Ecological network construction and land degradation risk identification in the Yellow River source area by Haoxiang Zhang, Qian Song, Shiru Wang, Jianyun Zhao, Wenming Gao

“…Based on ordered weighted average operator, morphological spatial pattern analysis, ecological sensitivity, circuit theory, CA-Markov model, kernel density analysis, and other methods, this study aims to consider the positive and negative connections of the network thus constructing the ecological and risk network and predicting the potential risk areas in the future. …”
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Identifying Priority Areas for the Indian Leopard (Panthera pardus fusca) Within a Shared Landscape by Aparna Kolekar, Kimberley Hockings, Kristian Metcalfe, Sanjay Gubbi

“…Environment variables were chosen to reflect land use, climatic, topographic, and human disturbances that could affect habitat selection at a resolution of 0.1 km2. The mean ensemble model was projected to the state of Karnataka. Habitat selection predicted by the ensemble model was driven by proximity to forest cover and rocky outcrops, higher precipitation, and negatively by distance to cropland and roads. …”
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Numerical investigation of nonlinear interaction between salinity- and sediment-induced stratification in highly turbid estuaries and coastal seas by Jian Zhou, Bing Sun, Huiming Zhang, Saiyu Yuan, Hongwu Tang

“…These findings highlight the necessity of incorporating sediment's modulation of classical strain-induced periodic stratification due to salinity gradients in numerical models to improve predictions of buoyancy and stability in highly turbid estuarine and coastal systems.…”
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Hydrological Ecosystem Service Assessment Projections in Karst Regions under Future Climate and Land Use Change by Niu Shuai, Yecui Hu, Yuping Bai, Ke Xu, Rong Wang

“…Based on this, this study takes a typical karst region as the study area, and based on the shared socioeconomic pathway (SSP) and representative concentration pathway (RCP) scenarios, the system dynamics (SD) model and the patch-generation land use model (PLUS) are used to simulate the future land use changes, and the spatial and temporal dynamics of the key HESs, such as water yield (WY), soil conservation (SC), and water purification (WP), are assessed. …”
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Stable developmental patterns of gene expression without morphogen gradients. by Maciej Majka, Nils B Becker, Pieter Rein Ten Wolde, Marcin Zagorski, Thomas R Sokolowski

“…The optimal parameter regime found in simulations of the embryo model closely agrees with the predictions of our coarse-grained stability theory. …”
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Low-Shot Weakly Supervised Object Detection for Remote Sensing Images via Part Domination-Based Active Learning and Enhanced Fine-Tuning by Peng Liu, Boxue Huang, Tingting Jin, Hui Long

“…ACRT contributes to refining the model at different active stages, especially for under-performed classes, and to reducing the impact of noisy predictions. …”
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YOLO-MARS: An Enhanced YOLOv8n for Small Object Detection in UAV Aerial Imagery by Guofeng Zhang, Yanfei Peng, Jincheng Li

“…Finally, a dynamic WIoU evaluation function is implemented, constructing adaptive penalty terms based on the spatial distribution characteristics of predicted and ground-truth bounding boxes, thereby optimizing the boundary localization accuracy of densely packed small targets from the UAV viewpoint. …”
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Anomaly Detection in Spatiotemporal Data from Fiber Optic Distributed Temperature Sensing for Outdoor Fire Monitoring by Haitao Bian, Xiaohan Luo, Zhichao Zhu, Xiaowei Zang, Yu Tian

“…Results showed that, compared to AE and VAE models handling spatial or temporal data, the CNN-AE demonstrated superior anomaly detection performance and strong robustness when applied to spatiotemporal data. …”
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A DOFS-Based Approach to Calculate the Height of Water-Flowing Fractured Zone in Overlying Strata under Mining by Chunde Piao, Jinjun Li, Dangliang Wang, Wei Qiao

“…After comparing the height with the abscission layer position in the model test and the predicted height by the empirical formulas in the specification, it has been found that the three results are basically consistent, which in turn verifies the accuracy of this method.…”
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RHS-YOLOv8: A Lightweight Underwater Small Object Detection Algorithm Based on Improved YOLOv8 by Yifan Wei, Jun Tao, Wenjun Wu, Donghua Yuan, Shunzhi Hou

“…Third, Efficient Localization Attention (ELA) is added to reduce the interference of irrelevant factors on prediction. Fourth, an Involution module is introduced to effectively capture spatial long-range relationships and improve recognition accuracy. …”
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Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park by WANG Dinghui, SUONAN Cairang, YU Hongyan, DU Yangong

“…This indicated that the model had a high explanatory power and prediction accuracy for the Shannon-Wiener data. …”
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Load aggregator adjustable capability forecasting based on graph convolution neural network by DONG Lingrui, WU Binyuan

“…Through the message transmission process on the graph, the response characteristics of different clusters could be shared, and both the historical data of the targeted node and other nodes are effectively used to improve the prediction accuracy from both spatial and temporal aspects. …”
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A “Foundation-Function-Structure” Framework for Multiple Scenario Assessment of Land Change-Induced Dynamics in Regional Ecosystem Quality by Yue Pan, Jing Gao, Jianxin Yang

“…This study investigates the spatial-temporal evolution of ecosystem quality in Wuhan from 2000 to 2020 and forecasts future trends under multiple land use scenarios for 2030. …”
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Refining Rainfall Derived from Satellite Radar for Estimating Inflows at Lam Pao Dam, Thailand by Nathaporn Areerachakul, Jaya Kandasamy, Saravanamuthu Vigneswaran, Kittitanapat Bandhonopparat

“…The Kriging method was employed to estimate the spatial distribution of rainfall over the catchment area. …”
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Analysing cold-climate urban heat islands using personal weather station data by Jonathon Taylor, Charles H. Simpson, Jaana Vanhatalo, Hasan Sohail, Oscar Brousse, Clare Heaviside

“…Urban intensification of extreme heat was greater than extreme cold reduction. Practice relevance Urban climate research typically relies on sparse networks of official or researcher-deployed weather stations, interpolations thereof, land-surface temperature observations or urban climate models. …”
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Investigating non fluorescence nanoparticle transport in Matrigel-filled microfluidic devices using synchrotron X-ray scattering by Alberto Martín-Asensio, Irene Pardo, Rocío Mesa, Demian Pardo, Juan P. Fernández-Blázquez, Juan Carlos Martínez-Guil, Milagros Castellanos, Jaime J. Hernández, Álvaro Somoza, Isabel Rodríguez

“…By implementing X-ray scattering to track unmodified nanomedicines within extracellular matrix-like microenvironments, increasingly accurate models for evaluating and predicting therapeutics transport behaviors can be developed.…”
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Tier‐1 and Tier‐2A Scenario Parameterisation and Example Calculations ‐ In Support of the Revision of the Guidance Document on Persistence in Soil under Council Directive 91/414/EE... by European Food Safety Authority

“…The aim of this scheme is to assess such Predicted Environmental Concentrations (PEC), chosen to be the 90th spatial percentile, resulting from the use of the plant protection product. …”
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Eclipse Mapping with MIRI: 2D Map of HD 189733b from 8 μm JWST MIRI LRS Observations by Maura Lally, Ryan C. Challener, Nikole K. Lewis, Julie Inglis, Tiffany Kataria, Heather A. Knutson, Brian M. Kilpatrick, Natasha E. Batalha, Paul Bonney, Ian J. M. Crossfield, Trevor Foote, Gregory W. Henry, David K. Sing, Kevin B. Stevenson, Hannah R. Wakeford, Robert T. Zellem

“…Observations and models of transiting hot Jupiter exoplanets indicate that atmospheric circulation features may cause large spatial flux contrasts across their daysides. …”
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Assessing Clouds in GFDL's AM4.0 With Different Microphysical Parameterizations Using the Satellite Simulator Package COSP by Huan Guo, Levi G. Silvers, David Paynter, Wenhao Dong, Songmiao Fan, Xianwen Jing, Ryan Kramer, Kristopher Rand, Kentaroh Suzuki, Yuying Zhang, Ming Zhao

“…The modeled cloud spatial distributions, vertical profiles, phase partitioning, cloud‐to‐precipitation transitions, and radiative effects compare reasonably well with satellite observations. …”
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Future Dynamics of Drought in Areas at Risk: An Interpretation of RCP Projections on a Regional Scale by Pietro Monforte, Sebastiano Imposa

“…Data were aggregated on a 0.50° × 0.50° spatial grid and bias-corrected using linear scaling. …”
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