Strength and thermal conductivity properties of thermowood-cement composition and factors influencing these indicators by Chernov Vasilii, Gaisin Ilschat, Maltseva Elena, Nosova Anzelika

“…The authors determined general impact patterns of the above-mentioned factors on strength and thermal conductivity properties, as well as specific indicators. …”
Get full text

Therapeutic communication as a factor for humanizing Primary Care by Luciana Bertachini

“…Language builds codes and possibilities for sharing ideas, thoughts and emotions among individuals and their cognitive, cultural, psychological and affective patterns. What seems to be so natural in fact implies a refined and complex process of experiences and learning, which in the health field has essential relevance in the health professional-patients relationships, because of defining in a great extent humanized care. …”
Get full text

Remaining Useful Life Prediction Based on Wear Monitoring with Multi-Attribute GAN Augmentation by Xiaojun Zhu, Yan Pan, Bin Lan, He Wang, Huixin Huang

“…Finally, the validity and practicality of the proposed model are verified through actual engineering case studies.…”
Get full text

Research on the Protection of Battlefield Sites in the Taihang Mountain Area of Southern Hebei Province, China: A Case Study of She County by Feifei Zheng, Yuan Kuang, Yue Hu

“…The aim is to reveal the architectural characteristics and spatiotemporal distribution patterns of battlefield sites, evaluate its current status and constraints, and propose targeted protection strategies and restoration measures. …”
Get full text

Geophysical Characterization of São José do Vale do Rio Preto to Identify Uranium Occurrences in Groundwater, Southeast of Brazil by JUAREZ LOURENÇO, FELIPE FRAIFELD, NICOLAS R. HISPAGNOL, GIOVANNI C. STAEL

“…The study mapped contamination patterns both on the surface and subsurface, establishing a precise correlation between groundwater flow dynamics and the influence of the Central Tectonic Boundary (CTB), a significant transpressive shear zone affecting the regional geological structure. …”
Get full text

The Construction and Analysis of a Spatial Gene Map of Marginal Villages in Southern Sichuan by Jiahao Wan, Xiaoyang Guo, Zehua Wen, Xujun Zhang

“…This study takes Xuyong County in Luzhou City as a case and develops a three-tier analytical framework—“genome–spatial factors–specific indicators”—based on the space gene theory to identify, classify, and map spatial patterns in marginal villages of southern Sichuan. …”
Get full text

Cognitive mistakes of codependents as a way to protect against uncertainty by Natalia G. Artemtseva, Malkina A. Malkina

“…Codependency is considered not only as being close to a dependent relative, but more broadly as a set of certain patterns of thinking and behavioral characteristics. …”
Get full text

A Cloud-Based Framework for Creating Scalable Machine Learning Models Predicting Building Energy Consumption from Digital Twin Data by Elham Mahamedi, Alaeldin Suliman, Martin Wonders

“…Although machine learning (ML) techniques are increasingly used to predict building energy consumption from this DT data, existing approaches often lack scalability in handling data growth (data scalability) and/or adapting to evolving data patterns (model scalability). This study aims to address both drawbacks by developing a scalable cloud-based framework for the prediction of the building energy consumption. …”
Get full text

An Empirical approach for ecological risk assessment of pesticides in surface and groundwater using monitoring data by Hyo-Sub Lee, Jin-Hyo Kim

“…Traditional risk assessment methods, such as the Toxicity Exposure Ratio (TER) and chronic Risk Quotient (RQchronic)have limitations that may overestimate risks and fail to capture transient exposure patterns. Our findings showed that traditional RQ assessments indicated potential risks at 29% of surface water sites and 33% of groundwater sites, with RQ values exceeding 1. …”
Get full text

An Efficient One-Dimensional Texture Representation Approach for Lung Disease Diagnosis by Abrar Alabdulwahab, Hyun-Cheol Park, Heon Jeong, Sang-Woong Lee

“…This study investigates the efficiency of converting the 2D chest X-ray into one-dimensional texture representation data using descriptive statistics and local binary patterns, enabling the use of feed-forward neural networks to efficiently classify lung diseases within a short time and with cost effectiveness. …”
Get full text

Navigating the AI revolution: challenges and opportunities for integrating emerging technologies into knowledge management systems. Systematic literature review by Teona Gelashvili-Luik, Peeter Vihma, Ingrid Pappel

“…The review follows PRISMA guidelines and includes thematic coding to identify patterns, critical success factors, and knowledge gaps.ResultsFindings indicate that successful AI-enabled KM depends on strong leadership commitment, adaptable governance structures, and context-sensitive technology selection. …”
Get full text

Relevance and Adaptation of Sorogan Method in Modern Islamic Boarding Schools: Opportunities and Challenges by Muhammad Miftah Ulhaq, Rizal Nurzain, Melinda Koestanti, Taufiqurrahman, Tarsono

“…Data analysis was conducted through thematic coding to find the main patterns of santri perceptions related to the implementation of the sorogan method. …”
Get full text

Revealing the Influence of Semantic Similarity on Survey Responses: A Synthetic Data Generation Approach by Esko Lehtonen, Tommi Buder-Grondahl, Sina Nordhoff

“…Semantic similarity of the questions is recognized as a source of covariance in the human data, implying that response patterns partly arise from the questionnaire itself. …”
Get full text

Modeling the Impact of Climate Change on Soil Health Using Predictive Analytics by Alsalami Zaid, Mandapati A. H. A. Hussein, Sundari Venkata Rama

“…Reliable methods for predicting and managing changes in soil properties in response to increasing temperature fluctuations, shifting precipitation patterns, and extreme weather events are needed, as these changes are occurring in the face of soil properties. …”
Get full text

Seasonal and Long-Term Population Dynamics of the Peach Fruit Fly in Egypt by Mustafa M. Soliman, Esmat A. EL-Solimany, Thomas Hesselberg, Amira A. K. H. Negm

“…Results revealed significant spatial and temporal variations in abundance patterns. Both regions displayed a unimodal distribution, with Sohag exhibiting a distinct peak during September to November, whereas Ismailia showed a broader peak period spanning from August to December. …”
Get full text

Predicting User Purchases From Clickstream Data: A Comparative Analysis of Clickstream Data Representations and Machine Learning Models by A. Aylin Tokuc, Tamer Dag

“…Unlike prior research, which typically focuses on single representations, our approach combines aggregated session-level summaries with granular, sequential user actions to capture both long-term and short-term behavioral patterns. Through comprehensive experimentation, we compared multiple machine learning models, including LightGBM, decision trees, gradient boosting, SVC, and logistic regression, using real-world e-commerce clickstream data. …”
Get full text

Influence of Project Risk Management in Micro and Small-Scale Industries on Workers’ Occupational Health to Enhance Productivity: An Ergonomic Approach by Jagruti Dhande, Prasad Rane, Himanshu Dhande

“…A survey involving 47 MSSIs and 827 workers was conducted to assess the effects of shift work on health and sleep patterns. The questionnaires were designed and distributed among 1497 workers and 827 workers took part in this study and returned the questionnaire (response rate 55.24%). …”
Get full text

RESEARCH TRENDS OF AUGMENTED REALITY IN BIOLOGY LEARNING: CONTENT AND BIBLIOMETRIC MAPPING ANALYSIS by Asrizal Wahdan Wilsa, Hartono, Bambang Subali, Enni Suwarsi Rahayu

“… Purpose - Through the use of content analysis, this study was aimed at identifying the patterns in research conducted during the past decade and investigating the bibliometric outcomes of articles focused on augmented reality (AR) utilization in biology learning. …”
Get full text

The experiences and perspectives of participating in a nature integrative rehabilitation programme when suffering from post-concussion syndrome: responses, gains, and impact from u... by Ulrik Sidenius, Sus Sola Corazon, Dorthe Varning Poulsen, Lisbeth Jul Olsen, Natasha Kæreby

Get full text

Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

“…These results provide compelling evidence for the effectiveness of hybrid intelligent models in capturing nonlinear, spatiotemporal deformation patterns in tunnel engineering. The WOA-CNN-GRU model offers practical guidance for real-time monitoring system development and risk mitigation in civil infrastructure projects.…”
Get full text