Research of Parameterization and Optimization of Shaped-profile and Size of Circular Arc Rotor Pair for Roots Pump by Li Yulong, Zhang Chenhe, Ran Guangze

“…Then,from pitch circle radius and shape coefficient as two design variables,the minimum wrapping cube space volume of rotor pair as an objective function,the upper limit of the shape coefficient and rounded-value of center distance and the diameter ratio of the rotor and other as constraint functions. …”
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The effect of early childhood stature on later cognitive functions in Indonesian adolescents: comparation using the National growth reference and the WHO growth standard by Annang Giri Moelyo, Aman B. Pulungan, Mei Neni Sitaresmi, Madarina Julia

“…In adolescence, cognitive function were assessed. An analysis was performed to assess the associations between variables. …”
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Exposure-response functions of the correlated environmental exposures green space, noise, and air pollution for quantifying mortality burden in health impact assessment by Xuan Chen, Ulrike Gehring, Georgia M.C. Dyer, Kees de Hoogh, Sasha Khomenko, Haneen Khreis, Natalie Mueller, Roel Vermeulen, Harry Williams, Belen Zapata-Diomedi, Mark Nieuwenhuijsen, Gerard Hoek

“…The studies show substantial variability in exposure levels and correlations between exposures. …”
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The association between TNF-receptors (TNFR1 and TNFR2) and mortality as well as kidney function decline in patients with chronic kidney disease by Per Wändell, Tobias Feldreich, Anders Larsson, Philip A. Kalra, Johan Ärnlöv, Toralph Ruge, Axel C. Carlsson

“…Differences in eGFR decline in relation to plasma TNFR1 and TNFR2 were estimated by both linear and logistic regression models, with regression coefficients and odds ratios (ORs). Results: Univariate models showed significant associations between TNFR1 (n = 985) and TNFR2 (n = 988) and all-cause mortality based on 7424 person-years at risk, but in the fully adjusted models with continuous variables significant only for TNFR2 HR 1.17 (1.03–1.34), but with a borderline value for TNFR1 HR 1.15 (1.00–1.31). …”
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Sensitivity Analysis of Numerical Coherency Model for Rock Sites by Dongyeon Lee, Yonghee Lee, Hak-Sung Kim, Jeong-Seon Park, Duhee Park

“…Because of difficulties in developing an empirical coherency function from a site-specific dense array, it is seldom used in practice. …”
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Measurement of Salivary Cortisol for Revealing Age-Specific Dependence of Cortisol Levels on Time, Feeding, and Oxygen Metabolism in Newborn Infants by Tomoko Suzuki, Sachiko Iwata, Chinami Hanai, Satoko Fukaya, Yuka Watanabe, Shigeharu Nakane, Hisayoshi Okamura, Shinji Saitoh, Osuke Iwata

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Evaluating the effects of urban development on the ecological carrying capacity of Isfahan city based on the system dynamics approach by Zahra Dehghan Manshadi, Parastoo Parivar

“…In order to validate the model, the historical trend and simulation of two variables of urban population and the number of industries have been compared using the coefficient of determination.Results and discussion: The pressure factors on the urban carrying capacity were detected and analyzed by assessing key variables in the system, such as water sustainability (WSI) and air quality, as well as changes in the landscape structure of Isfahan using landscape metrics. …”
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Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

“…For this reason, a finite element analysis method based on random field theory is proposed in this paper, which can more realistically reflect the non-homogeneous characteristics of the reinforced soil retaining wall system by introducing a spatial random distribution model of the soil parameters and the mechanical properties of the geocells, so as to more accurately assess the influence of the spatial variability of the material parameters on the deformation behavior and stability of the retaining wall.MethodsFirstly, in parameter random field modeling, an innovative combination of Latin Hypercube Sampling (LHS) and exponential autocorrelation function is used to construct parameter random fields. …”
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How Can We Manage Repairing a Broken Finite Vibrating String? Solutions to the Problem I by Vladimir L. Borsch

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Derivation and external validation of a risk score for clinically important declines in health and function among two longitudinal cohorts of women in the mid-life by Daniel H Solomon, Bernhard Haring, JoAnn E Manson, Rebecca Jackson, Aladdin Shadyab, Carrie Karvonen-Gutierrez, Kristine Ruppert, Leah Santacroce, Sherri-Ann M Burnett-Bowie, Alicia Colvin, Meryl S LeBoff, Celina I Valencia, Nancy E Avis

“…Objectives Women in mid-life often develop chronic conditions and experience declines in physical health and function. Identifying factors associated with declines provides opportunity for targeted interventions. …”
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Kidney Function and Incident Stroke and Dementia Using an Updated Estimated Glomerular Filtration Rate Equation Without Race: The Multi-Ethnic Study of Atherosclerosis by Samuel R. Moen, Jeffrey R. Misialek, Timothy M. Hughes, Craig W. Johnson, Mark J. Sarnak, Sarah N. Forrester, W.T. Longstreth, Jr., Mercedes R. Carnethon, James S. Pankow, Sanaz Sedaghat

“…Inclusion of race to estimate kidney function has gained increased scrutiny given its problematic nature of being a societal construct rather than an inherent biological trait that affects function of the kidneys. …”
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Energy Consumption and Economic Growth Nexus: Insights from EU Member States by Dalina-Maria ANDREI

“…It searches for some short/long term relationships of these through a panel type model, based on the Cobb-Douglas neoclassic production function. Reference examples in the literature and tests applied for unit roots and cointegration determine our option for an autoregressive distributed lag (ARDL) model able to identify both common coefficients of long-term relationship between variables and individual (specific to each EU member country) coefficients on short-term relationships. …”
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A new method to solve multi-objective linear fractional programming problem in fuzzy stochastic environment by Ajeet Kumar, Babita Mishra

“…In this problem, the fuzzy random variables coefficient is involved as the parameters of the objective function as well as system constraints. …”
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Asymptotic Integration of a Certain Second-Order Linear Delay Differential Equation by P. N. Nesterov

“…This equation also attracts interest from the standpoint of the theory of oscillations of solutions of functional differential equations. We apply the method of asymptotic integration that is based on the ideas of the centre manifold theory in its presentation with respect to the systems of functional differential equations with oscillatory decreasing coefficients. …”
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The 4th Dimension in Animal Movement: The Effect of Temporal Resolution and Landscape Configuration in Habitat‐Selection Analyses by Johannes Signer, Cédric Scherer, Viktoriia Radchuk, Carolin Scholz, Florian Jeltsch, Stephanie Kramer‐Schadt

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Towards sustainable construction: estimating compressive strength of waste foundry sand-blended green concrete using a hybrid machine learning approach by Hoang Nhat-Duc, Nguyen Quoc-Lam

“…The proposed model is evaluated using root mean square error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R 2). Notably, an asymmetric loss function is employed during the training phase of LightGBM to restrict overestimations. …”
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An innovative modelling technique for bimodal soil water characteristic curve under wetting process by Nura Bello, Alfrendo Satyanaga, Sonny Irawan, Qian Zhai, Nurly Gofar, Jong Kim

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Patterns and risk factors of falls among older adults: a systematic review by Tetiana Yermakova

“…The analysis identified key risk factors for falls among older adults, including cognitive impairments, reduced sensorimotor function, changes in gait parameters, as well as physiological and external factors. …”
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Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach by Rongshang Chen, Zhiyong Chen

“…Through an approximation of the nonparametric functions with free-knot splines, we develop a Bayesian sampling approach that can be applied by the Markov chain Monte Carlo (MCMC) approach and design an efficient Metropolis–Hastings within the Gibbs sampling algorithm to explore the joint posterior distributions. …”
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Decoupling and Insensitivity of Greenness and Gross Primary Productivity Across Aridity Gradients in China by Yuzhen Li, Xiuliang Yuan, Lei Zheng, Wenqiang Zhang, Yue Zhang

“…For different plant functional types (PFTs), decoupling occurred in ENF with a determination coefficient value (R²) of 0.04, whereas GRA shows a higher coupling with an R² of 0.20. …”
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