Predicting student achievement through peer network analysis for timely personalization via generative AI by Ivica Pesovski, Petar Jolakoski, Vladimir Trajkovik, Zuzana Kubincova, Michael A. Herzog

“…Results: Eigenvector centrality of the peer collaboration network was identified as the best predictor of student achievement. …”
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Construction and effect of interactive teaching methods in the college badminton classroom using fuzzy-assisted virtual reality modeling: a case study in Chinese universities by Yinghao Li, Mohd Jawis

“…The article proposes VR-ITM, or fuzzy-assisted  VR interactive teaching techniques, to teach badminton in universities using neural networks. …”
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Melt‐Processable and Electrospinnable Shape‐Memory Hydrogels by Turdimuhammad Abdullah, Cagatay Altınkok, Oguz Okay

“…For example, the preparation of a hydrogel network that can be subjected to melt processing and electrospinning is challenging. …”
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Identification of the hsa_circ_0001314-Related ceRNA Network in Breast Cancer With Bioinformatics Analysis by Yuge Ma, Bing Zhang, Liping Wang, Wei Rong, Ting Liu

“…The research demonstrated that knocking down the expression level of hsa_circ_0001314 significantly inhibited cell proliferation, migration, and invasion abilities while notably promoting cell apoptosis. Bioinformatics methods were used to predict downstream miRNAs and mRNAs that may interact with hsa_circ_0001314, constructing a ceRNA regulatory network related to hsa_circ_0001314. …”
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Algorithmic Literacy and the Role of Librarians in Its Education by Shahnaz Khademizadeh, Mohammad Amin Sekhavatmanesh

“…Objective: Considering the increasing spread of artificial intelligence and its algorithm-oriented nature and the increasing interaction of users with these algorithms in various platforms such as social networks, online stores, and search engines, the present study intends to examine the concept and necessity of algorithmic literacy and, in the following, the role of librarians who are actually specialists in information science in the education and development of this literacy. …”
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Research on Differential Brain Networks before and after WM Training under Different Frequency Band Oscillations by Yin Tian, Huishu Zhou, Huiling Zhang, Tianhao Li

“…Electroencephalogram (EEG) coherence and graph theory can be used to measure functional connections between different brain regions and information interaction between different clusters of neurons. At the same time, it was found that better cognitive performance of individuals indicated stronger small-world characteristics of resting-state WM networks. …”
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VMMCD: VMamba-Based Multi-Scale Feature Guiding Fusion Network for Remote Sensing Change Detection by Zhong Chen, Hanruo Chen, Junsong Leng, Xiaolei Zhang, Qi Gao, Weiyu Dong

“…To guarantee the efficiency of change detection, encompassing both speed and accuracy, a VMamba-based Multi-scale Feature Guiding Fusion Network (VMMCD) is proposed. This network is capable of promptly modeling global relationships and realizing multi-scale feature interaction. …”
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Cognition as a predictor of social network size and early communication in clinically high risk for psychosis individuals by Nashya Linares, Danielle N. Pratt, Katherine S.F. Damme, Vijay A. Mittal

“…This study is the first investigation into the relationships between general and specific domains of cognition and social network and communication abilities in people at CHR. …”
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Assessment of the effect of social media use on medical students’ academic performance: cross-sectional study from Jordan by Hana Taha, Hana Taha, Diana Abu-Surrah, Luna Abu-Awadh, Ameen Mahmoud, Tamara Al-Qadi, Layan Al Hamdan, Moumen Hijazi, Abdulla Al Ani, Vanja Berggren

“…Approximately 64.6% of the students indicated that using social media is distracting, decreases their ability to focus (65.3%) and delays their daily tasks (61.8%). …”
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Network Pharmacology and Molecular Docking Approach to Reveal the Immunotherapeutic Mechanism of Cuscutae Semen in Treating Thin Endometrium by Wenyan Zhang, Yuan Yuan, Guangrong Huang

“…There were 68 nodes with 722 edges in the PPI network; HIF1A, MYC, ESR1, and EGFR were the top 4 targets. …”
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The efficient prediction of inflammatory osteolysis caused by polylactic acid through network toxicology and molecular docking strategy by Zichen Cui, Tian He, Shuo Zhang

“…The result from integrating and screening targets from multiple databases identified 126 potential targets associated with PLA-induced inflammatory osteolysis, and then an interaction network diagram of the targets was constructed. …”
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ES-Net Empowers Forest Disturbance Monitoring: Edge–Semantic Collaborative Network for Canopy Gap Mapping by Yutong Wang, Zhang Zhang, Jisheng Xia, Fei Zhao, Pinliang Dong

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A Dual-Branches Multiscale Dynamic Partial Convolutional Attention Network for Remote Sensing Change Detection by Wenbin Tang, Shuli Cheng, Anyu Du

“…In recent years, convolutional neural networks have achieved significant results in this task, but they lack the ability to model global features, leading to suboptimal performance in complex scenarios. …”
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AutoTarget: Disease-Associated druggable target identification via node representation learning in PPI networks by Hyunseung Kong, Inyoung Kim, Byoung-Tak Zhang

“…This study presents AutoTarget, a novel computational pipeline designed to identify disease-associated druggable targets by applying node representation learning to protein–protein interaction (PPI) networks. AutoTarget uses node2vec + for node classification, incorporating neighborhood context and structural equivalence in PPI networks derived from the STRING database. …”
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SHEIB-AGM: A Novel Stochastic Approach for Detecting High-Order Epistatic Interactions Using Bioinformation With Automatic Gene Matrix in Genome-Wide Association Studies by Liyan Sun, Guixia Liu, Rongquan Wang

“…Detecting epistatic interactions in GWAS (genome-wide association studies) data is of great significance in studying common and complex diseases; however, the ability to detect high-order epistatic interactions in GWAS data is still insufficient. …”
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Advisors as key partners for achieving adoption at scale: embedding “My Climate View” into agricultural advisory networks by Emma Jakku, Aysha Fleming, Simon Fielke, Stephen Snow, Yuwan Malakar, Gillian Cornish, Rachel Hay, Liana Williams

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Prediction of potential targets of aloe-emodin in the treatment of hepatocellular carcinoma using network pharmacology combined with bioinformatics by Jinlong Wei, Haosong Chen, Maoqi Xu, Zhenglin Zhang, Jin Wang, Wen Jiang, Weiguo Zhou, Maoming Xiong

“…Moreover, the potential targets of AE were enriched and analyzed to identify potential downstream pathways. The binding ability and interaction between the above drug targets and AE were analyzed by molecular docking. …”
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Developmental maturation of dynamic causal control signals in higher-order cognition: a neurocognitive network model. by Kaustubh Supekar, Vinod Menon

“…Overall, our study demonstrates how a unified neurocognitive network model when combined with multimodal imaging enhances our ability to generalize beyond individual task-activated foci and provides a common framework for elucidating key features of brain and cognitive development. …”
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MLHI-Net: multi-level hybrid lightweight water body segmentation network for urban shoreline detection by Jianhua Ye, Pan Li, Yunda Zhang, Ze Guo, Shoujin Zeng, Youji Zhan

“…The over-parameterized convolutional layers enhance the interactive ability of feature representation and context information. …”
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Enhanced pedestrian trajectory prediction via overlapping field-of-view domains and integrated Kolmogorov-Arnold networks. by Hongxia Wang, Yang Liu, Zhenkai Nie

“…By rigorously dividing monocular and binocular overlapping visual regions and utilizing different influence factors, the model pedestrian interactions more realistically. The Kolmogorov-Arnold Networks (KANs) combined with Temporal Convolutional Networks (TCNs) greatly improve the ability to extract temporal features. …”
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