eEF-2K Deficiency Boosts the Virus-Specific Effector CD8⁺ T Cell Responses During Viral Infection by Liqing Wang, Benny Shone Song, Rayansh Poojary, Xiaofang Xiong, Xingcong Ren, Jin-Ming Yang, Jianxun Song

“…We found that eEF-2K-deficient (eEF-2K⁻/⁻) mice exhibited a significantly higher proportion of VACV-specific effector CD8⁺ T cells without compromising the development of VACV-specific memory CD8⁺ T cells. RNA sequencing demonstrated that eEF-2K⁻/⁻ VACV-specific effector CD8⁺ T cells had enhanced functionality, which improves their capacity to combat viral infection during the effector phase. …”
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Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Clustering Technique by Karan Kumar, Shweta Agrawal, Isha Suwalka, Celestine Iwendi, Cresantus N. Biamba

“…Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder characterized by memory loss, behavioral changes, and impaired self-care, often preceded by Mild Cognitive Impairment (MCI). …”
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Posttraining Alpha Transcranial Alternating Current Stimulation Impairs Motor Consolidation in Elderly People by Jost-Julian Rumpf, Alexandru Barbu, Christopher Fricke, Mirko Wegscheider, Joseph Classen

“…Our findings point to a frequency-specific interaction of tACS with posttraining motor memory processing and may suggest an inhibitory role of immediate posttraining alpha oscillations in M1 with respect to motor consolidation in healthy older adults.…”
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F10.7 Daily Forecast Using LSTM Combined With VMD Method by Yuhang Hao, Jianyong Lu, Guangshuai Peng, Ming Wang, Jingyuan Li, Guanchun Wei

“…In this study, the Variational Mode Decomposition (VMD) and Long Short‐term Memory (LSTM) network are combined to construct a VMD‐LSTM model for predicting F10.7 values. …”
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End-to-end neural automatic speech recognition system for low resource languages by Sami Dhahbi, Nasir Saleem, Sami Bourouis, Mouhebeddine Berrima, Elena Verdú

“…An on-the-fly data augmentation method is applied to these mel-spectrograms, treating them as images from which features are extracted to train a convolutional neural network (CNN) and a bidirectional long short-term memory (BLSTM)-based ASR. The E2E architecture of this system achieves optimal WER and CER performance. …”
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Automatic Synthesis of Recurrent Neurons for Imitation Learning From CNC Machine Operators by Hoa Thi Nguyen, Roland Olsson, Oystein Haugen

“…We compare the performance of our evolved neurons with support vector machine and four well-established neural network models commonly used for time series data: simple recurrent neural networks, long-short-term-memory, independently recurrent neural networks, and transformers. …”
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Modulation of Second Messenger Signaling in the Brain Through PDE4 and PDE5 Inhibition: Therapeutic Implications for Neurological Disorders by Min Kyu Park, Hyun Wook Yang, Seo Young Woo, Dong Yeon Kim, Dae-Soon Son, Bo Young Choi, Sang Won Suh

“…Among the 11 PDE subtypes, PDE4 and PDE5 are particularly significant due to their regulation of cyclic adenosine monophosphate (cAMP) and cyclic guanosine monophosphate (cGMP) signaling, respectively, which are vital for learning, memory, and neuroprotection. This review synthesizes current evidence on the roles of PDE4 and PDE5 in neurological health and disease, focusing on their regulation of second messenger pathways and their implications for brain function. …”
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Personalized tourism recommendation model based on temporal multilayer sequential neural network by XueFei Xiao, ChunHua Li, XingJie Wang, AnPing Zeng

“…Additionally, the multilayer Long Short-Term Memory neural network module, built through hierarchical time series modeling, deeply captures the complex temporal dependencies in travel routes, improving the relevance of the recommendation results and the ability to recognize long-duration travel behaviors. …”
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Enhancing Particulate Matter Estimation in Livestock-Farming Areas with a Spatiotemporal Deep Learning Model by Dohyeong Kim, Heeseok Kim, Minseon Hwang, Yongchan Lee, Choongki Min, Sungwon Yoon, Sungchul Seo

“…Using a 200 m × 200 m prediction grid, forecasts were generated for both 1 h and 24 h intervals using the Graz Lagrangian model (GRAL) and a one-dimensional convolutional neural network combined with the long short-term memory algorithm (1DCNN-LSTM). Results highlight the potential of the deep learning model to enhance PM prediction, indicating its promise as an effective alternative or supplement to conventional air dispersion models, particularly in data-scarce areas such as those surrounding livestock farms. …”
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Topic-aware neural attention network for malicious social media spam detection by Maged Nasser, Faisal Saeed, Aminu Da’u, Abdulaziz Alblwi, Mohammed Al-Sarem

“…Therefore, inspired by the success of the neural attention network, we propose an interactive neural attention-based method for malicious spam detection by integrating long short-term memory (LSTM), topic modelling, and the BERT technique. …”
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Combined PARP14 inhibition and PD-1 blockade promotes cytotoxic T cell quiescence and modulates macrophage polarization in relapsed melanoma by Chun Wai Wong, Rotem Leshem, Kieran Neil Sefton, I-Hsuan Lin, Dervla Tamara Isaac, Mario Niepel, Adam Hurlstone

“…Using preclinical models and single-cell RNA sequencing, we investigated immune and tumor cell adaptations to PARP14 inhibition combined with PD-1 blockade.Results Combining PARP14 inhibition and PD-1 blockade suppressed tumor-associated macrophages while increasing proinflammatory memory macrophages. Moreover, this combination mitigated the terminal exhaustion of cytotoxic T cells by inducing a quiescent state, thereby preserving functionality. …”
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A virtual-reality (VR) cognitive pupillometry analysis of auditory and visual phonemic awareness tasks involving ‘th’ sound variations by Mohsen Mahmoudi-Dehaki, Nasim Nasr-Esfahani

“…Besides, qualitative findings identified the following factors as the most probable causes of the observed differences in CL levels among participants: (a) segmental differences, (b) phonological transfer, (c) phonological fossilization, (d) working memory constraints, (e) cognitive flexibility, and (f) task delivery methods. …”
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Prediction of mechanical characteristics of shearer intelligent cables under bending conditions. by Lijuan Zhao, Dongyang Wang, Guocong Lin, Shuo Tian, Hongqiang Zhang, Yadong Wang

“…This paper proposes a shearer optical fiber cable mechanical characteristics prediction model based on Temporal Convolutional Network (TCN), Bidirectional Long Short-Term Memory (BiLSTM), and Squeeze-and-Excitation Attention (SEAttention), referred to as the TCN-BiLSTM-SEAttention model. …”
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The Processing of Phi-features in Sentences with Third-person Pronoun: An ERP Study in Turkish by Mehmet AYGÜNEŞ

“…It is suggested that the late N400 finding in the processing of the Number feature may be due to the load it imposes on the processing process due to the fact that the morphological appearance of the Number feature in verb conjugation is parallel to nominal pluralisation, and the greater demand on working memory as the resolution of the Number mismatch involves more alternatives than the Person mismatch.…”
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Research Progress of Common Rehabilitation Training Methods in Mild Cognitive Impairment by WANG Yiyuan, FAN Chenyu, WANG Nianhong, WU Yi

“…Mild cognitive impairment (MCI) is a transition state between normal aging and dementia, in which a person is still able to be independent in daily activities, but memory and logical thinking skills may have a distinctly decline. …”
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Fetal and Neonatal Levels of Omega-3: Effects on Neurodevelopment, Nutrition, and Growth by Juliana Rombaldi Bernardi, Renata de Souza Escobar, Charles Francisco Ferreira, Patrícia Pelufo Silveira

“…Evidence from animal models of dietary n-3 LCPUFAs deficiency suggests that these fatty acids promote early brain development and regulate behavioral and neurochemical aspects related to mood disorders (stress responses, depression, and aggression and growth, memory, and cognitive functions). Preclinical and clinical studies suggest the role of n-3 LCPUFAs on neurodevelopment and growth. n-3 LCPUFAs may be an effective adjunctive factor for neural development, growth, and cognitive development, but further large-scale, well-controlled trials and preclinical studies are needed to examine its clinical mechanisms and possible benefits. …”
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Validation of the International Trauma Interview (ITI) among treatment-seeking people with adverse childhood experiences in South Korea by Hyunjung Choi, Hae Seong Lee, Neil P. Roberts

“…Future research should aim to assess the agreement between ITI and ITQ while also seeking alternative criteria for ITI PTSD across variant trauma memory features.…”
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Comparison and Evaluation of the Effectiveness of Traditional Neuroanatomy Teaching in Medical Education with Virtual-Reality Application Based On 3D Virtual by Ece Alim, Özlem Coşkun, Tuncay Veysel Peker

“…Conclusion: Our study contributes to the literature by demonstrating the positive long-term effects of VR-based neuroanatomy training on memory.…”
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A State-of-the-Art Fractional Order-Driven Differential Evolution for Wind Farm Layout Optimization by Sichen Tao, Sicheng Liu, Ruihan Zhao, Yifei Yang, Hiroyoshi Todo, Haichuan Yang

“…In this paper, we propose a Fractional-Order Difference-driven DE Optimization Algorithm called FODE. By introducing the memory and non-local properties of fractional-order differences, FODE effectively overcomes the adaptability issues of advanced DE variants in WFLOP’s discreteness while organically applying their global optimization capabilities for complex nonlinear problems to WFLOP to achieve more efficient overall optimization performance. …”
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Impact of Phenomenon-Based Learning on High School Physics Education in Shymkent, Kazakhstan by Bayan Ualikhanova, Ganya Ormanova, Dauletbay Berdaliyev, Nurken Mussakhan, Bakdaulet Anas, Ertan Güdekli

“…In addition, a survey was conducted to determine the rationale for the interaction of students with physics both in the academic environment and in practical use as well as to assess the longevity of these acquired abilities in the memory of students. The results show that the introduction of PhBL led to an enhancement in student performance, with an increase of more than 10%. …”
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