A comparative of theosophical sufism in Syarah al-Hikam by Sholeh Darat and ‘Abdullah Gangohi by Muhammad Yunus Anis, Arifuddin Arifuddin

“…Data analysis in this research applied the Spradley model, namely: (1) domain analysis, (2) taxonomy analysis, (3) componential analysis and (4) analysis of cultural themes. …”
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Predictive athlete performance modeling with machine learning and biometric data integration by Qin Jianjun, Haytham F. Isleem, Walaa J. K. Almoghayer, Mohammad Khishe

“…Abstract The Purpose of this study is to propose a new integrative framework for athletic performance prediction based on state-of-the-art machine learning analysis and biometric data biometric scanning. By merging physiological signals i.e., Heart rate variability, oxygen consumption, muscle activation patterns, with psychological signals i.e., mental toughness, athlete engagement, group cohesion along with contextual training data, we create a hybrid model that performs superiorly as compared to traditional unidimensional models. …”
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A novel data representation framework based on nonnegative manifold regularisation by Yan Jiang, Wei Liang, Jintian Tang, Hongbo Zhou, Kuan-Ching Li, Jean-Luc Gaudiot

“…Representation learning techniques have been frequently applied in multimedia content analysis and retrieval. In this study, an efficient multimedia data clustering method is presented, which consists of two independent algorithms. …”
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Modeling and computational study of cancer treatment with radiotherapy using real data. by Parvaiz Ahmad Naik, Muhammad Farman, Saba Jamil, Muhammad Umer Saleem, Kottakkaran Sooppy Nisar, Zhengxin Huang

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A new, fast method to search for morphological convergence with shape data. by Silvia Castiglione, Carmela Serio, Davide Tamagnini, Marina Melchionna, Alessandro Mondanaro, Mirko Di Febbraro, Antonio Profico, Paolo Piras, Filippo Barattolo, Pasquale Raia

“…We introduce a new test for morphological convergence working directly with non-ultrametric (i.e. paleontological) as well as ultrametric phylogenies and multivariate data. The method (developed as the function search.conv within the R package RRphylo) tests whether unrelated clades are morphologically more similar to each other than expected by their phylogenetic distance. …”
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Inverse power XLindley distribution with statistical inference and applications to engineering data by Amal S. Hassan, Najwan Alsadat, Christophe Chesneau, Mohammed Elgarhy, Mohamed Kayid, Suleman Nasiru, Ahmed M. Gemeay

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Estimation of the average time to failure of the turning steps according to the operation data by M. V. Belousova, V. V. Bulatov

“…For confirmation, a statistical criterion for checking the deviation of the distribution from the normal one was applied.On the basis of carried statistic analysis a histogram of frequencies and a line of the density function of samples of failure time in the data fixation period from 2010 to 2017 were built. …”
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Time Series Data Generation Method with High Reliability Based on ACGAN by Fang Liu, Yuxin Li, Yuanfang Zheng

“…Further, an improved training objective function is designed in the generator to avoid high overlap of generated data and enhance the reliability of generated data. …”
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Data-driven prediction of cardiovascular and cerebrovascular diseases in a nationwide study by Sehyun Kim, Beomsang Ryu, Mingee Choi, Sangyon Lee, Jaeyong Shin, Sok Chul Hong

“…Models based on logistic regression analysis with penalty terms on the objective function were used, and their predictive performances were compared using multiple evaluation metrics, including the area under the receiver operating characteristic curve. …”
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Unraveling heterogeneity and treatment of asthma through integrating multi-omics data by Wei Zhang, Yu Zhang, Lifei Li, Rongchang Chen, Fei Shi, Fei Shi

“…We next discussed how integrated analysis of multi-omics data via machine learning can systematically characterize the molecular and biological profiles of genetic heterogeneity of asthma phenotype. …”
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AI Innovations in Liver Transplantation: From Big Data to Better Outcomes by Eleni Avramidou, Dominik Todorov, Georgios Katsanos, Nikolaos Antoniadis, Athanasios Kofinas, Stella Vasileiadou, Konstantina-Eleni Karakasi, Georgios Tsoulfas

“…Artificial intelligence (AI) has emerged as a transformative field in computational research with diverse applications in medicine, particularly in the field of liver transplantation (LT) given its ability to analyze and build upon complex and multidimensional data. This literature review investigates the application of AI in LT, focusing on its role in pre-implantation biopsy evaluation, development of recipient prognosis algorithms, imaging analysis, and decision-making support systems, with the findings revealing that AI can be applied across a variety of fields within LT, including diagnosis, organ allocation, and surgery planning. …”
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Data-Driven Approach to Safety Control in Jacket-Launching Installation Operations by Sheng Chen, Mingxin Li, Yankun Liu, Xu Bai

“…The model is enhanced by incorporating both numerical simulation data and real-world measurement data from the launching operation. …”
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A guide to the BRAIN Initiative Cell Census Network data ecosystem. by Michael Hawrylycz, Maryann E Martone, Giorgio A Ascoli, Jan G Bjaalie, Hong-Wei Dong, Satrajit S Ghosh, Jesse Gillis, Ronna Hertzano, David R Haynor, Patrick R Hof, Yongsoo Kim, Ed Lein, Yufeng Liu, Jeremy A Miller, Partha P Mitra, Eran Mukamel, Lydia Ng, David Osumi-Sutherland, Hanchuan Peng, Patrick L Ray, Raymond Sanchez, Aviv Regev, Alex Ropelewski, Richard H Scheuermann, Shawn Zheng Kai Tan, Carol L Thompson, Timothy Tickle, Hagen Tilgner, Merina Varghese, Brock Wester, Owen White, Hongkui Zeng, Brian Aevermann, David Allemang, Seth Ament, Thomas L Athey, Cody Baker, Katherine S Baker, Pamela M Baker, Anita Bandrowski, Samik Banerjee, Prajal Bishwakarma, Ambrose Carr, Min Chen, Roni Choudhury, Jonah Cool, Heather Creasy, Florence D'Orazi, Kylee Degatano, Benjamin Dichter, Song-Lin Ding, Tim Dolbeare, Joseph R Ecker, Rongxin Fang, Jean-Christophe Fillion-Robin, Timothy P Fliss, James Gee, Tom Gillespie, Nathan Gouwens, Guo-Qiang Zhang, Yaroslav O Halchenko, Nomi L Harris, Brian R Herb, Houri Hintiryan, Gregory Hood, Sam Horvath, Bingxing Huo, Dorota Jarecka, Shengdian Jiang, Farzaneh Khajouei, Elizabeth A Kiernan, Huseyin Kir, Lauren Kruse, Changkyu Lee, Boudewijn Lelieveldt, Yang Li, Hanqing Liu, Lijuan Liu, Anup Markuhar, James Mathews, Kaylee L Mathews, Chris Mezias, Michael I Miller, Tyler Mollenkopf, Shoaib Mufti, Christopher J Mungall, Joshua Orvis, Maja A Puchades, Lei Qu, Joseph P Receveur, Bing Ren, Nathan Sjoquist, Brian Staats, Daniel Tward, Cindy T J van Velthoven, Quanxin Wang, Fangming Xie, Hua Xu, Zizhen Yao, Zhixi Yun, Yun Renee Zhang, W Jim Zheng, Brian Zingg

“…Characterizing cellular diversity at different levels of biological organization and across data modalities is a prerequisite to understanding the function of cell types in the brain. …”
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Detection of Banana Diseases Based on Landsat-8 Data and Machine Learning by Renata Retkute, Kathleen S. Crew, John E. Thomas, Christopher A. Gilligan

“…Recent outbreaks of banana diseases are threatening the global banana industry and smallholder livelihoods. Remote sensing data offer the potential to detect the presence of disease, but formal analysis is needed to compare inferred disease data with observed disease data. …”
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PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

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Short-term effects of a virtual, community-based, task-oriented group exercise programme incorporating a healthcare–community partnership compared to a waitlist control on increasi... by Susan B Jaglal, Rahim Moineddin, Mark T Bayley, Sarah Munce, Jill I Cameron, Ruth Barclay, Heidi Sveistrup, Nancy Margaret Salbach, Elizabeth L Inness, Jennifer O’Neil, Heather M Hanson, C Allyson Jones, Lisa Sheehy, Jean Michelle Legasto-Mulvale, Renato Barbosa dos Santos, Joyce Fung, Robert W Teasell, Margot Catizzone, Nina Hovanec, Gayatri Aravind, Tai-Te Su

“…The study objective is to estimate the short-term effect of an 8-week, virtual, group, task-oriented CBEP called TIME™ (Together in Movement and Exercise) at Home compared with a waitlist control on improving everyday function in community-dwelling adults with mobility limitations.Methods and analysis A randomised controlled trial incorporating a type 1 effectiveness-implementation hybrid design is being conducted in four Canadian metropolitan centres. …”
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The Effectiveness of a 4-Week Physical Exercise Program in Patients with Pulmonary Arterial Hypertension: A Pilot Study in Sumatra by Citra Kiki Krevani, Muhammad Zakiy Azzuhdi, Feiky Herfandi Soegistiono, Putri Maulina

“…Baseline characteristics revealed a distribution of 22 females (68.75%) and 10 males (31.25%), with an age range of 18-55 years. Statistical analysis indicated no significant differences in baseline characteristics, hemodynamic data, and echocardiography between the two groups. …”
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Creation of single-wing Lorenz-like attractors via a ten-ninths-degree term by Pan Jun, Wang Haijun, Ke Guiyao, Hu Feiyu

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Identification of Reliable Target Brain Regions for Enhancing Object–Location Memory by Brain Stimulation by Mohamed Abdelmotaleb, Filip Niemann, Harun Kocataş, Leonardo M. Caisachana Guevara, Alireza Shahbabaie, Robert Malinowski, Steffen Riemann, Anna Elisabeth Fromm, Dayana Hayek, Daria Antonenko, Marcus Meinzer, Agnes Flöel

“…This study aimed to identify key brain regions involved in OLM that may serve as stimulation targets for future tDCS research and to assess the test–retest reliability (TRR) of both behavioral and functional magnetic resonance imaging (fMRI) data. Methods Twenty healthy young adults (10 females; mean age = 25.0 years, standard deviation [SD] = 5.56) completed two task‐based fMRI sessions using parallel versions of an OLM task. …”
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Enhance triangular fuzzy parametric framework for solid multi objective transportation problem with split decision variables by Vishwas Deep Joshi, Medha Sharma, Lenka Čepová, Huda Alsaud, Kanak Kalita

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