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Bacterial hyaluronic acid production through an alternative extraction method and its characterization
(2019)
BACKGROUND In this study, hyaluronic acid (HA) was produced using Streptococcus equi ssp. equi via an optimized Central Composite Design process, with purification by an alternative extraction method. Determinations of ...
Universal usability evaluation by using an integrated fuzzy multi criteria decision making approach
(2019)
Purpose The purpose of this paper is to propose an integrated fuzzy approach to determine important universal usability problems (UUPs) by providing experts who behave like real users and to establish a work plan to correct ...
Preparation and characterization of novel albumin-sericin nanoparticles as siRNA delivery vehicle for laryngeal cancer treatment
(2019)
Small interfering RNA (siRNA)-based gene silencing strategy has high potential on suppressing specific molecular targets, involved in cancer progression. However, the lack of an effective nanocarrier system that safely ...
Double-row facility layout with replicate machines and split flows
(2019)
This paper presents a new variant of the double row layout problem (DRLP) that features types of capacitated machines. This variant dramatically improves the fidelity with which the DRLP represents the complex production ...
Stochastic KEMIRA-M Approach with Consistent Weightings
(2019)
This study proposes an advanced Modified KEmeny Median Indicator Rank Accordance (KEMIRA-M) approach based on stochastic evaluation process considering consistent weights to improve effective usage of KEMIRA-M. In the ...
Oba Filter for Online-Adaptive Nonlinear State Estimation With Interference
(2019)
Interference, such as jamming, is widely encountered in practical applications, such as target tracking. Kalman-based nonlinear filters may not be feasible for nonlinear state estimation with nonlinearly transformed ...
A New Approach for Predicting the Value of Gene Expression: Two-way Collaborative Filtering
(2019)
Background: Predicting the value of gene expression in a given condition is a challenging topic in computational systems biology. Only a limited number of studies in this area have provided solutions to predict the expression ...
Prediction of Protein Metal Binding Sites Using Deep Neural Networks
(2019)
Metals have crucial roles for many physiological, pathological and diagnostic processes. Metal binding proteins or metalloproteins are important for metabolism functions. The proteins that reach the three-dimensional ...
Penetration Depth in Nanoparticles Incorporated Radiofrequency Hyperthermia into the Tissue: Comprehensive Study with Histology and Pathology Observations
(2019)
In present study, the effective penetration of radiofrequency (RF) induced gold decorated iron oxide nanoparticles (GS@IONPs) hyperthermia was investigated. The effective penetration depth of RF also the damage potency of ...
Chondrogenesis of human mesenchymal stem cells by microRNA loaded triple polysaccharide nanoparticle system
(2019)
Degenerative cartilage is the pathology of severe depletion of extracellular matrix components in articular cartilage. In diseases like osteoarthritis, misregulation of microRNAs contributes the pathology and collectively ...