Social Capital and Citizens’ Attitudes towards Migrant Workers

This study examines Qatari citizens’ attitudes toward migrant workers. While much research has been conducted on citizens’ attitudes toward the abolition, tightening, or loosening of the Kafāla system in the Gulf Cooperation Council (GCC) countries with regard to migrant workers’ residency rights, and on their contribution to the economic development of these countries, little is known about how citizens’ religiosity and social engagement impact their acceptance of migrant workers. In the present study, we address this question by examining the effects of religious and social capital on Qatari citizens’ preferences for having Arab and Western migrant workers as neighbours, drawing on data from two nationally representative surveys in Qatar. The results indicate that, even after controlling for a wide range of socio-demographic attributes, social capital in terms of trust and bridging social ties has a strong effect on the Qatari nationals’ preferences

'I-V Characteristic and Crystal Structural Of a-As/c-Si Heterojunctions

In this research the a-As flims have been prepared by thermal evaporation with thickness 250 nm and rata of deposition r_d(1.04nm/sec) as function to annealing temperature (373 and 473K), from XRD analysis we can see that the degree of crystalline increase with T_a, and I-V characteristic for dark and illumination shows that forward bias current varieties approximately exponentially with voltage bias. Also we found that the quality factor and saturation current dependence on annealing temperatures

A surveillance system to assess the need for updating systematic reviews.

BackgroundSystematic reviews (SRs) can become outdated as new evidence emerges over time. Organizations that produce SRs need a surveillance method to determine when reviews are likely to require updating. This report describes the development and initial results of a surveillance system to assess SRs produced by the Agency for Healthcare Research and Quality (AHRQ) Evidence-based Practice Center (EPC) Program.MethodsTwenty-four SRs were assessed using existing methods that incorporate limited literature searches, expert opinion, and quantitative methods for the presence of signals triggering the need for updating. The system was designed to begin surveillance six months after the release of the original review, and then ceforth every six months for any review not classified as being a high priority for updating. The outcome of each round of surveillance was a classification of the SR as being low, medium or high priority for updating.ResultsTwenty-four SRs underwent surveillance at least once, and ten underwent surveillance a second time during the 18 months of the program. Two SRs were classified as high, five as medium, and 17 as low priority for updating. The time lapse between the searches conducted for the original reports and the updated searches (search time lapse - STL) ranged from 11 months to 62 months: The STL for the high priority reports were 29 months and 54 months; those for medium priority reports ranged from 19 to 62 months; and those for low priority reports ranged from 11 to 33 months. Neither the STL nor the number of new relevant articles was perfectly associated with a signal for updating. Challenges of implementing the surveillance system included determining what constituted the actual conclusions of an SR that required assessing; and sometimes poor response rates of experts.ConclusionIn this system of regular surveillance of 24 systematic reviews on a variety of clinical interventions produced by a leading organization, about 70% of reviews were determined to have a low priority for updating. Evidence suggests that the time period for surveillance is yearly rather than the six months used in this project

Moringa oleifera Lam. (family Moringaceae) leaf extract attenuates high-fat diet-induced dyslipidemia and vascular endothelium dysfunction in Wistar albino rats

Purpose: To investigate the protective effect of methanol extract of Moringa oleifera leaves (MEMO) in high-fat diet (HFD)-induced dyslipidemia and vascular endothelium dysfunction. Methods: Dose-dependent attenuating effect of MEMO was tested at doses of 200 and 400 mg/kg/day in an in vivo model of HFD-induced dyslipidemia using rats whereas vascular endothelial reactivity was assessed in isolated rat aorta using ex vivo organ bath setup. Results: MEMO administration in HFD-induced dyslipidemic rats for 3 consecutive weeks, resulted in significant decrease in rat body weight, LW/BW and RFPW/BW ratio when compared to rats treated with HFD only where an increase in body weight was observed. Decrease in the average daily feed intake and significant reductions in waist, Lee index and BMI was also observed after MEMO treatment in HFD-induced dyslipidemic rats. Lipid profile data indicate that HFD group showed significant increase in total cholesterol, triglyceride, LDL and VLDL levels while HDL levels decreased significantly. On the other hand, MEMO treatment improved lipid profile compared to HFD group. Ex-vivo isolated aorta results revealed that MEMO treatment reversed HFD-induced endothelium dysfunction when compared to SD group. Conclusion: MEMO treatment produces dose-dependent improvement in lipid profile and vascular endothelium protection, thereby rationalizing its traditional medicine use in the treatment of dyslipidemia and cardiovascular related endothelial disorders

The prognostic significance of ALDH1A1 expression in early invasive breast cancer

Aims: Aldehyde dehydrogenase family 1 member A1 (ALDH1A1)is reportedly a key ALDH isozyme linked to the cancer stem cells (CSC) of many solid tumours, where it is involved in self-renewal, differentiation and self-protection. In this study, the prognostic significance of ALDH1A1 expression in early invasive breast cancer (BC) and its role as a BC stem cell (BCSC) were evaluated.Methods: ALDH1A1 expression was assessed, using immunohistochemistry and tissue microarrays, in a large well- characterised BC cohort. ALDH1A1 mRNA expression was also assessed at the transcriptomic levels, utilising data from the Molecular Taxonomy of Breast Cancer International Consortium. The associations of ALDH1A1 with clinicopathological parameters, other stem cell markers and patient outcomes were determined.Results: ALDH1A1 was expressed in 71% of BC cases, at both the protein and mRNA levels. High ALDH1A1 expression was associated with poor prognostic features, including high grade, poor Nottingham Prognostic Index (NPI), lymph node metastasis and highly proliferative ER+ (luminal B) and triple negative (TNBC) subtypes. ALDH1A1 expression was positively correlated with the expression of CD44, CD24, TWIST, SOX9, EPCAM and CD133. The high immunoexpression of ALDH1A1 was significantly associated with poor BC-specific survival [less than] 0.001), and specifically in the luminal B and TNBC subtypes (P=0.042 and P=0.003, respectively). The immunoexpression of ALDH1A1 was an independent predictor of poor prognosis (P=0.015).Conclusions: ALDH1A1, as assessed using IHC, seems to act as a BCSC marker associated not only with other BCSC markers but also with poor prognostic characteristics and poor outcomes, particularly in the luminal B and TNBC subtypes

Management of diabetes and arthritis –A systematic review

Purpose: Diabetes is a metabolic syndrome with reported musculoskeletal  effects. This systemic review aimed to identify a relationship between  diabetes and arthritis; disease-related risk factors, the effect of diet in disease management and the effect of anti-arthritic drugs on diabetes  treatment.Methods: This study analysed 20 articles identified and selected according to the study criteria. PRISMA guidelines were used for identification and screening of literature. Data search covered several primary databases, including Pubmed, Wiley library, Scopus, Clinical Trial Registry, etc.Results: The study findings suggest a significant correlation between  diabetes and arthritis. Obesity, impaired glucose tolerance (MS  components), vascular cell adhesion molecule 1 (VCAM-1) hypertension and dyslipidemia are the most common risk factors leading to disease progression. Omega -3-fatty acid showed no protective effect on disease condition.Conclusion: The findings indicate that anti-tumor necrosis factor (Tnf)-α, disease modifying antirheumatic drugs, and Interleukin receptors  antagonist improved the efficacy of diabetic medication and maintained blood sugar levels. However, Tnf-α reduced glucose intolerance, and therefore, its therapeutic use in conjunction with diabetic medications should be limited.Keywords: Diabetes, Arthritis, Risk factors, Diet, Pathogenesis, Disease progression, Medicatio

Application of Metaheuristic Algorithms and ANN Model for Univariate Water Level Forecasting

With the rapid development of machine learning (ML) models, the artificial neural network (ANN) is being increasingly applied for forecasting hydrological processes. However, researchers have not treated hybrid ML models in much detail. To address these issues, this study herein suggests a novel methodology to forecast the monthly water level (WL) based on multiple lags of the Tigris River in Al-Kut, Iraq, over ten years. The methodology includes preprocessing data methods, and the ANN model optimises with a marine predator algorithm (MPA). In the optimisation procedure, to decrease uncertainty and expand the predicting range, the slime mould algorithm (SMA-ANN), constriction coefficient-based particle swarm optimisation and chaotic gravitational search algorithms (CPSOCGSA-ANN), and particle swarm optimisation (PSO-ANN) are applied to compare and validate the MPA-ANN model performance. Analysis of results revealed that the data pretreatment methods improved the original data quality and selected the ideal predictors' scenario by singular spectrum analysis and mutual information methods, respectively. For example, the correlation coefficient of the first lag improved from 0.648 to 0.938. Depending on various evaluation metrics, MPA-ANN tends to forecast WL better than SMA-ANN, PSO-ANN, and CPSOCGSA-ANN algorithms with coefficients of determination of 0.94, 0.81, 0.85, and 0.90, respectively. Evidence shows that the proposed methodology yields excellent results, with a scatter index equal to 0.002. The research outcomes represent an additional step towards evolving various hybrid ML techniques, which are valuable to practitioners wishing to forecast WL data and the management of water resources in light of environmental shifts

Co-Expression Effect of SLC7A5/SLC3A2 to Predict Response to Endocrine Therapy in Oestrogen-Receptor-Positive Breast Cancer

The majority of breast cancers are oestrogen receptor positive (ER+) and are subject to endocrine therapy however, an unpredictable subgroup of patients will develop resistance to endocrine therapy. SLC7A5/SLC3A2 complex is a major route for the transport of large neutral essential amino acids through the plasma membrane. Alterations in the expression and function of those amino acid transporters lead to metabolic reprogramming, which contributing to the tumorigenesis and drug resistance. This study aims to assess the effects and roles of SLC7A5/SLC3A2 co-expression in predicting response to endocrine therapy in patients with ER+ breast cancer. The biological and clinical impact of SLC7A5/SLC3A2 co-expression was assessed in large annotated cohorts of ER+/HER2- breast cancer with long-term follow-up at the mRNA and protein levels. In vitro experiments were conducted to investigate the effect of SLC7A5/SLC3A2 knockdown in the proliferation of cancer cells and to the sensitivity to tamoxifen. We found that proliferation-related genes are highly expressed in subgroup of patients with high SLC7A5/SLC3A2, and knockdown of SLC7A5/SLC3A2 decreased proliferation of ER+ breast cancer cells. In patients treated with endocrine therapy, high SLC7A5/SLC3A2 co-expression was associated with poor patient outcome, and depletion of SLC7A5/SLC3A2 using siRNA increased the sensitivity of breast cancer cells to tamoxifen. On the basis of our findings, SLC7A5/SLC3A2 co-expression has the potential of identifying a subgroup of ER+/HER2- breast cancer patients who fail to benefit from endocrine therapy and could guide the choice of other alternative therapy