Analytical Program Research Articles

A Comparative Study Using an Analytical Program for the Effectiveness of the Performance of the Sending and Receiving Skills of Female Premier League Volleyball Players

ارتأت الباحثتان أجراء دراسة مقارنة لمستوى فاعلية الاداء لمهارتي الارسال واستقبال الارسال للاعبات الأندية المشاركة في الدوري العراقي للممتاز بالكرة الطائرة للنساء باستخدام برنامج تحليلي لغرض الكشف عن نقاط القوة والضعف ومن خلال متابعة الباحثتان لمباريات الدوري العراقي الممتاز بالكرة الطائرة لفئة المتقدمات وأيضا كون احدى الباحثتان لاعبة في أحد اندية الدوري العراقي الممتاز بالكرة الطائرة وجدتا ان هناك ضعف في مستوى فاعلية الاداء لبعض المهارات الفنية وهي مهارتي الارسال واستقبال الارسال حيث هنالك تفاوت بين نادي واخر وكذلك بين لاعبة وأخرى واستخدمت الباحثتان المنهج الوصفي بأسلوب الدراسة المقارنة والتحليلية لملائمته لمشكلة البحث في حين حددت الباحثتان مجتمع البحث بالفرق المشاركة في الدوري العراقي الممتاز بالكرة الطائرة للموسم الرياضي 2021-2022 وعددها 10 اندية في حين اختيرت عينة البحث من الفرق المتاهلة الى الدور النصف النهائي في الدوري العراقي الممتاز بالكرة الطائرة للسيدات للموسم الرياضية 2021-2022 حيث بلغ عدد الأندية المتأهلة (4) وهي (اكاد عينكاوة، افروديت، سنحاريب، قرقوش) وبهذا بلغت النسبة المئوية لعينة البحث 40 % أذ تم تحليل المباريات بأستخدام البرنامج الاحصائي الاكثر شهرة عالمياً Data volley واستنتجت الباحثتان ظهور فروق معنوية في مستوى فاعلية الأداء المهاري لمهارة الارسال لصالح اندية (افروديت، قرقوش، اكاد عينكاوة) وعدم ظهور فروق معنوية في مستوى فاعلية الأداء لمهارة الارسال لنادي سنحاريب وظهور فروق معنوية في مستوى فاعلية الأداء المهاري لمهارة استقبال الارسال لصالح اندية (قرقوش، افروديت، سنحاريب) وعدم ظهور فروق معنوية في مستوى فاعلية الأداء استقبال الارسال لنادي اكاد عينكاوة. واوصت الباحثتان ب ضرورة اعتماد مبدأ التقويم الموضوعي في كل مرحلة من مراحل التدريب المختلفة وفي مرحلة المنافسات بانتقاء اختبارات مقننة وبرامج تحليلية للمهارات الهجومية لمتابعة فاعلية الأداء المهاري ومعالجة تذبذبها في الأوقات المناسبة والتأكيد على تنمية القابليات الخططية لترابطها الوثيق مع القابليات البدنية والمهارية . وهذا ما يحقق احد اهداف التنمية المستدامة للامم المتحدة في العراق (التعليم الجيد).

Evaluating Multi-Criteria Decision-Making Methods for Sustainable Management of Forest Ecosystems: A Systematic Review

Multi-criteria decision-making (MCDM) methods provide a framework for addressing sustainable forest management challenges, especially under climate change. This study offers a systematic review of MCDM applications in forest management from January 2010 to March 2024. Descriptive statistics were employed to analyze trends in MCDM use and geographic distribution. Thematic content analysis investigated the appearance of MCDM indicators supplemented by Natural Language Processing (NLP). Factorial Correspondence Analysis (FCA) explored correlations between models and publication outlets. We systematically searched Web of Science (WoS), Scopus, Google Scholar, Semantic Scholar, CrossRef, and OpenAlex using terms such as ‘MCDM’, ‘forest management’, and ‘decision support’. We found that the Analytical Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) were the most commonly used methods, followed by the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), the Analytic Network Process (ANP), GIS, and Goal Programming (GP). Adoption varied across regions, with advanced models such as AHP and GIS less frequently used in developing countries due to technological constraints. These findings highlight emerging trends and gaps in MCDM application, particularly for argan forests, emphasizing the need for context-specific frameworks to support sustainable management in the face of climate change.

Influence of Preexisting Conditions and Concussion History on Postconcussion Symptom Severity and Recovery Time in Collegiate Athletes.

Mental health conditions and concussion history reported by a collegiate athlete may contribute to prolonged recovery and symptom severity after concussion. This work examined the potential associations among concussion history, preexisting conditions, and sex relative to initial symptom severity and recovery duration following sport-related concussion (SRC) in a cohort of Division 1 National Collegiate Athletic Association athletes. This prospective cohort study analyzed symptom severity, recovery, and return-to-play (RTP) times reported post-SRC using data collected as part of the Pac-12 Concussion Assessment, Research and Education Affiliated Program and Health Analytics Program. Health history questionnaires that included self-reported history of preexisting conditions were completed at baseline. When consented athletes were diagnosed with a concussion, daily postconcussion symptom scores were evaluated until an athlete was clinically determined to be asymptomatic. Generalized linear and Cox proportional hazards models were used to determine associations between preexisting conditions and recovery and RTP times. Ninety-two concussions met inclusion criteria. Notable differences in initial symptom severity existed between females and males who had mood disorders (effect size [d] = 0.51) and attention-deficit hyperactivity disorder (ADHD; d = 0.93). The number of previous concussions was a strong predictor of athletes reporting preexisting mood disorders, depression, anxiety, and ADHD (p = 0.008-0.04). Females with ≥2 previous concussions required more days to RTP than males (d = 0.31-0.72). Weekly recovery and RTP probabilities substantially differed between athletes who did or did not have learning disorders (LDs; hazard ratio [HR]Recovery = 0.32, HRRTP = 0.22, d = 1.96-2.30) and ADHD (HRRecovery = 3.38, HRRTP = 2.74, d = 1.71-4.14). Although no association existed between concussion history and acute symptom severity, collegiate athletes with a history of concussion had higher probabilities of reporting depression, mood disorders, anxiety, and ADHD. Having ADHD or LDs likely strongly affects time to recovery and RTP for collegiate athletes.

New data about the provenance of the Early Eneolithic copper artefacts from western Lesser Poland

Abstract The Early Eneolithic period in Lesser Poland is represented by the Lublin-Volhynian culture and the Wyciąże-Złotniki group. For both of them, the main cultural references were the Middle Copper Age groups from the Carpathian Basin (the Bodrogkeresztúr, the Hunyadihalom-Lažňany, the Balaton-Lasinja cultures, as well as the Ludanice, and the Bajč-Retz-Gajary groups). One of the most important indicators of the Transcarpathian influence was the use of various copper objects by local communities and their deposition in graves. A set of seventeen objects, mostly from well-dated grave contexts, was analysed to establish the provenance of the copper artefacts used in western Lesser Poland. This set included artefacts discovered in Złota Grodzisko I and Grodzisko II, Książnice 2, Koniecmosty, Kraków-Wyciąże 5 and Kraków-Cło 7. Energy dispersive X-ray fluorescence analysis was used to study the chemical compositions, while lead isotope ratios were determined using a inductively coupled plasma mass spectrometer (HR-MC-ICP-MS). In addition, some of the objects were visually inspected under a digital microscope to determine how they were made and used. As a result of this analytical programme, it was possible to establish that both Lesser Poland groups used the same copper distribution networks. Initially (c. 4050–3950 BC), the copper originated from the mines in Serbia that at the time were controlled, as suggested in the literature, by the peoples of the Bodrogkeresztúr culture, and also from the mines in the Slovak ore Mountains, linked to the Ludanice group. It appears, however, that from c. 3950 BC onwards, the only source of metal for the production of copper objects used by the inhabitants of western Lesser Poland were the mines located in the Slovak Ore Mountains. This research also suggested that, while around 3950–3800 BC, there was a marked regression in the production and use of copper artefacts in the Carpathian Basin, in the area of western Lesser Poland there was an increase in the use and, most likely, local production of original copper jewellery.

Delta Coverage: The Analytics Journey to Implement a Novel Nurse Deployment Program

This paper introduces the Delta Coverage (DC) analytics program, an innovative solution to address the nursing shortage crisis. The program designs a new flexible nursing role supported by an accompanying analytics model for dynamic nurse staffing. Using advanced data analytics, the DC program dynamically allocates flexible nurses across multiple hospitals in response to geographical and temporal nurse demand variability. The DC analytics suite integrates a nurse-demand forecast using a deep generative model and a stochastic optimization for optimal on-call and deployment decisions. A pilot study demonstrated that the DC program reduced understaffing incidents by 17% compared to traditional travel nurse solutions, with projected annual savings of $2.5 million for the partner hospital and over $1.5 billion nationally. These results highlights the potential of the DC analytics program to transform nurse staffing practices on a broader scale.

An anatomical study of the nasal foramina.

The nasal foramen is located in the nasal bone and for vessels passage to supply the nasal area. This project aimed to establish reliable references for the nasal foramina for future clinical applications. The 72 dried skulls, 46 from the Division of Anatomy, University of Phayao, Thailand, and 26 from the Tulane University School of Medicine, USA, were collected and examined. The location, number, and sizes of nasal foramina were noted. The distances from each nasal foramen to the internasal suture, frontonasal suture, nasomaxillary suture, nasion, and rhinion were also recorded and used in the statistical analytical programs. The most common type of nasal foramen in all skulls was type II (one external opening) at 65.97%, followed by type I (no foramen opening) at 20.83%, type III (two external openings) at 11.11% and type IV at 2.08% (three external openings). Nasal foramen subtypes in many of the Thai and American skulls were type IIb and type IIa. The diameter of a connecting nasal foramen was significantly larger than that of a non-connecting. Results from embalmed confirmed the passage of the external nasal artery through the nasal cavity. The study shows no significant difference in nasal foramen morphometry between Thai and American. It illustrates recent data on type and subtype classifications and the location of a vascular passage through the nasal foramen. This is the first study of NF variations and their respective classifications.

PRESCHOOL PEDAGOGY AND TEACHING PRACTICES IN THE INCLUSIVE CLASSROOMS: A RESEARCH STUDY ACCORDING TO THE CURRICULUM PROGRAM IN GREECE

<p>The Curriculum forms the common framework for organizing learning in kindergarten based on certain principles. Preschool education, in the light of the development of basic abilities, is aligned with the principles of holistic development and learning adopted by the Curriculum. It is important that preschool teachers understand the core knowledge areas, concepts, and skills that are sought to be developed so that they can approach them holistically and dynamically. The purpose of this study is to investigate the views and educational practices of kindergarten teachers regarding the teaching plans and learning situations they organize in their inclusive classrooms in order to respond to the needs and capabilities of kindergarten children. It is a qualitative research, with the methodological tool of semi-structured interviews, in a sample of forty (40) kindergarten teachers from the regional unit of Epirus. Kindergarten teachers answered questions regarding: investigations, errors as a pedagogical tool, the learning situations they organize taking into account characteristics of the game, inclusive education in kindergarten, differentiated teaching and learning and the opportunities they create for intercultural communication. From the analysis and interpretation of the interviews, it is clear that the kindergarten teachers wish to harmoniously combine theory with practice and that inclusive education in kindergarten is a practical approach to diversity as an element that unifies and enriches the learning experience. However, the findings of the research also highlighted the need for teachers for training and further information on teaching methodology and practical application as well as the need to reframe and redefine the goals of the Analytical Study Programs in the direction of forming a high-quality modern school.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0770/a.php" alt="Hit counter" /></p>

Influence of Fiber Dimensions on Bridging Performance of Polyvinyl Alcohol Fiber-Reinforced Cementitious Composite (PVA-FRCC)

This study investigates the influence of fiber dimensions on the bridging performance of polyvinyl alcohol fiber-reinforced cementitious composite (PVA-FRCC) through an experimental and analytical program. Bending tests, bridging law calculations, and section analysis are conducted. Bending tests of notched specimens of PVA-FRCC with six different PVA fiber dimensions are performed to determine the load–deflection (LPD) and bending moment–crack mouth opening displacement (CMOD) relationships. The fiber volume fraction for all PVA-FRCCs is set to 2%. It is found that the load capacity of PVA-FRCC with a 27 μm diameter fiber is much higher than that of the other fibers, and the load capacity decreases as the fiber diameter increases. The study proposes parameters for the characteristic points of the tri-linear model for the single-fiber pullout model as functions of diameter, bond fracture energy, elastic modulus, cross-sectional area, and perimeter of the fiber. These findings provide valuable insights into the behavior of PVA-FRCC under different fiber dimensions. Bridging law calculations are conducted to obtain tensile stress–crack width relationships using the developed single-fiber pullout models. The Popovics model for the complete tensile stress–crack width relationship is adopted to obtain a better fit with the bridging law calculation, and then section analysis is conducted. The bridging law calculation results show that the maximum tensile stress decreases as the fiber diameter increases. It is also determined that most of the smaller-diameter fibers ruptured, whereas the larger fiber diameters pulled out from the matrix. The section analysis results show good agreement with the maximum bending moments obtained from the bending test.

An ultra-fast green ultra-high-performance liquid chromatography-tandem mass spectrometry method for estimating the in vitro metabolic stability of zotizalkib in human liver microsomes.

Zotizalkib (ZTK, TPX-0131) is a fourth-generation highly effective inhibitor of wild-type anaplastic lymphoma kinase (ALK) and ALK-resistant mutations that can penetrate the central nervous system. It exhibited greater potency compared to all five officially approved ALK inhibitors. The aim of this study was to develop a rapid, accurate, eco-friendly, and highly sensitive ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method for measuring the concentration of ZTK in human liver microsomes (HLMs). The validation aspects of the current UHPLC-MS/MS methodology in the HLMs were conducted in accordance with the bioanalytical method validation standards specified by the US Food and Drug Administration. ZTK and encorafenib were separated using an Agilent C8 column (Eclipse Plus) and an isocratic mobile phase. The calibration curve for the developed ZTK exhibited a linear relationship within the concentration range of 1-3000ng/mL. The results from the Analytical Green-ness Metric Approach program (0.76) suggested that the created method demonstrated a significant degree of environmental sustainability. The in vitro half-life (t1/2) and intrinsic clearance (Clint) of ZTK were determined to be 15.79min and 51.35mL/min/kg, respectively that suggests the ZTK exhibits characteristics similar to those of a medication with a high extraction ratio. These approaches are crucial for the progress of novel pharmaceutical development, especially in improving metabolic stability.

Leveraging open data analytics and machine learning to improve mental health research and innovation: 2024 Inter-University Big Data Challenge ProceedingsIn partnership with Canadian Science Publishing, the Canadian Personalized Healthcare Innovation Network, and Underline.io

The National Inter-University Big Data and AI Challenge is an interdisciplinary, agile educational environment that bridges the gap between traditional coursework and real-world data science applications. The challenge provides undergraduate and graduate researchers with the unique opportunity to explore the intersection of Open Data and applied scientific research by developing and presenting their research amongst peers and professionals from academia and industry. By participating, students gain skills in uncovering hidden patterns and trends in structured and unstructured data using a wide range of data analytics tools and programming languages including Python, R, and various machine learning frameworks. They also gain extensive experience with scientific communication by compiling abstracts, manuscripts, posters, and videos which ultimately culminate in a presentation on Big Data Day. The guiding theme for the 2024 National Inter-University Big Data and AI Challenge was “Leveraging Open Data Analytics and Machine Learning to Improve Mental Health Research and Innovation”. During the 2024 event, we saw over 134 participants from over 15 different institutions and 15 different degree programs learn and utilize important techniques in analytics, artificial intelligence (AI), and machine learning (ML) in order to delve into the complexities of mental health diseases and treatments. These future leaders were tasked with using Open Data to enhance our understanding of mental health and explore areas for innovation regarding mental health practice and research, gaining critical insights into this field. Various topics were investigated, ranging from the socioeconomic determinants of mental health to differential outcomes in treatment efficacy across geographic boundaries. By applying computational thinking, students explored the interplay between mental health and external factors, ultimately contributing to the development of tailored interventions and personalized care plans. We are privileged to witness the analytical capabilities of this talented generation of students, and we are confident they will demonstrate excellence throughout their academic and professional careers. The 2024 Big Data Day, the culmination of our participants’ trailblazing research, was held at the Microsoft Headquarters in Toronto. On behalf of STEM Fellowship, we extend our sincere congratulations to all students who participated in the challenge and wish them success in their future endeavours. We also want to express our appreciation to all the STEM Fellowship volunteers who support this program. We greatly appreciate the valuable collaboration and support of our partners: Research Canada, Canadian Science Publishing, CPHIN, Underline, JMIR Publications, Overleaf.

Leadership during crisis: a multi-sector exploration of perceptions of leadership in Australia

Purpose This paper aims to extend our understanding of the concept of crisis leadership based on perceptions of 48 Australian leaders drawn from various sectors including Australian politics, higher education, not-for-profit and corporate sectors. Design/methodology/approach This qualitative study employed semi-structured virtual interviews of 48 leaders from Australian politics, higher education, not-for-profit and corporate sectors during the COVID-19 pandemic. The Leximancer text analytics program was used for data analysis. Findings Participants perceived effective leadership during a crisis as encompassing four macro themes: leadership as power, leadership as emanating from people, leadership as management and leadership as specific to the organization. While these findings reinforced extant literature on facets of effective leadership, leaders from different sectors differed on the relative importance of some leadership themes and their relevance to specific sectors. Research limitations/implications While the data were collected from a convenient sample, our findings from multiple sectors in Australia extend our knowledge on crisis leadership by revealing differences in sectorial perspectives of crisis leadership. Further, these findings help refine the extant traditional explanations of leadership and especially offer an enhanced understanding of leadership during a crisis. Consequently, our findings support future research that could help identify specific attributes of leaders navigating organizational crises. Such future research could subsequently help develop a theory on crisis leadership based on a valid and reliable measurement for assessing crisis leadership effectiveness in diverse organizational settings. Originality/value Our study is based on multi-sector data and consequently lays a solid foundation for extending the conceptualization of leadership during crisis, and the need to reconceptualize effective leader attributes useful in crisis contexts. Theoretically, the current study extended recent research on crisis leadership, by examining the conceptualizations of crisis leadership within specific Australian sectors.

TRIQS/Nevanlinna: Implementation of the Nevanlinna Analytic Continuation method for noise-free data

We present the TRIQS/Nevanlinna analytic continuation package, an efficient implementation of the methods proposed by J. Fei et al. (2021) [53] and (2021) [55]. TRIQS/Nevanlinna strives to provide a high quality open source (distributed under the GNU General Public License version 3) alternative to the more widely adopted Maximum Entropy based analytic continuation programs. With the additional Hardy functions optimization procedure, it allows for an accurate resolution of wide band and sharp features in the spectral function. Those problems can be formulated in terms of imaginary time or Matsubara frequency response functions. The application is based on the TRIQS C++/Python framework, which allows for easy interoperability with other TRIQS-based applications, electronic band structure codes and visualization tools. Similar to other TRIQS packages, it comes with a convenient Python interface. Program summaryProgram Title:TRIQS/NevanlinnaCPC Library link to program files:https://doi.org/10.17632/4cbzfy5rds.1Developer's repository link:https://github.com/TRIQS/NevanlinnaLicensing provisions: GPLv3Programming language:C++/PythonExternal routines/libraries:TRIQS 3.2[1], Boost >= 1.76.0, Eigen >= 3.4.0, cmake >= 3.20.Nature of problem: Finite-temperature field theories are widely used to study quantum many-body effects and electronic structure of correlated materials. Obtaining physically relevant spectral functions from results in the imaginary time/Matsubara frequency domains requires solution of an ill-posed analytic continuation problem as a post-processing step.Solution method: We present an efficient C++/Python open-source implementation of the Nevanlinna/Caratheodory analytic continuation.

Vegetable Recipe Variations in Urban and Periurban Bangladesh: Recipe Survey, Recipe Standardization, And Nutrient Analysis

Recipe variation has social, economic, geographical, cultural, and other roots. The Analysis of each recipe’s composition is not plausible from a chemical as well as an economic point of view. Instead, a standardized recipe from a set of similar recipes could be ideal for cooking and chemical analysis of the nutrient composition of cooked recipes. This type of data has been found to be scanty in conventional food composition tables (FCT) across the globe. Recipe calculation from raw ingredients has always been problematic because cooking is regarded as an unpredictable process on every occasion. Therefore, analysis of cooked recipes is preferred for FCTs which are used for more authentic and accurate in menu planning for individual or community health purposes. The present study seeks to partially fill the information gap on compositional data for vegetable and leafy vegetable recipes consumed by the lower to middle-income urban and peri-urban households of Bangladesh because they have been observed to be the main consumer of these recipes. The study was conducted into three phases. In phase I, a recipe survey was conducted among purposely selected housewives (n=100) representing Dhaka (n=33), Rangpur (n=37), Rajshahi (n=18) and Chattogram (n=12) divisions. In phase II, 10 selected homemade vegetable and leafy vegetable recipes were selected and standardized from the most cited recipe list obtained from consecutive recipe surveys. In phase III, chemical analyses for proximate nutrients were carried out followed by compilation of vitamin and mineral values from local and global food composition databases. The result revealed that the Moisture, Ash, Protein, Fat, Total Dietary Fiber and Available Carbohydrate content (g/100 g) and Calorie of the samples ranged from 71.57-83.68%, 1.30-4.94%, 1.17-5.86%, 0.20-9.18%, 2.63-7.28%, 1.43-14.66%, and 64.94 to 126.28 Kcal respectively. Method validation and analytical quality assurance program was carried out along with all standard operating procedure (SOP) to ensure quality data generation. Therefore, the data obtained in this study can be taken as reliable data which will enrich the food composition database of Bangladesh. Bioresearch Commu. 10(2): 1565-1572, 2024 (July)

Modification of a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method targeting lysergic acid diethylamide (LSD) and its primary metabolite (OH-LSD) to include nine LSD analogs.

A variety of LSD analogs have emerged in recent years with dual purposes of avoiding prosecution from possession while providing new options for those willing to experiment with hallucinogenic drugs. In this study, a previously published automated sample preparation method for LSD and its primary metabolite (OH-LSD) was utilized to extract LSD, OH-LSD, and nine LSD analogs from urine. The liquid chromatography tandem mass spectrometry (LC-MS/MS) method was modified from the previously published LC conditions to utilize a different analytical column and gradient elution program. Mobile phases of 10 mM ammonium formate with 0.1% formic acid in deionized water (mobile phase A) and 0.1% formic acid in methanol (mobile phase B) were employed. The method was validated to ANSI/ASB Standard 036 with a 0.1 ng/mL limit of detection for all analytes and was utilized for the analysis of 325 urine specimens. Although no LSD analogs were observed in the samples analyzed, this validated method was demonstrated to be suitable for the analysis of these compounds in laboratories seeking to expand their testing scope. Automated sample preparation allows for the efficient analysis of these analytically challenging compounds with minimal manual handling. Additionally, there was no increased analytical time burden when the LC column and gradient were modified to target nine additional analytes. Detection may improve as new reference standards are developed to allow laboratories to focus on the metabolic products of these analogs. For now, this validated procedure can assist with the routine analysis and surveillance of these emerging substances.

Playing surface and sport contact status modulate time to lower extremity musculoskeletal injury at a greater level than concussion history among collegiate student-athletes

ObjectivesWhile previous investigations have demonstrated a positive correlation between previous concussion and risk of subsequent lower extremity musculoskeletal injury (LEMSKI), the effect of sport- and patient-specific factors on time to injury has not been thoroughly described. This study's main objective was to evaluate the relationship between prior concussion and time to LEMSKI among a population of collegiate student-athletes. Secondary objectives were to evaluate the relationship between playing surface, sport contact status, and biologic sex on time to LEMSKI. We hypothesized that those with previous concussions, those competing on synthetic surfaces, and those competing in collision sports would experience decreased latency to LEMSKI overall. MethodsA retrospective observational analysis of National Collegiate Athletic Association (NCAA) Division I student-athletes was conducted utilizing a mixed linear model analysis with contrasts. Inclusion criteria included participation in the Pac-12 Health Analytics Program with a documented LEMSKI between 2017 and 2020. Exclusion criteria included concurrent concussion and LEMSKI, injury resulting in serious morbidity or mortality, and incomplete medical record. Participants were classified by whether they sustained a concussion prior to LEMSKI in each athletic season. ResultsOf 1179 athletes included, 1140 had no previous concussion and 37 had a previous concussion. There was no observed effect of previous concussion (F ​= ​0.038; p ​= ​0.846) on time to LEMSKI overall. Student-athletes competing on constructed surfaces sustained a subsequent LEMSKI 14.5 days sooner (SE ​= ​5.255; p ​= ​0.045), and those competing on organic surfaces sustained a subsequent LEMSKI 23.5 days sooner (SE ​= ​4.018; p ​< ​0.001) in the season than those competing on synthetic surfaces. Contact sport student-athletes sustained a subsequent LEMSKI 52.1 days sooner than collision sport student-athletes (SE ​= ​5.248; p ​< ​0.001), and limited contact sport student-athletes sustained a subsequent LEMSKI 42.29 days sooner than collision sport student-athletes (SE ​= ​4.463; p ​< ​0.001). There was no observed effect of biologic sex (F ​= ​0.602; p ​= ​0.438) on time to LEMSKI overall. ConclusionThere was no observed impact of concussion on time on LEMSKI overall in this collegiate athletic population. Contact sports were associated with decreased time to LEMSK, while synthetic surfaces were associated with increased time to LEMSKI in this population. There was no observed impact of biologic sex on time to LEMSKI. Level of evidenceCase-control, level of evidence III.

Mental Wellness Self-Care in Singapore With mindline.sg: A Tutorial on the Development of a Digital Mental Health Platform for Behavior Change.

Singapore, like the rest of Asia, faces persistent challenges to mental health promotion, including stigma around unwellness and seeking treatment and a lack of trained mental health personnel. The COVID-19 pandemic, which created a surge in mental health care needs and simultaneously accelerated the adoption of digital health solutions, revealed a new opportunity to quickly scale innovative solutions in the region. In June 2020, the Singaporean government launched mindline.sg, an anonymous digital mental health resource website that has grown to include >500 curated local mental health resources, a clinically validated self-assessment tool for depression and anxiety, an artificial intelligence (AI) chatbot from Wysa designed to deliver digital therapeutic exercises, and a tailored version of the website for working adults called mindline at work. The goal of the platform is to empower Singapore residents to take charge of their own mental health and to be able to offer basic support to those around them through the ease and convenience of a barrier-free digital solution. Website use is measured through click-level data analytics captured via Google Analytics and custom application programming interfaces, which in turn drive a customized analytics infrastructure based on the open-source platforms Titanium Database and Metabase. Unique, nonbounced (users that do not immediately navigate away from the site), engaged, and return users are reported. In the 2 years following launch (July 1, 2020, through June 30, 2022), the website received >447,000 visitors (approximately 15% of the target population of 3 million), 62.02% (277,727/447,783) of whom explored the site or engaged with resources (referred to as nonbounced visitors); 10.54% (29,271/277,727) of those nonbounced visitors returned. The most popular features on the platform were the dialogue-based therapeutic exercises delivered by the chatbot and the self-assessment tool, which were used by 25.54% (67,626/264,758) and 11.69% (32,469/277,727) of nonbounced visitors. On mindline at work, the rates of nonbounced visitors who engaged extensively (ie, spent ≥40 seconds exploring resources) and who returned were 51.56% (22,474/43,588) and 13.43% (5,853/43,588) over a year, respectively, compared to 30.9% (42,829/138,626) and 9.97% (13,822/138,626), respectively, on the generic mindline.sg site in the same year. The site has achieved desired reach and has seen a strong growth rate in the number of visitors, which required substantial and sustained digital marketing campaigns and strategic outreach partnerships. The site was careful to preserve anonymity, limiting the detail of analytics. The good levels of overall adoption encourage us to believe that mild to moderate mental health conditions and the social factors that underly them are amenable to digital interventions. While mindline.sg was primarily used in Singapore, we believe that similar solutions with local customization are widely and globally applicable.

From perception to prediction: A comparative study of thermal comfort assessment techniques in school facilities

Indoor environmental quality (IEQ) significantly affects learning, health, and productivity in educational buildings, particularly classrooms. Thermal comfort is crucial to IEQ in classrooms, and various approaches have been developed to assess it. This study compares subjective evaluation, fieldwork measurement, and simulation methods in naturally ventilated secondary school classroom environments in Abuja, Nigeria. It evaluates their reliability, validity, advantages, and limitations. In achieving this objective, fieldwork measurements, questionnaire surveys, and building simulations were conducted in 83 classrooms with 2758 respondents. The data were subjected to descriptive and inferential statistical analysis using the analytical software programs SPSS version 23 and Microsoft Excel. The study found that the Actual Mean Vote (AMV) comfort operative temperature for classrooms was 28.7 °C. Findings from the comparative analysis of the methods indicate that the PMV generally overestimates students’ thermal sensation and that the fieldwork measurement Predicted Mean Votes (PMVf) undervalues the neutral temperature by 4.2 °C. In contrast, the computer-simulated Predicted Mean Votes (PMVs) undervalues it by 3.9 °C. The study found that all three methods are valid and reliable, with some advantages and limitations, depending on the assessment’s specific context and goals. The findings provide valuable insights into improving indoor environmental quality and occupant satisfaction in educational buildings, contributing to the discourse on assessing thermal comfort in classrooms and informing the development of more effective assessment methods. The systematic comparison of these methods addresses a notable gap in the literature, providing practical insights to optimize thermal conditions in learning environments.

Epidemiology of Bone-Stress Injuries and Health Care Use in Pac-12 Cross-Country Athletes.

Bone-stress injury (BSI) is common in collegiate athletes. Injury rates and health care use in running athletes are not well documented. To describe the rate and classification of injury and associated health care use in collegiate cross-country runners with BSI. Descriptive epidemiology study. Sports medicine facilities participating in the Pac-12 Health Analytics Program. Pac-12 Conference collegiate cross-country athletes. Counts of injury and health care resources used for each injury. Injury rates were calculated based on athlete-seasons. A total of 168 BSIs were reported over 4 seasons from 80 team-seasons (34 men's and 46 women's team-seasons) and 1220 athlete-seasons, resulting in 1764 athletic training services and 117 physician encounters. Bone-stress injuries represented 20% of all injuries reported by cross-country athletes. The average BSI rate was 0.14 per athlete-season. Injury rates were higher in female (0.16) than male (0.10) athletes and higher in the 2019-2020 season (0.20) than the 2020-2021 (0.14), 2018-2019 (0.12), and 2021-2022 (0.10) seasons. Most BSIs occurred in the lower leg (23.8%) and the foot (23.8%). The majority of injuries were classified as overuse and time loss (72.6%) and accounted for most of the athletic training services (75.3%) and physician encounters (72.6%). We found a mean of 10.89 athletic training services per overuse and time-loss injury and 12.20 athletic training services per overuse and non-time-loss injury. Mean occurrence was lower for physician encounters (0.70), prescription medications (0.04), tests (0.75), procedures (0.01), and surgery (0.02) than for athletic training services (10.50). Bone-stress injuries are common in collegiate cross-country runners and require considerable athletic training resources. Athletic trainers should be appropriately staffed for this population, and suspected BSIs should be confirmed with a medical diagnosis. Future investigators should track treatment codes associated with BSI to determine best-practice patterns.

Analysis of Media Discourse on Intellectual Property Rights Related to Metaverse in Korea

This study examines the evolving discourse on intellectual property rights (IPR) within the metaverse's Korean context, facilitated by the BIGKinds analytics program. As the metaverse transitions from a nascent concept to a complex reality, it reshapes digital interactions and poses new challenges for IPR, necessitating a comprehensive investigation into societal interest and legal discourse. The findings reveal a significant surge in metaverse-related IPR engagement over the past three years, aligning with the broader digital shift amid the COVID-19 pandemic. This pattern suggests an increasing need for nuanced legal approaches to copyright, trademark, and design patent protection in virtual environments. Thus, the urgency for legal reform to accommodate the metaverse's unique characteristics, the necessity for international collaboration on IPR in a borderless digital domain, and the intersection of technological advances, like NFTs and blockchain, with legal frameworks impacting creators' rights. As a result, this study provides policymakers and the digital community with real-time guidance on protecting intellectual property amid the transformative growth of the metaverse.

Analytical and Experimental Behaviour of GFRP-Reinforced Concrete Columns under Fire Loading

Fire engineering endeavours to mitigate injury or the loss of life in the event of a fire. This is achieved primarily through fire prevention, containment, and extinguishment measures. Should prevention fail, the structural integrity of buildings, coupled with effective evacuation strategies, becomes paramount. While glass fibre-reinforced polymer (GFRP) materials have demonstrated efficacy in reinforcing concrete elements, their performance under fire conditions, notably in comparison to steel, necessitates a deeper understanding for structural applications. This study experimentally and numerically investigates the fire performance of GFRP-reinforced concrete (RC) columns subjected to only fire load without additional external loads. The research aims to ascertain the fire resistance based on the thickness of the concrete coating and the ultimate tensile strength of GFRP rebars after 90 min of fire exposure. Four GFRP-RC columns were subjected to a standardized fire curve on all sides in the experimental program. In the analytical program, a theoretical model was developed using the heat transfer module of the COMSOL software. The results of both analyses were very close, indicating the reliability of the procedure used. Based on the findings, recommendations regarding the fire resistance of GFRP-RC columns were formulated for structural applications. Results from this research provide the civil engineering community with data that will help them continue using FRP materials as internal reinforcement for concrete.