The Mining Sequence
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- The Mining Sequence
An Efficient Prephenate Dehydrogenase Gene for the Biosynthesis of L-tyrosine: Gene Mining, Sequence Analysis, and Expression Optimization. Anying Ji, 1, 2, 3 Pengfei Bao, 1, 2, 3 Aimin Ma, 1, 2, 3 and Xuetuan Wei 1, 2, 3, * ... the sequence was aligned with the previously reported amino acid sequences (Figure 4), and the …
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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 present rock mass ...
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Fast sequence mining based on sparse id-lists. In Proceedings of the 19th International Symposium on Methodologies for Intelligent Systems. Springer, 316–325. Crossref. Google Scholar [35] Lior Shabtay, Philippe Fournier-Viger, Rami Yaari, and Itai Dattner. 2021. A guided FP-Growth algorithm for mining multitude-targeted item-sets …
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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 ...
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Abstract The strip filling mining method can solve the problems related to mining under structures, under aquifers, and under infrastructure (3U coal seams), while the reasonable selection of the ...
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The simple graphic below displays the sequence of events for the open-pit mining cycle. Learn more about open-pit mining. 2. Underground mining. Underground mining is used to extract ore from below the surface of the earth safely, economically and with as little waste as possible. The entry from the surface to an underground mine may be through ...
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A sequence database consists of sequences of ordered elements or events, recorded with or without a concrete notion of time. There are many applications involving sequence …
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Comparing how similar sequences are, by calculating distances, either between sequences or to an ideal type, allows grouping sequences for more analytical research purposes. We conclude with a discussion on the possibilities in terms of hypothesis testing of this mainly explorative analytical technique.
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The optimization of a mining sequence not only reduces stress concentration in surrounding rock but also prevents underground debris flows, significantly improving safety. Firstly, the 870–898 m ...
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PDF | On Aug 14, 2024, Mohammadreza Rahimian and others published Metagenome sequence data mining for viral interaction studies: review on progress and prospects | …
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mining, there are two mining sequences: first mining and then filling or first filling and then mining. The determination of a reasonable mining sequence in controlling surface sub-sidence is an important problem in strip filling mining. In this paper, the west 510 mining area of the Liudong Coal Mine was selected as the engineering background.
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30 Mining Sequential Patterns by Prefix Projections • Step 1: find length- 1 sequential patterns •,,
logical sequences, sequences of events in science and engineering, and in natural and social developments. In this section, we study sequential pattern mining in transactional
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Mining long length frequent patterns from a large data set for low support value is challenging due to the large search space. Such a process is computationally costly. Therefore, choosing an efficient …
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Deep mining of the Sequence Read Archive reveals major genetic innovations in coronaviruses and other nidoviruses of aquatic vertebrates PLoS Pathog. 2024 Apr 22 ... We recovered the bisegmented genome sequences of two coronaviruses from RNA samples of 69 infected fishes and validated the presence of poly(A) tails at …
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It is assumed that all the reserve will be mined within this time period. The presented IP model is applied on this block model and the optimum production schedule and mining sequence is determined. The resulting mining sequence that leads to the highest NPV is shown in Fig. 7.
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498 Chapter 8 Mining Stream, Time-Series, and Sequence Data8.3 Mining Sequence Patterns in Transactional Databases A sequence database consists of sequences of ordered elements or events, recorded with or without a concrete notion of time. There are many applications involving sequence data.
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In this paper, we learn a rule list from the sequence submodular perspective. We consider the rule list as a sequence and define the cover set for each rule. Then we …
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However, changing the mining sequence could impact other aspects of mining such as production and face ventilation, which is outside the scope of this study. In addition to the comparisons made between mining sequences, the model was also used to explore the potential behavior of the immediate roof and pillars as mining progresses …
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This review introduces the development process of sequencing technology, expounds on the concept of DNA sequence data structure and sequence similarity, and analyzes the basic process of data mining, several major machine learning algorithms, and puts forward the challenges faced by machineLearning algorithms in the mining of …
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Stream Sequence Mining for Human Activity Discovery. Parisa Rashidi, in Plan, Activity, and Intent Recognition, 2014. 5.2.2 Sequence Mining. Sequence mining has already proven to be quite beneficial in many domains such as marketing analysis or Web click-stream analysis [19].A sequence s is defined as a set of ordered items denoted by 〈 s …
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Request PDF | On Sep 19, 2022, T. K. M. Dintwe and others published Evaluating the Influence of Underground Mining Sequence under an Open Pit Mine | Find, read and cite all the research you need ...
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Mining • GSP (Generalized Sequential Pattern) mining algorithm • Outline of the method – Initially, every item in DB is a candidate of length-1 – for each level (i.e., sequences of length-k) do • scan database to collect support count for each candidate sequence • generate candidate length-(k+1) sequences from length-k
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The downslope upward mining sequence exhibits the least fractal dimensions, indicating minimal disturbance to both strata and surface. While all five mining scenarios maintain good slope stability under normal conditions, recalibrated stability assessments based on fractal dimensions suggest that downslope upward mining …
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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 …
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Numerical simulations have been also used to study the mining sequence of pillars, and Shan et al. [19] used Map3d boundary element simulation software to study the two vertical and four ...
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To do sequential pattern mining, a user must provide a sequence database and specify a parameter called the minimum support threshold. This parameter indicates a minimum number of sequences …
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Orebody shape, access to infrastructure, grade distribution, stress directions and magnitudes all influence the point at which to initiate the mining sequence. Determining the mining sequence, including …
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A sequence database, S, is a group of tuples, (SID, s), where SID is a sequence_ID and s is a sequence. For instance, S includes sequences for all users of the store. A tuple (SID, s) is include a sequence α, if α is a subsequence of s. This phase of sequential pattern mining is an abstraction of user-shopping sequence analysis.
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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. Once the ...
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High utility sequential pattern mining (HUSPM) is a critical research topic in data analytics (e.g., smart-city technologies), which takes into consideration three pivotal factors of data: timestamp, internal quantization, and external utility. Recently, a query-enabled HUSPM approach has been proposed, which aims to discover patterns based on a query …
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Data mining for DNA sequences is generally carried out from these aspects, and research in these areas is inseparable from similarity analysis between sequences (Pearson, 2013). It can be seen that sequence similarity is the basis of DNA sequence data mining. Sequence similarity means that there are similar or identical sites between sequences.
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Simple sequence repeats (SSRs) or short tandem repeats are short repeat motifs that show high level of length polymorphism due to insertion or deletion mutations of one or more repeat types. ... Mining of simple sequence repeats in the Genome of Gentianaceae Pharmacognosy Res. 2011 Jan;3(1):19-29. doi: 10.4103/0974-8490.79111. Authors R ...
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