Three-Dimensional Simulation of Flow Field in Morning Glory Spillway to Determine Flow Regimes (Case Study: Haraz Dam)

Morning-glory spillways are usually used in dams constructed in narrow valleys or those on steeply sloped supports. Furthermore, one can adopt this type of spillway in cases where guiding and diversion tunnels of adequate diameter are available. One of positive characteristics of these spillways is that, their maximum capacity can be approached at relatively low head. This characteristic can be seen as an advantage in cases wherein maximum outflow from the spillway shall be limited. On the other hand, should water head on top of the spillway exceeds the project baseline head, changes in output discharge will be negligible. Morning-glory spillways are commonly used in large dam construction projects across Iran (e.g. Sefid-Rood Dam, Alborz Dam, Haraz Dam, etc.). Given that spillway is one of the most important axillary structures for dams, accurate and realistic characterization of the hydraulic conditions affecting them seems to be necessary. On this basis, the present research is aimed at accurate determination of flow behavior and discharge coefficient of morning-glory spillways from the flow inlet down to horizontal tunnel of the morning-glory spillway of Haraz Dam. For this purpose, the most significant hydraulic parameters (including flow depth, flow velocity, flow pressure at different sections of the spillway, and rate of outflow at spillway) will be determined. In this study, an effort was made to use the numerical model of Flow3D to numerically model three-dimensional flow based on physical model and actual data from one of the largest and most important morning-glory spillways for calibration and verification purposes, and determine accuracy of the numerical modeling and associated error with simulating the numerical model. Results of this study show that, the flow at morning-glory spillways is controlled in either of three modes: flow control at crest, orifice control, and pipe control

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The role of vitamin D3 and vitamin B9 (Folic acid) in immune system

ABSTRACT Background and aims: Vitamins are essential constituents of our diet that Longley have been known to influence the immune system. Vitamin D3 and B9 have received particular attention in recent years as these vitamins have been shown to have an unexpected and crucial effect on the immune response. 1, 25(OH)2D3 metabolizing enzymes and vitamin D receptor (VDR) are present in many cell types including various immune cells such as antigen-presenting-cells, T cells, B cells. Methods: In this mini review, we study 30 novel articles since 2009 to 2015 about the essential roles of vitamins in modulating a broad range of immune processes, such as lymphocyte activation, T-helper-cell differentiation and regulation of the immune response. Results: 1, 25(OH)2D3 has direct effect on CD4+ T (T-helper) cells for suppressing various cytokines such as IFN-γ, IL-17, IL-21 and IL-22, while enhancing the regulatory Tcells. In vitro studies show that Treg cells could be differentiated from naive T cells in vitamin B9-reduced condition. Conclusions: These findings provide a new link between diet and the immune system, which could maintain the immunological homeostasis and clarify the beneficial roles of vitamins in informing the design of vitamin analogs as pharmacologic agents for the generation and maintenance of a healthy immune condition

The role of T helper 9(Th9) against Infectious Diseases

Background and aims: Infectious diseases are disorders caused by organisms such as bacteria, viruses, fungi or parasites .The Th9 subset develops in response to combined signals from TGF-b and IL-4 among a cacophony of other cytokines in an extracellular milieu. T helper 9 (Th9) cells, as a novel CD4 T cell subset, seem to play a complex role in the outcome of specific immune responses. In this article, we aimed to review the role of these cells in infectious disease. Methods: In this mini-review study, we study 25 novel articles since 2009 to 2014 about the role of T helper 9 in some Infectious Diseases. Results: Pleural mesothelial cells promoted Th9 cell differentiation by presenting antigen. It significantly differentiated Th17, but not Th9 cells in the development of CVB3-induced VMC. The microenvironment of VMC seemed to contribute to the differentiation and proliferation of Th17 rather than to differentiation of Th9 cells. Having reviewed the limited number of articles considering this relevance, we came to this result that Lymphatic Filariasis and mycobacterium tuberculosis infections confirmed the existence of such relationship. In addition, Rapamycin resistant murine Th9 cells have a stable in vivo phenotype and inhibit graft-versus-host reactivity but concerning Viral Myocarditis, Th9 cells could not protect against it. Conclusion: The accurate molecular mechanisms underlying the generation and differentiation of human Th9 cells are not elucidated completely. Th9 cells exhibit Ag specific expansion in a chronic helminth infection (lymphatic filariasis), but in relevance to viral myocarditis, Th9 cells did not play an efficient role against it. However; knowing that whether Th9 cells participate in the protection against infections needs further research

Upregulation of miR-210 promotes differentiation of mesenchymal stem cells (MSCs) into osteoblasts

Numerous studies indicated that microRNAs are critical in the regulation of cellular differentiation, by controlling the expression of underlying genes. The aim of this study was to investigate the effect of miR-210 upregulation on differentiation of human umbilical cord blood (HUCB)-derived mesenchymal stem cells (MSCs) into osteoblasts. MSCs were isolated from HUCB and confirmed by their adipogenic/osteogenic differentiation and flow cytometric analysis of surface markers. Pre-miR-210 was amplified from human DNA, digested and ligated with plenti-III-mir-green fluorescent protein (GFP) vector, and cloned in STBL4 bacteria. After confirmation with polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), the plenti-III-GFP segment bearing pre-miR-210 was transfected into MSCs by electroporation. Two control vectors, pmaxGFP and Scramble, were transfected separately into MSCs. The expression of miR-210 and genes related to osteoblast differentiation, i.e., runt-related transcription factor 2 (Runx2), alkaline phosphatase (ALP) and osteocalcin gene, in the three groups of transfected MSCs was analyzed 0, 7, 14, and 21 days of transfection by quantitative reverse transcription PCR (qRT-PCR). Overexpression of miR-210 was observed in MSCs transfected with miR-210-bearing plasmid, and this was significantly different compared to Scramble group (p < 0.05). Significantly increased expression of Runx2 (at day 7 and 14), ALP and osteocalcin genes (at all time points for both genes) was observed in MSCs with miR-210-bearing plasmid compared to controls. Overall, the overexpression of miR-210 in MSCs led to MSC differentiation into osteoblasts, most probably by upregulating the Runx2, ALP, and osteocalcin genes at different stages of cell differentiation. Our study confirms the potential of miRNAs in developing novel therapeutic strategies that could target regulatory mechanisms of cellular differentiation in various disease states

A Post-Marketing Surveillance Study to Evaluate the Safety Profile of AlvotereⓇ (Docetaxel) in Iranian Patients Diagnosed with Different Types of Cancers Receiving Chemotherapy

Background Docetaxel is a clinically well established antimitotic chemotherapy medication. Labeled docetaxel indications are breast cancer, gastric cancer, head and neck cancer, non–small cell lung cancer, and prostate cancer. Objective This is a Phase IV study to evaluate the safety profile of docetaxel (Alvotere; NanoAlvand, Iran) in Iranian patients diagnosed with different types of cancers receiving chemotherapy regimens with docetaxel. Methods Patients who received Alvotere as a part of their chemotherapy regimen were enrolled in this Phase IV, observational, multicenter, open-label study. Alvotere was administrated as a single agent or in combination with other chemotherapy agents. Safety parameters in each cycle were assessed, and the related data were recorded in booklets. Findings A total of 411 patients with different types of cancers were enrolled from 25 centers in Iran. The most common malignancies among participants were breast cancer (49.88%), followed by gastric cancer (22.63%). Participants’ mean age was 53.33 years, and the mean total dose used in each cycle was 132 mg. According to the results, 341 patients experienced at least 1 adverse event, that the most common was alopecia (41.12%). In total, 92 (22.38%) patients had at least 1 adverse event of grade 3 or 4, and 25 (6.08%) patients showed 54 serious adverse events, which the causality assessment for all was possibly related to Alvotere. There was a significant difference between men and women in the incidence of skin and subcutaneous tissue disorders (55.63% in women vs 41.73% in men; P = 0.009). Also, the incidence of gastrointestinal disorders, nervous system disorders, skin and subcutaneous tissue disorders, hepatic enzymes increase, and fluid retention was significantly higher (P < 0.05) in patients receiving anthracyclines in their chemotherapy regimens. Conclusions The findings of this open-label, observational, multicenter, postmarketing surveillance showed that Alvotere appears to have an acceptable safety profile in Iranian cancer patients receiving chemotherapeutic regimens. (Curr Ther Res Clin Exp. 2022; 82:XXX–XXX) © 2022 Elsevier HS Journals, Inc

IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study

PurposeRobust biomarkers that predict disease outcomes amongst COVID-19 patients are necessary for both patient triage and resource prioritisation. Numerous candidate biomarkers have been proposed for COVID-19. However, at present, there is no consensus on the best diagnostic approach to predict outcomes in infected patients. Moreover, it is not clear whether such tools would apply to other potentially pandemic pathogens and therefore of use as stockpile for future pandemic preparedness.MethodsWe conducted a multi-cohort observational study to investigate the biology and the prognostic role of interferon alpha-inducible protein 27 (IFI27) in COVID-19 patients.ResultsWe show that IFI27 is expressed in the respiratory tract of COVID-19 patients and elevated IFI27 expression in the lower respiratory tract is associated with the presence of a high viral load. We further demonstrate that the systemic host response, as measured by blood IFI27 expression, is associated with COVID-19 infection. For clinical outcome prediction (e.g., respiratory failure), IFI27 expression displays a high sensitivity (0.95) and specificity (0.83), outperforming other known predictors of COVID-19 outcomes. Furthermore, IFI27 is upregulated in the blood of infected patients in response to other respiratory viruses. For example, in the pandemic H1N1/09 influenza virus infection, IFI27-like genes were highly upregulated in the blood samples of severely infected patients.ConclusionThese data suggest that prognostic biomarkers targeting the family of IFI27 genes could potentially supplement conventional diagnostic tools in future virus pandemics, independent of whether such pandemics are caused by a coronavirus, an influenza virus or another as yet-to-be discovered respiratory virus

Recurrence of Breast Cancer and Analyzing Non-compliance with a Clinical Guideline

In medicine, data are produced from different sources and continuously stored in data depositories. Examples of these growing databases are quality registries. In Sweden, there are many cancer registries where data on cancer patients are gathered and recorded and are used mainly for reporting survival analyses to high level health authorities. In this thesis, a breast cancer quality registry operating in South-East of Sweden is used as the data source for newer analytical techniques, i.e. data mining as a part of knowledge discovery in databases (KDD) methodology. Analyses are done to sift through these data in order to find interesting information and hidden knowledge. KDD consists of multiple steps, starting with gathering data from different sources and preparing them in data pre-processing stages prior to the main analysis with data mining. Data were cleaned from outliers and noise and missing values were handled. Then a proper subset of the data was chosen by canonical correlation analysis (CCA) in a dimensionality reduction step. Thi