Results 201 to 210 of about 58,541 (336)

Irritability. [PDF]

BMJ, 1985
openaire   +2 more sources

The NLRP3 inflammasome: molecular activation and regulation to therapeutics

Nature reviews. Immunology, 2019
Karen V. Swanson, Meng Deng, J. Ting
semanticscholar   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Periocular Vitiligo in Keratoconus: A Case Report and Literature Review. [PDF]

Cureus
Azizi S, Jamall O, Jarrar Z, Gore D, Findl O.   +4 more
europepmc   +1 more source

The Effect of Cimetidine on Adaptive Cytoprotection by Mild Irritant Dose of HC1 in the Rat Gastric Mucosa

, 1991
Shinichi Ota, Hideyuki Hiraishi, Akira Terano, Hiroyuki Mutoh, Yasuo Hata, Kevin J. Ivey, Tsuneaki Sugimoto   +6 more
openalex   +1 more source

Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features

Advanced Intelligent Discovery, EarlyView.
Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar, Sophia Buttny, Célia Sahli, Kenry   +3 more
wiley   +1 more source

Assessment of the feed additive consisting of 6-phytase (produced with <i>Trichoderma reesei</i>CBS 126897) (Quantum® Blue) for the renewal of its authorisation for poultry, weaned piglets, pigs for fattening and sows (4a19), and its extension of use to other porcine species and ornamental birds (AB Enzymes Finland Oy). [PDF]

EFSA J
EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Villa RE, Azimonti G, Bonos E, Christensen H, Durjava M, Dusemund B, Gehring R, Glandorf B, Kouba M, López-Alonso M, Marcon F, Nebbia C, Pechová A, Prieto-Maradona M, Röhe I, Theodoridou K, Mayo B, Anguita M, Bozzi Cionci N, Brozzi R, Galobart J, Innocenti ML, Pettenati E, Pizzo F, Amaduzzi A.   +25 more
europepmc   +1 more source

Effects of irritants on the glycogen content of neutrophils in eel, Anguilla japonica.

, 1990
Park Sung-Woo, Hisatsugu Wakabayashi
openalex   +2 more sources

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Comparative study of mouse models of atopic dermatitis. [PDF]

Heliyon
Ye S, Zhu L, Ruan T, Jia J, Mo X, Yan F, Liu J, Zhang Y, Chen D.   +8 more
europepmc   +1 more source