Results 71 to 80 of about 275,635 (230)
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
Advanced Intelligent Systems, EarlyView.This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source
环境与职业医学BackgroundNoise-induced hearing loss (NIHL) is a prevalent occupational health problem in workplace settings, with non-steady noise exposure being particularly widespread. Although kurtosis-adjusted equivalent sound level (\begin{document}$ {{L'}}_{\text{
Jinzhe LI +7 more
doaj +1 more source
Genetic appraisal of F2 generation of Dolichos bean for yield and yield attributing traits
Electronic Journal of Plant Breeding, 2016 In the present study F2 generation was evaluated for yield and yield contributing traits to understand genetic variability and association among yield contributing traits in dolichos bean. High phenotypic and genotypic coefficient of variability (PCV and
S.C. Venkatesha +4 more
doaj +1 more source
Modelling the Density of Inflation Using Autoregressive Conditional Heteroscedasticity, Skewness, and Kurtosis Models [PDF]
The paper aimed at modelling the density of inflation based on time-varying conditional variance, skewness and kurtosis model developed by Leon, Rubio, and Serna (2005) who model higher-order moments as GARCH-type processes by applying a Gram-Charlier ...
Doaa Akl Ahmed
core
Higher Moments of Net-Baryon Distribution as Probes of QCD Critical Point
, 2010 It is crucially important to find an observable which is independent on the acceptance and late collision process, in order to search for the possible Critical Point predicted by QCD.
Liu, F. +4 more
core +1 more source
Advanced Intelligent Systems, EarlyView.This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley +1 more source
Skewness and Kurtosis in Statistical Kinetics
, 2015 We obtain lower and upper bounds on the skewness and kurtosis associated with the cycle completion time of unicyclic enzymatic reaction schemes. Analogous to a well known lower bound on the randomness parameter, the lower bounds on skewness and kurtosis ...
Barato, Andre C., Seifert, Udo
core +1 more source
Advanced Intelligent Systems, EarlyView.This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk +4 more
wiley +1 more source
American Journal of Community Psychology, EarlyView.Abstract The provision of residential and community‐based services for individuals with serious mental illness (SMI) has become increasingly important following the deinstitutionalization movement. Much of the existing research on supportive housing focuses on housing outcomes rather than exploring how the program helps its residents thrive in the ...
Kenna E. Dickard, Greg Townley
wiley +1 more source
Some remarks on Koziol’s kurtosis
Journal of Multivariate Analysis, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources