Associations between 24-hour activity behaviours and emotional and behavioural problems of left-behind children: a component analysis of data from a cross-sectional study by Rui Li, Bin Lu, Zan Huang, Jiaying Lou, Yulan Zhou

“…Emotional and behavioural problems were assessed through the application of the Strengths and Difficulties Questionnaire. …”
Get full text

Patients with atrial fibrillation in outpatient practice: clinical characteristics and outcomes over a 10-year observation period (data from the REQUAZA AF registrу — Yaroslavl) by V. V. Yakusevich, V. Vl. Yakusevich, S. Yu. Martsevich, M. M. Lukyanov, O. M. Drapkina

“…Statistical processing was carried out using the Microsoft Office 365 application software package.Results. Most patients (66,5%) were diagnosed with persistent AF. …”
Get full text

A novel dilated weighted recurrent neural network (RNN)-based smart contract for secure sharing of big data in Ethereum blockchain using hybrid encryption schemes by Swetha S, Joe Prathap P M

“…It constructs a reliable framework for decentralized control via multi-node data repetition. Blockchain is involved in offering a transparency to the application of transmission. …”
Get full text

The impact of higher education investment on the urban-rural income gap: An analysis of mediating and threshold effects based on data from China's eight major comprehensive economi... by Shuyao Liu, Yan Zhang, Yanbo Liu, Ning Wang

“…<h4>Results</h4>This paper selects panel data from China's eight major comprehensive economic zones from 2003 to 2021 for analysis. …”
Get full text

Application of molecular approach in combination with providing treatment and control measures for combating Babesia bovis and Babesia bigemina infections in small scale livestock... by Nutsuda Klinkaew, Pairpailin Jhaiaun, Giang Thi Nguyen, Ruttayaporn Ngasaman, Domechai Keawnoi, Niorn Rattanapob, Pipat Arunvipas, Meyanee Kanjanaphan, Nuttapon Manojai, Suwitcha Panchakhan, Julaluk Jaiboon, Piyavadee Numnual, Prattana Tong-in, Thongphanchang Khanthong, Paween Srirarai, Chutima Chantarakot, Pattarakitti Noenchat, Jaroonwit Napornram, Somtat Yangsuk, Tanakrit Cham-iam, Phuncharat Nilsuwan, Supicha Jindarut, Kanokrat Boonyok, Nipa Thammasonthijarern, Wissanuwat Chimnoi, Tawin Inpankaew, Burin Nimsuphan, Jumnongjit Phasuk, Ketsarin Kamyingkird

Get full text

Deteriorated biomechanical properties of human hypertrophied septum in response to cardiomyocyte enlargement, overexpressed collagen, and disarrayed microstructures by Katherine M. Copeland, Houjia Chen, Uday Chintapula, Milad Almasian, Duc Khang Chung, Alan M. Taylor, Yichen Ding, Gaurav Sharma, Michael E. Jessen, Yi Hong, Kytai T. Nguyen, Matthias Peltz, Pietro Bajona, Jun Liao

Get full text

Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the China health and retirement lo... by Qing Huang, Zihao Jiang, Bo Shi, Jiaxu Meng, Li Shu, Fuyong Hu, Jing Mi

“…Methods We used follow-up data from the CHARLS to analyse CVD incidence in the Chinese middle-aged and elderly population over a time span of 9 years. …”
Get full text

Real-World Smartphone Data Predicts Mood After Ischemic Stroke and Transient Ischemic Attack Symptoms and May Constitute Digital Endpoints: A Proof-of-Concept Study by Stephanie Zawada, PhD, MS, Jestrii Acosta, MS, Caden Collins, BA, Oana Dumitrascu, MD, MS, Ehab Harahsheh, MBBS, Clinton Hagen, MS, Ali Ganjizadeh, MD, Elham Mahmoudi, MD, Bradley Erickson, MD, PhD, Bart Demaerschalk, MD, MSc

“…To investigate how closely smartphone data predicted MADRS scores, linear mixed models were used. …”
Get full text

Hyper-resolution in X-ray emission spectroscopy: integrating extended-range high energy resolution fluorescence detection and multiple-crystal spectrometry with advanced binary dat... by Ramesh Rijal, Jack Stephens, Daniel Sier, Nicholas T. T. Tran, Truong V. B. Nguyen, Jonathan W. Dean, Pierce Bowman, Minh Dao, Paul Di Pasquale, Tony Kirk, Chanh Q. Tran, Shusaku Hayama, Matteo Aramini, Nitya Ramanan, Sofia Diaz-Moreno, Christopher T. Chantler

“…XR-HERFD enhances spectral precision by utilizing high-resolution crystal analysers and optimized detector configurations. The systematic application of these methods using multiple Bragg crystal analysers at Diamond Light Source has led to substantial improvements in data quality. …”
Get full text

Evidence Based Gait Analysis Interpretation Tools (EB-GAIT) treatment recommendation and outcome prediction models to support decision-making based on clinical gait analysis data. by Michael H Schwartz, Andrew G Georgiadis

“…The EB-GAIT approach addresses the limitations of the conventional CGA interpretation method, offering a more structured and data-driven decision-making process. EB-GAIT is not intended to replace clinical judgment but to supplement it, providing clinicians with a second opinion grounded in historical data and predictive analytics. …”
Get full text

Development of a method for differential diagnosis of iron deficiency anemia and anemia of chronic disease based on demographic data and routine laboratory tests using machine lear... by N. V. Varekha, N. I. Stuklov, K. V. Gordienko, R. R. Gimadiev, O. B. Shchegolev, S. N. Kislaya, E. V. Gubina, A. A. Gurkina

“…The study of machine learning methods, a branch of artificial intelligence science, is relevant for the development of optimal screening strategies, identification of risk groups, and application of less expensive and more accessible laboratory tests to assess the body iron status.   …”
Get full text

Prognostic and predictive microRNA panels for heart failure patients with reduced or preserved ejection fraction: a meta-analysis of Kaplan–Meier-based individual patient data by Reza Parvan, Victoria Becker, Milad Hosseinpour, Yousef Moradi, William E. Louch, Alessandro Cataliotti, Yvan Devaux, Michael Frisk, Gustavo Jose Justo Silva, AtheroNET COST Action CA21153

“…KM-based individual patient data (IPD) analysis was performed in 12 studies (5064 participants). …”
Get full text

Variáveis climáticas e o desempenho de um pivô central, em Cristalina Goiás Climatic variables and performance of center pivot at Cristalina, Goiás, Brazil by William Evangelista, Carlos A. S. Oliveira, Cícero L. Silva

“…VV, T and UR independent variables influenced significantly water application efficiency values.…”
Get full text

Monitoring water crisis from space across a Mediterranean region by Wassim Mohamed Baba, Abdelghani Chehbouni, Youness Ouassanouan, Simon Gascoin, Marc Paganini, Giuseppe Ottavianelli, Zoltan Szantoi

Get full text

STID-Net: Optimizing Intrusion Detection in IoT with Gradient Descent by James Deva Koresh Hezekiah, Usha Nandini Duraisamy, Kalaichelvi Nallusamy, Avudaiammal Ramalingam, Saranya Chandran, Murugesan Rajeswari Thiyagupriyadharsan, Periasamy Selvaraju, Rajagopal Maheswar

“…Existing methods often struggle in capturing complex and irregular patterns from dynamic intrusion data, making them not suitable for different IoT applications. …”
Get full text

PyReX: A Recursion Based Crossover Detection Algorithm in Python for Along‐Track Geophysical Measurements by K. V. N. G. Vikram, D. V. P. Krishna, K. M. Sreejith

“…We further demonstrate that PyReX significantly improves the computation speed for high frequency along‐track measurements from satellite altimeters and ship‐borne gravity data compared to existing algorithms. PyReX is a flexible, open‐source code that could be easily customized for variety of applications involving large‐scale track‐line data sets.…”
Get full text

Toward learning steelmaking—A review on machine learning for basic oxygen furnace process by Maryam Khaksar Ghalati, Jianbo Zhang, G. M. A. M. El‐Fallah, Bogdan Nenchev, Hongbiao Dong

Get full text

Novel Real-Time Acoustic Power Estimation for Dynamic Thermoacoustic Control by Eduardo Pilo de la Fuente, Jaime Gros, María Antonia Simón Rodríguez, Ana-Isabel Velasco, Carmen Iniesta

“…This paper presents a new procedure for the real-time processing and analysis of data from thermoacoustic systems. The approach focuses on continuously acquiring and adjusting measurements of acoustic wave pressure, enabling the instantaneous estimation of acoustic power. …”
Get full text

Securing Decentralized Ecosystems: A Comprehensive Systematic Review of Blockchain Vulnerabilities, Attacks, and Countermeasures and Mitigation Strategies by Md Kamrul Siam, Bilash Saha, Md Mehedi Hasan, Md Jobair Hossain Faruk, Nafisa Anjum, Sharaban Tahora, Aiasha Siddika, Hossain Shahriar

Get full text

Framework of SAGI Agriculture Remote Sensing and Its Perspectives in Supporting National Food Security by Yun SHI, Shun-ping JI, Xiao-wei SHAO, Hua-jun TANG, Wen-bin WU, Peng YANG, Yong-jun ZHANG, Shibasaki Ryosuke

“…The prototypes of SAGI agriculture remote sensing are first described, followed by a discussion of the key techniques used in joint data processing, image sequence registration and data assimilation. …”
Get full text