Targeting the PI3K-AKT pathway to alleviate 6PPDQ-induced cognitive impairment associated with metabolic syndrome by Leisheng Wang, Yifei Fu, Shiwei Xu, Enhong Chen, Shuo Zhang, Dongjie Yang, Youzhao He, Yuanlong Gu, Yong Mao, Fenglai Yuan, Hao Hu

“…To explore its impact on metabolic and cognitive functions, we orally administered 6PPDQ to mice and assessed its effects. …”
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Interplay of Amygdala and Cingulate Plasticity in Emotional Fear by Hiroki Toyoda, Xiang-Yao Li, Long-Jun Wu, Ming-Gao Zhao, Giannina Descalzi, Tao Chen, Kohei Koga, Min Zhuo

“…This hypothesis is supported by electrophysiological evidence obtained from freely moving animals that neurons in the hippocampus/amygdala fire synchronous activities with cortical neurons during the learning. To study fear-related synaptic plasticity in the cortex and its functional connectivity with neurons in the amygdala and hippocampus will help us understand brain mechanisms of fear and improve clinical treatment of emotional disorders in patients.…”
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Revealing the role of cancer-associated fibroblast senescence in prognosis and immune landscape in pancreatic cancer by Luyao Liu, Hai Huang, Bin Cheng, Huaping Xie, Wang Peng, Haochen Cui, Jingwen Liang, Mengdie Cao, Yilei Yang, Wei Chen, Ronghua Wang, Yuchong Zhao

“…Here, we systematically investigated the relationship between CAF senescence and the TME of pancreatic ductal adenocarcinoma (PDAC) based on multi-omics analysis and functional experiments. CAF senescence promotes tumor progression in vitro and in vivo and contributes to the formation of immunosuppressive TME. …”
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Psychoactive substances: novel molecular insights and therapeutic potential for Alzheimer's disease by Chonglei Fu, Xuehui Li, Xiaoxing Liu, Yongbo Zheng, Xiangxian Ma, Bo Zhang, Si Chen, Lingming Hu, Sizhen Su, Xiaokun Wang, Jie Sun, Qingqing Yin, Yumei Wang, Xiaolong Fu, Yanping Bao, Yanxue Xue, Tao Xin, Lin Lu, Guichang Zou

“…The main psychoactive agents, such as central nervous system depressants and stimulants, cannabinoids, psychedelics, opioids and ketamine, are being explored for their abilities to enhance learning and cognitive performance and potential neurorestorative functions. …”
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Multiparametric MRI for the improved diagnostic accuracy of Alzheimer's disease and mild cognitive impairment: Research protocol of a case-control study design. by Albert Dayor Piersson, Buhari Ibrahim, Subapriya Suppiah, Mazlyfarina Mohamad, Hasyma Abu Hassan, Nur Farhayu Omar, Mohd Izuan Ibrahim, Ahmad Nazlim Yusoff, Normala Ibrahim, M Iqbal Saripan, Rizah Mazzuin Razali

“…Magnetic resonance imaging (MRI) using structural MRI (sMRI), functional MRI (fMRI), diffusion tensor imaging (DTI), and magnetic resonance spectroscopy (1H-MRS) performed alone is inadequate. …”
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Cognitive recovery of post critical care patients with and without COVID-19: differences and similarities, an observational study by Anna Gorsler, Christiana Franke, Anneke Quitschau, Nadine Külzow

“…Critically ill patients with or without SARS-CoV-2 infection (at least mechanically ventilated for one week) underwent repeated standardized assessments during their subsequent inpatient rehabilitation stay. Cognitive functions (information processing speed, learning, recognition, short-term and working-memory, word fluency, flexibility) assigned to different domains (attention, memory, executive functions) were assessed as primary outcome. …”
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Multisensory BCI promotes motor recovery via high-order network-mediated interhemispheric integration in chronic stroke by Rongrong Lu, Zhen Pang, Tianhao Gao, Zhijie He, Yiqian Hu, Jie Zhuang, Qin Zhang, Zhengrun Gao

“…Motor recovery was assessed using the Fugl-Meyer Assessment (primary outcome), Motor Status Scale, Action Research Arm Test, and surface electromyography. Functional MRI was used to examine brain activation patterns during upper limb tasks, while Granger causality analysis and machine learning evaluated inter-regional connectivity changes and their predictive value for recovery. …”
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Proteome profiling in cerebrospinal fluid reveals novel biomarkers of Alzheimer's disease by Jakob M Bader, Philipp E Geyer, Johannes B Müller, Maximilian T Strauss, Manja Koch, Frank Leypoldt, Peter Koertvelyessy, Daniel Bittner, Carola G Schipke, Enise I Incesoy, Oliver Peters, Nikolaus Deigendesch, Mikael Simons, Majken K Jensen, Henrik Zetterberg, Matthias Mann

“…Abstract Neurodegenerative diseases are a growing burden, and there is an urgent need for better biomarkers for diagnosis, prognosis, and treatment efficacy. Structural and functional brain alterations are reflected in the protein composition of cerebrospinal fluid (CSF). …”
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CREATE: cell-type-specific cis-regulatory element identification via discrete embedding by Xuejian Cui, Qijin Yin, Zijing Gao, Zhen Li, Xiaoyang Chen, Hairong Lv, Shengquan Chen, Qiao Liu, Wanwen Zeng, Rui Jiang

“…However, current approaches for CRE identification are predominantly sequence-based and typically focus on individual CRE types, limiting insights into their cell-type-specific functions and regulatory dynamics. Here, we present CREATE, a multimodal deep learning framework based on Vector Quantized Variational AutoEncoder, tailored for comprehensive CRE identification and characterization. …”
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The ecotoxicity and social impacts of industrial pollution: Insights on intervention and bioremediation strategies in Africa by Gloria Ifeoma Ujuagu, Onome Ejeromedoghene, Peter Olusakin Oladoye, Charles Obinwanne Okoye, Yakubu Adekunle Alli, Mayowa Ezekiel Oladipo, Jintu Gu

“…The integrity and functionality of the environmental system in Africa are seriously threatened by contaminants emerging from different industrial activities. …”
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Invisible but Insidious Effects of Microplastics by Natalia A. Stefanova, Yulia S. Sotnikova, Aleksandra E. Osechkova, Elena V. Karpova, Dmitriy N. Polovyanenko, Anzhella Zh. Fursova, Daria A. Kiseleva, Tatyana G. Tolstikova, Nataliya G. Kolosova, Elena G. Bagryanskaya

“…We found that in the absence of significant changes in standard clinical blood parameters, chronic MP administration negatively affected the cognitive functions of both Wistar rats and OXYS rats. Additionally, a dose of 100 mg/kg MPs contributed to cataract and AMD progression in OXYS rats. …”
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Engineering End-to-End Remote Labs Using IoT-Based Retrofitting by Savitha Viswanadh Kandala, Akshit Gureja, Nagesh Walchatwar, Rishabh Agrawal, Shiven Sinha, Sachin Chaudhari, Karthik Vaidhyanathan, Venkatesh Choppella, Prabhakar Bhimalapuram, Harikumar Kandath, Aftab Hussain

“…RLabs is qualitatively evaluated against seven non-functional attributes - affordability, portability, scalability, compatibility, maintainability, usability, and universality. …”
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Goal Setting for Cognitive Rehabilitation in Mild to Moderate Parkinson’s Disease Dementia and Dementia with Lewy Bodies by Tamlyn J. Watermeyer, John V. Hindle, Julie Roberts, Catherine L. Lawrence, Anthony Martyr, Huw Lloyd-Williams, Andrew Brand, Petra Gutting, Zoe Hoare, Rhiannon Tudor Edwards, Linda Clare

“…Cognitive rehabilitation is a goal-orientated behavioural intervention which aims to enhance functional independence through the use of strategies specific to the individual’s needs and abilities. …”
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Structural Disorder by Octahedral Tilting in Inorganic Halide Perovskites: New Insight with Bayesian Optimization by Jingrui Li, Fang Pan, Guo‐Xu Zhang, Zenghui Liu, Hua Dong, Dawei Wang, Zhuangde Jiang, Wei Ren, Zuo‐Guang Ye, Milica Todorović, Patrick Rinke

“…The subsequent variations in energetics and properties are described by 3D potential‐energy surfaces (PESs) and property landscapes, delivered by Bayesian optimization as implemented in the Bayesian optimization structure search code sampling density functional theory (DFT) calculations. The rapid convergence of the PES with about 200 DFT data points in 3D searches demonstrates the power of active learning and strategic sampling with Bayesian optimization. …”
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Exploring new Frontiers in dry eye Disease: Treatments, mechanisms, and diagnostic innovations a comprehensive review by K. Narendra, Sonali K. Singh, C.K. Deepa, S. Meghana, K.R. Akanth, M. Manjushree, D. Raajasubramaniyan, S. Srinivasan, R. Murali, H.N. Sowbhagya

“…Diagnostic innovations include AI and machine learning integration, advanced imaging techniques, tear film analysis, and functional tests, enhancing early detection and monitoring.Emerging research on gene therapy, stem cell therapy, ocular surface microbiota, and gene editing technologies like CRISPR is examined for future treatment potential. …”
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Identification of pyroptosis related genes and subtypes in atherosclerosis using multiomic and single cell analysis by Kaisheng Jiang, Yang He, Bingjie Hu, Li Quan, Longyun Peng, Juntao Tian, Nan Zhou, Erwen Huang, Qianhao Zhao

“…Functional enrichment, immune infiltration profiling, and protein–protein interaction network analyses were conducted. …”
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Resveratrol Protects against Sepsis-Associated Encephalopathy and Inhibits the NLRP3/IL-1β Axis in Microglia by Da-ming Sui, Qun Xie, Wen-jing Yi, Sahil Gupta, Xi-ya Yu, Jin-bao Li, Jun Wang, Jia-feng Wang, Xiao-ming Deng

“…SAE was induced in mice via cecal ligation and puncture (CLP), and resveratrol was administered at two doses after surgery. Spatial learning memory functions were evaluated by Morris water maze testing. …”
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Low-computational EMG gesture recognition for prosthetic control via handcrafted features and lightweight MLP by Lingzhi Lin, Yuqian Dai, Guodao Zhang, Yisu Ge, Abdulilah Mohammad Mayet, Xiaotian Pan, Genfu Yang, Mian Lin

“…Unlike conventional deep learning methods that require substantial computational power, our method significantly reduces computational overhead through handcrafted feature extraction. …”
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PEDAGOGICAL VALUE OF THE COMMUNICATION AS A PROFESSIONAL ETHICAL PHENOMENON IN THE EDUCATION OF DENTISTS STUDENTS by R.M. Khopta

“…In the pedagogical sphere the communication acquires significant functional and professional character. It serves as a tool for influence. …”
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Enhancing ovarian cancer prognosis with an artificial intelligence-derived model: Multi-omics integration and therapeutic implications by You Wu, Kunyu Wang, Yan Song, Bin Li

“…The AIDPI model was developed and refined using univariate Cox regression analysis and an ensemble of machine learning algorithms. Functional analysis, immunoprofiling, and the role of the MFAP4 gene were investigated to elucidate the biological mechanisms underlying the model. …”
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