Augmentation of Recipient Adaptive Alloimmunity by Donor Passenger Lymphocytes within the Transplant.

Chronic rejection of solid organ allografts remains the major cause of transplant failure. Donor-derived tissue-resident lymphocytes are transferred to the recipient during transplantation, but their impact on alloimmunity is unknown. Using mouse cardiac transplant models, we show that graft-versus-host recognition by passenger donor CD4 T cells markedly augments recipient cellular and humoral alloimmunity, resulting in more severe allograft vasculopathy and early graft failure. This augmentation is enhanced when donors were pre-sensitized to the recipient, is dependent upon avoidance of host NK cell recognition, and is partly due to provision of cognate help for allo-specific B cells from donor CD4 T cells recognizing B cell MHC class II in a peptide-degenerate manner. Passenger donor lymphocytes may therefore influence recipient alloimmune responses and represent a therapeutic target in solid organ transplantation.This work was supported by a British Heart Foundation project grant, the National Institute of Health Research Cambridge Biomedical Research Centre and the National Institute of Health Research Blood and Transplant Research Unit. IGH and JMA were supported by a Wellcome Trust Clinical Research Training Fellowship and Raymond and Beverly Sackler Scholarship. KSP was supported by an Academy of Medical Sciences / Wellcome Trust starter grant.This is the final version of the article. It first appeared from Elsevier via https://doi.org/10.1016/j.celrep.2016.04.00

Networked Stackelberg Competition in a Demand Response Market

In the classical Cournot model, each firm tries to maximize its own payoff by deciding an optimal strategy for determining the quantity of goods produced during each time period–i.e. turn, of the game. In the typical application, all firms compete in the same market. In more recent economic models, firms compete across a number of markets simultaneously. In this situation, a Networked Cournot Competition (NCC) graph models the relationship between firms and markets. This paper describes a model of competition among demand response aggregators (DRAs) as firms to sell energy (as a homogeneous good) stored in aggregated residential batteries in a networked environment where market constraints are effected and trades are generally facilitated through the actions of a market maker who's turn is sequentially distinct from the other players. We call this game Networked Stackelberg Competition (NSC). The impact of strategic anticipative behavior in networked markets is of paramount importance in distinguishing NSC from other competition models. For each firm, the optimal bidding strategy and Nash equilibrium are obtained through analyses of in an incomplete-information game. DRAs submit quantity bids and the market maker (system operator) controls the transaction power and transaction price over the network subject to transmission constraints and other market policies. Criteria required for existence of uniqueness of a Nash equilibrium are presented, and effectiveness of the game is also studied in the paper demonstrating demand response scheduling improves market situations. The details are presented in the application of a NSC model to real world case study data taken from the island of Maui, Hawaii

Evaluation of frequency magnetic field, static field, and Temozolomide on viability, free radical production and gene expression (p53) in the human glioblastoma cell line (A172)

Thirteen million cancer deaths and 21.7 million new cancer cases are expected in the world by 2030. Glioblastoma is the most common primary malignant tumor of the central nervous system which is the most lethal type of primary brain tumor in adults with the survival time of 12�15 months after the initial diagnosis. Glioblastoma is the most common and most malignant type of brain tumor, and despite surgery, chemotherapy and radiation treatment, the average survival of patients is about 14 months. The current research showed that the frequency magnetic field (FMF) and static magnetic field (SMF) can influence cancer cell proliferation and coupled with anticancer drugs may provide a new strategy for cancer therapy. At the present study, we investigated the effects of FMF (10 Hz, 50 G), SMF (50 G) and Temozolomide (200 μm) on viability, free radical production, and p53 followed by p53 protein expression in the human glioblastoma cell line (A172) by MTT, NBT, RT-PCR and Western blot. Results showed that the effect of Temozolomide (TMZ) with SMF and FMF together increased the cytotoxicity, free radical production, and p53 followed by p53 protein expression in the human glioblastoma cell line (A172). © 2020, © 2020 Taylor & Francis Group, LLC

Resource allocation in an open RAN system using network slicing

Abstract The next radio access network (RAN) generation, open RAN (O-RAN), aims to enable more flexibility and openness, including efficient service slicing, and to lower the operational costs in 5G and beyond wireless networks. Nevertheless, strictly satisfying quality-of-service requirements while establishing priorities and promoting balance between the significantly heterogeneous services remains a key research problem. In this paper, we use network slicing to study the service-aware baseband resource allocation and virtual network function (VNF) activation in O-RAN systems. The limited fronthaul capacity and end-to-end delay constraints are simultaneously considered. Optimizing baseband resources includes O-RAN radio unit (O-RU), physical resource block (PRB) assignment, and power allocation. The main problem is a mixed-integer non-linear programming problem that is non-trivial to solve. Consequently, we break it down into two different steps and propose an iterative algorithm that finds a near-optimal solution. In the first step, we reformulate and simplify the problem to find the power allocation, PRB assignment, and the number of VNFs. In the second step, the O-RU association is resolved. The proposed method is validated via simulations, which achieve a higher data rate and lower end-to-end delay than existing methods

Epidermal growth factor receptor gene expression evaluation in colorectal cancer patients

Background: Colorectal cancer is one of the most common causes of death in the world and third and fourth most common cancer among men and women in Iran respectively. Epidermal growth factor receptor (EGFR) is a tyrosine kinase receptor that shows over expression in epithelial tumors and regulates important processes in tumorigenesis. Incidence and characteristics of colorectal cancer are based on the geographic region and race. Aim: In this research work, the over expression of EGFR in formalin fixed paraffin-embedded (FFPE) colorectal cancer tumor tissue of patients was studied. Materials and Methods: Fifteen FFPE colorectal cancer tumor tissues (10 women and 5 men; 25-65 years old and stage IV) and 15 non-patients (nine women and six men; 25-65 years old) that were collected during 2006-2012. EGFR gene expression level was analyzed by real-time quantitative reverse transcriptase polymerase chain reaction (PCR). All PCR reactions were performed in triplicate for both target gene and internal control (18s ribosomal ribonucleic acid) with the 2-��CT method. Gene expression differences in patients and controls were evaluated with t-test. Results: The results were showed EGFR gene over expression in 12 (80) of 15 patients. There was a statistically significant difference in the prevalence of EGFR expression between patients and control (P < 0.05). Conclusion: Our results demonstrated EGFR gene over expression in colorectal cancer tumor tissue compared with controls