The Basic Requirements of the Multi-Syllabus Syllabus by Riad BELOUAHEM

“…It goes without saying that a successful course which is more eagerly looked for is the one which combines all essential aspects: structure, function, situation, topic, skills in an integrated and coherent way.     …”
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White matter hyperintensities, inflammation and cognitive impairments in drug-naïve first episode schizophrenia patients: a cross-sectional study by Yan Zhang, Xiuxia Yuan, Yu Zhang, Yishao Chen, Keju Su, Kangkang Xue, Suying Ding, Jingfeng Chen, Xiaoduo Fan, Xueqin Song

“…Abstract Background Studies have reported that white matter hyperintensities (WMHs) are associated with disturbances in immune function, and the relationship between WMHs and cognitive impairments have been documented in various clinical populations. …”
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Evidence from NHANES 2011–2014: a correlation between the weight-adjusted-waist index and cognitive abilities in the United States by Chan Zhao, Xintian Xu, Chunyan Hao

“…BackgroundObesity exerts a significant detrimental impact on cognitive function. The weight-adjusted waist index (WWI) serves as a more precise indicator of visceral obesity that is independent of weight, in contrast to body mass index (BMI). …”
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A Comparative Analysis of Effects of Rehabilitation Services on Symptomatology of Parkinson’s Disease-An Umbrella Review of Systematic Reviews and Meta-Analyses by Zobia Farooq, Rayan Aboakel, Rabeaa Sahar, Zareen Akhtar, Tahira Irshad, Jennifer Geller

“…The most studied outcomes were balance, quality of life, gait, depressive symptoms, vocal function, sleep, and respiratory function. Most studies reported significant improvements in balance, quality of life, depressive symptoms, vocal function, sleep, and respiratory function. …”
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Cognitive reserve in subjective cognitive decline with worry: DMN–VN connectivity supports episodic memory under structural vulnerability by Lanli Jiang, Shaokun Zhao, Ting Li, Jiawen Liu, Junyin Zhang, Zhanjun Zhang, Xin Li

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Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-based Likelihoods and Priors by Alexandre Adam, Connor Stone, Connor Bottrell, Ronan Legin, Yashar Hezaveh, Laurence Perreaul-Levasseur

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Application of Convolutional Neural Network (CNN) Algorithm with ResNet-101 Architecture for Monkey Pox Detection in Human by Al Fathir Rizal Januar, Jamaludin Indra, Dwi Sulistya Kusumaningrum, Sutan Faisal

“…The model is trained using the Adam optimizer, categorical crossentropy loss function, and an adaptive learning rate reduction. …”
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AI powered ELT: Instructors' transformative roles and opportunities. by Afnan Almegren, Rehan Megren Almegren, Abduljalil Nasr Hazaea, Hassan Saleh Mahdi, Jamal Kaid Mohammed Ali

“…The integration of artificial intelligence (AI) in education is reshaping English language teaching (ELT), redefining the 'assistant' function of technology and the 'interaction' roles of language instructors. …”
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Parallel synapses with transmission nonlinearities enhance neuronal classification capacity. by Yuru Song, Marcus K Benna

“…Cortical neurons often establish multiple synaptic contacts with the same postsynaptic neuron. To avoid functional redundancy of these parallel synapses, it is crucial that each synapse exhibits distinct computational properties. …”
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Research on Fault Diagnosis Method Based on Rule Base Neural Network by Zheng Ni, Zhang Lin, Wang Wenfeng, Zhang Bo, Liu Yongjin, Zhang Dajiang

“…An improved fuzzy neural construction model is designed, in which the calculated methods of node function and membership function are also given. Simulation results confirm the effectiveness of this method.…”
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Routing algorithm for railway monitoring linear WSN based on improved PSO by Cuiran LI, Xuejie WANG, Jianli XIE, Anqi LYU

“…To solve the problems of short network lifetime and large data transmission delay, caused by unbalanced node energy consumption of linear wireless sensor network in railway monitoring scenario, a routing algorithm based on particle swarm optimization theory and breadth first search was proposed.The fitness function was constructed based on the relative energy consumption, spacing and load of candidate cluster heads.The local search ability of particle swarm algorithm was enhanced by adjusting the inertia weight coefficient to set up the cluster head optimal set.Meanwhile, a path cost function driven by energy consumption and delay was built up, and the optimal main path from the source node to the sink node was obtained by breadth first search.Lastly, a Q-learning alternative path updating and route maintenance mechanism based on discrete Markov decision process (MDP) was designed.Simulation results show that the proposed algorithm can balance the node energy consumption effectively, and has also advantages in prolonging the network lifetime and reducing the data transmission delay.…”
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CAPTCHA Recognition Method Based on CNN with Focal Loss by Zhong Wang, Peibei Shi

“…For this reason, the paper proposes a CAPTCHA recognition method based on convolutional neural network with focal loss function. This method improves the traditional VGG network structure and introduces the focal loss function to generate a new CAPTCHA recognition model. …”
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Emotional Semantic Recognition of Visual Scene in Flash Animation by Shi Lin, Xu Zhenguo, Meng Xiangzeng

“…Finally, we use BP neural network with appropriate transfer function and learning function for training to obtain the rules for mapping from visual features of the visual scene to semantic space and, at last, complete the automatic classification work of emotional semantic of the visual scene. …”
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A Common Language: How Neuroimmunological Cross Talk Regulates Adult Hippocampal Neurogenesis by Odette Leiter, Gerd Kempermann, Tara L. Walker

“…Less is known about how the immune system regulates the brain during normal brain function. Recent work has redefined the field of neuroimmunology and, as long as their recruitment and activation are well regulated, immune cells are now known to have protective properties within the central nervous system in maintaining brain health. …”
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Analisis Metode Montessori dalam Meningkatkan Kemampuan Membaca Permulaan Siswa Kelas Rendah SD/MI by Nura Azkia, Nur Rohman

“… Reading is the highest function that comes from the human brain. Reading as a basic foundation in academic ability. …”
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An Improved CEEMDAN-FE-TCN Model for Highway Traffic Flow Prediction by Heyao Gao, Hongfei Jia, Lili Yang

“…A hybrid predicting model based on deep learning is proposed in this paper, including three steps. …”
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The evaluation of course teaching effect based on improved RBF neural network by Hanmei Wu, Xiaoqing Cai, Man Feng

“…As basic education is increasingly digitized, the need for better teaching and learning quality also rises. Teaching reform is crucial to achieve this, and incorporating the Levenberg-Marquardt (L-M) into the Radial Basis Function (RBF) can help establish a fair online teaching evaluation system. …”
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Protective effect of extract of the Camellia japonica L. on cerebral ischemia-reperfusion injury in rats by Weizhuo Lu, Ling Xv, Jiyue Wen

“…The animals received an intravenous injection once a day of 20, 40, 80 mg/kg extract of C. japonica for three consecutive days before the ischemia reperfusion. The learning and memory function, the infarct volume, serum malondialdehyde (MDA) level and lactate dehydrogenase activity, and extravasation of immunoglobulin G (IgG) into cerebral parenchyma were assessed as the cell damage index. …”
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The use of artificial intelligence in stereotactic ablative body radiotherapy for hepatocellular carcinoma by Atsuto Katano

“…This review summarizes recent advances in AI applications across the SABR workflow, including automated contouring, knowledge-based planning, fluence prediction via deep learning, respiratory motion modeling, liver function estimation, and prognostic modeling. …”
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An Exoatmospheric Homing Guidance Law Based on Deep Q Network by Jin Tang, Zhihui Bai, Yangang Liang, Fan Zheng, Kebo Li

“…The homing guidance problem is first transformed into a Markov decision process, and a three-dimensional (3D) interception scenario is established. Then, the reward function considering the line-of-sight (LOS) rate and the final zero-effort-miss (ZEM) is designed, and the homing guidance problem is transferred to the reinforcement learning framework. …”
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