Water quality management of heavily contaminated urban rivers using water quality analysis simulation program by J. Jiang, T. Ri, T. Pang, Y. Wang, P. Wang

“…This study presented a water quality analysis simulation program model-based approach for dynamical load reduction in Ashi River, highly contaminated tributaries of Songhua River, China. …”
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Absorbing Aerosol Effects on Hyperspectral Surface and Underwater UV Irradiances from OMI Measurements and Radiative Transfer Computations by Alexander Vasilkov, Nickolay Krotkov, Matthew Bandel, Hiren Jethva, David Haffner, Zachary Fasnacht, Omar Torres, Changwoo Ahn, Joanna Joiner

“…To provide insight into the temporal and spatial variability of absorbing aerosols, we consider a monthly global AAOD climatology derived from the OMI UV aerosol algorithm. …”
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Spatiotemporal patterns of desertification sensitivity and influencing factors across the Western Inner Mongolia Plateau, China by Yang Chen, Long Ma, Xixi Wang, Tingxi Liu, Zixu Qiao

“…This study focuses on the Western Inner Mongolia Plateau in China as a case study to examine the evolution of desertification and its driving factors using a multifaceted approach, including the Mediterranean Desertification and Land Use (MEDALUS) model. Results show that the desertification sensitivity index (DSI) across the plateau ranged from 1.12 in prairie regions to 1.87 in desert areas, with a spatial gradient decreasing from west to east. …”
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Slope stability evaluation of mine rehabilitation project under different rainfall conditions by Meiyi TU, Shiyu YUAN, Jiangjun CHEN, Yunfeng GE

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Comparative analysis and selection of the geometry of the microphone array based on MEMS microphones for sound localisation by Andrii Riabko, Tetiana Vakaliuk, Oksana Zaika, Roman Kukharchuk, Yuriy Smorzhevsky

“…In future work, we will focus on improving array designs using SSL reduction methods to expand localization accuracy across a wider frequency range.…”
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Assessment of coastal zone ecosystem health in the context of tourism development: A case study of Jiaozhou Bay by Zhang Shengrui, Zhang Zhenqi, Zhang Tongyan, Ju Hongrun

“…Utilizing the “Vigor-Organization-Resilience (VOR)” model, the research establishes an index system for evaluating ecosystem health. …”
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Automotive DNN-Based Object Detection in the Presence of Lens Obstruction and Video Compression by Gabriele Baris, Boda Li, Pak Hung Chan, Carlo Alberto Avizzano, Valentina Donzella

“…The effects are discussed in terms of machine learning vehicle detection accuracy drop, and also visualising how detection performance spatially varies on the frames using the recently introduced metric, the Spatial Recall Index (SRI). …”
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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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Forest dynamics and local perceptions of conservation: the case of Bontioli forest in south-western Burkina Faso by Mohamed Awalo Traoré, Mohamed Awalo Traoré, Jean-François Bissonnette, Jean-François Bissonnette, Kossivi Fabrice Dossa, Kossivi Fabrice Dossa

“…Data were collected through semi-structured interviews and focus group discussions and analyzed using mixed thematic coding (both inductive and deductive) with NVivo 14 software.ResultsSpatial analysis revealed a steady pattern of deforestation, marked by significant agricultural expansion and a reduction in natural vegetation, primarily driven by human activities. …”
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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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Combined application of FTAN and cross-spectra analysis to ambient noise recorded by a microseismic monitoring network by Ilaria Barone, Alessandro Brovelli, Giorgio Tango, Sergio Del Gaudio, Giorgio Cassiani

“…Surface wave tomography was run to obtain the spatial distribution of group and phase velocities for the same wavelengths. …”
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Spatiotemporal Analysis and Physicochemical Profiling of PM₁₀ and PM_2.5 in Slovenia by Maja Ivanovski, Ivan Anžel, Darko Goričanec, Danijela Urbancl

“…Meteorological data and statistical models were used to assess environmental influences on PM variability. …”
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Palsa mires of the Northern Hemisphere: environmental characteristics, degradation, and morpho-ecological state by Oona Leppiniemi

“…The main objective of this thesis is to provide a comprehensive understanding of the environmental factors influencing the occurrence and morpho-ecological state of palsa mires, and to predict future changes in palsa distribution. To achieve this, the thesis employs a multi-scale approach, integrating remote sensing data and statistical modelling across spatial scales ranging from circumpolar to local. …”
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Chaperonin containing TCP1 subunit 5 as a novel pan-cancer prognostic biomarker for tumor stemness and immunotherapy response: insights from multi-omics data, integrated machine le... by Jiajun Li, Nuo Xu, Leyin Hu, Jiayue Xu, Yifan Huang, Deqi Wang, Feng Chen, Yi Wang, Jiani Jiang, Yanggang Hong, Huajun Ye

“…Furthermore, CCT5-high tumors exhibited immune-cold phenotypes, with reduced TILs and CD8⁺ T cell activity. The CCT5.Sig model, based on genes co-expressed with CCT5, achieved superior predictive accuracy for ICB response (AUC = 0.82 in validation and 0.76 in independent testing), outperforming existing pan-cancer signatures. …”
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Kinematic Adaptive Frame Recognition (KAFR): A Novel Framework for Video Segmentation via Frame Similarity and Surgical Tool Tracking by Huu Phong Nguyen, Shekhar Madhav Khairnar, Sofia Garces Palacios, Amr Al-Abbas, Melissa E. Hogg, Amer H. Zureikat, Patricio M. Polanco, Herbert J. Zeh, Ganesh Sankaranarayanan

“…Our approach follows these steps:1) Tracking phase: a YOLOv8 model is utilized to detect tools presented in the scene, 2) Similarity phase: Similarities between consecutive frames are computed by estimating variation in the spatial positions and velocities of the tools, 3) Classification phase: An X3D CNN is trained to classify segmentation. …”
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BLVQE: Blind Laparoscopic Video Quality Evaluator using spatio-temporal interdependency and textural cues by Sria Biswas, Rohini Palanisamy

“…This work introduces Blind Laparoscopic Video Quality Evaluator (BLVQE) that models the statistical interdependencies between spatial, temporal and texture features. …”
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Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network by YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei

“…[Results and Discussions]The research findings confirmed the strong performance of the SIF reconstruction model in predicting soybean SIF. After simultaneously incorporating EVI, FPAR, and LST as explanatory variables to model, achieved a goodness of fit with an R2 value of 0.84, this statistical metric validated the model's capability in predicting SIF data, it also reflected that the reconstructed 8 d time resolution of SIF data's reliability of applying to small-scale agricultural crop photosynthesis research with 500 m×500 m spatial scale. …”
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Projections of Extreme Precipitation Changes over the Eastern Tibetan Plateau: Exploring Thermodynamic and Dynamic Contributions by Xiaojiang Liu, Xi Liu, Chengxin Li, Xiaomin Ma, Kena Chen, Zhenhong Sun, Kangning Wang, Quanliang Chen, Hongke Cai

“…Both HR and LR models successfully reproduce the spatial distribution of annual precipitation, capturing the northwest-to-southeast increasing gradient. …”
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Constructing a 22-year internal wave dataset for the northern South China Sea: spatiotemporal analysis using MODIS imagery and deep learning by X. Zhang, X. Zhang, X. Li, X. Li

“…The constructed dataset holds significant potential for studying IW–environment interactions, developing monitoring and prediction models, validating numerical simulations, and serving as an educational resource to promote awareness and interest in IW research.…”
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Revealing the Tectonic-Driven Nature From the InSAR Surface Deformation Background Signals in Xiamen–Kinmen Coasts, China by Fengling Yu, Zhaoquan Huang

“…The above results reveal the tectonic-driven nature of the InSAR background deformation, which can be explained by a simplified crustal movement model of the region. This study highlights the potential of InSAR data to provide a detailed quantitative understanding of small surface deformation driven by regional tectonics, which is crucial for the quantitative study of structural geology and the prediction of potential geohazards.…”
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