Primary-secondary excavation-support
Context 1 mining operations continue to produce in more complex geologic and geometric conditions, cemented paste backfill (CPB) has become commonly employed within primary- secondary...Sequences in underground operations can be divided into primary, secondary and third priorities. The first priority of sequential panels or stopes is usually Ground behaviour analysis, support system design and
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Blast sequence for primary and secondary
In primary-secondary mining sequence, blast vibrations are induced in CRF during the extraction of adjacent stopes. Higher magnitude of blast vibrations may destabilize CRF causing failure...Sequential data are generated in many domains of science and technology. Although many studies have been carried out for sequence classification in A user parameter-free approach for mining robust
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RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining
Sequential pattern mining (SPM) is an important branch of knowledge discovery that aims to mine frequent sub-sequences (patterns) in a sequential database. mining a trajectory database. In this paper, we focus on the task of sequential pattern mining, i.e., finding inter-esting sub-sequences in a sequence Mining Frequent Sequential Patterns with Local
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Recency-based sequential pattern mining in multiple event sequences
The standard sequential pattern mining scheme hardly considers the positions of events in a sequence, and therefore it is difficult to focus on more interesting Backfill material is engineered to withstand the exposed height of the primary stope it occupies when adjacent secondary stope is being mined, thus avoiding dilution of Backfill Practices for Sublevel Stoping System SpringerLink
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A Structural Data Mining Approach for the Classification of Secondary
Instead of performing classification based on primary sequences, we therefore propose to perform the task from structure, exploiting the phenomenon in which molecules form from Data for specific research goals and observational studies are usually curated with great care to satisfy the needs of the research problem. As the primary goal of the EHRs is the efficient management of data and medical history of patients, its secondary usage poses many limitations and challenges.The Secondary Use of Electronic Health Records for Data Mining
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Mining and unearthing hidden biosynthetic potential Nature
A systematic screening of archaea genome sequences for the presence of putative secondary metabolite BGCs revealed that the majority of archaeal genomes only harbor one or two types of secondaryopportunity to evaluate a trial primary-secondary sequence in the west end of the 400 Orebody at the 2340m horizon. With a separate access into the „secondary‟ panel, personnel access could be restricted on the bottomsill, protecting workers from direct exposure to elevated levels of microseismic activity.Development and Implementation of a Risk Mitigation
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Introductory Chapter: Secondary Metabolites An Overview
A primary metabolite is directly involved in normal growth, development, and reproduction of the host cell. A secondary metabolite is not directly involved in those processes, but usually has an important ecological function . Secondary metabolites are biochemical compounds with varied and sophisticated chemical structures, produced by Primary structure. The simplest level of protein structure, primary structure, is simply the sequence of amino acids in a polypeptide chain. For example, the hormone insulin has two polypeptide chains, A and B, shown in diagram below. (The insulin molecule shown here is cow insulin, although its structure is similar to that of human insulin.)Protein structure: Primary, secondary, tertiary & quatrenary
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Evaluating the Influence of Underground Mining Sequence
Abstract For this study, as part of the underground operations, the underground mining sequence was explored for suitability in the Zuuntsagaan mine. Two mining sequences are considered; bottom-up (B-U) and top-bottom (T-B), and the instability of stopes and open pit slopes is evaluated in response to each sequence. For the A third strategy for function-first genome mining would be combining (sub)structure prediction from sequences with structure-based prediction of biological activities and macromolecular targetsMining genomes to illuminate the specialized chemistry of life
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Safe mining practices under wide spans in underground non
For example, the Kidd Creek mine extracted open stopes located in rock masses with quality values ranging between 10 and 23 in the Q system using the transverse primary and secondary sequence [3]. All panels had a panel strike length of 20 m, level interval of 30 m and stope length ranging between 13 and 47 m as reported by Ran and The first comprehensive treatise on mining haul road design, construction, operation and management, Mining Haul Roads Theory and Practice presents an authoritative compendium of worldwide(PDF) Mining Haul Roads: Theory and Practice ResearchGate
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Comprehensive prediction of secondary metabolite structure
a Schematic overview of PRISM 4. Microbial genome sequences are annotated using a library of 1,772 HMMs, and secondary metabolite BGCs are identified using a rule-based approach.CRIP1a secondary structure pattern was predicted using the amino acid primary sequence by several algorithms, including: HMMSTR, SSPRO 4, CDM, JNET, SABLE, PORTER, NetSurfP, SPINE X and PSIPRED.Prediction of protein secondary structure by mining
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Mini review: Genome mining approaches for the
420 sequences for mining novel secondary metabolite biosynthetic gene clusters. Sci Data 2020;7:55. 421 https: Cho S, et al. Primary transcriptome and translatome analysis .Primary transcriptome and translatome analysis determines W., Hwang, S. et al. Thirty complete Streptomyces genome sequences for mining novel secondary metabolite biosynthetic geneThirty complete Streptomyces genome sequences for mining
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Isolation, complete genome sequencing and in silico genome mining
Recent years, Burkholderia species have emerged as a new source of natural products (NPs) with increasing attractions. Genome mining suggests the Burkholderia genomes include many natural product biosynthetic gene clusters (BGCs) which are new targets for drug discovery. In order to collect more Burkholderia, here, a Winter School on "Data Mining Techniques and Tools for Knowledge Discovery in Agricultural Datasets” 323 • Also now have: Gene expression Genetic variation (polymorphisms) 2. Biological Databases When Sanger first discovered the method to sequence proteins, there was a lot of excitement in the field of Molecular Biology.Introduction to Biological Databases Indian Agricultural
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12. Supergene Ore and Gangue Characteristics USGS
tive paragenetic sequence. For illustrative purposes, a diagram compiled by Boyle (2003), based on supergene mineralization at numerous deposits in the Bathurst mining camp, captures some of the complexity of supergene mineral successions (fig. 12–1). During early stages of alteration, the less resistantBy explicitly comparing the primary and secondary sequences of the entire ecosystem in the published literature (Prach & Walker, 2019). they report that consecutive sites tend to increase theDifferences between primary and secondary plant
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An Introduction to Sequential Rule Mining The Data Blog
A sequential pattern is a subsequence that appear in several sequences of a database. For example, the sequential pattern < {a} {c} {e}> appears in the two first sequences of our database. This pattern is quite interesting. It indicates that customers who bought {a}, often bought {c} after, followed by buying {e}.The primary structure of protein is the hierarchy’s basic level, and is the particular linear sequence of amino acids comprising one polypeptide chain. Secondary structure is the next level up from the primary structure, and is the regular folding of regions into specific structural patterns within one polypeptide chain. Hydrogen bondsFour Types of Protein Structure Primary, Secondary, Tertiary
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Deep neural networks for inferring binding sites of RNA
In this paper, we implemented a novel deep neural network model, DeepRKE, which combines primary RNA sequence and secondary structure information to effectively predict RBP binding sites. Specifically, we used word embedding algorithm to extract features of RNA sequences and secondary structures, i.e., distributed
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