Electrophysiological properties of melanin-concentrating hormone neuron subpopulations defined by anatomical localization and CART expression by Rafiat Damilola Adekunle, Mohammed Sohel Chowdhury, Lisa Z. Fang, Michiru Hirasawa

“…IntroductionMelanin-concentrating hormone (MCH) neurons are essential regulators of energy and glucose homeostasis, sleep–wake behaviors, motivation, learning and memory. These neurons are anatomically distributed across the medial (MH) and lateral hypothalamus (LH), and the adjacent zona incerta (ZI), which may represent functional subgroups with distinct connectivity with different brain regions. …”
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Perception of university students on the role of educational digital stimuli in achieving academic passion in vocational education by K. S. Aljedayah, A. M. Al-Duwairi, M. A. K. Al-Momani, M. M. Al-Mzary, M. O. Al-Momani, G. S. Khataybeh, A. S. Al-Abed Rhman

“…The study recommends designing educational environments that are attractive, interactive, and related to the students’ reality, using strategies for deep information processing, problem-solving method, creativity and critical thinking in order to achieve students’ involvement in learning.…”
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Nonlinearity of the post-spinel transition and its expression in slabs and plumes worldwide by Junjie Dong, Rebecca A. Fischer, Lars P. Stixrude, Matthew C. Brennan, Kierstin Daviau, Terry-Ann Suer, Katlyn M. Turner, Yue Meng, Vitali B. Prakapenka

“…Combining our data with results from the literature, and using a global analysis based on machine learning, we find a pronounced nonlinearity in the post-spinel boundary, with its slope ranging from –4 MPa/K at 2100 K, to –2 MPa/K at 1950 K, and to 0 MPa/K at 1600 K. …”
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CNFA: ConvNeXt Fusion Attention Module for Age Recognition of the Tangerine Peel by Fuqin Deng, Junwei Li, Lanhui Fu, Chuanbo Qin, Yikui Zhai, Hongmin Wang, Ningbo Yi, Nannan Li, TinLun Lam

“…This work investigates the automatic age recognition of the tangerine peel based on deep learning and attention mechanisms. We proposed an effective ConvNeXt fusion attention module (CNFA), which consists of three parts, a ConvNeXt block for extracting low-level features’ information and aggregating hierarchical features, a channel squeeze-and-excitation (cSE) block and a spatial squeeze-and-excitation (sSE) block for generating sufficient high-level feature information from both channel and spatial dimensions. …”
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LSTM Recurrent Neural Network-Based Frequency Control Enhancement of the Power System with Electric Vehicles and Demand Management by G. Sundararajan, P. Sivakumar

“…This research work investigates a deep learning strategy based on a long short-term memory recurrent neural network to identify active power fluctuations in real-time. …”
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Neural-field-based image reconstruction for bioluminescence tomography by Xuanxuan Zhang, Xu Cao, Jiulou Zhang, Lin Zhang, Guanglei Zhang

“…Deep learning (DL)-based image reconstruction methods have garnered increasing interest in the last few years. …”
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Integrating Modern Technologies into Traditional Anterior Cruciate Ligament Tissue Engineering by Aris Sopilidis, Vasileios Stamatopoulos, Vasileios Giannatos, Georgios Taraviras, Andreas Panagopoulos, Stavros Taraviras

“…Finally, we highlight the benefits of incorporating new technologies like artificial intelligence and machine learning that could revolutionize tissue engineering.…”
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Künstliche Intelligenz im Englischunterricht – Grundwissen und Praxisbeispiele by Inez De Florio-Hansen

“…What are the meanings of fundamental concepts such as algorithms, machine learning, and artificial neural networks? What are the best practices for inputting prompts (prompt engineering), and how can prompt quality be improved to achieve desired outcomes? …”
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Recurrent Multivalvular Staphylococcus Lugdunensis Endocarditis Causing Complete Heart Block after TAVR by Preeti Singhal, Somsupha Kanjanauthai, Wilson Kwan

“…Early surgery is recommended for PVE after TAVR, especially in cases with perivalvular disease causing conduction abnormalities. Learning Objectives. TAVR has revolutionized the management of severe aortic stenosis and has even been successfully utilized in select cases of aortic regurgitation. …”
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A meta-analysis of the effect of protein synthesis inhibitors on rodent fear conditioning by Carneiro, Clarissa F. D., Amorim, Felippe E., Amaral, Olavo B.

“…In this work, we studied protein synthesis inhibition, a classic intervention used to disrupt fear learning, reconsolidation, and extinction in rodents, to explore how meta-analyses can identify potential moderators of its effect. …”
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Functional Connectivity Analysis of NIRS Data under Rubber Hand Illusion to Find a Biomarker of Sense of Ownership by Naoki Arizono, Yuji Ohmura, Shiro Yano, Toshiyuki Kondo

“…The result suggests that the sense of ownership is related to neural mechanism underlying human motor control, and it would be determining whether motor learning (i.e., neural plasticity) will occur. Thus RHI with the functional connectivity analysis will become an appropriate biomarker for neurorehabilitation.…”
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Professional Self-Realization of Law Enforcement Officers at the Stage of Professional Training by N. Y. Tverdokliebova

“…The author has proved the expediency of forming value regulators of behavior and motivational sphere of future law enforcement officers in higher educational institutions with specific learning conditions, which may increase the efficiency of professional activity and self-realization of police officers in modern conditions.…”
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Mesenchymal Stromal Cells Suppress Hippocampal Neuron Autophagy Stress Induced by Hypoxic-Ischemic Brain Damage: The Possible Role of Endogenous IL-6 Secretion by Miao Yang, Wuqing Sun, Lu Xiao, Mulan He, Yan Gu, Ting Yang, Jie Chen, Xiaohua Liang

“…In the present study, MSC transplantation effectively ameliorated learning-memory function and suppressed stress-induced hippocampal neuron autophagy in HIBD rats. …”
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A data-driven latent variable approach to validating the research domain criteria framework by S. K. L. Quah, B. Jo, C. Geniesse, L. Q. Uddin, J. A. Mumford, D. M. Barch, D. A. Fair, I. H. Gotlib, R. A. Poldrack, M. Saggar

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Efficient digital quadratic unconstrained binary optimization solvers for SAT problems by Robert Simon Fong, Yanming Song, Alexander Yosifov

“…Many combinatorial optimization problems can be formulated in Boolean SAT logic—either as k -SAT decision problems or Max k -SAT optimization problems, with conflict-driven clause learning (CDCL) solvers being the most prominent. Despite their ability to handle large instances, CDCL-based solvers have fundamental scalability limitations. …”
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GroupFound: An effective approach to detect suspicious accounts in online social networks by Bo Feng, Qiang Li, Xiaowen Pan, Jiahao Zhang, Dong Guo

“…Most existing works mainly utilize machine learning based on features. However, once the spammers disguise the key features, the detection method will soon fail. …”
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Synaptic Plasticity, a Prominent Contributor to the Anxiety in Fragile X Syndrome by Tao Yang, Huan Zhao, Changbo Lu, Xiaoyu Li, Yingli Xie, Hao Fu, Hui Xu

“…Patients with FXS suffer from cognitive impairment, sensory integration deficits, learning disability, anxiety, autistic traits, and so forth. …”
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The Psychological Impact of COVID-19 on Medical Students: A Cross-Sectional Study. by Pınar Daylan Koçkaya

“…During the pandemic, 31% of the students expressed apprehension regarding their chosen profession, with 46% surpassing the CAS threshold and 27% scoring ≤8.Conclusion: During the pandemic, 21.7% of the students experienced heightened anxiety, which was influenced by remote learning and family COVID-19 cases. The students who experienced anxiety questioned their professional path and considered changing their specialty. …”
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Research on UAV Jamming Signal Generation Based on Intelligent Jamming by Haonan Xue, Zhihai Zhuo, Weihao Yan, Yuexia Zhang

“…The model leverages advanced convolutional networks to integrate the real and imaginary components of the signal for feature extraction, while the residual modules further refine signal processing and enhance feature learning. The model generates jamming signals by altering hidden layer features. …”
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Monsters Among Us: In What Ways Can the Viral Jubilee’s Trans Debate Video Contribute to Educational Discussions? by Sheng-Hsiang Lance Peng

“…Additionally, the value of guiding students to consistently question «who, where, and why» is emphasised, with a focus on how a monstrous lens can contribute to the enhancement of developmental learning experiences. This article addresses both educators and enthusiasts of gender perspectives, advocating for teaching environments that enable students to explore a world beyond societal expectations. …”
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