Trend prediction and influencing factors of the production comparative advantage of China's main apple-producing provinces. by Wenping Ning, Fuhong Zhang, Meiling Zhang

“…<h4>Conclusions</h4>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of "west high, east low". 2) APCA mainly shifted sequentially between neighbouring ranks. …”
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Reconstruction Design of Existing Residential Buildings Based on 3D Simulation Method by Wang Bo, Chen Mengjia

“…The experimental results show that the information integrity of the building model reconstructed by 3D simulation technique is nearly 100%, and the insulation performance of the building wall is better.…”
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HAF-YOLO: Dynamic Feature Aggregation Network for Object Detection in Remote-Sensing Images by Pengfei Zhang, Jian Liu, Jianqiang Zhang, Yiping Liu, Jiahao Shi

“…It addresses issues such as small object size, complex backgrounds, scale variation, and dense object distributions by incorporating three core modules: dynamic-cooperative multimodal fusion architecture (DyCoMF-Arch), multiscale wavelet-enhanced aggregation network (MWA-Net), and spatial-deformable dynamic enhancement module (SDDE-Module). …”
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Distinct Regional and Seasonal Patterns of Atmospheric NH₃ Observed from Satellite over East Asia by Haklim Choi, Mi Eun Park, Jeong-Ho Bae

“…Despite its critical environmental role, NH₃’s transient atmospheric lifetime and the variability in spatial and temporal distributions pose challenges for effective global monitoring and comprehensive impact assessment. …”
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Unlocking the potential of ChatGPT in detecting the XCO2 hotspot captured by orbiting carbon observatory-3 satellite by Young-Seok Hwang, Stephan Schlueter, Biswajeet Pradhan, Jung-Sup Um

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Detection of Apple Proliferation Disease Using Hyperspectral Imaging and Machine Learning Techniques by Uwe Knauer, Sebastian Warnemünde, Patrick Menz, Bonito Thielert, Lauritz Klein, Katharina Holstein, Miriam Runne, Wolfgang Jarausch

“…Including spatial distribution of spectral data further improves the results to 0.751. …”
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Mechanical Analysis of Mining Stress Transfer on Isolated Island Face in Extra-Thick Fully Mechanized Top-Coal Caving Mining by Min Tu, Qingwei Bu, Baojie Fu, Yu Wang

“…The mining spatial structure of isolated island face in extra-thick fully mechanized top-coal caving mining is unique, which leads to a complex mining stress distribution and serious safety hazards. …”
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Evaluation of surface albedo products from ERA5, JRA-55, MERRA-2, and CERES-EBAF on the Tibetan Plateau: insights from in-situ observations and MODIS data by Guojin Pang, Lingzhen Meng, Xuejia Wang, Fei Liu, Mengyao Shu, Chunli Ma, Tao Che

“…Nevertheless, ERA5 successfully replicates the overall spatial distribution, albeit with a tendency to overestimate values. …”
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A method for determining fracturing radius of blasting holes based on SF6 gas tracing by Dongxu JIA

“…In-situ blasting cracking tests were carried out at the 10102 top extraction roadway excavation face of Yuwang Coal Mine. The spatial concentration gradient analysis method was adopted to establish a quantitative evaluation model of SF6 diffusion field and cracking radius. …”
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Land use and land cover classification and terrestrial ecosystem carbon storage changes in Vietnam based on Sentinel images by Yang Liu, Kun Yang, Zongqi Peng, Tianle Zou, Danni Su, Run Sun, Jingcong Ma

“…Carbon stock data from 2015 to 2023 were generated using the InVEST model, and their spatial-temporal variations were analyzed. …”
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Technology and application of staged fracturing weakening and relieving danger in hard roof by Yongquan SHAN, Dengyan GAO, Jianhua CHEN

“…There are 11 zonal anomalies in the spatial distribution of fracturing fractures, and the direction of fracturing fractures is mostly 36°-54°, which is nearly parallel to the direction of maximum principal stress (NE55°- NE 77°). …”
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Detection of mineralogical and lithological transitions in igneous Intrusion-Limestone boundaries using close-range hyperspectral remote Sensing: A resource perspective by Huy Hoa Huynh, Jaehyung Yu, Lei Wang, Trung Hieu Pham, Jin-Young Lee

“…Even when feasible, conventional surveys often fail to delineate subtle lithological transitions without extensive laboratory analysis, which alone cannot define spatial distribution. We interpreted the geology of an inaccessible limestone quarry using an integrated approach combining petrographic, chemical, and spectral analyses with close-range hyperspectral remote sensing. …”
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Application of a GA-BP Neural Network in Accurately Characterizing the Diffusion Range of Groundwater Pollutants by Jiayun JI, Xiao XIAO, Pinlu YANG, Yang LIU, Yahong ZHOU

“…Using ArcGIS spatial interpolation, the distribution of Mn2+ ions in a chemical park was analyzed, revealing discrepancies due to uneven sampling. …”
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Unveiling the pulse of urban metro stations: a TOD-driven approach to measuring vibrancy using geographically weighted random forest by Yongyang Xu, Wanfeng Mao, Sheng Hu

“…This study highlights the importance of life and entertainment services, building density and height, and public transport services in enhancing urban vibrancy. Spatial distribution analysis shows a concentration of high vitality in city centers, with a gradual decrease toward the periphery. …”
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Mapping subtidal seagrass in the turbid Baltic Sea: Rethinking satellite sensor selection using a sensor-agnostic pipeline by Eike M. Schütt, Florian Uhl, Philipp R. Schubert, Thorsten B.H. Reusch, Natascha Oppelt

“…Using a sensor-agnostic pipeline for preprocessing, feature selection, and XGBoost model training, we show that Sentinel-2 and Planet SuperDove face limitations in capturing fine-scale meadow fragmentation due to their large Spatial Resolution Distance. …”
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Attention-Guided Residual Spatiotemporal Network with Label Regularization for Fault Diagnosis with Small Samples by Yanlong Xu, Liming Zhang, Ling Chen, Tian Tan, Xiaolong Wang, Hongguang Xiao

“…The method incorporates channel attention and spatial attention simultaneously, implementing channel-wise recalibration for frequency-dependent feature adjustment and performing spatial context aggregation across receptive fields. …”
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Evaluation of focal mechanism and inducing burst ability of large energy mine earthquakes in deep thick overburden mine by Quanping ZHANG, Yinghao HAO, Yongjin HUO, Qian ZHAO, Siyuan GONG, Rupei ZHANG

“…In order to investigate the burst inducing ability of large energy earthquakes, based on the engineering background of the 3106 working face of Menkeqing Coal Mine in Ordos mining area, the vertical height of large energy mine earthquakes is modified based on the moment tensor mechanics mechanism, the temporal and spatial distribution characteristics of large energy mine earthquakes are analyzed, and the factors influencing the frequent occurrence of large energy mine earthquakes near the goaf side are explored combined with drilling data. …”
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Controls of reservoir quality for submarine fan of F4 Formation in the Z oilfield, Illizi Basin, Algeria by Changhai Li, Weiqiang Li, Hui min Ye, Qiang Zhu, Xuejun Shan, Hongping Wang, Shengli Wang, Ziyu Zhang, Xianjie Zhou, Zixin Xue, Rongtu Ma

“…By integrating core data, thin-section analysis, grain-size data, logging data, and petrophysical property data, this study systematically classifies the depositional environments in the study area, constructs a sedimentary-logging identification template, maps the spatial distribution of lithofacies associations, identifies diagenetic types and evolution sequences, assesses reservoir quality, uncovers the origin of high-quality reservoirs and formulates a genetic model for high-quality reservoirs. …”
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Pretreatment PET dissemination features as biomarkers for survival outcomes in melanoma patients treated with immune-checkpoint inhibitors by Hanna Saadani, Else A. Aalbersberg, Mutamba T. Kayembe, John B.A.G. Haanen, Otto S. Hoekstra, Ronald Boellaard, Marcel P.M. Stokkel

“…The validated dissemination model, clinical model and combination model showed similar low discriminative ability with an Area Under the Curve (AUC) of 0.61–0.66 for OS and an AUC of 0.59–0.66 for PFS. …”
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Bicoid gradient formation mechanism and dynamics revealed by protein lifetime analysis by Lucia Durrieu, Daniel Kirrmaier, Tatjana Schneidt, Ilia Kats, Sarada Raghavan, Lars Hufnagel, Timothy E Saunders, Michael Knop

“…Quantitative analysis of the protein age distribution across the embryo reveals that the synthesis–diffusion–degradation model is the most likely model underlying Bicoid gradient formation, and rules out other hypotheses for gradient formation. …”
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