Continuous Wave-Diffuse Optical Tomography (CW-DOT) in Human Brain Mapping: A Review by Shuo Guan, Yuhang Li, Yuanyuan Gao, Yuxi Luo, Hubin Zhao, Dalin Yang, Rihui Li

“…Extensive clinical and neuroscience research has attested to the technique’s anatomical precision and reliability, establishing it as a potent instrument in research and clinical practice.…”
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Advancing soil mapping and management using geostatistics and integrated machine learning and remote sensing techniques: a synoptic review by Sunshine A. De Caires, Chaney St Martin, Melissa A. Atwell, Fuat Kaya, Glorious A. Wuddivira, Mark N. Wuddivira

“…Hybrid approaches combining geostatistics with ML algorithms (e.g., RF, Boost, SVM, ANN) demonstrate promise in addressing spatial uncertainty, while RS data enhances covariate enrichment and near-real-time applications. …”
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Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regression by Lv Yingming, Yuan Wenping

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Assessment of Teaching Quality of Traditional Decorative Patterns in Colleges and Universities Using an MCDM Approach and Circular Intuitionistic Information by Zi Wang, Liping Pan

“…To serve this purpose, we mainly proposed the Circular Intuitionistic Fuzzy Dombi Prioritized weighted averaging (C-IFDPWA) and Circular Intuitionistic Fuzzy Dombi Prioritized geometric (C-IFDPWG) operators. …”
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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

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A Novel Two-Stage Adaptive Filtering Model-Based GNSS/INS Tightly Coupled Precise Relative Navigation Algorithm for Autonomous Aerial Refueling by Ling Wu, Yongrong Sun, Xiyu Fu, Rui Xu

“…Autonomous aerial refueling (AAR) has generated great interest in recent years. However, much research has focused on the vision-based close docking stage; few studies have been conducted on the navigation algorithm for the rendezvous and following stages. …”
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Research and Application on Automatic Stratigraphic Sequence Division and Comparison Method Based on Integrated Prediction Error Filter Analysis by NING Weifeng, WANG Caizhi, JIANG Qingchun, LIU Yingming, WANG Hao, WEI Xingyun, LIN Yaoqiang

“…The source rocks of the Qingshankou formation are mainly distributed in the transgressive systems tract of SQ1, while the main shale sweet spot Q9 develops in the late transgressive stage of the third-order sequence SQ1, and it is located in the period of stable to slowly falling lake level in the fourth-order sequence SQ13. …”
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Study on the Evolutionary Characteristics of Spatial and Temporal Patterns and Decoupling Effect of Urban Carbon Emissions in the Yangtze River Delta Region Based on Neural Network... by Xichun Luo, Chaoming Cai, Honghao Zhao

“…To improve the performance of neural network models, the Aquila Optimizer (AO) algorithm is introduced to optimize the hyper-parameter values in the back-propagation (BP) neural network model in this research due to the appealing searching capability of AO over traditional algorithms. …”
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A High-Resolution Spotlight Imaging Algorithm via Modified Second-Order Space-Variant Wavefront Curvature Correction for MEO/HM-BiSAR by Hang Ren, Zheng Lu, Gaopeng Li, Yun Zhang, Xueying Yang, Yalin Guo, Long Li, Xin Qi, Qinglong Hua, Chang Ding, Huilin Mu, Yong Du

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Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Ali Fayez Alkoradees, Arpita, Aseel Smerat

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Development and validation of a prediction model for coronary heart disease risk in depressed patients aged 20 years and older using machine learning algorithms by Yicheng Wang, Yicheng Wang, Yicheng Wang, Chuan-Yang Wu, Hui-Xian Fu, Jian-Cheng Zhang, Jian-Cheng Zhang, Jian-Cheng Zhang

“…Several evaluation metrics were employed to assess and compare the performance of eight different machine learning models, aiming to identify the most effective algorithm for predicting coronary heart disease risk in individuals with depression. …”
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Research on the integrated "cloud-edge-end" intelligent and precise management and control technology system for coal mine disasters by LIU Yubing, LI Yiteng, LI Zhonghui, YIN Shan, JING Chao, LI Kai, LI Zhenxing, ZHAO Shenglei, LIU Chengfei

“…Constructing an intelligent and precise disaster management system for coal mines helps improve the accuracy of accident prediction and early warning, enabling intelligent risk assessment. Existing research mainly focuses on monitoring and early warning technologies or algorithm optimization for individual disasters, lacking a coordinated mechanism for multi-disaster monitoring and early warning, as well as disaster avoidance path planning under emergency response. …”
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Research on Site Selection and Capacity Determination of Electric Vehicle Public Charging Stations by Integrating K-Means++ and Improved RODDPSO by B. Huang, Z. Wang, J. Chen, B. Zhou, Y. Zhu, Y. Liu

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Analysis of the effectiveness and efficiency of the    Indonesian metastatic bone disease of unknown origin algorithm (INA-MBD): time to diagnosis and cost to diagnosis : Quasi-exp... by Moh Asri Abidin, Muhammad Phetrus Johan, Dibyo Pramono, Irianiwati Widodo, Teguh Aryandono, Yuni Artha Prabowo Putro, Rahadyan Magetsari, Paramita Ayu Saraswati, A Faiz Huwaidi, Ardanariswara Wikantyasa

“…Purpose This study aimed to enhance the effectiveness and efficiency of treating patients with MBD of unknown origin through the application of the INA-MBD algorithm. Research method A quasi-experimental study with a pretest and post-test design was conducted with a total of 128 patients who met the inclusion and exclusion criteria. …”
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EVALUATION OF THE EFFECTIVENESS OF A NONSTEROIDAL ANTI-INFLAMMATORY DRUG (NSAID) SELECTION ALGORITHM BASED ON THE ANALYSIS OF RISK FACTORS FOR DRUG-INDUCED COMPLICATIONS IN REAL CL... by A. E. Karateev, A. M. Lila, M. V. Churyukanov, K. V. Skorobogatykh, A. V. Amelin, D. V. Zakharov, E. A. Trofimov, V. A. Shirokov, T. V. Popova, E. A. Shestel, Z. A. Goncharova, A. I. Kulikov, O. B. Nesmeyanova, M. V. Galikhanova

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Trade-off between cost and performance of earth observation data in olive trees health assessment: Digital crop mapping approach using machine learning algorithms by Yassine Bouslihim, Abdelkrim Bouasria, Aicha Rochdi, El Bachir El Haissen, Dénes Loczy, Zoltan Orban, Ali Salem

“…While UAV data provided the highest spatial detail, capturing fine-scale health variations, it came at a significantly higher cost. …”
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Leveraging Text Mining Techniques for Civil Aviation Service Improvement: Research on Key Topics and Association Rules of Passenger Complaints by Huali Cai, Tao Dong, Pengpeng Zhou, Duo Li, Hongtao Li

“…By comparing the Apriori algorithm with the FP-growth algorithm, the results of mining the support, confidence and promotion of the association rules show that the Apriori algorithm is more efficient. …”
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GeoBM: A Python-based tool for integrated visualization of global bibliometric data by Chun Chong Fu, Jorge Fleta-Asín, Fernando Muñoz, Carlos Sáenz-Royo, Loo Keat Wei

“…By providing a dual-focus representation of publication density and collaborative strength, GeoBM offers a powerful tool for the spatial analysis of global research networks, contributing to more nuanced evaluations in science policy, research management, and innovation studies.…”
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Integrative multiomics analysis reveals the subtypes and key mechanisms of platinum resistance in gastric cancer: identification of KLF9 as a promising therapeutic target by Pengcheng Zhang, Lexin Wang, Haonan Lin, Yihui Han, Jingfang Zhou, Hang Song, Peng Wang, Huanhuan Tan, Yajuan Fu

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Diagnostic criteria for spinal muscular atrophy 5q by I. V. Sharkova, E. L. Dadali, S. S. Nikitin

“…The variety of phenotypic manifestations of spinal muscular atrophy 5q (5qCMA) is the reason for the difficulty in diagnosing and delaying the diagnosis, which is of particular importance today due to the emergence of new etiopathogenetic therapeutic possibilities.Objective: determination of the main clinical features and symptoms of 5qCMA with onset at different age periods, and the development of an algorithm that can help in making decisions regarding the need for testing the SMN1 gene by primary care and hospital doctors.Materials and methods. …”
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