A Coupled FEM-BEM Approach for the Solution of the Free-Boundary Axi-Symmetric Plasma Equilibrium Problem

In this paper we present a coupled Finite Element Method – Boundary Element Method (FEM-BEM) approach for the solution of the free-boundary axi-symmetric plasma equilibrium problem. The proposed method, obtained from an improvement of the Hagenow-Lackner coupling method, allows to efficiently model the equilibrium problem in unbounded domains by discretizing only the plasma region; the external conductors can be modelled either as 2D or 3D models, according to the problem of interest. The paper explores different iterative methods for the solution of the nonlinear Grad-Shafranov equation, such as Picard, Newton-Raphson and Newton-Krylov, in order to provide a robust and reliable tool, able to handle large-scale problems (e.g. high resolution equilibria). This method has been implemented in the FRIDA code (FRee-boundary Integro-Differential Axisimmetric – https://github. om/matteobonotto/ FRIDA), together with a suitable Adaptive Integration Technique (AIT) for the computation of the source term. FRIDA has been successfully tested and validated against experimental data from RFX-mod device, and numerical equilibria of an ITER-like device.     

Immunogenicity and protective efficacy of adenoviral and subunit RSV vaccines based on stabilized prefusion F protein in pre-clinical models

Respiratory Syncytial Virus (RSV) remains a leading cause of severe respiratory disease for which no licensed vaccine is available. We have previously described the derivation of an RSV Fusion protein (F) stabilized in its prefusion conformation (preF) as vaccine immunogen and demonstrated superior immunogenicity in naive mice of preF versus wild type RSV F protein, both as protein and when expressed from an Ad26 vaccine vector. Here we address the question if there are qualitative differences between the two vaccine platforms for induction of protective immunity. In naïve mice, both Ad26.RSV.preF and preF protein induced humoral responses, whereas cellular responses were only elicited by Ad26.RSV.preF. In RSV pre-exposed mice, a single dose of either vaccine induced cellular responses and strong humoral responses. Ad26-induced RSV-specific cellular immune responses were detected systemically and locally in the lungs. Both vaccines showed protective efficacy in the cotton rat model, but Ad26.RSV.preF conferred protection at lower virus neutralizing titers in comparison to RSV preF protein. Factors that may contribute to the protective capacity of Ad26.RSV.preF elicited immunity are the induced IgG2a antibodies that are able to engage Fcγ receptors mediating Antibody Dependent Cellular Cytotoxicity (ADCC), and the induction of systemic and lung resident RSV specific CD8 + T cells. These data demonstrate qualitative improvement of immune responses elicited by an adenoviral vector based vaccine encoding the RSV preF antigen compared to the subunit vaccine in small animal models which may inform RSV vaccine development.     

Más difícil todavía: tratar una glomerulonefritis rápidamente progresiva grave en el seno de una neumonía por COVID-19

We present the case of a male patient with severe SARS-CoV-2 pneumonia, with simultaneous onset of p-ANCA positive rapidly progressive glomerulonephritis. We discuss the different therapeutic possibilities, emphasising the appropriateness of their administration according to the time in the course of the infection.     

Frame Invariance and Scalability of Neural Operators for Partial Differential Equations

Partial differential equations (PDEs) play a dominant role in the mathematical modeling of many complex dynamical processes. Solving these PDEs often requires prohibitively high computational costs, especially when multiple evaluations must be made for different parameters or conditions. After training, neural operators can provide PDEs solutions significantly faster than traditional PDE solvers. In this work, invariance properties and computational complexity of two neural operators are examined for transport PDE of a scalar quantity. Neural operator based on graph kernel network (GKN) operates on graph-structured data to incorporate nonlocal dependencies. Here we propose a modified formulation of GKN to achieve frame invariance. Vector cloud neural network (VCNN) is an alternate neural operator with embedded frame invariance which operates on point cloud data. GKN-based neural operator demonstrates slightly better predictive performance compared to VCNN. However, GKN requires an excessively high computational cost that increases quadratically with the increasing number of discretized objects as compared to a linear increase for VCNN.     

The impact of preoperative immune checkpoint inhibitors on kidney and bladder cancer surgeries: a systematic review☆

Therapies based on the use of immune checkpoint inhibitors (ICIs), such as nivolumab, pembrolizumab, ipilimumab, atezolizumab, avelumab, and durvalumab, have proven effective in the treatment of metastatic urological neoplasms. Recently, it has been hypothesized that the use of this type of treatment prior to surgery could lead to an increased difficulty in renal and bladder surgeries. The literature concerning this topic, however, is still scarce and non-consensual. In our systematic review, we used the PRISMA guidelines methodology to search the pertinent literature available up to June 18, 2020 in PubMed. Additionally, we searched the related grey literature in the abstracts of the meetings of the American Society of Clinical Oncology (ASCO), American Society of Clinical Oncology Genitourinary (ASCO-GU), European Society of Medical Oncology (ESMO), and American Urological Association (AUA) from 2015 to 2020. We were able to find only 16 publications that addressed the use of ICIs prior to surgery in kidney and bladder neoplasms. The results were conflicting, and usually the issue of surgical difficulties after the use of ICIs was not directly approached. We hope that our publication may raise the awareness towards the need to further investigate the effects of neoadjuvant ICIs on surgical outcomes in urologic cancers.     

Pneumococcal meningitis before the introduction of 10-valent pneumococcal conjugate vaccine into the National Childhood Immunization Program in Poland

Background

Poland introduced the 10-valent conjugate pneumococcal vaccine (PCV10) into the childhood immunization program in January 2017. During previous decades, considerable changes had occurred in the surveillance system for invasive pneumococcal disease. Therefore, to provide baseline data on pneumococcal diseases before PCV10 introduction, we evaluated the epidemiology of pneumococcal meningitis (PM), the only syndrome monitored consistently since 1970.

三七片DNA条形码分子鉴定及方法学考察

目的为研究DNA条形码技术在中成药鉴定中的应用,以三七片为研究对象,对方法的适用性、专属性与精密度进行考察。方法收集15批次市售三七片样品,考察三七片DNA提取条件,并对"中药材DNA条形码分子鉴定法指导原则"中PCR扩增、序列获得、结果判定等方法适用性进行确认;收集三七、人参、西洋参,制作三七片及其掺伪品,考察方法的专属性和重现性。结果三七片取样量100 mg,56℃水浴8 h所获得DNA的质量浓度平均值为60.7 ng/μL,PCR扩增、序列获得和结果判定均可获成功;三七、人参和西洋参的ITS2序列长度均为230bp,三七与人参、三七与西洋参的序列间均存在7个稳定的SNP位点,自制三七片和掺伪三七片均可成功获得ITS2序列,不同比例三七与人参、三七与西洋参的测序峰图在SNP位点处呈现相应峰高比的SNP套峰具备专属性;重复性、中间精密度和重现性考察符合《中国药典》2015年版(通则9101)相关要求。结论 ITS2序列作为DNA条形码能够稳定、准确鉴定三七片的原料药材,具备良好的专属性和精密度,三七片DNA条形码分子鉴定法将为保障三七片临床用药安全提供新的技术手段,并对《中国药典》其他收载单方制剂的鉴定提供参考。