Predicting Short-Term Variations in End-to-End Cloud Data Transfer Throughput Using Neural Networks by Esma Yildirim, Arafat Akon

“…Although there are promising results in the literature using neural networks, the datasets are collected from network layer devices and memory-to-memory data transfers where end-system and dataset characteristics are not considered as part of the problem. …”
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The role of hybrid models in financial decision-making: Forecasting stock prices with advanced algorithms by Xiaoyi Zhu

“…This study introduces a novel hybrid model to tackle the abovementioned issues by integrating various algorithms, including bidirectional long short-term memory and random forest. Additionally, it incorporates ensemble empirical mode decomposition, sample entropy clustering, and sea-horse optimizer as part of its methodology. …”
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An Integrated SVM-LSTM Method for VPP Resource Classification and Load Forecasting in Real-time Market Trading by He Zhao, Yucheng Hou, Zhifa Lin, Xin Cao, Xiao Yu

“…In addition, an improved long short-term memory network is utilized to achieve ultra short-term load forecasting. …”
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Repositioning of the Severe Prolapsed Silicone Tubes after Bicanalicular Nasal Intubation: A Novel Technique by Jinjing He, Jingwen Gong, Qingqing Zheng, Jin Jiang

“…This retrospective study included 6 patients with severe prolapsed silicone tubes who had undergone bicanalicular nasal intubation between January 2017 and December 2019. We used a memory wire probe to pull a nylon suture through the lacrimal passage retrograde. …”
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The molecular view of mechanical stress of brain cells, local translation, and neurodegenerative diseases by T. M. Khlebodarova

“…However, the molecular mechanisms that underlie the way from cell exposure to mechanical stress to disturbances in synaptic plasticity followed by changes in behavior, cognition, and memory are still poorly understood. Here we review (1) the current knowledge of molecular mechanisms regulating local translation and the actin cytoskeleton state at an activated synapse, where they play a key role in the formation of various sorts of synaptic plasticity and long-term memory, and (2) possible pathways of mechanical stress intervention. …”
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Distinct disruptions in CA1 and CA3 place cell function in Alzheimer’s disease mice by Sanggeon Park, Mijeong Park, Eun Joo Kim, Jeansok J. Kim, Jeiwon Cho, Yeowool Huh

“…Summary: The hippocampus, a critical brain structure for spatial learning and memory, is susceptible to neurodegenerative disorders such as Alzheimer’s disease (AD). …”
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Enhancing breast cancer prediction through stacking ensemble and deep learning integration by Fatih Gurcan

“…In addition to ensemble methods, deep learning models including convolutional neural network (CNN), recurrent neural network (RNN), gated recurrent unit (GRU), bidirectional long short-term memory (BILSTM), long short-term memory (LSTM) were analyzed as meta predictors. …”
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Anti-NMDA Receptor Encephalitis in a Patient with Previous Psychosis and Neurological Abnormalities: A Diagnostic Challenge by R. David Heekin, Maria C. Catalano, Alfred T. Frontera, Glenn Catalano

“…Finally, five years later, she presented with manic symptoms, hallucinations, and memory impairment. During her hospitalization, she subsequently developed catatonic symptoms and seizures. …”
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Assessment of Developmental Prosopagnosia in an Individual with Tourette Syndrome and Attention Deficit Hyperactivity Disorder: A Case Report by Petter Espeseth Emhjellen, Randi Starrfelt, Rune Raudeberg, Bjørnar Hassel

“…Results: The neuropsychological assessment revealed varying degrees of difficulties primarily related to executive functions, attention, reaction time, and memory processes, as expected in a person with Tourette’s syndrome and ADHD. …”
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Predictors of Instrumental Activities of Daily Living Performance in Patients with Stroke by Amin Ghaffari, Hamid Reza Rostami, Malahat Akbarfahimi

“…Lawton IADL scale, Barthel Index, Trail Making Test (A and B), Digit span subtest of Wechsler memory scale, Motorcity index, and Beck Depression Inventory-II were used to investigate the study’s aim. …”
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Phonologisches Bewusstsein bei einem polnisch-amerikanischen Kind mit Legasthenie. Eine Fallstudie by Rafał Młyński, Agata Guzek

“…3) What is the phonological memory capacity in both languages in a bilingual child with SRD? …”
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Benchmarking Alzheimer’s disease prediction: personalised risk assessment using polygenic risk scores across various methodologies and genome-wide studies by Eftychia Bellou, Woori Kim, Ganna Leonenko, Feifei Tao, Emily Simmonds, Ying Wu, Niklas Mattsson-Carlgren, Oskar Hansson, Michael W. Nagle, Valentina Escott-Price, the Alzheimer’s Disease Neuroimaging Initiative

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Stability Improvement of an Efficient Graphene Nanoribbon Field-Effect Transistor-Based SRAM Design by Mathan Natarajamoorthy, Jayashri Subbiah, Nurul Ezaila Alias, Michael Loong Peng Tan

“…GNRFET can also be used as static random-access memory (SRAM) circuit design due to its remarkable electronic properties. …”
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Effect of Electroacupuncture at Changqiang on Expression of PSD-95 and CREB in Hippocampus CA1 Region of FMRI Knockout Mice by Lanfang CHEN, Xuejun ZHANG, Dong LIN, Shugui LAI, Qianru HUANG, Qiang WU

“…The model group was reared under the same conditions without any intervention. The learning and memory ability of rats in each group were observed by using Morris water maze, and the PSD-95 and CREB protein expression in hippocampus CA1 region were detected by immunohistochemical techniques.Results:Compared with the model group and the non-acupoint group, the escape latency in Changqiang group was decreased significantly (<italic>P</italic>&lt;0.05), the ratio of swimming distance in platform quadrant to total swimming distance was increased (<italic>P</italic>&lt;0.05), and the PSD-95 and CREB protein expression in hippocampus CA1 region were increased respectively (<italic>P</italic>&lt;0.05).Conclusion:Electroacupuncture at Changqiang can improve the learning and memory ability in FMR1 knockout mice, and the mechanism may be related to the regulation of PSD-95 and CREB protein expression in hippocampus CA1 region.…”
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Immunogenicity of Pfizer mRNA COVID-19 Vaccination Followed by J&J Adenovirus COVID-19 Vaccination in Two Patients with Chronic Lymphocytic Leukemia by Zoe L. Lyski, Myung Sun Kim, David Xthona Lee, David Sampson, Hans-Peter Raué, Vikram Raghunathan, Debbie Ryan, Amanda E. Brunton, Mark K. Slifka, William B. Messer, Stephen E. Spurgeon

“…One subject seroconverted, had RBD-specific memory B-cells and spike-specific CD4 T-cells while the other did not. …”
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Lifting-Based Fractional Wavelet Filter: Energy-Efficient DWT Architecture for Low-Cost Wearable Sensors by Mohd Tausif, Ekram Khan, Mohd Hasan, Martin Reisslein

“…In order to reduce the memory requirement of the proposed architecture, only one image line is read into a buffer at a time. …”
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Effect of Baicalein on Cognitive Impairment in Diabetes Mellitus with Cerebral Small Vessel Disease by Li ZHOU, Zhengqi LU, Xiaoming YE, Wanxin YANG, Zhisheng WEI, Yi KONG, Xuming HUANG

“…However, it showed that the learning and memory abilities in the treatment group had improved, while the brain tissue also had been protected.Conclusion:Baicalein has a protective effect on cognitive impairment in diabetes mellitus with cerebral small vessel disease, and it may be a new targeted therapy for this disease.…”
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Revisit two memoryless state‐recovery cryptanalysis methods on A5/1 by Yanbin Xu, Yonglin Hao, Mingxing Wang

“…In this article, both the guess‐and‐determine and the near collision attacks for recovering A5/1 states with negligible memory complexities are studied. Firstly, a new guessing technique called the move guessing technique that can construct linear equation filters in a more efficient manner is proposed. …”
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Exploring Task-Related EEG for Cross-Subject Early Alzheimer’s Disease Susceptibility Prediction in Middle-Aged Adults Using Multitaper Spectral Analysis by Ziyang Li, Hong Wang, Jianing Song, Jiale Gong

“…Electroencephalogram (EEG) data were collected from the Multi-Source Interference Task (MSIT) and Sternberg Memory Task (STMT). Time–frequency features were extracted using the Multitaper method, followed by multidimensional reduction techniques. …”
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A Hierarchical Cache Architecture-Oriented Cache Management Scheme for Information-Centric Networking by Yichao Chao, Rui Han

“…Information-Centric Networking (ICN) typically utilizes DRAM (Dynamic Random Access Memory) to build in-network cache components due to its high data transfer rate and low latency. …”
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