Mapping Soil Available Nitrogen Using Crop-Specific Growth Information and Remote Sensing by Xinle Zhang, Yihan Ma, Shinai Ma, Chuan Qin, Yiang Wang, Huanjun Liu, Lu Chen, Xiaomeng Zhu

“…The accuracy of different strategies was evaluated using 5-fold cross-validation. The research results indicate that (1) the introduction of growth information at different growth periods of soybean and maize has different effects on the accuracy of soil AN mapping. …”
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Diabetes distress among immigrants of south Asian descent living in New York City: baseline results from the DREAM randomized control trial by Farhan Mohsin, Laura Wyatt, Hayley Belli, Shahmir Ali, Deborah Onakomaiya, Supriya Misra, Yousra Yusuf, Shinu Mammen, Jennifer Zanowiak, Sarah Hussain, Haroon Zafar, Sahnah Lim, Nadia Islam, Naheed Ahmed

“…Methods Baseline data was collected from the Diabetes Research, Education, and Action for Minorities (DREAM) Initiative, an intervention designed to reduce hemoglobin A1c (HbA1c) among South Asian individuals with uncontrolled T2D at primary care practices in NYC. …”
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Fitts’ law-based identification of motor development stages for the upper limb: proof of concept in three age groups by Cristina Sanchez, Eloy Urendes, Alejandra Aceves, María Martínez-Olagüe, Rafael Raya

“…These metrics show potential for clinical and research applications, particularly in evaluating motor impairments or tracking rehabilitation progress in neurological conditions and advancing motor development research. …”
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MSANet: LiDAR-Camera Online Calibration with Multi-Scale Fusion and Attention Mechanisms by Fengguang Xiong, Zhiqiang Zhang, Yu Kong, Chaofan Shen, Mingyue Hu, Liqun Kuang, Xie Han

“…Sensor data fusion is increasingly crucial in the field of autonomous driving. In sensor fusion research, LiDAR and camera have become prevalent topics. …”
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Delay–Doppler Block Division Multiplexing: An Integrated Navigation and Communication Waveform for LEO PNT by Dong Fu, Honglei Lin, Yinan Meng, Jing Peng, Gang Ou, Shaojing Wang

“…The recent rapid deployment of low-Earth-orbit (LEO) broadband constellations has positioned these systems as expected emerging navigation sources, thereby driving research interest in integrated navigation and communication (INAC) technologies. …”
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The Future of Vineyard Irrigation: AI-Driven Insights from IoT Data by Simona Stojanova, Mojca Volk, Gregor Balkovec, Andrej Kos, Emilija Stojmenova Duh

“…We designed, developed, and tested a Long Short-Term Memory (LSTM) model, which achieved a Mean Squared Error (MSE) of 0.37, and evaluated its performance against a simpler baseline linear regression (LinReg) model, which yielded a higher MSE of 1.29. …”
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Temperature Field Prediction of Glulam Timber Connections Under Fire Hazard: A DeepONet-Based Approach by Jing Luo, Guangxin Tian, Chen Xu, Shijie Zhang, Zhen Liu

“…This research establishes a complete workflow from fundamental heat transfer analysis to efficient data generation and machine learning prediction, providing structural engineers with practical tools for the performance-based fire safety design of timber connections. …”
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A Comprehensive Framework for Transportation Infrastructure Digitalization: TJYRoad-Net for Enhanced Point Cloud Segmentation by Zhen Yang, Mingxuan Wang, Shikun Xie

“…This research introduces a cutting-edge approach to traffic infrastructure digitization, integrating UAV oblique photography with LiDAR point clouds for high-precision, lightweight 3D road modeling. …”
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Human Capital Development and Public Health Expenditure: Assessing the Long-Term Sustainability of Economic Development Models by Ngesisa Magida, Thobeka Ncanywa, Kin Sibanda, Abiola John Asaleye

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Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation by Masood Sujau, Masako Wada, Emilie Vallée, Natalie Hillis, Teo Sušnjak

“…Despite the abundance of scientific publications, the manual extraction of these data via systematic literature reviews remains a significant bottleneck, requiring extensive time and resources, and is susceptible to human error. This study examines the application of a large language model (LLM) as an assessor for screening prioritisation in climate-sensitive zoonotic disease research. …”
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Molecular Detection of the Grapevine Pathogens <i>Plasmopara viticola</i> and <i>Erysiphe necator</i> from Airborne Inoculum Collector Cyclones by Joaquín Balduque-Gil, Ana Garcés-Claver, Inés Pérez-Lamuela, Juan J. Barriuso-Vargas, Oreto Fayos

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AI-Driven Adaptive Communications for Energy-Efficient Underwater Acoustic Sensor Networks by A. Ur Rehman, Laura Galluccio, Giacomo Morabito

“…The results illustrate the framework ability to effectively balance energy efficiency, performance, and ecological impact. This research contributes directly to ongoing development in sustainable and energy-efficient underwater wireless sensor network design and deployment.…”
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Integration of BIM and ar with VSLAM to assist in construction site inspection by Wei-Liang Kuo, Bo-Kai Huan, Shang-Hsien Hsieh, Yuan-Hao Tsai, Yun-Tsui Chang

“…To overcome these barriers, this research applied BIM and AR with Visual Simultaneous Localization and Mapping (VSLAM) to help inspectors quickly and effectively record construction defects as photographs with notes and their locations. …”
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Reported Challenges in Deep Learning-Based Human Pose Estimation: A Systematic Review by Nagwa R. Fisal, Ahmed Fathalla, Dina A. Elmanakhly, Ahmad Salah

“…Finally, this study highlights the gaps in the field, which could lead to new research opportunities.…”
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Energy-Efficient Optimal Control of Crude Distillation Columns Using Proportional-Integral-Plus (PIP) Framework: A Simulation-Based Approach by Mir Mohammad Khalilipour, Farhad Shahraki, Jafar Sadeghi, Kiyanoosh Razzaghi

“…Objective: The objective of this research is to optimize the crude distillation unit (CDU) in oil refineries by reducing energy consumption and improving operational efficiency through the application of a Proportional-Integral-Plus (PIP) control system within a Non-Minimal State Space (NMSS) framework. …”
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Data Mining of 24-Hour Cumulative Precipitation Data in Iran Using Machine Learning: Multilayer Perceptron Neural Network and Decision Tree by mozaffar faraji, Majid Rezaii Banafsheh Daragh, Behroz sarisarraf, Ali Mohammad Khorshid Dust

“…Research Topic: This study examines 24-hour cumulative precipitation data in Iran and predicts rainfall amounts over various time periods using data mining and machine learning. …”
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Hydraulic fracturing radioactive source tracing technology based on hydraulic fracturing tracing mechanics model by Pang Yang, Song Yushou, Pan Qun, Zhao Lin

“…In the examination of economic and environmental benefits, it is found that the model proposed by the research reduces labor expenditure costs to 292,000 yuan, equipment costs to 392,000 yuan, chemical supplies costs to 217,000 yuan, and maintenance costs to 98,000 yuan, but the revenue increases to 1.34 million yuan, and environmental satisfaction reaches 81.4%. …”
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Blood Glucose Prediction Using Artificial Neural Networks Trained with the AIDA Diabetes Simulator: A Proof-of-Concept Pilot Study by Gavin Robertson, Eldon D. Lehmann, William Sandham, David Hamilton

“…The accuracy of the nocturnal predictions was measured as the root mean square error over five test days (RMSE5 day) not used during ANN training. …”
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From Photogrammetry to Virtual Reality: A Framework for Assessing Visual Fidelity in Structural Inspections by Xiangxiong Kong, Terry F. Pettijohn, Hovhannes Torikyan

“…Traditionally, these structures are inspected in situ by qualified engineers, a method that is high-cost, risky, time-consuming, and prone to error. Recently, researchers have explored innovative practices by using virtual reality (VR) technologies as inspection platforms. …”
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An Adaptive Optimization Method for Acoustic Temperature Measurement Topology Based on Multiple Sub-Objectives by Jialiang Zhu, Xinzhi Zhou, Hailin Wang, Yixiao Chen, Tao Xu, Zhengxi He

“…In engineering, a simple uniform placement or trial-and-error methods are often used to determine the transducer topology. …”
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