Environmental contaminants from anthropogenic activity such as mining can have profound health effects on the animals living in adjacent areas. We investigated whether inorganic contaminants associated with gold-mining waste discharges were accumulated by a threatened species of lizard, Smaug giganteus, in South Africa. Lizards were sampled from two mining sites and two control sites. Blood sam...

Objectives. This study investigated the associations between poverty rates, Appalachian mountaintop coal mining, and age-adjusted total mortality rates to determine if persons exposed to this form of mining experience greater poverty and higher death rates compared to other types of mining or other areas of Appalachia. Methods. Mortality rates, poverty rates, Appalachian designation and mining ...

rajasthan is one of the main mineral potential state of india. during the last 30 years it has witnessed enormous expansion of mining industries, but mining of most of the minor minerals coupled with changing climate has posed serious problems to the environmental fabric in the state, apart from base metal beneficiation plants. groundwater is also being polluted day-by-day by effluents generate...

This paper is based on the open pit to underground mining practice of Daye Iron Mine. The influence mechanism between high-steep slope and non-pillar sublevel caving method is studied by using physical model test. Firstly, engineering geological properties of the choosing typical research section is analysed and generalized. Secondly, the system of open pit to underground mining is developing a...

Intention-oriented process mining is based on the belief that the fundamental nature of processes is mostly intentional (unlike activity-oriented process) and aims at discovering strategy and intentional process models from event-logs recorded during the process enactment. In this paper, we present an application of intention-oriented process mining for the domain of incident management of an I...

This paper discusses Multi-Feature Hierarchical Sequential PAttern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students’ learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features individually for each pattern. Consequently, MFH-SPAM oper...

The chemical information that is present in a set of compounds is rarely fully exploited. This is mostly because no descriptor set can capture all biologically important features. As a result, valuable chemical knowledge can thus stay hidden from hypothesis-based drug design. The simplest form of a structure-activity relationship (SAR) is a substructure that predisposes compounds towards reduce...

background: human activities such as mining enhance the radioactivity levels above normal background which can lead to an incremental increase in the radiation risk to the population. materials and methods: 20 tailing enriched soil samples collected around maiganga coal mine, gombe, northeast nigeria were assessed for their 226ra, 232th and 40k contents using hpge gamma-ray detector. results: t...

Data mining deals with automatic extraction of previously unknown patterns from large amounts of data. Organizations all over the world handle large amounts of data and are dependent on mining gigantic data sets for expansion of their enterprises. These data sets typically contain sensitive individual information, which consequently get exposed to the other parties. Though we cannot deny the be...

Data Mining can be defined as an activity that extracts some new nontrivial information contained in large databases. Traditional data mining techniques have focused largely on detecting the statistical correlations between the items that are more frequent in the transaction databases. Also termed as frequent itemset mining , these techniques were based on the rationale that itemsets which appe...