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PCS ParikshanRajasthan Switch to Hindi
Annual Action Plans for Air Pollution Control in Rajasthan
Why in News?
The Commission for Air Quality Management (CAQM) reviewed the Annual Action Plans (AAPs) and sector-specific measures adopted by districts of Rajasthan falling in the National Capital Region (NCR) to strengthen efforts towards abatement of air pollution.
Key Points
- Purpose: Assessment of preparedness and implementation of pollution control measures under Annual Action Plans.
- Legal Status: Statutory body under the CAQM Act, 2021
- CAQM Directions: Strengthen implementation mechanisms, ensure inter-departmental coordination, adopt preventive measures, and improve real-time monitoring and reporting.
- Objectives: Reduce PM2.5 and PM10 levels and ensure uniform air quality management across NCR states.
- PM10 (coarse particles): Particles with a diameter of 10 micrometres or less.
- PM2.5 (fine particles): Particles with a diameter of 2.5 micrometres or less.
- Focus Sectors: Transport, Industry, Construction & Demolition (C&D), Road Dust, Biomass & Waste Burning etc.
- Significance:
- Regional Approach: Addresses air pollution as a transboundary issue across NCR states.
- Policy Integration: Ensures state action plans are aligned with national air quality goals.
- Public Health Impact: Aims to reduce health risks associated with prolonged air pollution exposure.
- Governance Strengthening: Enhances accountability and implementation efficiency at district and state levels.
- Framework Alignment: With Graded Response Action Plan (GRAP).
| Read More: Commission for Air Quality Management (CAQM), Graded Response Action Plan (GRAP), |
National Current Affairs Switch to Hindi
Google DeepMind’s AlphaGenome AI Tool
Why in News?
Google DeepMind has launched AlphaGenome, an artificial intelligence tool designed to predict how genetic mutations influence gene regulation and contribute to human diseases.
Key Points
- Objective: The AI tool developed by Google DeepMind is used to analyse long DNA sequences and predict the biological impact of genetic variations.
- Primarily targets non-coding (regulatory) DNA regions, which constitute about 98% of the human genome and play a key role in gene regulation.
- DNA Analysis Capacity: Capable of analysing up to one million DNA base pairs simultaneously, allowing assessment of long-range genetic regulatory effects.
- Predicts effects of mutations on gene expression, RNA splicing, chromatin accessibility, and regulatory activity.
- Helps to identify genetic drivers of complex diseases such as cancer, cardiovascular disorders, autoimmune diseases, and neurological conditions.
- Training Data: Trained on large-scale public genomic datasets from humans and mice to identify patterns linking DNA sequences with biological outcomes.
- Acts as a virtual laboratory, enabling scientists to test genetic hypotheses before conducting costly and time-consuming biological experiments.
- Availability: Released for non-commercial research use through an Application Programming Interface (API) to support global scientific collaboration.
- Limitations: Not approved for clinical diagnosis or personalised medical treatment; predictions depend on quality and diversity of training data.
| Read More: Artificial intelligence, Genetic variations, DNA , RNA |
