THE SAS STRATEGY TRAINING FOR CHILDREN WITH ASD IN INCLUSIVE EDUCATIONAL ROBOTICS ACTIVITIES

Educational Robotics in inclusive learning environments creates a wide area of research where innovative teaching practices and theoretical approaches are developed and investigated in order for the new growing educational challenges to be met. In this context, an educational intervention research was carried out using mixed research methodology. The aim of the research was to investigate the effect of the“SAS Strategy Training” a strategy that developed to foster the participation of children with autism, at level 2, in inclusive teamwork with peers during construction and programming LEGO Mindstorms. 2 children, 10-11 years old, diagnosed with autism, at level 2, participated in two inclusive educational robotics teams with typical peers. Τhe SaS Strategy has been integrated in the collaboration script that was designed to support the interaction between the team members during their collaboration on programming LEGO Mindstorms. The “SaS Strategy Training” had encouraging results in reducing the barriers of the participation of the children with autism in teamwork with their typical peers. Critical questions, reflections and new research horizons emerged.

Removal of phosphate from aqueous solutions by adsorption onto Ca(OH)2 treated natural clinoptilolite

Phosphorus (P) recovery from wastewater is of great interest especially when the loaded adsorbent can be used in the agriculture as slow-release fertilizer. The application depends on environmental concerns related to the chemical modification of the adsorbent and the release of toxic compounds from the loaded material to the soil or the water during adsorption. The present work focused on the phosphate (PO4-P) removal from aqueous solutions under low P concentrations (0.5–10mg/L) by using Ca(OH)2-pretreated natural zeolite (CaT-Z). As activation agent, Ca(OH)2 presents benefits in terms of pretreatment costs and environmental impact of the applied adsorbent. The pretreatment of natural zeolite (clinoptilolite) with 0.25mol/L Ca(OH)2 led to an increase of P removal from 1.7 to 97.6% at initial P concentration of 10mg/L, pH 7 and 298K. Low residual concentrations of 81–238μg P/L were achieved at 298K rendering CaT-Z a promising sorbent for tertiary wastewater treatment. At 200mg P/L, the adsorption capacity was 7.57mg P/g CaT-Z. The P removal efficiency was pH-independent suggesting a beneficial use of CaT-Z under acidic and alkaline conditions. Adsorption was found to be an endothermic and slow process reaching equilibrium after 120h, whereas the half of the PO4-P was adsorbed in the first 8h. The applied kinetic models showed that both film and intraparticle diffusion contributed to phosphate removal. Phosphate sorption decreased in the presence of the anionic surfactant SDS, Fe2+, HCO3−, acetate and citrate anion. The predominant mechanisms of ligand exchange and Ca-P surface precipitation were confirmed by the IR-ATR and SEM-EDS analyses, respectively

The Role of Inflammation in Diabetes: Current Concepts and Future Perspectives

Diabetes is a complex metabolic disorder affecting the glucose status of the human body. Chronic hyperglycaemia related to diabetes is associated with end organ failure. The clinical relationship between diabetes and atherosclerotic cardiovascular disease is well established. This makes therapeutic approaches that simultaneously target diabetes and atherosclerotic disease an attractive area for research. The majority of people with diabetes fall into two broad pathogenetic categories, type 1 or type 2 diabetes. The role of obesity, adipose tissue, gut microbiota and pancreatic beta cell function in diabetes are under intensive scrutiny with several clinical trials to have been completed while more are in development. The emerging role of inflammation in both type 1 and type 2 diabetes (T1D and T1D) pathophysiology and associated metabolic disorders, has generated increasing interest in targeting inflammation to improve prevention and control of the disease. After an extensive review of the possible mechanisms that drive the metabolic pattern in T1D and T2D and the inflammatory pathways that are involved, it becomes ever clearer that future research should focus on a model of combined suppression for various inflammatory response pathways

The prognostic role of galectin-3 and endothelial function in patients with heart failure

Background: Heart failure (HF) is nowadays classified as HF with reduced ejection fraction (HFrEF), HF with mildly reduced EF (HFmrEF), and HF with preserved EF (HFpEF). Endothelial dysfunction (assessed by flow-mediated dilatation [FMD]), increased arterial stiffness (assessed by carotid-femoral pulse-wave velocity [PWV]), and galectin-3, a biomarker of myocardial fibrosis, have been linked to major adverse cardiovascular events (MACE) in patients with ischemic HF. Methods: In this study we prospectively enrolled 340 patients with stable ischemic HF. We assessed the brachial artery FMD, carotid-femoral PWV, and galectin-3 levels, and patients were followed up for MACE according to EF group. Results: Interestingly, the FMD values exhibited a stepwise improvement according to left ventricular ejection fraction (LVEF) (HFrEF: 4.74 ± 2.35% vs. HFmrEF: 4.97 ± 2.81% vs. HFpEF: 5.94 ± 3.46%, p = 0.01), which remained significant after the evaluation of possible confounders including age, sex, cardiovascular risk factors, and number of significantly stenosed epicardial coronary arteries (b coefficient: 0.990, 95% confidence interval: 0.166–1.814, p = 0.019). Single-vessel coronary artery disease (CAD) was more frequent in the group of HFpEF (HFrEF: 56% vs. HFmrEF: 64% vs. HFpEF: 73%, p = 0.049). PWV did not display any association with LVEF. Patients who presented MACE exhibited worse FMD values (4.51 ± 2.35% vs. 5.32 ± 2.67%, p = 0.02), and the highest tertile of galectin-3 was linked to more MACEs (36% vs. 5.9%, p = 0.01). Conclusions: Flow-mediated dilatation displayed a linear improvement with LVEF in patients with ischemic HF. Deteriorated values are associated with MACE. Higher levels of galectin-3 might be used for risk stratification of patients with ischemic HF

Adipose tissue-derived WNT5A regulates vascular redox signaling in obesity via USP17//RAC1-mediated activation of NADPH oxidases

Obesity is associated with changes in the secretome of adipose tissue (AT), which affects the vasculature through endocrine and paracrine mechanisms. Wingless-related integration site 5A (WNT5A) and secreted frizzled-related protein 5 (SFRP5), adipokines that regulate noncanonical Wnt signaling, are dysregulated in obesity. We hypothesized that WNT5A released from AT exerts endocrine and paracrine effects on the arterial wall through noncanonical RAC1-mediated Wnt signaling. In a cohort of 1004 humans with atherosclerosis, obesity was associated with increased WNT5A bioavailability in the circulation and the AT, higher expression of WNT5A receptors Frizzled 2 and Frizzled 5 in the human arterial wall, and increased vascular oxidative stress due to activation of NADPH oxidases. Plasma concentration of WNT5A was elevated in patients with coronary artery disease compared to matched controls and was independently associated with calcified coronary plaque progression. We further demonstrated that WNT5A induces arterial oxidative stress and redox-sensitive migration of vascular smooth muscle cells via Frizzled 2–mediated activation of a previously uncharacterized pathway involving the deubiquitinating enzyme ubiquitin-specific protease 17 (USP17) and the GTPase RAC1. Our study identifies WNT5A and its downstream vascular signaling as a link between obesity and vascular disease pathogenesis, with translational implications in humans

Assessing Behavior Similarity of Mineral Raw Material Prices through a Feature-Based Clustering Approach

Mineral raw materials prices have been shown to be affected by macroeconomic factors such as aggregate demand and commodity-specific factors (e.g., supply shocks). In addition, it has been shown that certain mineral raw material prices co-move, meaning that they behave similarly during expansion and contraction phases of the international business cycles. In order to assess the behavior similarity of the prices of different mineral raw materials, we propose a method that utilizes extracted features of time series price data and unsupervised learning techniques to create clusters of price movements having similar long-term behavior