Evaluation and Error Correction of the ECMWF Subseasonal Precipitation Forecast over Eastern China during Summer by Huanran He, Suxiang Yao, Anning Huang, Kejian Gong

“…In this study, the European Center for Medium-Range Weather Forecasts (ECMWF) model hindcast, which participates in the S2S prediction project, is systematically assessed by focusing on the hindcast quality for the summer accumulated ten-day precipitation at lead times of 0–30 days during 1995–2014 in eastern China. …”
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Investigating Mortality Uncertainty Using the Block Bootstrap by Xiaoming Liu, W. John Braun

“…This paper proposes a block bootstrap method for measuring mortality risk under the Lee-Carter model framework. In order to take account of all sources of risk (the process risk, the parameter risk, and the model risk) properly, a block bootstrap is needed to cope with the spatial dependence found in the residuals. …”
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Geomorphology and Hydroclimate Control Regional Urban Expansion by Serena Ceola, Giulia Grandi, Enrico Bertuzzo

“…The fractal size distribution of urban clusters is satisfactorily reproduced by our model, which further confirms its validity. We discuss how our methodology could be a key contribution for analyzing and predicting the spatial dynamics of urban expansion in different regions of the globe. …”
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Engineering growth factor gradients to drive spatiotemporal tissue patterning in organ-on-a-chip systems by Timothy Hopkins, Swati Midha, Simon Grossemy, Hazel R. C. Screen, Angus K. T. Wann, Martin M. Knight

“…Spatial heterogeneity plays a key role in the development and function of human tissues and therefore needs to be incorporated within in vitro models to maximise physiological relevance and predictive power. …”
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Three‒Dimensional Numerical Simulation of the Breaching Process of Landslide Dams with Heterogeneous Structures by HU Xianrui, PENG Ming, FU Xiaoli, YANG Ge, ZHU Yan, SHI Zhenming, ZHANG Gongding

“…With prediction errors maintained within 10% under complex experimental conditions, this model provides a robust tool for enhancing risk assessments and emergency planning in regions prone to landslide dam breaches.…”
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Optimization Design and Test Analysis of Rice Electric Binder Knotter Based on ADAMS by Difa Bao, Jufei Wang, Zhi Liang, Chongcheng Chen, Wuxiong Weng, Shuhe Zheng, Jinbo Ren

“…Based on the ADAMS software, a simulation model of the knotter operation was constructed. Using the Box–Behnken design (BBD) method and response surface analysis of variance, a regression prediction model for knotter operation evaluation indicators was established, and the multi-objective optimization of the knotter’s operation quality was performed. …”
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Specific island biogeographic and landscape features shape plant diversity and habitat specialism on edaphic quartz islands in an arid ocean by Pia Maria Eibes, Ute Schmiedel, Jens Oldeland, Severin David Howard Irl

“…Including measures of landscape features, (e.g. matrix contrast) improved the predictive power of several models. However, distance-based isolation measures had little explanatory value in relation to the observed variance. …”
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Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size. by Valter Cesar de Souza, Sergio Augusto Rodrigues, Luís Roberto Almeida Gabriel Filho

“…Future research should explore the effectiveness of various imputation methods in diverse climatic and geographical contexts, as well as develop new techniques considering the temporal and spatial structure of meteorological data, to advance understanding and climate prediction.…”
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Research on carbon compensation zoning guided by major function zones: A case study of the Yangtze River Delta region by Rui Shen, Yinan Yang, Jialong Xu, Li Wang, Yuhang Jiang, Yujing Xie, Yuan Wang

“…Observing spatial inequities in carbon dynamics at fine scales is critical for formulating precise zoning policies and emission reduction strategies. …”
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A lightweight mechanism for vision-transformer-based object detection by Yanming Ye, Qiang Sun, Kailong Cheng, Xingfa Shen, Dongjing Wang

“…This design reduces the computational complexity from quadratic to linear while preserving spatial context awareness. XFCOS enhances the original TSP-FCOS (Transformer-based Set Prediction with FCOS) model by integrating XFA into the transformer encoder, creating a CNN-ViT hybrid architecture, significantly reducing computational costs without sacrificing accuracy. …”
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A novel on-line dual sensing system for soil property measurement and mapping by Rukayat Afolake Oladipupo, Muhammad Abdul Munnaf, Parsat Sanganta, Ajit Borundia, Abdul Mounem Mouazen

“…Besides, the vis-NIRS demonstrates very good prediction accuracies for all the fertility attributes with R2 = 0.70–0.78, root mean square error (RMSE) =0.52–2.46 %, residual of prediction deviation (RPD) = 1.89–2.13 and the ratio of the performance to interquartile distance (RPIQ) = 1.72 – 6.56. …”
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CNN-GRU Battery SOC Estimation Method Fused with Attention Mechanism for Electric Multiple Units by WANG Shenghui, TIAN Qin, LIU Lihao, FENG Enlai, YU Tianjian

“…To precisely estimate the SOC of small-sample battery cycling data, this paper transforms the continuous regression model into a classification problem, discretizes the battery SOC ranges, and converts the final prediction result into discrete SOC values. …”
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Spatiotemporal evaluation of irrigation groundwater quality in Hungarian agricultural sites using hydrochemical and machine learning approaches by Musaab A. A. Mohammed, Norbert P. Szabó, Viktória Mikita, Péter Szűcs

“…Groundwater samples from the Debrecen area (2019–2024) were analyzed using Hierarchical Cluster Analysis (HCA), irrigation indices (SAR, Na%, IWQI), and Self-Organizing Maps (SOMs) to understand spatial and temporal patterns. A Convolutional Neural Network (CNN) model was developed to predict IWQI from key water quality parameters, aiming to reduce manual calculation errors. …”
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Using Random Forest to Improve the Downscaling of Global Livestock Census Data. by Gaëlle Nicolas, Timothy P Robinson, G R William Wint, Giulia Conchedda, Giuseppina Cinardi, Marius Gilbert

“…RF models consistently provided better predictions than the stratified regressions for both continents and species. …”
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Explainable Machine Learning for Mapping Rainfall-Induced Landslide Thresholds in Italy by Xiangyu Shao, Wenjun Yan, Chaoying Yan, Wen Zhao, Yixuan Wang, Xia Shi, Hongchang Dong, Tianjiang Li, Junpo Yu, Peng Zuo, Zeyu Zhou, Jiming Jin

“…Explainable machine learning methods can address these challenges, but they are rarely applied to rainfall threshold modeling. In this study, we compared the performance of an empirical statistical model and machine learning models for predicting rainfall-induced landslides in Italy. …”
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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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Spatiotemporal characteristics and multi-scenario simulation of territorial space carbon sink conflicts in the Sichuan-Yunnan ecological barrier region, China by Weijie Li, Yong Wang

“…The study found that (1) the level of TSCSC gradually decreased from 2000 to 2020, and showed a spatial pattern of declining from the northeast to the southwest. (2) The rising areas of the TSCSC were clustered in the hilly areas of the northwest and the urban-rural interface of Chengdu, which is derived from cultivated land reclamation and urban land expansion. (3) In 2050, the carbon emission reduction scenario had the lowest the TSCSC value, which is regarded as the optimal model for alleviating the coercive effect of spatial conflicts on carbon balance. …”
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The role of chromosomal rearrangements, polyploidy, and genome size variation in the diversity and ecological distribution of Asparagus L. species: a landscape cytogenetics meta-an... by Parisa Fouroutan, Masoud Sheidai, Fahimeh Koohdar

“…We used Bioclim and Maxent species distribution models (SDMs) to predict and identify areas suitable for selected Asparagus species in response to climate change by 2050. …”
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Detection and interpretation of the time-varying seasonal signals in China with multi-geodetic measurements by Liansheng Deng, Yugang Xiao, Qusen Chen, Wei Peng, Zhao Li, Hua Chen, Zhiwen Wu

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