Longitudinal assessment of peripheral organ metabolism and the gut microbiota in an APP/PS1 transgenic mouse model of Alzheimer’s disease by Hongli Li, Jianhua Huang, Di Zhao, Lemei Zhu, Zheyu Zhang, Min Yi, Weijun Peng

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Sequence Modeling of Passive Sensing Data for Treatment Response Prediction in Major Depressive Disorder by Bochao Zou, Xiaolong Zhang, Le Xiao, Ran Bai, Xin Li, Hui Liang, Huimin Ma, Gang Wang

“…To overcome that, the proposed approach combined feature extraction and sequence modeling methods to fully utilize the pattern of missing values from longitudinal data. …”
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Sequence-Information Recognition Method Based on Integrated mDTW by Boliang Sun, Chao Chen

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Human brain single-cell data reveal shared synaptic dysfunction and immune abnormality in epilepsy and Alzheimer′s disease by YU Xiaolin, ZHANG Erning, SHA Longze

“…Objective To identify co-expressed genes and potential comorbidity mechanisms between Alzheimer′s disease(AD) and epilepsy with publicly available single-cell transcriptome sequencing data from human brains, followed by functional validation in APP/PS1 double transgenic AD mouse models expressing the chimerical Mo/HuAPP695swe amyloid precursor protein and mutant PS1-dE9 presenilin 1. …”
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Optimizing DNA Sequence Classification via a Deep Learning Hybrid of LSTM and CNN Architecture by Elias Tabane, Ernest Mnkandla, Zenghui Wang

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LPBERT: A Protein–Protein Interaction Prediction Method Based on a Pre-Trained Language Model by An Hu, Linai Kuang, Dinghai Yang

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A Second-Classroom Personalized Learning Path Recommendation System Based on Large Language Model Technology by Qiankun Yang, Changyong Liang

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clonevdjseq: A workflow and bioinformatics management system for sequencing, archiving, and analysis of VDJ sequences from clonal libraries by Keith Mitchell, Samuel Hunter, Lutz Froenicke, Karl Murray, Matthew Settles, James S. Trimmer

“…The results of this effort has yielded sequences used to develop functional recombinant monoclonal antibodies and single chain variable fragments as a part of the NeuroMabSeq initiative where thousands of hybridoma samples were processed (Mitchell et al. in Sci Rep 13(1):16200, 2023) as well as provide additional modeling and extensibility to other modalities. …”
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Comprehensive analysis of single-cell and bulk RNA sequencing data unveils antigen-presenting and processing fibroblasts and establishes a predictive model in gastric cancer by Chenggang Zhang, Fangqi Chen, Jie Li, Yixuan He, Juan Sun, Zicheng Zheng, Guanmo Liu, Yihua Wang, Weiming Kang, Xin Ye

“…LASSO and multivariate Cox regression analysis were conducted to establish the predictive model. Immunohistochemistry of GC tissue microarrays was performed to validate the model. …”
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FedscGen: privacy-preserving federated batch effect correction of single-cell RNA sequencing data by Mohammad Bakhtiari, Stefan Bonn, Fabian Theis, Olga Zolotareva, Jan Baumbach

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Advanced Hyena Hierarchy Architectures for Predictive Modeling of Interest Rate Dynamics from Central Bank Communications by Tao Song, Shijie Yuan, Rui Zhong

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Blockchain-Enabled Privacy-Preserving Ecosystem for DNA Sequence Sharing by Thi-Thanh-An Nguyen, Yu-Heng Hsieh, Ching-Hsi Tseng, Yu-Chen Lin, Shyan-Ming Yuan

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Research on Construction Sequencing and Deformation Control for Foundation Pit Groups by Ziwei Yin, Ruizhe Jin, Shouye Guan, Zhiwei Chen, Guoliang Dai, Wenbo Zhu

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KaiXinSan-JiaWei ameliorates cognitive dysfunction in APP/PS1 mice by intervening in gut microbiota and its metabolites by Lulu Mana, Fang Chen, Xiaoxia Yuan

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A Novel Reconstruction Method for Irregularly Sampled Observation Sequences for Digital Twin by Haonan Jiang, Yanbo Zhao, Qiao Zhu, Yuanli Cai

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The impact of the Change4Life Food Scanner app on children’s diets and parental psychological outcomes: a randomised pilot and feasibility study by Sundus Mahdi, Jim Chilcott, Nicola J. Buckland

“…Methods Adopting a non-blinded parallel trial design, 126 parents of 4-11 year olds were randomly assigned (1:1) through block randomisation sequences into a 3-month intervention consisting of exposure to the Food Scanner app (version 1.6; [n = 62]) or no intervention (n = 64). …”
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A promising drug repurposing approach for Alzheimer's treatment: Givinostat improves cognitive behavior and pathological features in APP/PS1 mice by Qi-Chao Gao, Ge-Liang Liu, Qi Wang, Sheng-Xiao Zhang, Zhi-Lin Ji, Zhao-Jun Wang, Mei-Na Wu, Qi Yu, Pei-Feng He

“…Transcriptome sequencing revealed increased expression of mitochondrial respiratory chain complex proteins in the brains of APP/PS1 mice after Givinostat treatment. …”
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Acupuncture Ameliorates Alzheimer’s-Like Cognitive Impairment and Pathological Changes via Regulating the Intestinal Fungal Community in APP/PS1 Mice by Hao X, Ding N, Zhang Y, Wu M, Tao Y, Li Z

“…However, the potential regulatory effects of acupuncture on the fungal microbiota have been largely overlooked.Methods: APP/PS1 mice were used as AD animal model and randomly divided into the AD model (AD) group, the acupuncture (Ac) group, and the probiotics (Pr) group. …”
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Study on the improvement of cognitive deficits in APP/PS1 mice by danggui shaoyao san and its disassembled prescriptions through modulation of the gut microbiota by Xingduo Liu, Chaoqun Sun, Yuqiong Dai, Feifei Duan, Tianzhen He, Menglu Zhen, Enxi Liang, Shuting Zhang, Yun Xia, Nianchun Hu, Ruoting Zhan, Ruoting Zhan, Dong Deng, Sijun Liu

“…This study investigated whether Danggui Shaoyao San and its disassembled prescriptions could improve cognitive deficits in APP/PS1 mice by modulating the structure of the gut microbiota, thereby providing a theoretical basis for AD treatment and the further development and application of Danggui Shaoyao San.MethodsForty APP/PS1 and eight C57BL/6 mice were divided into six groups: DSS (6.4 g/kg/d), QDW (4.6 g/kg/d), DW (1.8 g/kg/d), GV971 (positive control, 40 mg/kg/d), model (saline), and control (saline). …”
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Learning and Generation of Drawing Sequences Using a Deep Network for a Drawing Support System by Homari Matsumoto, Atomu Nakamura, Shun Nishide

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