Optimal Location Design for Prediction of Spatial Correlated Environmental Functional Data

The optimal choice of sites to make spatial prediction is critical for a better understanding of really spatio-temporal data. It is important to obtain the essential spatio-temporal variability of the process in determining optimal design, because these data tend to exhibit both spatial and temporal variability. Two new methods of prediction for spatially correlated functional data are considered. The first method models spatial dependency by fitting variogram to empirical variogram, similar to ordinary kriging (univariate approach). The second method models spatial dependency by linear model co-regionalization (multivariate approach). The variance of prediction method was chosen as the optimization design criterion. An application to CO concentration forecasting was conducted to examine possible differences between the design and the optimal design without considering temporal structure

The New Perceptions on Life of Iranian Patients with Ankylosing Spondylitis: A Qualitative Study

Various studies suggest that ankylosing spondylitis (AS) as a chronic inflammatory disease with many disabilities can have impacts on different aspects of patients’ life. Despite many quantitative studies, only few qualitative studies have thus far been published on this subject. For the first time, the present study aims at gaining insight into the life experience of Iranian AS patients. We performed a content analysis through semi-structured interviews with twenty-eight patients diagnosed with AS, including three females and twenty-five males with an average age of 38.5 years, to gain insight into their experiences. Whatever the patients expressed was written and transcribed verbatim. Then, we did analysis of the results after each interview. The detailed information completely extracted from the interviews was classified as sub-themes and main themes. Three main themes were identified by the analysis: (i) “Always with pain” describing the effects were found in regard to pain on patients’ life, (ii) “The perceived limitation” describing many difficulties that people may face in the society as a result of their disease, and (iii) “Fearing the unknown future” which implies to both patients and their families have concerns about the future and what will happen. Our research findings in line with other qualitative studies showed that AS disease puts a heavy and intolerable burden on patients and their family. It seems that the experiences of people living with AS can be useful to meet challenges caused by the disease and it can enhance their coping with the disease

Design of QCA Full Adders without wire crossing

In the scale of nanometer, Quantum-dot Cellular Automata (QCA) is a new technology, which utilizes the QCA cells in order to design and implement logical circuits. QCA makes it possible for us to design in Nano scale. Furthermore, in comparison to CMOS technology, it has highly low consumption power. Thus, in the future, QCA technology will be a powerful rival for VLSI. This paper presents two new and optimized QCA designs for Full adder. In comparison to the previous designs, all of the QCA Full adders presented in this paper are relatively optimized. In addition, they are implemented without any wire crossing. In order to test the proposed QCA Layouts and also display the results of the simulations, QCADesigner software is used

Effect of Novel Zein Coating Combined with Different Antioxidants (Thymol and Carvacrol) on the Aflatoxin Production of Peanut

Introduction: Aflatoxin contamination of agricultural crops leads to health hazards and detrimental to the economy. Despite enhanced processing, handling and storage, it remains an issue in the peanut industry. An effort was made to investigate the efficacy of corn zein coating combined with thymol and carvacrol as the edible coating may extend aflatoxinproduction. Methods: Analysis of aflatoxins B1, B2 and total were performed for 11 treatments on coated and uncoated peanuts stored at room temperature for 90 days. Treatments were included zein, thymol (500, 1000, 1500 ppm), carvacrol (5000, 10000, 15000 ppm), incorporating thymol and carvacrol at three different concentrations and control. Results: Significant differences between coated and uncoated treatments were observed (

Downregulation of ITM2A Gene Expression in Macrophages of Patients with Ankylosing Spondylitis

Objectives: Ankylosing spondylitis (AS) is a rheumatic disorder that is mostly determined by genetic and environmental factors. Given the known importance of macrophage in AS pathogenesis, we investigated the transcriptional profile of macrophage cells in the disease. Methods and Results: Two approaches of differential expression and subsequently, weighted gene co-expression network analysis was utilized to analyze a publicly available microarray dataset of macrophages. Integral membrane protein 2A (ITM2A) was among the most significant genes with a decreased trend in the common results of both methods. In order to confirm the finding, the expression of ITM2A was evaluated in monocyte-derived (M2-like) and M1 macrophages obtained from 14 AS patients and 14 controls. Macrophages were differentiated from whole-blood separated monocytes by 7 days incubating with macrophage colony-stimulating factor and then macrophages specific markers were verified with the flow cytometer. M1 polarization was induced by IFN-gamma and lipopolysaccharide. Finally, relative gene expression analysis by real-time polymerase chain reaction revealed a significant downregulation of the ITM2A gene in both M2 like and M1 macrophages of the AS group compared to the control. Conclusion: Since ITM2A plays a critical role in osteo- and chondrogenic cellular differentiation, our finding may provide new insights into AS pathogenesis.Peer reviewe

New mechanistic insights into hepatoprotective activity of milk thistle and chicory quantified extract: The role of hepatic Farnesoid-X activated receptors

Objective: Farnesoid-X-activated receptors (FXR) are key modulators of liver regeneration. Milk thistle and Chicory are known as potent protective remedies in several liver disorders. The objective of this work was to examine the role of FXR in the hepato-healing properties of milk thistle (MTE) and chicory extracts (CE) in a rat model of acetaminophen-induced hepatotoxicity. Materials and Methods: Male Wistar rats were randomly divided into seven groups including control, vehicle, acetaminophen (500 mg/kg/day, oral), acetaminophen plus oral MTE 200 and 400 mg/kg/day, and acetaminophen plus oral CE 500 and 1000 /kg/day for 28 days. Liver function and histology as well as the pattern of hepatic FXR expression were assessed after 4 weeks. Results: Administration of acetaminophen was associated with a significant elevation of liver transaminase along with the architectural injuries. In contrast, chronic concomitant administration of both MTE and CE significantly restored the liver function and structural abnormality. The main molecular findings of the study revealed that the lower doses of both MTE and CE led to a marked upregulation of hepatic FXR expression. Conclusion: Discovery of the involvement of the nuclear modulating pathways in hepatoprotective activity of the extracts, providesa new mechanistic insight which needs further investigations

Decoding Clinical Biomarker Space of COVID-19: Exploring Matrix Factorization-based Feature Selection Methods

One of the most critical challenges in managing complex diseases like COVID-19 is to establish an intelligent triage system that can optimize the clinical decision-making at the time of a global pandemic. The clinical presentation and patients’ characteristics are usually utilized to identify those patients who need more critical care. However, the clinical evidence shows an unmet need to determine more accurate and optimal clinical biomarkers to triage patients under a condition like the COVID-19 crisis. Here we have presented a machine learning approach to find a group of clinical indicators from the blood tests of a set of COVID-19 patients that are predictive of poor prognosis and morbidity. Our approach consists of two interconnected schemes: Feature Selection and Prognosis Classification. The former is based on different Matrix Factorization (MF)-based methods, and the latter is performed using Random Forest algorithm. Our model reveals that Arterial Blood Gas (ABG) O2 Saturation and C-Reactive Protein (CRP) are the most important clinical biomarkers determining the poor prognosis in these patients. Our approach paves the path of building quantitative and optimized clinical management systems for COVID-19 and similar diseases

Potential health and economic impacts of dexamethasone treatment for patients with COVID-19

Acknowledgements We thank all members of the COVID-19 International Modelling Consortium and their collaborative partners. This work was supported by the COVID-19 Research Response Fund, managed by the Medical Sciences Division, University of Oxford. L.J.W. is supported by the Li Ka Shing Foundation. R.A. acknowledges funding from the Bill and Melinda Gates Foundation (OPP1193472).Peer reviewedPublisher PD

Intensification of heat exchanger performance utilizing nanofluids

Heat exchangers are widely utilized in different thermal systems for diverse industrial aspects. The selection of HEx depends on the thermal efficiency, operating load, size, flexibility in operation, compatibility with working fluids, better temperature and flow controls, and comparatively low capital and maintenance costs. Heat transfer intensification of heat exchangers can be fulfilled using passive, active, or combined approaches. Utilizing nanofluids as working fluids for heat exchangers have evolved recently. The performance of heat exchangers employed different nanofluids depends mainly on the characteristics and improvement of thermophysical properties. Regarding the unique behavior of different nanofluids, researchers have attended noteworthy progress. The current study reviews and summarizes the recent implementations carried out on utilizing nanofluids in different types of heat exchangers, including plate heat exchangers, double-pipe heat exchangers, shell and tube heat exchangers, and cross-flow heat exchangers. The results showed that nanofluids with enhanced thermal conductivity, although accompanied by a considerable decrease in the heat capacity and raising viscosity, has resulted in performance enhancement of different heat exchangers types. So, the performance evaluation criterion that combines the thermal enhancement and increases the pumping power for any type of heat exchangers is requisite to evaluate the overall performance properly. The challenges and opportunities for future work of heat transfer and fluid flow for different types of heat exchangers utilizing nanofluids are discussed and presented