Responsiveness, Minimal Clinically Important Difference, and Validity of the MoCA in Stroke Rehabilitation by Ching-Yi Wu, Shuan-Ju Hung, Keh-chung Lin, Kai-Hua Chen, Poyu Chen, Pei-Kwei Tsay

“…The MoCA had satisfactory predictive validity with the SIS communication and memory subscales. Conclusion. This study may support the responsiveness, MCID, and criterion validity of the MoCA in stroke populations. …”
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Demonstration of high-reconfigurability and low-power strong physical unclonable function empowered by FeFET cycle-to-cycle variation and charge-domain computing by Taixin Li, Xinrui Guo, Franz Müller, Sukhrob Abdulazhanov, Xiaoyang Ma, Hongtao Zhong, Yongpan Liu, Vijaykrishnan Narayanan, Huazhong Yang, Kai Ni, Thomas Kämpfe, Xueqing Li

“…Here, we report a ferroelectric field-effect transistor (FeFET)-based strong PUF with high reconfigurability and low power, which leverages the FeFET cycle-to-cycle variation throughout the workflow and introduces charge-domain in-memory computing. The proposed PUF cells are fabricated at 28 nm node, and the experimental measurements reveal high uniformity, uniqueness and repeatability. …”
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There are no Foodstuffs in Grocery Stores, Everything is Very Difficult to Obtain: Women’s Everyday Life in the Provincial Soviet City in the 1950-1960s by Natalia L. Pushkareva, Irina V. Bogdashina

“…In the anthropology of Soviet everyday life, the gender aspect plays an especially significant role, since the ordinary and inconspicuous things in everyday life are better captured and preserved by women's memory; women's everyday life differed significantly from men's due to the greater burden of household chores. …”
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The milestones of the life and scientific-pedagogical path of Mikhail Ivanovich Balabolkin (to the 90th anniversary of the birth of Professor M.I. Balabolkin) by Nina A. Petunina, Irina A. Kuzina, Ekaterina V. Goncharova, Narine S. Martirosian, Milena E. Telnova, Mikhail V. Khachaturov

“…Mikhail Ivanovich will forever remain in the memory of all his students and colleagues. The article contains not only biographical data on the professor’s professional and scientific activities, the history of the creation of the departments of endocrinology, which he headed, but also memories of people who were well acquainted with Mikhail Ivanovich. …”
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Arabic Speech Recognition Based on Encoder-Decoder Architecture of Transformer by Mohanad Sameer, Ahmed Talib, Alla Hussein, Husniza Husni

“…Previous choices for the Arabic ASR architecture have been time-delay neural networks, recurrent neural networks (RNN), and long short-term memory (LSTM). Preview end-to-end approaches have suffered from slow training and inference speed because of the limitations of training parallelization, and they require a large amount of data to achieve acceptable results in recognizing Arabic speech. …”
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Hierarchical quantitative prediction of photovoltaic power generation depreciation expense based on matrix task prioritization considering uncertainty risk by Yinming Liu, Wengang Wang, Xiangyue Meng, Yuchen Zhang, Zhuyu Chen

“…According to the calculated risk value, a double-layer photovoltaic power generation cost planning model is constructed, the upper and lower objective functions of the model are determined, and the constraint conditions are designed; Obtain a cost planning objective function solution base on a matrix task prioritization method, and generating a prioritization table; Prediction of photovoltaic power generation depreciation expense based on long-short memory neural network for each solution in the sorting table. …”
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NeuralACT: Accounting Analytics Using Neural Network for Real-Time Decision Making From Big Data by Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Georgios Kampiotis, Ioanna Kalliampakou

“…It uses a Bidirectional Long Short-Term Memory (BiLSTM) network trained with Visegrad Group Companies (VGC) dataset customized and improved for accounting features prediction. …”
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Camptocormia in Parkinson's Disease by Kazuo Abe, Yutaka Uchida, Masaru Notani

“…Analysis of NMSS subitems indicated that PD patients tended to show lower scores for sleep/fatigue, attention/memory, and miscellaneous items. Conclusions. We found significant differences concerning nonmotor signs and symptoms evaluated by FAB, PDQ-8, FSQ, VAS-F, and NMSS between patients with and without camptocormia. …”
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Dmytro Ivanovych Kachenovskyi – a legal scholar, educator and teacher (based on the materials of Kharkiv Law Society) by O. K. Maliutina

“…Following the meeting, a collection of materials in memory of Dmytro Kachenovskyi was published. These materials are a valuable historical source that contain special information and contribute to a deeper study of the scientist’s scientific heritage. …”
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A Multi-Scale Convolutional Residual Time-Frequency Calibration Method for Low-Accuracy Air Pollution Data by Jiahao Liu, Fei Shi, Zhenhong Jia, Jiwei Qin

“…Experimental results demonstrate that MCRTF-CM outperforms optimal Long Short-Term Memory (LSTM) networks, reducing RMSE, MAE, MSE, and MAPE by 13.59%, 14.04%, 25.33%, and 8.22%, respectively, indicating its better performance.…”
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Predicting the correlation between neurological abnormalities and thyroid dysfunction using artificial neural networks by Dina Falah Noori Al-Sabak, Leila Sadeghi, Gholamreza Dehghan

“…The model features a sequential architecture, comprising a long short-term memory (LSTM) layer, a bidirectional LSTM layer, and several fully connected layers. …”
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Lugares amados, lugares sombra: éticas y estéticas en tiempos de transición by María Cecilia Roa García, Alejandro Quecedo del Val, Nils Lagrève, Ana Manuela Amaya Morales

“…The extraction of coal from Cañaverales symbolizes the erasure and forced disappearance of these deep-rooted relationships with energy, transforming their ethics and aesthetics into memory and haunting specters of what once was.…”
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Machine Learning-Based Lithium Battery State of Health Prediction Research by Kun Li, Xinling Chen

“…To address the problem of predicting the state of health (SOH) of lithium-ion batteries, this study develops three models optimized using the particle swarm optimization (PSO) algorithm, including the long short-term memory (LSTM) network, convolutional neural network (CNN), and support vector regression (SVR), for accurate SOH estimation. …”
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Leveraging Quantum LSTM for High-Accuracy Prediction of Viral Mutations by Prashanth Choppara, Bommareddy Lokesh

“…The one-hot encoding technique is a standard technique in machine learning for encoding protein sequences into data that can be used in neural networks.The proposed QLSTM outperformed existing deep learning architectures such as the Attention-Augmented Convolutional Neural Network (AACNN), Stacked Recurrent Neural Network (Stacked RNN), Retention Network (RetNet), and Bidirectional Long Short Term Memory (BiLSTM). These results indicate that QLSTM not only provides high accuracy in mutation predictions in SARS-CoV-2 protein sequences but also provides deep insights into the functional implications of such mutations. …”
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Optimization of Energy Consumption in Voice Assistants Through AI-Enabled Cache Implementation: Development and Evaluation of a Metric by Alber Oswaldo Montoya Benitez, Álvaro Suárez Sarmiento, Elsa María Macías López, Jorge Herrera-Ramirez

“…This work proposes the implementation of a VA through Artificial Intelligence (AI) training and using cache memory to minimize response time and reduce energy consumption. …”
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Fractional hitting sets for efficient multiset sketching by Timothé Rouzé, Igor Martayan, Camille Marchet, Antoine Limasset

“…In comparison to sourmash, supersampler achieves similar outcomes while utilizing an order of magnitude less space and memory and operating several times faster. This highlights the potential of our approach in addressing the challenges presented by the ever-expanding landscape of genomic data. supersampler is an open-source software and can be accessed at https://github.com/TimRouze/supersampler . …”
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Early Bifrontal Brain Injury: Disturbances in Cognitive Function Development by Christine Bonnier, Aurélie Costet, Ghassan Hmaimess, Corinne Catale, Christelle Maillart, Patricia Marique

“…The last two evaluations showed executive deficits in inhibition, flexibility, and working memory. Those executive abnormalities seemed to be involved in the other impairments. …”
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The Discriminative Lexicon: A Unified Computational Model for the Lexicon and Lexical Processing in Comprehension and Production Grounded Not in (De)Composition but in Linear Discr... by R. Harald Baayen, Yu-Ying Chuang, Elnaz Shafaei-Bajestan, James P. Blevins

“…The discriminative lexicon does not make use of static representations that are stored in memory and that have to be accessed in comprehension and production. …”
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Cloud and IoT based smart agent-driven simulation of human gait for detecting muscles disorder by Sina Saadati, Abdolah Sepahvand, Mohammadreza Razzazi

“…While some symptoms can be managed with medications, these treatments often impact all muscles uniformly, not just the affected ones, leading to potential side effects including involuntary movements, confusion, and decreased short-term memory. Currently, there is no dedicated application for differentiating healthy muscles from abnormal ones. …”
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Outcomes of peripherally inserted central catheter vs conventional central venous catheters in hematological cancer patients: a systematic review and meta-analysis by Weilei Ge, Chen Zheng

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