Relation Classification via Recurrent Neural Network with Attention and Tensor Layers by Runyan Zhang, Fanrong Meng, Yong Zhou, Bing Liu

“…In this paper, we propose a novel bidirectional recurrent neural network architecture (using Long Short-Term Memory, LSTM, cells) for relation classification, with an attention layer for organizing the context information on the word level and a tensor layer for detecting complex connections between two entities. …”
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A New Type of Eye Movement Model Based on Recurrent Neural Networks for Simulating the Gaze Behavior of Human Reading by Xiaoming Wang, Xinbo Zhao, Jinchang Ren

“…In contrast to conventional psychology-based eye movement models, ours is based on a recurrent neural network (RNN) to generate a gaze point prediction sequence, by using the combination of convolutional neural networks (CNN), bidirectional long short-term memory networks (LSTM), and conditional random fields (CRF). …”
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Reach and engagement on the history of nursing on social media in light of Pierre Lévy by Natália Maria Freitas e Silva Maia, Agostinho Antônio Cruz Araújo, Ana Maria Ribeiro dos Santos, Rafaela Siqueira Costa Schreck, Maria Angélica de Almeida Peres, Fernanda Batista Oliveira Santos

“…ABSTRACT Objective: To analyze the reach and engagement on the history of nursing on social media of the Memory Center of the School of Nursing, Federal University of Minas Gerais (CEMENF/UFMG), in light of Pierre Lévy. …”
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Glia and TRPM2 Channels in Plasticity of Central Nervous System and Alzheimer’s Diseases by Jing Wang, Michael F. Jackson, Yu-Feng Xie

“…Synaptic plasticity refers to the ability of neurons to strengthen or weaken synaptic efficacy in response to activity and is the basis for learning and memory. Glial cells communicate with neurons and in this way contribute in part to plasticity in the CNS and to the pathology of Alzheimer’s disease (AD), a neurodegenerative disease in which impaired synaptic plasticity is causally implicated. …”
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Contribution of long-lived plasma cells to antibody-mediated allograft rejection by Eunkyeong Jang, Jeehee Youn

“…A subset of these plasma cells can survive for extended periods in a suitable survival niche and mature into long-lived plasma cells (LLPCs), which are a cellular component of humoral memory. The current understanding of LLPCs is limited due to their scarcity, heterogeneity, and absence of unique markers. …”
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Blood Vessel Segmentation and Classification of Diabetic Retinopathy with Machine Learning-Based Ensemble Model by Cihan Akyel, Bünyamin Ciylan

“…Artificial intelligence-based classification training using images as input takes a long time and requires high resource requirements such as Random Access Memory (RAM) and Graphics Processing Unit (GPU). By using Gray Level Cooccurrence Matrix (GLCM) attributes in the classification phase, a lower resource requirement was aimed for. …”
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On the Usage of GPUs for Efficient Motion Estimation in Medical Image Sequences by Jeyarajan Thiyagalingam, Daniel Goodman, Julia A. Schnabel, Anne Trefethen, Vicente Grau

“…We also show how architectural peculiarities of these devices can be best exploited in the benefit of algorithms, most specifically for addressing the challenges related to their access patterns and different memory configurations. Finally, we evaluate the performance of the algorithm on three different GPU architectures and perform a comprehensive analysis of the results.…”
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The Mismatch Negativity: An Indicator of Perception of Regularities in Music by Xide Yu, Tao Liu, Dingguo Gao

“…MMN is a deviation-specific component of auditory event-related potential (EPR), which detects a deviation between a sound and an internal representation (e.g., memory trace). Recent studies have expanded the notion and the paradigms of MMN to higher-order music processing such as those involving short melodies, harmony chord, and music syntax. …”
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Selection of Construction Methods: A Knowledge-Based Approach by Ximena Ferrada, Alfredo Serpell, Miroslaw Skibniewski

“…As a conclusion, the CMKS was perceived as a valuable tool for construction methods’ selection, by helping companies to generate a corporate memory on this issue, reducing the reliance on individual knowledge and also the subjectivity of the decision-making process. …”
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Factors Associated with Poststroke Fatigue: A Systematic Review by Amélie Ponchel, Stéphanie Bombois, Régis Bordet, Hilde Hénon

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Presence of Cognitive Deterioration and Anatomical-Clinical Topography in Patients with Epilepsy in Cienfuegos by Rolando Lázaro Rivera López, Aleima Rodríguez Carvajal, Ricardo Verdecia Fraga

“…<strong>Background:</strong> epilepsy is a pathological condition characterized by a recurrent non-provoked crisis, however, the presence of the crisis is a fraction of the global problem, patients with epilepsy develop a variety of neuropsychiatry problems, as cognitive affection, most of all, in the space of memory.<br /> <strong>Objective:</strong> evaluating the behavior of the cognitive deterioration and focalization according to anatomical- clinical topography in patients with epilepsy. …”
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Epigenetic Control of Interferon-Gamma Expression in CD8 T Cells by Patrícia S. de Araújo-Souza, Steffi C. H. Hanschke, João P. B. Viola

“…However, naïve CD8 T lymphocytes do not produce large amounts of IFN-γ, but after TCR stimulation there is a progressive acquisition of IFN-γ expression during differentiation into cytotoxic T lymphocytes (CTL) and memory cells, which are capable of producing high levels of this cytokine. …”
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How close is autophagy-targeting therapy for Alzheimer's disease to clinical use? A summary of autophagy modulators in clinical studies by Sofia Miranda Fernandes, Johanna Mayer, Per Nilsson, Makoto Shimozawa

“…Alzheimer’s disease (AD) is a neurodegenerative disorder clinically characterized by progressive decline of memory and cognitive functions, and it is the leading cause of dementia accounting for 60%–80% of dementia patients. …”
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SOC and SOH Prediction of Lithium‐Ion Batteries Based on LSTM–AUKF Joint Algorithm by Yancheng Song, Jiaqi Lu, Huai Zhang, Guangjun Liu

“…The approach leverages a multihead‐attention‐enhanced long short‐term memory (LSTM) neural network combined with an adaptive unscented Kalman filter to accurately calculate the battery's state of charge (SOC) and state of health (SOH). …”
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ADD C FOR CONTEXT: WHAT CAN LANGUAGE INSTRUCTORS FROM THE HUMANITIES CONTRIBUTE TORESEARCH IN FOREIGN LANGUAGE ACQUISITION? by Dror Abend-David, James Kusch

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The Role of Museums in the Process of Creating a Brand City: The Case of Ankara by Burcu Zeybek, İlknur Doğu Öztürk

“…In this study, we discussed how museums as social memory spaces are subject to social media posts. The study is noteworthy because it gives an opinion about social media posts of museum visitors and determines the approach to museums in the formation of an urban brand. …”
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Multi-dimensional perceptual recognition of tourist destination using deep learning model and geographic information system. by Shengtian Zhang, Yong Li, Xiaoxia Song, Chenghao Yang, Niusha Shafiabady, Robert M X Wu

“…Then, we adopted the improved Inception V3 model, the bidirectional long short-term memory network (BiLSTM) model with multi-head attention, and geographic information system (GIS) technology to recognize basic tourist feature information from the UGC dataset, such as the content, sentiment, and spatiotemporal perceptual dimensions of the data, achieving a recognition accuracy of over 97%. …”
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Molecular Dynamics Modeling of the Effect of Nanotwins on the Superelasticity of Single-Crystalline NiTi Alloys by Yang Guo, Xiangguo Zeng, Huayan Chen, Tixin Han, Heyi Tian, Fang Wang

“…The objective of this work is to simulate the superelasticity and shape-memory effect in a single-crystalline nickel-titanium (NiTi) alloy through a molecular dynamics (MD) study. …”
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Mutator Circuit for Memcapacitor Emulator Using Operational Transconductance Amplifiers by Mustafa Konal, Fırat Kacar

“…The time response obtained when a sine signal is applied to the memcapacitor circuit, the input voltage-charge relationship, and the charge-time response obtained when a square wave is used to demonstrate its memory characteristics are provided. All simulations were conducted using LTSpice with Taiwan Semiconductor Manufacturing Company (TSMC) 0.18 μm complementary metal oxide semiconductor (CMOS) process parameters. …”
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Deep Learning Methods for Arabic Autoencoder Speech Recognition System for Electro-Larynx Device by Zinah J. Mohammed Ameen, Abdulkareem Abdulrahman Kadhim

“…In this research, we developed an autoencoder with a combination of long short-term memory (LSTM) and gated recurrent units (GRU) models to recognize recorded signals from Servox Digital EL Electro-Larynx. …”
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