The objective of this paper is to present a comprehensive perspective on the development of a long-term low-emission development strategy for Qatar, in line with the Paris Agreement. The methodology used in this paper takes a holistic approach by analyzing national strategies, structures, and mitigation measures from other countries, and synthesizing these with Qatar's unique context in terms of its economy, energy production, and consumption, as well as its energy-related emission profile and characteristics. The findings of this paper identify key considerations and elements that policymakers would need to take into account when developing a long-term low-emission vision for Qatar, with a particular emphasis on its energy sector. The policy implications of this study are significant for policymakers in Qatar, as well as for other countries facing similar challenges in their transition to a sustainable future. This paper contributes to the discourse on energy transition in Qatar and provides insights that can inform the development of potential routes to reduce greenhouse gas emissions in Qatar's energy system. It serves as a foundation for further research and analysis and can contribute to the development of more effective and sustainable policies and strategies for low-emission development in Qatar and beyond.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242532PMC
http://dx.doi.org/10.1002/gch2.202200229DOI Listing

Publication Analysis

Top Keywords

development strategy
8
energy transition
8
transition qatar
8
long-term low-emission
8
low-emission development
8
development
6
qatar
6
energy
5
long-term low
4
low emission
4

Similar Publications

Liver organoids have been increasingly adopted as a critical in vitro model to study liver development and diseases. However, the pre-vascularization of liver organoids without affecting liver parenchymal specification remains a long-lasting challenge, which is essential for their application in regenerative medicine. Here, the large-scale formation of pre-vascularized human hepatobiliary organoids (vhHBOs) is presented without affecting liver epithelial specification via a novel strategy, namely nonparenchymal cell grafting (NCG).

View Article and Find Full Text PDF

Observational studies have shown that the risk of developing herpes zoster (HZ) increases with the use of statins. However, there are many confounding factors in observational studies. Therefore, our Mendelian randomization (MR) study aimed to explore the causal role of lipids in HZ and to assess the causal impact of lipid-lowering drug targets on HZ risk.

View Article and Find Full Text PDF

Circular RNAs in cancer: roles, mechanisms, and therapeutic potential across colorectal, gastric, liver, and lung carcinomas.

Discov Oncol

January 2025

Department of Bioscience and Biotechnology, Banasthali Vidyapith, Niwai-Tonk, Rajasthan, 304022, India.

The prominence of circular RNAs (circRNAs) has surged in cancer research due to their distinctive properties and impact on cancer development. This review delves into the role of circRNAs in four key cancer types: colorectal cancer (CRC), gastric cancer (GC), liver cancer (HCC), and lung cancer (LUAD). The focus lies on their potential as cancer biomarkers and drug targets.

View Article and Find Full Text PDF

Machine learning assisted classification RASAR modeling for the nephrotoxicity potential of a curated set of orally active drugs.

Sci Rep

January 2025

Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700 032, India.

We have adopted the classification Read-Across Structure-Activity Relationship (c-RASAR) approach in the present study for machine-learning (ML)-based model development from a recently reported curated dataset of nephrotoxicity potential of orally active drugs. We initially developed ML models using nine different algorithms separately on topological descriptors (referred to as simply "descriptors" in the subsequent sections of the manuscript) and MACCS fingerprints (referred to as "fingerprints" in the subsequent sections of the manuscript), thus generating 18 different ML QSAR models. Using the chemical spaces defined by the modeling descriptors and fingerprints, the similarity and error-based RASAR descriptors were computed, and the most discriminating RASAR descriptors were used to develop another set of 18 different ML c-RASAR models.

View Article and Find Full Text PDF

The content of 39 metals and metalloids (MMs) in submicron road dust (PM fraction) was studied in the traffic zone, residential courtyards with parking lots, and on pedestrian roads in parks in Moscow. The geochemical profiles of PM vary slightly between different types of roads and courtyards but differ significantly from those in parks. In Moscow, compared to other cities worldwide, submicron road dust contains less As, Sb, Mo, Cr, Cd, Sn, Tl, Ca, Rb, La, Y, U, but more Cu, Zn, Co, Fe, Mn, Ti, Zr, Al, V.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!