Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique by Karim Gasmi, Najib Ben Aoun, Najib Ben Aoun, Khalaf Alsalem, Ibtihel Ben Ltaifa, Ibrahim Alrashdi, Lassaad Ben Ammar, Manel Mrabet, Abdulaziz Shehab

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Serum metabolic fingerprints encode functional biomarkers for ovarian cancer diagnosis: a large-scale cohort studyResearch in context by Wanshan Liu, Xiaoxiao Hu, Zhouzhou Bao, Yanyan Li, Juxiang Zhang, Shouzhi Yang, Yida Huang, Ruimin Wang, Jiao Wu, Xiaoyu Xu, Qi Sang, Wen Di, Huaiwu Lu, Xia Yin, Kun Qian

“…Funding: MOST (2021YFA0910100), NSFC (82421001, 823B2050, 824B2059, and 82173077), Medical-Engineering Joint Funds of Shanghai Jiao Tong University (YG2021GD02, YG2024ZD07, and YG2023ZD08), Shanghai Science and Technology Committee Project (23JC1403000), Shanghai Institutions of Higher Learning (2021-01-07-00-02-E00083), Shanghai Jiao Tong University Inner Mongolia Research Institute (2022XYJG0001-01-16), Sichuan Provincial Department of Science and Technology (2024YFHZ0176), Innovation Research Plan by the Shanghai Municipal Education Commission (ZXWF082101), Innovative Research Team of High-Level Local Universities in Shanghai (SHSMU-ZDCX20210700), Basic-Clinical Collaborative Innovation Project from Shanghai Immune Therapy Institute, Guangdong Basic and Applied Basic Research Foundation (2024A1515013255).…”
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Harmonic and Interharmonic Measurement Method Using Two-Fold Compound Convolution Windows and Zoom Fast Fourier Transform by Xiangui Xiao, Lei Zhao, Shengjun Zhou, Haijun Liu, Zhong Fu, Dan Hu

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Optimizing Image Watermarking with Dual-Tree Complex Wavelet Transform and Particle Swarm Intelligence for Secure and High-Quality Protection by Abed Al Raoof Bsoul, Alaa Bani Ismail

“…In this research, we propose an optimized image watermarking approach that utilizes the dual-tree complex wavelet transform and particle swarm optimization algorithm. …”
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Development of an algorithm to improve on the National Early Warning Score 2 (NEWS2) system's accuracy in predicting critical outcomes using additional patient data and amendments... by Lynsey Threlfall, Chris Plummer, Edward Meinert, Cen Cong, Madison Milne-Ives

“…People who had opted out of the use of their de-identified data for research either locally or nationally, children (age <16 years old) and maternity admissions were excluded (Fig 1).A scoping review of six databases (CINAHL, PubMed, Embase, ScienceDirect, Cochrane Library and Web of Science) was conducted9 to determine which variables may improve the risk prediction of NEWS2. …”
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Risk Factors and Prediction Model for Postoperative Pneumonia Following Hip Arthroplasty in Older Adults by Xiang B, Zhang J, Deng C, Yang H, Qian L, Zhang W

“…Bingbing Xiang,1 Jingyuan Zhang,2 Chaoyi Deng,1 Han Yang,1 Liu Qian,1 Wensheng Zhang1,3 1Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, 610041, People’s Republic of China; 2Department of Anesthesiology, The Second Affiliated Hospital of Kunming Medical University, Kunming, 650000, People’s Republic of China; 3Laboratory of Anesthesia and Critical Care Medicine, National-Local Joint Engineering Research Centre of Translational Medicine of Anesthesiology, West China Hospital, Sichuan University, Chengdu, 610041, People’s Republic of ChinaCorrespondence: Wensheng Zhang, Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, 610041, People’s Republic of China, Email zhang_ws@scu.edu.cnBackground: Postoperative pneumonia is one of the most common complications following hip arthroplasty in older adults. …”
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Analysis of non-exponential sound decay in an enclosure composed of two connected rectangular subrooms by Mirosław Meissner

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A novel fusion positioning navigation system for greenhouse strawberry spraying robot using LiDAR and ultrasonic tags by Haoran Tan, Xueguan Zhao, Hao Fu, Minli Yang, Changyuan Zhai

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A designed predictive modelling strategy based on data decomposition and machine learning to forecast solar radiation by Mumtaz Ali, Ramendra Prasad, Salman Alamery, Aitazaz Ahsan Farooque

“…In this paper, a weekly solar radiation (SR) forecasting model is designed using a robust local mean decomposition (RLMD) technique unified with a random forest (RF) algorithm to generate a fully optimised hybridized RLD-RF model that has a promising capability to forecast the SR values. …”
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Interpretable Machine Learning for Multi-Energy Supply Station Revenue Forecasting: A SHAP-Driven Framework to Accelerate Urban Carbon Neutrality by Zhihui Zhao, Minjuan Wang, Jin Wei, Xiao Cen, Shengnan Du, Ziwen Wu, Huanying Liu, Weiqiang Wang

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Research on a Fusion Technique of YOLOv8-URE-Based 2D Vision and Point Cloud for Robotic Grasping in Stacked Scenarios by Xuhui Ye, Xiaoyang Qin, Leming Zhan, Jun Wang, Yan Chen

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Topological search and gradient descent boosted Runge–Kutta optimiser with application to engineering design and feature selection by Jinge Shi, Yi Chen, Ali Asghar Heidari, Zhennao Cai, Huiling Chen, Guoxi Liang

“…Therefore, this research aims to integrate the topological search (TS) mechanism with the gradient search rule (GSR) into the framework of RUN, introducing an enhanced algorithm called TGRUN to improve the performance of the original algorithm. …”
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Research on Obstacle-Avoidance Trajectory Planning for Drill and Anchor Materials Handling by a Mechanical Arm on a Coal Mine Drilling and Anchoring Robot by Siya Sun, Sirui Mao, Xusheng Xue, Chuanwei Wang, Hongwei Ma, Yifeng Guo, Haining Yuan, Hao Su

“…Then, in order to adapt to the dynamic environment and avoid the global planning algorithm from falling into the local minima, on the basis of the above planning methods, an improved Bi-RRT trajectory planning algorithm incorporating the artificial potential field was proposed, which takes the planned paths as the guiding potential field of the artificial potential field to make full use of the global information and avoid falling into the local minimization. …”
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A Global Revolutionary Class Will Ride the Tiger of Alienation by Hardy Hanappi

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Representative Model of Economic Development for an Agricultural Enterprise in the Context of Socioeconomic Rural Space Formation by Vasyl D. Zalizko, Igor L. Fedun, Valentyn I. Martynenkov

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Application of hyperthermia robots in Cyber-syndrome treatment by Xueyan YIN, Feifei SHI, Jinqiang WANG, Huansheng NING

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Many-objective Optimization Design of a 2PRU-PRUR Parallel Mechanism Without Parasitic Motion by Che Linxian, Peng Siyang, Huang Xin, He Bing, He Xiaohui, Ao Jin

“…Based on the performance evaluation and workspace analysis, a constrained many-objective optimization model was constructed to formulate the design problem of dimensional parameters, and multi-objective evolutionary algorithms were employed to solve this problem. To enhance the optimization performance of the algorithm for solving the problem, a vector-angle-based many-objective differential evolution (VaDE) algorithm was proposed, which can balance comprehensively the convergence and distribution of the individuals. …”
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Optimization of Unmanned Excavator Operation Trajectory Based on Improved Particle Swarm Optimization by Tingting Wang, Xiaohui He, Yunkang Zhou, Faming Shao

“…To realize the autonomous operation of unmanned excavators, this study takes the four-axis manipulator arm of an unmanned excavator as the research object, uses the five-order B-spline curve for operation trajectory planning, and proposes an improved particle swarm optimization algorithm for the continuous trajectory optimization problem of excavator single operation. …”
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Multi-criteria decision analysis for regional-scale flood susceptibility mapping in Kerala state, India by M. S. Kendagannaswamy, C. K. Roopa, B. S. Harish, M. S. Mukesh

“…Despite Kerala's flood vulnerability and due to its intense annual rainfall, existing flood prediction approaches often fail to provide accurate and localized risk assessments. Various Machine Learning (ML) approaches offer promising results but there is a critical gap in applying these advanced ML algorithms along with systematized decision-making frameworks that would work well for Kerala's specific geographical and climatic conditions. …”
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Robust Bi-CBMSegNet framework for advancing breast mass segmentation in mammography with a dual module encoder-decoder approach by Yu Wang, Mudassar Ali, Tariq Mahmood, Amjad Rehman, Tanzila Saba

“…Current target detection algorithms have limited applications and low accuracy. …”
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