Integrating Sports Massage into Pre-training Routines Can Enhance Athletic Preparedness and Performance Capacity in Kabaddi Players by Muhammad Isnandar, Farid M. Alhumary, Krzykarist Krzykarist, Restin Zega, Reymond Benedith Hutajulu, Rachel Junika Abelia Putri, Martin Hofmeister

“…The primary objective of this investigation is to assess the efficacy of pre-training sports massage in enhancing warm-up protocols for kabaddi athletes, focusing on its influence on various physiological parameters, performance metrics, and psychological preparedness. Materials and methods. A quasi-experimental design was employed involving a cohort of 20 elite kabaddi athletes (15 males and 5 females) aged between 18 and 30 years, hailing from professional teams in Medan City. …”
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GAN-WGCNA: Calculating gene modules to identify key intermediate regulators in cocaine addiction. by Taehyeong Kim, Kyoungmin Lee, Mookyung Cheon, Wookyung Yu

“…Generative adversarial networks (GANs) have been used to augment biological data to describe hidden intermediate time-series gene expression profiles during specific biological processes. …”
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Neuronal Correlates of Task Irrelevant Distractions Enhance the Detection of Attention Deficit/Hyperactivity Disorder by Chun-Chuan Chen, Eric Hsiao-Kuang Wu, Yan-Qing Chen, Ho-Jung Tsai, Chia-Ru Chung, Shih-Ching Yeh

“…We use a clinically applicable system with EEG to record data. Statistical analysis and machine learning methods were employed to analyze the data. …”
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Impact of Asset Bubbles on Exercise of Executive Stock Options by Amin Mawani, Saikat Sarkar

“…For a sample of U.S. firms from 1992 to 2021, the study identifies stock price bubble periods using the Generalized Sup Augmented Dickey-Fuller (GSADF) method. A bubble is a statistical measure that detects an ex-post firm-specific stock price exuberance that creates abnormally high variation in stock prices arising from changes in discount rates, R&D and market liquidity. …”
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FINANCING TRENDS OF TRADE AND LOGISTICS SECTOR IN DEVELOPING COUNTRIES: THE CASE OF AZERBAIJAN by Ayaz Museyibov, Ayhan Satiji

“…Applying the mixed-method approach, which entails both qualitative and quantitative research techniques, and taking data ranging from 2010 to 2022 from State Statistical Committee of Azerbaijan, World Bank and other financial reports and documents, the study set out to reveal main financial flows in sectors of overall economy of Azerbaijan. …”
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Presenting a Model of Childbearing Intention Based on Demographic Factors and Personality Traits in Couples by Ebrahim Fathi, Hassan Heidari, Hossein Davudi

“…Objective: The objective of the present study was to elucidate a model of childbearing predicated on demographic variables and personality characteristics, emphasizing the role of religiosity among married partners. Methods: This investigation is characterized as descriptive-survey in relation to its practical objectives and methodologies for data acquisition. …”
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Supervised Machine Learning Insights into Social and Linguistic Influences on Cesarean Rates in Luxembourg by Prasad Adhav, María Bélen Farias

“…Through a survey conducted with women in Luxembourg, we first applied statistical methods to investigate the influence of various social and linguistic parameters on CS. …”
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Relationship Between Blurred Boundary and Neurological Deficits in Extension-Type Pediatric Supracondylar Humeral Fractures by Takuji Yamamoto, MD, Yoshifumi Ueshin, MD, Hikaru Ogawa, MD, Yasuharu Nakashima, MD, PhD

“…Data collected included age, sex, height, weight, body mass index, fracture type (Wilkins-modified Gartland classification), surgical method, neurological injury status, and recovery period. …”
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Identification and Estimation of Graphical Models with Nonignorable Nonresponse by Lingju Chen, Shaoxin Hong, Bo Tang

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Nonfragile State Estimator Design for Memristor-Based Fractional-Order Neural Networks with Randomly Occurring Hybrid Time Delays and Stochastic Cyber-Attacks by Qifeng Niu, Xiaoguang Shao, Yanjuan Lu, Yibo Zhao, Jie Zhang

“…In real network environments, the outputs may be compromised by cyber-attacks, which can disrupt data transmission systems. To better reflect the actual conditions of fractional-order neural networks, a Bernoulli variable is utilized to describe the statistical properties. …”
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Models for Positioning Public Spaces in the Metaverse by Ezgi Özkoç, Şan Yalçın Sarabil

“…The study uses literature review and quantitative data collection methods. Statistical data related to public spaces in the Decentraland and Sandbox platforms were gathered and assessed based on various criteria. …”
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Postoperative nonlethal complications following open heart surgery by Golubović Miodrag, Mihajlović Bogoljub, Kovačević Pavle, Čemerlić-Ađić Nada, Pavlović Katica, Velicki Lazar, Šušak Stamenko

“…Statistical methods of correlation and t-test were used. …”
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The magnitude of undernutrition and associated factors among adult chronic kidney disease patients in selected hospitals of Addis Ababa, Ethiopia. by Mahder Asefa, Amene Abebe, Behailu Balcha, Daniel Baza

“…Data were collected by structured and pretested questionnaires. …”
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Evaluation of Visitor Loyalty to Technology-Based Attractions for Sustainable Tourism at Taman Safari Indonesia after COVID-19 by Ratna Sari Hasibuan, Rinekso Soekmadi, Herry Purnomo, Nur Budi Mulyono

“…This study examines how visitors' experiences with technology-driven attractions influence their satisfaction and loyalty to TSI. The SEM-PSL method was used to analyze data using structural equation modeling. …”
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Impacted lower third molar classification and difficulty index assessment: comparisons among dental students, general practitioners and deep learning model assistance by Paniti Achararit, Chawan Manaspon, Chavin Jongwannasiri, Promphakkon Kulthanaamondhita, Chumpot Itthichaisri, Soranun Chantarangsu, Thanaphum Osathanon, Ekarat Phattarataratip, Kraisorn Sappayatosok

“…The radiographs were randomly split into test datasets, while the remaining images were utilized for training and validation. Data augmentation techniques were applied. Another set of radiographs was used to compare the accuracy between human experts and the top-performing CNN. …”
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Impact of environmental taxes, hydroelectricity consumption, economic globalization, and gross domestic product (GDP) on the load capacity factor in the selected European Union (EU... by Funda Kaya, Badsha Mia, Most. Asikha Aktar, Md. Shaddam Hossain, Md Mahedi Hassan, Muhammad Abdur Rahaman, Liton Chandra Voumik

“…To address these issues, we applied an augmented mean group (AMG) model as the main regression approach, and used the pooled mean group-autoregressive distributed lag (PMG-ARDL) method to check the robustness. …”
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Drug-Related Problems and Associated Factors among Patients Admitted with Chronic Kidney Disease at Jimma University Medical Center, Jimma Zone, Jimma, Southwest Ethiopia: A Hospit... by Aster Wakjira Garedow, Eshetu Mulisa Bobasa, Amare Desalegn Wolide, Fantu Kerga Dibaba, Fanta Gashe Fufa, Birtukan Idilu Tufa, Serkadis Debalke, Kabaye Kumela Goro

“…Data were analyzed by using Statistical Package for the Social Sciences (SPSS) version 21.0. …”
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Transcription Analysis of the Myometrium of Labouring and Non-Labouring Women. by Gemma C Sharp, James L Hutchinson, Nanette Hibbert, Tom C Freeman, Philippa T K Saunders, Jane E Norman

“…In this work, gene expression in 48 (22 labouring, 26 non-labouring) lower-segment myometrial samples collected at Caesarean section were analysed using Illumina HT-12 v4.0 BeadChips. Normalised data were compared between labouring and non-labouring groups using traditional statistical methods and a novel network graph approach. …”
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Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology by Hassan Bagheri, Reza Mohebian, Ali Moradzadeh, Behnia Azizzadeh Mehmandost Olya

“…The three feature selection algorithms utilize statistical computations. These algorithms are utilized to systematically identify and optimize pertinent input features, thereby augmenting model interpretability and predictive efficacy within intricate data-driven endeavors. …”
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A Methodology for Acceleration Signals Segmentation During Forming Regular Reliefs Patterns on Planar Surfaces by Ball Burnishing Operation by Stoyan Dimitrov Slavov, Georgi Venelinov Valchev

“…The experimental trials at feed rates of 500 and 1000 mm/min reveal that increased feed rates enhance the distinguishability of these states, thus leading to an augmented number of statistically significant components. …”
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