scHeteroNet: A Heterophily‐Aware Graph Neural Network for Accurate Cell Type Annotation and Novel Cell Detection by Jiacheng Liu, Xingyu Fan, Chunbin Gu, Yaodong Yang, Bian Wu, Guangyong Chen, Chang‐Yu Hsieh, Pheng‐Ann Heng

“…Abstract Single‐cell RNA sequencing (scRNA‐seq) has unveiled extensive cellular heterogeneity, yet precise cell type annotation and the identification of novel cell populations remain significant challenges. scHeteroNet, a novel graph neural network framework specifically designed to leverage heterophily in scRNA‐seq data, is presented. …”
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Graph Neural Network Classification in EEG-Based Biometric Identification: Evaluation of Functional Connectivity Methods Using Time-Frequency Metric by Roghaieh Ashenaei, Ali Asghar Beheshti Shirazi

“…To address this, we introduce two novel time-frequency FC metrics: 1) Multi-band Coherency, which integrates features across delta, theta, alpha, and beta bands to enhance robustness and discriminability; and 2) wavelet coherency, addressing the non-stationarity of EEG signals, models phase lead-lag interactions and temporal variations. Integrated with Graph Convolutional Neural Networks (GCNNs), our approach leverages graph-structured FC data for superior classification. …”
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Catabolic pathway acquisition by rhizosphere bacteria readily enables growth with a root exudate component but does not affect root colonization by Stephan Christel, Alyssa A. Carrell, Leah H. Hochanadel, Manuel I. Villalobos Solis, Paul E. Abraham, Sara S. Jawdy, Julie E. Chaves, Nancy L. Engle, Timkhite-Kulu Berhane, Tao Yao, Jin-Gui Chen, Wellington Muchero, Timothy J. Tschaplinski, Melissa A. Cregger, Joshua K. Michener

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Implementation Of Deep Learning Using Convolutional Neural Network Method In A Rupiah Banknote Detection System For Those With Low Vision by Dinul Akhiyar, Tukino Tukino, Sarjon Defit

“…The application of deep learning in various sectors continues to grow due to its ability to provide efficient and effective solutions to complex problems. …”
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Conductive hydrogel based on dual-network structure with high toughness, adhesion, self-healing and anti-freezing for flexible strain sensor by Ya Wen, Ling Yi Zeng, Xin Chun Wang, Hong Mei Chen, Xiu Chen Li, Hai Liang Ni, Wen Hao Yu, Yue Feng Bai, Ping Hu

“…In addition, this triple helix structure can dissociate and recombine at different temperatures, and interact with other dynamic bonds (hydrogen bonds, Al3+ coordination) in the system, so that the hydrogel has excellent self-healing ability (healing rate up to 86.8 %). …”
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UV Hyperspectral Imaging with Xenon and Deuterium Light Sources: Integrating PCA and Neural Networks for Analysis of Different Raw Cotton Types by Mohammad Al Ktash, Mona Knoblich, Max Eberle, Frank Wackenhut, Marc Brecht

“…Furthermore, a deep learning technique called a fully connected neural network for classification was applied. The classification accuracy for the XBO and deuterium light sources reached 83.6% and 90.1%, respectively. …”
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Development of Women Resilience in the Workplace: A Solution to Break the Glass Ceiling by Farajallah Rahimi, Maral Ahmadi Arpanahi

“…An analysis of informal social networks by. International Journal of Entrepreneurship, 14(1), 1-12.Rowley, C., Kang, H. …”
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The Role of miRNA in Plant Adaptation to Abiotic Stress by Mohammad Hadi Taleb, Ahmad Arzani

“…Plants can sense environmental stimuli and activate defense mechanisms through various regulatory networks, including small RNAs, to combat abiotic stressors. …”
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Integrating molecular docking and network pharmacology to reveal the molecular mechanisms of Anemarrhena asphodeloides in the treatment of non-small cell lung cancer by Xianshun Xie, Yiling Jiang, Sumei Liu, Changjun Xie

“…Active compounds of Anemarrhena asphodeloides and their relevant targets were identified by network pharmacology methods. Key targets influenced by Anemarrhena asphodeloides in NSCLC were analyzed using the String 11.0 database to construct a PPI network. …”
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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

“…TGU is responsible for guiding and regulating the fusion process of other modal information, while TCAT improves the model’s ability to capture the relationship between features of different modalities and achieves effective feature interaction. …”
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Investigating the relationship between human capital and innovation with the mediating role of knowledge sharing and social media networking in iranian creative companies by Hashem Atapour, Afshin Hamdipour, Sahar Safipour

“…This underscores the importance of creating supportive infrastructures that encourages the free flow of knowledge and leverages social media networking, which enable companies to unlock significant innovative capabilities.The role of knowledge sharing as a mediator in this relationship can be further elucidated through social exchange theory, which highlights the importance of reciprocal interactions and the sharing of information and resources among employees. …”
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Enhancing Small Language Models for Graph Tasks Through Graph Encoder Integration by Dongryul Oh, Sujin Kang, Heejin Kim, Dongsuk Oh

“…However, their performance is often limited when processing complex data structures such as graphs, which are ubiquitous in real-world datasets like social networks and system interactions. Graphs inherently encode intricate structural dependencies, requiring models to effectively capture both local and global relationships. …”
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Forecasting of the Geomagnetic Activity for the Next 3 Days Utilizing Neural Networks Based on Parameters Related to Large‐Scale Structures of the Solar Corona by Tingyu Wang, Bingxian Luo, Jingjing Wang, Xianzhi Ao, Liqin Shi, Qiuzhen Zhong, Siqing Liu

“…The model outperforms an empirical model and two ML models in terms of event detection ability for horizons longer than one day. This study offers a new approach for 3‐day geomagnetic disturbance forecasting using a deep neural network.…”
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Inter-agency collaboration to support the COVID-19 response and maintain malaria services in Guinea and Sierra Leone: A social network analysis. by Lukas Feddern, Ibrahima Kaba, Hanna-Tina Fischer, Brogan Geurts, Habibata Balde, Andrea Bernasconi, Vitali Merhi, Rike Böttcher, Karim Dumbuya, Francisco Pozo-Martin, Thurid Bahr, Sara Menelik-Obbarius, Karoline Stein, Abdul Karim Mbawah, Alexandre Delamou, Heide Weishaar, Charbel El-Bcheraoui

“…Focusing on malaria during the COVID-19 pandemic as a case study, this paper investigates the network of organisations fighting malaria in Guinea and Sierra Leone, the changes in their interactions during the pandemic, and their collaboration with organisations addressing the COVID-19 response. …”
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CFRANet: Cross-Modal Frequency-Responsive Attention Network for Thermal Power Plant Detection in Multispectral High-Resolution Remote Sensing Images by Qinxue He, Bo Cheng, Xiaoping Zhang, Yaocan Gan

“…To address these limitations, we propose a novel Cross-Modal Frequency-Responsive Attention Network (CFRANet). Specifically, the Modality-Aware Fusion Block (MAFB) facilitates the integration of multi-modal features, enhancing inter-modal interactions. …”
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3D medical image segmentation using the serial–parallel convolutional neural network and transformer based on cross‐window self‐attention by Bin Yu, Quan Zhou, Li Yuan, Huageng Liang, Pavel Shcherbakov, Xuming Zhang

“…Abstract Convolutional neural network (CNN) with the encoder–decoder structure is popular in medical image segmentation due to its excellent local feature extraction ability but it faces limitations in capturing the global feature. …”
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A Socially Assistive Robot as Orchestrator of an AAL Environment for Seniors by Carlos E. Sanchez-Torres, Ernesto A. Lozano, Irvin H. López-Nava, J. Antonio Garcia-Macias, Jesus Favela

“…Our approach leverages the social robot’s ability to engage in natural interactions while managing the complex network of environmental and wearable sensors and actuators. …”
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Slower Ageing of Cross-Frequency Coupling Mechanisms Across Resting-State Networks Is Associated with Better Cognitive Performance in the Picture Priming Task by Vasily A. Vakorin, Taha Liaqat, Hayyan Liaqat, Sam M. Doesburg, George Medvedev, Sylvain Moreno

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Extracellular Vesicle Crosslinkers Constructing Hydrogels with Stress‐Relaxation and Bioactive Protein Modification by Lufeng Shi, Yanzhen Jing, Haowen Lu, Fanxuan Zhao, Mengying An, Shuiling Jin, Chang Gao, Yongdong Dai, Yinxin Zhu, Shuxu Yang, Songying Zhang, Xuesong Ye, Xiujun Cai, Yifan Wang, Shangjing Xin

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The Brain in Cross-Cultural Adjustment: A Pilot Study of Japanese Expatriates Living in the United States by Keisuke Kokubun, Kiyotaka Nemoto, Yoshinori Yamakawa

“…A relationship was also shown between the local GMV of the default mode network and central executive network and interaction adjustment. …”
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