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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Use Case of Non-Fungible Tokens (NFTs): A Blockchain Approach for Geological Data Dissemination by Muhammad Aufaristama

“…This study outlines the key advantages of NFTs, including immutable record-keeping, enhanced accessibility, clear provenance and ownership, and interoperability across platforms. Specific use cases are highlighted, such as the creation of digital specimen collections, the development of interactive educational resources such as museums, and novel funding mechanisms for research. …”
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Patterns and Relationships of Pesticide Use in Agricultural Crops of Latin America: Review and Analysis of Statistical Data by Licet Olguín-Hernández, José Cruz Carrillo-Rodríguez, Netzahualcóyotl Mayek-Pérez, Teodulfo Aquino-Bolaños, Araceli Minerva Vera-Guzmán, José Luis Chávez-Servia

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Cities in interaction by Antoine Peris

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Guided Decision Tree: A Tool to Interactively Create Decision Trees Through Visualization of Subsequent LDA Diagrams by Miguel A. Mohedano-Munoz, Laura Raya, Alberto Sanchez

“…The nodes’ information contains data about the features that can be used to split and their cut-off values, in order to select them in a guided manner. …”
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Projection and assessment of future droughts in Iowa: developing a machine learning model and an interactive application by Ingrid Cintura, Antonio Arenas

“…The model was trained on historical data from 2012 to 2019 and thoroughly evaluated using out-of-sample data from 2002 to 2011. …”
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Assessing Data Completeness in Emergency Medical Team Reports: Analysis of the Response to Cyclone Idai in Mozambique using the WHO Minimum Data Set by Odgerel Chimed-Ochir, Inn-Kynn Khaing, Ami Fukunaga, Takahito Yoshida, Yuki Takamura, Yui Yumiya, Matchecane Cossa, Isse Ussene, Salio Flavio, Ryoma Kayano, Tatsuhiko Kubo

“…Type 1 Mobile EMTs likely benefited from enhanced training and frequent interactions with data managers, which may have contributed to their higher data completeness compared to Type 1 Fixed EMTs. …”
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Local land‐use decisions drive losses in river biological integrity to 2099: Using machine learning to disentangle interacting drivers of ecological change in policy forecasts by Kimberly Bourne, Ryan S. D. Calder, Shan Zuidema, Celia Y. Chen, Mark E. Borsuk

“…This is partially because climate and LULC perturb ecological outcomes via incompletely understood site‐specific, interacting, and nonlinear mechanisms that are not well suited to analysis using classical statistical methods. …”
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Examining causal factors of traffic conflicts at intersections using vehicle trajectory data by Xiaoyan Xu, Xuesong Wang, Ruolin Shi

“…This study utilized the NGSIM vehicle trajectory datasets to investigate the causal factors in conflicts at intersections by analyzing roadway-to-vehicle and vehicle-to-vehicle interactions. In order to remove the outliers and white noise existing in the raw data, vehicle trajectories were reconstructed by applying discrete wavelet transform and Kalman filtering (KF). …”
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