. Reduced pain and increased strength support a more active lifestyle, potentially maintaining muscle mass, functionality and QoL even beyond the supervised intervention period. NCT04996680.

Efficacy of a Multimodal Digital Behavior Change Intervention on Lifestyle Behavior, Cardiometabolic Biomarkers, and Medical Expenditure: Protocol for a Randomized Controlled Trial.

The US Preventive Services Task Force recommends providers offer individualized healthy behavior interventions for all adults, independent of their risk of cardiovascular disease. While strong evidence exists to support disease-specific programs designed to improve multiple lifestyle behaviors, approaches to adapting these interventions for a broader population are not well established. Digital behavior change interventions (DBCIs) hold promise as a more generalizable and scalable approach to overcome the resource and time limitations that traditional behavioral intervention programs face, especially within an occupational setting. We aimed to evaluate the efficacy of a multimodal DBCI on (1) self-reported behaviors of physical activity, nutrition, sleep, and mindfulness; (2) cardiometabolic biomarkers; and (3) chronic disease-related medical expenditure. We conducted a 2-arm randomized controlled trial for 12 months among employees of an academic health care facility in the United States. The intervention arm received a scale, a smartphone app, an activity tracker, a video library for healthy behavior recommendations, and an on-demand health coach. The control arm received standard employer-provided health and wellness benefits. The primary outcomes of the study included changes in self-reported lifestyle behaviors, cardiometabolic biomarkers, and chronic disease-related medical expenditure. We collected health behavior data via baseline and quarterly web-based surveys, biometric measures via clinic visits at baseline and 12 months, and identified relevant costs through claims datasets. A total of 603 participants were enrolled and randomized to the intervention (n=300, 49.8%) and control arms (n=303, 50.2%). The average age was 46.7 (SD 11.2) years, and the majority of participants were female (80.3%, n=484), White (85.4%, n=504), and non-Hispanic (90.7%, n=547), with no systematic differences in baseline characteristics observed between the study arms. We observed retention rates of 86.1% (n=519) for completing the final survey and 77.9% (n=490) for attending the exit visit. This study represents the largest and most comprehensive evaluation of DBCIs among participants who were not selected based on their underlying condition to assess its impact on behavior, cardiometabolic biomarkers, and medical expenditure. ClinicalTrials.gov NCT04712383; https://clinicaltrials.gov/study/NCT04712383. RR1-10.2196/50378.

Effect of high intensity in every set on strength gains in novice lifters: a randomized controlled trial

Background and Study Aim. Effective program design is essential for maximizing adaptation by balancing strength gains, minimizing stress, and enhancing recovery. However, it remains unclear whether training at high intensity in every set is necessary for optimal strength gains. This study compares the effects of two distinct 6-week resistance training programs on maximum strength in novice lifters. Material and Methods. Twenty participants were recruited and randomly assigned to either the traditional strength program (TSP) or the combined strength program (CSP), both periodized to increase the number of sets every 2 weeks over a total of 6 weeks. A two-way ANOVA was used to analyze maximum isometric strength, maximum dynamic strength, and strength ratio differences between groups and over time. Results. The results showed significant increases in maximum isometric knee extension and elbow flexion strength for both the TSP (CI 95% = 55.87-99.92 N and CI 95% = 10.93-26.86 N, respectively) and the CSP (CI 95% = 43.32-111.42 N and CI 95% = 8.54-28.96 N, respectively). Similarly, maximum dynamic knee extension and elbow flexion strength also improved significantly in both programs (knee extension: TSP CI 95% = 8.16-17.24 kg and CSP CI 95% = 9.10-28.32 kg; elbow flexion: TSP CI 95% = 6.74-11.26 kg and CSP CI 95% = 3.05-10.70 kg). Additionally, strength ratios increased significantly in both the TSP (knee extension CI 95% = 0.87-1.36 N/kg and elbow flexion CI 95% = 0.15-0.42 N/kg) and the CSP (knee extension CI 95% = 0.68-1.59 N/kg and elbow flexion CI 95% = 0.14-0.39 N/kg) from baseline. Conclusions. Both training programs led to significant increases in maximum strength metrics. Novice practitioners did not need to train at high intensity in every set to achieve substantial strength gains. This was particularly evident during the early weeks of training, when recovery and adaptation are critical.

The effectiveness of the physical education curriculum following the Sports Club model on the physical development of high school students in Vietnam

Background and Study Aim. The physical development of high school students is often hindered by the limitations of traditional physical education programs, which may not fully engage students or promote balanced physical growth. In light of these concerns, the need to explore alternative educational models that can enhance students' physical development has become evident. The purpose of this article is to evaluate the potential effectiveness of a physical education curriculum following the Sports Club model in improving the physical development of high school students. Material and Methods. A total of 84 female 10th-grade students participated in the study. They were divided into two groups: an experimental group of 42 students following the Sports Club model and a control group of 42 students following the current physical education curriculum. The experiment lasted for 17 weeks. Both groups completed initial and final physical fitness tests. These tests included the 30-second sit-up test (to assess core strength), the 30-meter sprint test (to measure speed), the 4 × 10-meter shuttle run test (to evaluate agility), the standing long jump test (to measure explosive leg power), and the 5-minute running field test (to assess endurance). Results. The female students in the experimental group demonstrated greater physical development compared to the control group in all five assessment tests. The experimental group showed the most significant improvement in the 30-second sit-up test, with a growth rate of 26.71%. The lowest growth was observed in the 5-minute running field test, at 9.92%. In contrast, the control group showed its highest improvement in the 30-second sit-up test, with a growth rate of 9.44%. However, there was minimal to no improvement in the 4 × 10-meter shuttle run and the 5-minute running field test for the control group. Conclusions. The Sports Club model improved students' physical fitness more effectively compared to the current curriculum, offering greater benefits in all tested areas. It is recommended that teachers further integrate and refine the implementation of the Sports Club model in future physical education programs to enhance teaching effectiveness.

Effects of Block-Based Visual Programming on K-12 Students’ Learning Outcomes

Computer programming is regarded as an important skill for the future. However, many K-12 students face challenges and difficulties in learning traditional text-based programming. Block-based visual programming (BVP) can reduce the difficulty of learning programming and is seen as a potential programming education tool. Nevertheless, the effects of BVP on K-12 student learning outcomes remain unclear, and there is no evidence of meta-analysis. This is the first meta-analysis that aims to examine the effects of BVP on K-12 students’ learning based on 42 effect sizes from 29 independent experimental studies (2000–2023). The result suggests that BVP has an upper-medium effect on learning ( SMD = 0.769, 95% CI = [0.554, 0.984], p &lt; .001), particularly in the cognitive outcome ( SMD = 0.698, p &lt; .001). Moreover, the BVP tool, study design, and region have moderating effects. The BVP’s effects are larger when: (1) with 61∼100 students, (2) for junior high school, (3) with the learning duration of &gt;1 month, (4) targeting math, (5) among novice students, (6) using Scratch, ScratchJr, Alice, and App Inventor, (7) employing project-based learning and project-based + game-based learning, (8) base on quasi-experimental design, (9) in Africa and Europe, (10) with latter publication years. Finally, discussions, implications, limitations, and future directions are put forward.

Balancing Athletic and Academic Excellence: A Quantitative Study of Student-Athletes' Time Management Strategies

This study focuses on the unique challenges faced by student-athletes and explores how they find a balance between competitive sports and academic pursuits. Through a one-year longitudinal study of 360 college athletes from a variety of sports and academic backgrounds, we deeply analyzed the relationship between time management strategies and academic achievement, athletic performance, and psychological health. The study used quantitative research methods to analyze the data and revealed several key time management strategies that were associated with significant improvements in academic and athletic performance. In particular, we discovered a novel "flexible focus" strategy that enabled students to quickly switch their attention between learning and training while maintaining high efficiency. In addition, the study found the moderating effects of social media use, sleep patterns, and nutritional intake on time management effects. Based on these findings, we proposed a comprehensive "dual-track development model" to provide a practical guidance framework for student-athletes, coaches, and educators. This model is not only applicable to traditional college sports programs, but also considers the emerging field of e-sports, providing a new perspective for understanding and supporting the comprehensive development of student-athletes in the 21st century. The results of this study have important implications for higher education policy, athletic training program design, and the development of student support services, providing an empirical basis for promoting the comprehensive development of student-athletes.

FlawCheck: Detecting Smart Contract Vulnerabilities Based on Symbolic Execution

ABSTRACTSmart contracts are turing‐complete computer programs running on blockchains. Like traditional programs, smart contracts are also vulnerable. However, unlike traditional programs, it is very difficult to modify smart contracts once they are deployed on the blockchain. Therefore, reducing potential vulnerabilities in contracts before deployment to the blockchain is very important. The existing smart contract detection tools mostly fail to fully consider the complex control flow relationships within smart contracts, leading to false positives and false negatives. To address these problems, we propose FlawCheck, a vulnerability detection tool based on symbolic execution. First, it compiles smart contract source code into bytecode. Then, it disassembles bytecode into an opcode sequence, building the dependencies of contract control flow. Next, it performs preliminary analysis on the information generated during the simulated execution on the Ethereum virtual machine to identify suspicious vulnerability paths. Finally, it detects these suspicious paths by using symbolic execution. We verified that FlawCheck can detect five types of smart contract vulnerabilities. Experimental results on a dataset of 13016 real contracts shows that FlawCheck has higher accuracy than other tools.

Real-Time Collaborative Programming in Undergraduate Education: A Comprehensive Empirical Analysis of Its Impact on Knowledge, Behaviors, and Attitudes

Real-time collaborative programming (RCP), which allows multiple programmers to work concurrently on the same codebase with changes instantly visible to all participants, has garnered considerable popularity in higher education. Despite this trend, little work has rigorously examined how undergraduates engage in collaborative programming when using RCP. This study utilized a quasi-experimental design to investigate the impact of RCP on undergraduates’ programming knowledge and skills, behaviors, and attitudes toward collaboration. Eighty-two participants were randomly assigned to either the RCP group or the Traditional Collaborative Programming (TCP) group. The data analysis yielded noteworthy findings. First, RCP significantly improved learners’ problem-solving skills and led to higher knowledge test scores compared to TCP. Second, there were no significant differences in attitudes toward collaboration between the two groups. Third, analysis of programming behaviors indicated that the RCP group exhibited more efficient coding practices, including producing a greater volume of code and executing it more successfully. Additionally, the RCP group’s code-testing activities were predominantly concentrated at the first half of the class sessions. Based on the empirical research results, three major pedagogical implications were proposed. These findings highlight the benefits of integrating RCP into programming education and suggest avenues for future research into collaborative learning dynamics.

Hey Building! Novel Interfaces for Parametric Design Manipulations in Virtual Reality

Parametric Design enables designers to formulate and explore new ideas through parameters, typically by manipulating numerical values. However, visualising and exploring the design space of an established parametric design solution is natively difficult through desktop displays for designers due to screen space constraints and requiring familiarity with visual-language programming interfaces. Thus, we sought to explore Virtual Reality (VR), inspired by Natural User Interfaces (NUI), to develop and explore new interfaces departing from traditional programming interfaces, that could complement the spatial and embodied affordances of contemporary VR devices. Informed by two industry-led focus groups with architects we developed and examined the usability of three different interfaces: 1) Paramaxes , an axes-based interface that allows designers to distribute and manipulate parameter visualisations around them in physical space; 2) ParamUtter , a Voice-based User Interface (VUI) that allows designers to manipulate parameter visualisations through natural languages; 3) Control Panel , which presents the parameters as sliders in a scrollable pane and acts as baseline comparison. We ran an exploratory study with experts and found that the Control Panel was ultimately the preferred interface for a design manipulation task. However, participants commented favorably towards qualities in the unconventional interfaces, with ParamUtter scoring highest in System Usability Scores (SUS), and participants valuing the potential of using physical space to explore design spaces with Paramaxes .

Selection of aerodynamic characteristics and engine parameters of a maneuverable aircraft under epistemic uncertainty

At the preliminary stage of aircraft design, it is usually required to solve the problem of insufficient initial data for applying traditional algoristic-type mathematical programming models. In many cases, numerous input parameters cannot be accurately specified at the time of making design decisions. If the inaccuracy of parameters is not taken into account, the actual values of target functions may differ significantly from the calculated ones when solving optimization problems. In this regard, the issue of current interest is the development of algorithms to improve the reliability of design decisions under conditions of epistemological uncertainty when experts engage in the formation of initial data. The paper considers the problem of selecting aerodynamic characteristics and engine parameters of maneuverable aircraft under conditions of uncertainty associated with inaccuracy of expert data. The applied problem under consideration is further complicated by the necessity to include “black box” models in the algorithms being developed. The paper proposes algorithms that apply the uncertainty theory together with “black box” models that implement optimization calculation techniques derived from previous engineering practice of aircraft design. Using these algorithms, experts are able to set uncertain parameters whereby the lack of data is factored in using uncertainty distribution functions. In cases of monotonicity of uncertain parameters in target functions, application of the uncertainty theory provides a significant reduction in computational costs compared to the method of statistical modeling in optimization calculations. The paper presents the results of computational studies of the developed algorithms. A genetic algorithm (mathematical optimization solver) is used to optimize the search for design solutions. Pareto frontiers are obtained for different confidence levels enabling to make design decisions including values of aerodynamic characteristics and engine parameters of maneuverable aircraft.

Using Continuous Online Assessment of Learning Outcomes for Grading: A Case Study

In recent years, the problem of the number of students enrolled in STEM courses falling below the minimum required to carry out the courses has worsened. This situation, which used to occur primarily in degree programs at the end of their life cycle, is increasingly happening in active STEM degree programs as well. The declining attractiveness of traditional STEM degree programs and negative demographic trends are seen as the main causes of this problem. To assist students and their teachers in this situation, a novel approach to grading student work based on the level at which students achieve learning outcomes in an online system was explored. Since the focus was on STEM students, math-based tasks were used to assess student knowledge within the online system. In addition to the accuracy of the final results of the tasks, the accuracy of the intermediate results was also monitored. Each result was linked to the corresponding concepts, which in turn were linked to the corresponding learning outcomes. By entering correct intermediate and final results, the online system was able to monitor student success in mastering concepts and learning outcomes. The implemented online system utilizes fuzzy inference to calculate the levels at which students have achieved the learning outcomes. These levels are continuously recalculated during the semester and presented to the students through generated recommendations after each solved task. The proposed approach has positively impacted students’ motivation to learn during the semester, as confirmed by an anonymous questionnaire. Additionally, the results have shown that the final level at which students have achieved the learning outcomes within the online system, calculated at the end of the semester, can be used for grading and is comparable to the grades students would achieve in traditional midterm and final exams, thus helping teachers with their workload.

Restless sleep is associated with increased anxiety in physical therapy students: a cross sectional survey study

BackgroundSleep and mental health are intimately related and shown to impact graduate students enrolled in health sciences programs, including physical therapy education. Doctorate of Physical Therapy (DPT) students’ attitudes and behaviors surrounding sleep and whether these factors are associated with mental health are unknown. This study aimed to describe sleep behaviors and attitudes of entry-level DPT students and to explore the relationship between subjectively reported sleep quality and self-reported symptoms of anxiety in these students.MethodsA cross-sectional online survey consisting of the Sleep Practices and Attitudes Questionnaire (SPAQ), the Generalized Anxiety Disorder-7 (GAD-7) questionnaire, and demographic questions were used. Analyses investigated sleep behaviors and attitudes, along with the relationship (unadjusted odds ratio) between restless sleep and anxiety in DPT students in hybrid and traditional DPT programs across the United States (US).ResultsA total of 271 DPT students completed the survey. A majority of students reported feeling tired during most days (80.8%, n = 219), a quarter of participants (24.7%) reported having a history of trouble sleeping and four (1.5%) reported being diagnosed with a sleep disorder. Of those who reported their sleep duration, participants slept an average of 6.86 h. The mean GAD-7 score was 7.68 (SD = 4.90), suggestive of mild anxiety. Sixty-seven (24.7%) reported having a diagnosed anxiety disorder, with generalized anxiety being the most common diagnosis. Those who reported having restless sleep were 4.09 times more likely to have moderate to severe anxiety [unadjusted odds ratio = 4.09 (95% CI 2.27,7.35; p < 0.001)] compared to those who reported restful sleep.ConclusionsDPT students who rated sleep as restless exhibit signs of poor subjective sleep quality associated with an increased risk of experiencing moderate to severe anxiety compared to students who had restful sleep. Students reported behaviors surrounding sleep that may contribute to anxiety. These findings have implications for including sleep and mental health education and practices within DPT programs.

Formation of a healthy lifestyle of high school students using the «Fitness Mix» means

The article analyzes the importance of developing a healthy lifestyle among high school girls and the role of the "Fitness Mix" methodology in this process. The study explores the use of "Fitness Mix" as an innovative tool for enhancing physical activity levels, improving performance, and promoting overall health among adolescents. It emphasizes how combining different types of physical activities, such as aerobics, strength training, and stretching, can be integrated into physical education classes to achieve comprehensive results. In addition to physical exercises, the article highlights the importance of the theoretical component, which includes principles of healthy eating, regular sleep and rest routines, prevention of harmful habits, and maintaining mental health. Special attention is given to the analysis of scientific research and practical examples that confirm the effectiveness of using fitness technologies in schools. Alternatives to traditional modular physical education programs are discussed, broadening the opportunities for educating and developing adolescents. The study emphasizes the need to consider individual student characteristics when designing exercise programs, ensuring optimal results and maintaining motivation for regular physical activity. The article also provides recommendations for educators and trainers on implementing «Fitness Mix» into the school curriculum to promote the development of sustainable healthy lifestyle habits among youth. A range of examples is analyzed regarding the combination of different types of physical activity, specifically aerobics, strength exercises, stretching, etc., with an additional focus on important aspects such as healthy eating principles, sleep and rest routines, prevention of harmful habits, and mental health preservation. The importance of considering the individual characteristics of students when designing exercise programs is underscored.

A WeChat platform program (WCPP) for full-process management of patients with cardiac valve interventional surgery based on psycho-cardiology: protocol of a mixed-method study

BackgroundValvular heart disease is the third most common cardiovascular disease; it significantly diminishes patients’ quality of life and imposes burdens on individuals, families, and healthcare systems. In recent years, psycho-cardiology has emerged as a prominent field in which to explore the link between mental illness and heart disease. This mixed-method study aims to assess the effectiveness of the WCPP, which includes hospital-to-home transitional care, remote intelligent monitoring, and decision aids, in improving the physical and mental health of patients.MethodsA mixed-method study was conducted at a cardiac valve interventional surgery (CVIS) center in Southwest China. A total of 154 CVIS patients participated, with the intervention group receiving the WCPP and the control group following the traditional CVIS management program. Both groups were followed up at 1, 3, 6, and 12 months. The primary outcome is measured via the Chinese version of the 36-item Short Form Health Survey (SF-36). The Secondary outcomes included the 6-min walk test (6MWT), modified Barthel index (MBI), major adverse cardiovascular events (MACE), patient satisfaction, and length of hospital stay (LOS). Additionally, qualitative research will assess the psychological state and experiences of the patients.DiscussionOur study is one of the few involving patients with CVIS and the first to apply psycho-cardiology through a full-process management platform. The study population is predominantly from Southwest China and includes a diverse range of demographic and socioeconomic backgrounds. Upon completion, this study will provide valuable insights into the use of a remote, full-process management platform for CVIS patients.Trial registrationChinese Clinical Trial Registry ChiCTR2400081052. Registered on 21 February 2024. The trial complies with the SPIRIT and CONSORT guidelines.

Prescribing strength training for stroke recovery: a systematic review and meta-analysis of randomised controlled trials

ObjectiveTo examine the effects of strength training on patient-important outcomes of stroke recovery and to quantify the influence of the exercise prescription on treatment effects.DesignSystematic review and meta-analysis.Data sourcesEight electronic...

Effectiveness of a virtual reality triage simulation program for nursing students: A mixed-methods study

AimsTo examine the effectiveness of a virtual reality simulation (VRS) triage in improving students’ learning motivation, attitudes, satisfaction and learning experiences in an emergency nursing course. BackgroundVR facilitates the realization of clinical scenarios that are significant for teaching emergency nursing. Triage presents a unique challenge in emergency nursing courses, where practical learning opportunities are seldom available. DesignThe study employed a convergent parallel mixed-methods design. MethodsA total of 164 third-year nursing students were recruited from an emergency nursing course. The experimental group of 73 students participated in a VRS triage program and the control group of 91 students received a traditional program based on written case studies. The learning outcomes were evaluated using the Attention, Relevance, Confidence and Satisfaction motivational learning inventory together with questionnaires on learning attitudes and satisfaction. Qualitative data were collected through phenomenographic interviews. ResultsThe learning outcomes from the experimental group showed significant improvement in motivational learning inventory scores, with the greatest increase in satisfaction, followed by confidence, attention and relevance. Qualitative interviews with 30 students revealed four main themes in their learning experiences: “reflecting a real-world clinical environment,” “enabling the internalization of knowledge,” “enhancing clinical skills proficiency,” and “cultivating a positive attitude toward patient care.” The core theme was the establishment of professional core competency. ConclusionsVRS learning shows positive outcomes in enriching students’ learning experiences. This study contributes to the literature on the use of VR technology in nursing education by offering insights into the effectiveness of VRS learning.

Effect of Pilates exercises on pulmonary function, respiratory muscle strength, and functional capacity in patients with inhalation injury after flame thermal burn: A prospective randomized controlled trial

BackgroundInhalation injury is an acute respiratory tract injury that occurrs by inhalation of smoke, toxic gases, or steam. Early management is needed to reduce its mortality and morbidity. The purpose of this study was to ascertain whether Pilates training could help burn patients with inhalation injury after flame thermal burn in increasing pulmonary function, respiratory muscle strength, and functional ability. MethodsIn this prospective, randomized, controlled trial, sixty participants (26 males and 34 females) with inhalation injury and deep partial-thickness flame burns of 30–40 % total body surface area (TBSA) were randomized in blocks of four, with a 1:1 allocation ratio into two groups: Group A (Pilates Group); received Pilates training plus conventional physical therapy program, and Group B (Control Group); received conventional physical therapy program only. This study was conducted at the Faculty of Physical Therapy's outpatient clinic, Cairo University, 3 sessions/week for 12 weeks. The primary outcome measure was the forced vital capacity (FVC) measured by a spirometer, while the secondary outcome measures were peak expiratory flow rate (PEFR), forced expiratory volume in 1 s (FEV1), FEV1/FVC% assessed by a spirometer, strength of respiratory muscles (maximum inspiratory pressure (MIP) and maximum expiratory pressure (MEP) assessed by the digital manovacuometer, and the functional capacity evaluated by 6-Minute Walk Test (6-MWT). ResultsA two-way mixed-design MANOVA was used to analyze the results within and between groups. There were no significant differences in demographic data between groups (P > 0.05). There were significant differences in all variables after treatment in group A compared with group B; FVC (95 % CI: 0.38, 1.13) (P = 0.001), FEV1 (95 % CI: 0.39, 0.97) (P = 0.001), FEV1/FVC % (95 % CI: 1.90, 17.19) (P = 0.02), PEFR (95 % CI: 0.47, 0.99) (P = 0.001), MIP (95 % CI: 5.12, 11.44) (P = 0.001), MEP (95 % CI: 2.57, 8.24) (P = 0.001), 6-MWT (95 % CI: 27.22, 54.96) (P = 0.001), FVC (% predicted) (95 % CI: 3.58, 12.58) (P = 0.001), FEV1 (% predicted) (95 % CI: 1.21, 11.11) (P = 0.02), PEFR (% predicted) (95 % CI: 1.33, 10.83) (P = 0.01), MIP (% predicted) (95 % CI: 2.26, 11.72) (P = 0.001) and MEP (% predicted) (95 % CI: 1.33, 10.37) (P = 0.01). ConclusionThe current study demonstrated that a Pilates exercise program in addition to a traditional physical therapy program for 12 weeks significantly improved the pulmonary function (FVC, FEV1, PEFR and FEV1/FEV), strength of respiratory muscles (MIP and MEP), and functional capacity (6-MWT) in patients with inhalation injury after flame burns. These results underscore the importance of including Pilates exercises in the rehabilitation plan for burn patients with inhalation injury. Future studies are needed to evaluate the effect of Pilates exercises on other degrees and TBSA of burn, long-term follow up, and to measure cardiopulmonary parameters.

A Discussion Related to the Impact of Incorporating Standardised Individualised Strength Training in the Physical Education Curriculum of Colleges and Universities on the Mental Health of College Students

This study explores the far-reaching impact of standardised personalised strength training on college students' mental health. With the continuous improvement of the comprehensive quality requirements for college students in modern society, mental health problems have gradually come to the forefront and become an important issue to be solved in the field of higher education. Traditional physical education programmes tend to be designed and implemented in a ‘one-size-fits-all’ teaching mode, ignoring the significant differences between students in terms of physical condition, athletic ability and interest preferences. This neglect not only limits the overall development of students' physical abilities, but may also adversely affect their mental health. In response to this challenge, standardised and individualised strength training has been developed. The core of this approach is ‘personalisation’, i.e., a training programme that is tailored to the specific needs of each student. The individualised training programme not only takes into account the student's physical condition and athletic ability, but also respects their preferences. In this way, students are able to train at an intensity and tempo that suits them, thus improving the training effect and reducing the risk of sports injuries.

When Your Infrastructure Is a Buggy Program: Understanding Faults in Infrastructure as Code Ecosystems

Modern applications have become increasingly complex and their manual installation and configuration is no longer practical. Instead, IT organizations heavily rely on Infrastructure as Code (IaC) technologies, to automate the provisioning, configuration, and maintenance of computing infrastructures and systems. IaC systems typically offer declarative, domain-specific languages (DSLs) that allow system administrators and developers to write high-level programs that specify the desired state of their infrastructure in a reliable, predictable, and documented fashion. Just like traditional programs, IaC software is not immune to faults, with issues ranging from deployment failures to critical misconfigurations that often impact production systems used by millions of end users. Surprisingly, despite its crucial role in global infrastructure management, the tooling and techniques for ensuring IaC reliability still have room for improvement. In this work, we conduct a comprehensive analysis of 360 bugs identified in IaC software within prominent IaC ecosystems including Ansible, Puppet, and Chef. Our work is the first in-depth exploration of bug characteristics in these widely-used IaC environments. Through our analysis we aim to understand: (1) how these bugs manifest, (2) their underlying root causes, (3) their reproduction requirements in terms of system state (e.g., operating system versions) or input characteristics, and (4) how these bugs are fixed. Based on our findings, we evaluate the state-of-the-art techniques for IaC reliability, identify their limitations, and provide a set of recommendations for future research. We believe that our study helps researchers to (1) better understand the complexity and peculiarities of IaC software, and (2) develop advanced tooling for more reliable and robust system configurations.