Risk assessment of persistent pesticide pollution: Development of an indicator integrating site-specific characteristics.

Detection of high pesticide concentrations in sediments and water often leads to prioritizing a site as being 'at risk'. However, the risk does not depend on pesticide concentration alone, but on other site-specific characteristics also. We developed an indicator that identifies the 'Level of Concern' by integrating five such characteristics: (i) pesticide concentrations in surface and groundwater causing risks to ecological health (ii) impacts on human health, (iii) water scarcity, (iv) agricultural production, and (v) biodiversity richness.

Analysis and implementation of semi-automatic model for vulnerability exploitations of threat agents in NIST databases.

Proactive security plays a vital role in preventing the attack before entering active mode. In the modern information environment, it depends on the vulnerability management practitioners of an organization in which the critical factor is the prioritization of threats. The existing models and methodology follow the traditional approaches of a Common Vulnerability Scoring System (CVSS) to prioritize threats and vulnerabilities.

Human exposure to organochlorine, pyrethroid and neonicotinoid pesticides: Comparison between urban and semi-urban regions of India.

In developing countries, urban areas may be at greater risk of pesticide exposure compared to semi-urban agricultural regions. To investigate this, concentrations of selected pesticides were measured in 81 human milk samples collected in urban Kolkata and semi-urban Nadia in West Bengal, India. Three classes of pesticides were investigated - legacy organochlorines and emerging pyrethroids and neonicotinoids.