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Analysing intersections of justice with energy transitions in India : a systematic literature review

The global discourse on climate change, emphasises the need for a rapid clean energy transition. National net-zero commitments are highly contingent on fossil fuel phaseout. India showed active leadership in the Glasgow Summit, 2021 by setting its Renewable Energy targets to 500 GW by 2030 and net-zero emissions by 2070. However, these entail major energy justice concerns as 80 % of India's electr

Incidence, aetiology and temporal trend of bloodstream infections in southern Sweden from 2006 to 2019 : a population-based study

BackgroundBloodstream infections (BSI) are a public health concern, and infections caused by resistant bacteria further increase the overall BSI burden on healthcare.AimTo provide a population-based estimate of BSI incidence and relate this to the forthcoming demographic ageing western population change.MethodsWe retrieved positive blood cultures taken from patients in the Skåne region, southern S

Effect of the carrier gas on the structure and composition of Co–Ni bimetallic nanoparticles generated by spark ablation

Spark ablation is a versatile technique for producing pure size-selected nanoparticles. The carrier gas used in spark ablation affects the nanoparticles’ generation, crystalline structure, and chemical composition. The comprehension of this phenomenon can contribute to the design of nanoparticles with tailored properties. In this paper, we evaluate the effects of reducing (95%N2 + 5%H2), inert (N2

Unraveling the effects of surface functionalization on the catalytic activity of ReSe2 nanostructures towards the hydrogen evolution reaction

Herein, the surface functionalization of ReSe2 nanostructures by surfactants was investigated. This was done to understand how the use of various surfactants affects the catalytic activity of ReSe2 nanostructures towards the hydrogen evolution reaction (HER), and to determine which surfactant would result in maximal exposure of the active edge sites without impeding the catalytic processes of the

Protocolised reduction of non-resuscitation fluids versus usual care in patients with septic shock (REDUSE) : a protocol for a multicentre feasibility trial

INTRODUCTION: Administration of large volumes of fluids is associated with poor outcome in septic shock. Recent data suggest that non-resuscitation fluids are the major source of fluids in the intensive care unit (ICU) patients suffering from septic shock. The present trial is designed to test the hypothesis that a protocol targeting this source of fluids can reduce fluid administration compared w

The precision of ROTEM EXTEM is decreased in hypocoagulable blood : a prospective observational study

BACKGROUND: The use of viscoelastic tests is becoming increasingly popular. There is a paucity of validation of the reproducibility of varying coagulation states. Therefore, we aimed to study the coefficient of variation (CV) for the ROTEM EXTEM parameters clotting time (CT), clot formation time (CFT), alpha-angle and maximum clot firmness (MCF) in blood with varying degrees of coagulation strengt

Estimating Historical Inequality from Social Tables: Towards Methodological Consistency

Research on long-term historical inequality has expanded to include previously neglected periods and societies, particularly in the global South. This is partly due to the resurgence of the social tables method in economic history, an approach which uses archival records to reconstruct income and wealth distributions in contexts where micro data is unavailable. This methodcan cause a downward bias

Tuition Fees and Educational Attainment

Following a landmark court ruling in 2005, more than half of Germany's universities started charging tuition fees, which were later abolished in a staggered manner. We exploit the fact that even students who were already enrolled had to start paying fees. We show that fees increase study effort and degree completion among these students. However, fees also decrease first-time university enrollment

Right to Regulate for Sustainable Development in International Investment Law : The Challenge of Incomplete Assessments, Promise of Sustainable Investment, and Need for Reserved Optimism

Within international investment law scholarship, increased attention has been devoted to the capacity of international investment law, which includes investment treaty arbitration, to facilitate sustainable development. Scholars increasingly agree that issues of sustainable development permeate throughout the international investment law system and thus cannot be viewed as beyond its scope and jur

Estimating Stream Application Performance in Early-Stage System Design

When designing a hardware architecture, a designer needs to be confident that their design will meet performance requirements before moving on to the next stage in the design process. The mapping between application and architecture can have a large impact on the system performance. In this work we target early-stage system design of hardware architectures required to run a streaming application.

Mutant huntingtin expression in the hypothalamus promotes ventral striatal neuropathology

Huntington’s disease is a fatal neurodegenerative disorder caused by an expanded CAG triplet repeat in the huntingtin (HTT) gene. Previous research focused on neuropathology in the striatum and its association with a typical movement disorder. Direct effects of mutant HTT (mHTT) in the striatum may cause neuropathology, although non-cell autonomous effects have also been suggested. Important non-m

Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation

Aims: In the present study, we aimed to evaluate the performance of machine learning (ML) models for identification of acute myocardial infarction (AMI) or death within 30 days among emergency department (ED) chest pain patients. Methods and results: Using data from 9519 consecutive ED chest pain patients, we created ML models based on logistic regression or artificial neural networks. Model input

Efficient nonlinear reduced order modeling for dynamic analysis of flat structures

In the present paper, strategies for reduced order modeling of geometrically nonlinear finite element models are investigated. Simulation-free, non-intrusive approaches are considered, which do not require access to the source code of a finite element program (e.g., proprietary knowledge). Our study focus on but is not restricted to flat structures. Reduction bases are generated using bending mode