Relationship between social determinants of health and cognitive performance in an older American population: a cross-sectional NHANES study by Zhen-Guo Yang, Xu Sun, Xue Han, Xiao Wang, Lei Wang

“…Cognitive performance was evaluated using three tests: the Digit Symbol Substitution Test (DSST) for processing speed, the Animal Fluency Test (AFT) for executive function, and a subtest from the Coalition to Establish an Alzheimer’s Disease Registry (CERAD) for memory. Multifactorial linear regression modeling was employed to explore the association between SDoH and cognitive performance. …”
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Impact of Aluminium Chloride (AlCl₃) on Brain Function: A Review of Neurotoxic Mechanisms and Implications for Alzheimer's Disease by Amtul Rahman, Zeenath Banu

“…Behavioural changes and impaired cognitive abilities observed in animal and cellular models suggest that AlCl3 disrupts neural pathways critical to learning and memory. The evidence indicates a significant association between AlCl3 exposure and neurodegenerative damage, especially in the context of AD. …”
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The development of a story recall test for distinguishing between Alzheimer’s disease and mild cognitive impairment in Thai cohort by Natinee Na Chiangmai, Peera Wongupparaj, Pattrawadee Makmee, Claudio Mulatti, Remo Job

“…Moreover, screening tools for AD should encompass not only memory assessment but also language and attention.…”
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Redesigning elastic full‐waveform inversion on the new Sunway architecture by Mengyuan Hua, Wubing Wan, Zhaoqi Sun, Zekun Yin, Puyu Xiong, Xiaohui Liu, Haodong Tian, Ping Gao, Weiguo Liu, Hua Wang, Wenlai Zhao, Zhenchun Huang

“…These optimizations encompass a process‐level communication overlapping strategy, thread‐level data partitioning and layout approaches, a remote memory access optimized master‐slave communication scheme, and a thread‐level data reuse and overlapping strategy. …”
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Evaluation of machine learning techniques for real-time prediction of implanted lower limb mechanics by Chase Maag, Clare K. Fitzpatrick, Paul J. Rullkoetter

“…Several predictive algorithms were explored, including linear regression (LRM), multilayer perceptron (MLP), bi-directional long short-term memory (biLSTM), convolutional neural network (CNN), and transformer-based approaches. …”
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Transformer-Based Optimization for Text-to-Gloss in Low-Resource Neural Machine Translation by Younes Ouargani, Noussaim El Khattabi

“…With a 55.18 Recall-Oriented Understudy for Gisting Evaluation (ROUGE) score, and a 63.6 BiLingual Evaluation Understudy 1 (BLEU1) score, our proposed model not only outperforms state-of-the-art models on the Phoenix14T dataset but also outperforms some of the best alternative architectures, specifically Convolutional Neural Network (CNN), Long Short Term Memory (LSTM), and Gated Recurrent Unit (GRU). Additionally, we benchmark our model with real-time inference tests on both CPU and GPU, providing insights into its practical efficiency and deployment feasibility. …”
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A systematic review of exposure to toxic elements and neurocognitive development in children by Tingyi Guo, Moslem Lari Najafi, Junmei Zhang

“…Findings from the reviewed studies suggest that exposure to PTEs such as lead, arsenic, mercury, and fluoride may be associated with adverse effects on neurocognitive development, including deficits in IQ, attention, memory, and behavioral problems. Despite the limitations of the existing literature, including study design constraints and geographic disparities, the findings highlight the need for continued research to better understand the impact of PTEs on neurocognitive development in children. …”
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Electrical conductivity in the mantle transition zone beneath eastern Central Asian Orogenic Belt revealed by geomagnetic signals by Yanhui Zhang, Yujia Hu, Mina Ma, Yuyan Zhang

“…Then, the staggered grid finite difference method is used for forward modeling, and the finite memory quasi-Newton method based on L 1-norm is used for three-dimensional (3-D) inversion. …”
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MARTIN HEIDEGGER’S METAPHYSICAL QUESTION 1935-1937: GENESIS AND CONSEQUENCES. PART ONE by Юрій МАРИНЧУК

“…The result of the semantic field of landscape from our memory of native lands is a history of the meanings of thinking, and things are pre-thought states. …”
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Towards the design for a new Bible translation in Sesotho by T. J. Makutoane, J. A. Naudé

“…Literacy is essentially about control of information, memory, beliefs and distribution. Users still living in an oral culture are excluded. …”
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Real-Time Cyber-Physical Digital Twin for Low Earth Orbit Satellite Constellation Network Enhanced Wide-Area Power Grid by Tianshi Cheng, Tong Duan, Venkata Dinavahi

“…It features a data-centric design using an ECS framework with a structure-of-arrays memory layout, optimizing cache efficiency and computational performance, and offers high extensibility for interdisciplinary simulations. …”
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CD4+T and CD8+T Cells in Uterus Exhibit Both Selective Dysfunction and Residency Signatures by Shuangpeng Kang, Shuiping Jin, Xueying Mao, BinSheng He, Changyou Wu

“…It showed that most of CD4+T cells and CD8+T cells in murine uterus and human endometrium were tissue resident memory T cells which highly expressed tissue residence markers CD69 and/or CD103. …”
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Mechanisms of T-cell Depletion in Tumors and Advances in Clinical Research by Xiangfei Su, Mi Zhang, Hong Zhu, Jingwen Cai, Zhen Wang, Yuewei Xu, Li Wang, Chen Shen, Ming Cai

“…In tumor immunotherapy, T cells have emerged as a promising therapeutic strategy due to their high specificity, potent cytotoxic capability, long-lasting immune memory, and adaptability within immunotherapeutic approaches. …”
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Effects of Physical Exercise on Neuroplasticity and Brain Function: A Systematic Review in Human and Animal Studies by Matheus Santos de Sousa Fernandes, Tayrine Figueira Ordônio, Gabriela Carvalho Jurema Santos, Lucas Eduardo R. Santos, Camila Tenório Calazans, Dayane Aparecida Gomes, Tony Meireles Santos

“…PE increases neuroplasticity via neurotrophic factors (BDNF, GDNF, and NGF) and receptor (TrkB and P75NTR) production providing improvements in neuroplasticity, and cognitive function (learning and memory) in human and animal models. Conclusion. PE was effective for increasing the production of neurotrophic factors, cell growth, and proliferation, as well as for improving brain functionality.…”
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Robust Data-Driven Fault Detection: An Application to Aircraft Air Data Sensors by Yunmei Zhao, Hang Zhao, Jianliang Ai, Yiqun Dong

“…Convolutional neural networks (CNN) and long-short time memory (LSTM) blocks are used in the DNN scheme for accurate FD performances. …”
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Comprehensive Analysis of the Expression, Prognostic Value, and Immune Infiltration Activities of GABRD in Colon Adenocarcinoma by Fakun Huang, Zhengyang Wang, Liyue Zhu, Changqing Lin, Jia-xing Wang

“…In addition, we observed that GABRD expressions were positively associated with the expression of T cells regulatory (Tregs), macrophages M0, while negatively associated with the expression of T cells CD8, T cells follicular helper, macrophages M1, dendritic cells activated, eosinophils, and T cells CD4 memory activated. The IC50 of BI-2536, bleomycin, embelin, FR-180204, GW843682X, LY317615, NSC-207895, rTRAIL, and VX-11e was higher in the GABRD high-expression group. …”
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Towards Fault Detection in Industrial Equipment through Energy Consumption Analysis: Integrating Machine Learning and Statistical Methods by Baddou Nada, Dadda Afaf, Rzine Bouchra, Hmamed Hala

“…In this study, we propose a hybrid model that combines Long Short-Term Memory (LSTM) for energy consumption prediction with a statistical change-point detection algorithm to identify significant shifts in consumption patterns. …”
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Neuronal Plasticity Associated with Burn Injury and Its Relevance for Perception and Management of Pain in Burn Patients by Terence J Coderre, Manon Choinière

“…Recently acquired experimental evidence on postburn hyperalgesia, central hyperexcitability and changes in opioid sensitivity provides strong support that burn patients need an analgesic approach aimed at preventing or reducing the 'neural' memory of pain, including the use of more than one treatment modality. …”
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Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption. by Abrar Ahmed, Safdar Ali, Ali Raza, Ibrar Hussain, Ahmad Bilal, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

“…Therefore, this research proposes a novel hybrid model employing Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and Bi-directional LSTM (Bi-LSTM) to simultaneously predict both short-term and long-term residential energy consumption with enhanced accuracy measures. …”
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The Relationship Between Sleep Quality and Blood Pressure in Students by Muhammad Irwan, Irfan Irfan, Evawaty Evawaty, Rahmin Rahmin, Risnah Risnah, Salmah Arafah

“…Poor sleep quality and quantity not only causes physical discomfort, but also impairs individual memory and cognitive abilities. If this poor quality and quantity of sleep is left unattended for several years, more dangerous complications are likely to occur, such as heart attacks, strokes and psychological problems (such as depression or other mood disorders). …”
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