Effect of respiratory resistance training combined with weight loss exercise on balance function in patients with central obesity by WANG Haimei, XIN Wei, HU Tao, DENG Zhongyi, WEI Xiaomei, XIANG Xiaoxin, CHEN Yanming

“…The maximal inspiratory pressure （MIP）， maximal expiratory pressure （MEP）， diaphragm thickening ratio （DTR）， and balance function of participants were collected before and after the intervention. Balance function assessments included the Balance Error Scoring System （BESS） for evaluating static balance and the Functional Reach Test （FRT） for evaluating dynamic balance. …”
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Deep learning based multi attribute evaluation for holistic student assessment in physical education by Huige Liang, Huifeng Liang

“…The model has considerable efficacy, with a high level of accuracy and reduced errors. Moreover, an experimental investigation illustrates its robustness, having attained a low mean score. …”
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Analysis of Cognitive Biases in Construction Health and Safety in New Zealand by Mahesh Babu Purushothaman, Pricilia Jessica, Funmilayo Ebun Rotimi

“…The construction industry’s complexity and high-risk nature present significant decision-making challenges, often resulting in errors that jeopardise health and safety performance. …”
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Patient Safety Culture Among Healthcare Settings in Low and Middle-Income Countries: A Systematic Review and Meta-Analysis by Natnael Atnafu Gebeyehu, Kirubel Tegegne, Biruk Admass, Nathan Shewangashaw, Yibeltal Atalay, Dagne Sewuyew, Awoke Gebremariam, Kelemu Abebe Gelaw

“…Among the various dimensions of patient safety culture, teamwork within units received the highest score (67.8%), while non-punitive responses to errors received the lowest score (27.6%). Compared to previous studies, it can be concluded that patient safety cultures in low- and middle-income countries are lacking, underscoring the need for targeted interventions to address this issue.…”
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Pseudothrombocytopenia and other conditions associated with spuriously low platelet counts by Marco Cattaneo

“…Conditions causing spurious thrombocytopenia include the following. 1) Pre-analytical errors, such as difficult venipunctures, over-/under-filling of blood collection tubes, insufficient mixing of blood with the anticoagulant (EDTA), which may cause fibrin formation; 2) EDTA-induced, temperature- and time-dependent, antibody-mediated in vitro platelet agglutination, with consequent reduction in the number of single platelets in the sample; the condition, referred to as Pseudothrombocytopenia, is benign and does not need follow-up or medical interventions; the use of alternative in vitro anticoagulants does not prevent agglutinates formation in all samples; accurate platelet counts could be obtained by testing EDTAsamples immediately after blood collection. 3) EDTA-induced in vitro platelet adherence to leukocytes (Platelet Satellitism), caused by bridging IgG antibodies binding to GPIIb-IIIa on platelets and the Fc receptor-III on leukocytes; occasionally, leukocytes may phagocytose platelets and/or form platelets/leukocytes clumps. 4) Presence of large/giant platelets (commonly from patients with congenital or acquired thrombocytopenia) that are not recognized as such by electronic counters, which distinguish platelets from other cells based on their smaller size. 5) Blood from patients with type 2B von Willebrand Disease, which may display large/giant platelets and platelet agglutinates. …”
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Data-driven contact structures: From homogeneous mixing to multilayer networks. by Alberto Aleta, Guilherme Ferraz de Arruda, Yamir Moreno

“…Our results also provide an indication of the errors incurred in situations in which one cannot access all needed information in terms of connectivity and age of the population.…”
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Assessment of the Difficulty Level of Science Questions Using the TIMSS Question Semantic Evaluation for Grade IV Elementary School Students by Muhammad Romli, Ida Bagus Putu Arnyana, I Wayan Suastra

“…Educators can identify students' difficulties and needs in understanding the tested concepts and design appropriate interventions to enhance their understanding …”
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Artificial intelligence-based tools for patient support to enhance medication adherence: a focused review by Zilma Silveira Nogueira Reis, Gláucia Miranda Varella Pereira, Cristiane dos Santos Dias, Eura Martins Lage, Isaias José Ramos de Oliveira, Adriana Silvina Pagano

“…Digital intervention using video and voice interaction providing real-time monitoring pointed to AI's potential to alert to self-medication errors. …”
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Validation of a Swedish version of the National Institute of Health – Chronic Prostatitis Symptom Index by Helena Hallencreutz Grape, Magnus Grabe, Philip von Rosen, Lotta Renström Koskela, Birgitta Nordgren

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Effect of concentric exercise-induced fatigue on proprioception, motor control and performance of the upper limb in handball players. by Stelios Hadjisavvas, Michalis A Efstathiou, Irene-Chrysovalanto Themistocleous, Katerina Daskalaki, Paraskevi Malliou, Christoforos D Giannaki, Jeremy Lewis, Manos Stefanakis

“…<h4>Results</h4>A significant increase in absolute angular error (AAE) was observed in all target angles in both external rotation (ER) and internal rotation (IR) directions (p < 0.01). …”
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Development and psychometric testing of a scale for diet self-management among urban residents in China: a cross-sectional study by Lai Wei, Li Zhou, Yalin Chu, Yuhong Tang

“…The scale can guide future intervention programmes to improve diet self-management and evaluate the intervention effect. …”
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Predicting Type 2 diabetes onset age using machine learning: A case study in KSA. by Faten Al-Hussein, Laleh Tafakori, Mali Abdollahian, Khalid Al-Shali, Ahmed Al-Hejin

“…Estimating the age at onset of T2D can aid early interventions, potentially reducing complications due to late diagnoses. …”
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Driving on rural roads but crashing on busy roads: A survey study examining non-fatal motor vehicle crashes among U.S. Oil and gas extraction workers by Katlin T. Moffis, HeeSun Choi

“…OGE workers’ MVCs, including specific driver performance errors and traffic conditions, which are not monitored by existing surveillance systems. …”
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Integrating Artificial Intelligence into Chronic Kidney Disease Care: Enhancing Hemodialysis Scheduling, Comorbidity Management, and Diagnostic Capabilities by Raniah I. Alnaser, Mohammed N. Abed, Fawaz A. Alassaf, Mohammad H. Alsaaty

“…AI is used in kidney disease to predict CKD progression, evaluate drug prescriptions, detect medical errors, adjust dialysis schedules, and identify unknown comorbidities and phenotypes. …”
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Social determinants of primordial prevention on youth: a Portuguese population-based cross-sectional study by Carlos Franclim Silva, Luísa Sá, Daniel Beirão, Paula Rocha, Paulo Santos

“…The study revealed a high prevalence of unhealthy behaviours: dietary errors (43.6%), insufficient physical activity (51.3%), regular tobacco use (14.7%), and regular alcohol consumption (13.4%). …”
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The need for non-technical skills education in Iranian operating room practitioners: A letter to the editor by Somayeh Gheysari, Mehdi Hasanshahi, Reza Kalantari

“…Despite the lack of standardized non-technical skills training in Iran, educational interventions have shown positive effects. Developing structured curricula and regular training programs for operating room staff is essential to enhance non-technical skills, reduce errors, and improve surgical safety. …”
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Can humanoid robots be used as a cognitive offloading tool? by Shari Cavicchi, Abdulaziz Abubshait, Giulia Siri, Magda Mustile, Francesca Ciardo

“…Abstract Cognitive load occurs when the demands of a task surpass the available processing capacity, straining mental resources and potentially impairing performance efficiency, such as increasing the number of errors in a task. Owing to its ubiquity in real-world scenarios, the existence of offloading strategies to reduce cognitive load is not new to experts and nonexperts, and many of these strategies involve technology (e.g., using Calendar Apps to remember scheduled events). …”
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Crosswalk between HRSD and MADRS outcomes for rTMS in patients with depression by Xiao Chen, Fidel Vila-Rodriguez, Zafiris J Daskalakis, Daniel M Blumberger, Jonathan Downar, Chao-Gan Yan, Tyler S Kaster

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Trends in Obesity Among Adults in Mississippi, 2017–2023 by Ahmed Shoman, Shelia Malone, Trakendria Barnes, Alexis Hynes, Warren Jones, Elizabeth Jones

“…We calculated standard errors using Microsoft Excel and performed trend analysis using Joinpoint Regression. …”
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A Cross-sectional Study on Coping, Resilience, and Perceived Stress among Nursing Students by Saadhvi Nirmal, R. Selvi Kumari

“…These findings will help reduce their stress and create interventions that will support students’ healthy coping strategies and resilience.…”
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