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Journal articles on the topic 'SRA mining'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Parmar, Sourabh. "Transcriptomics Analysis using Galaxy and other Online Servers for Rheumatoid Arthritis." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 10, 2021): 459–66. http://dx.doi.org/10.22214/ijraset.2021.36331.

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Researchers use transcriptomics analyses for biological data mining, interpretation, and presentation. Galaxy-based tools are utilized to analyze various complex disease transcriptomic data to understand the pathogenesis of the disease, which are user-friendly. This work provides simple methods for differential expression analysis and analysis of these results in gene ontology and pathway enrichment tools like David, WebGestalt. This method is very effective in better analysis and understanding the transcriptomic data. Transcriptomics analysis has been made on rheumatoid arthritis sra data. Rheumatoid arthritis (RA) is a systemic autoimmune disease. T cells and autoantibodies mediate the pathogenesis. This article discusses the genes which are differentially expressed between the healthy (n=50) and diseased (n=51) and the functions of those genes in the pathogenesis of RA.

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Lasek-Nesselquist, Erica, and Matthew D. Johnson. "A Phylogenomic Approach to Clarifying the Relationship of Mesodinium within the Ciliophora: A Case Study in the Complexity of Mixed-Species Transcriptome Analyses." Genome Biology and Evolution 11, no. 11 (October 30, 2019): 3218–32. http://dx.doi.org/10.1093/gbe/evz233.

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Abstract Recent high-throughput sequencing endeavors have yielded multigene/protein phylogenies that confidently resolve several inter- and intra-class relationships within the phylum Ciliophora. We leverage the massive sequencing efforts from the Marine Microbial Eukaryote Transcriptome Sequencing Project, other SRA submissions, and available genome data with our own sequencing efforts to determine the phylogenetic position of Mesodinium and to generate the most taxonomically rich phylogenomic ciliate tree to date. Regardless of the data mining strategy, the multiprotein data set, or the molecular models of evolution employed, we consistently recovered the same well-supported relationships among ciliate classes, confirming many of the higher-level relationships previously identified. Mesodinium always formed a monophyletic group with members of the Litostomatea, with mixotrophic species of Mesodinium—M. rubrum, M. major, and M. chamaeleon—being more closely related to each other than to the heterotrophic member, M. pulex. The well-supported position of Mesodinium as sister to other litostomes contrasts with previous molecular analyses including those from phylogenomic studies that exploited the same transcriptomic databases. These topological discrepancies illustrate the need for caution when mining mixed-species transcriptomes and indicate that identifying ciliate sequences among prey contamination—particularly for Mesodinium species where expression from stolen prey nuclei appears to dominate—requires thorough and iterative vetting with phylogenies that incorporate sequences from a large outgroup of prey.

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3

Lestari, Nanik, and Surya Irma. "PENGARUH SUSTAINABILITY REPORT TERHADAP KINERJA KEUANGAN PERUSAHAAN." JOURNAL OF APPLIED MANAGERIAL ACCOUNTING 5, no. 2 (October 30, 2021): 34–44. http://dx.doi.org/10.30871/jama.v5i2.3510.

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This study aims to examine the impact of disclosure of sustainability economic (EC), social dimension (SO) and environmental dimension (EN) on issuer's financial performance in 2012-2015 period in mineral and mineral mining sector, energy, gas and petroleum, and infrastructure, and companies that won the SRA (Sustainability report Award) competition in 2015, each winning 1, 2, 3. The research method used in this research is quantitative approach, using cross section data. and it have 40 sample of firm. The independent variables in this study are sustainability reports as measured by economic dimensions (EC), Social (SO), and Environment (EN). The dependent variable in this study is the company's financial performance which can be measured by liquidity ratio, solvability, activity, profitability and investment. Regression used in this research is multiple regression. The result of the research shows that there is influence of sustainability report of economic dimension (EC) with company financial performance. The sustainability report of social dimension and environmental dimension has no effect on company's financial performance. The results of this study are expected to provide benefits to companies, investors, and other stakeholders in the various functions of sustainability reporting mechanisms. The author uses only one control variable are firm size, if adding another control variable, there may be an independent variable influence on the dependent.

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Kasmanas, Jonas Coelho, Alexander Bartholomäus, Felipe Borim Corrêa, Tamara Tal, Nico Jehmlich, Gunda Herberth, Martin von Bergen, Peter F. Stadler, André Carlos Ponce de Leon Ferreira de Carvalho, and Ulisses Nunes da Rocha. "HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes." Nucleic Acids Research 49, no. D1 (November 22, 2020): D743—D750. http://dx.doi.org/10.1093/nar/gkaa1031.

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Abstract Metagenomics became a standard strategy to comprehend the functional potential of microbial communities, including the human microbiome. Currently, the number of metagenomes in public repositories is increasing exponentially. The Sequence Read Archive (SRA) and the MG-RAST are the two main repositories for metagenomic data. These databases allow scientists to reanalyze samples and explore new hypotheses. However, mining samples from them can be a limiting factor, since the metadata available in these repositories is often misannotated, misleading, and decentralized, creating an overly complex environment for sample reanalysis. The main goal of the HumanMetagenomeDB is to simplify the identification and use of public human metagenomes of interest. HumanMetagenomeDB version 1.0 contains metadata of 69 822 metagenomes. We standardized 203 attributes, based on standardized ontologies, describing host characteristics (e.g. sex, age and body mass index), diagnosis information (e.g. cancer, Crohn's disease and Parkinson), location (e.g. country, longitude and latitude), sampling site (e.g. gut, lung and skin) and sequencing attributes (e.g. sequencing platform, average length and sequence quality). Further, HumanMetagenomeDB version 1.0 metagenomes encompass 58 countries, 9 main sample sites (i.e. body parts), 58 diagnoses and multiple ages, ranging from just born to 91 years old. The HumanMetagenomeDB is publicly available at https://webapp.ufz.de/hmgdb/.

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Vieira, Gabriel A., and Francisco Prosdocimi. "Accessible molecular phylogenomics at no cost: obtaining 14 new mitogenomes for the ant subfamily Pseudomyrmecinae from public data." PeerJ 7 (January 24, 2019): e6271. http://dx.doi.org/10.7717/peerj.6271.

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The advent of Next Generation Sequencing has reduced sequencing costs and increased genomic projects from a huge amount of organismal taxa, generating an unprecedented amount of genomic datasets publicly available. Often, only a tiny fraction of outstanding relevance of the genomic data produced by researchers is used in their works. This fact allows the data generated to be recycled in further projects worldwide. The assembly of complete mitogenomes is frequently overlooked though it is useful to understand evolutionary relationships among taxa, especially those presenting poor mtDNA sampling at the level of genera and families. This is exactly the case for ants (Hymenoptera:Formicidae) and more specifically for the subfamily Pseudomyrmecinae, a group of arboreal ants with several cases of convergent coevolution without any complete mitochondrial sequence available. In this work, we assembled, annotated and performed comparative genomics analyses of 14 new complete mitochondria from Pseudomyrmecinae species relying solely on public datasets available from the Sequence Read Archive (SRA). We used all complete mitogenomes available for ants to study the gene order conservation and also to generate two phylogenetic trees using both (i) concatenated set of 13 mitochondrial genes and (ii) the whole mitochondrial sequences. Even though the tree topologies diverged subtly from each other (and from previous studies), our results confirm several known relationships and generate new evidences for sister clade classification inside Pseudomyrmecinae clade. We also performed a synteny analysis for Formicidae and identified possible sites in which nucleotidic insertions happened in mitogenomes of pseudomyrmecine ants. Using a data mining/bioinformatics approach, the current work increased the number of complete mitochondrial genomes available for ants from 15 to 29, demonstrating the unique potential of public databases for mitogenomics studies. The wide applications of mitogenomes in research and presence of mitochondrial data in different public dataset types makes the “no budget mitogenomics” approach ideal for comprehensive molecular studies, especially for subsampled taxa.

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6

Clark, Timothy P. "Mining the Sea." Sociology of Development 6, no. 2 (2020): 222–49. http://dx.doi.org/10.1525/sod.2020.6.2.222.

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Using primary and secondary historical data, descriptive time-series data, and site observations, this study unpacks the developmental history of one of the United States' oldest, largest, and still working fisheries. This study uses narrative analysis to explore how processes of commodification and the institutional workings of capitalist food regimes drove specific developmental outcomes. Internal comparison across periods enables an analysis of why the fishery declined in recent decades. The case also reveals important dynamics of the capitalist world food system and demonstrates how intersectional considerations, particularly the intersection of race and class dynamics, can bolster the “tragedy of the commodity” theoretical framework. The study thus tests and expands on that framework by including the considerations of cross-cutting inequalities and the world food system. Overall, this study demonstrates how the demands of generalized commodity production, in conjunction with the institutional parameters of a world capitalist food system, link processes of development across terrestrial and aquatic food systems. Furthermore, the internal comparison elucidates the socio-structural factors that drove the severe decline of the 170-year-old Atlantic menhaden fishery.

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Kang, Yajuan, and Shaojun Liu. "The Development History and Latest Progress of Deep-Sea Polymetallic Nodule Mining Technology." Minerals 11, no. 10 (October 14, 2021): 1132. http://dx.doi.org/10.3390/min11101132.

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Deep-sea polymetallic nodules are a mineral resource with potential for commercial development. Due to the unique deep-sea environment in which they are found, specialized technology and equipment are required for their extraction. In this paper, firstly, the development of deep-sea polymetallic nodule mining technology is classified into three stages, and its characteristics are summarized. Moreover, the results from research into deep-sea polymetallic nodule mining technology are analyzed, including proposals for mining systems, research into key technologies, basic scientific problems, and proof of technical feasibility from sea tests. Secondly, the testing of the collector prototype and the environmental impact assessment study of Global Sea Mineral Resources NV, as well as the progress of the deep-sea polymetallic nodule mining test project in China, are introduced. On this basis, the opportunities and challenges brought by the fast-growing demand for electric vehicles to the development of deep-sea polymetallic mining technology is analyzed, and a possible technical scheme for a mining system and the trends in its development towards high reliability and high standards of environmental protection according to the requirements of commercial exploitation are explored. This provides a reference for the research and development of high-efficiency technology and equipment for the mining of deep-sea polymetallic nodules.

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8

Meidiantama, Refi. "Law Enforcement on Sea Sand Mining Activities in Conflict with The Community in Lampung Province." Administrative and Environmental Law Review 3, no. 2 (November 7, 2022): 77–92. http://dx.doi.org/10.25041/aelr.v3i2.2643.

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The lack of law enforcement related to sea sand mining activities that conflict with the community in Lampung Province certainly causes many problems. In addition, the impact of the sea sand mining permit also overlaps the allocation of coastal areas and small islands and has the potential to cause quite a high social conflict and environmental ecosystems and cause of ecological disasters. This article aims to analyze law enforcement against marine sand mining activities that conflict with the community in Lampung Province. This study uses normative and empirical juridical methods with a qualitative analysis model. The results showed that sea sand mining conflicts in Lampung Province occurred due to the processes of issuing sea sand mining permits that overlapped with the fishing zones. Also in Lampung Provincial Regulation No. 1 of 2018 concerning Zoning Plans for Coastal Areas and Small Islands, there is no space allocation for the issuance of sea sand mining permits from 12 miles of coastline except for oil and gas mining in the East Lampung waters, complex conflicts due to enforcement The sea sand mining law is not clear, as evidenced by the existence of several cases of violations in the coastal sector and small islands of Lampung Province which were left without going through legal processes and imposition of sanctions.

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9

Yates, John, and K. R. Gupta. "India and deep sea mining." Endeavour 14, no. 1 (January 1990): 22–27. http://dx.doi.org/10.1016/s0160-9327(05)80048-1.

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10

Davies, Gareth. "Deep sea mining impact studies." Marine Pollution Bulletin 20, no. 1 (January 1989): 5–6. http://dx.doi.org/10.1016/0025-326x(89)90258-0.

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11

Woodwell, George M. "Curb deep-sea mining now." Nature 471, no. 7336 (March 2011): 36. http://dx.doi.org/10.1038/471036a.

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12

Xiao, Xiang, Xixiang Tang, Meixiang Xu, Zhiwei Yi, Xiang Zeng, and Lijin Jiang. "Bioresources mining from deep sea." Journal of Biotechnology 136 (October 2008): S528. http://dx.doi.org/10.1016/j.jbiotec.2008.07.1241.

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13

Ketrot, Daojarus, and Worachart Wisawapipat. "Lead immobilisation in mining contaminated soil using biochar and ash from sugarcane." Plant, Soil and Environment 67, No. 8 (August 12, 2021): 474–81. http://dx.doi.org/10.17221/57/2021-pse.

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Immobilisation of lead (Pb) and toxic elements in contaminated soils is of importance due to their persistence in the environment. Herein, we investigated the effects of sugarcane filter cake biochar (SFCB) and sugarcane bagasse ash (SBA) on the extractability of Pb and some toxic and potentially toxic elements (As, Cd, Cu, and Zn) in polluted mine soil samples from Lower Klity Creek, Thailand. The soil was equilibrated with the SFCB and SBA at the respective rates of 0, 1, and 5% (w/w) for 120 days at field capacity. The results revealed that both SFCB and SBA materials significantly (P < 0.05) decreased Pb extractability in the studied soil, and it stabilised after 56 days of incubation. At 120 days, the SFCB and SBA application at the rates of 5% SFCB, 5% SBA, 1% SFCB, and 1% SBA decreased the extractable Pb contents by 50.35, 40.81, 29.42, and 19.27%, respectively, compared to unamended soil. The SFCB and SBA materials also improved soil chemical properties by increasing the soil pH, available phosphorus, and extractable sulfur. At 5%, SFCB decreased As extractability and increased organic carbon in the studied soil. The Zn availability in the studied soil was also improved by SFCB and SBA addition. This study highlights the potential use of biochar and ash from the sugarcane industry to stabilise Pb and As in contaminated soils.

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14

Ma, Wenbin, Kairui Zhang, Yanlian Du, Xiangwei Liu, and Yijun Shen. "Status of Sustainability Development of Deep-Sea Mining Activities." Journal of Marine Science and Engineering 10, no. 10 (October 16, 2022): 1508. http://dx.doi.org/10.3390/jmse10101508.

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With technological improvement such as ore exploration, robotics, and hydrodynamic lifting, deep-sea mining has attracted more attention from governments, companies, and scientific research institutions. Although its research and development has made great progress, there are still many obstacles in its industrial development, such as environmental pollution and sustainability development issues. This article analyses the research status of the sustainable development of deep-sea mining from an overall perspective. Through a literature review, this paper also discusses the application of the full life cycle assessment method to analyze environmental impact during the entire process of deep-sea mining ore application. Overall, this paper summarizes the research gaps that exist in the sustainable development of deep-sea mining, including the lack of sufficient quantitative research, environmental baseline data research, cumulative environmental impact assessment, resource recycling technology, and acceptable environmental impact range analysis. The significance of this article is to point out the most urgent problems to be solved in the research direction of the sustainable development of deep-sea mining in current academic circles. It has far-reaching potential to promote the industrialization process of the entire deep-sea mining industry.

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15

Zami, Farrikh Al, Sendi Novianto, Asih Rohmani, Sri Winarno, Indra Gamayanto, Titien Suhartini Sukamto, Sasono Wibowo, Ramadhan Rakhmat Sani, and Setyo Budi. "PELATIHAN DAN SIMULASI DATA MINING PADA SMA NEGERI 3 SEMARANG." Jurnal Pengabdian Masyarakat Information Technology 1, no. 1 (March 13, 2022): 9–18. http://dx.doi.org/10.33557/jpm_itech.v1i1.1587.

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SMA Negeri 3 Semarang adalah salah satu dari beberapa SMA terbaik di kota semarang yang Siswa/i serta Gurunya mempunyai keahlian tinggi. Unsur utama yang dapat menaikkan keahlian SMA tersebut adalah telah dilakukannya kaloborasi dengan perguruan tinggi dalam kegiatan pelatihan dan peningkatan ilmu pengetahuan dari berbagai bidang, agar supaya dapat bersaing diera globalisasi. Sekarang ini menguatkan keahlian Siswa/i dan Guru merupakan hal utama, karena nantinya akan dapat bersaing dengan negara maju lainnya. Untuk menguatkan keahlian tersebut maka dilakukan pelatihan dan simulasi data mining di SMA Negeri 3 Semarang. Diawali dengan survei, kemudian dianalisis dan akhirnya dilaksanakan kegiatan pelatihan data mining. Hasil dari pengabdian masyarakat data mining ini adalah Siswa dan Guru mampu memahami data mining, contoh dan penerapannya, sehingga Siswa dan Guru memiliki pengetahuan khusus data mining yang berguna untuk meningkatkan kompetensi dan persaingan global.

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Zhao, Haiming, Yaqian Ji, and Qi Hao. "Operating Frequency of Cobalt-Rich Crust Micro-terrain Detection in Simulative Deep-Sea Mining." Journal of Clean Energy Technologies 5, no. 4 (July 2017): 314–19. http://dx.doi.org/10.18178/jocet.2017.5.4.390.

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17

Li, Liu Jun, Shao Jun Liu, and Jin Yu Zuo. "Parameter Design of Heave Compensation System of Deep-Sea Mining Based on Dynamic Vibration Absorber and its Experimental Study." Applied Mechanics and Materials 34-35 (October 2010): 1999–2005. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.1999.

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To ensure the safety and the production efficiency as well as the component lifetime of deep-sea mining system, a novel heave compensation system of deep-sea mining based on dynamic vibration absorber was proposed in the light of 5000m deep sea poly-metallic mining system of China in this paper. According to the work condition of heave compensation system, the response of deep-sea mining ship under random wave of sea state 4 in China’s deep sea poly-metallic mining field are numerically simulated in time domain. The proposed heave compensation system was simplified to a two-degree-of-freedom system stimulated by the displacement motion of the deep-sea mining ship and its dynamic model was built. Taking the minimum of the displacement variance of the proposed heave compensation system as the optimal object and considering the allowed displacement of the dynamic vibration absorber itself, the computation formula of the optimum parameters of dynamic vibration absorber for heave compensation system of deep-sea mining is derived. Thus the parameter of dynamic vibration absorber was determined and its effect on the performance index of the heave compensation system was simulated and compared. The dynamic vibration absorber with optimum parameters was simulated and tested on the test bench of double-storey mass-spring vibration system in the lab. The results of the example show that the performance of vibration control of the designed dynamic vibration absorber is satisfactory and the computational formulas given in the paper are effective. The results also verified that the heave compensator based on dynamic vibration absorber with the optimal parameters can have good performance of heave compensation and it is practical to isolate the lifting pipeline and its deployment platform from the vibration of the ship motion induced by the irregular wave with simplicity and less energy consumption. This work in the paper will be of great theoretical guidance in the optimum design of the dynamic vibration absorber for heave compensation system of deep-sea mining.

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Murraças, Adriana, Paula Maria Vaz Martins, Carlos Daniel Cipriani Ferreira, Tiago Marques Godinho, and Augusto Marques Ferreira da Silva. "Data Mining of MR Technical Parameters." International Journal of E-Health and Medical Communications 12, no. 1 (January 2021): 16–33. http://dx.doi.org/10.4018/ijehmc.2021010102.

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Exposure to radiofrequency (RF) energy during a magnetic resonance imaging exam is a safety concern related to biological thermal effects. Estimation of the specific absorption rate (SAR) is done by manufacturer scanner integrated tools to monitor RF energy. This work presents an exploratory approach of DICOM metadata focused in whole-body SAR values, patient dependent parameters, and pulse sequences. Previously acquired abdominopelvic and head studies were retrieved from a 3 Tesla scanner. Dicoogle tool was used for metadata indexing, mining, and extraction. Specifically weighted pulse sequences were related with weight, BMI, and gender through boxplot diagrams and effect size analysis. A decrease of SAR values with increasing body weight and BMI categories is observable for abdominopelvic studies. Head studies showed different trends regarding distinct pulse sequences; in addition, underage patients register higher SAR values compared to adults. Male individuals register marginally higher SAR values. Metadata recording practices and standardization need to be improved.

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19

Hallgren, Axel, and Anders Hansson. "Conflicting Narratives of Deep Sea Mining." Sustainability 13, no. 9 (May 8, 2021): 5261. http://dx.doi.org/10.3390/su13095261.

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As land-based mining industries face increasing complexities, e.g., diminishing return on investments, environmental degradation, and geopolitical tensions, governments are searching for alternatives. Following decades of anticipation, technological innovation, and exploration, deep seabed mining (DSM) in the oceans has, according to the mining industry and other proponents, moved closer to implementation. The DSM industry is currently waiting for international regulations that will guide future exploitation. This paper aims to provide an overview of the current status of DSM and structure ongoing key discussions and tensions prevalent in scientific literature. A narrative review method is applied, and the analysis inductively structures four narratives in the results section: (1) a green economy in a blue world, (2) the sharing of DSM profits, (3) the depths of the unknown, and (4) let the minerals be. The paper concludes that some narratives are conflicting, but the policy path that currently dominates has a preponderance towards Narrative 1—encouraging industrial mining in the near future based on current knowledge—and does not reflect current wider discussions in the literature. The paper suggests that the regulatory process and discussions should be opened up and more perspectives, such as if DSM is morally appropriate (Narrative 4), should be taken into consideration.

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20

Curran, Peter A. "Italian Legislation on Deep Sea Mining." Journal of World Trade 20, Issue 6 (November 1, 1986): 713–16. http://dx.doi.org/10.54648/trad1986074.

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21

Van Dover, C. L., J. A. Ardron, E. Escobar, M. Gianni, K. M. Gjerde, A. Jaeckel, D. O. B. Jones, et al. "Biodiversity loss from deep-sea mining." Nature Geoscience 10, no. 7 (June 26, 2017): 464–65. http://dx.doi.org/10.1038/ngeo2983.

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22

Peacock, Thomas, and Matthew H. Alford. "Is Deep-Sea Mining Worth It?" Scientific American 318, no. 5 (April 17, 2018): 72–77. http://dx.doi.org/10.1038/scientificamerican0518-72.

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23

Halfar, J., and R. M. Fujita. "ECOLOGY: Danger of Deep-Sea Mining." Science 316, no. 5827 (May 18, 2007): 987. http://dx.doi.org/10.1126/science.1138289.

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24

Halfar, Jochen, and Rodney M. Fujita. "Precautionary management of deep-sea mining." Marine Policy 26, no. 2 (March 2002): 103–6. http://dx.doi.org/10.1016/s0308-597x(01)00041-0.

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Gupta-Ostermann, Disha, Mathias Wawer, Anne Mai Wassermann, and Jürgen Bajorath. "Graph Mining for SAR Transfer Series." Journal of Chemical Information and Modeling 52, no. 4 (April 3, 2012): 935–42. http://dx.doi.org/10.1021/ci300071y.

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26

Sharma, Rahul. "Environmental Issues of Deep-Sea Mining." Procedia Earth and Planetary Science 11 (2015): 204–11. http://dx.doi.org/10.1016/j.proeps.2015.06.026.

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27

Ellis, Derek. "Canadians briefed on deep sea mining." Marine Pollution Bulletin 18, no. 2 (February 1987): 63. http://dx.doi.org/10.1016/0025-326x(87)90562-5.

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28

Bornscheuer, Uwe T. "Deep Sea Mining for Unique Biocatalysts." Chemistry & Biology 12, no. 8 (August 2005): 859–60. http://dx.doi.org/10.1016/j.chembiol.2005.08.001.

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29

Van Dover, Cindy Lee. "Tighten regulations on deep-sea mining." Nature 470, no. 7332 (February 2011): 31–33. http://dx.doi.org/10.1038/470031a.

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30

Moskvitch, Katia. "Health check for deep-sea mining." Nature 512, no. 7513 (August 2014): 122–23. http://dx.doi.org/10.1038/512122a.

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Hallatu, Trinovianto George Reinhard, Darsono Wisadirana, Sholih Mu'adi, and Anif Fatma Chawa. "Illegal sand mining and sar local wisdom: a case study in Merauke." International journal of social sciences and humanities 5, no. 1 (March 21, 2021): 45–56. http://dx.doi.org/10.29332/ijssh.v5n1.827.

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Illegal sand mining is carried out causing bad environmental problems. There needs to be a solution to solve the problem of illegal sand mining. The purpose of this study is to describe the impact of illegal sand mining in Merauke and the role of local wisdom to prevent illegal mining. This research is descriptive qualitative research. The place of research is Ndalir beach, the beach where sand mining occurs, and also Tomer village as one of the villages affected by illegal sand mining. Data was collected by direct observation and also in-depth interviews with several communities. The data obtained is that illegal sand mining provides benefits to the customary landowners of the sand village and also provides income to the sand miners. The negative impact of illegal mining is that it causes damage to mangrove forests resulting in abrasion, rising seawater to roads and homes, damage to roads and bridges. The solution is to adopt the local wisdom of the Kanum tribe, to prevent illegal sand mining.

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Setiawan, Atje, and Rudi Rosadi. "SPASIAL DATA MINING MENGGUNAKAN MODEL SAR-KRIGING." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 5, no. 3 (November 19, 2011): 52. http://dx.doi.org/10.22146/ijccs.5213.

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The region of Indonesia is very sparse and it has a variation condition in social, economic and culture, so the problem in education quality at many locations is an interesting topic to be studied. Database used in this research is Base Survey of National Education 2003, while a spatial data is presented by district coordinate as a least analysis unit. The aim of this research is to study and to apply spatial data mining to predict education quality at elementary and junior high schools using SAR-Kriging method which combines an expansion SAR and Kriging method. Spatial data mining process has three stages. preprocessing, process of data mining, and post processing.For processing data and checking model, we built software application of Spatial Data Mining using SAR-Kriging method. An application is used to predict education quality at unsample locations at some cities at DIY Province. The result shows that SAR-Kriging method for some cities at DIY for elementary school has an average percentage error 6.43%. We can conclude that for elementary school, SAR-Kriging method can be used as a fitted model. Keywords— Expansion SAR, SAR-Kriging, quality education

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Ramachandran, Hari Krishnan, Sai Saketh, and Marichetty Venkata Teja Vaibhav. "Bitcoin Mining." International Journal of Cloud Applications and Computing 5, no. 4 (October 2015): 56–87. http://dx.doi.org/10.4018/ijcac.2015100104.

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Cryptocurrency, a form of digital currency that has an open and decentralized system and uses cryptography to enhance security and control the creation of new units, is touted to be the next step from conventional monetary transactions. Many Cryptocurrencies exist today, with Bitcoin being the most prominent of them. Cryptocurrencies are generated by mining, as a fee for validating any transaction. The rate of generating hashes, which validate any transaction, has been increased by the use of specialized machine such as ASICs, running complex hashing algorithms like SHA-256, thereby leading to faster generation of Cryptocurrencies. With more people venturing into the world of virtual currency, generating hashes for this validation has become far more complex over the years, with miners having to invest huge sums of money on employing and maintaining multiple high performance ASICs. This paper throws light on the nuances of Cryptocurrency mining process, the issues of traditional mining machines and the implication of incorporating cloud technology to current mining infrastructure.

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Bortnowska, Monika. "Prediction of power demand for ship motion control system of sea mining ship fitted with tubular winning system." Polish Maritime Research 14, no. 4 (October 1, 2007): 24–30. http://dx.doi.org/10.2478/v10012-007-0036-7.

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Prediction of power demand for ship motion control system of sea mining ship fitted with tubular winning system One of the crucial systems of sea mining ship for poly-metallic concretions is its motion control system (SMC). Power of such system depends on sea environment characteristics and main dimensions of the ship. It can be expected that it will have important influence on total power of the ship's power plant and in effect on the mining ship's dimensions. In this paper is presented one of the possible ways of preliminary estimation of design power of SMC system for sea mining ship. Since details of design solution of such system for the ship in question are unknown (ships of the kind have not been built so far) the presented results should be considered to be the first estimation of the order of the power demand.

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袁, 建. "Research on User Kansei Demand Based on Online Comment Data Mining." Software Engineering and Applications 10, no. 02 (2021): 51–59. http://dx.doi.org/10.12677/sea.2021.102008.

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杜, 新禄. "Social Web Application Development Based on Data Analysis and Data Mining." Software Engineering and Applications 06, no. 06 (2017): 205–12. http://dx.doi.org/10.12677/sea.2017.66024.

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Sharma, Rahul. "Deep-Sea Mining: Economic, Technical, Technological, and Environmental Considerations for Sustainable Development." Marine Technology Society Journal 45, no. 5 (September 1, 2011): 28–41. http://dx.doi.org/10.4031/mtsj.45.5.2.

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AbstractMining of minerals such as polymetallic nodules from the deep-sea floor has been “on-hold” as a result of several factors such as current availability of Cu, Ni, Co and Mn from terrestrial sources and their fluctuating prices. Nonetheless, exploration for new resources from deep-sea areas and development of technologies for deep-sea mining have been progressing consistently. These, coupled with recent projections of deep-sea minerals as the alternative source for metals and granting of licenses for exploration and mining of seafloor massive sulfides to private entrepreneurs, indicate the continuing interest and support the perception that such deposits may serve as sources of metals in the 21st century. However, there are several considerations for the sustainable development of deep-sea mining.A typical area of 75,000 km2 with an estimated nodule resource of >200 million tonnes is expected to yield about 54 million tonnes of metals (Mn + Ni + Cu + Co), and the gross in-place value of the metals is estimated to be ∼$21‐42 billion (depending upon the annual rate of mining) in the 20-year life span of a mine site. The decision on the timing to resume mining of these deposits will be based on the prevalent metal prices and rate of returns on the estimated investment of $1.95 billion as capital expenditure and $9 billion as operating expenditure for a single deep-sea mining venture.In view of high investment, technological challenges and economic considerations, private-public cooperation could be an effective means to make deep-sea mining a success. This paper analyzes the current status and discusses the economic, technical, technological, and environmental issues that need to be addressed for sustainable development of deep-sea minerals.

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Zhang, Bochen, Songbo Wu, Xiaoli Ding, Chisheng Wang, Jiasong Zhu, and Qingquan Li. "Use of Multiplatform SAR Imagery in Mining Deformation Monitoring with Dense Vegetation Coverage: A Case Study in the Fengfeng Mining Area, China." Remote Sensing 13, no. 16 (August 5, 2021): 3091. http://dx.doi.org/10.3390/rs13163091.

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Ground deformation related to mining activities may occur immediately or many years later, leading to a series of mine geological disasters, such as ground fissures, collapses, and even mining earthquakes. Deformation monitoring has been carried out with techniques, such as multitemporal interferometric synthetic aperture radar (MTInSAR). Over the past decade, MTInSAR has been widely used in monitoring mining deformation, and it is still difficult to retrieve mining deformation over dense vegetation areas. In this study, we use multiple-platform SAR images to retrieve mining deformation over dense vegetation areas. The high-quality interferograms are selected by the coherence map, and the mining deformation is retrieved by the MSBAS-InSAR technique. SAR images from TerraSAR-X, Sentinel-1A, Radarsat-2, and PALSAR-2 over the Fengfeng mining area, Heibei, China, are used to retrieve the deformation of mining activities covered with dense vegetation. The results show that the subsidence in the Fengfeng mining area reaches up to 90 cm over the period from July 2015 to April 2016. The root-mean-square error (RMSE) between the results from InSAR and leveling is 83.5 mm/yr at two mining sites, i.e., Wannian and Jiulong Mines.

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Ding, Zhi, Xiaohan Liao, Fenzhen Su, and Dongjie Fu. "Mining Coastal Land Use Sequential Pattern and Its Land Use Associations Based on Association Rule Mining." Remote Sensing 9, no. 2 (January 29, 2017): 116. http://dx.doi.org/10.3390/rs9020116.

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Abstract: Research on the land use of the coastal zone in the sea–land direction will not only reveal its land use distribution, but may also indicate the interactions between inland land use and the ocean through associations between inland land use and seaward land use indirectly. However, in the existing research, few have paid attention to the land use in sea–land direction, let alone the sequential relationship between land-use types. The sequential relationship would be useful in land use planning and rehabilitation of the landscape in the sea–land direction, and the association between land-use types, particularly the inland land use and seaward land use, is not discussed. Therefore, This study presents a model named ARCLUSSM (Association Rules-based Coastal Land use Spatial Sequence Model) to mine the sequential pattern of land use with interesting associations in the sea–land direction of the coastal zone. As a case study, the typical coastal zone of Bohai Bay and the Yellow River delta in China was used. The results are as follows: firstly, 27 interesting association patterns of land use in the sea–land direction of the coastal zone were mined easily. Both sequential relationship and distance between land-use types for 27 patterns among six land-use types were mined definitely, and the sequence of the six land-use types tended to be tidal flat > shrimp pond > reservoir/artificial pond > settlement > river > dry land in sea–land direction. These patterns would offer specific support for land-use planning and rehabilitation of the coastal zone. There were 19 association patterns between seaward and landward land-use types. These patterns showed strong associations between seaward and landward land-use types. It indicated that the landward land use might have some impacts on the seaward land use, or in the other direction, which may help to reveal the interactions between inland land use and the ocean. Thus, the ARCLUSSM was an efficient tool to mine the sequential relationship and distance between land-use types with interesting association rules in the sea–land direction, which would offer practicable advice to appropriate coastal zone management and planning, and might reveal the interactions between inland land use and the ocean.

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Willaert, Klaas. "Protest at Sea against Deep Sea Mining: Lawfulness, Limits and Remedies." International Journal of Marine and Coastal Law 36, no. 4 (October 27, 2021): 672–83. http://dx.doi.org/10.1163/15718085-bja10077.

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Abstract Protest at sea has been on the rise and this trend has now also manifested itself within the context of deep sea mining. In May 2021, Greenpeace activists approached the Normand Energy, a ship chartered by Belgian deep sea mining contractor Global Sea Mineral Resources (GSR), and interfered with its operations by painting slogans on the hull of the vessel and attaching banners to the umbilical cord of GSR’s prototype nodule collector. On the basis of applicable international principles and provisions, such actions can be considered unlawful, but adequate enforcement and effective remedies are lacking.

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Janse van Rensburg, Gabrielle, and Jaco Kemp. "The Use of C-Band and X-Band SAR with Machine Learning for Detecting Small-Scale Mining." Remote Sensing 14, no. 4 (February 17, 2022): 977. http://dx.doi.org/10.3390/rs14040977.

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Illicit small-scale mining occurs in many tropical regions and is both environmentally and socially hazardous. The aim of this study was to determine whether the classification of Synthetic Aperture Radar (SAR) imagery could detect and map small-scale mining in Ghana by analyzing multi-temporal filtering applied to three SAR datasets and testing five machine-learning classifiers. Using an object-based image analysis approach, we were successful in classifying water bodies associated with small-scale mining. The multi-temporally filtered Sentinel-1 dataset was the most reliable, with kappa coefficients at 0.65 and 0.82 for the multi-class classification scheme and binary-water classification scheme, respectively. The single-date Sentinel-1 dataset has the highest overall accuracy, at 90.93% for the binary water classification scheme. The KompSAT-5 dataset achieved the lowest accuracy at an overall accuracy of 80.61% and a kappa coefficient of 0.61 for a binary-water classification scheme. The experimental results demonstrated that it is possible to classify water as a proxy to identify illegal mining activities and that SAR is a potentially accurate and reliable solution for the detection of SSM in tropical regions such as Ghana. Therefore, using SAR can assist local governments in regulating small-scale mining activities by providing specific spatial information on the whereabouts of small-scale mining locations.

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林, 梦琪. "Analysis of College Students’ Computer Skills Requirements Based on Mixed Data Mining." Software Engineering and Applications 10, no. 06 (2021): 779–90. http://dx.doi.org/10.12677/sea.2021.106082.

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Xie, Chao, Ming Chen, Lan Wang, Casey Agee, Shaoming Yao, Jinrong Zheng, Jun Liu, et al. "A Study on the Performance Modeling Method for a Deep-Sea Cobalt-Rich Crust Mining Vehicle." Minerals 12, no. 12 (November 28, 2022): 1521. http://dx.doi.org/10.3390/min12121521.

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To mine the cobalt-rich crust deposits at the substrate of the slope of the seamount, the mining vehicle needs to walk on the slope and strip the cobalt-rich crust from the substrate. To achieve safety and control, the vehicle needs to stably walk on the slope. In this paper, we propose a modeling method for mining vehicle performance based on slope stability and antislip and antiskid conditions. The specific energy of three types of mining vehicles is compared based on dimensionless parameters. The dual-drum type is determined to be the best choice in terms of energy costs, followed by the down-milling type. The performance of the compact mining vehicle based on different slope angles and two sea trial results in the South China Sea indicate that the slope angle, substrate, and crust have significant effects on the stability. The modeling method proposed in this paper can help designers estimate the structure and power of mining vehicles based on mining stability.

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Yu, Yong Tao, and Ying Ding. "Sea-Battlefield Situation Assessment Method Based on Data Mining." Advanced Materials Research 677 (March 2013): 460–65. http://dx.doi.org/10.4028/www.scientific.net/amr.677.460.

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How to describe a complex dynamic and efficient sea-battlefield situation assessment is the major problem facing operational decision support. In this paper, according to research the sea-battlefield situation assessment based on data mining technology. First analysis and to determine sea-battlefield situation assessment of data mining tasks; second, build the sea-battlefield situation data marts; the third step is the sea-battlefield situation datasets city data pre-processing operations, and solve the problem of inaccurate data, incomplete; the fourth step of the properties of the sea-battlefield situation assessment data is simple, to solve the problem of rules extraction efficiency; finally, based on the genetic algorithm generated after a simple sea-battlefield situation assessment rules extracted the sea-battlefield situation assessment optimal rules.

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Lobo, Felipe de Lucia, Pedro Walfir M. Souza-Filho, Evlyn Márcia Leão de Moraes Novo, Felipe Menino Carlos, and Claudio Clemente Faria Barbosa. "Mapping Mining Areas in the Brazilian Amazon Using MSI/Sentinel-2 Imagery (2017)." Remote Sensing 10, no. 8 (July 25, 2018): 1178. http://dx.doi.org/10.3390/rs10081178.

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Although mining plays an important role for the economy of the Amazon, little is known about its attributes such as area, type, scale, and current status as well as socio/environmental impacts. Therefore, we first propose a low time-consuming and high detection accuracy method for mapping the current mining areas within 13 regions of the Brazilian Amazon using Sentinel-2 images. Then, integrating the maps in a GIS (Geography Information System) environment, mining attributes for each region were further assessed with the aid of the DNPM (National Department for Mineral Production) database. Detection of the mining area was conducted in five main steps. (a) MSI (MultiSpectral Instrument)/Sentinel-2A (S2A) image selection; (b) definition of land-use classes and training samples; (c) supervised classification; (d) vector editing for quality control; and (e) validation with high-resolution RapidEye images (Kappa = 0.70). Mining areas derived from validated S2A classification totals 1084.7 km2 in the regions analyzed. Small-scale mining comprises up to 64% of total mining area detected comprises mostly gold (617.8 km2), followed by tin mining (73.0 km2). The remaining 36% is comprised by industrial mining such as iron (47.8), copper (55.5) and manganese (8.9 km2) in Carajás, bauxite in Trombetas (78.4) and Rio Capim (48.5 km2). Given recent events of mining impacts, the large extension of mining areas detected raises a concern regarding its socio-environmental impacts for the Amazonian ecosystems and for local communities.

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IbrahimB, Mohamed, and Mohamed Shanavas A R. "Identifying SOA Security Threats using Web Mining." International Journal of Computer Applications 120, no. 4 (June 18, 2015): 8–14. http://dx.doi.org/10.5120/21214-3929.

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Nelson, L. D. M. "The New Deep Sea-Bed Mining Regime." International Journal of Marine and Coastal Law 10, no. 2 (1995): 189–203. http://dx.doi.org/10.1163/157180895x00042.

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Mocek, Piotr. "Analysis of SRK S.A. mining rescue costs." IOP Conference Series: Earth and Environmental Science 198 (November 27, 2018): 012007. http://dx.doi.org/10.1088/1755-1315/198/1/012007.

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Losada, Sebastian, and Pierre Terras. "Sea-bed mining — count the true costs." Nature 557, no. 7703 (May 2018): 31. http://dx.doi.org/10.1038/d41586-018-05016-0.

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Nath, B. Nagender, and R. Sharma. "Environment and Deep-Sea Mining: A Perspective." Marine Georesources & Geotechnology 18, no. 3 (July 2000): 285–94. http://dx.doi.org/10.1080/10641190009353796.

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