In Situ XOR Encryption for Lightweight Security Using Nanoelectromechanical Physically Unclonable Functions by Changha Kim, Jin Wook Lee, Geun Tae Park, Myeong Su Shin, Seung Hun Baek, Jae Seung Woo, Woo Young Choi

“…An in situ XOR encryption/decryption approach using a nanoelectromechanical physically unclonable function (NEM‐PUF) is proposed for the first time. …”
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Ptprd deficiency promotes tau hyperphosphorylation and impairs cognitive function in aged mice by Analía Foncea, Nayhara Franchini, Isidora Tobar, Sebastián Thienel, Ignacio N. Retamal, Gonzalo I. Cancino, Francisca Cornejo

“…Behavioral assessments revealed significant impairments in learning and memory, demonstrating the functional impact of these alterations. …”
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Unravelling the interplay: brain regional atrophy and neuropsychological function in early Alzheimer’s disease by Doyun Heo, Min-Seong Kim, Yun-Jin Lee, Seon-Kyeong Kim, Yong Sung Kim, Wonjae Sung, Hee-Jin Kim

“…Memory functions, including Seoul verbal learning test (SVLT), Rey complex figure test (RCFT) recall and recognition tests, were significantly correlated with both the temporal and frontal regions. …”
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Sleep assessment in adults with Down syndrome: correlation between functionality and polysomnographic findings by Marilia Rezende Callegari, Kelly Brito dos Santos, Barbara Valente de Oliveira, Ana Rita Avelino Amorim, Raquel Cymrot, Silvana Maria Blascovi-Assis

“…Background Sleep disorders have a negative impact on health, being associated with neurocognitive problems, cardiovascular diseases and obesity, influencing children's development and learning. Objective To assess the sleep pattern of people with Down syndrome (DS) and correlate changes with functionality and behavior. …”
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Syngap1 promotes cognitive function through regulation of cortical sensorimotor dynamics by Thomas Vaissiere, Sheldon D. Michaelson, Thomas Creson, Jessie Goins, Daniel Fürth, Diana Balazsfi, Camilo Rojas, Randall Golovin, Konstantinos Meletis, Courtney A. Miller, Daniel O’Connor, Lorenzo Fontolan, Gavin Rumbaugh

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Immune checkpoint inhibition perturbs neuro-immune homeostasis and impairs cognitive function by Onwodi V. Ifejeokwu, An H. Do, Sanad M. El Khatib, Nhu N. Ho, Angel Zavala, Shivashankar Othy, Munjal M. Acharya

“…One month after completing ICI treatment, mice were evaluated for learning, memory, and memory consolidation cognitive function tasks. …”
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Assessment of motor skills associations with executive functioning in children of senior preschool age by T.V. Zhilyaeva, E.M. Tolstobrova, O.M. Silantyeva, U.A. Nasonova, I.V. Brak, V.Yu. Borisov, Yu.M. Taraday, A.M. Borisova

“…</strong> The article examines the relationship between motor skills (fine and gross motor skills, motor reaction time) and executive functioning (EF), which is the most important predictor of future academic success. …”
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Omega-3 Fatty Acids: Key Players in Cognitive Function and Brain Health by Wiktoria Wesołowska, Emilia Bachoń, Michalina Doligalska, Aleksandra Stremel, Agnieszka Leszyńska, Julia Linke, Zuzanna Bałoniak, Dominika Kozłowska, Julia Bałoniak, Weronika Tuszyńska

“…Materials and methods: This study involves a comprehensive review of scientific literature on the impact of omega-3 fatty acids on brain health and cognitive functions. The literature search was conducted using PubMed and Google Scholar, focusing on peer-reviewed articles, clinical trials, and meta-analyses relevant to omega-3 fatty acids, brain health, cognitive functions, and mental health outcomes. …”
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A machine learning method for predicting molecular antimicrobial activity by Bangjiang Lin, Shujie Yan, Bowen Zhen

“…Abstract In response to the increasing concern over antibiotic resistance and the limitations of traditional methods in antibiotic discovery, we introduce a machine learning-based method named MFAGCN. This method predicts the antimicrobial efficacy of molecules by integrating three types of molecular fingerprints—MACCS, PubChem, and ECFP—along with molecular graph representations as input features, with a specific focus on molecular functional groups. …”
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Neurogenetic phenotypes of learning-dependent plasticity for improved perceptual decisions by Liz Yuanxi Lee, Joseph J. Ziminski, Polytimi Frangou, Vasilis M. Karlaftis, Yezhou Wang, Boris Bernhardt, Varun Warrier, Richard A. I. Bethlehem, Zoe Kourtzi

“…Further, we show that brain stimulation in visual cortex during training boosts learning and alters functional connections, rather than microstructure organization, within and between these networks. …”
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Time-dependent consolidation mechanisms of durable memory in spaced learning by Yifeixue Yang, Ziyi Huang, Yun Yang, Mingxia Fan, Dazhi Yin

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A Review on Medical Image Analysis Using Deep Learning by Raju Egala, M. V. S. Sairam

“…The Coevolution Neural Network (CNN) is the predominant neural network architecture used in Deep Learning (DL) for medical image analysis. Recently, various innovative technics of DL such as different activation functions, optimization technics, and loss functions have enhanced the performance of CNNs. …”
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Deep Learning-Augmented Evolutionary Strategies for Intelligent Global Optimization by Absalom El-Shamir Ezugwu, Olaide Nathaniel Oyelade, Jeffrey Ovre Agushaka, Apu Kumar Saha

“…This paper introduces the Susceptible-Infected-Removed Optimizer (SIRO), a novel learned heuristic inspired by biological systems and deep learning techniques. …”
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Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography by Joseph Shtok, Michael Elad, Michael Zibulevsky

“…The shrinkage functions are learned using a training set of reference CT images. …”
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A Sign Language Learning Application for Children with Hearing Difficulties by Kuniomi Shibata, Akira Hattori, Sayaka Matsumoto

“…The purpose of this paper is to develop a mobile application to support both sign language and literacy skills among children with hearing difficulties as part of rehabilitation engineering and to implement its basic functionality. This study will make it possible to support children with hearing difficulties in learning written language in combination with sign language, thereby emphasizing the importance of the latter, and in learning and communicating with their parents who use spoken language. …”
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Native learning ability and not age determines the effects of brain stimulation by Pablo Maceira-Elvira, Traian Popa, Anne-Christine Schmid, Andéol Cadic-Melchior, Henning Müller, Roger Schaer, Leonardo G. Cohen, Friedhelm C. Hummel

“…Abstract Healthy aging often entails a decline in cognitive and motor functions, affecting independence and quality of life in older adults. …”
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MILITARY ASPECTS HYBRID WARFARE`S COUNTERING: CONTENT AND LESSONS LEARNED by Ol'ga F. Salníkova, Victor S. Korendovych, Serhii I. Antonenko, Pavlo A. Minieiev

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USE OF PARALLEL AND FACET ASSIGNMENTS IN THE SYSTEM OF DISTANT LEARNING “MOODLE” by Anatoly A. Yerofeyev, Oleg A. Sychev

“…The paper describes features and advantages of parallel and facet tests and tasks, their implementation in various popular learning management systems. Principles of functioning and advantages of developed module for LMS Moodle are described. …”
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Pattern recognition in living cells through the lens of machine learning by Frank Britto Bisso, Rodrigo Aguilar, Durga Shree, Yinan Zhu, Mijael Espinoza, Benjamin Diaz, Christian Cuba Samaniego

“…In this report, we contextualize machine learning concepts within a biological framework to explore the structural and functional similarities (and differences) between artificial neural networks, signalling pathways and gene regulatory networks. …”
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Firefly algorithm with multiple learning ability based on gender difference by Wenning Zhang, Chongyang Jiao, Qinglei Zhou

“…The performance is evaluated on 23 numerical functions, 30 CEC 2017 benchmark functions and an automatic test data generation problem. …”
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