Prevalence and association with environmental factors and establishment of prediction model of atopic dermatitis in pet dogs in China by Yingbo Dong, Yingbo Dong, Yingbo Dong, Long Wang, Long Wang, Kai Zhang, Haibin Zhang, Dawei Guo, Dawei Guo

“…This research involved comprehensive statistical analysis and prediction of CAD in China, using data from 14 cities. …”
Get full text

Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow by WANG Hao, YANG Feiqi, ZHANG Lei, WU Wei, XIE Haonan, ZHAO Lin

“…It further investigates the relationship between turbulent coherent structures and the intensity of particle movement, clarifying the mechanism through which turbulent coherent structures influence sediment transport.MethodsThe optimization algorithm developed in this study aims to maximize the detection of moving particles, providing more accurate data to support understanding sediment transport patterns at the particle scale and their association with turbulent coherent structures. …”
Get full text

High-resolution mapping of secondary cosmic rays with miniaturised stacked pixel telescope by Carlos Granja, Herve Chanal, Václav Zach, David Chvátil, Cristina Oancea, Dušan Poklop, Václav Olšanský, Jan Jakůbek

“…The telescope architecture, modeled angular response and developed data analysis provide accurate composition characterisation and high-angular resolution directional mapping of the charged particle component. …”
Get full text

A revised landslide inventory of the Calabria Region (Italy) by Giuseppe Cianflone, Salvatore Larosa, Lisa Beccaro, Antonio Viscomi, Cristiano Tolomei, Giovanna Chiodo, Tiziana La Pietra, Sergio Leonetti, Luigi Mollica, Annamaria Pellegrino, Antonio Servidio, Salvatore Siviglia, Gianpietro Imbrogno, Fabio Ietto, Rocco Dominici

Get full text

Interpretable machine learning for predicting isolated basal septal hypertrophy. by Lei Gao, Boyan Tian, Qiqi Jia, Xingyu He, Guannan Zhao, Yueheng Wang

“…The data were divided into training and test sets in a 7:3 ratio. …”
Get full text

Association between GNRI and risk of non-alcoholic fatty liver disease in non-obese individuals: a Chinese longitudinal prospective cohort study by Linlin Shen, Siyu Chen, Haoran Guo, Zhiyan Wang, Jiashu Yang, Ke Chen, Hui Yuan

“…While obesity is a major risk factor, many non-obese individuals also develop NAFLD. However, research on this subgroup remains limited, and its underlying risk factors are unclear. …”
Get full text

Las relaciones sociales y su papel en la motivación hacia la práctica de actividad física en adolescentes: Un enfoque cualitativo (Social relatedness and its role in adolescents’... by Jorge Lizandra, Carmen Peiró-Velert

“…This interpretative analysis allowed to inductively obtain four main categories of the total data set. …”
Get full text

THE SEQUANCE OF THE DIAGNOSTIC PROCESS DURING THE INVESTIGATION OF THE MASSETER AND TEMPORALIS MUSCLES IN PATIENTS WITH INTACT DENTAL ROWS by Y. I. Semenenko, I. P. Semenenko, V. M. Dvornik, T. V. Polyschuk

“…The purpose of our work is to develop a diagnostic guideline to the study of the masseter and temporalis muscles in patients with intact dental rows to obtain reliable results of dentition status and comparison of the data in various pathological conditions. …”
Get full text

Early-life smoking, cardiovascular disease risk, and the mediating role of DNA methylation biomarkers of aging by Chang Sheng, Rui Zhou, Hongcai Wang, Guoqiang Lin, Zhou Cai, Wei Wang

“…Furthermore, DNA methylation biomarkers of aging were independently associated with increased CVD risk (1-year increase in DNAm PhenoAge: OR = 1.03, 95% CI: 1.01–1.05, P < 0.001; 0.1-unit increase in DunedinPoAm: OR = 1.19, 95% CI: 1.00–1.40, P < 0.05; 1-kb increase in HorvathTelo: OR = 0.57, 95% CI: 0.34–0.96, P < 0.05). Subgroup analysis revealed that the association between early-life smoking status and the risk of developing CVD was stronger among individuals without household smoking exposure (P for interaction = 0.035). …”
Get full text

Elevated estimated pulse wave velocity and the risk of type 2 diabetes in non-obese young adults: a longitudinal cohort study by Chunxia Zhang, Li Chen, Ri Liu

“…Additionally, ROC curve analysis was performed to assess the predictive power of ePWV in T2DM risk. …”
Get full text

Knowledge, attitude and self-efficacy of elderly caregivers in Chinese nursing homes: a cross-sectional study in Liaoning Province by Huijun Zhang, He Sun

“…Caregivers who were employed as formal staff (β=0.155, 95% CI 0.116 to 1.670), earned a high income (β=0.214, 95% CI 0.117 to 1.461) and had an interest in working with the elderly (β=0.141, 95% CI 0.088 to 1.508) tended to develop a positive attitude towards the elderly. However, caregivers who were female (β=−0.110, 95% CI −1.751 to −0.080) and had long work experience (β=−0.130, 95% CI −1.527 to −0.110) developed negative perception. …”
Get full text

Peculiarities of synthesis and bactericidal properties of nanosilver in colloidal solutions, SiO₂ films and in the textile structure: a review by A. M. Eremenko, I. S. Petryk, Y. P. Mukha, N. V. Vityuk, N. P. Smirnova, A. D. Rudenko

“… The aim of this work is a comparative analysis of the biocidal efficiency of Ag nanoparticles (NPs) in the colloidal state, in the structure of films and dispersions of SiO2 and in the composition of textile fabrics, dependent on the method of synthesis, based on literature data and on own researches. …”
Get full text

Translation and Psychometric Evaluation in Cancer Care of the German Version of collaboRATETM—a 3‐item Patient‐reported Measure of Shared Decision‐Making by Pola Hahlweg, Stefan Zeh, Isabelle Scholl, Jördis Zill, Jörg Dirmaier, Paul James Barr, Glyn Elwyn, Martin Härter

“…Patients with cancer provided data for psychometric testing.…”
Get full text

The impact of buyer shopping orientations and demographic factors on the purchasing for different product types- in the context of online shopping by Haseba Salim Hamad

“…Anderson. (2010). Multivariate Data Analysis. 7th ed. Upper Saddle River, NJ: Pearson. …”
Get full text

Adrenal volumes in fetuses delivering prior to 32 weeks' gestation: An MRI pilot study by Megan Hall, Jana Hutter, Alena Uus, Elise duCrest, Alexia Egloff, Natalie Suff, Mudher Al Adnani, Paul T. Seed, Deena Gibbons, Maria Deprez, Rachel M. Tribe, Andrew Shennan, Mary Rutherford, Lisa Story

Get full text

Genetically-stable engineered optogenetic gene switches modulate spatial cell morphogenesis in two- and three-dimensional tissue cultures by Hannes M. Beyer, Sant Kumar, Marius Nieke, Carroll M. C. Diehl, Kun Tang, Sara Shumka, Cha San Koh, Christian Fleck, Jamie A. Davies, Mustafa Khammash, Matias D. Zurbriggen

Get full text

Comparative evaluation of root ZX Mini® apex locator and radiovisiography in determining the working length of primary molars: An In Vivo study by Rucha N. Davalbhakta, Niraj S. Gokhale, Shivayogi M. Hugar, Chandrashekhar M. Badakar, A. Gowtham, Sanjana P. Soneta

“…Materials and methods: A sample of 30 primary molar teeth was subjected to working length determination by Root ZX mini and RVG. The data was collected and then tabulated and subjected to statistical analysis. …”
Get full text

Genomic analyses reveal a lack of widespread strong selection in indigenous chickens by Zilong Wen, Xinyu Cai, Zexuan Liu, Lizhi Tan, Yuan Kong, Yuzhan Wang, Yiqiang Zhao

Get full text

An artificial intelligence approach for prognosis of COVID-19 course in hospitalized patients by T. L. Karonova, I. N. Korsakov, A. A. Mikhailova, D. I. Lagutina, A. T. Chernikova, М. A. Vashukova, M. A. Smolnikova, D. A. Gusev, A. O. Konradi, E. V. Shlyakhto

“…Based on machine learning approach mortality risk calculator was developed in Almazov National Medical Research Centre using data of the hospitalised patients with an established diagnosis of COVID-19 (n=4071).Results. …”
Get full text

Machine learning-based real-time prediction of duodenal stump leakage from gastrectomy in gastric cancer patients by Jae Hun Chung, Jae Hun Chung, Jae Hun Chung, Yushin Kim, Dongjun Lee, Dongwon Lim, Dongwon Lim, Dongwon Lim, Sun-Hwi Hwang, Sun-Hwi Hwang, Sun-Hwi Hwang, Si-Hak Lee, Si-Hak Lee, Si-Hak Lee, Woohwan Jung

“…PurposeThis study aimed to develop a machine learning (ML) model for real-time prediction of duodenal stump leakage (DSL) following gastrectomy in patients with gastric cancer (GC) using a comprehensive set of clinical variables to improve postoperative outcomes and monitoring efficiency.MethodsA retrospective analysis was conducted on 1,107 patients with GC who underwent gastrectomy at Pusan National University Yangsan Hospital between 2019 and 2022. …”
Get full text