Remote Sensing-Based Assessment of Evapotranspiration Patterns in a UNESCO World Heritage Site Under Increasing Water Competition by Maria C. Moyano, Monica Garcia, Luis Juana, Laura Recuero, Lucia Tornos, Joshua B. Fisher, Néstor Fernández, Alicia Palacios-Orueta

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Potential of random forest machine learning algorithm for geological mapping using PALSAR and Sentinel-2A remote sensing data: A case study of Tsagaan-uul area, southern Mongolia by Munkhsuren Badrakh, Narantsetseg Tserendash, Erdenejargal Choindonjamts, Gáspár Albert

“…In the second experiment, variations in the number of trees and variables per split had minimal effects, whereas the choice of stratification method significantly affected model outcomes. …”
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Experimental studies of load-bearing capacity and failure behavior of LNG cargo containment systems with multiple layers of insulation under heavy footprint loads by Guijie Shi, Zhiqian Wang, Deyu Wang

“…Finally, the nonlinear finite element method has been applied to study the deformation and stress distribution of the experimental models under heavy vertical footprint loads. …”
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Leveraging Thermal Infrared Imaging for Pig Ear Detection Research: The TIRPigEar Dataset and Performances of Deep Learning Models by Weihong Ma, Xingmeng Wang, Simon X. Yang, Lepeng Song, Qifeng Li

“…By labeling pig ears within these images, a total of 69,567 labeled files were generated, which can be directly used for training pig ear detection models and enabling the analysis of pig temperature information by integrating the corresponding thermal imaging data. …”
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Development of FBG Inclination Sensor: A Study on Attitude Monitoring of Hydraulic Supports in Coal Mines by Minfu Liang, Kewei Li, Xinqiu Fang, Daqian Zheng, Xinze Lu, Gang Wu, Haiyang Lu

“…The FBG inclinometer for the hydraulic support integrates passive grating sensing technology with an inclination force element. …”
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DMF-YOLO: Dynamic Multi-Scale Feature Fusion Network-Driven Small Target Detection in UAV Aerial Images by Xiaojia Yan, Shiyan Sun, Huimin Zhu, Qingping Hu, Wenjian Ying, Yinglei Li

“…However, traditional detection models suffer significant performance degradation due to challenges including substantial scale variations, high proportions of small targets, and dense occlusions in UAV-captured images. …”
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Increasing engagement with liver disease management across the UK: a follow-up cross-sectional survey by Helen Jarvis, Charlotte Berry, Jonathan Worsfold, Vanessa Hebditch, Stephen Ryder

“…Areas with no liver pathways in place fell from 58% to 36% between the two surveys. Regional variations persist, with Wales and Scotland moving towards comprehensive coverage. …”
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Enhancing Facial Feature Detection: Hybrid Active Shape and Active Appearance Model (HASAAM) by Musab Iqtait, Jafar Ababneh, Mohammad Rasmi, Amer Abu-Jassar, Suhaila Abuowaida

“…This better result helps to compensate for variations in shape and texture. The suggested hybrid method may be expanded to recognize gender, estimate head posture, estimate gaze, find facial feature points in the presence of significant pose fluctuations, and detect facial expressions.…”
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Design and control of a DC-DC buck converter using discrete Takagi-Sugeno fuzzy models by A. Ayada, D. Guiza, D. Ounnas, N. Tidjani

“…System stability is analyzed via Lyapunov’s method and expressed through linear matrix inequalities. …”
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A land-cover-assisted super-resolution model for retrospective reconstruction of MODIS-like NDVI data across the continental United States by blending Landcover300m and GIMMS NDVI3... by Zhicheng Zhang, Zhenhua Xiong, Xuewen Zhou, Kun Xiao, Wei Wu, Qinchuan Xin

“…While data fusion techniques are capable of generating spatiotemporally continuous data, challenges remain in capturing interannual variation of land surface dynamics at a spatial resolution where real observation data are lacking. …”
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Tracing socio-economic transformations and quality of life in peri-urban villages of Durgapur Municipal Corporation (India) during 2011–2023 by Subrata Haldar, Somnath Mandal, Subhasis Bhattacharya, Suman Paul

“…By the systematic sampling method, the study considered 830 households with 10% marginal error and 20% non-sampling for the primary survey. …”
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Subjective Evaluation of Place Environmental Quality in Conference and Exhibition Buildings in Small- and Medium-Sized Cities: An Empirical Case Study by Yuchen Xie, Jianhe Luo, Peng Du

“…To address this gap, this study employs a mixed-method approach that integrates field surveys, interviews, and questionnaires to systematically collect data from 10 representative cases. …”
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Strength Deterioration Pattern and Stability Evaluation of Open−Pit Mine Slopes in Cold Regions Under Freeze–Thaw Cycles by Penghai Zhang, Ning Gao, Wanni Yan, Jun Hou, Honglei Liu

“…Slope safety factors and potential landslide mechanisms were determined through numerical simulations and the strength reduction method. Key findings include the following: (1) Shallow rock temperatures exhibit high synchronization with atmospheric temperature, characterized by large fluctuations and rapid variation rates, whereas deep rock demonstrates opposite trends. (2) As freeze–thaw cycles increase and burial depth decreases, the internal friction angle and cohesion of slope rock masses follow negative exponential decay functions. …”
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Characterization of landuse and landcover dynamics and their impact on runoff generation patterns in dam catchments of Northern Ghana by Etienne Umukiza, Felix K. Abagale, Thomas Apusiga Adongo

“…In addition to the impact of LULC and watershed characteristics on runoff, the observed variations in runoff patterns can be attributed to interannual variability in total annual precipitation which is critical driver of runoff. …”
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Negotiation impact in Supply Chain Management by Elena-Simona Ionel

“…Using qualitative research method through an analysis of recent qualitative and quantitative research, including meta-analysis and case studies, the author identifies negotiation as a strategic leverage that increases supply chain reactivity and efficiency. …”
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Enhancing Soil Moisture Estimates Through the Fusion of SMAP and GNSS-R Data at 3-Km Resolution for Daily Mapping by Paulo T. Setti, Sajad Tabibi

“…A linear regression-based algorithm retrieves soil moisture from both CYGNSS and Spire data, which, despite showing biases relative to one another, exhibit similar sensitivities to soil moisture variations. The 9-km fused product integrates observed and interpolated GNSS-R estimates to complement daily SMAP 9-km maps, while the 3-km product refines GNSS-R retrievals using available SMAP data. …”
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Spatiotemporal Evolution and Driving Factors of Coupling Coordination Degree Between New Urbanization and Urban Resilience: A Case of Huaihai Economic Zone by Heng Zhang, Shuang Li, Jiang Chang

“…This study establishes a transferable framework for the coordinated development of secondary economic cooperation region, though future research should integrate diverse data sources and expand indicator coverage for higher precision. …”
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Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities by Katja Kustura, David Conti, Matthias Sammer, Michael Riffler

“…Unlike traditional satellite-based techniques, our model leverages high-temporal-resolution meteorological data to capture diurnal variations, allowing for more robust LST predictions across different regions and time periods. …”
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Evaluation of Grouting Effectiveness on Cracks in Cement-Stabilized Macadam Layer Based on Pavement Mechanical Response Using FBG Sensors by Min Zhang, Hongbin Hu, Cheng Ren, Zekun Shang, Xianyong Ma

“…Conducted on the South China Expressway project, the methodology encompassed (1) a method for back-calculating the modulus of the asphalt layer based on Hooke’s Law; (2) a sensor layout plan with FBG sensors buried at the top of the pavement base in seven sections; (3) statistical analysis of the asphalt modulus based on the mechanical response when a large number of vehicles passed; and (4) comparative analysis of modulus variations to establish quantitative performance metrics. …”
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Cotton Leaf Disease Detection Using LLM-Synthetic Data and DEMM-YOLO Model by Lijun Gao, Tiantian Ran, Hua Zou, Huanhuan Wu

“…To tackle the challenges of large-scale variations and irregular lesion distribution, we design a multi-scale feature aggregation module (MFAM). …”
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