The feasibility of an exercise intervention in males at risk of oesophageal adenocarcinoma: a randomized controlled trial. by Brooke M Winzer, Jennifer D Paratz, Jonathan P Whitehead, David C Whiteman, Marina M Reeves

“…Secondary outcomes included waist circumference, body composition, fitness, strength and gastro-oesophageal reflux symptoms. …”
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Labour precariousness in the Mexican health workforce: taking to the surface a neglected problematic issue by Gustavo Nigenda, Edson Serván-Mori, Patricia Aristizabal, Rosa Amarilis Zárate-Grajales, Germán Fajardo-Dolci, Rafael Lozano

“…Abstract Background Little attention has been paid to quantifying job precariousness among health workers in low- and middle-income countries. Analytical models of human resources for health omit work precarity as a relevant phenomenon. …”
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End-to-End Intelligent Fault Diagnosis of Transmission Bearings in Electric Vehicles Based on CNN by Yong Chen, Guangxin Li, Anhe Li, Bolin He

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An active learning driven deep spatio-textural acoustic feature ensemble assisted learning environment for violence detection in surveillance videos by Duba Sriveni, Dr.Loganathan R

“…Simulation results confirmed that the proposed DestaVNet model outperforms other existing violence prediction methods, where its superiority was affirmed in terms of the (99.92%), precision (99.67%), recall (99.29%) and F-Measure (0.992).…”
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Hybrid cardiac rehabilitation trial (HYCARET): protocol of a randomised, multicentre, non-inferiority trial in South America by Sherry L Grace, Fernando Lanas, Pamela Serón, Maria J Oliveros, Gabriel N Marzuca-Nassr, Gladys Morales, Claudia Román, Sergio R Muñoz, Nicolás Saavedra

“…There is an urgent need to create more accessible CR delivery models to reach all patients in need. This trial aims to evaluate if the prevention of recurrent cardiovascular events is not inferior in a hybrid CR programme compared with a standard programme.Method and analysis A non-inferiority, pragmatic, multicentre, parallel (1:1), prospective, randomised and open with blinded endpoint assessment clinical trial will be conducted. 308 patients with coronary artery disease will be recruited consecutively. …”
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Short-term effects of combined environmental factors on respiratory disease mortality in Qingdao city: A time-series investigation. by Xin Zhang, Zijian Xi, Min Yang, Xiuqin Zhang, Ruikai Wu, Shuang Li, Lu Pan, Yuan Fang, Peng Lv, Yan Ma, Haiping Duan, Bingling Wang, Kunzheng Lv

“…<h4>Conclusion</h4>The present study revealed a significant association between short-term exposure to high temperature, PM2.5, PM10 and O3 and the risk of RD mortality in Qingdao, even in dual- and composite-pollutants models. Furthermore, our findings indicate that females, the elderly population, and warm seasons exhibit heightened sensitivity to PM exposure.…”
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Assessment of the adequacy of current approaches to individual dosimetric monitoring for personnel by S. Yu. Bazhin, E. N. Shleenkova, V. Yu. Bogatyreva, V. A. Nekrasov

“…A wide range of tasks associated with organizing and conducting inspections has led to the development of a large number of models of beam inspection units differing in their scope of application and characteristics of the ionizing radiation sources included in their composition. …”
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Prediction of Crop Yield by Support Vector Machine Coupled with Deep Learning Algorithm Procedures in Lower Kulfo Watershed of Ethiopia by Abebe Temesgen Ayalew, Tarun Kumar Lohani

“…The planned model is improved through conducting deep learning methods incorporated to the existing practice for different crop condition. …”
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Data-driven machine learning with lattice distortion and thermodynamic parameters guided strength optimization of refractory high-entropy alloys by Shujian Ding, Yifan Zhang, Siyang Lei, Xiang Weng, Wenhui Li, Wei Ren, Jian Chen, Weili Wang

“…The development of refractory high-entropy alloys (RHEAs) through conventional trial-and-error approaches I s highly inefficient given the vast compositional space. To address this difficulty, a data-driven machine learning (ML) model was established to predict the compressive yield strength (σ0.2) of RHEAs, which provides a design strategy with two pivotal descriptors concerning lattice distortion and thermodynamic parameters. …”
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Formulation, in vitro characterization and optimization of taste-masked orally disintegrating co-trimoxazole tablet by direct compression. by Chernet Tafere, Zewdu Yilma, Solomon Abrha, Adane Yehualaw

“…<h4>Conclusion</h4>In this study, co-trimoxazole ODT was formulated successfully. Central composite design was effectively used to model and optimize friability, DT and WT. …”
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A machine-learning approach for predicting butyrate production by microbial consortia using metabolic network information by Claudia Silva-Andrade, Sergio Hernández, Pedro Saa, Ernesto Perez-Rueda, Daniel Garrido, Alberto J. Martin

“…Despite its importance, there is a lack of computational methods capable of predicting its production as a function of the consortium composition. …”
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Fabrication a sustainable adsorbent nanocellulose-mesoporous hectorite bead for methylene blue adsorption by Holilah, Asranudin, Noureddine El Messaoudi, Maria Ulfa, Amir Hamzah, Zuratul Ain Abdul Hamid, Dini Viandi Ramadhani, Lisman Suryanegara, Melbi Mahardika, Alvina Tata Melenia, Agus Wedi Pratama, Didik Prasetyoko

“…The functional group, phase, and morphology of composite was investigated. The composite with 5 % NC had excellent mechanical strength. …”
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Alteration, mineralization, geochemistry and fluid inclusion investigations in Joftrud prospect area, southwest of Birjand by Omid Shareipour, Azadeh Malekzadeh Shafaroudi, Maryam Javidi Moghaddam

“…Materials and methods In the field work, a total of 80 samples were taken mainly from igneous units and ores. 40 thin sections and polished slabs were examined by an optical microscope. …”
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Early detection of ICU-acquired infections using high-frequency electronic health record data by Meri R. J. Varkila, Giacomo Lancia, Maarten van Smeden, Marc J. M. Bonten, Cristian Spitoni, Olaf L. Cremer

“…Discrimination of the composite model was moderate with c-index values varying between 0.64 (95%CI: 0.58–0.69) and 0.72 (95%CI: 0.66–0.78) across timepoints, with some overestimation of ICU-AI risk overall (mean calibration slope 0.58). …”
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Reliability and validity of the Chinese version of the nurses’ health-related procrastination scale (NHRPS) in Chinese nurses by Haili Zhang, Yan Shen, Ling Xu, Liangyi Cao, Lan Chen

“…The first-order factor model is a more economical model, and it is more reasonable to select the first-order confirmatory factor model. …”
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Evaluating the construct validity of the health promotion literacy scale: a confirmatory factor analysis in Taiwan’s university social responsibility context by Yu-Ming Wang, Chia-Hui Hung, Yi-Ching Li, Yung-Chuan Ho, Cheng-Yi Huang

“…Data analysis was performed using SPSS version 26 and AMOS (version 22.0) to perform a CFA to verify the model’s goodness of fit. Results The modified model derived 17 items in 3 factors, with 51.02% of the total variance explained. …”
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Modification of Equation for Calculating the Bond Stress Between Steel Bars and Concrete by Xiaosan Yin, Jimin Li, Shidong Tang, Yuzhou Sun, Md. Mashiur Rahman

“…However, significant slip can lead to considerable errors, which are disadvantageous when analyzing bond performance using finite element methods. To address this issue, this study proposed a modified bond stress calculation model, whose reliability was systematically validated through pull-out tests and comparative analysis with a CEB-FIP model. …”
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Organizational role stress, quality of work life, organizational citizenship behavior, and psychological well-being among university faculty members by Roshan Lal Dewangan, Tamaghna Goswami

“…Hypotheses were tested with structuralequation modeling in AMOS; the model fit was evaluated with CFI, TLI, RMSEA, and SRMR. …”
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TensorTrack: Tensor Decomposition for Video Object Tracking by Yuntao Gu, Pengfei Zhao, Lan Cheng, Yuanjun Guo, Haikuan Wang, Wenjun Ding, Yu Liu

“…To further enhance localization precision and robustness, the paper also incorporates Tucker2 decomposition to integrate appearance and motion patterns, generating composite heatmaps. The method is evaluated on the OTB100 benchmark dataset, showing significant improvements in both performance and speed compared to traditional methods. …”
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Assessment the Relationship between Rural Sustainability and Tourism Development by Modifier Role of Local People Perception by Mohammad Najjarzadeh, Majid Nematolahi, Hosain Balochi

“…In this research, which is an applied one, a descriptive-survey method is used. Data were analyzed by Structural Equation Modeling (LISREL) and Warp Partial Least Squares (Warp PLS) method. …”
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