Neural signatures of acute stress on the intention and outcome in third-party punishment: Evidence from univariate and multivariate analysis by Jingjing Chang, Di Song, Ke Yang, Rongjun Yu

“…Specifically, brain regions within the ToM-related network showed an enhanced ability to differentiate between fair and unfair intentions in the stress group. …”
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DoubleNet: A Method for Generating Navigation Lines of Unstructured Soil Roads in a Vineyard Based on CNN and Transformer by Xuezhi Cui, Licheng Zhu, Bo Zhao, Ruixue Wang, Zhenhao Han, Kunlei Lu, Xuguang Feng, Jipeng Ni, Xiaoyi Cui

“…These subnetworks interact through two feature fusion networks, which operate in both the encoder and decoder stages, facilitating a more integrated feature extraction process. …”
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Credit Scoring Prediction Using Deep Learning Models in the Financial Sector by Xi Shi, Dingfen Tang, Yike Yu

“…At the core of our framework is a hybrid neural network architecture, which leverages Long Short-Term Memory (LSTM) units to handle sequential dependencies alongside dense layers that model complex interactions among features. …”
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Upregulation of the Tim-3/galectin-9 pathway of T cell exhaustion in chronic hepatitis B virus infection. by Gaia Nebbia, Dimitra Peppa, Anna Schurich, Pooja Khanna, Harsimran D Singh, Yang Cheng, William Rosenberg, Geoffrey Dusheiko, Richard Gilson, Joanne ChinAleong, Patrick Kennedy, Mala K Maini

“…We investigated whether galectin-9/Tim-3 interactions contribute to the deletion and exhaustion of the antiviral T cell response in chronic hepatitis B virus infection (CHB). …”
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Deep learning-based action recognition for joining and welding processes of dissimilar materials by Tao He, Xinyuan Jin, Yiming Zou

“…To address these limitations, we propose a novel deep learning-based framework specifically designed for action recognition in joining and welding tasks involving dissimilar materials.MethodsOur proposed model, the Multi-Scale Spatiotemporal Attention Network (MS-STAN), leverages advanced hierarchical feature extraction techniques and attention mechanisms to capture fine-grained spatiotemporal patterns across varying scales. …”
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Utilizing deep learning for intelligent monitoring and early warning of slope disasters in public space design by Wang Ting, Ying Wang

“…The integration of neural network-based prediction with adaptive spatial planning enhances both the precision and timeliness of disaster warnings.DiscussionThis framework offers a transformative, safe, and functional approach to slope disaster management in dynamic public spaces. …”
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SpatConv Enables the Accurate Prediction of Protein Binding Sites by a Pretrained Protein Language Model and an Interpretable Bio-spatial Convolution by Mingming Guan, Jiyun Han, Shizhuo Zhang, Hongyu Zheng, Juntao Liu

“…To solve these challenges, we introduce a general network that predicts the binding residues of proteins, peptides, and metal ions on proteins. …”
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BCSM-YOLO: An Improved Product Package Recognition Algorithm for Automated Retail Stores Based on YOLOv11 by Pingqing Hou, Shaoze Huang

“…Subsequently, the Bidirectional Feature Pyramid Network (BiFPN) performs cross-layer bi-directional fusion of the multi-scale features processed by the CBAM to ensure that the feature information at different scales fully interacts and effectively solves the multi-scale target recognition challenges. …”
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Examining The Impact of Various Factors on Working From Home by Muhammad Fajar Nugroho

“…This study focuses on identifying these factors by examining six key variables: the availability of computers and internet networks, the ability to master technology and information, HR governance rules, organizational culture, performance evaluation instruments, and the physical conditions of the working environment. …”
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A transdiagnostic study of theory of mind in children and youth with neurodevelopmental conditions by Kaela Amorim, Marlee M. Vandewouw, Nhu Huynh, Kathrina de Villa, Celine Safati, Aurora Almonte, Rob Nicolson, Elizabeth Kelley, Jennifer Crosbie, Jessica Brian, Evdokia Anagnostou, Margot J. Taylor, Julie Sato

“…Abstract Background Theory of mind (ToM) is fundamental for social interactions, allowing individuals to appreciate that others have their own mental states. …”
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“They were my anchors” Māori with perinatal mental illness identify culturally safe and clinically excellent health care by Cara Meredith, Tracy Haitana, Christina McKerchar, Suzanne Pitama

“…Previous invalidating or traumatic experiences at the clinical interface may impact a person’s ability to trust or feel safe with clinicians. Aim The aim of this paper is to explore Māori mothers’ and birthing parents’ experiences of clinical interactions during the perinatal period to guide clinicians in providing high-quality, culturally safe perinatal mental health care. …”
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Group graph: a molecular graph representation with enhanced performance, efficiency and interpretability by Piao-Yang Cao, Yang He, Ming-Yang Cui, Xiao-Min Zhang, Qingye Zhang, Hong-Yu Zhang

“…The group graph offers three advantages: (a) the substructure of the group graph reflects the diversity and consistency of different molecular datasets; (b) the group graph retains molecular structural features with minimal information loss because the graph isomorphism network (GIN) of the group graph performs well in molecular properties and drug‒drug interactions prediction, showing higher accuracy and efficiency than the model of other molecular graphs, even without any pretraining; and (c) the molecular property may change when the substructure is substituted with another of differing importance in group graph, facilitating the detection of activity cliffs. …”
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Revealing the potential therapeutic mechanism of Lonicerae Japonicae Flos in Alzheimer’s disease: a computational biology approach by Qin Xiang, Qin Xiang, Qin Xiang, Qin Xiang, Yu Xiang, Yao Liu, Yongjun Chen, Qi He, Taolin Chen, Liang Tang, Liang Tang, Binsheng He, Jianming Li

“…Finally, six core targets of MAPK8, CTNNB1, NFKB1, EGFR, BCL2, and NFE2L2 were related to AD progression and had good predictive ability based on correlation and ROC analyses. Molecular docking and dynamics simulation analyses elucidated that the component of lignan interacted with EGFR, the component of β-carotene interacted with CTNNB1 and BCL2, the component of β-sitosterol interacted with BCL2, the component of hederagenin interacted with NFKB1, the component of berberine interacted with EGFR and BCL2, and the component of baicalein interacted with NFKB1, EGFR and BCL2.ConclusionThrough a comprehensive analysis, this study revealed that six core targets (MAPK8, CTNNB1, NFKB1, EGFR, BCL2, and NFE2L2) and six practical components (lignan, β-carotene, β-sitosterol, hederagenin, berberine, and baicalein) were involved in the mechanism of action of LJF against AD. …”
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Harnessing liposomal nanocellulose hydrogel for NIR-light driven on-demand drug delivery by Puja Gangurde, Zahra Gounani, Jacopo Zini, Roberta Teixeira Polez, Monika Österberg, Patrick Lauren, Tatu Lajunen, Timo Laaksonen

“…This study introduces a system by integrating light-activated liposomes with cellulose nanofiber (CNF) hydrogel, creating a controlled release system where liposomes act as drug reservoirs, protecting drug molecules and preventing unwanted cargo leakage for on-demand localized drug delivery. Our surface interaction study between cationic liposomes and nanocellulose shows that the liposomes, while not uniformly distributed, are bound to the nanocellulose hydrogel due to strong electrostatic interactions and fiber networks, thus forming a depot-like drug reservoir system.We evaluated hydrogel thickness and light dose to optimize the cargo release. …”
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Integrative bioinformatic analysis to identify potential phytochemical candidates for glioblastoma by Hafiza Maria Usmani Rana, Haseeb Nisar, Jignesh Prajapati, Dweipayan Goswami, Ravi Rawat, Volkan Eyupoglu, Samiah Shahid, Anum Javaid, Wardah Nisar

“…Furthermore, the hub genes identification through Cytoscape identified the top 10 ranked genes in a network, which were used as targets to dock against phytochemicals retrieved from the NPACT database having the ability to pass the blood-brain barrier and drug-likeness properties. …”
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應用智慧型家教系統於國小學童閱讀策略 教學之學習歷程研究 A Study on the Learning Process of Applying an Autotutoring System to Teach Reading Strategies to Elementary School Children... by 陳茹玲 Ju-Ling Chen, 曾厚強 Hou-Chiang Tseng, 連啟舜 Chi-Shun Lien, 蔡旻穎 Min-Ying Tsai, 宋曜廷 Yao-Ting Sung

“…However, existing research still has some limitations, particularly in addressing cognitive differences among readers and meeting the specific needs of learners with lower reading abilities. Interactive teaching methods, such as teacher-student dialogues, facilitate real-time communication and feedback, supporting active learning and enhancing performance, especially for students with lower reading abilities. …”
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Neuroprotective effects of repetitive transcranial magnetic stimulation on Alzheimer's disease: Undetermined therapeutic protocols and mechanisms by Yang Zhu, Lingyi Liao, Shihao Gao, Yong Tao, Hao Huang, Xiangqin Fang, Changyan Yuan, Changyue Gao

“…In conclusion, the interaction of diverse mechanisms may be responsible for the total therapeutic effect of rTMS on AD. …”
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CGLCS-Net: Addressing Multi-Temporal and Multi-Angle Challenges in Remote Sensing Change Detection by Ke Liu, Hang Xue, Caiyi Huang, Jiaqi Huo, Guoxuan Chen

“…However, when handling remote sensing image data from multiple sensors, different viewing angles, and extended periods, these models show limitations in modelling dynamic interactions and feature representations in change regions, restricting their ability to model the integrity and precision of irregular change areas. …”
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Modeling and Mathematical Analysis of Liquidity Risk Contagion in the Banking System Using an Optimal Control Approach by Said Fahim, Hamza Mourad, Mohamed Lahby

“…The results demonstrate the model’s ability to capture the intricate interactions among major European banks, reflecting the complex realities of the financial system. …”
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Regulation of the cytokine profile of NK cells by the microenvironment factors typical for pregnancy by P. V. Grebenkina, V. A. Mikhailova, O. N. Bespalova, S. A. Selkov, D. I. Sokolov

“…On the basis of these findings, one may propose the existence of a regulatory system that controls activity of NK cells via the cytokine network. These data suggest a potential for using TGF-β1 to model in vitro interactions between NK cells and trophoblasts.…”
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