Results 181 to 190 of about 11,165 (303)

Exploring the association between vitamin C intake and gingival bleeding tendency in healthy, non‑deficient young adults

Journal of Periodontology, EarlyView.
Abstract Background The aim of this study is to investigate the relationship between reported vitamin C intake and gingival bleeding severity. Methods In this cross‐sectional study, 336 participants were screened, and 262 (118 females, 144 males) were eligible. Vitamin C intake was derived from the Food Frequency Questionnaire (FFQ).
Thijs M. H. de Jong, Dagmar E. Slot, Cees Valkenburg, Bruno G. Loos, Fridus A. van der Weijden   +4 more
wiley   +1 more source

A data-parsimonious model for long-term risk assessments of West Nile virus spillover. [PDF]

Sci Rep
Hosseini S, Cohnstaedt LW, Marjani M, Scoglio C.   +3 more
europepmc   +1 more source

Molecular descriptor driven QSPR modeling of Papp, TEER and Efflux Ratio from Caco‐2 cells using machine learning for various phytochemicals

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND The present study aimed to develop and validate quantitative structure–property relationship (QSPR) models for predicting permeability related bioavailability indicators including apparent permeability (Papp), trans‐epithelial electrical resistance (TEER) and efflux ratio (ER) based on molecular descriptors (n = 5003) of 83 ...
Jin‐Woo Kim, Rixing Cong, Jin‐Soo Park, Keunwan Park, Kyungsu Kang, Soon‐Mi Shim   +5 more
wiley   +1 more source

Improving the Precision of First-Principles Calculation of Parton Physics from Lattice Quantum Chromodynamics. [PDF]

Research (Wash D C)
Zhao Y.
europepmc   +1 more source

Physics‐Informed Generative Machine Learning for Designing Crack‐Free γ′‐Strengthened Ni‐Based Superalloys for Laser Powder Bed Fusion

Materials Genome Engineering Advances, EarlyView.
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo, Dongwei Guan, Tao Hu, Yaqing Hou, Xiaoqun Li, Zhongnan Bi, Songzhe Xu, Hao Yu, Wei Xu, Weidong Xuan, Chaoyue Chen, Zhongming Ren   +11 more
wiley   +1 more source

Measuring Statistical Dependence via Characteristic Function IPM. [PDF]

Entropy (Basel)
Daniušis P, Juneja S, Kuzma L, Marcinkevičius V.   +3 more
europepmc   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

Mathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés, Ana Navarro‐Quiles, Sorina Madalina Sferle   +2 more
wiley   +1 more source

Information-Entropic Deep Learning with Gaussian Process Regularisation for Uncertainty-Aware Quantitative Trading. [PDF]

Entropy (Basel)
Lin F, Sun H.
europepmc   +1 more source

Fractional Moment Theory for Anomalous Transport: A Unified Framework for Lévy Flights, Fractals, and Complex Dynamical Systems

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We develop a unified mathematical framework extending classical moment theory from discrete integer orders to a continuous spectrum of real orders f>0$$ f>0 $$, providing a systematic statistical characterization of complex systems exhibiting power‐law behavior.
Farrukh A. Chishtie
wiley   +1 more source

Exponential stabilization and finite time blow-up in a fractional thermal piezoelectric beam with delay. [PDF]

Sci Rep
Ullah Z, Hao J, Thabet STM, Moulahi T.
europepmc   +1 more source