Distributions of Wide Binary Stars in Theory and in Gaia Data. I. Generalized Ambartsumian (1937) Approach and the Family of Power-law Distributions of Eccentricity by Valeri V. Makarov

Get full text

Multi-Index Assessment and Machine Learning Integration for Drought Monitoring Using Google Earth Engine by Xulong Duan, Rana Waqar Aslam, Syed Ali Asad Naqvi, Dmitry E. Kucher, Zohaib Afzal, Danish Raza, Rana Muhammad Zulqarnain, Yahia Said

“…This study advances multisensor remote sensing data fusion integrating optical (Sentinel-2, MODIS), thermal (LST), and hydrological (SMAP) sensors with climate datasets to evaluate soil moisture dynamics at five depths (0–50 cm) across nine agricultural zones (October 2021–September 2023), leveraging AI and machine learning to address data quality challenges in heterogeneous sensor inputs. …”
Get full text

Cohort profile: Born in Wales—a birth cohort with maternity, parental and child data linkage for life course research in Wales, UK by Amrita Bandyopadhyay, Sarah Davies, Michaela James, Sinead Brophy, Sam Dredge, Hope Jones, Mike J Seaborne, Natasha L Kennedy, Adele Battaglia

“…Supplementary datasets complement the existing linkage, including primary care, hospital data, educational attainment and social care. Future research includes exploring the long-term implications of COVID-19 on child health and development, and examining the impact of parental work environment on child health and development.…”
Get full text

The effect of flow experience on reuse intention of mobile navigation apps: The mediating role of location-based mobile service quality by Erdem Ozkan, Bahar Yasin, Aylin Ecem Gursen, Habib Mehmet Akpinar

Get full text

A Conceptual Model for the Evaluation of Financial Sustainability by İbrahim Can, Refika Bakoğlu

Get full text

A network approach to addressing the needs of patients with incurable head and neck cancer and their families by Joanne M Patterson, Catriona R Mayland, Peter Bath, Michelle Lawton, Valerie Bryant, David Hamilton, Madina Hasan, Tony Stone, Richard Campbell, Annabel Crum, Linda Sharp

“…A directory of data sources was developed. Working in an iterative way, data sets and relevant data fields were mapped to the 12 potential research priority areas to assess the applicability of using routine data to address these priorities. …”
Get full text

Multimodal Classification Technique for Fall Detection of Alzheimer’s Patients by Integration of a Novel Piezoelectric Crystal Accelerometer and Aluminum Gyroscope with Vision Data... by V. Mohan Gowda, Megha P. Arakeri, Vasireddy Raghu Ram Prasad

“…Smart expert systems line up with various applications to enhance the quality of lifestyle of human beings, such as major applications for smart health monitoring systems. …”
Get full text

MAP3D: An explorative approach for automatic mapping of real-world eye-tracking data on a virtual 3D model by Isabell Stein, Helen Jossberger, Hans Gruber

“…The x, y and z coordinates of the fixations are available as a point cloud and as .csv output. First exploratory application and evaluation tests are promising: MAP3D offers innovative ways of post-hoc mapping fixation data on 3D stimuli with open-source software and thus provides cost-efficient new avenues for research. …”
Get full text

Fault Diagnostics of Synchronous Motor Based on Artificial Intelligence by Samir Abood, Annamalai Annamalai, Mohamed Chouikha, Turk Nejress

Get full text

IDENTIFIKASI MODEL SELF-EXCITING THRESHOLD AUTOREGRESSIVE DENGAN SWITCHING TWO REGIME (KASUS PADA DATA EKSPOR AGRIKULTUR DI INDONESIA) by Husnun Nur Ghiffari Putri Riyansyah, Dewi Retno Sari Saputro, Bowo Winarno

“…In this research, the two stage parameter estimation method is used with OLS and the second stage parameter estimation is used to optimisze the parameter values ​​that are not significant in the model. In its application, the SETAR model (2,1,1) was obtained to model agricultural export data in Indonesia and the MAPE value was 25%.…”
Get full text

Localization of Conveyor Belt Damages Using a Deep Neural Network and a Hybrid Method for 1D Sequential Data Augmentation by Iwona Komorska, Andrzej Puchalski, Damian Bzinkowski

“…For damage diagnosis, a Long Short-Term Memory Network with an attention mechanism (LSTM-AM) was employed, enabling anomaly detection in strain gauge signals. The application of the LSTM-AM algorithm allows for real-time monitoring of conveyor operation and facilitates precise localization and estimation of damage size through data synchronization.…”
Get full text

Augmented Reality for Natural Heritage Education: A Design Framework for Enhancing Indoor Experiences by Athanasios Evagelou, Alexandros Kleftodimos, Magdalini Grigoriou, Georgios Lappas

“…Data were collected from 148 K-12 students during the 2023–2024 school year. …”
Get full text

Enhancing employee job satisfaction through organizational climate and employee happiness at work: a mediated–moderated model by Yu Jianchun

“…The growing integration of artificial intelligence applications (AIAs)—like ChatGPT—into the learning environment raises questions about AIAs’ moderating role in the relationship between EmH at work and EJoS. …”
Get full text

Analyzing Online Search Trends for Kidney, Prostate, and Bladder Cancers in China: Infodemiology Study Using Baidu Search Data (2011-2023) by Shuangquan Lin, Lingxing Duan, Xiangda Xu, Haichao Cao, Xiongbing Lu, Xi Wen, Shanzun Wei

“…ObjectiveThis study aims to analyze trends in online searches and user information–seeking behaviors related to bladder, kidney, and prostate cancers—encompassing descriptive terms (eg, “bladder cancer,” “kidney cancer,” “prostate cancer”) as well as related synonyms and variations—on both national and regional scales. This study leverages data from mainland China’s leading search engine to explore the implications of these search patterns for addressing user needs and improving health management. …”
Get full text

Reallocating 24-hour movement behaviors and its impact on mental health in preschool children: a compositional data and dose-response analysis by Tian Wang, Junyu Wang, Xuelin Lu, Xuhui Chen, Lanzhi Chen, Yixin Liang, DongQing Yang, Yanmei Shi, Rui Li, Yong Yang, Beibei Luo, Jie Zhuang

“…Mental health was evaluated using the Strengths and Difficulties Questionnaire (SDQ), assessing Total Difficulties, Internalizing Problems, Externalizing Problems, and Prosocial Behavior. Compositional data analysis was conducted using isometric log-ratio (ilr) transformation, followed by multivariate linear regression to assess associations. …”
Get full text

Exploring the impact of cuproptosis on prostate cancer prognosis via RNA methylation regulation based on single cell and bulk RNA sequencing data by Junchao Wu, Junchao Wu, Junchao Wu, Wentian Wu, Jiaxuan Qin, Jiaxuan Qin, Jiaxuan Qin, Ziqi Chen, Ziqi Chen, Ziqi Chen, Rongfang Zhong, Peng Guo, Song Fan, Song Fan, Song Fan

“…Nonetheless, the prognostic implications and underlying regulatory mechanisms of them associated with prostate cancer (PCa) remain to be thoroughly investigated.MethodsGenomic and clinical data for PCa from The Cancer Genome Atlas datasets were analyzed to identify a prognostic model through univariate and Least Absolute Shrinkage and Selection Operator Cox regression analyses that were validated utilizing external datasets. …”
Get full text

USE OF MODERN TECHNICAL LEARNING DEVICES BY STUDENTS DURING THE EDUCATIONAL PROCESS by O.Yu. Andriyanova, L.F. Kaskova, L.I. Amosova, P.I. Yatsenko, N.A. Morgun, I.Yu. Vashchenko, A.V. Artem'ev

“… The article presents data from a survey of applicants for education and describes the variability of the use of gadgets in the educational process at different stages of learning. …”
Get full text

Search for Optimal MRI Protocol for the Diagnosis of Vaginal Tumor by S. P. Aksenova, N. V. Nudnov, V. А. Solodkiy

Get full text

ABI-Net: Attention-Based Inception U-Net for Brain Tumor Segmentation From Multimodal MRI Images by Evans Kipkoech Rutoh, Qin ZhiGuang, Joyce C. Bore-Norton, Noor Bahadar

“…Magnetic Resonance Imaging (MRI) is widely used for glioma evaluation, but manual segmentation is impractical due to the large data volume. Automated techniques are necessary for precise clinical measurements. …”
Get full text

Performance of the Surface Water and Ocean Topography (SWOT) Mission for Monitoring Small Lakes in West Africa by Felix Girard, Laurent Kergoat, Ibrahim Mainassara, Maxime Wubda, Edwige Dayangnewende Nikiema, Amadou Abdourhamane Toure, Julien Renou, Maxime Vayre, Nicolas Taburet, Nicolas Picot, Manuela Grippa

Get full text