OBJECTIVE Classification criteria for systemic sclerosis (SSc; scleroderma) are being updated jointly by the American College of Rheumatology and European League Against Rheumatism. Potential items for classification were reduced to 23 using Delphi and nominal group techniques. We evaluated the face, discriminant, and construct validity of the items to be further studied as potential criteria. ...

OBJECTIVES The course of systemic sclerosis (SSc) can differ in female and male patients. According to the literature the incidence rates of diffuse cutaneous SSc, scleroderma renal crisis and digital ulceration are higher in male patients. The aim of the study was to compare selected clinical and serological parameters in male and female patients with SSc. MATERIAL AND METHODS The study enco...

background: spermatogonial stem cells (sscs) are infrequentself-renewing cells among the type a spermatogoniawithin the seminiferous tubules and are the basis of spermatogenesisin mammalian testis. an adequate number of sscs is aprimary requirement for the study of their behavior, regulation, andfurther biomanipulation. objectives: in this paper, we studiedthe development of the primary co-cult...

Graph structure is vital to graph based semi-supervised learning. However, the problem of constructing a graph that reflects the underlying data distribution has been seldom investigated in semi-supervised learning, especially for high dimensional data. In this paper, we focus on graph construction for semisupervised learning and propose a novel method called Semi-Supervised Classification base...

Multiplex protein technology has the potential to identify biomarkers for the differentiation, classification and improved understanding of the pathogenesis of interstitial lung disease. The aim of this study was to determine whether a 30-inflammatory biomarker panel could discriminate between healthy controls, sarcoidosis and systemic sclerosis (SSc) patients independently of other clinical in...

Remote sensing has widely been used in urban climatology since it has the advantage of a simultaneous synoptic view of the full urban surface. Methods include the analysis of surface temperature patterns, spatial (biophysical) indicators for urban heat island modelling, and flux measurements. Another approach is the automated classification of urban morphologies or structural types. In this stu...

Wind speed reconstruction is a challenging problem in areas (mainly wind farms) where there are not direct wind measures available. Different approaches have been applied to this reconstruction, such as measure-correlatepredict algorithms, approaches based on physical models such as reanalysis methods, or more recently, indirect measures such as pressure, and its relation to wind speed. This pa...

The classification of weather systems provides a simple description atmospheric circulations and bridges the gap between large-scale conditions local-scale environmental variables. However, existing methods are challenged due to lack labels inaccurate similarity measures data samples. In this letter, we propose self-supervised Spatiotemporal Contrastive Learning (SCL) framework for without manu...