Machine Learning Models to Predict Individual Cognitive Load in Collaborative Learning: Combining fNIRS and Eye-Tracking Data by Wenli Chen, Zirou Lin, Lishan Zheng, Mei-Yee Mavis Ho, Farhan Ali, Wei Peng Teo

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Looking ahead to severe accident research by Herranz Luis E., Poubeau Bastien, Chailan Lionel, Mascari Fulvio

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A conserved terpene cyclase gene in Sanghuangporus for abscisic acid-related sesquiterpenoid biosynthesis by Yoonhee Cho, Chang Wan Seo, Hyeonjae Cho, Yeongwoon Jin, Abel Severin Lupala, Sang Hee Shim, Young Woon Lim

“…However, despite their recognized medicinal potential, the biosynthetic pathways and specific enzymes responsible for sesquiterpenoid production in Sanghuangporus remain unexplored, limiting opportunities to optimize their medicinal applications. Results Sesquiterpenoids from four Sanghuangporus species were extracted through targeted isolation using mass spectrometry (MS)-based metabolomics, resulting in the discovery of six known abscisic acid-related compounds and one new compound, whose structure was determined through spectroscopic and computational analysis. …”
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In-silico 3D molecular editing through physics-informed and preference-aligned generative foundation models by Xiaohan Lin, Yijie Xia, Yanheng Li, Yu-Peng Huang, Shuo Liu, Jun Zhang, Yi Qin Gao

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Permea-Design: An Innovative Tool for Generating Triply Periodic Minimal Surface Scaffolds with Tailored Permeability by Matthew Bedding-Tyrrell, Bjornar Sandnes, Perumal Nithiarasu, Feihu Zhao

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Coordinated Scheduling for Zero-Wait RGV/ASR Warehousing Systems with Finite Buffers by Wenbin Gu, Na Tang, Lei Wang, Zhenyang Guo, Yushang Cao, Minghai Yuan

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Fitness exercise evaluation system based on improved DTW algorithm by Tinghang Guo, Qianhan Yin, Xinlin Liu, Yue Sun, Zhuanping Qin, Yu Han, Guangda Lu

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Expert Consensus on Neuromodulation Application of Transcranial Focused Ultrasound in Pain Management by Brain Computer Interface and Rehabilitation Committee of Chinese Rehabilitation Medical Association

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Developing a novel layer network structure for a LSTM model to predict mean monthly river streamflow by Amin Gharehbaghi, Redvan Ghasemlounia, Shahaboddin Daneshvar, Farshad Ahmadi

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Designing for Neonates’ Wellness: Differences in the Reverberation Time Between an Incubator Located in an Open Unit and in a Private Room of a NICU by Virginia Puyana-Romero, Daniel Nuñez-Solano, Ricardo Hernández-Molina, Francisco Fernández-Zacarías, Juan Jimenez, Giuseppe Ciaburro

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Impact of Parameters and Tree Stand Features on Accuracy of Watershed-Based Individual Tree Crown Detection Method Using ALS Data in Coniferous Forests from North-Eastern Poland by Marcin Kozniewski, Łukasz Kolendo, Szymon Chmur, Marek Ksepko

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Machine-Learning-Powered Information Systems: A Systematic Literature Review for Developing Multi-Objective Healthcare Management by Maryam Bagheri, Mohsen Bagheritabar, Sohila Alizadeh, Mohammad (Sam) Salemizadeh Parizi, Parisa Matoufinia, Yang Luo

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Investigating the impact of adoption of smart healthcare technologies on quality of patient care using two-staged SEM-ANN approach by S. A. Rajashekhar, Kamal Sharma, Manoj Kumar Trivedi, Miguel Villagómez Galindo, Kalpana Singh, Ana Beatriz Martínez Valencia

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Causal Physics-Infused Hybrid Learning (CPIHL) Framework for Next-Gen Battery Health Forecasting by Sahar Qaadan, Aiman Alshare, Rami Alazrai, Alexander Popp, Benedikt Schmuelling

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Biosecurity Versus African Swine Fever—Making, Acceptance, and Results of a German Online Assessment Tool by Nicolai Denzin, Nora Wieneke, Maria Gellermann, Carola Sauter-Louis, Barbara Grabkowsky

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A Spatial and Semantic Alignment Fusion Network for SeaLand Port Segmentation by Bo Zhang, Yaxiong Chen, Weichong Dang, Shengwu Xiong, Xiaoqiang Lu

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In-silico evaluation of putative maternal semiochemicals of pigs with receptor proteins by Devaraj Sankarganesh, Ambritha Balasundaram, Hayavadhan Sampath, Diya Manjunath, George Priya Doss C.

“…The binding energies for the docked complexes ranged between −3.4 and −6.7 kcal/mol. Through analysis of the lowest root mean square deviation (RMSD) and hydrogen bond formations, we identified that at least one of the fatty acids exhibited optimal docking with four distinct proteins. …”
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Explainable Machine Learning Models for Colorectal Cancer Prediction Using Clinical Laboratory Data by Rui Li MS, Xiaoyan Hao MS, Yanjun Diao MD, Liu Yang MS, Jiayun Liu MD

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Location privacy protection method based on lightweight K-anonymity incremental nearest neighbor algorithm by Saite CHEN, Weihai LI, Yuanzhi YAO, Nenghai YU

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Current application, possibilities, and challenges of artificial intelligence in the management of rheumatoid arthritis, axial spondyloarthritis, and psoriatic arthritis by Emre Bilgin

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