From relaxed beliefs under psychedelics (REBUS) to revised beliefs after psychedelics (REBAS) by Richard J. Zeifman, Meg J. Spriggs, Hannes Kettner, Taylor Lyons, Fernando E. Rosas, Pedro A. M. Mediano, David Erritzoe, Robin L. Carhart-Harris

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Changing trends in lung cancer disease burden between China and Australia from 1990 to 2019 and its predictions by Dan Zhao, Haijun Mu, Ping Yu, Chao Deng

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A 40-year remote sensing analysis of spatiotemporal temperature and rainfall patterns in Senegal by Catherine Nakalembe, Diana B. Frimpong, Hannah Kerner, Mamadou Adama Sarr

“…This occurs at a time of rapid growth in Earth observations (EO) data, methodologies, and computational capabilities, which could potentially augment studies in data-scarce regions. …”
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Impact of Mediterranean Diet Adherence on the Incidence of New‐Onset Hypertension in Adults With Obesity in Korea: A Nationwide Cohort Study by Jung‐Hwan Kim, Ji‐Won Lee, Yaeji Lee, Chung‐Mo Nam, Yu‐Jin Kwon

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The interplay of sex and genotype in disease associations: a comprehensive network analysis in the UK Biobank by Vivek Sriram, Jakob Woerner, Yong-Yeol Ahn, Dokyoon Kim

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Different Associations of Trunk and Lower-Body Fat Mass Distribution with Cardiometabolic Risk Factors between Healthy Middle-Aged Men and Women by Bin Wu, Jingshan Huang, Keisuke Fukuo, Kazuhisa Suzuki, Gen Yoshino, Tsutomu Kazumi

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Ad Click Fraud Detection Using Machine Learning and Deep Learning Algorithms by Reem A. Alzahrani, Malak Aljabri, Rami A. Mustafa Mohammad

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Optimizing alpha–beta filter for enhanced predictions accuracy in industrial applications using Mamdani fuzzy inference system by Junaid Khan, Muhammad Fayaz, Umar Zaman, Eunkyu Lee, Awatef Salim Balobaid, Muhammad Bilal, Kyungsup Kim

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Evaluating Machine Unlearning: Applications, Approaches, and Accuracy by Zulfiqar Ali, Asif Muhammad, Rubina Adnan, Tamim Alkhalifah, Sheraz Aslam

“…ABSTRACT Machine learning (ML) enables computers to learn from experience by identifying patterns and trends. …”
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Inter-Cloud Data Security Framework to Build Trust Based on Compliance with Controls by Syed Imran Akhtar, Abdul Rauf, Muhammad Faisal Amjad, Ifra Batool

“…Prospects of cloud computing as a technology that optimizes resources, reduces complexity, and provides cost-effective solutions to its consumers are well established. …”
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Location Information-Based Routing Protocol for Energy Harvesting Cognitive Radio Wireless Sensor Network by Mohamad-Rida Mortada, Abbass Nasser, Alaaeddine Ramadan, Koffi-Clement Yao, Ali Mansour

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An Efficient Third-Order Full-Discretization Method for Prediction of Regenerative Chatter Stability in Milling by Chao Huang, Wen-An Yang, Xulin Cai, Weichao Liu, YouPeng You

“…The feature of accurate computing makes the proposed NI-HI-3rdFDM more adaptable to a dynamic milling scenario, in which a computationally efficient and accurate chatter stability method is required.…”
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‘The Apex of Hipster XML GeekDOM’ by Lynne Siemens, Ray Siemens, Hefeng (Eddie) Wen, Cara Leitch, Dot Porter, Liam Sherriff, Karin Armstrong, Melanie Chernyk

“…As an interdiscipline, humanities computing has always well-understood its methodologies; indeed, the digital humanities (of which digital literary studies is a part), more generally, have made a virtue of the way in which they render explicit and tangible the theoretical models that govern the representative and analytical endeavour of their fields via computational application.  …”
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Fueling the development of elderly care services in China with digital technology: A provincial panel data analysis by Jiaxin He, Dangchen Sui, Lingpeng Li, Xinyan Lv

“…Objective: This study aims to investigate the transformative potential of digital technology, which includes innovations such as e-commerce, cloud computing, and artificial intelligence, on elderly care cervices in China. …”
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Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization by Jomana Yousef Khaseeb, Arabi Keshk, Anas Youssef

“…Finally, the results revealed that the best approach in terms of classification accuracy, fitness value, and number of selected features had the highest computational complexity.…”
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Identification of a Robust Five-Gene Risk Model in Prostate Cancer: A Robust Likelihood-Based Survival Analysis by Yutao Wang, Jiaxing Lin, Kexin Yan, Jianfeng Wang

“…FAM72D, ARHGAP33, TACR2, PLEK2, and FA2H were identified as independent prognosis factors in prostate cancer patients. We built the computing model as follows: CMU5 risk score = 1.158∗FAM72D + 1.737∗ARHGAP33 − 0.737∗TACR2 − 0.651∗PLEK2 − 0.793∗FA2H. …”
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Exploring the Orca Predation Algorithm for Economic Dispatch Optimization in Power Systems by Vivi Aida Fitria, Arif Nur Afandi, Aripriharta

“…Although Orca Predation Algorithm demonstrates greater performance, it necessitates extended computing time, which future research could mitigate by exploring parallelization or hybrid methodologies. …”
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Everyday Activities for Children with Mitochondrial Disorder: A Retrospective Chart Review by Marieke Lindenschot, Imelda J. M. de Groot, Saskia Koene, Ton Satink, Esther M. J. Steultjens, Maria W. G. Nijhuis-van der Sanden

“…Seventeen patient records, presenting notes on capacities and performed activities, showed an overview of everyday activities that covered the categories: self-care, house chores, therapy, school, computing, hobby, play, sports, and mobility/transport. …”
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SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments by Xiangqian Huang, Xiaoming Li, Limengzi Yuan, Zhao Jiang, Hongwei Jin, Wanghao Wu, Ru Cai, Meilian Zheng, Hongpeng Bai

“…With only 2.9M parameters and 7.2 GFLOPs of computation, SDES-YOLO achieves an mAP@0.5 of 85.1%, representing a 3.41% improvement over YOLOv8n, while reducing parameter count and computation by 1.33% and 11.11%, respectively. …”
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Development and validation of a tool for advising primiparous women during early labour: study protocol for the GebStart Study by Mechthild M Gross, Susanne Grylka-Baeschlin, Antonia N Mueller, Jessica Pehlke-Milde

“…Internal consistency of the tool will be assessed using Cronbach’s alpha and convergent validity computing correlations of items of the tool with the German versions of the Childbirth Self-Efficacy Inventory and the Cambridge-Worry Scale. …”
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