Genome-Wide Identification and Expression Analysis of the G-Protein Gene Family in Barley Under Abiotic Stresses by Ailing Han, Zhengyuan Xu, Zhenyu Cai, Yuling Zheng, Mingjiong Chen, Liyuan Wu, Qiufang Shen

“…Heterotrimeric G-proteins are fundamental signal transducers highly conserved in plant species, which play crucial roles in regulating plant growth, development, and responses to abiotic stresses. Identification of G-protein members and their expression patterns in plants are essential for improving crop resilience against environmental stresses. …”
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Analysis of Points of Interest in Hsinchu Old City Blocks Using Space Syntax by Shaofu Li

“…A social responsibility program was also developed to investigate the rise and fall of cities in the development process.…”
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A Network Approach for Discovering Spatially Associated Objects by Changfeng Jing, Tao Liang, Yunlong Feng, Jianing Li, Sensen Wu, Jiale Ding, Gaoran Xu, Yang Hu

“…Here, the concept of a maximum topological accessibility path was developed to quantify objects’ similarity attenuation. …”
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The effect application of nitrogen levels and intercropping ratios of pea (Pisum sativum) and lettuce (Lactuca sativa) by Elham Raftari, Ali Nakhzari Moghaddam, Mehdi Mollashahi, Hossein Hosseini Moghaddam

“…Introduction    The practice of growing two or more crops simultaneously in the same field is called intercropping and it is a common feature in traditional farming of small landholders. …”
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Deviations From Normative Functioning Underlying Emotional Episodic Memory Revealed Cross-Scale Neurodiverse Alterations Linked to Affective Symptoms in Distinct Psychiatric Disord... by Yang Xiao, Mingzhu Li, Xiao Zhang, Yuyanan Zhang, Yuqi Ge, Zhe Lu, Mengying Ma, Yuqing Song, Hao-Yang Tan, Dai Zhang, Weihua Yue, Hao Yan

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Linguistic Analysis of Unplanned Discourse in David Sedaris “Calypso” by Binin Mustafa Saeed, Rozgar Yousif Omar

“…This study thoroughly examines a range of grammatical features and patterns seen in conversational discourse. …”
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Atypical cristae in bundle sheath mitochondria in leaves of Atriplex tatarica (Chenopodiaceae s. str. / Amaranthaceae s. l.) by Fediuk O., Bilyavska N., Akimov Yu., Zolotareva O.

“…Electron microscopic analysis of leaf ultrastructure patterns of Atriplex tatarica (Chenopodiaceae s. str. / Amaranthaceae s. l.) revealed a prominent feature in mitochondria in bundle sheath cells (BSCs). …”
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Artificial intelligence analysis in cyber domain: A review by Liguo Zhao, Derong Zhu, Wasswa Shafik, S Mojtaba Matinkhah, Zubair Ahmad, Lule Sharif, Alisa Craig

“…A data set of average feature counts has been executed through a Splunk search command in 1-min intervals. …”
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Advancing sedimentation modeling in large reservoir systems: Insights from multi-scale process coupling and machine learning by Yuning Tan, Huaixiang Liu, Yongjun Lu, Zhili Wang, Wenjie Li

“…Random Forest outperformed XGBoost, Support Vector Regression, and Artificial Neural Network, demonstrating the most robust performance and the clearest feature attribution. Our climate scenario simulations revealed uneven sedimentation patterns and projected declining sedimentation rates over the next 30 years. …”
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Optimizing Sensitivity in Machine Learning Models for Pediatric Post-operative Kyphosis Prediction by Raja Ayu Mahessya, Dian Eka Putra, Rostam Ahmad Efendi, Rayendra, Rozi Meri, Riyan Ikhbal Salam, Dedi Mardianto, Ikhsan, Ismael, Arif Rizki Marsa

“…This study demonstrates the capacity of decision tree models to extract clinically meaningful patterns from small, imbalanced surgical datasets that elude conventional statistical approaches.…”
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Predicting female football outcomes by machine learning: behavioural analysis of goals as high stress events by Aratz Olaizola, Ibai Errekagorri, Elsa Fernández, Julen Castellano, John Suckling, Karmele Lopez-de-Ipina

“…We applied a comprehensive approach that integrates spatiotemporal and behavioural data during the transitional period following goals focusing on team dynamics, including chaotic and collective behavioural analysis with entropy and fractality, spatial area, movement trajectories, and locomotor patterns. Several well-established ML models and feature extraction techniques were deployed with overall good performance of greater than 70% accuracy, with some specific methodology combinations have superior performance. …”
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Improving ICESat-2 photon classification and tree height estimation using Moran's I and machine learning by Mei-Kuei Lu, Sorin Popescu, Lonesome Malambo

“…Random Forest models were developed and compared, with one model incorporating Moran's I to capture spatial patterns. …”
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Cognitive constraints and lexicogrammatical variability in ASD: from diagnostic discriminators to intervention strategies by Sumi Kato, Sumi Kato, Kazuaki Hanawa

“…To clarify which linguistic variables contribute to this differentiation, the analysis focused on identifying key syntactic features associated with ASD-specific patterns of lexicogrammatical choices.MethodsThis study used the Tag Linear Model, developed in prior work, which enables identification of specific lexicogrammatical discriminators. …”
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Generation of diverse biological forms through combinatorial interactions between tissue polarity and growth. by Richard Kennaway, Enrico Coen, Amelia Green, Andrew Bangham

“…The resulting growth depends on how specified growth patterns interact within the constraints of mechanically connected tissue. …”
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Research on Machine Vision–Based Intelligent Tracking System for Maintenance Personnel by Yinglin Ma, Hongmei Shi, Yao Wang, Baofeng Li

“…A tracking and monitoring system was developed, effectively identifying and tracking maintenance activities, demonstrating a strong practical value. …”
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Mentality in the Context of Interaction Between Social and Virtual Reality by Yulia V. Gavrilova

“…A feature of the modern world is the integration of social and virtual realities: the area of their correlation is being formed, in which the processes of human life activity take place. …”
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Hybrid mechanism‐data‐driven iron loss modelling for permanent magnet synchronous motors considering multiphysics coupling effects by Lin Liu, Wenliang Yin, Youguang Guo

“…Purely mechanistic models require detailed theoretical knowledge and exact parameters, often struggling to accurately describe complex systems, while purely data‐driven methods lack interpretability, which are susceptible to data noise and outliers in feature extraction and complicated pattern recognition. …”
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Graph-informed convolutional autoencoder to classify brain responses during sleep by Sahar Zakeri, Somayeh Makouei, Sebelan Danishvar

“…The accuracy of the SlS-GICA classifier is 99.92% on the significant feature set. This achievement could be considered in real-time and automatic applications to develop new therapeutic strategies for sleep-related disorders.…”
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Advances in Bract Coloration: Diversity, Pigment Synthesis, and Regulatory Mechanisms in Ornamental Plants by Xiaoyang Li, Yang Liu, Zhiquan Cai, Yiwei Zhou

“…While previous research has primarily focused on floral pigmentation, studies on bract coloration—particularly in species where bracts serve as the primary ornamental feature—have received less attention until recent advances. …”
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An Explainable Hybrid CNN–Transformer Architecture for Visual Malware Classification by Mohammed Alshomrani, Aiiad Albeshri, Abdulaziz A. Alsulami, Badraddin Alturki

“…Visual malware classification, which transforms malware binaries into grayscale images, has emerged as a promising alternative for recognizing patterns in malicious code. This study presents a hybrid deep learning architecture that combines the local feature extraction capabilities of ConvNeXt-Tiny (a CNN-based model) with the global context modeling of the Swin Transformer. …”
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