Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia by Richard G White, Virginia Bond, Peter J Dodd, Ben Marais, Helen Ayles, Emma J Murray, Kwame Shanaube, Albertus Schaap

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Unraveling the threshold and interaction effects of environmental variables on soil organic carbon mapping in plateau watershed by Chi Zhang, Yiyun Chen, Yujiao Wei, Peiheng Yu, Yongsheng Hong, Yazhen Hu, Jiaxue Wang, Zhou Shi

“…Understanding the spatial distribution and mechanisms driving soil organic carbon (SOC) is crucial for assessing soil carbon stocks and implementing effective carbon sequestration strategies in agricultural landscapes. …”
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Bye-bye, Local-in-matter-density Bias: The Statistics of the Halo Field Are Poorly Determined by the Local Mass Density by Deaglan J. Bartlett, Matthew Ho, Benjamin D. Wandelt

“…Bias models relating the dark matter field to the spatial distribution of halos are widely used in current cosmological analyses. …”
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Sequence to sequence architecture based on hybrid LSTM global and local encoders approach for meteorological factors forecasting by Guoqiang Sun, Yang Zhao, Xiaoyan Qi

“…Traditional models, such as Numerical Weather Prediction (NWP), often face limitations in capturing highly non-linear and chaotic weather patterns, particularly at finer temporal and spatial scales, and they require substantial computational resources. …”
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A Coordinated Allocation Method for Right-Turn Strategy at Signalized Intersections with Optimal Pedestrian and Vehicle Delays by Yu Bai, Wanyan Luo

“…With strict enforcement of pedestrian right of way at all intersections, the inappropriate right-turn resource allocation from a spatial and temporal perspective will lead to a reduction in the operational efficiency of the intersection. …”
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Density Dependence in Large Herbivores Inhabiting an Insular Nature Reserve by Cornelius J. Louw, Francesca Parrini, Jason P. Marshal

“…ABSTRACT While studies often focus on density‐dependent responses of ungulate populations to resource limitations at large spatial scales, the dynamics at smaller scales remain relatively unexplored. …”
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Leveraging Graph Neural Networks for IoT Attack Detection by Mevlüt Uysal, Erdal Özdoğan, Onur Ceran

“…It leverages GNNs to model spatial dependencies and interactions within IoT networks and utilizes XGBoost to distill complex features for predictive analysis. …”
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Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite by Dexin Ren, Jiuhou Lei

“…The data assimilation approach that is based on the self‐consistent upper‐atmosphere model may provide better predictive capability of the coupled thermosphere system. …”
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Time-Series Forecasting Method Based on Hierarchical Spatio-Temporal Attention Mechanism by Zhiguo Xiao, Junli Liu, Xinyao Cao, Ke Wang, Dongni Li, Qian Liu

“…However, the inherent spatio-temporal coupling characteristics and cross-period long-range dependency of sensor data cause traditional time-series prediction methods to face performance bottlenecks in feature decoupling and multi-scale modeling. …”
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Monitoring Land Surface Temperature on Urban Expansion using Normalised Difference Vegetation Index and Google Earth Engine by Nur Suhaili Mansor, Hapini Awang, Chong Kar Min, Anna Bluszcz, Ade Candra, Shakiroh Khamis

“…Despite growing recognition of these impacts, many existing studies rely on static or predictive models that lack spatial precision and real-time monitoring. …”
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Using fishery-related data, scientific expertise, and machine learning to improve marine habitat mapping in northeastern Mediterranean waters by Loukas Katikas, Sofia Reizopoulou, Paraskevi Drakopoulou, Vassiliki Vassilopoulou

“…A validation dataset and georeferenced data from previous studies were used to compare the accuracy and predictive performance of the models. Using this approach, the Saronikos Gulf was enriched with five more habitat types than visualised in the EMODnet portal, which also filled habitat gaps in areas where no data existed. …”
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Anthropogenic Disturbance and Climate Change Impacts on the Suitable Habitat of Sphenomorphus incognitus in China by Kai Chen, Li Ma, Weijun Jiang, Lijin Wang, Li Wei, Hongji Zhang, Ruhao Yang

“…The mean true skill statistic (TSS) and the area under the receiver operating characteristic curve (AUC) suggested that the ensemble model yield more precise predictions than those of individual models. …”
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A Novel Approach for Improving Cloud Liquid Water Content Profiling with Machine Learning by Anas Amaireh, Yan (Rockee) Zhang, Pak Wai Chan, Dusan Zrnic

“…Machine learning (ML) models—specifically Fine Tree regressors—were employed to interpolate radiosonde data, resolving temporal and spatial discrepancies and enhancing data coverage. …”
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Estimating Rainfall Erosivity in North Korea Using Automated Machine Learning: Insights into Regional Soil Erosion Risks by Jeongho Han, Seoro Lee

“…Using the optimized model, RE in North Korea was estimated, and the spatial distribution of RE was analyzed using the Kriging interpolation. …”
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A Novel Lightweight Framework for Non-Contact Broiler Face Identification in Intensive Farming by Bin Gao, Yongmin Guo, Pengshen Zheng, Kaisi Yang, Changxi Chen

“…Experimental evaluations on a self-constructed dataset demonstrate that YOLO-IFSC achieves a mAP@0.5 of 91.5%, alongside a 40.8% reduction in parameters and a 24.2% reduction in FLOPs compared to the baseline, with a consistent real-time inference speed of 36.6 FPS. …”
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Synchronized Multi-Laser Powder Bed Fusion (M-LPBF) Additive Manufacturing: A Technique for Controlling the Microstructure of Ti–6Al–4V by Hamed Attariani, Shayna Renay Petitjean, Aaron Michael Niekamp

“…An anisotropic heat transfer model is employed to obtain the temporal/spatial temperature distributions and construct the solidification map for various process parameters, i.e., laser power, scanning speed, and the internal distance among lasers in the array. …”
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FlyLimbTracker: An active contour based approach for leg segment tracking in unmarked, freely behaving Drosophila. by Virginie Uhlmann, Pavan Ramdya, Ricard Delgado-Gonzalo, Richard Benton, Michael Unser

“…We show that this approach yields a more than 6-fold reduction in user intervention when compared with fully manual annotation and can be used to annotate videos with low spatial or temporal resolution for a variety of locomotor and grooming behaviors. …”
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Assessment of the Performance of SWOT for Observing the Static Ocean Topography by Bjarke Nilsson, Ole Baltazar Andersen, Per Knudsen

“…We observe a 50% reduction in variability of the static surface compared with Sentinel‐3, whilst resolving up to 36% shorter wavelengths (down to ∼8 km) compared to the current state‐of‐the‐art Hybrid23 MSS reference model. …”
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MACHINE LEARNING TECHNIQUES IN DETERMINING LAND SUITABLE FOR CEREAL CROPS IN IKERE EKITI, EKITI STATE, SOUTHWESTERN NIGERIA. by Ijaware Victor Ayodele, Kehinde Ruth Aniyikaye

“…Moreover, these data were processed with the aid of ArcGIS 10.7 Software and Machine Learning algorithm was used in predicting areas suitable for cereals crops. Results: The results revealed significant spatial variations in land suitability across Ikere Ekiti, with the machine learning models successfully identifying highly suitable zones for cereals crops. …”
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Ecological Zoning Based on Suitability Evaluation of Ecological Product Development from the Value-Risk-Cost-Demand Perspective by Ming Gao, Pei Du, Xinxin Zhou, Zhenxia Liu, Wen Luo, Zhaoyuan Yu, Linwang Yuan

“…The findings suggest that the integrated assessment model proposed in this study has produced more reasonable outcomes in terms of spatial layout, land use area, reduction of fragmentation and ecological risk. …”
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