Results 61 to 70 of about 116,475 (314)

Influence of Geometric Design on Mechanical Performance of Auxetic Metastructure

Advanced Engineering Materials, EarlyView.
Strategic geometric reinforcement transforms auxetic performance. This study evaluates 3D‐printed arrowhead metastructures, revealing that a modified design with local ring reinforcement suppresses premature failure to achieve superior energy absorption and structural efficiency.
Muhammad Gulzari, Supharoek Sornsomrit, Muhammad Ayaz Akbar, Stephan Rudykh   +3 more
wiley   +1 more source

Association of the monocyte-to-albumin ratio with cardiovascular disease and with all-cause and cardiovascular mortality in the general population

Frontiers in Cardiovascular Medicine
ObjectiveThis investigation examined the links of monocyte-to-albumin ratio (MAR) with cardiovascular disease (CVD), alongside all-cause and CVD mortality in the general population, employing records from the National Health and Nutrition Examination ...
Yingju Jin, Xiaoyue Wang, Yinlian Chen, Xiaomei Li, Xueqing Wu, Yunxue Tian, Juan Li   +6 more
doaj   +1 more source

On one algorithm of generating nonlinear regression models and its computer realization

E3S Web of Conferences, 2023
The tasks of statistical processing of experimental data arise in different areas of human activity. In this regard, the development of algorithms and corresponding computer programs that allow such processing and satisfy certain conditions is an important task.
openaire   +2 more sources

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Empirical analysis of Moon’s gravitational wave and earth’s global warming

Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2017
This research examines a possibility of a disturbance by Moon’s gravitational wave to the Earth’s global warming process in comparison with the increase of global volume of carbon dioxide.
Yoshio Matsuki, Petro I. Bidyuk
doaj   +1 more source

Linearization of randomly weighted empiricals under long range dependence with application to nonlinear regression quantiles [PDF]

, 2000
This paper discusses some asymptotic uniform linearity results of randomly weighted empirical processes based on long range dependent random variables+ These results are subsequently used to linearize nonlinear regression quantiles in a nonlinear ...
Mukherjee, Kanchan
core  

Experimental Characterization of Mycelium‐Based Composites Under Multiple Loading Conditions

Advanced Engineering Materials, EarlyView.
This study examines the mechanical response of mycelium‐based composites under compression, shear, and tension using mechanical testing and imaging methods. The comparison between unpressed and hot‐pressed specimens shows that hot pressing is associated with higher compression and shear stiffnesses.
Shaghayegh Elahi, Kimiya Tajik, Harvey Shaw, Matti Isakov, Sami Pajunen, Lauri Rautkari   +5 more
wiley   +1 more source

Association between dietary inflammatory index and Stroke in the US population: evidence from NHANES 1999–2018

BMC Public Health
Background There is an increasing awareness that diet-related inflammation may have an impact on the stroke. Herein, our goal was to decipher the association of dietary inflammatory index (DII) with stroke in the US general population.
Yukang Mao, Jiayi Weng, Qiyang Xie, Lida Wu, Yanling Xuan, Jun Zhang, Jun Han   +6 more
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

On the number of support points of maximin and Bayesian D-optimal designs in nonlinear regression models [PDF]

We consider maximin and Bayesian D-optimal designs for nonlinear regression models. The maximin criterion requires the specification of a region for the nonlinear parameters in the model, while the Bayesian optimality criterion assumes that a prior ...
Dette, Holger, Braess, Dietrich
core