Pillar extraction, (also referred to as retreat mining; pillar recovery; stooping; pillar robbing; and bord and pillar second workings) is the practice of forming a series of pillars and then partially or totally extracting some or all of the pillars, usually with mining operations retreating out of a panel. There are a number of basic pillar ...

The formation regularities of mined-out space in an open pit have been established, and assessment of the mined-out space utilization has been performed for flat-dipping and inclined bedded deposits mined by blocks.

This strategy to mine and develop polymorphic SSR markers by a comparative analysis of the genome sequences of multiple accessions and computational genotyping of the candidate SSR loci eliminates ...

Question: Using pictures and or diagrams, describe, discuss and explain in detail the five stages (phases) of the mining sequence (10 points) the question is based on An Introduction to Surface Mining – Mining 2043, Winter 2019. Here's the best way to solve it.

This study shows that the mining sequence affects the stability of the tunnels. The open-pit mining activities lead to both higher axial forces in rock bolts and normal forces and bending moments ...

Sequence discovery, often referred to as sequence mining or sequence pattern mining, is a data mining technique used to identify recurrent patterns, trends, or structures within a sequence of data points. This …

Repetitive mining beneath bedding slopes is identified as a critical factor in geomorphic disturbances, especially landslides and surface subsidence. Prior research has largely concentrated on surface deformation in plains due to multi-seam coal mining and the instability of natural bedding slopes, yet the cumulative impact of different mining …

Temporal data mining exploits temporal information in data sources in the context of data mining tasks such as clustering or classification. Many scientific and business data sources are dynamic and thus promising candidates for application of temporal mining methods. For an overview of methods to mine time series, sequence, …

GeneCards, the human gene compendium, enables researchers to effectively navigate and inter-relate the wide universe of human genes, diseases, variants, proteins, cells, and biological pathways. Our recently launched Version 4 has a revamped infrastructure facilitating faster data updates, better-targeted data queries, and friendlier …

The application of conventional sequential pattern-mining algorithms on the SRSI images results in high computational complexity. This issue can be resolved by grouping the pixels and mining sequence patterns. A one-pass framework is introduced to compress and hide the data in the marked stream without any loss.

To deal with ground pressures, a V-shaped mining sequence is utilized. The main advantages of the sequential down dip method are the very low energy release rates, which make backfilling unnecessary, and the allowance for the physical separation of rock transport from men and materials.

Among the important tasks in the field of data mining, inter-sequence pattern mining is an especially practical one. Its purpose is to find the frequent sequences that are common to many sequences in the database, and to find the relationships between these sequence patterns over time. Therefore, it brings very important and meaningful …

A sequence S (single-item sequence) is an ordered list of items, denoted by S = 〈 i1 … in 〉 where i1 to in are items. A sequence database SDB is a set of tuples ( id, S ), where id is the sequence identifier and S a sequence. Interesting characteristics can be extracted from such databases using sequential rules and pattern mining.

Proper mining sequence is critical to viable development of an open-pit mine. It determines the volume of cash and the time the cash will begin to flow into the project. Improper mine sequencing ...

Effect of the mining sequence on the internal dump capacity in an open pit

With this information, a sequence-level pseudoenergy table is generated, enabling the scoring of any sequence for compatibility with the target backbone, identification of the optimal sequence, and other …

Mining sequence patterns can be thought of as association discovery over the temporal data or sequence dataset. Similarly, the classic pattern-mining algorithm should be extended or modified as per the sequence dataset's scenario.

The mining industry operates through a sequence of stages: exploration, discovery, development, production and reclamation. All stages of this Mining Cycle provide direct economic stimulus. Exploration can take place in many forms, by both prospectors and exploration companies, and usually begins with research to select target areas.

The review focuses on DNA sequence data mining and machine learning. The review briefly introduces the development process of sequencing technology, DNA sequence data structure, and several sequence encoding methods in machine learning. And we clarify that sequence similarity is the basis of DNA sequence data mining.

Quantitative time-fragmentation indicators are elaborated; • Sequence mining: Data analytics algorithms are applied to identify common patterns and sequences found within the dataset after the ...

Technical indicators and mining sequence are often optimized separately when optimizing metal mine production. This approach ignores the mutual influence between indicators and mining sequence, and the optimization results may not reach the global optimum. This study focuses on the entire production process of a metal mine and establishes a model …

The results show that compared to two-stage mining sequence, three-stage and four-stage mining sequences provide sufficient time for the solidification of the filling body. The coal pillar exhibits better stability in the early stage of mining, but the stress concentration phenomenon is more significant in the later stage of mining.

An Efficient Prephenate Dehydrogenase Gene for the Biosynthesis of L-tyrosine: Gene Mining, Sequence Analysis, and Expression Optimization

Data Mining – Time-Series, Symbolic and Biological Sequences Data. Data mining refers to extracting or mining knowledge from large amounts of data. In other words, Data mining is the science, art, and technology of discovering large and complex bodies of data in order to discover useful patterns.

To associate your repository with the sequence-mining topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.

Mining genomes has key advantages over the use of analytical chemistry techniques alone. First, mining can access specialized metabolites that may not be produced under the growth conditions studied.

extraction sequences, rock mass de-stressing techniques, and ground support systems is of great importance in mitigating the level of rockburst-related risk. In burst-prone conditions, the design of support systems should account for the anticipated dynamic load demand and the capacity of the available support options. Furthermore, an economical …

Question: Using diagrams, describe and explain in detail only two of the following mining sequence methods for open pits. Include advantages and disadvantages for each selected method: (2.5 pages Minimum without diagrams) 1.

The production capacity, mining sequence and mining lifetime are the three significant factors in the optimization of open pit mine production scheduling. While production capacity is related to ...

Using large-spaced dispersion and mining sequence from the middle to both ends can gradually redistribute the stress to adjacent areas, thus reducing the degree of stress concentration.