Intelligent Ensemble Deep Learning System for Blood Glucose Prediction Using Genetic Algorithms by Dae-Yeon Kim, Dong-Sik Choi, Ah Reum Kang, Jiyoung Woo, Yechan Han, Sung Wan Chun, Jaeyun Kim

“…., time-series), and RNN-based algorithms (e.g., long short-term memory (LSTM), stacked LSTM, bidirectional LSTM, and gated recurrent unit). …”
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From humanism to neohumanism, posthumanism and transhumanism: pedagogical reading by Ольга Сухомлинська

“…It is shown how these processes affect the modern education system, which absorbs new technologies at an accelerated pace, replacing its traditional tools for teaching reading, writing, arithmetic, aimed at the formation of «long» memory, with technological devices. The article also raises the issue of neo-humanism, which is biocentric in nature, and in the pedagogical aspect manifests itself as a humane attitude towards nature, living beings, primarily animals. …”
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Classifying IoT Botnet Attacks With Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations by Phuc Hao do, Tran Duc Le, Truong Duy Dinh, van Dai Pham

“…We conducted a comparative analysis of five KAN architectures, including Original-KAN, Fast-KAN, Jacobi-KAN, Deep-KAN, and Chebyshev-KAN, against models like Multi-Layer Perceptron (MLP), Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and Gated Recurrent Units (GRU). …”
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Ultra-Low Static Power Circuits Addressing the Fan-Out Problem of Analog Neuron Circuits in Spiking Neural Networks by Jonghyuk Park, Woo Young Choi

“…When simulated with a <inline-formula> <tex-math notation="LaTeX">$512\times 512$ </tex-math></inline-formula> scale post-synaptic resistive random-access memory array, the neuron circuit with proposed fan-out circuits demonstrated an energy consumption of 447 pJ/spike, including the power to drive the synaptic arrays. …”
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A Hybrid Deep Learning‐Based Forecasting Model for the Peak Height of Ionospheric F2 Layer by Ya‐fei Shi, Cheng Yang, Jian Wang, Yu Zheng, Fan‐yi Meng, Leonid F. Chernogor

“…Abstract To achieve accurate forecasting of the peak height of the ionospheric F2 layer (hmF2), we propose a hybrid deep learning model of improved seagull optimization algorithm (ISOA) optimized long short‐term memory (LSTM) model based on a complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) theory. …”
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Influence of Hypertension on Neurocognitive Domains in Nondemented Parkinson’s Disease Patients by Jacob D. Jones, Charles Jacobson, Martina Murphy, Catherine Price, Michael S. Okun, Dawn Bowers

“…The presence of hypertension significantly contributed to domains of executive function and verbal memory. The cooccurrence of orthostatic hypotension moderated the relationship between hypertension and executive function. …”
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Probabilistic Short‐Term Solar Driver Forecasting With Neural Network Ensembles by Joshua D. Daniell, Piyush M. Mehta

“…We introduce methods using long short‐term memory (LSTM) model ensembles to improve over the current prediction method as well as a previous univariate approach. …”
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Learning-induced sensory plasticity of mouse olfactory epithelium by A. V. Romashchenko, Р. Е. Kireeva, M. В. Sharapova, Т. A. Zapara, A. S. Ratushnyak

“…Traditionally, studies of the neurobiology of learning and memory focus on the circuitry that interfaces between sensory inputs and behavioral outputs, such as the amygdala and cerebellum. …”
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Pharmacological Modulation of Three Modalities of CA1 Hippocampal Long-Term Potentiation in the Ts65Dn Mouse Model of Down Syndrome by Jonah J. Scott-McKean, Adriano L. Roque, Krystyna Surewicz, Mark W. Johnson, Witold K. Surewicz, Alberto C. S. Costa

“…Additionally, therapeutically relevant doses of the drug memantine were shown to rescue learning and memory deficits in Ts65Dn mice. Here, we observed that 1 μM memantine had no detectable effect on HFS-induced LTP in either Ts65Dn- or control-derived slices, but it rescued TBS-induced LTP in Ts65Dn-derived slices to control euploid levels. …”
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Development of a Hybrid Attention Transformer for Daily PM_2.5 Predictions in Seoul by Hyun S. Kim, Kyung M. Han, Jinhyeok Yu, Nara Youn, Taehoo Choi

“…The robustness of the HAT was further validated through a comparison with the long short-term memory (LSTM) model, which showed 18.50% lower errors and 95.91% smaller biases, even during El Niño events. …”
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A novel therapeutic multiepitope vaccine based on oncoprotein E6 and E7 of HPV 16 and 18: An in silico approach by Sari Eka Pratiwi, Ysrafil Ysrafil, Mardhia Mardhia, Mahyarudin Mahyarudin, Muhammad Inam Ilmiawan, Heru Fajar Trianto, Delima Fajar Liana, Yuri Amia

“…Computational analysis indicated the vaccine could induce immune responses through the elevation of cytokine levels after the third injection, antibody production, activation of memory B and T cells, and promotion of increased dendritic cell counts. …”
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Electronic ferroelectricity in monolayer graphene moiré superlattices by Le Zhang, Jing Ding, Hanxiao Xiang, Naitian Liu, Wenqiang Zhou, Linfeng Wu, Na Xin, Kenji Watanabe, Takashi Taniguchi, Shuigang Xu

“…Our work not only provides insights into the fundamental understanding of ferroelectricity, but also demonstrates the potential of graphene for high-speed and multi-state nonvolatile memory applications.…”
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Machine Learning-Based Detection of Anomalies, Intrusions, and Threats in Industrial Control Systems by Denis Benka, Dusan Horvath, Lukas Spendla, Gabriel Gaspar, Maximilian Stremy

“…This paper proposes a machine learning (ML)-based approach to anomaly detection in ICS communication networks, focusing on techniques such as 1D Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, Support Vector Machines (SVMs), and Isolation Forest (iForest) algorithms. …”
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TYPES OF TERMINOLOGICAL COLLOCATIONS IN MEDICAL ENGLISH DISCOURSE by Oksana O. Lyamova

“…According to the lexical approach, words do not exist separately, the language consists of ready-made lexical chunks that can be easily recalled from memory and used while speaking. Such ready-made chunks include collocations, idioms, set expressions, etc. …”
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ED‐ConvLSTM: A Novel Global Ionospheric Total Electron Content Medium‐Term Forecast Model by Guozhen Xia, Fubin Zhang, Cheng Wang, Chen Zhou

“…Abstract In this paper, we proposed an innovative encoder‐decoder structure with a convolution long short‐term memory (ED‐ConvLSTM) network to forecast global total electron content (TEC) based on the International GNSS Service (IGS) TEC maps from 2005 to 2018 with 1‐hr time cadence. …”
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Ischemic Heart Disease Prognosis: A Hybrid Residual Attention-Enhanced LSTM Model by D. Cenitta, R. Vijaya Arjunan, Ganesh Paramasivam, N. Arul, Anisha Palkar, Krishnaraj Chadaga

“…Creating a hybrid model that combines attention residual learning with a Long Short-Term Memory (LSTM) is one method to prove it. Our suggested Hybrid Residual Attention-Enhanced LSTM (HRAE-LSTM) approach improves accuracy and stability by combining attention residual learning with an LSTM. …”
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Rainbow: An Operating System for Software-Hardware Multitasking on Dynamically Partially Reconfigurable FPGAs by Krzysztof Jozwik, Shinya Honda, Masato Edahiro, Hiroyuki Tomiyama, Hiroaki Takada

“…It allows for optimizations of the communication on per task basis and utilizes point-to-point message passing rather than shared-memory communication, whenever it is possible. Extensive overhead tests of the OS4RS services as well as application speedup tests show efficiency of our approach.…”
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Altering the intracellular trafficking of Necator americanus GST-1 antigen yields novel hookworm mRNA vaccine candidates. by Athos Silva De Oliveira, Leroy Versteeg, Neima Briggs, Rakesh Adhikari, Maria Jose Villar, JeAnna R Redd, Peter Hotez, Maria Elena Bottazzi, Jeroen Pollet

“…Although PM Na-GST-1 elicited one of highest titers of antigen-specific antibody and a diverse set of memory T-cell populations, it resulted in a lower ratio of neutralizing antibodies after IgG purification compared to the other vaccine candidates.…”
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A comparative study of cognitive impairment in sporadic and familial cases of multiple sclerosis by Vida Niakosari, Ali Namjoo-Moghadam, Ahmad Ali Abin, Maryam Poursadeghfard, Sana Hashemi

“…Both familial and sporadic MS patients showed poorer cognitive performance in the Symbol Digit Modalities Test (SDMT) (Familial: 46.96 ± 12.59, Sporadic: 45.88 ± 14.13, Normal: 56.48 ± 11.89), California Verbal Learning Test (CVLT) (Familial: 66.90 ± 14.01, Sporadic: 68.19 ± 16.49, Normal: 75.18 ± 13.02), and the Brief Visuospatial Memory Test-Revised (BVMT-R) (Familial: 24 (12), Sporadic: 24 (12), Normal: 35 (4)) compared to healthy controls. …”
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Long-term cognitive and autonomic effects of COVID-19 in young adults: a cross-sectional study at 28 months by Gopika Gopinath, Chinmay A. Suryavanshi, Pallavi L. C.

“…However, subtle cognitive inefficiencies persist, particularly in working memory and executive function tasks. These findings suggest a generally favorable long-term prognosis for young adults following mild to moderate COVID-19 but highlight the need for further investigation into persistent subtle cognitive effects and autonomic effects.…”
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