Clinical and neurophysiological predictors of the functional outcome in right-hemisphere stroke by Francesco Di Gregorio, Giada Lullini, Silvia Orlandi, Valeria Petrone, Enrico Ferrucci, Emanuela Casanova, Vincenzo Romei, Fabio La Porta

“…At enrolment, all participants were assessed for motor and cognitive functioning with specific scales (motricity index, trunk control test, Level of Cognitive Functioning, and Functional Independence Measure (FIM). …”
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HEALTH METHODOLOGY FOR REDUCING ANXIETY AND SUPPORTING THE FUNCTIONAL HEALTH OF CHILDREN by Shuba Liudmyla, Shuba Victoria, Shuba Victor

“…The data of the Ruffier’s functional test in the control group became lower (position average 55.62% and below average 44.38% level for the assessment of physical performance (p<0.05) under the influence of distance learning, because it led to a sedentary lifestyle. …”
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Newly synthesized 1-butyl-3-methylimidazolium p-toluenesulfonate ionic liquid for acid corrosion of API 5L X70 steel: Experimental, DFT/MD-simulation, statistical and machine learn... by Daniel Iheanacho Udunwa, Okechukwu Dominic Onukwuli, Simeon Chukwudozie Nwanonenyi, Callistus Nonso Ude, Innocent Okechi Arukalam, Remy Uche

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Tuning antibody stability and function by rational designs of framework mutations by Joseph C. F. Ng, Alicia Chenoweth, Maria Laura De Sciscio, Melanie Grandits, Anthony Cheung, Tooki Chu, Alexandra McCraw, Jitesh Chauhan, Yi Liu, Dongjun Guo, Semil Patel, Alice Kosmider, Daniela Iancu, Sophia N. Karagiannis, Franca Fraternali

“…Artificial intelligence and machine learning models have been developed to engineer antibodies for specific recognition of antigens. …”
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Drone Navigation and Target Interception Using Deep Reinforcement Learning: A Cascade Reward Approach by Ali A. Darwish, Arie Nakhmani

Subjects: “…Cascading reward function…”
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Cognitive Function in Patients Undergoing Arthroplasty: The Implications for Informed Consent by N. Demosthenous, J. P. St Mart, P. Jenkins, A. Chappel, Kenneth Cheng

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Research on Functional Components and Bioactivity in Tea in the Context of Big Data by Jinwu He, Weiwei Fan

“…With the rapid development of Internet technology and economic aspects, the traditional methods of functional tea research can no longer meet the growing demand, and it is necessary to change the concept to learn the latest biological activity research methods. …”
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Functional complementarity relationship enhanced cloud API recommendation method by Zhen CHEN, Wenhui CHEN, Xiaowei LIU, Dianlong YOU, Linlin LIU, Limin SHEN

“…Current cloud application program interface (API) recommendation methods mainly use similarity calculation or historical calls of Mashup to generate recommendation results, while ignoring the beneficial functional complementarity (FC) between Mashup and cloud API.To address the above issue, a FC relationship enhanced cloud API recommendation approach was proposed.Firstly, label co-occurrence was applied to describe the FC relationship.Then, the FC score was calculated to describe the degree of FC between the cloud API and the Mashup, and the FC vector was learned to describe the potential FC relationship.Based on this, FC scores and FC vectors were embedded into the cloud API recommendation model, so that FC relationship played a key role in the cloud API recommendation process.Experiments were conducted on real-world cloud API datasets, and the AUC, F1 and HR@5 of the proposed approach improved by an average of 2.32%, 1.86% and 9.15%, respectively, in the sparse scenario.Finally, the proposed approach can improve the accuracy of cloud API recommendation results, while improving the recommendation performance of long-tail cloud API.…”
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Chromosome-segment scanning for gain- or loss-of-function screening (CHASING) by Yan Xia, Lichao Sun, Zeyu Liang, Zhongrao Han, Jing Li, Pengyu Dong, Yi-Xin Huo, Shuyuan Guo

“…Summary: Identifying beneficial or functional mutations for a specific species is a task always relies on the labor-intensive construction of a library containing thousands of single-gene knockout or interference strains. …”
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Functions of Social and Cultural Activities of Culture Institutions as Social Centers by M. S. Yakushkina

“…The results of the analysis of functions of social and cultural activities of culture institutions as social centers are presented. …”
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Head-Related Transfer Function Selection Using Neural Networks by Shu-Nung YAO, Tim COLLINS, Chaoyun LIANG

“…In binaural audio systems, for an optimal virtual acoustic space a set of head-related transfer functions (HRTFs) should be used that closely matches the listener’s ones. …”
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Pre-service mathematics teachers’ nature of understanding of the tangent function by Priestly Malambo

“…Mathematics teachers’ ability to translate and make connections between representations of functions requires investigation. Consequently, this qualitative case study article focuses on pre-service mathematics teachers’ nature of understanding of the tangent function; a function bearing unique characteristics compared with the sine and cosine functions. …”
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Optimizing Access Point Placement in Industrial IoT: A Deep Reinforcement Learning Approach With Q-Learning Verification and Signal Heatmap Visualization by Manash Mahanta, Attaphongse Taparugssanagorn, Kenta Umebayashi

“…These performance metrics are used to tailor the reward function used in DRL and Q-learning. The results obtained are reasonable, with an increase in average RSS by 3.55% and a decrease in average interference by 5.73% in one instance, and a 4.59% increase in signal coverage in another instance, compared to the results obtained using circle packing. …”
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A multi-task deep reinforcement learning framework based on curriculum learning and policy distillation for quadruped robot motor skill training by Liang Chen, Bo Shen, Jiale Hong

“…The main novelties of the framework lie in the self-optimizing terrain curriculum learning strategy and the improved distillation loss function. …”
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Risk management system and intelligent decision-making for prefabricated building project under deep learning modified teaching-learning-based optimization. by Huazan Liu, Yukang He, Qichao Hu, Jianfei Guo, Lan Luo

“…First, we introduced the BP neural network algorithm based on deep learning. Second, the traditional Teaching-Learning-Based Optimization (TLBO) algorithm was modified by using information entropy, and the modified algorithm was simulated and tested in five test functions. …”
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A TD3-Based Reinforcement Learning Algorithm With Curriculum Learning for Adaptive Yaw Control in All-Wheel-Drive Electric Vehicles by Reza Jafari, Pouria Sarhadi, Amin Paykani, Shady S. Refaat, Pedram Asef

“…To improve adaptability and ability to handle nonlinearities via continuous learning, the proposed algorithm is built upon a twin delayed deep deterministic policy gradient (TD3) reinforcement learning (RL) algorithm for the optimal torque distribution across four wheels of the vehicle. …”
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Implementation strategies: lessons learned during an e-learning intervention to improve dietary behaviors and feeding practices in early childhood education and care by Henrik Lian, Nina Cecilie Øverby, Frøydis Nordgård Vik, Anine Christine Medin, Natalie Garzon Osorio, Christine Helle, Tormod Bjørkkjær, Penelope Love, Harry Rutter, Mary Elizabeth Barker, Elisabet Rudjord Hillesund, Sissel Heidi Helland

“…Central to the project is the implementation of an e-learning resource aimed at promoting feeding practices among staff and healthy dietary behaviours for children aged 0–3 years in ECEC. …”
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The Evaluation Model of College English Diagnostic Exercises Based on Machine Learning by Qi Wang, Hao Wu

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UAV Mission Path Planning Based on Reinforcement Learning in Dynamic Environment by Gui Fu, Yang Gao, Liwen Liu, Mingye Yang, Xinyu Zhu

“…Based on the above situation, this paper studies the task and path planning of UAV based on reinforcement learning in dynamic environment. In the case of unpredictable scene parameters, reinforcement learning method can be established by value function. …”
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Large Sample Behavior of the Least Trimmed Squares Estimator by Yijun Zuo

“…The primary properties of the objective function facilitate the establishment of other original results, including the influence function and Fisher consistency. …”
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