Rational inattention and tonic dopamine. by John G Mikhael, Lucy Lai, Samuel J Gershman

“…Slow-timescale (tonic) changes in dopamine (DA) contribute to a wide variety of processes in reinforcement learning, interval timing, and other domains. Furthermore, changes in tonic DA exert distinct effects depending on when they occur (e.g., during learning vs. performance) and what task the subject is performing (e.g., operant vs. classical conditioning). …”
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Application of Artificial Intelligence in Obsessive-Compulsive Disorder Detection and Response to Treatment: A Systematic Review by Faezeh Ghasemi, Ahmad Shalbaf, Ali Esteki

“…This study reviews the application of artificial intelligence (AI), particularly traditional machine learning (ML) and deep learning (DL), in the detection of OCD and the prediction of responses to various treatments from clinical data and neuroimaging modalities, including electroencephalography (EEG), magnetic resonance imaging (MRI), functional MRI (fMRI) and diffusion tensor imaging data (DTI). …”
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THE DEVELOPMENT OF A MOBILE APPLICATION ISMIND FOR FORMATIVE STUDENTS’ ASSESSMENT by Aslina Saad, Fatin Naiemah Khairulanuar, Bahbibi Rahmatullah

“… Nowadays, mobile learning utilizing mobile applications has become widely adopted due to its flexibility and the numerous benefits it offers. …”
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The detection of distributional discrepancy for language GANs by Xingyuan Chen, Peng Jin, Ping Cai, Hongjun Wang, Xinyu Dai, Jiajun Chen

“…Besides that, we design a comprehensive experiment to investigate the performance during the learning process. First, we evaluate a language model with two functions and identify a large discrepancy. …”
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PICNIC accurately predicts condensate-forming proteins regardless of their structural disorder across organisms by Anna Hadarovich, Hari Raj Singh, Soumyadeep Ghosh, Maxim Scheremetjew, Nadia Rostam, Anthony A. Hyman, Agnes Toth-Petroczy

“…Overall, we present a machine learning classifier to interrogate condensate components at whole-proteome levels across the tree of life.…”
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Motor-based prediction mediates implicit vocal imitation by Yuchunzi Wu, Zhili Han, Xing Tian

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PREREQUISITES FOR DEVELOPING AND IMPLEMENTING THE NATIONAL QUALIFICATIONS SYSTEM by Olga N. Oleynikova

“…The author regards the role of national qualifications framework as a reorganization stimulus for vocational training and lifelong learning developments. The learning outcomes are regarded as the key methodology element of identification, estimation and comparison of qualifications in question. …”
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DNA Methylation and Histone Acetylation Contribute to the Maintenance of LTP in the Withdrawal Behavior Interneurons in Terrestrial Snails by Alena Zuzina, Daria Kolotova, Pavel Balaban

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Investigation into fatigue micro-crack identification of steel bridge decks based on acoustic emission detection technology. by Li Jiaqing, Song Fei, Xiao Zidong, Zhu Longji, Chen Lan, Wei Zheliang

“…The K-SVD algorithm functions as an adaptive filter, learning from AE signals in various damage states to remove background noise and retain critical structural characteristics. …”
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Tuturan Perintah Guru dalam Pembelajaran Bahasa Indonesia dengan Metode Ceramah Plus Tanya Jawab dan Tugas (CPTT) di SD Negeri 01 Maguan by Widi Sukmawati Trisnatul Rohma, Arti Prihatini

“… The teacher's orders are verbal tactics used to condition the learning process and encourage students to do something. …”
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Contributions of the multiple demand network to emergent and skilled reading by Anna Chrabaszcz, Kailee Lear, Corrine Durisko, Julie A. Fiez

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Toni Morrison’s Beloved: Plantations, Pedagogy and the Future of Digital Slavery by Jeremy Dennis

“…For scholars who study the history of slavery in the United States, the claim that slave plantations functioned like schools is controversial but hardly original. …”
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Budding Well: A Fun and Sharing-based Rehabilitation Program through Music and Arts for the Children and Teenagers with Extremity Anomalies by Pak-Cheong Ho, Josephine M-W Wong, Wai-Wang Chau, Alice H-Y Cheung, Hiu-Wun Wong, Gabby S-S Hui, Edwin Lee, Judia S-C Yue, Michael Mak, Wing-Lim Tse

“…The course consisted of 10 learning classes on playing harmonica (music) or painting (arts). …”
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Activated TBK1 promotes ACSL1-mediated microglia lipid droplet accumulation and neuroinflammation in Parkinson’s disease by Chunlei Han, Huizhi Wang, Moxuan Zhang, Liuliu Wu, Anni Wang, Pengda Yang, Yuan Gao, Chaonan Zhang, Jianing Gao, Tao Xue, Tingting Du, Yucheng Ji, Lin Shi, Chunkui Zhang, Renpeng Li, Yilei Xiao, Jianguo Zhang, Fangang Meng

“…The results of multiple loss- and gain-of-function experiments indicate that ACSL1 localized to the endoplasmic reticulum (ER) promotes lipid droplet accumulation to exacerbate microglial activation and dopaminergic neurons death. …”
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BCDDM: Branch Correction Denoising Diffusion Model for Black Hole Image Generation by Ao Liu, Zelin Zhang, Songbai Chen, Cuihong Wen, Jieci Wang

“…This paper introduces the Branch Correction Denoising Diffusion Model (BCDDM), a deep learning framework that synthesizes black hole images directly from physical parameters. …”
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Kernel Conversion Improves the Correlation between the Extent of Emphysema and Clinical Parameters in Chronic Obstructive Pulmonary Disease: A Multicenter Cohort Study by Tai Joon An, Youlim Kim, Hyun Lee, Hyeon-Kyoung Koo, Naoya Tanabe, Kum Ju Chae, Kwang Ha Yoo

“…Emphysema extent was quantified using the percentage of low-attenuation areas (%LAA-950) determined by a deep learning-based program. The correlation between %LAA-950 and clinical parameters, including lung function tests, the modified Medical Research Council (mMRC), 6-minute walking distance (6MWD), COPD assessment test (CAT), and the St. …”
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Leveraging physics-informed neural networks for efficient modelling of coastal ecosystems dynamics: A case study of Sundarbans mangrove forest by Majdi Fanous, Jonathan M. Eden, Juntao Yang, Simon See, Vasile Palade, Alireza Daneshkhah

“…The proposed hybrid PINN model incorporates shallow water flow and sediment transport equations into the loss function and uses a temporal causality weighting mechanism to improve convergence in time-dependent domains. …”
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Pedagogical support for professional self-determination of high school students in IT professions by E. K. Khenner

“…To implement such a module, in addition to traditional forms of education, distance and network learning can be used, including with the involvement of university teachers and employees of leading IT companies.Scientific novelty. …”
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RDRM-YOLO: A High-Accuracy and Lightweight Rice Disease Detection Model for Complex Field Environments Based on Improved YOLOv5 by Pan Li, Jitao Zhou, Huihui Sun, Jian Zeng

“…Efficient disease detection in complex field environments remains a persistent challenge for sustainable agriculture. Existing deep learning-based methods for rice leaf disease detection struggle with inadequate sensitivity to subtle disease features, high computational complexity, and degraded accuracy under complex field conditions, such as background interference and fine-grained disease variations. …”
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A method for detecting the rate of tobacco leaf loosening in tobacco leaf sorting scenarios by Yansong Wang, Yansong Wang, Chunjie Zhang, Chunjie Zhang, Mingjie Wu, Mingjie Wu, Ruilin Luo, Lin Lu, Zaiqing Chen, Zaiqing Chen, Lijun Yun, Lijun Yun

“…Additionally, a loss function with a monotonic focusing mechanism was introduced to increase the model’s learning capacity for difficult samples, resulting in a YOLO-TobaccoStem model more suitable for detecting tobacco stem objects. …”
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