The impact of nutritional status on centenarians’ physical, mental, and functional health by Ivan David Lozada-Martinez, Laura Vindas-Meza, Sandra Castelblanco-Toro, Juan Carlos Salazar-Uribe, Juan-Manuel Anaya

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Immunization‐related complex regional pain syndrome: A systematic review of case reports by William K. Copenhaver, Brandon J. Goodwin, Alexa Simonetti, Kunal P. Shah, Nicholas J. Averell, David F. Lo, Richard T. Jermyn

“…Abstract Aim Vaccines have been shown to have the highest efficacy in preventing infectious diseases through their ability to induce immunological memory against pathogens. An adverse reaction to a vaccine is an unexpected medical occurrence following immunization. …”
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Assimilation of Sparse Continuous Near‐Earth Weather Measurements by NECTAR Model Morphing by I. A. Galkin, B. W. Reinisch, A. M. Vesnin, D. Bilitza, S. Fridman, J. B. Habarulema, O. Veliz

“…To conduct the assimilation process, NECTAR employs a Hopfield feedback recurrent neural network commonly used in the associative memory architectures. Associative memories mimic human capability to restore full information from its initial fragments. …”
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qArI: A Hybrid CTC/Attention-Based Model for Quran Recitation Recognition Using Bidirectional LSTMP in an End-to-End Architecture by Sumayya Alfadhli, Hajar Alharbi, Asma Cherif

“…The model combines a connectionist temporal classification (CTC)/attention loss function with a Bidirectional Long Short-Term Memory with projections (BLSTMP) architecture and a token-based recurrent neural network language model (RNNLM) using CQDV1 dataset. …”
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Rapid changes in plasma corticosterone and medial amygdala transcriptome profiles during social status change reveal molecular pathways associated with a major life history transit... by Tyler M Milewski, Won Lee, Rebecca L Young, Hans A Hofmann, James P Curley

“…Further, increases in genes associated with synaptic plasticity, excitatory glutamatergic signaling and learning and memory pathways were observed in transitioning animals suggesting that these processes may support rapid social status changes.…”
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The Secrets of Salantai Engraving Studio: Stanisław Czerski, the Mysterious Byks, and ‘The Wrong’ Plater by Alma Braziūnienė

“…The sources of this research are publications in encyclopedias, reference publications and scholarly articles, while also touching upon the relevant archival sources in a number of memory institutions. This research employs content and source analysis methods along with the historical comparative method. …”
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Сryosurgery possibilities for nevus in intermarginal eyelid space by A.N. Steblyuk, V.E. Gunter, S.N. Sahnov, P.A. Khloponin, Е.V. Bykova, Zh.G. Litvinova

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A Case of Diffuse Leptomeningeal Glioneuronal Tumor Misdiagnosed as Chronic Tuberculous Meningitis without Brain Biopsy by Jung-goo Lee, Hak-cheol Ko, Jin-gyu Choi, Youn Soo Lee, Byung-chul Son

“…After four months of improvement, his mental confusion, memory impairment, dysphasia, and ataxia gradually worsened. …”
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Functional connectivity-based compensation in the brains of non-demented older adults and the influence of lifestyle: A longitudinal 7-year study by Pascal Frédéric Deschwanden, Isabel Hotz, Susan Mérillat, Lutz Jäncke

“…Network-based statistics and latent growth modeling were employed to examine changes in structural and functional connectivity, as well as potential functional compensation for declines in processing speed and memory. Random forest and linear regression were used to predict the amplitude of compensation based on demographic, biological, and lifestyle factors. …”
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Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning by Manish Sharma, Jamison Heard, Eli Saber, Panagiotis Markopoulos

“…This, alongside their high computational and memory demands, limits the applicability of CNNs for edge deployment and applications where computational resources are constrained. …”
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Mitotic block and epigenetic repression underlie neurodevelopmental defects and neurobehavioral deficits in congenital heart disease by George C. Gabriel, Hisato Yagi, Tuantuan Tan, Abha Bais, Benjamin J. Glennon, Margaret C. Stapleton, Lihua Huang, William T. Reynolds, Marla G. Shaffer, Madhavi Ganapathiraju, Dennis Simon, Ashok Panigrahy, Yijen L. Wu, Cecilia W. Lo

“…Adult mice harboring either the Pcdha9 mutation, which show normal brain anatomy, or forebrain-specific Sap130 deletion via Emx1-Cre, which show microcephaly, both demonstrate learning and memory deficits and autism-like behavior. These findings provide mechanistic insights indicating the adverse neurodevelopment in HLHS may involve cell autonomous/nonautonomous defects and epigenetic dysregulation.…”
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FERROMAGNETIC NANOTUBES IN PORES OF TRACK MEMBRANES FOR THE FLEXIBLE ELECTRONIC ELEMENTS by E. Yu. Kaniukov, E. E. Shumskaya, M. D. Kutuzau, D. B. Borgekov, I. E. Kenzhina, A. L. Kozlovskiy, M. V. Zdorovets

“…Also, the presence of magnetic anisotropy, which is caused by the features of crystalline structure and shape of the nanostructures.Based on the analysis of structural and magnetic characteristics of ferromagnetic nanotubes which were synthesized in the pores of track membranes, were proposed the main principles of their using in the elements’ of flexible electronics constructing (magnetic field direction sensors and magnetic memory elements).…”
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Predicting Alzheimer Disease From Mild Cognitive Impairment With a Deep Belief Network Based on 18F-FDG-PET Images by Ting Shen MsD, Jiehui Jiang PhD, Jiaying Lu MD, Min Wang MsD, Chuantao Zuo MD, PhD, Zhihua Yu, Zhuangzhi Yan PhD

“…Objective: Accurate diagnosis of early Alzheimer disease (AD) plays a critical role in preventing the progression of memory impairment. We aimed to develop a new deep belief network (DBN) framework using 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) metabolic imaging to identify patients at the mild cognitive impairment (MCI) stage with presymptomatic AD and to discriminate them from other patients with MCI. …”
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A novel ViT-BILSTM model for physical activity intensity classification in adults using gravity-based acceleration by Lin Wang, Zizhang Luo, Tianle Zhang

“…Abstract Aim The aim of this study is to apply a novel hybrid framework incorporating a Vision Transformer (ViT) and bidirectional long short-term memory (Bi-LSTM) model for classifying physical activity intensity (PAI) in adults using gravity-based acceleration. …”
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The Content-Validated Geometry Lessons in Islam Observed Brain-based Learning by Sherma O. Sappari, Florante P. Ibarra, Amirul Mukminin, Kasinyo Harto, Lenny Marzulina, Herri Mulyono, Asmendri Asmendri

“…Observed in cyclical context, emotion and memory play a significant role to learning guided by the content-validated lessons in geometry. …”
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A Novel AI-Based Integrated Cybersecurity Risk Assessment Framework and Resilience of National Critical Infrastructure by Sardar Muhammad Ali, Abdul Razzaque, Muhammad Yousaf, Sardar Sadaqat Ali

“…We trained three ML classifiers: Support Vector Machine (SVM), Naïve Bayes (NB), and K-Nearest Neighbors (KNN), along with three DL models: Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Convolutional Neural Network (CNN). …”
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Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis by Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao

“…While they have achieved some success, these models still face issues such as complexity, high computational cost, and insufficient handling of multivariable nonlinear relationships.MethodsIn light of this, this paper proposes a hybrid deep learning model based on Transformer-Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM) to improve the accuracy of climate predictions. …”
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Effects of a Distributed Form of Constraint-Induced Movement Therapy for Clinical Application: The Keys Treatment Protocol by Sarah dos Anjos, Mary Bowman, David Morris

“…Results: Significant improvements were observed in SIS Strength, ADLs/IADLs, Mobility, and Hand Function domains, exceeding MCID thresholds. Memory and Communication domains improved significantly at the 3-month follow-up. …”
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VR Cognitive-based Intervention for Enhancing Cognitive Functions and Well-being in Older Adults with Mild Cognitive Impairment: Behavioral and EEG Evidence by Pattrawadee Makmee, Peera Wongupparaj

“…The current study investigated the efficacy of the virtual reality (VR) cognitive-based intervention on verbal and visuospatial short-term memory (STM), executive functions (EFs), and wellbeing among older adults with and without MCI. …”
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Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM by Kazuki Hebiguchi, Hiroyoshi Togo, Akimasa Hirata

“…Leveraging the PTB-XL ECG dataset, we preprocessed the signals to eliminate noise and trained a model integrating 1D convolutional layers with a Bi-directional Long Short-Term Memory (Bi-LSTM) architecture. Reconstruction performance was assessed using Pearson's correlation coefficient and root mean squared error (RMSE) across various input lead configurations, ranging from single to quintuple inputs. …”
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