Study on the spatial and temporal differentiation of intangible cultural heritage and its influencing factors in Shandong province by Linliang Zou, Pengfei Tai, Xinchun Wang, Junjie Jiao, Yingtian Wang

“…Abstract This study examines 357 sports-related intangible cultural heritage (ICH) items in Shandong Province, employing an integrated methodology combining GIS spatial analysis, geodetector modeling, and comparative approaches to investigate their multi-tiered spatial distribution patterns. Through six analytical dimensions—natural ecological environment, sociodemographic conditions, economic development level, regional cultural foundations, transportation accessibility, and policy frameworks—the research systematically evaluates differential influences on spatial configuration. …”
Get full text

Protection Boundary Development in Historical–Cultural Built Environments Using Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) by Can Kara, Aminreza Iranmanesh

“…To cope with this, it is essential to frequently re-evaluate and redefine protective boundaries and strategies for developing them to reflect current and emerging urban patterns. …”
Get full text

Mapping Burned Area in the Caatinga Biome: Employing Deep Learning Techniques by Washington J. S. Franca Rocha, Rodrigo N. Vasconcelos, Soltan Galano Duverger, Diego P. Costa, Nerivaldo A. Santos, Rafael O. Franca Rocha, Mariana M. M. de Santana, Ane A. C. Alencar, Vera L. S. Arruda, Wallace Vieira da Silva, Jefferson Ferreira-Ferreira, Mariana Oliveira, Leonardo da Silva Barbosa, Carlos Leandro Cordeiro

“…This research aims to evaluate the effectiveness of a fire detection model and analyze the spatial and temporal patterns of burned areas, providing essential insights for fire management and prevention strategies. …”
Get full text

Classification of Individuals With COVID-19 and Post–COVID-19 Condition and Healthy Controls Using Heart Rate Variability: Machine Learning Study With a Near–Real-Time Monitoring C... by Carlos Alberto Sanches, Andre Felipe Henriques Librantz, Luciana Maria Malosá Sampaio, Peterson Adriano Belan

“…Classification models were developed using supervised machine learning algorithms (decision tree, support vector machines, k-nearest neighbor, and neural networks) and evaluated through cross-validation. A contextual clinical variable indicating recent SARS-CoV-2 infection was incorporated into 1 model configuration to assess its impact on classification performance. …”
Get full text

Bacteremia in the Gulf Cooperation Council Region: A Review of the Literature 2013–2023 by Al-Musawi T, Al-Agha R, Al-Khiami S, Al-Shamari H, Baghdadi M, Bosaeed M, Abdel Hadi H, Mady A, Sabra N

“…In conclusion, the lack of structured surveillance programs and networks to monitor microbiological phenotypic and genotypic patterns as well as clinical outcomes across the region means there is paucity of uniform data on BSIs across the GCC region. …”
Get full text

Impact of screen time during COVID-19 on eating habits, physical activity, sleep, and depression symptoms: A cross-sectional study in Indian adolescents. by Panchali Moitra, Jagmeet Madan

“…The objectives were to 1) evaluate frequency and duration of using screens, and screen addiction behaviors in 10-15 years old adolescents in Mumbai during the COVID-19 pandemic and 2) examine the association of ST with lifestyle behaviors- eating habits, snacking patterns, physical activity (PA) levels, sleep quality and depression symptoms.…”
Get full text

Vaginal bacteria and cervical cancer: a bibliometric analysis of trends and themes by Xiaoxia Liu, Yinghui Zhao, Xianhua Meng, Zheng Gao, Xiaohong Wang, Fengyong Yang

“…Bibliometric analysis was performed using VOSviewer, CiteSpace, and R-bibliometrix to evaluate publication patterns, research collaboration networks, and emerging trends.ResultsA total of 372 publications were identified, showing an annual growth rate of 8.41%. …”
Get full text

An Integrated Preprocessing and Drift Detection Approach With Adaptive Windowing for Fraud Detection in Payment Systems by Hadi M. R. Al Lawati, Anazida Zainal, Bander Ali Saleh Al-Rimy, Mohammad Al-Azawi, Mohamad Nizam Kassim, Sultan Ahmed Almalki, Tami Abdulrahman Alghamdi

“…The method uses Mutual Information and SelectKBest for selecting important features, applies ADASYN to handle class imbalance, and adopts Convolutional Neural Networks (CNN) to capture complex transaction patterns. …”
Get full text

Revolutionizing pig farming: Japan's technological innovations and environmental strategies for sustainability by Md Kamrul Hasan, Hong-Seok Mun, Eddiemar B. Lagua, Hae-Rang Park, Young-Hwa Kim, Md Sharifuzzaman, Jin-Gu Kang, Chul-Ju Yang

Get full text

Deep learning-driven medical image analysis for computational material science applications by Li Lu, Mingpei Liang

“…IntroductionDeep learning has significantly advanced medical image analysis, enabling precise feature extraction and pattern recognition. However, its application in computational material science remains underexplored, despite the increasing need for automated microstructure analysis and defect detection. …”
Get full text

Medium-resolution Dynamic Habitat Indices from Landsat and Sentinel-2 satellite imagery by Elena Razenkova, Katarzyna E. Lewińska, Akash Anand, He Yin, Laura S. Farwell, Anna M. Pidgeon, Patrick Hostert, Nicholas C. Coops, Volker C. Radeloff

“…Here, our main goals were to derive the DHIs from 10-m Sentinel-2, 30-m Landsat, and 250-m MODIS data for the conterminous US and compare all DHIs at two spatial extents, and to evaluate the ability of these DHIs to predict bird species richness in 25 National Ecological Observatory Network terrestrial sites. …”
Get full text

Anatomical Variants in Pancreatic Irrigation and Their Clinical Considerations for the Pancreatic Approach and Surrounding Structures: A Systematic Review with Meta-Analysis by Juan José Valenzuela-Fuenzalida, Camila Ignacia Núñez-Castro, Valeria Belén Morán-Durán, Pablo Nova-Baeza, Mathias Orellana-Donoso, Alejandra Suazo-Santibáñez, Alvaro Becerra-Farfan, Gustavo Oyanedel-Amaro, Alejandro Bruna-Mejias, Guinevere Granite, Daniel Casanova-Martinez, Juan Sanchis-Gimeno

“…<i>Background and Objectives</i>: The pancreas receives blood through a complex network of multiple branches, primarily originating from the celiac trunk (CeT) and the superior mesenteric artery (SMA). …”
Get full text

Linking Satellite and Ground Observations of NO₂ in Spanish Cities: Influence of Meteorology and O₃ by Carlos Morillas, Sergio Álvarez, José C. M. Pires, Adrián Jesús García, Sara Martínez

“…Differences between in situ and satellite data were more pronounced in coastal cities, influenced by wind patterns and urban morphology (Madrid: r = 0.86, v = 1.34 m/s; Valencia: r = 0.68, v = 2.97 m/s; Barcelona: r = 0.65, v = 8.04 m/s). …”
Get full text

A meta-analysis of resting-state fMRI in postherpetic neuralgia using AES-SDM by Guanzuan Wu, Yurou Luo, Danling Guo, Sangying Lv, Jianfeng Yang

“…This meta-analysis used the anisotropic effect size-signed differential mapping (AES-SDM) approach to evaluate rs-fMRI studies on PHN and to provide more robust insights into the brain networks involved in processing PHN pain.Materials and methodsA systematic search of PubMed, Embase, Web of Science, and the Cochrane Database was performed for rs-fMRI studies comparing PHN patients with healthy controls, up until 1 November 2024. …”
Get full text

Bridging aging, immunity, and atherosclerosis: novel insights into senescence-related genes by Yan Lu, Rong Yuan, Rong Yuan, Qiqi Xin, Qiqi Xin, Keji Chen, Keji Chen, Weihong Cong, Weihong Cong

“…Subsequently, differential expression analysis, weighted gene co-expression network analysis, accompanied by 3 machine learning algorithms, LASSO, SVM and RF, were performed to identify diagnostic genes. …”
Get full text

Data Interoperability in COVID-19 Vaccine Trials: Methodological Approach in the VACCELERATE Project by Salma Malik, Zoi Pana Dorothea, Christos D Argyropoulos, Sophia Themistocleous, Alan J Macken, Olena Valdenmaiier, Frank Scheckenbach, Elena Bardach, Andrea Pfeiffer, Katherine Loens, Jordi Cano Ochando, Oliver A Cornely, Jacques Demotes-Mainard, Sergio Contrino, Gerd Felder

“…These points were emphasized in the development of the master protocol template and were manually compared in the following ways: (1) summaries, objectives, and end points in the protocols of 3 VACCELERATE clinical trials (EU-COVAT-1_AGED, EU-COVAT-2_BOOSTAVAC, and EU-COVPT-1_CoVacc) against the master protocol template; (2) metadata of all 3 clinical trials; and (3) evaluations from a questionnaire survey regarding differences in data management systems and structures that enabled data exchange within the VACCELERATE network. …”
Get full text

Length Scales, Rates, and Variability of Mixing Downstream of River Confluences by Tasneem Haq Meem, Bruce L. Rhoads, Quinn W. Lewis, Muhammad Umar, Alexander Sukhodolov

“…The findings confirm that confluences are important locations of accelerated mixing in river networks.…”
Get full text

Design of open systems for meniscus splitting demonstrated using an aqueous polymer solution by Reina Hagiwara, Kosuke Okeyoshi

“…To understand it as a universal phenomenon independent of the polymer species, the distinct evolutionary pathways to pattern formation were evaluated, focusing on the interface deformation and directional deposition of the polymer. …”
Get full text

Exploration of the clinical prognostic model of BRCA based on PCAT7 by Zhi Zhang, Chaocheng Xiang, Tong Chen, Aimin Ma, Xu Wang, Jiaying Li, Yixuan Chen, Yixuan Chen, Chengyu Huang, Chengyu Huang, Ting Li, Ting Li, Danmei Wu, Steven Mo, Dequan Li

“…Furthermore, we used enrichment analysis to evaluate the distribution patterns of genes. We constructed a clinical indicator scoring model based on PCAT7 based prognosis-related genes, followed by correlation analyses to study the relationship between clinical indicators based on PCAT7 expression and immune cell infiltration, immune checkpoint-related genes, and tertiary lymphoid structure marker genes. …”
Get full text

Antioxidant functionalized double-net/TA dynamic hydrogel promotes cartilage regeneration through stabilization of chondrocyte phenotype by Xu Wu, Honglei Wang, Chenlong Li, Yaying Zhu, Qixuan Wang, Tianyu Zhang, Yaoyao Fu, Aijuan He

“…To endow the scaffold with antioxidant functionality, TA (tannic acid) was incorporated by hydrogen bonding to the CNF network, forming an antioxidant DN-TA hydrogel system.To evaluate whether attenuating aerobic metabolism could preserve chondrocyte phenotype, P3 (passage 3) chondrocytes were cultured within the hydrogel scaffold in vitro and then implanted subcutaneously into nude mice. …”
Get full text