Hippocampal single‐voxel MR spectroscopy with a long echo time at 3 T using semi‐LASER sequence
Sign Up to like & getrecommendations! Published in 2021 at "NMR in Biomedicine"
DOI: 10.1002/nbm.4538
Abstract: The hippocampus is one of the most challenging brain regions for proton MR spectroscopy (MRS) applications. Moreover, quantification of J‐coupled species such as myo‐inositol (m‐Ins) and glutamate + glutamine (Glx) is affected by the presence… read more here.
Keywords: echo time; using semi; spectroscopy; single voxel ... See more keywords
Assessing setting times of cementitious materials using semi-adiabatic calorimetry
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Thermal Analysis and Calorimetry"
DOI: 10.1007/s10973-024-13375-2
Abstract: The most common methods for the determination of setting times of cements are the various penetration tests. One of the most important of these is the Vicat method, which is the current standard measurement (EN… read more here.
Keywords: cement; using semi; setting times; adiabatic calorimetry ... See more keywords
Using Semi-Markov Chains to Solve Semi-Markov Processes
Sign Up to like & getrecommendations! Published in 2020 at "Methodology and Computing in Applied Probability"
DOI: 10.1007/s11009-020-09820-y
Abstract: This article provides a novel method to solve continuous-time semi-Markov processes by algorithms from discrete-time case, based on the fact that the Markov renewal function in discrete-time case is a finite series. Bounds of approximate… read more here.
Keywords: time; markov processes; using semi; semi markov ... See more keywords
Network Embedding Using Semi-Supervised Kernel Nonnegative Matrix Factorization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2927496
Abstract: Network embedding, aiming to learn low-dimensional representations of nodes in networks, is very useful for many vector-based machine learning algorithms and has become a hot research topic in network analysis. Although many methods for network… read more here.
Keywords: supervised kernel; network embedding; using semi; semi supervised ... See more keywords
A Memristive Multiplier Using Semi-Serial IMPLY-Based Adder
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2020.2965935
Abstract: Memristors are among emerging technologies with many promising features, which makes them suitable not only for storage purposes but also for computations. In this work, focusing on in-memory computations, we first present our semi-serial IMPLY-based… read more here.
Keywords: based adder; serial imply; semi serial; using semi ... See more keywords
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders
Sign Up to like & getrecommendations! Published in 2021 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1009439
Abstract: Recent neuroscience studies demonstrate that a deeper understanding of brain function requires a deeper understanding of behavior. Detailed behavioral measurements are now often collected using video cameras, resulting in an increased need for computer vision… read more here.
Keywords: behavioral videos; videos using; partitioning variability; animal behavioral ... See more keywords
Flow Diverter-Assisted Coil Embolization of Blood Blister-Like Aneurysm Using Semi-deploying Technique
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Neurology"
DOI: 10.3389/fneur.2020.625203
Abstract: Despite many therapeutic methods were utilized to treat blood blister-like aneurysms (BBAs), the optimal treatment approach has not yet been defined. This study presents the single center experience with BBAs treated with flow diverter-assisted coiling… read more here.
Keywords: assisted coil; deploying technique; embolization; semi deploying ... See more keywords
Predicting the Risk of Alzheimer’s Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach
Sign Up to like & getrecommendations! Published in 2023 at "Informatics"
DOI: 10.3390/informatics10020046
Abstract: Alzheimer’s disease (AD) and AD-related dementias (AD/ADRD) are a group of progressive neurodegenerative diseases. The progression of AD can be conceptualized as a continuum in which patients progress from normal cognition to preclinical AD (i.e.,… read more here.
Keywords: disease related; using semi; mild cognitive; alzheimer disease ... See more keywords
Fractional Kinetic Models for Drying Using a Semi-Empirical Method in the Framework of Different Types of Kernels
Sign Up to like & getrecommendations! Published in 2025 at "Symmetry"
DOI: 10.3390/sym17040483
Abstract: In this study, we analyze the Lewis model within the framework of the Caputo–Fabrizio fractional derivative in the sense of Caputo (CFC), the Caputo-type Atangana–Baleanu (ABC) fractional derivative and the generalized ABC with a three-parameter… read more here.
Keywords: using semi; fractional kinetic; empirical method; semi empirical ... See more keywords
Formulation and Evaluation of Buccal Tablets of Diclofenac Sodium using Semi-Synthetic Polymers
Sign Up to like & getrecommendations! Published in 2018 at "Research Journal of Pharmacy and Technology"
DOI: 10.5958/0974-360x.2018.00001.x
Abstract: The purpose of this research work is to formulate and evaluate diclofenac sodium buccal tablets using semi-synthetic polymers such as hydroxypropyl methyl cellulose K4M (HPMC K4M), methyl cellulose (MC) and sodium carboxyl methyl cellulose (SCMC)… read more here.
Keywords: diclofenac sodium; semi synthetic; sodium; synthetic polymers ... See more keywords