Background Primary Sjögren’s Syndrome (pSS) is characterised by oral and ocular dryness, possible development of systemic manifestations, increased lymphoma risk, a highly diverse patient burden. To address this heterogeneity Tarn identified four endotypes based on patient-reported symptoms fatigue, pain, anxiety depression: low symptom burden (LSB), pain dominant with fatigue (PDF), dryness (D...

In precision machining, the milling tool’ geometry has a great influence on milled surface quality. The research tool state monitoring was mainly based one-dimensional signals and two-dimensional images, which could indirectly obtain wear area, but it not provide volume of breakage thereby making difficult to achieve quantitative analysis wear. This paper proposed three-dimensional (3D) reconst...

Over the recent years, volume of medical images and related digital records, called electronic generated, shared, stored by different intelligent devices, sensors, Internet things networks, to name a few, has drastically increased. Such records are shared cloud providers for storage further processing. However, an increasingly serious concern is illegal copying, modification, forgery records. T...

hydroponics technique accompanied by adjustment of nutrient solution seems to optimize crop production and help in establishing sustainable agriculture. in recent years, the greenhouse production of cucumber has been increased in iran, however there are just a few proper nutrient solutions employed in growing the crop. in line with this, an experiment was conducted to find the effect of various...

REACH (Registration, Evaluation, Authorisation and Restriction of Chemicals) regulations demand for an expedient discovery a Cr(VI)-free alternative corrosion protection light alloys even though the green alternatives might never be as cheap current harmful technologies. In present work, flash- plasma electrolytic oxidation coatings (FPEO) with process duration < 90 s are developed on AZ31B ...

Multimodal medical image fusion approaches have been commonly used to diagnose diseases and involve merging multiple images of different modes achieve superior quality reduce uncertainty redundancy in order increase the clinical applicability. In this paper, we proposed a new algorithm based on convolutional neural network (CNN) obtain weight map for multiscale transform (curvelet/ non-subsampl...

Image denoising is a fundamental task in computer vision and image processing system with an aim of estimating the original by eliminating noise artefact from noise-corrupted version image. In this study, nonlocal means (NLM) algorithm NSST (non-subsampled shearlet transform) has been designed to surface computationally simple algorithm. Initially, employed decompose source into coarser finer l...