Antiretroviral Therapy, Renal Function among HIV-Infected Tanzanian, Adults, HIV/AIDS, .

Data regarding the outcomes of HIV-infected adults with baseline renal dysfunction who start antiretroviral therapy are conflicting. We followed up a previously-published cohort of HIV-infected adult outpatients in northwest Tanzania who had high prevalence of renal dysfunction at the time of starting antiretroviral therapy (between November 2009 and February 2010). Patients had serum creatinine, proteinuria, microalbuminuria, and CD4(+) T-cell count measured at the time of antiretroviral therapy initiation and at follow-up. We used the adjusted Cockroft-Gault equation to calculate estimated glomerular filtration rates (eGFRs). In this cohort of 171 adults who had taken antiretroviral therapy for a median of two years, the prevalence of renal dysfunction (eGFR <90 mL/min/1.73 m(2)) decreased from 131/171 (76.6%) at the time of ART initiation to 50/171 (29.2%) at the time of follow-up (p<0.001). Moderate dysfunction (eGFR<60 mL/min/1.73 m(2)) decreased from 21.1% at antiretroviral therapy initiation to 1.1% at follow-up (p<0.001), as did the prevalence of microalbuminuria (72% to 44%, p<0.001). Use of tenofovir was not associated with renal dysfunction at follow-up. Mild and moderate renal dysfunction were common in this cohort of HIV-infected adults initiating antiretroviral therapy, and both significantly improved after a median follow-up time of 2 years. Our work supports the renal safety of antiretroviral therapy in African adults with mild-moderate renal dysfunction, suggesting that these regimens do not lead to renal damage in the majority of patients and that they may even improve renal function in patients with mild to moderate renal dysfunction

Angel investor's selection criteria: a comparative institutional perspective

Despite the important role of angel investors as critical financial providers for new ventures, little is known regarding how institutions make their investment decisions. While angels make decisions based on selection criteria during the first stage, they are also embedded within and affected by different institutional settings and as a result weight these criteria differently than other investors. We compare angel investors' selection criteria in China and Denmark using the comparative institutional perspective. We use a policy capturing approach and hierarchy linear modeling, revealing that since Chinese angels are embedded within relationship-based institutional settings they tend to reply more on strong ties such as family and friends in management team, as well as weighting risks less compared to Danish angels operating within more rule-based institutional contexts

Competing jurisdictions: data privacy across the borders

Borderless cloud computing technologies are exacerbating tensions between European and other existing approaches to data privacy. On the one hand, in the European Union (EU), a series of data localisation initiatives are emerging with the objective of preserving Europe’s digital sovereignty, guaranteeing the respect of EU fundamental rights and preventing foreign law enforcement and intelligence agencies from accessing personal data. On the other hand, foreign countries are unilaterally adopting legislation requiring national corporations to disclose data stored in Europe, in this way bypassing jurisdictional boundaries grounded on physical data location. The chapter investigates this twofold dynamics by focusing particularly on the current friction between the EU data protection approach and the data privacy model of the United States (US) in the field of cloud computing

Regulatory Fitness: Fintech, Funny Money, and Smart Contracts

© 2019, The Author(s). This article argues that there are many questions that lawyers might ask, and conversations that they might have, about smart contracts; that some questions that are asked are more important than others; and that there are some questions that are not asked but which should be asked. First, it is argued that the question that preoccupies ‘coherentists’ (concerning the application of the law of contract to smart contracts, and the fit between smart contracts and the paradigmatic ‘fiat contracts’ that are recognised by the law of contract) is neither as puzzling nor as important as might be supposed. Secondly, it is argued that, if there are concerns about the acceptability of smart contracts, then the conversation that needs to be had is of a ‘regulatory-instrumentalist’ nature; in particular, if the question is one of public policy restrictions on the use of smart contracts, then the appropriate balance of interests needs to be made by an institution that has both the necessary mandate and the appropriate mind-set. Thirdly, it is argued that there are conversations that we currently do not have but which urgently need to be had. Blockchain is a potentially transformative technology and it is important to have more fundamental conversations about the kind of community that we want to be

Diffusion Monte Carlo Study of Para -Diiodobenzene Polymorphism Revisited

We revisit our investigation of the diffusion Monte Carlo (DMC) simulation of p-DIB molecular crystal polymorphism. [J. Phys. Chem. Lett. 2010, 1, 1789-1794] We perform, for the first time, a rigorous study of finite-size effects and choice of nodal surface on the prediction of polymorph stability in molecular crystals using fixed-node DMC. Our calculations are the largest which are currently feasible using the resources of the K computer and provide insights into the formidable challenge of predicting such properties from first principles. In particular, we show that finite-size effects can influence the trial nodal surface of a small (1×1×1) simulation cell considerably. We therefore repeated our DMC simulations with a 1×3×3 simulation cell, which is the largest such calculation to date. We used a DFT nodal surface generated with the PBE functional and we accumulated statistical samples with ∼6.4×105 core-hours for each polymorph. Our final results predict a polymorph stability consistent with experiment, but indicate that results in our previous paper were somewhat fortuitous. We analyze the finite-size errors using model periodic Coulomb (MPC) interactions and kinetic energy corrections, according to the CCMH scheme of Chiesa, Ceperley, Martin, and Holzmann. We investigate the dependence of the finite-size errors on different aspect ratios of the simulation cell (k-mesh convergence) in order to understand how to choose an appropriate ratio for the DMC calculations. Even in the most expensive simulations currently possible, we show that the finite size errors in the DMC total energies are far larger than the energy difference between the two polymorphs, although error cancellation means that the polymorph prediction is accurate. Finally, we found that the T-move scheme is essential for these massive DMC simulations in order to circumvent population explosions and large time-step biases.Chemistry and Chemical Biolog