M-elite coevolutionary kinetic-molecular theory optimization algorithm by Chao-dong FAN, Jing ZHANG, Ling-zhi YI

“…M-elite coevolutionary kinetic-molecular theory optimization algorithm (MECKMTOA) was proposed.MECKMTOA uses M elites to avoid misleading,improves the convergence precision by learning and collaboration among the elites,employs a new wave operator to prevent premature by dimension.The results show that MECKMTOA has good performance in precision and stability,and can solve the high-dimensional function optimization problems well.…”
Get full text

Vitamin C intake and cognitive function in older U.S. adults: nonlinear dose–response associations and effect modification by smoking status by Xingchen He, Yijia Lin, Xinyi Wu, Min Li, Tianyu Zhong, Yanhong Zhang, Yanhong Zhang, Xuliang Weng, Xuliang Weng

“…Total vitamin C intake was assessed via standardized 24-h dietary recalls and supplement questionnaires. Cognitive function was evaluated using the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) Word Learning Test, Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST). …”
Get full text

The Impact of Inorganic Nitrate-Rich Beetroot Juice on Microvascular Blood Flow, Cognitive Function, and Other Hemodynamic Outcomes in Postmenopausal Women by Begum Celik, Jeremy Spencer, Daniel Lamport, Noa Argomaniz, Charlotte Mills

“…Cognitive tasks (episodic memory: Rey auditory verbal learning test; executive function: Stroop task, digit span backward and forward) and microvascular function (Laser Doppler Imaging (LDI) with iontophoresis; endothelium-independent and -dependent) were measured in participants before and 2.5 h after ingestion of the intervention. …”
Get full text

Syn-MolOpt: a synthesis planning-driven molecular optimization method using data-derived functional reaction templates by Xiaodan Yin, Xiaorui Wang, Zhenxing Wu, Qin Li, Yu Kang, Yafeng Deng, Pei Luo, Huanxiang Liu, Guqin Shi, Zheng Wang, Xiaojun Yao, Chang-Yu Hsieh, Tingjun Hou

“…Based on these functional templates, we introduced Syn-MolOpt, a synthesis planning-oriented molecular optimization method. …”
Get full text

Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer by Song Zeng, Xin-Lu Wang, Hua Yang

Get full text

Autonomous obstacle avoidance of underground coal mine transport robots based on intrinsic motivation reinforcement learning algorithm by ZHAO Kebao, LI Lingfeng, CHEN Zhuo, HAN Jun, YIN Rui

“…By combining the reward weights of the intrinsic motivation orientation function and the external motivation reward function, it calculated a comprehensive reward value based on the robot's state before and after performing an action, forming the reward mechanism of the reinforcement learning algorithm. …”
Get full text

Reinforcement learning-based vehicle travel path reconstruction from sparse automatic licence plate recognition data by Qiuping Li, Hui Meng, Li Zhuo

“…To address this challenge, this study proposes a novel travel path reconstruction model based on reinforcement learning. First, the maximum entropy inverse reinforcement learning (MaxEnt IRL) method is employed to learn vehicle path selection strategy, i.e. the reward function, from the real data. …”
Get full text

Exploring the Trade-Off in the Variational Information Bottleneck for Regression with a Single Training Run by Sota Kudo, Naoaki Ono, Shigehiko Kanaya, Ming Huang

“…This study analyzes the Variational Information Bottleneck (VIB), a standard IB method in deep learning, in the settings of regression problems and derives its optimal solution. …”
Get full text

Artificial intelligence-assisted echocardiographic monitoring in pediatric patients on extracorporeal membrane oxygenation by Weiling Chen, Jinhui Wu, Zhenxuan Zhang, Zhifan Gao, Xunyi Chen, Yu Zhang, Zhou Lin, Zijian Tang, Wei Yu, Shumin Fan, Heye Zhang, Bei Xia

“…Artificial intelligence (AI) based machine learning-enabled image analysis might provide rapid, reproducible measurements of left ventricular volumes and EF for ECMO patients.ObjectivesThis study aims to evaluate the applicability of AI for monitoring cardiac function based on Echocardiography in patients with ECMO.Materials and methodsWe conducted a retrospective study involving 29 hospitalized patients who received ECMO support between January 2017 and December 2021. …”
Get full text

Application of artificial intelligence in modern healthcare for diagnosis of autism spectrum disorder by Abdullah H. Al-Nefaie, Abdullah H. Al-Nefaie, Theyazn H. H. Aldhyani, Theyazn H. H. Aldhyani, Sultan Ahmad, Eidah M. Alzahrani

“…The early diagnosis of ASD depends on identifying anomalies in facial function, which may be minimal or missing in the first stages of the disorder. …”
Get full text

Image super-resolution reconstruction based on multi-scale dual-attention by Hong-an Li, Diao Wang, Jing Zhang, Zhanli Li, Tian Ma

Get full text

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network by Yu Cai, Yefeng Yang, Tao Huang, Boyang Li

“…Furthermore, a novel reward function and a robust compensator employing a switch value function are proposed to address model uncertainties and external disturbances. …”
Get full text

DEVELOPMENT OF ISLAMIC-INTEGRATED CHEMISTRY TEACHING MATERIALS ON CELL AND BIOMOLECULE MATERIALS by Buchori Muslim, Nahadi Nahadi, Sjaeful Anwar, Heli Siti Halimatul Munawaroh, Neng Sri Nuraeni

“…Integration between science and Islam is still not maximally applied in Chemistry Education UIN Syarif Hidayatullah Jakarta. This is because learning facilities regarding Islam and science are still lacking. …”
Get full text

Review on atomistic and quantum mechanical simulation approaches in chemical mechanical planarization by Seokgyu Ryu, Murali Ramu, Patrick Joohyun Kim, Junghyun Choi, Kangchun Lee, Jihoon Seo

“…Significant progress has been achieved using Fukui function analysis for additive screening, density functional theory (DFT) for surface passivation mechanisms, and molecular dynamics (MD) simulations for CMP processes. …”
Get full text

CLSTM-MT (a Combination of 2-Conv CNN and BiLSTM Under the Mean Teacher Collaborative Learning Framework): Encryption Traffic Classification Based on CLSTM (a Combination of 2-Conv... by Xiaozong Qiu, Guohua Yan, Lihua Yin

“…Third, traditional deep learning models need large amounts of labeled data, which are expensive to acquire. …”
Get full text

Multi-dimensional feature extraction of EEG signal and its application in stroke classification by Teng Wang, Wenhui Jia, Fenglian Li, Xirui Liu, Xueying Zhang, Fengyun Hu

“…Abstract Feature extraction based on EEG signals and construction of classification models using machine learning methods are key to intelligent assisted diagnosis of brain diseases (such as stroke classification). …”
Get full text

Withstand control: standing posture differentially affects space-based and feature-based cognitive control through enhanced physiological arousal by Nuno Busch, Artyom Zinchenko, Martin Halle, Thomas Geyer

“…These insights may advance theoretical understanding and have practical implications: in increasingly sedentary societies, simple changes like standing could selectively enhance certain cognitive functions, improving effective work and learning environments.…”
Get full text

Sulfasalazine as a Corrosion Inhibitor on Carbon Steel Metal Surfaces in Acidic Media Using the Hydrogen Evolution Method: Experimental and Theoretical Studies by Hadi Thamer Obaid, Muthanna Mahmood Mutar, Safaa Hussein Ali

Get full text

Oculomotor-Related Measures Are Predictive of Reading Acquisition in First Grade Early Readers by Avi Portnoy, Sharon Gilaie-Dotan

“…Since this study is based on a small cohort and since there are studies suggesting that DEM may actually reflect visual processing speed or cognitive factors rather than oculomotor function, replications are needed to substantiate the direct contribution of oculomotor functions to reading acquisition. …”
Get full text

A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction by Lan Liu, Zhanfa Hui, Guiming Chen, Tingfeng Cai, Chiyu Zhou

“…Traditional methods, such as single-task learning and ensemble approaches, often struggle with these challenges, particularly in detecting rare but critical vulnerabilities. …”
Get full text