Modeling compaction effects on soil water retention across the full moisture range: Calibration and validation by Andre Peters, Zhengchao Tian, Joshua L. Heitman, Sascha C. Iden, Lennart Rolfes, Kai Germer, Marco Lorenz

“…Remarkably, the variant with only one adjustable parameter, the one that shifts the pore‐size distribution by scaling the pressure head, was sufficient to accurately describe the data. …”
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Experiment and Analytical Model for Pore Structure of Early-Age Composite Cement Pastes by LF-NMR by Jincheng Wu, Guo Yang, Bin Hong, Xiaolin Liu

“…In order to better fit the experimental data, a bimodal model integrating Shimomura and Maekawa’s model with the Weibull distribution function was introduced to describe the pore structure of cement pastes with or without fly ash, slag, and silica fume.…”
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Machine learning-based risk prediction model for pertussis in children: a multicenter retrospective study by Juan Xie, Run-wei Ma, Yu-jing Feng, Yuan Qiao, Hong-yan Zhu, Xing-ping Tao, Wen-juan Chen, Cong-yun Liu, Tan Li, Kai Liu, Li-ming Cheng

“…At the same time, this study aims to provide a rapid and accurate auxiliary diagnostic tool for clinical practice to help identify high-risk patients in a timely manner, optimize early intervention strategies, reduce the risk of complications and reduce transmission, thereby improving the efficiency of public health management. Methods First, data from 1085 suspected pertussis patients from 7 centers were collected, and ten key features were analyzed using the lasso regression and Boruta algorithm: PDW-MPV-RATIO, SII, white blood cells, platelet distribution width, mean platelet volume, lymphocytes, cough duration, vaccination, fever, and lytic lymphocytes.Eight models were then trained and validated to assess their performance and to confirm their generalization ability with external datasets based on these features. …”
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Application of compound poisson model to estimate underreported risk of non-communicable diseases in underdeveloped areas by Hongli Wan, Wenhui Zhu, Jingmin Yan, Xinyue Han, Jie Yu, Qiang Liao, Tao Zhang

“…Methods: Assuming the true number of patients in each area follows a Poisson distribution, we applied a Compound Poisson Model based on Clustering of Data Quality (CPM-CDQ) to estimate the potential true prevalence of hypertension and diabetes, as well as the registration rate of existing patients. …”
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An artificial EMG generation model based on signal-dependent noise and related application to motion classification. by Akira Furui, Hideaki Hayashi, Go Nakamura, Takaaki Chin, Toshio Tsuji

“…In the proposed model, an EMG signal variance value is first generated from a probability distribution with a shape determined by a commanded muscle force and signal-dependent noise. …”
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METHOD FOR NUMERICAL MODELING OF UNSTEADY SEPARATED FLOW AROUND AIRFOILS MOVING CLOSE TO FLAT SCREEN by T. V. Pogrebnaya, S. D. Shipilov

“…Three different ways of flow modeling (mirror method, fixed or movable screens) were tested. …”
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Deep Learning Model Size Performance Evaluation for Lightning Whistler Detection on Arase Satellite Dataset by I Made Agus Dwi Suarjaya, Desy Purnami Singgih Putri, Yuji Tanaka, Fajar Purnama, I Putu Agung Bayupati, Linawati, Yoshiya Kasahara, Shoya Matsuda, Yoshizumi Miyoshi, Iku Shinohara

“…We experimented with various model sizes, adjusting epochs, and conducted performance analysis using a partial set of labeled data. …”
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Development and application of an early prediction model for risk of bloodstream infection based on real-world study by Xiefei Hu, Shenshen Zhi, Yang Li, Yuming Cheng, Haiping Fan, Haorong Li, Zihao Meng, Jiaxin Xie, Shu Tang, Wei Li

“…The data were divided into a modeling dataset and an external validation dataset based on chronological order, while the modeling dataset was further divided into a training set and an internal validation set. …”
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Numerical modeling of coupled electromagnetic and thermal processes in the zone induction heating system for metal billets by V. Yu. Grytsiuk, M. A. M. Yassin

“…Data on the spatial distribution of the electromagnetic and temperature fields in the moving heated steel billet were obtained. …”
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Improved 3D velocity model for determining aftershock locations of the 2015 Gorkha, Nepal Earthquake by Chintan Timsina, James Mori, Masumi Yamada, Shiro Ohmi

“…This study presents an improved 3D velocity model derived through tomographic inversion using data from the NAMASTE network, comprising 42 seismic stations that recorded aftershocks from June 2015 to May 2016. …”
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GraspLDM: Generative 6-DoF Grasp Synthesis Using Latent Diffusion Models by Kuldeep R. Barad, Andrej Orsula, Antoine Richard, Jan Dentler, Miguel A. Olivares-Mendez, Carol Martinez

“…A practical grasp synthesis system is required to generate a diverse set of 6-DoF grasps from which a task-relevant grasp can be executed. Although generative models are suitable for learning such complex data distributions, existing models have limitations in grasp quality, long training times, and a lack of flexibility for task-specific generation. …”
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Application of Iterative Updating Geological Modeling Method in Geological Guidance of Shale Oil Horizontal Wells by LI Zhihong, LEI Qihong, WU Yingzhang, HE Youan, CHENG Hao, WANG Bo, ZHOU Jingping, ZHAO Yi

“…In order to further improve the oil layer encounter rate of shale oil horizontal wells, the method combines geological, logging, well-logging and 3D seismic data to select the optimal well-seismic integration modeling method, establishes a fine structural model, rock facies model and attribute model, and quantitatively represents the spatial distribution characteristics of shale oil drilling platform geological sweet spots in three-dimensional space. …”
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Exploring the Cloud Top Phase Partitioning in Different Cloud Types Using Active and Passive Satellite Sensors by Olimpia Bruno, Corinna Hoose, Trude Storelvmo, Quentin Coopman, Martin Stengel

“…Despite the warm bias in cloud top temperature of the passive sensor compared to the active sensor and the phase mismatch in collocated data, all datasets indicate, at the same height‐level, an increase of SLF with cloud optical thickness, and generally larger SLF in the Southern Hemisphere than in the Northern Hemisphere (up to about 20% difference), with the exception of continental low‐level clouds, for which the opposite is true.…”
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Optimal control strategies supported by system dynamics modelling: a study on hookworm disease in China by Huihui Zhu, Jinxin Zheng, Jilei Huang, Mizhen Zhang, Changhai Zhou, Tingjun Zhu, Hongchun Tian, Xiaohong Wu, Yang Liu, Bo Zhong, Hong Xie, Liping Zhang, Lei Tie, Jingwen Luo, Xiaoqin Mao, Bin Zhang, Xiu Deng, Suping Zhang, Menbao Qian, Shizhu Li, Xiaonong Zhou

“…Generalized linear models were constructed from simulation data, accounting for the impact of survey sites. …”
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Helicobacter pylori, gastric cancer and socioeconomic factors in an urban area: Evaluating the strengths and limitations of spatial analysis by Stephanie Strobl, Giovenale Moirano

“…Objective: Spatial epidemiology provides a valuable opportunity to utilize routinely collected clinical data for analyzing disease distribution. This study evaluates the potential of such data to model the geographical distribution of Helicobacter pylori (H. pylori) colonization and gastric cancer in Mainz, Germany. …”
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Analysis on Spatiotemporal Variation in Soil Drought and Its Influencing Factors in Hebei Province from 2001 to 2020 by Biao Zeng, Bo Wen, Xia Zhang, Suya Zhao, Guofei Shang, Shixin An, Zhe Li

“…Based on soil moisture data, this paper uses the cumulative anomaly method, coefficient of variation, Sen + Mann–Kendall trend analysis, and center of gravity shift model to study the spatiotemporal changes in soil drought in Hebei Province from 2001 to 2020 and uses the optimal parameter geographic detector model to analyze the key factors affecting soil drought. …”
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Strain Decay Monitoring and Analytical Prediction of RC Columns Using Brillouin Optical Technology and Time-Dependent Deterioration Factor by Ittipon Pasityothin, Phromphat Thansirichaisree, Apichat Buatik, Thanongsak Imjai, Radhika Sridhar, Reyes Garcia, Takafumi Noguchi

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Path planning method for maritime dynamic target search based on improved GBNN by Zhaozhen Jiang, Xuehai Sun, Wenlon Wang, Shuzeng Zhou, Qiang Li, Lianglong Da

“…Firstly, the motion model of the searcher and the capability model of sonar detection are established, and the dynamic motion characteristics of the target are analyzed. …”
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Multi-Task Image Restoration Algorithm Under Different Weather Influence Factors by Lingwen Meng, Mingyong Xin, Junwei Zhang, Fu Zou, Qingqing Zhao

“…Furthermore, we address the distribution shift problem by aligning out-of-distribution (OOD) test sample statistics with those of the source data using test-time prompt tuning. …”
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The Assessment of Kermanshah Wind Potential by Somayeh Rafati, Mostafa Karimi

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