Evaluating potential of dye extracted from Vitex doniana bark as reagent for quantitative UV-vis spectroscopic analysis of Ag+, Cu2+ And Zn2+ Ions by Abdul Ganiwu Mohammed, Ohene Boansi Apea, Nathan Ohene Gyang

“…Heavy metal contamination poses significant environmental and health risks, necessitating cost-effective and sustainable detection methods. This study explores the use of a natural dye from Vitex doniana for metal ion detection. …”
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Status, biology, impact, and management strategies of Phyllotreta striolata (Fabricius) (Coleoptera: Chrysomelidae): a comprehensive review of biocontrol strategies by Yan Zhou, Zhijie Li, Mingguo Jiang, Fengfang Li, Tianbao Yang

“…While these approaches show potential in laboratory and field trials, their effectiveness is constrained by factors such as environmental adaptability, cost, and pest resistance. …”
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A Segment Anything Model Approach for Rice Seedlings Detection Based on UAV Images by H. Rezvan, M. J. Valadan Zoej, F. Youssefi, F. Youssefi

“…Our findings reveal that the point prompt method emerges as the preferred choice for rice seedling detection, offering superior accuracy and reliability. …”
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Human–Seat–Vehicle Multibody Nonlinear Model of Biomechanical Response in Vehicle Vibration Environment by Margarita Prokopovič, Kristina Čižiūnienė, Jonas Matijošius, Marijonas Bogdevičius, Edgar Sokolovskij

“…Motion equations are derived using a second-order Lagrangian method; simulations are run using representative values of a typical car and human body segments. …”
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Application of numerical analysis and machine learning techniques to improve drying performance and energy consumption of microwave-assisted convective dryer by Hany S. El-Mesery, Ahmed H. ElMesiry, Mohammad Kaveh, Zicheng Hu, Abdallah Elshawadfy Elwakeel, Sara Elhadad

“…The combined microwave-hot air-drying technology is a modern okra drying method with significant research value and practical production potential. …”
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CRISPR-Cas12a/RPA Dual-Readout Assay for Rapid Field Detection of Porcine Rotavirus with Visualization by Xinjie Jiang, Yun Huang, Yi Jiang, Guang Yang, Xiaocong Zheng, Shuai Gao

“…The lateral flow format provides immediate colorimetric results that require minimal technical expertise, while the fluorescence mode allows for semi-quantitative analysis. …”
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Growth Stages Discrimination of Multi-Cultivar Navel Oranges Using the Fusion of Near-Infrared Hyperspectral Imaging and Machine Vision with Deep Learning by Chunyan Zhao, Zhong Ren, Yue Li, Jia Zhang, Weinan Shi

“…To validate the availability of the proposed method, various machine-learning and deep-learning models are compared for single-modal and multi-modal data. …”
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Thermal annealing-induced structural modifications and electrochemical enhancement of NiO/CNT electrodes synthesized by spray pyrolysis for high-performance supercapacitors by Oluwasegun Emmanuel Ojodun, Patrick Ehi Imoisili, Tien-Chien Jen

“…These findings show how modifying a process parameter in a facile and affordable method like spray pyrolysis can yield optimal results, contributing to realizing Sustainable Development Goal 7 (SDG 7) of affordable and sustainable energy solutions.…”
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VIOS-Net: A Multi-Task Fusion System for Maritime Surveillance Through Visible and Infrared Imaging by Junquan Zhan, Jiawen Li, Langtao Wu, Jiahua Sun, Hui Yin

“…Despite their widespread use, the existing models predominantly train each data source independently or simultaneously train multiple sources without fully optimizing the integration of similar information. This approach, while capable of all-weather detection, results in the underutilization of data features from related sources and unnecessary repetition in model training, leading to excessive time consumption. …”
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Image-Based Breast Cancer Histopathology Classification and Diagnosis Using Deep Learning Approaches by Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi, Rehan Ullah Khan, Ali Mustafa Qamar

“…Our study reveals that addressing these issues requires collaborative efforts to improve the quality of datasets, reduce class imbalances, and develop optimal standardized diagnostic methods. By overcoming these challenges, we can enhance the accuracy, efficiency, and accessibility of breast cancer diagnosis, ultimately leading to better patient outcomes and global healthcare. …”
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Prediction Model of Powdery Mildew Disease Index in Rubber Trees Based on Machine Learning by Jiazheng Zhu, Xize Huang, Xiaoyu Liang, Meng Wang, Yu Zhang

“…Higher spore concentrations lead to faster disease development and increased severity. The optimal relative humidity for powdery mildew development in rubber trees is 80% RH. …”
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Perceptions of the use of a 3D-printed manufactured educational simulator for incisions and sutures by Yasmine Smail, Frenette Codjia, Jean-Pierre Attal, Hechenberger Alexander., Philippe François, Anne-Laure Ejeil

“…Abstract Background The acquisition of clinical and surgical skills is fundamental to dental training. Traditional methods such as cadaveric dissection and porcine models face ethical, logistical, and reproducibility challenges. …”
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Research on Wellbore Trajectory Prediction Based on a Pi-GRU Model by Hanlin Liu, Yule Hu, Zhenkun Wu

“…However, traditional mechanical analysis methods have high computational complexity, and the existing data-driven models cannot fully integrate non-sequential features such as stratum lithology. …”
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Climate adaptation and resilience of biofiltration as a low-cost technological solution for water treatment – A critical review by Adedamola Adesomi Ali, Oliver Terna Iorhemen, Ronald W. Thring

“…This deterioration in water quality increases the difficulty of treating these waters for human consumption, highlighting the urgent need for adaptive water treatment methods. Amid these challenges, biofiltration has emerged as a sustainable, low-cost techno-ecological solution, recognized for its ability to enhance water quality while remaining environmentally friendly. …”
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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

“…This synoptic review evaluates the evolution of classical and modern geostatistical methods, spanning 2000 to 2024, and their integration with machine learning (ML) and remote sensing (RS) technologies. …”
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Enhancing Prostate Cancer Detection: Integrating Multiparametric Magnetic Resonance Imaging and 68Ga-prostate-specific Membrane Antigen Positron Emission Tomography/Computed Tomogr... by Mohammad Hossein Sadeghi, Hamed Bagheri, Mohsen Rajaeinejad, Mohammad Afshar Ardalan, Ismail Karami, Shahryar Sadeghi, Ali Mosadeghkhah, Sedigheh Sina, Farnaz KhajehRahimi, Mahboobeh Sheiki

“…Traditional diagnostic methods, including systematic biopsy guided by transrectal ultrasound, have limitations in detecting significant cancers. …”
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Multimodal Detection of Agitation in People With Dementia in Clinical Settings: Observational Pilot Study by Abeer Badawi, Somayya Elmoghazy, Samira Choudhury, Sara Elgazzar, Khalid Elgazzar, Amer M Burhan

“… Abstract BackgroundDementia is a progressive neurodegenerative condition that affects millions worldwide, often accompanied by agitation and aggression (AA), which contribute to patient distress and increased health care burden. Existing assessment methods for AA rely heavily on caregiver reporting, introducing subjectivity and inconsistency. …”
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Research on the network structure evolution characteristics of outdoor sports tourism flow in the Yangtze River Economic belt based on online travel notes by Nianle Xiao, Binbin Zhao

“…This study provides a scientific decision-making basis for rationally planning outdoor sports tourism routes and scientifically developing outdoor sports tourism destinations, while also offering theoretical support for optimizing the spatial layout and spatial structure of the outdoor sports tourism industry in the Yangtze River Economic Belt.…”
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Research on Spatiotemporal Evolution Characteristics and Driving Mechanisms of Agricultural Drought in the Yellow River Basin by JU Yongsheng, WEI Yong, HU Anlong, LI Huiyong, GUO Aijun

“…Therefore, this paper took the Yellow River Basin in arid regions, semi-arid regions, and the transitional zone between humid and semi-humid regions as an example and used trend test, run length theory, and standard soil index (SSI) methods to reveal the spatiotemporal distribution characteristics and evolution laws of multi-scale agricultural drought. 17 extreme climate indexes and analysis of variance (ANOVA) methods were used to quantitatively reveal the impact of droughts. …”
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Variance-based sensitivity analysis of climate variability impact on crop yield using machine learning: A case study in Jordan by Yingqiang Xu, Abeer Albalawneh, Maysoon Al-Zoubi, Hiba Baroud

“…Machine learning models, particularly eXtreme Gradient Boosting, outperformed traditional methods, achieving out-of-sample R2 values of 0.79 for wheat, 0.92 for date palm, 0.83 for olive, and 0.48 for barley yield prediction. …”
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