PreMevE Update: Forecasting Ultra‐Relativistic Electrons Inside Earth's Outer Radiation Belt by Saurabh Sinha, Yue Chen, Youzuo Lin, Rafael Pires de Lima

“…All models are individually trained, validated, and tested by in situ electron data from NASA's Van Allen Probes mission. …”
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Projections of the Stroke Burden at the Global, Regional, and National Levels up to 2050 Based on the Global Burden of Disease Study 2021 by Yiran Cheng, Yongqi Lin, Hujuan Shi, Mingmei Cheng, Baoliang Zhang, Xiaofeng Liu, Chuan Shi, Yanzhong Wang, Chunhua Xia, Wanqing Xie

“…The temporal trends of stroke burden were estimated using various regression models. Gross domestic product per capita was adopted as a predictor in the model to consider the impact of economic development on stroke burden. …”
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Monitoring and Prediction Analysis of Settlement for the Substation on Soft Clay Foundation by Qingwei Chen, Zhen Yang, Binglei Xue, Zhipeng Wang, Dan Xie

“…The rationality of the numerical method is validated by comparison with the measured data. After improving the soft clay ground with the cement-soil deep mixing method, there are still certain degrees of cumulative and differential settlements in the substation distribution device building, but both are within the specification requirements. …”
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Prediction and Driving Study of Prunus armeniaca L. Habitat in the Yili River Valley under the Background of Climate Change by Ning Ang, Chen Wanji, Zhao Yang, Cui Wenbing, Saydahmat Muyassar, Akberjan Erfan

“…Based on the above methods, the following results were obtained: (1) The MaxEnt Model simulated the geographic distribution of Prunus armeniaca L. with high accuracy and an AUC value of 0.969, and the area of the currently suitable area for Prunus armeniaca L. in the Yili River Valley was about 10407.77 km2, accounting for about 18.45% of the overall land area of the Yili River Valley; the area of the highly suitable area was about 1380.9 km², accounting for about 13 .26%, the area of the medium suitable zone is about 2830.15km², and the area of low suitable zone is about 6196.05km.² (2) The maximum increase in the total area of the suitable zone under the future low -radiation forcing scenario is 11.49%, and the minimum increase under the future medium-high forcing scenario is 4.94%. (3) The overall migration was in the southwest direction, with the largest migration angle under the SSP245 scenario and the largest migration distance under the SSP585 scenario. …”
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Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

“…Additionally, it discusses key issues faced by multi-robot SLAM in complex agricultural scenarios, such as low accuracy in mapping and localization during multi-sensor fusion, restricted communication environments during multi-robot collaborative operations, and low accuracy in relative pose estimation between robots.…”
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Quantitative Analysis of Carbon Emission from Power Transmission and Transformation Projects Based on GHGP Standard System by Feng ZHANG, Jishuang JIANG, Chao LI, Zhixiang XIA, Li DAI, Kaige WANG, Mengxiang FANG, Zhongyang LUO

“…Quantitative analysis of carbon emission due to power transmission and transformation project construction is the premise and basis of green low-carbon implementation of the project. Based on quantification framework and data processing method according to the GHGP standards, a common hierarchic quantization model and a boundary optimization model for power transmission and transformation engineering construction are developed in this paper, in addition, the behavior of carbon emission from transmission and transformation project construction is analyzed and optimized through hierarchical quantification based on the sub-projects, material flow and energy flow activities by taking a certain 500 kV substation project as an example. …”
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Unified Probabilistic and Similarity-Based Position Estimation from Radio Observations by Max Werner, Markus Bullmann, Toni Fetzer, Frank Deinzer

“…Instead of just providing a point estimate for a given signal sequence, our model returns the distribution of possible positions as continuous probability density function, which allows for appropriate integration into recursive state estimation systems. …”
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旋转圆盘腔壁面油膜运动特性分析 by 万然, 张永红, 陈国定, 刘阳, 郁丽

“…A rotating disk cavity-the topology structure of simplified aero-engines bearing chamber is employed to analyze the formation and movement characteristics of oil film.Considering oil droplets gravity and air resistance,the oil droplet movement equitation,oil deposition and oil film movement model are built based on the data of the gas phase gained by CFD software,the impacts of the disk cavity structure and operating conditions on the movement of the oil film is discussed.The results indicate the movement directions of oil film on left and right side chamber wall are different,and the distribution of oil film thickness and mean velocity along wall circumferential direction is notable difference,the structure of the disk cavity and oil supply quantity play significant roles on the movement and thickness of the oil film,especially for low rotor speed.…”
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Residential Density and Illegal Waste Dumping In Cities by Mahamba C, and Ruhiiga TM

“…The a p-value of 0.000 being less than al- pha 0.05 shows that the model is a good fit for the data indicating a statistical significance between predictor variables and the size of IWD’s. …”
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Improved simulation of thunderstorm characteristics and polarimetric signatures with LIMA two-moment microphysics in AROME by C. David, C. Augros, B. Vié, F. Bouttier, T. Le Bastard

“…To better understand the discrepancies, synthetic radar data simulated by a radar forward operator (applied to model outputs) are usually compared to dual-polarization radar observations, as they provide insight into the microphysical structure of clouds. …”
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COPD-MMDDxNet: a multimodal deep learning framework for accurate COPD diagnosis using electronic medical records by Yuanyuan Yi, Lei Shi, Haoran Liu, Mingyu Wang, Min Feng, Yanxia Li

“…These innovations significantly enhance the model's ability to capture complex cross-modal relationships, thereby improving diagnostic accuracy.The dataset used in this study comprises 800 COPD patients, with a balanced age and sex distribution, and data were collected over a 24-month period. …”
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Canned Apple Fruit Freshness Detection Using Hybrid Convolutional Neural Network and Transfer Learning by Mudasar Iqbal, Syed Tahseen Haider, Rana Saud Shoukat, Saif Ur Rehman, Khalid Mahmood, Santos Gracia Villar, Luis Alonso Dzul Lopez, Imran Ashraf

“…The proposed technique involves data collection of apple fruit, image segmentation, and preprocessing, creating the neural network model, training the network model, and testing for apple freshness prediction. …”
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Unveiling the Spatial Coupling Dynamics and Coordination Mechanisms Between Digital Inclusive Finance and Rural Industrial Integration Development by Yun Shen, Yanxi Jing, Yiyue Liu

“…This study examines the coupling coordination between digital inclusive finance (DIF) and rural industrial integration development (RIID) in China from 2011 to 2021, using panel data from 282 prefecture-level cities. By employing the coupling coordination model and entropy method, the research analyzes the spatiotemporal evolution and regional disparities of DIF and RIID. …”
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Study on the driving mechanisms of spatiotemporal nonstationarity of vegetation dynamics in Heilongjiang Province by Weidong Chen, Lei Shi

“…The global Moran’s I index indicates that FVC exhibits a highly spatially concentrated distribution. Local Moran’s I analysis primarily reveals two clustering patterns: “high-high” and “low-low” aggregations.(3) Random Forest SHAP analysis identified altitude, land cover type, evapotranspiration (ET), and slope as primary factors influencing FVC. …”
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Crustal structure of the Moon determined from short-period Rayleigh wave analysis by Victor Corchete

“…While the present S-velocity model contributes to lunar crustal structure determination, more research is needed to precisely determine this structure, which will be possible when higher-quality data are acquired in future missions. …”
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Controlled Service Scheduling Scheme for User-Centric Software-Defined Network- Based Internet of Things by Mohammed Albekairi

“…This scheme achieves a high scheduling rate for maximizing service distributions under controlled delay. The experimental findings show that compared to the current models, the suggested method improves the scheduling rate by 13.92%, increases the distribution of services by 8.31%, and decreases delays by 11.58%. …”
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Assessing soil erosion potential for prioritization of land risk area in the Sala watershed of Ari zone, South Ethiopia by Woldeyes Debebe, Teshome Yirgu, Mulugeta Debele

“…Soil sampling and topographic data were the primary sources of data. The secondary sources were satellite imagery and meteorological data. …”
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Prevalence and determinants of cervical cancer screening among women aged 15–49 years in Tanzania: analysis of demographic and health survey 2022 by Gladys Reuben Mahiti, Jovinary Adam, Pankras Luoga

“…Data were weighted using the individual weight for women (v005/1,000,000) according to DHS guidelines. …”
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Using machine learning algorithms to predict colorectal cancer by Xingjian Xiao, Bo Hong, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Shiyou Liu, Xianglong Xu

“…However, the colonoscopy examination rate among middle-aged and elderly adults is very low. As of 2020, the colonoscopy examination rate in China was 914.8 per 100,000 people, and the distribution across regions was extremely uneven. …”
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Random uncertain motor parameters identification combining fourth-order moment and trust region by Wengui Mao, Congcong Liao, Jie Guo, Xuemei Wu, Jianhua Li

“…Abstract In random uncertain motor parameter identification field, there is low identification efficiency and ill-conditioned data coming from the second iteration involved in the uncertainty propagation and surrogate model between the motor parameters and the performance response. …”
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