AllianceBlockchain in the Governance Innovation of Internet Hospitals by Xiaofeng Wang, Xiaoguang Yue, Ahthasham Sajid, Noshina Tariq

“…Thus, the improved model is more optimized for processing transactions related to healthcare data. Memory usage was also reduced by 14.3%. While encryption time remained pretty close, the decryption time remarkably improved by 97.5%. …”
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Deep Unfolding-Aided Parameter Tuning for Plug-and-Play-Based Video Snapshot Compressive Imaging by Takashi Matsuda, Ryo Hayakawa, Youji Iiguni

“…For the training of the parameters, we prepare training data from the densely annotated video segmentation dataset, reparametrize the noise level parameters, and apply the checkpointing technique to reduce the required memory. Simulation results show that the trained noise level parameters via the proposed approach exhibit a non-monotonic pattern, which is different from the assumptions in the conventional convergence analyses of PnP-based algorithms. …”
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Applying MLP-Mixer and gMLP to Human Activity Recognition by Takeru Miyoshi, Makoto Koshino, Hidetaka Nambo

“…Reducing the number of parameters would decrease memory requirements and computational complexity by reducing the model size. …”
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A Classroom Emotion Recognition Model Based on a Convolutional Neural Network Speech Emotion Algorithm by Qinying Yuan

“…The network used in this paper is a combination of convolutional neural network (CNN) and recurrent neural network (RNN), which takes advantage of both CNN for feature extraction and RNN for memory capability in the sequence model. This network has a good effect on both object labeling and speech recognition. …”
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Or else, or so or what? A few Examples of the Staging of the Implicit in English by Bertrand RICHET

“…By providing alternative routes for the construction of meaning, the connector clearly reintroduces verticality in an otherwise mainly horizontal though memory-based form of representation.The core value of ‘choice’ that has traditionally been associated with Or can have two readings, one open and one closed. …”
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Adult Gross Motor Learning and Sleep: Is There a Mutual Benefit? by Monica Christova, Hannes Aftenberger, Raffaele Nardone, Eugen Gallasch

“…An extensive amount of research on cognitive and fine motor tasks has shown that sleep is able to enhance these processes, resulting in more stable declarative and procedural memory traces. On the other hand, limited evidence exists concerning the relationship between sleep and learning of gross motor skills. …”
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Modeling and Dynamical Behavior of Rotating Composite Shafts with SMA Wires by Yongsheng Ren, Qiyi Dai, Ruijun An, Youfeng Zhu

“…A dynamical model is developed for the rotating composite shaft with shape-memory alloy (SMA) wires embedded in. The rotating shaft is represented as a thin-walled composite of circular cross-section with SMA wires embedded parallel to shaft’s longitudinal axis. …”
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Patient-Specific Detection of Atrial Fibrillation in Segments of ECG Signals using Deep Neural Networks by Jeyson A. Castillo, Yenny C. Granados, Carlos Augusto Fajardo Ariza

“…During the development of the model, the computational cost and memory resources were taking into account in order to obtain an efficient hardware model in a future implementation of the device. …”
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Fed-CL- an atrial fibrillation prediction system using ECG signals employing federated learning mechanism by Fayez Saud Alreshidi, Mohammad Alsaffar, Rajeswari Chengoden, Naif Khalaf Alshammari

“…Our approach makes use of FL by presenting Fed-CL, a advanced method that combines Long Short-Term Memory networks and Convolutional Neural Networks to accurately predict AFib. …”
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A 7-nm-Based 5R4W High-Timing Reliability Regfile Circuit by Wanlong Zhao, Yuejun Zhang, Liang Wen, Pengjun Wang

“…First, the scheme analyzed the principles of timing errors such as read/write conflicts, write errors, and read errors in the Regfile circuit; then adopted the timing separation method of independent control of the read/write process by clock double edges to solve multiport read/write conflicts, designed a mirror memory check circuit to avoid write errors caused by the word line delays, and used a phase-locked clock feedback structure to eliminate read errors caused by the data timing fluctuations; in the TSMC 7 nm FinFET process, a 64 × 74-bit 5R4W Regfile circuit was implemented using a fully customized layout. …”
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Effects of (±) 3,4-Methylenedioxymethamphetamine (MDMA) on Sleep and Circadian Rhythms by Una D. McCann, George A. Ricaurte

“…In turn, such abnormalities could play a significant role in other alterations reported in abstinent in MDMA users (e.g., memory disturbance). This paper will review preclinical and clinical studies that have explored the effects of prior MDMA exposure on sleep, circadian activity, and the circadian pacemaker, and will highlight current gaps in knowledge and suggest areas for future research.…”
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A Real-Time Angle- and Illumination-Aware Face Recognition System Based on Artificial Neural Network by Hisateru Kato, Goutam Chakraborty, Basabi Chakraborty

“…In this work, we proposed a memory efficient way to register (store) multiple angle and changing illumination face image data, and a computationally efficient authentication technique, using multilayer perceptron (MLP). …”
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Applying a Cerebellar Model Articulation Controller Neural Network to a Photovoltaic Power Generation System Fault Diagnosis by Kuei-Hsiang Chao, Bo-Jyun Liao, Chin-Pao Hung

“…In addition to significantly increasing the accuracy rate of the fault diagnosis, this model features a short training duration because the training process only tunes the weights of the exited memory addresses. Therefore, the fault diagnosis is rapid, and the detection tolerance of the diagnosis system is enhanced.…”
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Surveillance, Phagocytosis, and Inflammation: How Never-Resting Microglia Influence Adult Hippocampal Neurogenesis by Amanda Sierra, Sol Beccari, Irune Diaz-Aparicio, Juan M. Encinas, Samuel Comeau, Marie-Ève Tremblay

“…Here, we will review the roles of microglia in adult hippocampal neurogenesis and their regulation by inflammation during chronic stress, aging, and neurodegenerative diseases, with a particular emphasis on their underlying molecular mechanisms and their functional consequences for learning and memory.…”
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A Novel Chinese Entity Relationship Extraction Method Based on the Bidirectional Maximum Entropy Markov Model by Chengyao Lv, Deng Pan, Yaxiong Li, Jianxin Li, Zong Wang

“…Secondly, the Joint Extraction of Entity Mentions and Relations model is based on the Bidirectional Long Short-Term Memory and Maximum Entropy Markov Model (Bi-MEMM). …”
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Hybrid neural networks for continual learning inspired by corticohippocampal circuits by Qianqian Shi, Faqiang Liu, Hongyi Li, Guangyu Li, Luping Shi, Rong Zhao

“…Biological mechanisms leverage the dual representation of specific and generalized memories within corticohippocampal circuits to facilitate lifelong learning. …”
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Cox-2 Plays a Vital Role in the Impaired Anxiety Like Behavior in Colchicine Induced Rat Model of Alzheimer Disease by Susmita Sil, Tusharkanti Ghosh

“…The anxiety status is changed along with memory impairments in intracerebroventricular colchicine injected rat model of Alzheimer Disease (cAD) due to neurodegeneration, which has been indicated to be mediated by inflammation. …”
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Using the mind map method in medical education, its advantages and challenges: A systematic review by Atiyeh Sadat Sajadi, Alireza Babajani, Shahnam Sedigh Maroufi, Nazanin Sarraf

“…The examination revealed a multitude of notable advantages associated with the implementation of mind maps which are classified into three groups (Enhancing Memory and Comprehension, Fostering Intellectual Growth, Streamlining Learning and Teaching). …”
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Follicular Helper T Cells in Systemic Lupus Erythematosus: Why Should They Be Considered as Interesting Therapeutic Targets? by Matthieu Sawaf, Hélène Dumortier, Fanny Monneaux

“…They are required for the formation of germinal centers and the generation of long-lived serological memory and, as such, are suspected to play a central role in SLE. …”
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Reduced-Order Modeling of Cavity Flow Oscillations across Multi-Mach Numbers Using Deep Learning by Zhe Liu, Fangli Ning, Hui Ding, Qingbo Zhai, Juan Wei

“…Then, two deep learning frameworks, including multilayer perceptron (MLP) and long short-term memory (LSTM) neural networks, are used to predict the future POD coefficients, respectively. …”
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