The use of β-blockers in children in ICU – results of the interactive survey, a brief overview and own opinion by D. K. Аzovskiy, A. U. Lekmanov, A. P. Shadchnev

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Malaria, malnutrition, and birthweight: A meta-analysis using individual participant data. by Jordan E Cates, Holger W Unger, Valerie Briand, Nadine Fievet, Innocent Valea, Halidou Tinto, Halidou Tinto, Umberto D'Alessandro, Sarah H Landis, Seth Adu-Afarwuah, Kathryn G Dewey, Feiko O Ter Kuile, Meghna Desai, Stephanie Dellicour, Peter Ouma, Julie Gutman, Martina Oneko, Laurence Slutsker, Dianne J Terlouw, Simon Kariuki, John Ayisi, Mwayiwawo Madanitsa, Victor Mwapasa, Per Ashorn, Kenneth Maleta, Ivo Mueller, Danielle Stanisic, Christentze Schmiegelow, John P A Lusingu, Anna Maria van Eijk, Melissa Bauserman, Linda Adair, Stephen R Cole, Daniel Westreich, Steven Meshnick, Stephen Rogerson

“…We investigated this dependence further using a large, diverse study population.<h4>Methods and findings</h4>We evaluated the interaction between maternal malaria infection and maternal anthropometric status on the risk of LBW using pooled data from 14,633 pregnancies from 13 studies (6 cohort studies and 7 randomized controlled trials) conducted in Africa and the Western Pacific from 1996-2015. …”
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Interactive Media Using Articulate Storyline 3 for Fifth Grade Elementary Students to Enhance Speaking Skills by I Gede Agus Sudiantara, I Wayan Widiana, I Made Suarjana

“…The data that has been collected will be tested using the Kolmogorov-Smirnov and Shapiro-Wilk tests. …”
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Predicting Freeway Traffic Crash Severity Using XGBoost-Bayesian Network Model with Consideration of Features Interaction by Yang Yang, Kun Wang, Zhenzhou Yuan, Dan Liu

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Winter wheat mapping using unbalanced multi-source remote sensing data by Haofei Li, Xiaohui He, Mengjia Qiao, Haonan Sun, Jinlan Kong, Xijie Cheng, Panle Li, Jian Zhang, Renyi Liu, Jiandong Shang

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Monitoring the coastal–offshore water interactions in the Levantine Sea using ocean color and deep supervised learning by G. Baaklini, J. Brajard, L. Issa, G. Fifani, L. Mortier, R. El Hourany

“…In this approach, we develop a pattern detection model using deep learning by training the U-Net model on ocean color data to track the interactions between the coastal and offshore water in the Levantine Sea.…”
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Using Bayesian Nonparametric Hidden Semi-Markov Models to Disentangle Affect Processes during Marital Interaction. by William A Griffin, Xun Li

“…Although the effects are well documented, the probabilistic structures associated with micro-social processes connected to the varied outcomes remain enigmatic. Using extant data we developed a method of classifying and subsequently generating couple dynamics using a Hierarchical Dirichlet Process Hidden semi-Markov Model (HDP-HSMM). …”
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Study of the Electric Quadrupole Moments for some Scandium Isotopes Using Shell Model Calculations with Different Interactions by Baghdad Science Journal

“…Our theoretical calculations for the quadrupole moments used the two types of effective interactions to obtain the best interaction compared with the experimental data. …”
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Assessing the role of genotype by environment interaction of winter wheat cultivars using envirotyping techniques in North China by Haiwang Yue, Yanbing Wang, Zhaoyang Chen, Jiashuai Zhu, Partha Pratim Behera, Pengcheng Liu, Haoxiang Yang, Jianwei Wei, Junzhou Bu, Xuwen Jiang, Xuwen Jiang, Wujun Ma

“…Leveraging 30 years of environmental data, including 19 meteorological parameters and 6 soil physicochemical properties, the study analyzed GEI and identified four distinct mega-environments (MEs) using advanced environmental classification techniques.ResultsVariance analysis of genotype-year combinations at individual locations revealed significant differences among genotypes. …”
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Using financial statement data as economic indicators for urban governance: the case of Antwerp by Ann Verhetsel, Frank Witlox, Kaatje Molenberghs

“…In this paper, the focus is on the interaction between high-quality urban policy-making on the one hand and the issue of data needs to construct useful indicators on the other hand. …”
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Computational intelligence analysis on drug solubility using thermodynamics and interaction mechanism via models comparison and validation by Ahmad J. Obaidullah, Wael A. Mahdi

“…Preprocessing the dataset using the Z-score approach helped to detect outliers, further improving the accuracy and dependability of the analysis. …”
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Using genome‐wide associations and host‐by‐pathogen predictions to identify allelic interactions that control disease resistance by Owen Hudson, Jeremy Brawner

“…This study extends traditional GWAS significance tests of host and pathogen marker main effects by utilizing dual‐genome reaction norm models to evaluate the importance of host‐single nucleotide polymorphism (SNP) by pathogen‐SNP interactions. Disease symptom severity data from Fusarium ear rot (FER) on maize (Zea mays L.) is used to demonstrate the use of both genomes in genomic selection models for breeding and the identification of loci that interact across organisms to impact FER disease development. …”
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Characterizing dynamic interactions between ultradian glucocorticoid rhythmicity and acute stress using the phase response curve. by James Rankin, Jamie J Walker, Richard Windle, Stafford L Lightman, John R Terry

“…By fitting our model to our in vivo stress-response data, we show that the glucocorticoid response to an acute noise stress in rats is governed by a Type 0 phase-resetting curve. …”
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Exploring social interaction patterns and drivers in VGI communities using a custom geovisual analytics tool by Guiming Zhang, Wei Luo, Mingguang Wu, Liangfei Ye

“…Social interactions among data contributors are essential to the success of many VGI (volunteered geographic information) projects, and the patterns of such interactions are often shaped by geographies in which the contributors are situated. …”
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Combining handcrafted and learned features using deep learning to improve protein-protein interaction prediction performance by Tran Hoai Nhan, Nguyen Phuc Xuan Quynh, Le Anh Phuong

“…Understanding protein-protein interactions (PPIs) is essential because knowledge regarding PPIs helps in determining the biochemical functions of organisms. …”
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The cognitive impacts of large language model interactions on problem solving and decision making using EEG analysis by Ting Jiang, Jihua Wu, Stephen C. H. Leung

“…Our framework integrates an Interaction-Aware Language Transformer (IALT), which enhances token-level modeling through dynamic attention mechanisms, and an Interaction-Optimized Reasoning Strategy (IORS), which employs reinforcement learning to refine reasoning paths in a cognitively aligned manner.ResultsBy coupling these innovations with real-time neural data, the framework provides a fine-grained, interpretable assessment of LLM-induced cognitive changes. …”
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Enhancing students’ mathematical thinking through culturally responsive algebra instruction using interactive Google Slides by Wilfridus Beda Nuba Dosinaeng, Samuel Igo Leton, Kristoforus Djawa Djong, Irmina Veronika Uskono, Yohanes Ovaritus Jagom, Meryani Lakapu

“…To address this gap, this study presents the development of culturally grounded algebra learning materials using Google Slides, chosen for its accessibility, interactivity, and collaborative features, which offer distinct advantages over conventional static media. …”
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Molecular interaction study of L-Ornithine with bovine serum albumin using spectroscopic and molecular docking methods by Sakshi Koundal, Apoorva Pathania, Harman Deep Kour, Anu Radha Pathania, Jatinder Kaur, Bhanu Juneja, Girish Chandra Sharma, Abhijit Bhowmik, A. Johnson Santhosh

“…Molecular docking techniques are employed to correlate with experimental data from fluorescence and UV spectroscopy analyses.The study uses Fourier transform infrared spectroscopy, UV–Visible spectroscopy, fluorescence spectroscopy, circular dichroism spectroscopy and molecular docking to analyze the interaction between bovine serum albumin and L-ornithine, providing thermodynamic parameters for understanding the protein structure and its binding.The interactions between L-ornithine and bovine serum albumin (BSA) were characterized using UV–visible spectroscopy, which demonstrated a hyperchromic shift. …”
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Predicting emotional responses in interactive art using Random Forests: a model grounded in enactive aesthetics by Xiaowei Chen, Xiaowei Chen, Zainuddin Ibrahim, Azlan Abdul Aziz

“…Predictor variables encompassed sensory stimuli, multimodal interactional features, and immersive environmental cues. …”
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Global Prediction of Whitecap Coverage Using Transfer Learning and Satellite-Derived Data by Jinpeng Qi, Yongzeng Yang, Jie Zhang

“…The model is first pre-trained using modeling data based on statistical wave-breaking theory and subsequently fine-tuned with satellite-derived observations. …”
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