Working capacity level defines the specific impairment profile of the comprehensive ICF core set for multiple sclerosis by Daiva Valadkevičienė, Irena Žukauskaitė, Indre Bileviciute-Ljungar, Rasa Kizlaitienė, Dalius Jatužis, Virginija Danylaitė Karrenbauer

“…The WCL3 group presented with pain, fatigue, and impairments to visual acuity, psychic stability, urination, and memory. This study has identified specific cICF-MS impairment profiles based on remaining WCL.…”
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DEVELOPMENT OF AN INTERACTIVE WEBSITE WITH DIDACTIC GAMES TO ENHANCE VOCABULARY IN YOUNG STUDENTS WITH INTELLECTUAL DISABILITIES by Anna Bober, Yuriy Kosenko, Olena Korol

“…They stimulate children's interest in learning words and expanding their vocabulary, develop cognitive and speech skills, improve memory and concentration, and increase motivation and enjoyment of learning. …”
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Deep immunophenotypic dissection and clinical impact of T cells in the follicular lymphoma microenvironment by Sary El Daker, David Qualls, Andriy Derkach, Samida Beqaj, Leonardo Boiocchi, Venkatraman Seshan, Jeeyeon Baik, Menglei Zhu, Gilles Salles, Ahmet Dogan, Mikhail Roshal, Pallavi Galera

“…Compared to FH, both FL-UT and FL-RR specimens exhibited depletion of CD4+ and CD8+ naive subsets and were characterized by an immune suppressive microenvironment enriched in specific inhibitory T-cells, along with exhausted memory T-cells overexpressing varying combinations of immune checkpoint receptors. …”
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Caption Generation Based on Emotions Using CSPDenseNet and BiLSTM with Self-Attention by Kavi Priya S, Pon Karthika K, Jayakumar Kaliappan, Senthil Kumaran Selvaraj, Nagalakshmi R, Baye Molla

“…The proposed work encapsulates the facial emotional features to produce more expressive captions similar to human-annotated ones with the help of Cross Stage Partial Dense Network (CSPDenseNet) and Self-attentive Bidirectional Long Short-Term Memory (BiLSTM) network. The encoding unit captures the facial expressions and dense image features using a Facial Expression Recognition (FER) model and CSPDense neural network, respectively. …”
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Framework Design for the Dynamic Reconfiguration of IoT-Enabled Embedded Systems and “On-the-Fly” Code Execution by Elmin Marevac, Esad Kadušić, Nataša Živić, Nevzudin Buzađija, Samir Lemeš

“…With these promising results, however, challenges like occasional deserialization time outliers and the need for optimization in memory management and network protocols remain for future work. …”
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A novel wireless sensor network deployment for monitoring and predicting abnormal actions in medical environment and patient health state by R. Manikandan, S. Arunprakash, Rakan A. Alsowail, Tharani Pandiaraj

“…The system employs deep convolutional neural networks (DCNNs) and long short-term memory (LSTM) models to automate healthcare functions such as patient monitoring, infrastructure management, and disease prediction. …”
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Impact of sleep quality on academic achievements of undergraduate medical students: a cross-sectional study from Saudi Arabia by Arwa Khaled, Dalia Almaghaslah, Ayesha Siddiqua, Geetha Kandasamy, Khalid Orayj

“…Sleep is essential for learning and memory consolidation. Good sleep is required for good academic performance. …”
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Neuroprotective Effect of Wharton’s Jelly-Derived Mesenchymal Stem Cell-Conditioned Medium (WJMSC-CM) on Diabetes-Associated Cognitive Impairment by Improving Oxidative Stress, Neu... by Zohre Aghaei, Narges Karbalaei, Mohammad Reza Namavar, Masoud Haghani, Mahboobeh Razmkhah, Mahdi Khorsand Ghaffari, Marzieh Nemati

“…In the current study, we aimed to examine the effects of Wharton’s jelly-derived mesenchymal stem cell-conditioned medium (WJMSC-CM) on learning and memory, oxidative stress, apoptosis, and histological changes in the hippocampus of diabetic rats. …”
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Implementation of the STEPPS program for the treatment of self-harm behaviors in Catalonia’s prisons: barriers and facilitators by Rosa Lorente-Català, Irene Jaén, Xavier Buscà-Huertas, Berta Framis, Azucena García-Palacios

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Developing a TinyML Image Classifier in an Hour by Riccardo Berta, Ali Dabbous, Luca Lazzaroni, Danilo Pietro Pau, Francesco Bellotti

“…., accuracy) and embedded systems (e.g., memory footprint, latency, and energy consumption). …”
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A Metaheuristic Approach to Detecting and Mitigating DDoS Attacks in Blockchain-Integrated Deep Learning Models for IoT Applications by Manal Alkhammash

“…Besides, the MHADMA-BCIDL technique employs an attention-based convolutional neural network with bi-directional long short-term memory (CNN-BiLSTM-Attention) method for the detection and classification of attacks. …”
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Development of Risk Activity Detection System for Forklifts Based on Inertial Sensors by Luciano Radrigan, Sebastian E. Godoy

“…In this paper, we developed convolutional neural networks (CNN) and long-term memory (LSTM) algorithms to infer a risky maneuver from the inertial sensors data and compared it to the outcome of a video-based model trained on data labeled by a risk-prevention engineer. …”
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Impact of lecture hall’s background noise on undergraduates’ higher order thinking skills: A field study by Nada Atef, Yasser Mansour, Hanan Sabry

“…The majority of research studies have examined the same impact on university students, however, most of the studies using task tests as an assessment approach only assess reading, writing, math, and memory tests. This research is a field study aimed at evaluating the impact of lecture hall background noise over undergraduates’ higher-order thinking skills. …”
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Enhancing Localization Accuracy and Reducing Processing Time in Indoor Positioning Systems: A Comparative Analysis of AI Models by Salwa Sahnoun, Rihab Souissi, Sirine Chiboub, Aziza Chabchoub, Mohamed Khalil Baazaoui, Ahmed Fakhfakh, Faouzi Derbel

“…This study examines Artificial Neural Networks (ANNs), Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNNs), and the Kalman filter using a real Received Signal Strength Indicator (RSSI) and 9-axis ICM-20948 sensor. …”
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Next generation sequencing of multiple SARS-CoV-2 infections in the Omicron Era by Marzia Cavalli, Giulia Campoli, Anna Anselmo, Rossella Brandi, Antonella Fortunato, Maria Di Spirito, Anella Monte, Martina Lipari, Manfredo Bortone, Vanessa Vera Fain, Raffaele D’Amelio, Florigio Lista, Silvia Fillo

“…Abstract Since the emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the need for an effective vaccine has appeared crucial for stimulating immune system responses to produce humoral/cellular immunity and activate immunological memory. It has been demonstrated that SARS-CoV-2 variants escape neutralizing immunity elicited by previous infection and/or vaccination, leading to new infection waves and cases of reinfection. …”
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Treating self-harm behaviors in prisons: implementation of the STEPPS program by Rosa Lorente-Català, Irene Jaén, Xavier Buscà-Huertas, Berta Framis, Azucena García-Palacios

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Natural bioactive compounds form herbal medicine in Alzheimer’s disease: from the perspective of GSK-3β by Mei Wang, Wendi Huang, Juan Huang, Juan Huang, Yong Luo, Yong Luo, Nanqu Huang, Nanqu Huang

“…Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss. Glycogen synthase kinase 3β (GSK-3β) plays a pivotal role in AD pathogenesis, particularly in tau protein hyperphosphorylation. …”
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Using Camshift and Kalman Algorithm to Trajectory Characteristic Matching of Basketball Players by Shuang Liang, Yang Li

“…The experimental results show that the detection time is greatly shortened, the memory space occupied is small, and the effect is very ideal.…”
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A hybrid CNN-LSTM model with adaptive instance normalization for one shot singing voice conversion by Assila Yousuf, David Solomon George

“…In the proposed singing voice conversion technique, an encoder decoder framework was implemented using a hybrid model of convolutional neural network (CNN) accompanied by long short term memory (LSTM). This paper investigated the use of activation guidance and adaptive instance normalization techniques for one shot singing voice conversion. …”
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Umbilical Cord Mesenchymal Stem Cells Overexpressing Heme Oxygenase-1 Promotes Symptoms Recovery in Cystitis Rats by Alleviating Neuroinflammation by Qiongqiong Gao, Zhentao Gao, Minzhi Su, Yong Huang, Chi Zhang, Cuiping Li, Hailun Zhan, Bolong Liu, Xiangfu Zhou

“…A series of behavioral measurements would be trial including suprapubic mechanical allodynia, depressive-like behaviors, micturition frequency, and short-term memory function. Additionally, western blot, immunofluorescence staining, and ELISA kit test for anti-inflammation effect. …”
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