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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

Proteomic differences between focal and diffuse traumatic brain injury in human brain tissue

The early molecular response to severe traumatic brain injury (TBI) was evaluated using biopsies of structurally normal-appearing cortex, obtained at location for intracranial pressure (ICP) monitoring, from 16 severe TBI patients. Mass spectrometry (MS; label free and stable isotope dimethyl labeling) quantitation proteomics showed a strikingly different molecular pattern in TBI in comparison to

Favorable clinical outcome following surgical evacuation of deep-seated and lobar supratentorial intracerebral hemorrhage : a retrospective single-center analysis of 123 cases

Background: In spontaneous supratentorial intracerebral hemorrhage (ICH), the role of surgical treatment remains controversial, particularly in deep-seated ICHs. We hypothesized that early mortality and long-term functional outcome differ between patients with surgically treated lobar and deep-seated ICH. Method: Patients who underwent craniotomy for ICH evacuation from 2009 to 2015 were retrospec

Techno-Economic Aspects of Ethanol Production from Lignocellulosic Agricultural Crops and Residues

Bioethanol has been introduced on a large scale in several countries, for example, in Brazil, the United States, and some European countries such as Sweden. Currently, most bioethanol is produced using starch- or sugar-based production from wheat, corn, or sugar cane (first-generation bioethanol). However, to be able to meet the expected demand, further expansion will have to come from lignocellul

Hybrid rough-PSO approach in remote sensing imagery analysis

Pixel classification among overlapping land cover regions in remote sensing imagery is a very challenging task. Detection of uncertainty and vagueness are always the key features for classifying mixed pixels. This paper proposes an approach for pixel classification using a hybrid approach of rough set theory and particle swarm optimization methods. Rough set theory deals with incompleteness and va