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Biomarker detection on Pancreatic cancer dataset using entropy based spectral clustering

Pancreatic ductal adenocarcinoma (PDAC) is one of most aggressive malignancy. The identification of Biomarker for PDAC is an ongoing challenge. The high dimensional PDAC gene expression dataset in Gene Expression Omnibus(GEO) database, is analyzed in this work. To select those genes which are relevant as well as with least redundancy among them, we use successive approaches like Filter methods and

QSAR model for mast cell stabilizing activity of indolecarboxamidotetrazole compounds on human basophils

Indolecarboxamidotetrazole compounds are well known as potential anti allergic agents due to their mast cell stabilizing activity on human basophils. A quantitative structure activity relationship (QSAR) model has been generated using Multiple Linear regression (MLR) for the prediction of inhibition efficiency of indolecarboxamidotetrazole derivatives. Twenty-one compounds with their activities ex

Complications, long-term outcome and quality of life following Surgisis® and muscle-covered implants in immediate breast reconstruction : a case-control study with a 6-year follow-up

Background: Matrices are now commonly used in breast reconstruction, but the scientific evidence is still scares. The main aim was to compare complications and the need for corrections in immediate breast reconstruction with the porcine-derived Surgisis® with the traditional muscle-covered technique. The secondary aim was to compare long-term quality of life and satisfaction. Methods: All consecut

Energy efficiency regulations, market and behavioural failures and standardization

Introduction: A large number of policy instruments have been developed to induce energy efficiency and mitigate climate change. Traditional policy evaluations have assessed the performance of individual policy instruments, applying criteria such as target effectiveness, cost-effectiveness, legitimacy and distributional effects. More recently there has been a shift of interest in how policy instrum

Hypermethylation of endoplasmic reticulum disulfide oxidase 1α leads to trophoblast cell apoptosis through endoplasmic reticulum stress in preeclampsia

Abnormal trophoblast cell apoptosis is implicated in the pathogenesis of pregnancy-related disorders including preeclampsia (PE), and endoplasmic reticulum (ER) stress has been considered as a novel pathway in the regulation of cell apoptosis. In this study, we observed that both apoptosis and ER stress are triggered in trophoblast cells under hypoxia as well as in the placenta of PE rats. Quantit

A novel partial volume correction method for accurate quantification of [18F] flortaucipir in the hippocampus

Background: Off-target binding in the choroid plexus (CP) may cause spill-in of the tau PET tracer [18F] flortaucipir into the adjacent hippocampus region. The impact of this spill-in on hippocampal uptake was assessed using a novel partial volume correction method (PVC). Methods: PVC was performed on 20 [18F] flortaucipir dynamic PET scans (10 probable AD and 10 controls). Volumes of interest (VO

Diagnosis and management of bone fragility in diabetes : an emerging challenge

Fragility fractures are increasingly recognized as a complication of both type 1 and type 2 diabetes, with fracture risk that increases with disease duration and poor glycemic control. Yet the identification and management of fracture risk in these patients remains challenging. This review explores the clinical characteristics of bone fragility in adults with diabetes and highlights recent studies

Inter-laboratory comparison of channelized hotelling observer computation

Purpose: The task-based assessment of image quality using model observers is increasingly used for the assessment of different imaging modalities. However, the performance computation of model observers needs standardization as well as a well-established trust in its implementation methodology and uncertainty estimation. The purpose of this work was to determine the degree of equivalence of the ch

Rough based symmetrical clustering for gene expression profile analysis

Identification of coexpressed genes is the central goal in microarray gene expression data analysis. Point symmetry-based clustering is an important unsupervised learning technique for recognizing symmetrical convex or non-convex shaped clusters. To enable fast automatic clustering of large microarray data, in this article, a distributed time-efficient scalable parallel rough set based hybrid appr

Principles for the design of a policy framework to address product life cycle impacts

Introduction: Product-oriented environmental law is an expanding, poly-thematic subsection of environmental law. First, an increasing number of policy instruments are being used at the international, European and national levels to regulate products, including mandatory performance standards, consumer subsidies, public procurement practices, product bans, taxes and charges and various kinds of man

Preconditioned Smoothers for the Full Approximation Scheme for the RANS Equations

We consider multigrid methods for finite volume discretizations of the Reynolds averaged Navier–Stokes equations for both steady and unsteady flows. We analyze the effect of different smoothers based on pseudo time iterations, such as explicit and additive Runge–Kutta (AERK) methods. Furthermore, by deriving them from Rosenbrock smoothers, we identify some existing schemes as a class of additive W

Doctoral students’ well-being : a literature review

Purpose: Doctoral student well-being is an important matter that shapes the well-being of academics throughout their careers. Given that well-being has been found to be closely related to employee productivity and efficiency, strategies associated with maintaining well-being during PhD studies might be crucial for higher education, its outcomes and—just as importantly—for a balanced life of PhD st

Membrane processes for sugar and starch processing

Sugars and starches belong to the category of carbohydrates, which are important energy sources for organisms and nonessential nutrients in the human diet. Sugars are mono- or disaccharides that can be immediately transformed to energy by organisms. Starches, on the other hand, are polysaccharides, a space-efficient storage of energy for organisms. Before transforming polysaccharides into energy f

Engineering aspects of membrane separation and application in food processing

Engineering Aspects of Membrane Separation and Application in Food Processing presents an overview and introduction to a wide range of membrane processes, their unique characteristics and challenges. In the food industry, as in many industries, membranes have an environmental advantage over conventional processes that they displace, because they are less energy intensive. The processing at near-am

Exoskeleton gait training after spinal cord injury : An exploratory study on secondary health conditions

OBJECTIVE: To explore changes in pain, spasticity, range of motion, activities of daily living, bowel and lower urinary tract function and quality of life of individuals with spinal cord injury following robotic exoskeleton gait training.DESIGN: Prospective, observational, open-label multicentre study.METHODS: Three training sessions per week for 8 weeks using an Ekso™ GT robotic exoskeleton (EKSO

Cell free hemoglobin in the fetoplacental circulation : A novel cause of fetal growth restriction?

Cell free hemoglobin impairs vascular function and blood flow in adult cardiovascular disease. In this study, we investigated the hypothesis that free fetal hemoglobin (fHbF) compromises vascular integrity and function in the fetoplacental circulation, contributing to the increased vascular resistance associated with fetal growth restriction (FGR). Women with normal and FGR pregnancies were recrui