Relationship between the switched memory B level and clinical course of coronavirus disease 2019 in patients with common variable immunodeficiency by Filiz Sadi Aykan, Fatih Çölkesen, Eray Yıldız, Mehmet Kılınç, Recep Evcen, Şevket Arslan

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DaLAMED: A Clock-Frequency and Data-Lifetime-Aware Methodology for Energy-Efficient Memory Design in Edge Devices by Belal Jahannia, Abdolah Amirany, Elham Heidari, Hamed Dalir

Subjects: “…Emerging non-volatile memory…”
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Monitoring Driving in a Monotonous Environment: Classification and Recognition of Driving Fatigue Based on Long Short-Term Memory Network by Hao Han, Kejie Li, Yi Li

“…A recognition model of different fatigue degrees of drivers is built based on the deep learning method of a long short-term memory network (LSTM) to detect the varied fatigue degrees of drivers. …”
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Identifying [between] Geser and Genghis Khan. Part 1: Contamination of Images in Folklore and Historical Memories of Central and Inner Asia by Natalia N. Nikolaeva, Evgenii V. Nolev

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Adult Hippocampal Neurogenesis in Alzheimer’s Disease: An Overview of Human and Animal Studies with Implications for Therapeutic Perspectives Aimed at Memory Recovery by Stefano Farioli-Vecchioli, Valentina Ricci, Silvia Middei

“…Lastly, we examine animal studies that link impaired neurogenesis to specific memory dysfunctions in AD and review treatments that have the potential to rescue memory capacities in AD by stimulating AHN.…”
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EXO1 is a key gene for lung-resident memory T cells and has diagnostic and predictive values for lung adenocarcinoma by Zhuoqi Li, Xiaoyan Lin, Yuanhui Yang, Mei Tian, Lu Zhang, Fujing Huang, Xiao Wen, Zhigang Wei, Yuan Tian

“…An increasing number of studies indicated that tissue-resident memory T (TRM) cells played significant roles in anti-cancer immunity. …”
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Corrosion behavior of Shape Memory Alloy in NaCl environment and deformation recovery maintenance in Cu-Zn-Al system by Andrea Brotzu, Barbara De Filippo, Stefano Natali, Laura Zortea

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High-Bandwidth and Energy-Efficient Memory Interfaces for the Data-Centric Era: Recent Advances, Design Challenges, and Future Prospects by Joo-Hyung Chae

Subjects: “…dynamic random access memory (DRAM)…”
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Intelligent and Adaptive Web Data Extraction System Using Convolutional and Long Short-Term Memory Deep Learning Networks by Sudhir Kumar Patnaik, C. Narendra Babu, Mukul Bhave

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Global Existence and Uniform Energy Decay Rates for the Semilinear Parabolic Equation with a Memory Term and Mixed Boundary Condition by Zhong Bo Fang, Liru Qiu

“…This work is concerned with a mixed boundary value problem for the semilinear parabolic equation with a memory term and generalized Lewis functions which depends on both spacial variable and time. …”
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Analisis Perilaku Entitas untuk Pendeteksian Serangan Internal Menggunakan Kombinasi Model Prediksi Memori dan Metode PCA by Rahmat - Budiarto, Yanif Dwi Kuntjoro

“…The memory-prediction model recognizes bottom-up inputs that matched in hierarchy and evokes a series of top-down expectations. …”
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SpecPCM: A Low-Power PCM-Based In-Memory Computing Accelerator for Full-Stack Mass Spectrometry Analysis by Keming Fan, Ashkan Moradifirouzabadi, Xiangjin Wu, Zheyu Li, Flavio Ponzina, Anton Persson, Eric Pop, Tajana Rosing, Mingu Kang

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Hybrid GNSS time-series prediction method based on ensemble empirical mode decomposition with long short-term memory by Yu Zhou, Xiaoxing He, Shengdao Wang, Shunqiang Hu, Xiwen Sun, Jiahui Huang

“…To address the shortcomings of traditional GNSS time series prediction methods including insufficient feature selection, limited stability, and low predictive accuracy, this paper proposes a prediction model that combines the Ensemble Empirical Mode Decomposition (EEMD) with Long Short-Term Memory (LSTM) algorithm. The model utilizes the EEMD method to obtain reconstructed signals, which are then input as features into the LSTM model to predict the original time series. …”
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Chronic cannabis use differentially modulates neural oscillations serving the manipulate versus maintain components of working memory processing by Peihan J. Huang, Jake J. Son, Yasra Arif, Jason A. John, Lucy K. Horne, Mikki Schantell, Seth D. Springer, Maggie P. Rempe, Hannah J. Okelberry, Abraham D. Killanin, Ryan Glesinger, Anna T. Coutant, Thomas W. Ward, Madelyn P. Willett, Hallie J. Johnson, Elizabeth Heinrichs-Graham, Tony W. Wilson

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Differences in medial temporal network intrinsic connectivity after a single bout of exercise relate to fitness, memory, and affect by Anastasia Cherednichenko, María Baena-Pérez, Anna Miró-Padilla, Maria Reyes Beltrán-Valls, Diego Moliner-Urdiales, César Ávila

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Neurotoxicity of aluminium chloride and okadaic acid in zebrafish: Unravelling Alzheimer's disease model via learning and memory function evaluation by S.Z. Raduan, Q.U. Ahmed, M.R.A. Rusmili, A.S.M. Sabere, M.S. Haris, M.F. Shaikh, W.A.W. Sulaiman, M.H. Mahmood

“…Introduction/objectives: Alzheimer's disease (AD) is characterised by a progressive decline in cognitive abilities, especially learning and memory. To validate the zebrafish as a suitable model organism for AD, the study examined the effects of 2 neurotoxin agents, aluminium chloride (AlCl3) and okadaic acid (OKA). …”
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Evaluation of Phytochemical, Antioxidant, and Memory-Enhancing Activity of Garuga pinnata Roxb. Bark and Bryophyllum pinnatum (Lam) Oken. Leaves by Ravin Bhandari, Sabina Gyawali, Nisha Aryal, Devika Gaire, Kalpana Paudyal, Abaru Panta, Pooja Panth, Dirgha Raj Joshi, Rabindra Kumar Rokaya, Pramod Aryal, Jitendra Pandey

“…Our study proclaimed the scientific evidence for the memory-boosting effect of both plants.…”
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Modulation of Cognition: The Role of Gnidia glauca on Spatial Learning and Memory Retention in High-Fat Diet-Induced Obese Rats by Wycliffe Makori Arika, Cromwell Mwiti Kibiti, Joan Murugi Njagi, Mathew Piero Ngugi

“…Chronic exposures to high-fat diets are linked to neuropathological changes that culminate in obesity-related cognitive dysfunction and brain alteration. Learning, memory performance, and executive function are the main domains affected by an obesogenic diet. …”
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Long Short-Term Memory Recurrent Neural Network for Predicting the Return of Rate Underframe the Fama-French 5 Factor by Bui Thanh Khoa, Tran Trong Huynh

“…Two approaches are employed in the Fama-French model: Long Short Term Memory Recurrent Neural Network (LSTM-RNN) and Maximum Likelihood Estimation (MLE). …”
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Co-Optimization of Power Delivery Network Design for 3-D Heterogeneous Integration of RRAM-Based Compute In-Memory Accelerators by Madison Manley, James Read, Ankit Kaul, Shimeng Yu, Muhannad Bakir

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