Probability Evaluation Study of Soil Erosion Types in the Songhua River Basin Based on Deep Learning and Gaussian Kernel Density Estimation by XING Zhenxiang, WANG Jiaqi, ZHANG Hongxue, SONG Jian, WANG Yinan, DUAN Weiyi, GONG Ming, HUANG Changli

“…Using three erosion modulus influencing factors, namely rainfall, air temperature and wind speed, as random variables, numerical simulation and Gaussian Kernel Density Estimation (GKDE) were used to construct the EM probability evaluation method, which gives the probability of occurrence of different combinations of soil erosion intensities. …”
Get full text

Seismic Reliability Analysis of Highway Pile–Plate Structures Considering Dual Stochasticity of Parameters and Excitation via Probability Density Evolution by Liang Huang, Ge Li, Chaowei Du, Yujian Guan, Shizhan Xu, Shuaitao Li

“…The paper innovatively studies the impact of dual randomness of structural parameters and seismic excitation on the seismic reliability of highway pile–slab structures using the probability density evolution method. A nonlinear stochastic dynamic model was established through the platform, integrating, for the first time, the randomness of concrete material properties and seismic motion variability. …”
Get full text

Causal association between PM2.5 and metabolic syndrome in the Chinese elderly population-insights from a cohort study of CHARLS by Xianglong Liu, Fan Ding, Jiayi Tian, Jie Wu, Shi Zhao, Yu Zhao

“…Subsequently, the directed acyclic graphs was used to control confonding, then instrumental variable method and fixed effects model were employed to evaluate the causal relationship between PM2.5 and MS components and the moderating effect of PE. …”
Get full text

The Effects of Facies Variability and Bioturbation Intensity on Permeability in a Mixed Siliciclastic–Carbonate Core from the Upper Strawn Group, Katz Field, Eastern Shelf of the P... by Jerry L. Jensen, Peter P. Flaig, Kelly E. Hattori

“…We structured our sampling to record permeability changes related to facies variability and fluctuating bioturbation intensity. …”
Get full text

Novel Data-Driven PDF Modeling in FGM Method Based on Sparse Turbulent Flame Data by Guihua Zhang, Jiayue Liu, Yuxin Wu, Guangxi Yue

“…However, the model’s ability to capture turbulent combustion interactions is limited by the shape of the presumed probability density function (PDF) of the mixture fraction and progress variable. …”
Get full text

Analytical methods for assessing the quality of sugarcane bagasse compost and improving the physicomechanical properties toward densification by Ehsan Sarlaki, Mohammad Hossein Kianmehr, Marzieh Ghorbani

“…To this end, an experimental design in the form of factorial design (D-optimal) was used to assess the significance and optimization of the effects of moisture content of SCBs (8, 12, and 16 w.b.%) and screen opening size (1, 2.5, and 4 mm) and rotational speed (1400 and 2000 rpm) of hammer-attrition mill as independent variables on specific energy consumption and bulk density as design responses.Results and discussion: The results obtained from chemical analysis exhibited that the properties of SBCs are in accordance with existing standards. …”
Get full text

Cross-field strength and multi-vendor reliability of MagDensity for MRI-based quantitative breast density analysis. by Jia Ying, Renee Cattell, Chuan Huang

“…<h4>Purpose</h4>Breast density (BD) is a significant risk factor for breast cancer, yet current assessment methods lack automation, quantification, and cross-platform consistency. …”
Get full text

Public health engagement in alcohol licensing in England and Scotland: the ExILEnS mixed-method, natural experiment evaluation by Niamh Fitzgerald, Matt Egan, Rachel O’Donnell, James Nicholls, Laura Mahon, Frank de Vocht, Cheryl McQuire, Colin Angus, Richard Purves, Madeleine Henney, Andrea Mohan, Nason Maani, Niamh Shortt, Linda Bauld

Get full text

Nonlinear relationship between lumbar bone mineral density and high-density lipoprotein cholesterol in patients with type 2 diabetes by Yu-Hua He, Shi-Li Gu, Yang-Yang Chen, Ming-Mei Xue, Su-Juan Liu, Fang-Fang Guo, Chang-Hua Liang

“…Statistical analyses employed comprehensive methods: univariate analysis to examine initial variable relationships, generalized additive models for non-linear curve fitting, segmented regression for threshold effects, stratified subgroup analysis to explore potential effect modifications, and mediation analysis to explore potential indirect effect mechanisms.ResultsThis work revealed that after controlling confounding factors, an independent nonlinear correlation was observed between lumbar BMD and serum HDL-C in T2DM patients. …”
Get full text

Validation of a semi-automated method to quantify lesion volume changes in multiple sclerosis on 2D proton-density-weighted scans based on image subtraction by Rozemarijn M. Mattiesing, Serena Stel, Alysha S. Mangroe, Iman Brouwer, Adriaan Versteeg, Ronald A. van Schijndel, Bernard M.J. Uitdehaag, Frederik Barkhof, Hugo Vrenken, Joost P.A. Kuijer

“…Therefore, we developed and validated a semi-automated method to quantify lesion volume changes based on 2D proton-density (PD)-weighted images and image subtraction. …”
Get full text

Residential Density and Illegal Waste Dumping In Cities by Mahamba C, and Ruhiiga TM

“…Tests for normal distribution and for multicollinearity were carried on a set of predictor variables on size and location attributes, waste collection service, residential housing density, waste volumes and disposal practices. …”
Get full text

Taste evaluation of Chinese oolong tea “Baiyaqilan” based on physiological signals and multivariate statistics by YANG Bo-kai, SHEN Li-juan, YANG Jing-min

“…<b>Objective:</b> Investigate young people's taste preference for white bud kiran tea and design tea drinks accordingly. <b>Methods:</b> Design a combination of electroencephalogram （EEG）, electrodermal activity （EDA）, heart rate variability （HRV） multivariate statistical analysis and sensory evaluation to allow 24 subjects （12 of each gender） to evaluate the taste preference of seven batches of white bud kiran tea of different grams and brewing lengths. …”
Get full text

Modeling and optimization control of SOEC with flexible adjustment capabilities by Yaqing He, Weiqing Wang, Yingtian Chi, Jiarong Li, Xinyan Zhang, Bowen Liu, Yuanpeng Wang

“…The simulation analysis of SOEC hydrogen production adopting a variable load operation has demonstrated the advantages of this method over conventional PID control in stabilizing the temperature of the stack. …”
Get full text

Short-Block Polar-Coded Reverse and Direct Reconciliation in CV-QKD by Dingzhao Wang, Xin Liu, Chao Xu, Soon Xin Ng, Lajos Hanzo

“…Continuous-variable quantum key distribution (CV-QKD) is a promising technique of supporting quantum-safe wireless networks in the emerging 6 G era, mapping quantum information onto the amplitude or phase of electromagnetic waves. …”
Get full text

Numerical modeling of delamination in composite panel under low-velocity contact with hail by V.T. Le, Т. V. Burnysheva

“…Statistical data processing methods were applied to determine the variability intervals and average values of the elastic modulus for each interval at a freezing temperature of –20°C. …”
Get full text

Modeling the density of chlorinated brines with nonlinear multivariate regressions by Mauricio Sepúlveda, Thierry Bertrand De Saint Pierre Sarrut, Andrés Soto-Bubert, Rashmi Bhardwaj, Roberto Acevedo

“…It is concluded that it is possible to generate nonlinear multivariate density regressions for single-component brines and to deduce the behavior of the variables from these models. …”
Get full text

Kernel Density Estimation for Joint Scrambling in Sensitive Surveys by Alvan Caleb Arulandu, Sat Gupta

“…Randomized response models aim to protect respondent privacy when sampling sensitive variables but consequently compromise estimator efficiency. …”
Get full text

Noise Levels Due to Commercial and Leisure Activities in Urban Areas: Experimental Validation of a Numerical Model Fed with Crowd Density Estimation Using Computer Vision by Óscar Ramón-Turner, Jacob D. R. Bordón, Asunción González-Rodríguez, Javier Lorenzo-Navarro, Modesto Castrillón-Santana, Guillermo M. Álamo, Román Quevedo-Reina, Carlos Romero-Sánchez, Antonio T. Ester-Sánchez, Cristina Medina, Fidel García, Orlando Maeso, Juan J. Aznárez

Get full text

Significance of microvessel density in prostate cancer core biopsy by Salapura-Dugonjić Aleksandra, Knežević-Ušaj Slavica, Eri Živka, Tadić-Latinović Ljiljana

“…A statistically significant positive correlation was found when determining correlation between microvessel density (as linear and categorical variable, i.e. with the cut-off value of 48) that was associated with the Gleason score (p < 0.05) and tumor stage (p < 0.0001). …”
Get full text

Predictability of tropical cyclone track density in S2S reforecast by Chi Lok Loi, Kai-Chih Tseng, Chun-Chieh Wu

“…Abstract In this study, we examine the predictability of tropical cyclone (TC) track density in the subseasonal-to-seasonal (S2S) reforecast ensembles of the European Centre for Medium-range Weather Forecasts (ECMWF) using the method of average predictability time (APT). …”
Get full text