Effectiveness of Mobile Health–Based Gamification Interventions for Improving Physical Activity in Individuals With Cardiovascular Diseases: Systematic Review and Meta-Analysis of... by Tianzhuo Yu, Monica Parry, Tianyue Yu, Linqi Xu, Yuejin Wu, Ting Zeng, Xin Leng, Qian Tong, Feng Li

“…Statistical analyses were conducted using R (version 4.3.2; R Foundation for Statistical Computing). ResultsIn total, 6 randomized controlled trials were included. …”
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Comparing Deep Learning models for mapping rice cultivation area in Bhutan using high-resolution satellite imagery by Biplov Bhandari, Timothy Mayer

“…Two Deep Learning approaches, point-based (DNN) and patch-based (U-Net), models were used in conjunction with cloud-computing platforms. Four different models per Deep Learning approaches (DNN and U-Net) were trained: (1) Red, Green, Blue, and Near-Infrared (RGBN) channels from Planet, (2) RGBN and Elevation data (RGBNE), (3) RGBN and Sentinel-1 data (RGBNS), and (4) RGBN with Elevation and Sentinel-1 data (RGBNES). …”
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ZSM-Based E2E Security Slice Management for DDoS Attack Protection in MEC-Enabled V2X Environments by Rodrigo Asensio-Garriga, Pol Alemany, Alejandro M. Zarca, Roshan Sedar, Charalampos Kalalas, Jordi Ortiz, Ricard Vilalta, Raul Munoz, Antonio Skarmeta

“…Research on vehicle-to-everything (V2X) is attracting significant attention nowadays, driven by the recent advances in beyond-5G (B5G) networks and the multi-access edge computing (MEC) paradigm. However, the inherent heterogeneity of B5G combined with the security vulnerabilities of MEC infrastructure in dynamic V2X scenarios introduces unprecedented challenges. …”
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Teknologi Irigasi Cerdas pada Sistem Irigasi Drip dengan Algoritma Ant Colony Optimization by Abdul Haris, Nabilla Anggraini, Hengki Sikumbang

“…At the same time, the development of computing technology has entered various areas of life, including agriculture.   …”
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Multilevel determinants of racial/ethnic disparities in severe maternal morbidity and mortality in the context of the COVID-19 pandemic in the USA: protocol for a concurrent triang... by Bankole Olatosi, Jiajia Zhang, Xiaoming Li, Chen Liang, Jihong Liu, Peiyin Hung, Shan Qiao, Berry A Campbell, Myriam E Torres, Neset Hikmet

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Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization by Akella Subrahmanya Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Marwa M. Eid, Aymen Flah, Zdenek Slanina, Ramy N. R. Ghaly

“…While the ensemble model presents highly improved performance, this computationally and dataset-specific performance requirement suggests further optimization and validation for larger clinical applicability.…”
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Effective rain rate model for analysing overestimated rain fade in short millimetre-wave terrestrial links due to distance factor by Asma Ali Budalal, Ibraheem Shayea, Md. Rafiqul Islam, Jafri Din, Abdulsamad Ebrahim Yahya, Yousef Ibrahim Daradkeh, Marwan Hadri Azmi

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DepITCM: an audio-visual method for detecting depression by Lishan Zhang, Lishan Zhang, Zhenhua Liu, Yumei Wan, Yunli Fan, Diancai Chen, Qingxiang Wang, Kaihong Zhang, Yunshao Zheng

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Going, going, gone: Landscape drying reduces wetland function across the American West by J. Patrick Donnelly, Johnnie N. Moore, John S. Kimball, Kelsey Jencso, Mark Petrie, David E. Naugle

“…To improve our understanding of rapid ecosystem change, we reconstructed monthly wetland surface water hydrology in the western U.S. from 1984 to 2023 using cloud computing and ∼ 150,000 satellite images to measure shifts in the timing and duration of inundations. …”
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Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism by Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam

“…Therefore, the development of optimized deep learning models that are both resource-efficient for edge computing and highly accurate becomes imperative. To this end, an attention-based MobileNetV2 model for monkeypox detection, capitalizing on the inherent lightweight design of MobileNetV2 for effective deployment on edge devices, is proposed. …”
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Prevalence of Preoperative Anxiety and Associated Factors Among Surgical Patients: Systematic Review and Meta-Analysis in Ethiopia by Magarsa Lami, Abraham Negash, Jerman Dereje, Ahmed Hiko, Sinetibeb Mesfin, Arsema Gebreyesus, Nano Belama, Nesredin Ahmed Omer, Bikila Balis, Usmael Jibro

“…STATA version 17 was used for analysis, and the odds ratios of the outcome variable were determined using the random-effects model. Computing values assessed heterogeneity among the studies for I 2 and P -values. …”
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Evaluating cutinase from Fusarium oxysporum as a biocatalyst for the degradation of nine synthetic polymer by Maycon Vinicius Damasceno de Oliveira, Gabriel Calandrini, Clauber Henrique Souza da Costa, Carlos Gabriel da Silva de Souza, Cláudio Nahum Alves, José Rogério A. Silva, Anderson H. Lima, Jerônimo Lameira

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Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud by Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao

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Rancang Bangun Purwarupa Pemilah Sampah Pintar Berbasis Deep Learning by Kahlil Muchtar, Nyak Twoman Anshari, Chairuman Chairuman, Khalid Alhabibie, Khairul Munadi

“…In addition, this research use the Raspberry Pi as a microcontroller, the Raspberry Pi camera module which is used to take pictures, and the Intel Movidius Neural Compute Stick (NCS) to speed up the computing process so that the identification process is easier. …”
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Compensatory increase in oxygen extraction fraction is associated with age-related cerebrovascular disease by John McFadden, Julian Matthews, Lauren Scott, Karl Herholz, Ben Dickie, Hamied Haroon, Oliver Sparasci, Saadat Ahmed, Natalia Kyrtata, Geoffrey J.M. Parker, Hedley C.A. Emsley, Joel Handley, Maélène Lohezic, Laura M. Parkes

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Influenza Immunization in Very-Low-Birth-Weight Infants: Epidemiology and Long-Term Outcomes by Marie-Theres Dammann, Hannah Kraft, Guido Stichtenoth, Kathrin Hanke, Michael Zemlin, Janina Soler Wenglein, Isabell Ricklefs, Alexander Herz, Alexander Humberg, Dorothee Viemann, Geraldine Engels, Matthias Volkmar Kopp, Folke Brinkmann, Carsten Fortmann-Grote, Wolfgang Göpel, Egbert Herting, Christoph Härtel, Ingmar Fortmann, on behalf of the German Neonatal Network

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Unlocking the potential of serious games for rehabilitation in low and middle-income countries: addressing potential and current limitations by Diriba Dereje, Diriba Dereje, Dheeraj Lamba, Teklu Gemechu Abessa, Teklu Gemechu Abessa, Chala Kenea, Chala Kenea, Cintia Ramari, Cintia Ramari, Muhammad Osama, Muhammad Osama, Oyéné Kossi, Oyéné Kossi, Paul Muteb Boma, Paul Muteb Boma, Jules Panda, Jules Panda, Jules Panda, Anna Kushnir, Anna Kushnir, Joanna Mourad, Joanna Mourad, Jean Mapinduzi, Jean Mapinduzi, Maryam Fourtassi, Kim Daniels, Kim Daniels, Judith Deutsch, Bruno Bonnechère, Bruno Bonnechère, Bruno Bonnechère

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Efficacy and Safety of Non-Vitamin K Anticoagulants for Atrial Fibrillation in Relation to Different Renal Function Levels: A Network Meta-Analysis by Hao Jin, Kongbo Zhu, Lina Wang, Yifan Li, Jingjun Meng, Hong Zhi

“…NMA was analyzed with R (version 3.5.1, R Foundation for Statistical Computing) with the packages gemtc recalling JAGS (version 4.3.0) for the efficacy and safety of each drug with regard to different levels of renal function. …”
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Cyberinfrastructure for machine learning applications in agriculture: experiences, analysis, and vision by Lucas Waltz, Sushma Katari, Chaeun Hong, Adit Anup, Julian Colbert, Anirudh Potlapally, Taylor Dill, Canaan Porter, John Engle, John Engle, Christopher Stewart, Hari Subramoni, Scott Shearer, Raghu Machiraju, Osler Ortez, Laura Lindsey, Arnab Nandi, Sami Khanal

“…IntroductionAdvancements in machine learning (ML) algorithms that make predictions from data without being explicitly programmed and the increased computational speeds of graphics processing units (GPUs) over the last decade have led to remarkable progress in the capabilities of ML. …”
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Piloting an automated query and scoring system to facilitate APDS patient identification from health systems by Amy M. FitzPatrick, Aaron T. Chin, Sharon Nirenberg, Charlotte Cunningham-Rundles, Keith Sacco, Jesse Perlmutter, Joseph F. Dasso, Athanasios Tsalatsanis, Jay Maru, Jessica Creech, Jolan E. Walter, Nicholas Hartog, Neema Izadi, Mandy Palmucci, Manish J. Butte, Klaus Loewy, Anurag Relan, Nicholas L. Rider

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