IMPLEMENTATION OF GEOGEBRA COURSEWARE IN TEACHING THE CONCEPT OF MATHEMATICAL FUNCTION by Y. V. Gromova, I. S. Safuanov

Subjects: “…function…”
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A temporally restricted function of the dopamine receptor Dop1R2 during memory formation by Jenifer C Kaldun, Emanuele Calia, Ganesh Chinmai Bangalore Mukunda, Cornelia Fritsch, Nikita Komarov, Simon G Sprecher

“…While the diverse functions of dopamine are intensely studied, the interplay and role of the distinct dopamine receptors to regulate different processes is less well understood. …”
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Abnormal lipid metabolism and atherosclerosis: a new perspective on organelle function regulation and ferroptosis by Xize Wu, Yuxi Huang, Jiaqi Ren, Xue Pan, Qiuying Wu, Qicheng Cai, Ruiying Wang, Teng Feng, Shan Gao, Bo Wang, Meijia Cheng, Meijia Cheng, Yue Li, Lihong Gong

“…WGCNA was performed to uncover module Hub genes. Multiple machine learning models (LASSO, SVM-RFE, RF) were applied to screen Hub genes. …”
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High accuracy inverse design of reconfigurable metasurfaces with transmission-reflection-integrated achromatic functionalities by Jiang Xiao-Qiang, Fan Wen-Hui, Chen Xu, Zhao Lv-Rong, Qin Chong, Yan Hui, Wu Qi, Ju Pei

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Prediction of Traffic Volume Based on Deep Learning Model for AADT Correction by Dae Cheol Han

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Application of machine learning models in predictive maintenance of Francis hydraulic turbines by Júlio César Silva de Souza, Oswaldo Honorato Júnior, Geraldo Lúcio Tiago Filho, Otávio Augusto Salgado Carpinteiro, Hailton Silveira Domingues Biancardine Júnior, Ivan Felipe Silva dos Santos

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A Linguistic Features-Based Approach for the Functional Analysis of Disinformation in Spanish by Eduardo Puraivan, Fabian Riquelme, Rene Venegas

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Designing Predictive Tools for Personalized Functionalities in Knitted Performance Wear by Martijn ten Bhömer, Hai-Ning Liang, Difeng Yu, Yuanjin Liu, Yifan Zhang, Eva de Laat, Carola Leegwater

“…Moreover, advanced knitting technology in combination with new materials enables the integration of localized functionalities within a garment on a “stitch by stitch level.” …”
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Longitudinal relations of executive functions to academic achievement and wellbeing in adolescence by M. Jennifer Kitil, Adele Diamond, Martin Guhn, Kimberly A. Schonert-Reichl

Subjects: “…executive functions…”
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Automatic Assist Level Adjustment Function of a Gait Exercise Rehabilitation Robot with Functional Electrical Stimulation for Spinal Cord Injury: Insights from Clinical Trials by Ryota Kimura, Takahiro Sato, Yuji Kasukawa, Daisuke Kudo, Takehiro Iwami, Naohisa Miyakoshi

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Time Series Anomaly Detection Using Signal Processing and Deep Learning by Jana Backhus, Aniruddha Rajendra Rao, Chandrasekar Venkatraman, Chetan Gupta

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Stroke machine learning for discharge planning: A pilot implementation study by S. Bacchi, R. Goh, J. Kovoor, S. Gluck, L. Oakden-Rayner, S. Koblar, T. Kleinig, J. Jannes

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Proposing a Novel Method for Optimal Location Finding Based on Machine Learning Algorithms and Gray Wolf Optimization by Fatemeh Heydari Pirbasti, Mahmoud Modiri, Kiamars Fathi-Hafshejani, Alireza Rashidi-Komijan

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Deciphering the proteome of Escherichia coli K-12: Integrating transcriptomics and machine learning to annotate hypothetical proteins by Sagarika Chakraborty, Zachary Ardern, Habibu Aliyu, Anne-Kristin Kaster

“…Here, we employed machine learning to decipher the transcriptional regulatory network of E. coli K-12, as well as other in silico tools to assign functions to uncharacterized HPs. …”
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An efficient machine learning-enhanced DTCO framework for low-power and high-performance circuit design by Mingyang Liu, Zhengguang Tang, Hailong You, Cong Li, Guangxin Guo, Zeyuan Wang, Linying Zhang, Xingming Liu, Yu Wang, Yong Dai, Geng Bai, Xiaoling Lin

Subjects: “…Machine learning…”
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Acoustic Source Localization Using Kernel-based Extreme Learning Machine in Distributed Microphone Array by Rong WANG, Zhe CHEN, Fuliang YIN

Subjects: “…extreme learning machine…”
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A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance by Jalil Toosifar, Yahya Forghani, Seyyed Abed Hosseini, Nasser Shoeibi

“…Additionally, a regularized loss function is introduced to enhance diversity at different levels of the network, leading to improved generalization. …”
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Regularized regression outperforms trees for predicting cognitive function in the Health and Retirement Study by Kyle Masato Ishikawa, Deborah Taira, Joseph Keaweʻaimoku Kaholokula, Matthew Uechi, James Davis, Eunjung Lim

Subjects: “…Machine learning…”
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A multimodal functional structure-based graph neural network for fatigue detection by Dongrui Gao, Zhihong Zhou, Zongyao Peng, Haokai Zhang, Shihong Liu, Manqing Wang, Hongli Chang

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Crude Drugs for Clearing Heat Contain Compounds Exhibiting Anti-Inflammatory Effects in Interleukin-1β-Treated Rat Hepatocytes by Airi Fujii, Saki Onishi, Nodoka Watanabe, Mizuki Kajimura, Kentaro Ito, Keita Minamisaka, Yuto Nishidono, Saki Shirako, Yukinobu Ikeya, Mikio Nishizawa

“…., Kampo medicines, consist of crude drugs (mostly plants) that have empirical pharmacological functions (‘<i>Yakuno</i>’ in Japanese), such as clearing heat. …”
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