More security or less insecurity

We depart from the conventional quest for ‘Completely Secure Systems’ and ask ‘How can we be more Secure’. We draw heavily from the evolution of the Theory of Justice and the arguments against the institutional approach to Justice. Central to our argument is the identification of redressable insecurity, or weak links. Our contention is that secure systems engineering is not really about building perfectly secure systems but about redressing manifest insecurities.Final Accepted Versio

Parasexual analysis in Trichoderma reesei using protoplast fusion

Protoplast fusion techniques were used to induce parasexuality in Trichoderma reesei and the products of fusion and segregation analyzed in order to get genetic data regarding the three cellulase markers, exoglucanase (exo), endoglucanase (endo) and beta-glucosidase ( beta- glu) and their location with respect to other auxotrophic markers. Five mutants derived from T. reesei QM 9414, a hypercellulase producer, were used in this study

Immigrants and Interdependence: How the COVID-19 Pandemic Exposes the Folly of the New Public Charge Rule

On February 24, 2020, just as the Trump administration began taking significant action to prepare for an outbreak of COVID-19 in the United States, it also began implementing its new public charge rule. Public charge is an immigration law that restricts the admission of certain noncitizens based on the likelihood that they will become dependent on the government for support. The major effect of the new rule is to chill noncitizens from enrolling in public benefits, including Medicaid, out of fear of negative immigration consequences. These chilling effects have persisted during the pandemic. When noncitizens are afraid to (1) seek treatment or testing for COVID-19 or (2) access public benefits in order to comply with stay-at-home guidance, it impedes efforts to slow the spread of COVID-19, contributing to the strain on the health care system. This Essay describes how the pandemic has exposed the folly of the public charge rule: Discouraging noncitizens from accessing public benefits to support their health and well-being is and always has been unwise from a public health perspective. The pandemic merely magnifies the negative consequences of this policy. This Essay contributes to scholarly conversations about how immigration law and policy have framed the United States’ response to the COVID-19 pandemic. Specifically, it provides an in-depth analysis of the negative public health consequences of the new public charge rule during the pandemic

Immigrants and Interdependence: How the COVID-19 Pandemic Exposes the Folly of the New Public Charge Rule

On February 24, 2020, just as the Trump administration began taking significant action to prepare for an outbreak of COVID-19 in the United States, it also began implementing its new public charge rule. Public charge is an immigration law that restricts the admission of certain noncitizens based on the likelihood that they will become dependent on the government for support. The major effect of the new rule is to chill noncitizens from enrolling in public benefits, including Medicaid, out of fear of negative immigration consequences. These chilling effects have persisted during the pandemic. When noncitizens are afraid to (1) seek treatment or testing for COVID-19 or (2) access public benefits in order to comply with stay-at-home guidance, it impedes efforts to slow the spread of COVID-19, contributing to the strain on the health care system. This Essay describes how the pandemic has exposed the folly of the public charge rule: Discouraging noncitizens from accessing public benefits to support their health and well-being is and always has been unwise from a public health perspective. The pandemic merely magnifies the negative consequences of this policy. This Essay contributes to scholarly conversations about how immigration law and policy have framed the United States’ response to the COVID-19 pandemic. Specifically, it provides an in-depth analysis of the negative public health consequences of the new public charge rule during the pandemic

Re-imaging everyday routines and educational aspirations under COVID-19 lockdown: Narratives of urban middle-class children in Punjab, India

Based on in-depth interviews with 24 middle-class Indian child participants, this is the first exploratory qualitative study, in India, to demonstrate the ways in which children as reflexive social actors re-negotiated everyday schedules, drew on classed resources at their disposal and made sense of the impact of the pandemic on their educational pathways and future aspirations. These narratives offer a unique lens on the politics of middle-classness and its constitutive relation to constructions of normative childhoods in contemporary India. Study findings contribute to the sociology of Indian childhood and more generally help enrich our understanding of southern childhoods and the reproduction of inequalities in contemporary India

Common Representation of Information Flows for Dynamic Coalitions

We propose a formal foundation for reasoning about access control policies within a Dynamic Coalition, defining an abstraction over existing access control models and providing mechanisms for translation of those models into information-flow domain. The abstracted information-flow domain model, called a Common Representation, can then be used for defining a way to control the evolution of Dynamic Coalitions with respect to information flow

Discriminating active from latent tuberculosis in patients presenting to community clinics.

BACKGROUND: Because of the high global prevalence of latent TB infection (LTBI), a key challenge in endemic settings is distinguishing patients with active TB from patients with overlapping clinical symptoms without active TB but with co-existing LTBI. Current methods are insufficiently accurate. Plasma proteomic fingerprinting can resolve this difficulty by providing a molecular snapshot defining disease state that can be used to develop point-of-care diagnostics. METHODS: Plasma and clinical data were obtained prospectively from patients attending community TB clinics in Peru and from household contacts. Plasma was subjected to high-throughput proteomic profiling by mass spectrometry. Statistical pattern recognition methods were used to define mass spectral patterns that distinguished patients with active TB from symptomatic controls with or without LTBI. RESULTS: 156 patients with active TB and 110 symptomatic controls (patients with respiratory symptoms without active TB) were investigated. Active TB patients were distinguishable from undifferentiated symptomatic controls with accuracy of 87% (sensitivity 84%, specificity 90%), from symptomatic controls with LTBI (accuracy of 87%, sensitivity 89%, specificity 82%) and from symptomatic controls without LTBI (accuracy 90%, sensitivity 90%, specificity 92%). CONCLUSIONS: We show that active TB can be distinguished accurately from LTBI in symptomatic clinic attenders using a plasma proteomic fingerprint. Translation of biomarkers derived from this study into a robust and affordable point-of-care format will have significant implications for recognition and control of active TB in high prevalence settings

Energy Dependence of Parameters Characterizing Multiply Backscattering of Gamma Photons

The present studies aimed to investigate the effects of energy dependence of parameters characterizing multiply backscattering of gamma photons. The numbers of multiply backscattered events are found to be increasing with thickness of copper target, and saturate for a particular thickness known as saturation thickness. The saturation thickness is found to be decreasing with increase in incident gamma photon energy, and also is not altered by the variation in collimator opening. The number, energy and dose albedos, characterizing the reflection probability of a material, are also evaluated. For each of the incident gamma photon energy, the number and energy albedos show an increase with increasing target thickness, and finally saturate. Monte Carlo calculations support the results of present experimental work

DNMTs are required for delayed genome instability caused by radiation

This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited - Copyright @ 2012 Landes Bioscience.The ability of ionizing radiation to initiate genomic instability has been harnessed in the clinic where the localized delivery of controlled doses of radiation is used to induce cell death in tumor cells. Though very effective as a therapy, tumor relapse can occur in vivo and its appearance has been attributed to the radio-resistance of cells with stem cell-like features. The molecular mechanisms underlying these phenomena are unclear but there is evidence suggesting an inverse correlation between radiation-induced genomic instability and global hypomethylation. To further investigate the relationship between DNA hypomethylation, radiosensitivity and genomic stability in stem-like cells we have studied mouse embryonic stem cells containing differing levels of DNA methylation due to the presence or absence of DNA methyltransferases. Unexpectedly, we found that global levels of methylation do not determine radiosensitivity. In particular, radiation-induced delayed genomic instability was observed at the Hprt gene locus only in wild-type cells. Furthermore, absence of Dnmt1 resulted in a 10-fold increase in de novo Hprt mutation rate, which was unaltered by radiation. Our data indicate that functional DNMTs are required for radiation-induced genomic instability, and that individual DNMTs play distinct roles in genome stability. We propose that DNMTS may contribute to the acquirement of radio-resistance in stem-like cells.This study is funded by NOTE, BBSRC and the Royal Society Dorothy Hodgkin Research Fellowship

Magnetically Targeted Endothelial Cell Localization in Stented Vessels

ObjectivesA novel method to magnetically localize endothelial cells at the site of a stented vessel wall was developed. The application of this strategy in a large animal model is described.BackgroundLocal delivery of blood-derived endothelial cells has been shown to facilitate vascular healing in animal models. Therapeutic utilization has been limited by an inability to retain cells in the presence of blood flow. We hypothesized that a magnetized stent would facilitate local retention of superparamagnetically labeled cells.MethodsCultured porcine endothelial cells were labeled with endocytosed superparamagnetic iron oxide microspheres. A 500:1 microsphere-to-cell ratio was selected for in vivo experiments based on bromo-deoxyuridine incorporation and terminal deoxynucleotidyl transferase mediated dUTP nick end labeling assays. Stents were magnetized and implanted in porcine coronary and femoral arteries using standard interventional equipment. Labeled endothelial cells were delivered locally during transient occlusion of blood flow.ResultsThe delivered cells were found attached to the stent struts and were also distributed within the adjacent denuded vessel wall at 24 h.ConclusionsMagnetic forces can be used to rapidly place endothelial cells at the site of a magnetized intravascular stent. The delivered cells are retained in the presence of blood flow and also spread to the adjacent injured vessel wall. Potential applications include delivering a cell-based therapeutic effect to the local vessel wall as well as downstream tissue