SVR-Optimized ANN Model for Predicting Earthquake Risk in Electrical Substations Based on Disaster Datasets in the Aceh Region, Indonesia by Elvy Sahnur Nasution, Yuwaldi Away, Syahrial, Ira Devi Sara, Andri Novandri

“…The ANN training process uses backpropagation with sigmoid and tanh activation functions. The ANN outputs are then used as input features for the SVR model, applying a Radial Basis Function (RBF) kernel to capture the non-linear relationships between variables. …”
Get full text

Revealing the Immune Response of <i>Sitona callosus</i> Gyllenhal to Entomopathogenic Fungi <i>Beauveria bassiana</i> Infection Through Integrative Analyses of Transcriptomics and... by Nan Li, Xin Gu, Ming Xin, Xinpu Wang

“…Additionally, we utilized the Pearson correlation coefficient method to examine the relationships between differentially expressed immune-related genes and metabolites, revealing notably strong correlations between these two sets of variables. …”
Get full text

Network Analysis of Key Instrumental Activities of Daily Living and Cognitive Domains for Targeted Intervention in US Older Adults Without Dementia: Cross-Sectional Study by Jiaying Li, Rendong He, Erh-Chi Hsu, Junxin Li

“…Network analysis identified central and bridge variables. Nonparametric and case-dropping bootstrap methods checked network stability. …”
Get full text

Comparative study between the Patient Participation Culture Tool and the Hospital Survey on Patient Safety Culture using retrospective data from 2014 to 2021 by Ward Schrooten, Ann Van Hecke, Marlies Claesen, Evelyne Punnewaert, Simon Malfait, Kristof Eeckloo

“…Spearman’s rank correlation coefficient was employed to evaluate relationships between continuous variables represented by PACT domain and HSPSC dimensional scores among study participants.Results Data from 17 hospitals were analysed. …”
Get full text

The Effect of Season and Breed on Hypothalamic–Pituitary–Adrenal Axis Hormones, Metabolic Hormones, and Oxidative Markers in Ponies and Horses by Sarah Alison Vaughn, Margaret B. Lemons, Kelsey A. Hart

“…Linear mixed effects modeling with a random effect for animal was used to determine the effects of season and breed. Correlation coefficients were calculated for relevant variables. …”
Get full text

Identification of an additive interaction using parameter regularization and model selection in epidemiology by Chanchan Hu, Zhifeng Lin, Zhijian Hu, Shaowei Lin

“…We present two pathways to achieve this end: one is to complete the constraint by adding a regular penalty term to the model likelihood function; the other is to use model selection. Result Using simulated and real data, our proposed methods effectively identified additive interactions and proved to be applicable to real-world data. …”
Get full text

Relationship between Communication Skills and General Health in Nursing Students of Hamadan University of Medical Sciences by Roya Amini, Fariba Soleimani, Nahid Mohammadi, Tapak Leili

“…Communication skills had a significant relationship with most aspects of general health, except social function (p<0.001). There was no correlation between demographic variables and communication skills (p<0.05). …”
Get full text

Multivariate predictive modeling of compressive strength in ground granulated blast furnace slag/fly ash-based alkali-activated concrete by Dina A. Emarah

“…Using a comprehensive dataset of 1590 samples with 14 input variables, it captures the complex, multi-variable dependencies affecting AAC's mechanical behavior. …”
Get full text

Objective Measures of Spatial Effects in Spanish Concert Halls by Sara GIRÓN, Teófilo ZAMARRENO, Pedro BUSTAMANTE

“…The paper concludes with a discussion on the relationships of hall-average data of the five parameters with eight geometric and acoustic variables.…”
Get full text

RELATIONSHIP BETWEEN PRIVATE DOMESTIC INVESTMENT AND ECONOMIC GROWTH IN NIGERIA (1986-2018): AUTO-REGRESSIVE DISTRIBUTED LAG APPROACH by Isiaka Kareem JIMBA, Rosemary Bukola AJALA

“…The study incorporated other investment measures like foreign direct investment and public investment into the model, while inflation and exchange rate were taken as control variables. Secondary data was sourced from CBN statistical bulletin of various editions and was estimated using autoregressive distributed lag bound test and its coefficients. …”
Get full text

Reliability of the Cutting Alignment Scoring Tool (CAST) to Assess Trunk and Limb Alignment During a 45-Degree Side-Step Cut by Lauren S Butler, Eryn K Milian, Amie DeVerna, Kevin Latz, Henry B Ellis, Alexa R Martinez, Kristin Hayden, Christian Gerstenkorn, Sara C Carpenito, Charles W Wyatt, Dai Sugimoto

“…Moderate kappa coefficients were found for trunk lean (k= 0.632) and fair kappa coefficients were noted for dynamic and static valgus (k=0.462 and k= 0.533 respectively)…”
Get full text

Gender-specific assessment of lipid profiles correlation with serum uric acid in non-dialysis chronic kidney disease patients: Prospective observational cross-sectional study by Yousuf Abdulkarim Waheed, Yousuf Abdulkarim Waheed, Huanhuan Yin, Jie Liu, Shifaa Almayahe, Maryam Bishdary, Karthick Kumaran Munisamy Selvam, Syed Muhammad Farrukh, Shulin Li, Shulin Li, Yanping Wang, Yanping Wang, Disheng Wang, Disheng Wang, Disheng Wang, Xinglei Zhou, Dong Sun, Dong Sun, Dong Sun

“…Using a multistage stratified sampling method based on age and SUA to examine the differences among groups, Spearman’s correlation and linear regression analysis were utilized to study the association between SUA and lipid profiles, and multivariate analysis to determine the effect of SUA quartiles on multiple dependent variables collectively.ResultsLDL-c was positively correlated with SUA levels, with Spearman’s correlation coefficients of R=0.3553 in males and 0.5137 in females (both with P&lt;0.0001). …”
Get full text

Field Testing of a Smart Geomat Based on Fiber Optic Sensors and Sensor Fusion for Levee Monitoring by Manuel Bertulessi, Francesca Ceccato, Francesco Ioli, Federico Barbieri, Livio Pinto, Paolo Simonini, Giovanni Menduni

“…ABSTRACT Real‐time monitoring of the functionality of river embankments, especially during flood events, is an increasingly important topic in the new scenario outlined by climate change. …”
Get full text

Office-in-the-Loop: an investigation into Agentic AI for advanced building HVAC control systems by Tomoya Sawada, Masahiro Mizuno, Takaomi Hasegawa, Keiichi Yokoyama, Mayuka Kono

“…Regression analysis confirmed the robustness of our approach against confounding variables like outdoor conditions and occupancy levels. …”
Get full text

Estimation of Above-Ground Biomass for <italic>Dendrocalamus Giganteus</italic> Utilizing Spaceborne LiDAR GEDI Data by Huanfen Yang, Zhen Qin, Qingtai Shu, Li Xu, Jinge Yu, Shaolong Luo, Zaikun Wu, Cuifen Xia, Zhengdao Yang

“…The outcomes reveal that 1) the results showed that the power function emerged as the most efficacious model, with coefficient of determination (<italic>R</italic>²) &#x003D; 0.87 and root mean square error (RMSE) &#x003D; 0.00051 Mg, in estimating the AGB of <italic>Dendrocalamus giganteus</italic>. 2) Based on the feature importance ranking of Random Forest, five variables were selected from the 40 extracted from GEDI, achieving RMSE &#x003D; 8.21 Mg&#x002F;ha and mean absolute error (MAE) &#x003D; 6.12 Mg&#x002F;ha. …”
Get full text

Achievement motivation and attitude of medical laboratory assistants to continuing education by K. S. Kichukova, T. G. Taneva

“…The applicability of the results is very clearly visible in the formulated thesis of the necessary change in the educational policy in the country through new forms of continuous education of medical laboratory assistants which would update their achievement motivation and would result in increase in the efficiency of their professional functioning.…”
Get full text

A self-powered millifluidic device driven by triboelectric generator for the label-free and real-time detection of DNA hybridization by Tara Ghafouri, Sheida Bagherzadeh‑Nobari, Negin Manavizadeh

“…In line with the heterogeneous genoassay modeling, flow variables are tuned to attain the optimal hybridization efficiency equal to 92%. …”
Get full text

On Robustness of the Explanatory Power of Machine Learning Models: Insights From a New Explainable AI Approach Using Sensitivity Analysis by Banamali Panigrahi, Saman Razavi, Lorne E. Doig, Blanchard Cordell, Hoshin V. Gupta, Karsten Liber

“…Unlike many methods for explainable artificial intelligence (XAI), this method (a) accounts for complex multi‐variate distributional properties of data, common in environmental systems, (b) offers a global assessment of the input‐output response surface formed by ML, rather than focusing solely on local regions around existing data points, and (c) is scalable and data‐size independent, ensuring computational efficiency with large data sets. We apply this method to a suite of ML models predicting various water quality variables in a pilot‐scale experimental pit lake. …”
Get full text

Cross-Sectional Evaluation of Hydroxyapatite-Coated Titanium Implants: Insights into Biocompatibility and Osseointegration by Tayyaba Rafiq, Iqra Amin, Atiq Ur Rehman, Amna Mehwish Ikram, Khurram Anwar, Arsalan Ahmed, Ayesha Ali Khawaja

“…Conclusion: The implant recipients with HA coatings experienced fewer complications and better outcomes in terms of functionality. …”
Get full text

Minimally Invasive Surgery in Modern Medicine: A Review of Laparoscopic Techniques, Indications, and Postoperative Outcomes by Maksymilian Czarnota, Martyna Adamowicz, Aleksandra Górniak

“…Elderly and frail patients experienced lower pulmonary morbidity and faster functional return, while paediatric and fertility-preserving gynaecologic procedures maintained safety and sustained quality of life. …”
Get full text