First aid for generalized seizures: modern approaches and opportunities for improvement by А. А. Birkun, L. I. Dezhurny

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An Enhanced Distribution System Performance with Optimization Techniques for Location of Electrical Vehicle Charging Stations by Sainadh Singh Kshatri, Venkata Anjani Kumar G, Chilakapati Lenin Babu, Palepu Suresh Babu

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Numercial modeling for enhanced heat transfer efficiency of spiral coils with supercritical fluid flow under different operating conditions by Xinling Wang, Naeim Farouk, Xiaoqing Fu, Pradeep Kumar Singh, Guo Xu, Fahad M. Alhomayani, Baseem Khan, Fawaz S. Alharbi, Barno Sayfutdinovna Abdullaeva, Laith H. Alzubaidi, Yasser Elmasry, Hakim A.L. Garalleh

“…Elevated operational pressure results in a reduction of the maximum HTC. The augmentation of mass flux results in an increase in heat transfer coefficient, thereby indicating an improvement in system efficiency. …”
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Thermal behavior of magnetized blood–CMS hybrid nanofluid with SWCNT and MWCNT suspensions: Prabhakar fractional model by Urwa Shehbaz, Sami Ullah Khan, Aboulbaba Eladeb, Nermeen Abdullah, Chemseddine Maatki, Lioua Kolsi

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Using data science to diagnose and characterize heterogeneity of Alzheimer's disease by Ting F.A. Ang, Ning An, Huitong Ding, Sherral Devine, Sanford H. Auerbach, Joseph Massaro, Prajakta Joshi, Xue Liu, Yulin Liu, Elizabeth Mahon, Rhoda Au, Honghuang Lin

“…Abstract Introduction Despite the availability of age‐ and education‐adjusted standardized scores for most neuropsychological tests, there is a lack of objective rules in how to interpret multiple concurrent neuropsychological test scores that characterize the heterogeneity of Alzheimer's disease. …”
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ggClusterNet 2: An R package for microbial co‐occurrence networks and associated indicator correlation patterns by Tao Wen, Yong‐Xin Liu, Lanlan Liu, Guoqing Niu, Zhexu Ding, Xinyang Teng, Jie Ma, Ying Liu, Shengdie Yang, Penghao Xie, Tianjiao Zhang, Lei Wang, Zhanyuan Lu, Qirong Shen, Jun Yuan

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Leveraging a disulfidptosis-based signature to characterize heterogeneity and optimize treatment in multiple myeloma by Bingxin Zhang, Dong Zheng, Shuxia Zhu, Xinyi Zhang, Quanqiang Wang, Zhili Lin, Ziwei Zheng, Shujuan Zhou, Zixing Chen, Sisi Zheng, Enqing Lan, Luning Cui, Hansen Ying, Yu Zhang, Xuanru Lin, Qiang Zhuang, Honglan Qian, Xudong Hu, Yan Zhuang, Qianying Zhang, Zhouxiang Jin, Songfu Jiang, Yongyong Ma, Yongyong Ma, Yongyong Ma

“…Then 27 drugs targeting the high-risk group were predicted. Based on the DRGs and risk genes, we constructed the miRNA and TF regulatory networks. …”
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Generating synthetic images for construction machinery data augmentation utilizing context-aware object placement by Yujie Lu, Bo Liu, Wei Wei, Bo Xiao, Zhangding Liu, Wensheng Li

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Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study by Katerina Lawrie, Petr Waldauf, Peter Balaz, Radoslav Bortel, Ricardo Lacerda, Emma Aitken, Krzysztof Letachowicz, Mario D’Oria, Vittorio Di Maso, Pavel Stasko, Antonio Gomes, Joana Fontainhas, Matej Pekar, Alena Srdelic, VAVASC Study Group, Stephen O’Neill

“…Demographics, risk factors, vessels parameters, types of predicted and created VA (pVA, cVA) were collected. …”
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Mapping the global risk of chikungunya virus endemicity and autochthonous transmission following importation by Yu-Feng Yang, Yun-Bo Qiu, Qiang Xu, Rui-Cheng Gao, Tian Tang, Yao Tian, Yan-He Wang, Sheng-Hong Lin, Yun-Dong Shi, Long-Tao Chen, Yan Zhang, Jun Ma, Chen-Long Lv, Guo-Lin Wang, Hai-Feng Pan, Wei Liu, Li-Qun Fang

“…Three machine learning algorithms were utilized to analyze the ecological factors associated with CHIKV occurrences in regions characterized by endemic or autochthonous transmission following importation. …”
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A Finite-Time Disturbance Observer-Based Control for Constrained Second-Order Dynamical Systems and Its Application to the Attitude Tracking of a UAV by Nguyen Xuan Mung, Nguyen Huu Tiep, Loan Thi Kim Au, Nguyen Ngoc Anh, Xuan Nguyen, Nguyen Phi

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Unmanned aerial vehicle hierarchical detection of leaf blast in rice crops based on a specific spectral vegetation index by Guangming LI, Dongxue ZHAO, Jinpeng LI, Shuai FENG, Chunling CHEN

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Mental Fatigue Has Great Impact on the Fractal Dimension of Brain Functional Network by Gang Li, Yanting Xu, Yonghua Jiang, Weidong Jiao, Wanxiu Xu, Jianhua Zhang

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Gesture Decoding Using ECoG Signals from Human Sensorimotor Cortex: A Pilot Study by Yue Li, Shaomin Zhang, Yile Jin, Bangyu Cai, Marco Controzzi, Junming Zhu, Jianmin Zhang, Xiaoxiang Zheng

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Diagnosis and Treatment of Giant Intrathoracic Tumors by V. D. Parshin, I. M. Koroleva, A. V. Parshin, M. A. Mischenko, V. V. Parshin, A. V. Ponasenko

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Fast Analysis of Multi-Layered Anisotropic Electromagnetic Propagation Based on Z-Transform Finite-Difference Time-Domain Method with Scale-Compressed Technique by Yuxian Zhang, Yilin Kang, Xiaoli Feng, Lixia Yang, Zhixiang Huang

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Stereo vision based broccoli recognition and attitude estimation method for field harvesting by Zhenni He, Fahui Yuan, Yansuo Zhou, Bingbo Cui, Yong He, Yufei Liu

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Removal of LiDAR Negative Outliers Based on Retroreflective Surface by Haolong Gao, Shaobo Li, Zhouyi Kang, Fan Zhang, Yi Zhang, Yunlong Wu

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Digital anti-aliasing trapezoidal recursively separable image processing filter with resizable scanning multi-element aperture by A. V. Kamenskiy, K. A. Rylov, N. Borodina

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A biomass-driven polygeneration system for electricity, cooling, and desalinated water: Exergoeconomic analysis and multi-objective optimization by Ehsanolah Assareh, Aminhossein Jahanbin, Seyed Mohammad Salehan, Ehsan Darouneh, Umberto Berardi

“…A bi-level multi-objective optimization framework, combining a statistical optimization model with a genetic algorithm (GA), is applied to maximize exergy efficiency while simultaneously minimizing the cost rate and CO2 emissions. …”
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