Results 31 to 40 of about 10,968 (180)

Viability of AMURA biomarkers from single-shell diffusion MRI in clinical studies

Frontiers in Neuroscience, 2023
Diffusion Tensor Imaging (DTI) is the most employed method to assess white matter properties using quantitative parameters derived from diffusion MRI, but it presents known limitations that restrict the evaluation of complex structures.
Carmen Martín-Martín, Álvaro Planchuelo-Gómez, Álvaro Planchuelo-Gómez, Ángel L. Guerrero, Ángel L. Guerrero, David García-Azorín, Antonio Tristán-Vega, Rodrigo de Luis-García, Santiago Aja-Fernández   +8 more
doaj   +1 more source

A tool for the syntactic detection of zeno-timelocks in timed automata [PDF]

, 2005
Timed automata are a very successful notation for specifying and verifying real-time systems, but timelocks can freely arise. These are counter-intuitive situations in which a specifier's description of a component automaton can inadvertently prevent ...
Su, Li, Gomez, Rodolfo, Su, Linying, Bowman, Howard   +3 more
core   +1 more source

Lysinuric proetin intolerance: molecular and cellular bases of an inherited multi-system disorder [PDF]

, 2006
[ITALIANO] Introduzione: L’ intolleranza alle proteine con lisinuria, ereditata come carattere autosomico recessivo, è causata da un difettivo trasporto di aminoacidi cationici (CAA) alla membrana basolaterale delle cellule epiteliali di intestino e rene.
Sperandeo, Maria Pia
core   +1 more source

Nutritional and anti-nutritional properties of lentil (Lens culinaris) protein isolates prepared by pilot-scale processing

Food Chemistry: X, 2021
Lentil (Lens culinaris) is a high-protein crop with a promising potential as a plant-based protein source for human nutrition. This study investigated nutritional and anti-nutritional properties of whole seed lentil flour (LF) compared to lentil protein ...
Marcel Skejovic Joehnke, Stephanie Jeske, Lilit Ispiryan, Emanuele Zannini, Elke K. Arendt, Jürgen Bez, Jens Christian Sørensen, Iben Lykke Petersen   +7 more
doaj   +1 more source

Assessment of the Logistics Performance Index of OPEC Countries with ENTROPY, CRITIC and LOPCOW-based EDAS Methods

Journal of Transportation and Logistics
The aim of this study is to examine the Logistics Performance Index (LPI) of the Organization of the Petroleum Exporting Countries(OPEC) using the ENTROPY, CRITIC, and LOPCOW-based EDAS method.
Emre Kadir Özekenci
doaj   +1 more source

LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA–protein interaction identification

BMC Bioinformatics, 2021
Background Long noncoding RNAs (lncRNAs) play important roles in various biological and pathological processes. Discovery of lncRNA–protein interactions (LPIs) contributes to understand the biological functions and mechanisms of lncRNAs.
Liqian Zhou, Zhao Wang, Xiongfei Tian, Lihong Peng   +3 more
doaj   +1 more source

Laser peripheral iridotomy induced changes in eyes with primary angle closure disease

Indian Journal of Ophthalmology
Primary angle closure disease (PACD) though less prevalent than primary open angle glaucoma contributes to fifty percent of glaucoma blindness, particularly in the Asian population. Pupillary block is the most common pathology associated with PACD.
Srinivasan Kavitha, Nazlee Zebardast, S Swetha, Mona Khurana, Shweta Tripathi, S Usha Tejaswini, Yapei Zhang, Rengaraj Venkatesh   +7 more
doaj   +1 more source

Optical coherence tomography analysis of anterior segment parameters before and after laser peripheral iridotomy in primary angle-closure suspects by using CASIA2

BMC Ophthalmology, 2022
Background Laser peripheral iridotomy (LPI) is effective in primary angle-closure suspects (PACS); however, predictors for anterior segment alterations after LPI are limited. We aimed to evaluate the anterior segment biometric parameters before and after
Xiaoxiao Chen, Xiaolei Wang, Yizhen Tang, Xinghuai Sun, Yuhong Chen   +4 more
doaj   +1 more source

A Survey of Current Resources to Study lncRNA-Protein Interactions

Non-Coding RNA, 2021
Phenotypes are driven by regulated gene expression, which in turn are mediated by complex interactions between diverse biological molecules. Protein–DNA interactions such as histone and transcription factor binding are well studied, along with RNA–RNA ...
Melcy Philip, Tyrone Chen, Sonika Tyagi
doaj   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source