Designing a model of social intervention in the children's street work Critical reading of world programs

First this study has tried to provide a global perspective of intervention programs worldwide through documentary andlibrary methods by collecting and reporting on important government intervention programs in the field of street children. In the second step, the present study, considering its sociological and critical position, has evaluated these programs and tried to reveal the neoliberal view behind these programs and to clarify their role in the vulnerability and instability of these programs. In fact, through a meta-analysis of evaluations of successful programs, the neoliberal view is described as a set of policies and plans that prevent these programs from achieving the goal of permanently eliminating street child labor. The results of this study indicate that intervention programs are designed to increase economic growth and therefore suffer from disadvantages such as temporary, limited, disconnected and non-optimal. From the results obtained and according to the data of the analytical part of the research in the final part, a model has been designed and proposed based on the values of inclusiveness, integrity, quality and sustainability

Cloning, expression and purification of pwo polymerase from pyrococcus woesei

Background and objectives: Pyrococcus woesei is a hyperthermophilic archaea and produces a heat stable polymerase (Pwo polymerase) that has proofreading activity. Materials and Methods: In this study, this microorganism was cultured, its DNA was extracted and the pwo gene polymerase was cloned, expressed and purified. The DNA sequence of the cloned gene was verified by sequencing. The pwo polymerase gene consists of 2,328 bps (775 amino acids with about 90 kD molecular weight). Cloning was done by GATEWAY TM Cloning System and for purification of recombinant protein; His6x-Tag was added to the C-terminus of the recombinant protein. Results and Conclusion: We could purify Pwo polymerase enzyme by Ni-NTA resin. PCR assay showed that Pwo polymerase activity is comparable to a commercial Pfu polymerase activity

A case report of heterogeneous blood transfusion in the operating room

Introduction: Mismatched-blood transfusions in the ABO-system may lead to severe of complications such as intravascular hemolysis. Case report: A 49-year-old man suffering from a right lower limb injury due to accident was admitted to hospital. Vital signs were normal. X-ray showed a femoral neck fracture. Before surgery, all of lab tests were in normal values and B+ blood-group was reported. During surgery and due to blood loss, the patient underwent blood transfusion. At the end of transfusion, a mismatched blood bag was observed. The patient had received about 400 cc mismatchedblood. Transfusion was promptly terminated and the patient received extensive IV fluids in addition to a single dose of furosemide. The patient had stable status without signs of overt hemolysis. After 3 days stay at intensive care unit, he was transferred to the ward with a stable status. Conclusion: In spite of mismatched blood transfusion, the patient did not experience severe adverse events. To prevent this problem, different steps of blood transfusion should be checked by anesthesiologist. © 2020, Semnan University of Medical Sciences. All rights reserved

Integrated analysis of gene expression profiles reveals deregulation of the immune response genes during different phases of chronic hepatitis B infection

© 2017, Kowsar Corp.Background: The natural history of chronic hepatitis B (CHB) infection is divided into different phases including immune tolerance (IT), immune clearance (or immune active [IA]), inactive carrier (IC), and reactivation. Despite utilizing high-throughput data, the distinct immunological mechanisms of these phases have been insufficiently investigated. Objectives: The aim of the present study was to determine candidate disease-associated genes and significantly altered biological processes for each phase of CHB infection. Methods: The gene expression profiles of 83 CHB patients (22 IT, 50 IA, and 11 IC phases) were obtained from gene expression omnibus (GEO dataset: GSE65359) and analyzed by bioinformatics tools. Several plugins of Cytoscape software were used to construct protein-protein interaction (PPI) networks and measure their topological properties. Subsequently, functional annotation and signaling pathway enrichment were carried out using the database for annotation, visualization and integrated discovery (DAVID) and Kyoto encyclopedia of genes and genomes (KEGG). Results: 449 and 452 deregulated genes were identified in IT-IA and IA-IC patients, respectively. Gene ontology and KEGG pathway analyses showed that several immune response-associated genes and signaling pathways (i.e. cytokine-cytokine receptor interaction, chemokine signaling pathway and T cell receptor signalling pathway) were upregulated in the IA phase, but downregulated in the IC phase. The LCK (encoding a tyrosine kinase) was determined as the most important hub gene of both constructed PPI networks. Furthermore, other immune response-associated genes such as CXCR3, VCAN, MYC, and STAT1 were found to be the important hub genes in clinical phases of CHB. Conclusions: The immune response-related pathways were found to be up and downregulated in the immune clearance phase and inactive carrier phase of CHB, respectively. The LCK hub gene might help the pathogenesis of different phases of CHB and serve as a therapeutic target for the treatment of hepatitis B virus

Regulatory network analysis of Epstein-Barr virus identifies functional modules and hub genes involved in infectious mononucleosis

© 2017, Springer-Verlag Wien.Epstein-Barr virus (EBV) is the most common cause of infectious mononucleosis (IM) and establishes lifetime infection associated with a variety of cancers and autoimmune diseases. The aim of this study was to develop an integrative gene regulatory network (GRN) approach and overlying gene expression data to identify the representative subnetworks for IM and EBV latent infection (LI). After identifying differentially expressed genes (DEGs) in both IM and LI gene expression profiles, functional annotations were applied using gene ontology (GO) and BiNGO tools, and construction of GRNs, topological analysis and identification of modules were carried out using several plugins of Cytoscape. In parallel, a human-EBV GRN was generated using the Hu-Vir database for further analyses. Our analysis revealed that the majority of DEGs in both IM and LI were involved in cell-cycle and DNA repair processes. However, these genes showed a significant negative correlation in the IM and LI states. Furthermore, cyclin-dependent kinase 2 (CDK2) – a hub gene with the highest centrality score – appeared to be the key player in cell cycle regulation in IM disease. The most significant functional modules in the IM and LI states were involved in the regulation of the cell cycle and apoptosis, respectively. Human-EBV network analysis revealed several direct targets of EBV proteins during IM disease. Our study provides an important first report on the response to IM/LI EBV infection in humans. An important aspect of our data was the upregulation of genes associated with cell cycle progression and proliferation

Discovering the typing behaviour of Parkinson's patients using topic models

Sensing health-related behaviours in an unobtrusive, ubiquitous and cost-effective manner carries significant benefits to healthcare and patient management. In this paper, we focus on detecting typing behaviour that is characteristic of patients suffering from Parkinson’s disease. We consider typing data obtained from subjects with and without Parkinson’s, and we present a framework based on topic models that determines the differing behaviours between these two groups based on the key hold time. By learning a topic model on each group separately and measuring the dissimilarity between topic distributions, we are able to identify particular topics that emerge in Parkinson’s patients and have low probability for the control group, demonstrating a clear shift in terms of key stroke duration. Our results further support the utilisation of key stroke logs for the early onset detection of Parkinson’s disease, while the method presented is straightforwardly generalisable to similar applications