Evaluating the disaggregated impact of renewable and non renewable electricity generation on economic welfare in India.

As a developing country, India has experienced considerable social progress and economic growth (EG) that has driven higher energy use, which has affected the economic welfare. To identify these problems, this study investigates the impact of electricity generation, particularly from renewable and non-renewable sources, on economic welfare in India from 1990 to 2019. This study employing the ARDL model, augmented by the application of principal component analysis (PCA) to diverse indicators of economic welfare (EWI), including Employment (EMP), Human Capital (HC), CO2 emission (CO2),  Economic Growth (GDP), Consumption (CCON), life expectancy (LE) and Work Engagement (AVH).

How do supply chain disruptions, digitalization, and environmental policies shape renewable energy innovation in the United Kingdom? A wavelet quantile regression analysis.

The surge of climate vulnerability has prompted countries around the world to promote green innovation, specifically renewable energy innovation (REI), as a promising solution for the sustainability of the environment. Given this, the need to understand the dynamic relationships between supply chain disruptions (SCD), digitalization (DIG), energy productivity (EP), environmental policy stringency (EPS), corruption (CRP), and financial development (FD) with REI in the United Kingdom (UK) is critical for driving renewable energy development. For achieving the objective of the study, quarterly time-series data from 1990Q1 to 2020Q4 were analyzed and to capture the nonlinear and time-varying dynamics of relationships, advanced econometric techniques, namely Wavelet Quantile Regression (WQR) and Wavelet Quantile Correlation (WQC), Quantile-on-Quantile Kernel-Based Regularized Least Squares (QQKRLS) and Quantile-on-Quantile Granger Causality (QQGC) were employed.

From invention to progress: Energy technology innovation and sustainable development in OECD economies.

In the era of Industry 4.0, the advancement in energy technology has taken centre stage to mitigate climate change and promote sustainable development. Ever since the adoption of the United Nations SDGs in 2015, different regions and countries have been moving to achieve these targets by implementing various mechanisms.

Empirical insights into India's energy demand: unveiling elasticity dynamics for strategic policy initiatives.

Policymakers and stakeholders can use insights from price elasticity and income elasticities of energy demand to devise targeted interventions that promote energy efficiency, reduce reliance on fossil fuels, and drive the transition to more sustainable and resilient energy systems. This study seeks to examine how changes in income elasticity and price elasticity affect energy consumption over time using the ARDL model and a time-varying parameter technique, state-space Kalman filter. The study's findings reveal that energy prices have a negative and significant impact on energy consumption, whereas GDP per capita and population growth have a positive and significant impact on energy consumption in both the short and long run.

Modelling the asymmetric effects of renewable and nonrenewable energy consumption and financial development on CO2 emissions in India: Empirical findings from the NARDL and Wavelet Coherence Approach.

A major challenge for humans in the twenty-first century is devising a way to minimize environmental pollution while fostering economic growth that will not deplete the planet's resources. Despite increased awareness of climate change and efforts to combat it, the amount of pollution emissions on the Earth continues to drop significantly. This study employs cutting-edge econometric methods to examine the long- and short-term asymmetric and causal impacts of renewable and non-renewable energy consumption and financial development on CO emissions in India at both aggregate and disaggregated levels.

GFP Tagged VSELs Help Delineate Novel Stem Cells Biology in Multiple Adult Tissues.

Various types of stem cells are being researched upon to exploit their potential for regenerative medicine including pluripotent human embryonic stem (hES) cells derived from spare human embryos, induced pluripotent stem (iPS) cells by reprogramming somatic cells to a pluripotent state and multipotent mesenchymal stem/stromal cells (MSCs) obtained in vitro from multiple tissues. More than 50 independent groups have reported another novel population of pluripotent stem cells in adult tissues termed very small embryonic-like stem cells (VSELs). VSELs are developmentally linked to primordial germ cells, which rather than giving rise to the germ cells and later ceasing to exist, survive throughout life in multiple organs along with tissue-specific adult stem cells better described as lineage-restricted, tissue-committed progenitors with limited plasticity.

Two Stem Cell Populations Including VSELs and CSCs Detected in the Pericardium of Adult Mouse Heart.

Adult mammalian heart is considered to be one of the least regenerative organs as it is not able to initiate endogenous regeneration in response to injury unlike in lower vertebrates and neonatal mammals. Evidence is now accumulating to suggest normal renewal and replacement of cardiomyocytes occurs even in middle-aged and old individuals. But underlying mechanisms leading to this are not yet clear.

Which stem cells will eventually translate to the clinics for treatment of diabetes?

Human embryonic stem (hES) cells have been around for more than two decades now. It was expected that hES/iPS (induced pluripotent stem) cells will quickly translate to the clinics to treat diabetic patients and to obtain gametes in vitro for infertile couples. However, there is no breakthrough yet in either of the fields although considerable progress has been made.

Mouse Pancreas Stem/Progenitor Cells Get Augmented by Streptozotocin and Regenerate Diabetic Pancreas After Partial Pancreatectomy.

Existence of stem cells in adult pancreas remains contentious. Single cells suspensions obtained by collagenase and trypsin digestion separately from adult mouse pancreas and pancreatic islets were spun at 1000 rpm (250 g) to collect the cells. At this speed the stem/ progenitor cells remained buoyant and were further enriched by spinning the supernatant at 3000 rpm (1000 g).

(E)-1-(4-Chloro-benzyl-idene)thio-semi-carbazide.

In the crystal of the title compound, C(8)H(8)ClN(3)S, mol-ecules are connected by N-H⋯S hydrogen bonds into strips parallel to the (112) planes and running along [10]. One of the amino H atoms is not involved in a classical hydrogen bond. In addition, there is a rather short inter-molecular Cl⋯S distance of 3.