A novel disc bend test specimen for realistic measuring of tensile strength in pavements under transverse cracking condition by M.R.M. Aliha, Hamid Reza Karimi, S.M.N. Ghoreishi

“…In addition, the fracture patterns of specimens tested were simulated and predicted using the XFEM method, and stress distributions were reviewed.…”
Get full text

Gaps in protection to Anopheles exposure in high malaria endemic regencies of Papua Province, Indonesia. by Ismail E Rozi, Lepa Syahrani, Dendi H Permana, Puji B S Asih, Maria E Sumiwi, Neil F Lobo, William A Hawley, Din Syafruddin

“…The human behavior observation (HBO) data concentrated on temporal (overnight) and spatial (domestic or peri-domestic) presence, in addition to bed net usage and sleeping patterns. Household surveys, which were also conducted during the entomological collections, gathered information on house construction materials, mosquito bite prevention practices, livestock presence, and other intervention usage.…”
Get full text

The quality of relationships with siblings in adolescence and adulthood by Minić Jelena Lj., Keljanović Anđela D., Pavlović Draginja Z.

“…We can consider the obtained results as key guidelines for continuing research on this issue, with the inclusion of various variables such as parenting styles, patterns of affective attachment, family satisfaction, parental education, personality traits, and quality of life. …”
Get full text

Methodology for developing and evaluating food-based dietary guidelines and a Healthy Eating Index for Ethiopia: a study protocol by Tesfaye Hailu Bekele, Jeanne JHM de Vries, Laura Trijsburg, Edith Feskens, Namukolo Covic, Gina Kennedy, Inge D Brouwer

“…This paper describes the methodology for the development of Ethiopian FBDGs and for creating and evaluating a Healthy Eating Index and a scoring tool that can be used to monitor the adherence of the population to FBDGs.Methods and analysis A multidisciplinary technical working group will be tasked to develop FBDGs for the general population above 2 years of age based on identification of priority diet-related public health problems and risk factors, and a systematic review of dietary patterns in relation to the identified priority health outcomes, following a multistep process. …”
Get full text

Artificial intelligence for diagnosing rare bone diseases: a global survey of healthcare professionals by Behnam Javanmardi, Rebekah L. Waikel, Tinatin Tkemaladze, Shahida Moosa, Alexander Küsshauer, Jean Tori Pantel, Minu Fardipour, Peter Krawitz, Benjamin D. Solomon, Klaus Mohnike

“…Image recognition artificial intelligence (AI) has the potential to significantly improve the diagnostic process by assisting healthcare providers to identify and differentiate imaging patterns associated with various RBDs. This survey study sought to assess the interest of various healthcare providers worldwide in utilizing an AI-based assistant tool for the differential diagnosis of RBDs. …”
Get full text

Prevalence of obesity and associated risk factors among university students using the newly developed Student Lifestyle and Obesity Risk Questionnaire (SLORQ): a cross-sectional st... by Mohamed K. Seyam

“…The participants completed a self-reported validated, bilingual questionnaire (SLORQ) assessing six domains: physical activity, dietary habits, sleep patterns, weight management, metabolic health, and environmental factors. …”
Get full text

Non-linear association between neutrophil-to-lymphocyte ratio and 90-day mortality in patients with pneumonia receiving glucocorticoids alone or in combination with other immunosup... by Caizhen Chen, Xiuguo Zhang, Baoli Li, Qian Geng

“…On the right side of the inflection point, the hazard ratio was 1.0057(95% CI:0.9923-1.0192; p = 0.406), reflecting a lack of statistical significance. Similar patterns were observed in subgroup analyses, with significant interaction effects noted for age and smoking status. …”
Get full text

Mapping and visualizing the global research landscapes on drinking water and cancer by Shaher Zyoud, Sa’ed H. Zyoud

“…The data analysis included bibliometric indicators such as the analysis of citation patterns, publication trends, and the identification of the most productive countries and institutions in this field. …”
Get full text

Radiology nurses’ awareness of MRI-induced vertigo in patients and their perspectives on post-examination care in Saudi Arabia: a cross-sectional study by Nasser Shubayr, Hamad Dailah

“…Descriptive statistics were used to summarize participant characteristics and response patterns, while multiple linear regression analysis was performed to identify factors associated with higher awareness and more favorable care perspectives. …”
Get full text

BUSINESS LEADERSHIP OF IT COMPANIES: IMPACT ON EMPLOYMENT AND SOCIO-ECONOMIC DEVELOPMENT OF THE COUNTRY by Dmytro Poroshyn, Ayben Koy, Bhola Khan, Olena Pakhnenko, Roman Chvankin

“…The scientific novelty of the research results is brought to the identification of a correlation-regression relationship between the export of IT services and products, the main weight of the largest personnel in the industry and their impact on the GDP of the EU country. The practical significance of the research results lies in the study of the income of IT companies and the patterns of hiring ICT specialists. …”
Get full text

THE PHENOMENON OF VIRTUAL IDENTITY: THE CONTEMPORARY CONDITION OF THE PROBLEM by E. L. Soldatova, D. N. Pogorelov

“…An immature personality can lose life orientations as well as acquire the programmed decisions and ready cogitative patterns through excessive Internet use. The social activity in the Internet environment significantly reduces the moral level of communication on social networking sites and messengers. …”
Get full text

Assessment Of Temporal Variability In The Level Of Population Vulnerability To Natural And Man-Made Hazards (The Case Of Moscow Districts) by Roman A. Babkin, Svetlana V. Badina, Alexander N. Bereznyatsky

“…The object of the study is the administrative districts of Moscow; the subject is the temporal patterns of vulnerability of their population to potential natural and man-made hazards. …”
Get full text

Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“…The use of simulated data revealed that NN might be more effective in larger datasets with potential non-linear patterns, but limited interpretability. Conclusion: AI-based models are, indeed, recommended for data processing of large and/or unstructured complex medical data sets. …”
Get full text

Analysis of Entrance Hierarchy in Qajar Houses of Qom Using Space Syntax Approach with Emphasis on Privacy by Elham Aram, Leila Aram

“…&nbsp;</span></span><span style="font-family: 'times new roman', times, serif;"><span style="font-size: 10pt;">Given the challenges of contemporary architecture in providing privacy and personal space, scientific reinterpretation of spatial patterns in historical houses using modern analytical methods can provide practical solutions for today's residential design. …”
Get full text

Plant development influences dynamic shifts in the root compartment microbiomes of wild and domesticated finger millet cultivars by Fantaye Ayele Dadi, Saraladevi Muthusamy, Samrat Ghosh, Diriba Muleta, Kassahun Tesfaye, Fassil Assefa, Jie Xu, Farideh Ghadamgahi, Rodomiro Ortiz, Ramesh Raju Vetukuri

“…Pseudomonadota, Actinomycedota, and Bacteroidota were the dominant bacterial phyla, while Ascomycota and Basidiomycota were the primary fungal phyla across all samples, displaying distinct abundance patterns. Notably, an increase in Actinomycedota in the endosphere correlated with a reduction in Pseudomonadota. …”
Get full text

AUTOMATED TECHNOLOGY OF MEASUREMENT OF PHYSIOLOGICAL PARAMETERS OF FARM ANIMALS by Victor Shigimaga, Natalia Kosulina, Mariya Chorna, Vitaly Sukhin, Stanislav Kosulin, Kostiantyn Korshunov, Yaroslav Yevsyukov

“…These technologies enable real-time tracking of animal health parameters such as body temperature, heart rate, movement patterns, and other critical indicators. The use of various sensors, including ear, neck, and intra-body sensors, plays a crucial role in collecting primary physiological data. …”
Get full text

Vapor pressure deficit (VPD) downscaling based on multi-source remote sensing, in-situ observation, and machine learning in China by Mi Wang, Zhuowei Hu, Xiangping Liu, Wenxing Hou

“…The high accuracy demonstrated in year-to-year and station-to-station experiments, coupled with the strong consistency between RF-VPD data and in-situ observations, underscores the robustness and applicability of RF-VPD models in capturing spatiotemporal patterns. Furthermore, our study demonstrates the dynamic impact of hydrothermal transfer processes and meteorological factors on RF-VPD products. …”
Get full text

Theoretical Aspects of Soil Layer Turnover Within the Boundaries of Its Own Furrow by Ya. P. Lobachevsky, V. V. Sharov, N. V. Aldoshin, Yu. S. Tsench, A. S. Zolotarev

“…The kinematics analysis of a soil layer turnover within the boundaries of its own furrow reveals new phenomena occurring during its motion to identifies the patterns of influence that the soil layer's geometric parameters exert on its dynamic characteristics.…”
Get full text

Spatio-temporal Dynamics and Drivers of Soil Loss in the Poyang Lake Basin Based on GEE and Multi-Source Remote Sensing Data by N. Wei, Y. Lin, Y. Lin, J. Yu, Y. Yang

“…The analysis incorporates rainfall erosivity (R factor) from CHIRPS precipitation data, soil erodibility (K factor) from OpenLandMap, topographic factors (LS factor) from DEM data, vegetation cover (C factor) from Landsat7/8 NDVI, and conservation practices (P factor) from MODIS land cover data. The results indicate significant changes in soil loss patterns from 2001 to 2020, with average annual soil loss decreasing from 13.4 t/hm² in 2001&ndash;2010 to 7.2 t/hm² in 2011&ndash;2020, reflecting a trend line coefficient of &minus;0.5. …”
Get full text

Quantifying Temporal Dynamics in Global Cyber Threats: A GPT-Driven Framework for Risk Forecasting and Strategic Intelligence by Fahim Sufi, Musleh Alsulami

“…This paper addresses a critical research gap in the domain of temporal cyber risk analysis by introducing a mathematically rigorous and AI-augmented framework capable of identifying, validating, and forecasting quarterly shifts in global cyber-attack patterns. The methodology integrates a hybrid data acquisition pipeline with GPT-based AI classification to construct a structured, high-dimensional dataset comprising 11,497 cybersecurity incidents spanning from October 2023 to March 2025. …”
Get full text