Exosomes originating from neural stem cells undergoing necroptosis participate in cellular communication by inducing TSC2 upregulation of recipient cells following spinal cord inju... by Shiming Li, Jianfeng Li, Guoliang Chen, Tao Lin, Penghui Zhang, Kuileung Tong, Ningning Chen, Shaoyu Liu

“…We previously demonstrated that inhibiting neural stem cells necroptosis enhances functional recovery after spinal cord injury. While exosomes are recognized as playing a pivotal role in neural stem cells exocrine function, their precise function in spinal cord injury remains unclear. …”
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A Model of Basement Membrane-Associated Gene Signature Predicts Liver Hepatocellular Carcinoma Response to Immune Checkpoint Inhibitors by Jiajia Shen, Zhihong Wei, Lizhi Lv, Jingxiong He, Suming Du, Fang Wang, Ye Wang, Lin Ni, Xiaojin Zhang, Fan Pan

“…Moreover, we performed Weighted Correlation Network Analysis (WGCNA) on the above three subgroups and obtained 179 intersecting genes. …”
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SerpinE2 promotes M2 polarization in macrophage to accelerate colorectal cancer progression by Hui-Long Liu, XiaoSheng Gao, WeiFeng Yang, Wang-Lin Li

“…In this study, we want to investigate the potential mechanism of SERPINE2 in tumor microenvironment of colon cancer.MethodsBioinformatics analysis was used for exploring the mRNA expression level of SERPINE family in Pan-cancer, the prognostic significance of SERPINE family overexpression in four cancer types, the clinical relevance of SERPINE2 and the potential function of SERPINE2 in colorectal cancer. We conducted qRT-PCR, Western blot and ELISA to investigate the expression of SERPINE2. …”
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Kinesiophobia and its associated factors among patients after transcatheter aortic valve replacement: a cross-sectional study based on latent profile analysis by Zhiyun Shen, Dandan Geng, Chenxu Huang, Daxin Zhou, Xiaohua Xu, Ying Lin, Yuxia Zhang

“…Factors influencing the levels of kinesiophobia across the three latent profiles included education level, aortic stenosis flow type, number of comorbidities, postoperative NYHA cardiac function classification, preoperative physical activity level, social networks, and exercise self-efficacy. …”
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Frequency experimental identification approach for single-phase induction motor common-mode parameters by Y. Hakmi, H. Miloudi, M. Miloudi, A. Gourbi, M. H. Bermaki

“…The motor impedance analysis is based on the measurement of variations in motor characteristics as a function of frequency in the CM setup. Originality. …”
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Observer-based event triggering security load frequency control for power systems involving air conditioning loads by Xiaoming Wang, Yunlong Bai, Zhiyong Li, Wenguang Zhao, Shixing Ding

“…To address the challenges posed by limited network bandwidth and potential message blocking, the ETM minimizes communication while defending against DoS attacks. …”
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Identification and Immunological Characterization of Cuproptosis Related Genes in Preeclampsia Using Bioinformatics Analysis and Machine Learning by Tiantian Yu, Guiying Wang, Xia Xu, Jianying Yan

“…We identified 10 DECRGs conducted Gene Ontology (GO) function, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, and a protein–protein interaction (PPI) network. …”
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Fine-Grained Local and Global Semantic Fusion for Multimodal Image–Text Retrieval by Shenao Peng, Zhongmei Wang, Jianhua Liu, Changfan Zhang, Lin Jia

“…Finally, a triplet loss function is used to train the entire model, and it is enhanced with an angular constraint. …”
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Deprescribing anticholinergics to preserve brain health: reducing the risk of dementia through deprescribing (R2D2): study protocol for a randomized clinical trial by Noll L. Campbell, Richard J. Holden, Sujuan Gao, Frederick W. Unverzagt, Kathleen A. Lane, Allie Carter, Addison B. Harrington, Sneha Manoharan, Neha Manoharan, Danielle L. Rosenthal, Christopher Pitts, Kathryn Pelkey, Emily Papineau, David M. Lauck, Noha Keshk, Khalid Alamer, Hussein Khalil, Malaz A. Boustani

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Research on multi-objective hierarchical site selection coverage of fire station. by Junjie He, Xin Guan, Houjun Lu, Juntao Yang

“…By introducing the coverage attenuation function, the multi-objective level fire station location model covering the maximum fire risk value and the minimum construction cost of the fire station was established. …”
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Metro Train Stopping Scheme Decision Based on Multisource Data in Express-Local Train Mode by Jin Li, Yaqiu Wang, Shiyin Zhang, Huasheng Liu

“…Based on the multisource data, the spatial weight function is introduced to fuse the point of interest data and real estate information data, from which one obtains the residential index and office index, and the cluster analysis is conducted to obtain the potential stop scheme. …”
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Monocular vision measurement error prediction and feedback control for a planar manipulator by Yong Chen, Jiahua Zou, Mian Jiang, Lingbo Xie, Zhen Xu

“…Second, the visual measurement errors of the entire workspace are obtained using visual measurement error prediction based on radial basis function neural network spatial interpolation. The measurement accuracy of the visual measurement system was improved by 91.1%. …”
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MMFOSOM: A Novel Multi-objective Moth–Flame Optimization Algorithm Based on Self-Organizing Mapping by Zhifu Li, Ziyang Zheng, Chengkai Ni, Mingzong Li

“…To validate the effectiveness of the algorithm, experiments will be conducted on a set of multi-objective optimization test functions. …”
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Perencanaa Perencanaan Pengembangan Terminal Penumpang Jetak Kecamatan Kaliwungu Kabupaten Kudus by ilham putra

“…Kudus is a type C passenger terminal, but along with the development of transportation, this terminal has changed its function to a type B terminal, so it is necessary to develop the terminal in terms of capacity and infrastructure. …”
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Enhancing Spreading Factor Assignment in LoRaWAN with a Geometric Distribution Approach for Practical Node Distributions by Phanupong Tempiem, Rardchawadee Silapunt

“…This paper proposes the GD (Geometric Distribution) algorithm, a novel approach to enhance the default Adaptive Data Rate (ADR) mechanism in the Long-Range Wide Area Network (LoRaWAN). By leveraging the Probability Mass Function (PMF) of the GD model, the algorithm effectively addresses biased node distributions encountered in real-world scenarios. …”
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Balancing Data Privacy and 5G VNFs Security Monitoring: Federated Learning with CNN + BiLSTM + LSTM Model by Abdoul-Aziz Maiga, Edwin Ataro, Stanley Githinji

“…The cloudification of telecommunication network functions with 5G is a novelty that offers higher performance than that of previous generations. …”
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Neuroradiological Evaluation of Anatomo-Morphometric Arcuate Fascicle Modifications According to Different Brain Tumor Histotypes: An Italian Multicentric Study by Roberto Altieri, Andrea Bianconi, Stefano Caneva, Giovanni Cirillo, Fabio Cofano, Sergio Corvino, Oreste de Divitiis, Giuseppe Maria Della Pepa, Ciro De Luca, Pietro Fiaschi, Gianluca Galieri, Diego Garbossa, Giuseppe La Rocca, Salvatore Marino, Edoardo Mazzucchi, Grazia Menna, Antonio Mezzogiorno, Alberto Morello, Alessandro Olivi, Michele Papa, Daniela Pacella, Rosellina Russo, Giovanni Sabatino, Giovanna Sepe, Assunta Virtuoso, Giovanni Vitale, Rocco Vitale, Gianluigi Zona, Manlio Barbarisi

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Comparison of Different Machine Learning Methodologies for Predicting the Non‐Specific Treatment Response in Placebo Controlled Major Depressive Disorder Clinical Trials by Roberto Gomeni, Françoise Bressolle‐Gomeni

“…Treatment effect in randomized, placebo‐controlled trials, is usually estimated by the mean baseline adjusted difference of treatment response in active and placebo arms and is function of treatment‐specific and non‐specific effects. …”
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Patient Knowledge of Risk Factors for Age-Related Macular Degeneration by Benjamin Sommer Thinggaard, Yousif Subhi, Jakob Grauslund, Lonny Stokholm

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Utilizing MFCCs and TEO-MFCCs to Classify Stress in Females Using SSNNA by Nur Aishah Zainal, Ani Liza Asnawi, Siti Noorjannah Ibrahim, Nor Fadhillah Mohamed Azmin, Norharyati Harum, Nora Mat Zin

“…With the assistance of the Stress Speech Neural Network Architecture (SSNNA), an improved accuracy of 93.9% was achieved. …”
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