Incremental learning algorithm for dynamic evolution of domain specific vocabulary with its stability and plasticity analysis by Mansi Jain, Harmeet Kaur, Bhavna Gupta, Jaya Gera, Vandana Kalra

“…The proposed algorithm ensures bounded memory and processing requirements, distinguishing it from conventional approaches. …”
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Optimal Learning Behavior Prediction System Based on Cognitive Style Using Adaptive Optimization-Based Neural Network by Ghada Aldabbagh, Daniyal M. Alghazzawi, Syed Hamid Hasan, Mohammed Alhaddad, Areej Malibari, Li Cheng

“…In experimental section, the measures of accuracy, sensitivity, specificity, time (sec), and memory (bytes) are carried out. Each of the measure is compared with the proposed AONN and existing fuzzy logic methodologies. …”
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The TRPV1-PKM2-SREBP1 axis maintains microglial lipid homeostasis in Alzheimer’s disease by Xudong Sha, Jiayuan Lin, Kexin Wu, Jia Lu, Zhihua Yu

“…Capsaicin also rescued neuronal loss, tau pathology, and memory impairment in 3xTg mice. Our study suggests that TRPV1-PKM2-SREBP1 axis regulation of microglia lipid metabolism could be a therapeutic approach to alleviate the consequences of AD.…”
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Breast cancer classification based on hybrid CNN with LSTM model by Mourad Kaddes, Yasser M. Ayid, Ahmed M. Elshewey, Yasser Fouad

“…This paper presents a novel hybrid model of DL models combined a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) for binary breast cancer classification on two datasets available at the Kaggle repository. …”
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A Raspberry Pi-based Hardware Implementation of Various Neuron Models by Vedat Burak Yucedag, Ilker Dalkiran

“…The Raspberry Pi (RPi) microcontroller has the potential to be a new platform that can easily solve complex mathematical operations and does not have memory limitations, which will take advantage while realizing biological neuron models. …”
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SARM1 is essential for NMDA receptor-dependent endocytosis of AMPA receptors in hippocampal neurons by Misaki Morishita, Shinji Matsuda

“…Long-term depression (LTD) is a form of synaptic plasticity thought to be the cellular basis of experience-dependent learning and memory. LTD is caused by an activity-dependent decrease in cell surface α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA)-type glutamate receptors (AMPA receptors) at the postsynaptic sites. …”
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Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia by Nahla F. Omran, Sara F. Abd-el Ghany, Hager Saleh, Abdelmgeid A. Ali, Abdu Gumaei, Mabrook Al-Rakhami

“…This paper presents a comparative study of two deep learning methods to forecast the confirmed cases and death cases of COVID-19. Long short-term memory (LSTM) and gated recurrent unit (GRU) have been applied on time-series data in three countries: Egypt, Saudi Arabia, and Kuwait, from 1/5/2020 to 6/12/2020. …”
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Prediction of Global Ionospheric TEC Based on Deep Learning by Zhou Chen, Wenti Liao, Haimeng Li, Jinsong Wang, Xiaohua Deng, Sheng Hong

“…In this study, a prediction model of global IGS‐TEC maps are established based on testing several different long short‐term memory (LSTM) network (LSTM)‐based algorithms to explore a direction that can effectively alleviate the increasing error with prediction time. …”
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In Silico Design of a Trans-Amplifying RNA-Based Vaccine against SARS-CoV-2 Structural Proteins by Fatemeh Nafian, Ghazal Soleymani, Zahra Pourmanouchehri, Mahnaz Kiyanjam, Simin Nafian, Sayed Mohammad Mohammadi, Hanie Jeyroudi, Sharareh Berenji Jalaei, Fatemeh Sabzpoushan

“…Overall, the immune response simulation detected that activated B and T lymphocytes and increased memory cell formation. Macrophages and dendritic cells proliferated continuously, and IFN-γ and cytokines like IL-2 were released highly.…”
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The Influence of Playing a Non-Reward Game on Motor Ability and Executive Function in Parkinson’s Disease by Alisson Menezes Araújo Lima, Fabiana de Campos Cordeiro Hirata, Gabriela Sales de Bruin, Rosa Maria Salani Mota, Veralice Meireles Sales de Bruin

“…This study shows that the practice of a non-reward game acutely improved memory and motor skills in PD. Our results suggest a role for the reward system in the modulation of the dopaminergic function of the basal ganglia in these patients.…”
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Theoretical Accounts of Gulf War Syndrome: From Environmental Toxins to Psychoneuroimmunology and Neurodegeneration by Eamonn Ferguson, Helen J. Cassaday

“…., reduced food and water intake), cognitive (e.g., memory and concentration problems) and physiological (e.g., fever). …”
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Effect of rehabilitation training based on HT-CHC mode on cognitive ability of children with specific learning disabilities by LUO Dandan, SHEN Min

“…Results After the rehabilitation treatment， children with SLD showed significant improvement in sensory integration （vestibular sense， proprioception， and learning ability）， writing performance （neatness， pen grip engineering， and writing direction）， visual-perceptual function （visual discrimination， visual memory， spatial relationship， and visual completion）， rapid naming （rapid naming of numbers and pictures）， and attention compared with the pre-treatment period （all <i>P &lt; </i>0.05）. …”
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Apply a deep learning hybrid model optimized by an Improved Chimp Optimization Algorithm in PM2.5 prediction by Ming Wei, Xiaopeng Du

“…The extracted feature vector sequences are then fed into a Long Short-Term Memory Network (LSTM). After the LSTM, an Attention Mechanism is incorporated to assign different weights to the input features, emphasizing the role of the important features. …”
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Real-time discrimination of earthquake signals by integrating artificial intelligence technology into IoT devices by Zhi Geng, Yanfei Wang, Wenyong Pan, Caixia Yu, Zhijing Bai, Hongzhou Zhang

“…The model can be deployed on Internet of Things (IoT) devices, including most microcontrollers, which are constrained by limited computational resources (kilo-bytes of memory) and energy consumption (micro-Watts). The results indicate the prospect of on-site missions of artificial intelligent sensors.…”
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A Comprehensive Review of Vision-Based Sensor Systems for Human Gait Analysis by Xiaofeng Han, Diego Guffanti, Alberto Brunete

“…Furthermore, depth learning algorithms, such as convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, are being employed with increasing frequency. …”
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The Effect of High-Intensity Interval Training (HIIT) on Brain-Derived Neurotrophic Factor Levels (BNDF): A Systematic Review by Milosz Mielniczek, Tore Kristian Aune

“…Concurrently, brain-derived neurotrophic factor (BDNF) supports neuronal resilience and activity-dependent plasticity, which are vital for learning and memory. This study aims to systematically review changes in BDNF levels in response to HIIT, with three primary objectives: evaluating the benefits of HIIT for BDNF modulation, assessing methodological quality and the risk of bias in reviewed studies, and identifying patterns in BDNF response based on HIIT protocols and population characteristics. …”
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Investigating the Therapeutic Mechanisms of Total Saikosaponins in Alzheimer’s Disease: A Metabolomic and Proteomic Approach by Huiling Wei, Tianyi Du, Weiwei Zhang, Wei Ma, Yao Yao, Juan Li

“…Behavioral tests demonstrated that TSS effectively improved the learning and memory functions of mice. <b>Conclusions</b>: Our findings suggest that TSS ameliorate cognitive decline through regulating neuroinflammatory pathways, cAMP and cGMP signaling, and synaptic plasticity pathways, providing insights into its therapeutic potential in AD.…”
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Application of Classical and Genomic Cryptography on Textual Dataset by İbrahim Türkoğlu, Alev Kaya

“…Performance criteria are determined as encoding and decoding times (seconds), memory consumption (MB) and processor usage (%), which are accepted in the literature for textual data type. …”
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The Role of Inflammation, Oxidative Stress, Neuronal Damage, and Endothelial Dysfunction in the Neuropathology of Cognitive Complications in Diabetes: A Moderation and Mediation An... by Betul Sumbul‐Sekerci, Ozge Pasin, Ezgi Balkan, Abdusselam Sekerci

“…Results After adjusting for age, education, and gender, group comparisons revealed significant cognitive impairment in patients with T2DM, particularly in visuospatial functions, naming, language, and memory performance, compared to the control group. …”
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Novel computations of the time-fractional chemical Schnakenberg mathematical model via non-singular kernel operators by Abdul Hamid Ganie, Fatemah Mofarreh, N. S. Alharthi, Adnan Khan

“…In reality, the model provides fractional derivatives, which have greatly advanced the study of mathematical modelling involving memory effect. Thus, the authors of this study developed an approach for solving the fractional order Schnakenberg model. …”
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