Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework by Jinjiang Liu, Yonghua Xie, Yu Zhang, Haoming Li

“…In the detection module, we introduce the innovative MSN-YOLO model, which combines the C2f_MLCA module, the Detect_SEAM module, and the NWD loss function to enhance feature fusion and improve cross-scale information processing. These enhancements significantly boost the model’s ability to detect small objects and handle complex backgrounds. …”
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Efficient Exploitation of Lepidolite Resources: A Review on Beneficiation Techniques, Extraction Methods, and Synergistic Optimization by Jiangang Ku, Xiao Shi, Qian Wang, Hanyu Lin, Hongliang Shang, Zhengchang Shen

“…Microwave-assisted roasting boosts Li recovery to 95.9% and cuts energy use by 26.9%. …”
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Physiological Evaluation of Salt Tolerance in Sunflower Seedlings Across Different Genotypes by Fangyuan Chen, Lvting Xiao, Qixiu Huang, Lijun Xiang, Qiang Li, Xianfei Hou, Zhonghua Lei, Youling Zeng

“…Furthermore, the salt-tolerant germplasms also exerted salt tolerance through the following several pathways: they maintained robust osmotic regulation by accumulating higher levels of proline, soluble sugars, and other osmolytes; they neutralized reactive oxygen species (ROS) by elevating the activity of antioxidant enzymes such as POD, SOD, CAT, APX, and GR; and they sustained optimal growth by boosting photosynthesis. Taken together, this study provided a more comprehensive assessment of the sunflower’s physiological salt tolerance, providing insights that will inform further molecular studies on salt tolerance and accelerating the breeding process for sunflower varieties with improved salt resilience.…”
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Quantifying the Geomorphological Susceptibility of the Piping Erosion in Loess Using LiDAR-Derived DEM and Machine Learning Methods by Sisi Li, Sheng Hu, Lin Wang, Fanyu Zhang, Ninglian Wang, Songbai Wu, Xingang Wang, Zongda Jiang

“…Soil piping erosion is an underground soil erosion process that is significantly underestimated or overlooked. …”
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MEIS-YOLO: Improving YOLOv11 for efficient aerial object detection with lightweight design by Yicheng Liu, Jinsong Wu, Li Chen

“…To tackle this problem, this paper presents an enhanced You Only Look Once version 11 (YOLOv11)-based model designed to boost both the detection accuracy and computational efficiency in aerial image processing, named MEIS-YOLO. …”
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CoMA - an intuitive and user-friendly pipeline for amplicon-sequencing data analysis. by Sebastian Hupfauf, Mohammad Etemadi, Marina Fernández-Delgado Juárez, María Gómez-Brandón, Heribert Insam, Sabine Marie Podmirseg

“…In recent years, there has been a veritable boost in next-generation sequencing (NGS) of gene amplicons in biological and medical studies. …”
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EFCNet for small object detection in remote sensing images by Yutong Wang, Zhensong Li, Shiliang Zhu, Xiaotan Wei

“…Abstract Object detection, as a crucial component of remote sensing image processing, has become one of the primary methods with the maturation of deep learning technologies. …”
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Study on a Receiver Circuit for Simultaneous Lightwave Information and Power Transfer by TU Junxuan, FAN Tingbing, NI Huilin, ZHUANG Jizhou, CAO Guoyang, WU Shaolong, LI Xiaofeng

“…The EH circuit consists of three parts: boost circuit, energy management circuit and voltage stabilizing circuit, which is used for EH management and output. …”
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Design and Implementation of a PLC-Based SCADA System for Real-Time Monitoring and Control of Photovoltaic Energy Conversion by Ahmed Al-Naib, Majeed Mohammed

“…The PLC, programmed via TIA Portal V17, serves as the central processing unit, acquiring analog signals from PV modules and facilitating data logging, processing, and visualization. …”
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Explainable AI for Symptom-Based Detection of Monkeypox: a machine learning approach by Gizachew Mulu Setegn, Belayneh Endalamaw Dejene

“…Conclusions Our research shows that combining explainable techniques with AI models greatly enhances the accuracy of case detection and boosts the trust of medical professionals. These models result in directly involving the reader and health care professional in the decision-making process, making informed decisions, and efficiently allocating resources by providing insight into the decision-making process. …”
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Machine Learning-Augmented Triage for Sepsis: Real-Time ICU Mortality Prediction Using SHAP-Explained Meta-Ensemble Models by Hülya Yilmaz Başer, Turan Evran, Mehmet Akif Cifci

“…<b>Conclusions:</b> These results underscore the potential of AI-driven tools to enhance clinical decision-making processes in sepsis management, enabling early interventions and potentially reducing mortality rates.…”
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Analyzing the parameters of a desalination solar unit using Ansys Workbench 16.0 to improving the efficiency of the conventional solar still by Selvaraj P., Nagaraj G., Rajkumar T., Renin Jeya Gem J.B.

“…Adding certain heat-absorbing materials to the solar still basin and boosting its efficiency while enhancing the rate at which bore water is purified. …”
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Integrating service design principles in NbS implementation: Insights from Szombathely (Hungary) by Francisca Tapia, Andras Reith

“…By integrating SD principles, the study contrasts conventional top-down approaches with co-design processes, revealing that the latter can foster a more inclusive and participatory NbS design, boosting stakeholder engagement and adjusting NbS to local needs. …”
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Enhanced continental weathering drove a transient oxygenation event during the largest Ediacaran carbon isotope excursion by He Sun, Yilin Xiao, Yangyang Wang, Fengtai Tong, Hai-Ou Gu, Can Ge, Fangyue Wang, Zhihui An, Erhao Shan, Meng Zhang, Tingyu Yang, Pengju Liu

“…This process may also explain the negative δ13Ccarb excursion, as it could result from the oxidation of upwelling dissolved organic carbon in shallow seawater. …”
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Effect of compost as a soil amendment on the structure and function of fungal diversity in saline–alkali soil by Daolong Xu, Xiaowen Yu, Yusen Zhang, Yaru Liu, Chunmei Chen, Li Li, Shuming Fan, Xingrong Lu, Xiujuan Zhang

“…The findings from this research could offer a theoretical foundation for enhancing saline-alkali soils with microbial biofertilizers and boosting agricultural productivity.…”
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Intelligent optimization method of fracturing parameters for shale oil reservoirs in Jimsar Sag, Junggar Basin, NW China by Yunjin WANG, Fujian ZHOU, Hang SU, Leyi ZHENG, Minghui LI, Fuwei YU, Yuan LI, Tianbo LIANG

“…A policy gradient-genetic-particle swarm algorithm is designed, which can adaptively adjust the inertia weights and learning factors in the iterative process, significantly improving the optimization ability of the optimization strategy. …”
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Seaweed polysaccharides: Sources, structure and biomedical applications with special emphasis on antiviral potentials by Alima Akter, Mohammad Khairul Alam Sobuj, Md. Shoebul Islam, Koushik Chakroborty, Nazia Tasnim, Mehedi Hasan Ayon, Md. Foysul Hossain, S.M. Rafiquzzaman

“…The assortment and constitution of polysaccharides found in seaweed are crucial factors in regulating these biological processes. Agar, alginate, carrageenan, fucoidan, and ulvan are abundant in seaweeds, boosting their bioactivity. …”
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Evaluasi Kinerja MLLIB APACHE SPARK pada Klasifikasi Berita Palsu dalam Bahasa Indonesia by Antonius Angga Kurniawan, Metty Mustikasari

“…Data processing stages include preprocessing, feature extraction, and algorithm implementation.  …”
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An efficient retrieval method on Google Earth Engine and comparison with hybrid methods: a case study of leaf area index retrieval by Sijia Li, Zhiguang Tang, Kaisen Ma, Zhenyi Wang, Wenjuan Li

“…The performances of LUT and hybrid methods, including random forest (RF), gradient boosting regression tree (GBRT), classification and regression tree (CART), support vector regression (SVR), and Gaussian process regression (GPR), were evaluated on GEE by simulation experiments. …”
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Prediction of Optimum Operating Parameters to Enhance the Performance of PEMFC Using Machine Learning Algorithms by Arunadevi M, Karthikeyan B, Anirudh Shrihari, Saravanan S, Sundararaju K, R Palanisamy, Mohamed Awad, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Abdulrahman Al Ayidh, Hany S. Hussein, Mahmoud M. Hussein, Ahmed I. Omar

“…This paper is structured to study the influence of different process parameters such as system temperature, fuel supply pressure, air supply pressure, fuel flow rate and air flow rate on the output voltage of the FC. …”
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