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Academic literature on the topic 'Stance mining'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Stance mining"

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Stede, Manfred. "Automatic argumentation mining and the role of stance and sentiment." Journal of Argumentation in Context 9, no. 1 (May 4, 2020): 19–41. http://dx.doi.org/10.1075/jaic.00006.ste.

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Abstract Argumentation mining is a subfield of Computational Linguistics that aims (primarily) at automatically finding arguments and their structural components in natural language text. We provide a short introduction to this field, intended for an audience with a limited computational background. After explaining the subtasks involved in this problem of deriving the structure of arguments, we describe two other applications that are popular in computational linguistics: sentiment analysis and stance detection. From the linguistic viewpoint, they concern the semantics of evaluation in language. In the final part of the paper, we briefly examine the roles that these two tasks play in argumentation mining, both in current practice, and in possible future systems.
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Wang, Rui, Deyu Zhou, Mingmin Jiang, Jiasheng Si, and Yang Yang. "A Survey on Opinion Mining: From Stance to Product Aspect." IEEE Access 7 (2019): 41101–24. http://dx.doi.org/10.1109/access.2019.2906754.

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Schaefer, Robin, and Manfred Stede. "Argument Mining on Twitter: A survey." it - Information Technology 63, no. 1 (February 1, 2021): 45–58. http://dx.doi.org/10.1515/itit-2020-0053.

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Abstract In the last decade, the field of argument mining has grown notably. However, only relatively few studies have investigated argumentation in social media and specifically on Twitter. Here, we provide the, to our knowledge, first critical in-depth survey of the state of the art in tweet-based argument mining. We discuss approaches to modelling the structure of arguments in the context of tweet corpus annotation, and we review current progress in the task of detecting argument components and their relations in tweets. We also survey the intersection of argument mining and stance detection, before we conclude with an outlook.
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Huang, Weidong, Yuan Wang, Jinyuan Yang, and Yijun Xu. "Stance Detection Based on User Feature Fusion." Computational Intelligence and Neuroscience 2022 (March 30, 2022): 1–9. http://dx.doi.org/10.1155/2022/5738404.

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Rapid development of the Internet has contributed to the widespread adoption of social network platforms. Network media plays an important role in the process of public opinion dissemination and bears significant social responsibility. Public opinion mining is of great significance for online media to improve the quality of content provision and enhance media credibility. How to make full use of user-generated content is the key to improving the accuracy of position detection tasks. In this paper, we proposed a stance detection model based on user feature fusion by using comments of netizens in false news events on Weibo as research content. The method of feature fusion is adopted to integrate vectors including user sentiment, cognitive features, and text feature at the feature layer for model training and position prediction. The model is evaluated on a dataset of related microblog comments in false news. The result shows that our proposed method has a certain improvement in the effect of stance detection.
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Göcke, Katja. "Uranium Mining in Nunavut." Yearbook of Polar Law Online 5, no. 1 (2013): 119–42. http://dx.doi.org/10.1163/22116427-91000121.

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Abstract The Inuit in the Canadian Arctic have fought uranium mining on their ancestral lands for years. In 1993, after decades of negotiations, the federal government and Inuit representatives signed the Nunavut Land Claims Agreement (“NLCA”), which not only provided for the creation of the Territory of Nunavut as new political entity within the Canadian federal system and the establishment of a public territorial government, but also transferred land and resource ownership over vast areas of the newly-created territory, as well as considerable co-management rights, to the Inuit of Nunavut. To govern these special rights and benefits on behalf of the Inuit of Nunavut and to watch over the implementation of and adherence to the NLCA, the NLCA established the Inuit-organization Nunavut Tunngavik Inc. (“NTI”). Initially NTI banned uranium mining. In 2007, however, NTI reversed its stance and adopted a pro-uranium policy without prior Inuit, community or public input. Following the adoption of the new policy, several uranium mining companies have started to negotiate agreements with NTI to open mines on Inuit-owned lands. NTI’s decision to lift its ban on uranium mining has not only initiated a public debate on the safety and desirability of uranium mining in Nunavut but also calls the legitimacy of the political system of Nunavut into question. This paper will look at the different stakeholders involved in the uranium controversy and their powers to take and influence decisions regarding uranium mining. It is argued that the uranium controversy has revealed a democracy deficit that needs to be addressed.
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Milutinović, Sunčica, and Olivera Grljević. "Analysis of accountants' attitudes on regulation using data mining." Ekonomika preduzeca 68, no. 5-6 (2020): 341–53. http://dx.doi.org/10.5937/ekopre2006341m.

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The subject of this research is evaluation of legal and international accounting regulations in terms of major deficiencies from the perspective of their users. Identification of the shortcomings of the current accounting regulations is important for improvement of laws governing accounting and audit practices, as they are in the process of public debate in the Republic of Serbia. The research was conducted to provide answers to the following research questions: What are the main deficiencies of regulations as considered by accountants? How do accountants get information on accounting regulations? And are the two research questions related? The targeted population comprises accountants and auditors employed in the private sector. Data collection was carried throughout the period of six months, during which we collected 338 fully completed questionnaires for the purposes of the study. Collected data was analysed using clustering data mining technique. Clustering algorithms enabled segmentation of surveyed accountants into well-separated and homogeneous groups of similar accountants. Analysis of the resulting clusters gave insights into the opinion and stance of accountants who exhibit similar characteristics. These insights form a solid basis for drawing conclusions on deficiencies of accounting regulations perceived by accountants in Serbia, which they are dealing with in day-to-day business.
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Wei, Penghui, Wenji Mao, and Guandan Chen. "A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7249–56. http://dx.doi.org/10.1609/aaai.v33i01.33017249.

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Analyzing public attitudes plays an important role in opinion mining systems. Stance detection aims to determine from a text whether its author is in favor of, against, or neutral towards a given target. One challenge of this task is that a text may not explicitly express an attitude towards the target, but existing approaches utilize target content alone to build models. Moreover, although weakly supervised approaches have been proposed to ease the burden of manually annotating largescale training data, such approaches are confronted with noisy labeling problem. To address the above two issues, in this paper, we propose a Topic-Aware Reinforced Model (TARM) for weakly supervised stance detection. Our model consists of two complementary components: (1) a detection network that incorporates target-related topic information into representation learning for identifying stance effectively; (2) a policy network that learns to eliminate noisy instances from auto-labeled data based on off-policy reinforcement learning. Two networks are alternately optimized to improve each other’s performances. Experimental results demonstrate that our proposed model TARM outperforms the state-of-the-art approaches.
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Holden, William, and Daniel Jacobson. "Ecclesial Opposition to Mining on Mindanao: Neoliberalism Encounters the Church of the Poor in the Land of Promise." Worldviews: Global Religions, Culture, and Ecology 11, no. 2 (2007): 155–202. http://dx.doi.org/10.1163/156853507x204923.

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AbstractIn the developing world, environmental issues are often livelihood issues as the poor try to protect resources necessary for their subsistence. This paper examines the opposition of the Roman Catholic Church, on the Island of Mindanao, to neoliberal policies designed by the Philippine government to encourage nonferrous metals mining by multinational corporations. Mining is an activity with substantial potential for environmental degradation that can deprive the poor of their livelihood. The Church, demonstrating the influence of liberation theology and its preferential option for the poor, has taken a stance opposing mining as an activity that may harm the poor by degrading the environment upon which they depend for their livelihood and further impoverish them. The paper examines the Church's efforts to provide alternative development programs for the poor and discusses the potential for more conflict between neoliberalism, and its "top down" methods of implementing policies, and liberation theology with its "bottom up" perspective on achieving development.
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Ahmadi, Seyed-Ahmad, Gerome Vivar, Johann Frei, Sergej Nowoshilow, Stanislav Bardins, Thomas Brandt, and Siegbert Krafczyk. "Towards computerized diagnosis of neurological stance disorders: data mining and machine learning of posturography and sway." Journal of Neurology 266, S1 (July 8, 2019): 108–17. http://dx.doi.org/10.1007/s00415-019-09458-y.

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Wang, Heyuan, Tengjiao Wang, and Yi Li. "Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (April 3, 2020): 971–78. http://dx.doi.org/10.1609/aaai.v34i01.5445.

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Investment messages published on social media platforms are highly valuable for stock prediction. Most previous work regards overall message sentiments as forecast indicators and relies on shallow features (bag-of-words, noun phrases, etc.) to determine the investment opinion signals. These methods neither capture the time-sensitive and target-aware characteristics of stock investment reviews, nor consider the impact of investor's reliability. In this study, we provide an in-depth analysis of public stock reviews and their application in stock movement prediction. Specifically, we propose a novel framework which includes the following three key components: time-sensitive and target-aware investment stance detection, expert-based dynamic stance aggregation, and stock movement prediction. We first introduce our stance detection model named MFN, which learns the representation of each review by integrating multi-view textual features and extended knowledge in financial domain to distill bullish/bearish investment opinions. Then we show how to identify the validity of each review, and enhance stock movement prediction by incorporating expert-based aggregated opinion signals. Experiments on real datasets show our framework can effectively improve the performance of both investment opinion mining and individual stock forecasting.
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Dissertations / Theses on the topic "Stance mining"

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Ruggeri, Federico. "Predizione della struttura di un argomento con feature di stance classification." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15009/.

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Nell'ultimo decennio i settori di ricerca nell'ambito dell'elaborazione automatica del linguaggio naturale (NLP) hanno acquisito sempre maggiore interesse, in concomitanza con l'introduzione continua di strumenti di machine learning innovativi. In generale, seppur sia comunque presente un'ambizione ideologica, l'interesse principale è riconducibile ad un piano prettamente applicativo, di natura sociale o politica, dove l'introduzione di nuove informazioni può apportare un notevole miglioramento in molti processi di interesse reale e contribuire all'indagine di nuove tendenze e/o conflitti. Il potenziale riscontrato nei presenti ambiti di ricerca ha attirato l'attenzione di aziende di notevole portata, al punto da finanziare progetti ambiziosi volti a rispondere a necessità emergenti proprie di molteplici realtà di diversa natura. A partire da queste premesse, il presente elaborato si pone come obiettivo la definizione di un modello atto a individuare punti di affinità tra due specifiche attività di recente interesse, denominate stance classification e argument structure prediction. I primi due capitoli introducono rispettivamente i concetti di stance classification e argumentation mining, soffermandosi, in particolar modo, sulle tecniche e le metodologie impiegate. Il terzo capitolo affronta il tema della definizione di uno strumento di classificazione comparabile con lo stato dell'arte nell'ambito della stance classification. Il quarto capitolo si interessa principalmente dell'individuazione di un legame tra i due settori di ricerca presi in esame, per poi mettere a confronto alcune tecniche specifiche attualmente impiegate per l'argument structure prediction con le principali adottate nell'ambito della stance classification. Infine, nel quinto e ultimo capitolo viene proposto un nuovo corpus per la sperimentazione degli stessi approcci impiegati nel capitolo precedente, con particolare attenzione a proporre degli opportuni test di confronto e di verifica.
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Siseho, Kamwi Rector. "Constraints on the genesis of the Sandamap gold prospect, Namibia: fluid inclusion, geochronology and stable isotope studies." University of the Western Cape, 2020. http://hdl.handle.net/11394/7246.

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Philosophiae Doctor - PhD
The Sandamap gold prospect is a metaturbidite shear zone-hosted gold mineralization located in the Neoproterozoic Damara Orogen 30 km northwest of the town of Usakos in Namibia with an estimated gold content of 240 000 t at 3.6 g/t up to 40 m below surface. This research project was aimed at constraining the age, crustal level of formation, pressure-temperature conditions during formation, sources of the mineralizing fluids, and by implication, the metal sources of the Sandamap gold mineralization. Fluid inclusion, geochronological and isotopic studies were carried out on quartz veins hosting the ore. The presence of kaolinite, alunite and jarosite suggest post-hydrothermal weathering of sulfides. Various sources of data from this study, giving rise to depths of entrapment of 4 to 14 km, temperature range of entrapment of fluids of 187 – 594 °C, stable isotope data (δ13C and δ18O), δD values and a δD vs. δ18OH2O plot are all in favour of an orogenic gold deposit. Additionally, the dominant CO2-rich and CH4-rich fluids observed at Sandamap do not contradict this interpretation. The calculated depth of entrapment of mineralization covers the lower portion of the epizonal zone to the upper portion of the hypozonal zone of gold deposits. The Sandamap mineralization’s δD values of -35‰ to -49‰ fall within the range of most published data for typical orogenic gold deposits which varies from -20 to -80‰. Moreover, the calculated δ18Owater values of the ore-fluids (+6.6 to +11.3‰) of the higher temperature aqueous group from the Sandamap mineralization fall within the range observed in typical orogenic gold deposits found in Phanerozoic terrains (+7 to +13‰). The schist hosting the mineralized shear zone with a gold content of 0.05 ppm Au or its higher grade equivalent at depth, is a possible gold source candidate. Two mechanisms of deposition were possibly at play: (i) the cooling below 500 °C and possible sulfidation (resulting from fluid-rock interaction), lowered the solubility of pyrite causing S3- and Au(HS)S3- (possible main Au carriers) to breakdown resulting in decreased Au solubility and its subsequent deposition and (ii) the elevated amount of CO2 (e.g. trench 14 where CO2-rich fluid inclusions are dominant) led to a sharp decrease in the Au(HS)2- and Au(HS)S3- concentrations, causing decreased Au solubility and its subsequent deposition. The age of mineralization obtained from 40Ar/39Ar dating of the muscovite associated with the ore-hosting quartz veins is placed at 472 ± 3 Ma. The mineralization is younger than the shear zone, which acted as a conduit for ore-fluid migration and it has no age relationship with proximal plutonic bodies. The mineralization is younger than the foliated granite (FG), which exhibits a metamorphic fabric in the form of mineral segregation, but older than the non-foliated granite (GT) which hosts a mineralized xenolith.
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Loscalzo, Steven. "Group based techniques for stable feature selection." Diss., Online access via UMI:, 2009.

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Ozharar, Sarper. "Stable optical frequency comb generation and applications in arbitrary waveform generation, signal processing and optical data mining." Orlando, Fla. : University of Central Florida, 2008. http://purl.fcla.edu/fcla/etd/CFE0002388.

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Miao, Ziheng. "Application of Stable Isotopes and Geochemical Analysis to Characterize Sulfate, Nitrate, and Trace Element Contamination of Groundwater and Its Remediation at a Former Uranium Mining Site." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/293389.

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Sulfate, nitrate, and certain trace elements are common groundwater contaminants observed at mining sites. Their source, fate, and remediation were investigated at a former uranium mining site. First, groundwater samples collected across the site were analyzed for geochemistry, stable isotopes, and trace elements. Then, two pilot-scale ethanol injection tests were conducted for biostimulation of nitrate and sulfate reduction. Groundwater was monitored in the test area before and after the tests. The results showed a mixing of two discrete sources of sulfate. Quantification of these two sources using two methods showed that sulfide-mineral oxidation of the mine tailings served as a steady but low-discharge source while sulfuric acid (applied during ore processing in the 1960s) served as a variable, strong source. It appears that sulfuric acid served as a sustained source of sulfate for approximately 40 years. This source may be from accumulation of sulfate salts (formed from sulfuric acid) in the source zone due to the arid climate of the site. Results showing correspondence of isotopic compositions of ammonium and nitrate confirmed the generation of nitrate via nitrification. Moreover, it was observed that ammonium concentration is closely related to concentrations of uranium and a series of other trace elements including chromium, selenium, vanadium, iron, and manganese. It is hypothesized that ammonium-nitrate transformation processes influence the disposition of the trace elements through mediation of redox potential, pH, and possibly aqueous complexation and solid-phase sorption. As for the biostimulation, sulfate reduction condition has been maintained for a period of approximately 3 years after a single input. Atypical fractionation behavior of the delta34S in sulfate was hypothesized to be caused by release of sulfate from sulfate minerals associated with the sediments. Elevated hydrogen sulfide concentrations were not observed until approximately four months after the start of the test. This behavior, in concert with the observed changes in aqueous iron and manganese species, suggests that hydrogen sulfide produced from sulfate reduction was precipitated, presumably in the form of iron sulfides, until the exhaustion of readily reducible iron oxides. Hydrogen sulfide produced thereafter appears to have been in part re-oxidized.
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Ozharar, Sarper. "STABLE OPTICAL FREQUENCY COMB GENERATION AND APPLICATIONS IN ARBITRARY WAVEFORM GENERATION, SIGNAL PROCESSING AND OPTICAL DATA M." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3516.

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This thesis focuses on the generation and applications of stable optical frequency combs. Optical frequency combs are defined as equally spaced optical frequencies with a fixed phase relation among themselves. The conventional source of optical frequency combs is the optical spectrum of the modelocked lasers. In this work, we investigated alternative methods for optical comb generation, such as dual sine wave phase modulation, which is more practical and cost effective compared to modelocked lasers stabilized to a reference. Incorporating these comblines, we have generated tunable RF tones using the serrodyne technique. The tuning range was ±1 MHz, limited by the electronic waveform generator, and the RF carrier frequency is limited by the bandwidth of the photodetector. Similarly, using parabolic phase modulation together with time division multiplexing, RF chirp extension has been realized. Another application of the optical frequency combs studied in this thesis is real time data mining in a bit stream. A novel optoelectronic logic gate has been developed for this application and used to detect an 8 bit long target pattern. Also another approach based on orthogonal Hadamard codes have been proposed and explained in detail. Also novel intracavity modulation schemes have been investigated and applied for various applications such as a) improving rational harmonic modelocking for repetition rate multiplication and pulse to pulse amplitude equalization, b) frequency skewed pulse generation for ranging and c) intracavity active phase modulation in amplitude modulated modelocked lasers for supermode noise spur suppression and integrated jitter reduction. The thesis concludes with comments on the future work and next steps to improve some of the results presented in this work.
Ph.D.
Optics and Photonics
Optics and Photonics
Optics PhD
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Johnson, Douglas M. "The Nature and Origin of Pebble Dikes and Associated Alteration: Tintic Mining District (Ag-Pb-Zn), Utah." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/5493.

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In many ore deposits throughout the world, brecciation often accompanies or occurs in association with mineralization (Sillitoe, 1985). Such is the case in the Tintic Mining District (Ag-Pb-Zn) of north-central Utah, where unique breccia features called pebble dikes occur alongside significant mineralization. Pebble dikes are tabular bodies of breccia, which consist of angular to rounded clasts of quartzite, shale, carbonate, and minor igneous rock cemented in a fine-grained clastic matrix. All clasts now lie above or adjacent to corresponding source rocks. Dikes are thin, typically less than 0.3 m wide to as much as 1 m, and can exceed 100 m in length. The average of the largest clast sizes is less than 3 cm but correlates positively with pebble dike width. Contacts are sharp and an envelope of fine breccia surrounds roughly half of the dikes. Pebble dikes are mostly hosted in an Eocene rhyolite lava flow, which displays argillic to silicic alteration when in contact with a pebble dike, but are also hosted in an assortment of folded Paleozoic sedimentary rocks. The dikes show a strong northeast trend in orientation, following a regional fabric of northeast-trending strike-slip and oblique-slip faults.The formation of pebble dikes has been historically attributed to the intrusion of the Silver City Stock, the Tintic District's main productive intrusion (Morris and Lovering, 1979; Hildreth and Hannah, 1996; Kim, 1997; Krahulec and Briggs, 2006). However, pebble dikes are spatially associated with a previously unrecognized porphyritic unit, informally named the porphyry of North Lily, which is texturally, mineralogically, and chemically distinct from the Silver City Stock, and like pebble dikes, is emplaced in northeast-trending plugs and dikes. Pebble dikes show a strong spatial correlation to outcrops of the porphyry of North Lily. Additionally, clasts of the porphyry of North Lily have been found in pebble dikes, while pebble dike quartzite clasts have been found as xenoliths in the porphyry of North Lily. These similarities and interactions suggest simultaneous formation. Low-grade alteration associated with pebble dikes indicates that they formed at elevated temperatures (<150°C). Stable isotope characteristics of rhyolite altered during the emplacement of pebble dikes suggests that the dikes formed in the presence of heated groundwater, with little to no magmatic water association. The overall physical, spatial, and chemical characteristics of pebble dikes of the Tintic Mining District suggest that they formed by the mobilization of breccia in the explosive escape of groundwater that had been heated by the porphyry of North Lily. This escape occurred along pre-existing northeast-trending faults and fractures. Pebble dikes then became pathways for later ore fluids, easing the creation of the district's abundant mineral resources.
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Araújo, Valeska Peres de, and Instituto de Engenharia Nuclear. "Dinâmica das águas subterrâneas e mecanismos de recarga em uma área de mineração de urânio empregando técnicas isotópicas." Instituto de Engenharia Nuclear, 2017. http://carpedien.ien.gov.br:8080/handle/ien/1975.

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Submitted by Marcele Costal de Castro (costalcastro@gmail.com) on 2017-11-06T16:09:39Z No. of bitstreams: 1 VALESKA PERES DE ARAUJO D.pdf: 19050366 bytes, checksum: a130a4b8dc02de3bc8bae53d77530112 (MD5)
Made available in DSpace on 2017-11-06T16:09:39Z (GMT). No. of bitstreams: 1 VALESKA PERES DE ARAUJO D.pdf: 19050366 bytes, checksum: a130a4b8dc02de3bc8bae53d77530112 (MD5) Previous issue date: 2017
Em regiões áridas e semiáridas, a água superficial não está disponível de forma perene, e as águas subterrâneas proporcionam, na maioria dos casos, a única fonte de água permanente e segura. Esta situação é particularmente verdadeira na Bacia Experimental Caetité (BEC), localizada na região semiárida do Nordeste do Brasil, onde a comunidade local é fortemente dependente da disponibilidade de águas subterrâneas. A questão da água se agravou em 1999, com o início das operações de uma instalação nuclear, a Unidade de Concentrado de Urânio (URA), e a comunidade local teve que enfrentar não apenas os desafios associados à escassez de água, mas também os potenciais processos de contaminação decorrentes da atividade de mineração. Este cenário provocou um debate crescente entre a comunidade local e o centro de produção de urânio. Embora vários estudos venham sendo conduzidos na região, o regime de fluxo de águas subterrâneas nesta bacia hidrográfica permanece mal compreendido. Este estudo tem como objetivo investigar a dinâmica das águas subterrâneas e mecanismos de recarga nesta bacia, como parte dos esforços iniciais para caracterizar a hidrogeologia desta área afim de subsidiar futuros estudos de contaminação. Medidas de δ2H, δ 18O, total de sólidos dissolvidos (TSD), pH e condutividade elétrica (EC) foram realizadas em um total de 181 amostras (122 águas subterrâneas, 36 águas superficiais e 23 amostras de precipitação) coletadas durante as estações secas e chuvosas de 2012 a 2014. Os resultados químicos, físico-químicos e isotópicos sugerem que a recarga é espacialmente variável, correndo por mecanismo direto e indireto, por precipitação local e contribuição da água superficial, respectivamente. Estes resultados apontam para uma dinâmica rápida deste sistema, tornando-o mais vulnerável à contaminação por atividades na superfície do terreno, uma vez que os contaminantes podem rapidamente atingir o aquífero.
In arid and semi-arid regions, where surface water is not available on fixed basis, groundwater provides in most cases the only permanent and safe source of water. This situation is particularly true in the Caetité Experimental Basin (CEB), located in the semi-arid region of Northeastern Brazil, where the local community depends heavily on groundwater availability. The water issue has been aggravated since 1999 when a nuclear facility, the Uranium Concentrate Unit (URA), started operations and the local community had to face not only the challenges associated with water scarcity but also the potential contamination processes due to mining activity. This scenario caused an increasing debate over competing water interests between the local community and the uranium production center. Although several studies have been conducted to characterize the hydrological system of the region, the groundwater flow regime in this watershed remains poorly understood. This study aims to investigate the groundwater dynamics and recharge mechanisms in this basin, as part of initial efforts to characterize the hydrogeology of this area for future contamination studies. Measurements of δ2H, δ18O, total dissolved solids (TDS), pH, and electrical conductivity (EC) were carried out in a total of 181 samples (122 groundwater, 36 surface water and 23 rainfall samples), collected during the dry and wet seasons from 2012 to 2014. The chemical, physicochemical and Isotope results suggest that the recharge is spatially variable, occurring by direct and indirect mechanism, by local precipitation and surface water contribution, respectively. These results point to a fast dynamic of this system, which makes this aquifer more vulnerable to contamination from activities in the land surface, as the contaminants could move and quickly reach the aquifer.
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Hallberg, Carl-Bernhard, and Gustaf Sjölinder. "Reducing volatility for a linear and stable growth in a cryptocurrency : Encourage spending, while providing a stable store of value over time in a decentralized network." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296645.

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The Internet provided humans a new way to exchange information digitally and has changed how we communicate. Blockchain and cryptocurrencies have given humans a new way to exchange value over the internet. With new technology, new possibilities arise, but not always without issues. One problem that has risen with cryptocurrencies is their high volatility, meaning that the currency has big price swings. It has made these currencies objects for speculation and investment almost exclusively, and therefore they have lost their functionality as a currency. For a currency to be viewed as a good means of payment, it cannot be associated with high volatility. This is not only restricted to cryptocurrencies, as for example the Venezuelan Bolivar is a fiat currency with historically high volatility and has been losing its purchasing power due to hyperinflation in the recent years. In regard to this we propose a new cryptocurrency; the Dynamic Network Token, which aims to reduce the volatility in a cryptocurrency by regulating the supply dynamically with burning and minting. The implementation of this functionality will strive to remove the high volatility in the token for the benefits of a more stable and linear growth, and at the same time encourage users to transact with the Dynamic Network Token between each other.
Internet gav människor möjlighet att utbyta information digitalt och har förändrat hur vi kommunicerar. Blockkedjeteknik och kryptovalutor har gett människan ett nytt sätt att utbyta värde på internet. Med ny teknologi kommer möjligheter, men kan även medföra problem. Ett problem som uppstått med kryptovalutor är deras volatilitet, vilket betyder att valutan upplever stora prissvängningar. Detta har gjort dessa valutor till objekt för spekulation och investering, och därmed gått ifrån sin funktion som valuta. För att en valuta ska anses som ett bra betalmedel, bör den inte ha hög volatilitet. Detta är inte bara begränsat till kryptovalutor, då till exempel Venezuelas nationella valuta Bolivar är en fiatvaluta med historiskt hög volatilitet som förlorat sin köpkraft på grund av hyperinflation under de senaste åren. Med detta i åtanke föreslår vi en ny kryptovaluta; Dynamic Network Token, vars uppgift är att reducera volatiliteten i en kryptovaluta genom att reglera utbudet dynamiskt med hjälp av burning och minting. Denna implementeringsuppgift är att minska hög volatilitet till fördel för en mer stabil och linjär tillväxt och samtidigt uppmana användare att använda Dynamic Network Token mellan varandra i nätverket.
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Roopnarain, Sherissa. "Petrogenesis of Carbonatites in the Alnö Complex, Central Sweden." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-215436.

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The Alnö Complex is a Late Precambrian alkaline and carbonatite intrusion (c. 30km2) into Early Proterozoic country rock that extends from the north east, to the north western shoulder of Alnö Island. Carbonatites are rare among volcanic provinces, with Oldoinyo Lengai of northern Tanzania being the only active carbonatite volcano in the world today. The high carbonate mineral volumes and rare earth element (REE) concentrations of carbonatites, in combination with the intrusive-extrusive nature of their suites contribute to the rarity of these rocks. Carbonatites, through their peculiar petrological and geochemical compositions, provide vital insights to the composition and condition of the Earth’s mantle. The genesis of the Alnö carbonatites and their relation to other lithological units at the complex is however, only partially understood. This stems from the epistemological division of carbonatites as having either a ‘magmatic’ or ‘reactive’ origin. This study focuses on sampled carbonatites from the Alnö Complex, employing an oxygen and carbon isotope approach on their native calcite, complemented with petrological and mineralogical methods in order to constrain petrogenesis. As a reference, oxygen and carbon isotope data of calcite from an earlier Alnö investigation as well as from an array of data from comparative alkaline complexes elsewhere are also discussed. The combined data and the derived findings support a scenario that is consistent with the ‘magmatic’ model wherein carbonatites have a primary mantle-derived origin, and prospectively stem from a parent magma akin to that of Oldoinyo Lengai, but have experienced a degree of silicate and sedimentary assimilation. The extraction of the Alnö carbonatites for their rare earth metals is a looming possibility due to the current volatility in the rare earth market. The risks and opportunities involved in this kind of natural resource extraction provide a context wherein sustainable development paradigms can be applied. The capacity of the Alnö environment to withstand the impact of development in the mining sector is discussed through a perspective of establishing a quarry, and quarry-related methods for rare earth extraction.
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Books on the topic "Stance mining"

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Pennypacker, Sara. The Mount Rushmore Calamity. New York, NY: HarperCollins, 2009.

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Pennypacker, Sara. The Mount Rushmore Calamity. New York: HarperCollins, 2009.

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Friedman, Martin L. Hockney paints the stage: Hayward Gallery, London, 1 August to 29 September 1985. London: Arts Council of Great Britain, 1985.

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Friedman, Martin L. Hockney paints the stage: Hayward Gallery, London, 1 August to 29 September 1985. London: Arts Council of Great Britain, 1985.

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Bellville, Cheryl Walsh. Theater magic: Behind the scenes at a children's theater. Minneapolis: Carolrhoda Books, 1986.

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Bellville, Cheryl Walsh. Theater magic: Behind the scenes at a children's theater. Minneapolis: Carolrhoda Books, 1986.

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Johns, Fleur. Data Mining as Global Governance. Edited by Roger Brownsword, Eloise Scotford, and Karen Yeung. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199680832.013.56.

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Data mining technologies are increasingly prominent in development and aid initiatives in which context they may be understood to be doing work of global governance. This chapter explains how data mining may be so characterized and explores how this work may be compared to more conventional governance techniques and institutions. The chapter first provides an overview of some exemplary initiatives among international institutions in which data mining plays a crucial role. It then presents a playful, mundane analogy for a governance challenge—the sorting of a sock drawer—and compares a familiar law and policy approach and a data mining approach to this challenge. Lastly, it highlights what may be at stake in the practice of data mining on the global plane and associated shifts in regulatory technique, arguing for this practice to be regarded as a matter of broad-ranging public concern.
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du Plessis, Stan. The Miracle of the Septuagint and the Promise of Data Mining in Economics. Edited by Don Ross and Harold Kincaid. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780195189254.003.0016.

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Data mining could compromise the believability of econometric models. And yet there might not be an alternative to data mining if economics is going to be an empirical science practiced with the joint constraints of incomplete economic theory and non-experimental data. The organizing principle for this discussion of data mining is a philosophical spectrum that sorts the various econometric traditions according to their epistemological assumptions about the underlying data-generating process (DGP), starting with instrumentalism at one end and reaching claims of encompassing the DGP at the other; call it the DGP-spectrum. In the course of exploring this spectrum, this article discusses various Bayesian, specific to general (S–G) as well as general to specific (G–S) methods. A description of data mining and its potential dangers and a short section on potential institutional safeguards to these problems set the stage for this exploration.
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O'Brien, William. Prehistoric Copper Mining in Europe. Oxford University Press, 2014. http://dx.doi.org/10.1093/oso/9780199605651.001.0001.

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This volume examines prehistoric copper mining in Europe, from the first use of the metal eight thousand years ago in the Balkans to its widespread adoption during the Bronze Age. The history of research is examined, as is the survival of this mining archaeology in different geological settings. There is information on the technological processes of mineral prospecting, ore extraction, and metal production, as well as the logistics and organization of this activity and its environmental impact. The analysis is broadened to consider the economic and societal context of prehistoric copper mining and the nature of the distinctive communities involved. The study is based on a review of field data and research produced over many decades by the collaboration of archaeologists and geologists in a number of different countries, and covers such famous mining centres as the Mitterberg in Austria, Kargaly in Russia, the Great Orme in Wales, and those in Cyprus, from where the name of this metal derives. These regional studies are brought together for the first time to present a remarkable story of human endeavour and innovation, which marks a new stage in the mastery of our natural resources.
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Bebbington, Anthony, Abdul-Gafaru Abdulai, Denise Humphreys Bebbington, Marja Hinfelaar, Cynthia A. Sanborn, Jessica Achberger, Celina Grisi Huber, Verónica Hurtado, Tania Ramírez, and Scott D. Odell. Mining, Political Settlements, and Inclusive Development in Peru. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198820932.003.0002.

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This chapter examines how political factors have influenced mineral extraction, governance, and development in Peru since the late nineteenth century. It argues that the legacies of the past have weighed heavily in contemporary governance, but also points to periods in which shifting political alliances and agency aimed to alter past legacies and introduce positive institutional change. The chapter identifies three periods with distinct and relatively stable arrangements for the distribution of power. For the most recent, post-2000 period, it discusses how government responses to social conflict included the creation of institutions to redistribute mining rents, regulate environmental impacts, and promote indigenous participation. However, it argues that political instability and fragmentation have inhibited the effectiveness of these institutions and of longer-term policymaking in general, which in turn explains Peru’s persistent reliance on natural resource extraction and the challenges to more inclusive and sustainable development.
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Book chapters on the topic "Stance mining"

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Siddiqua, Umme Aymun, Abu Nowshed Chy, and Masaki Aono. "Stance Detection on Microblog Focusing on Syntactic Tree Representation." In Data Mining and Big Data, 478–90. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93803-5_45.

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Chen, Wei-Fan, Yann-Hui Lee, and Lun-Wei Ku. "Topic-Based Stance Mining for Social Media Texts." In Lecture Notes in Computer Science, 22–33. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20895-4_3.

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Colantonio, Alessandro, Roberto Di Pietro, Alberto Ocello, and Nino Vincenzo Verde. "Mining Stable Roles in RBAC." In Emerging Challenges for Security, Privacy and Trust, 259–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01244-0_23.

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Nguyen, Thanh Dai, Sunil Gupta, Santu Rana, and Svetha Venkatesh. "Stable Bayesian Optimization." In Advances in Knowledge Discovery and Data Mining, 578–91. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57529-2_45.

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Moussard, Hélène, Thomas J. Smith, and J. Colin Murrell. "DNA stable Isotope Probing and Gene Mining." In Stable Isotope Probing and Related Technologies, 259–76. Washington, DC: ASM Press, 2014. http://dx.doi.org/10.1128/9781555816896.ch12.

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Zhou, Da-Wei, Yang Yang, and De-Chuan Zhan. "Detecting Sequentially Novel Classes with Stable Generalization Ability." In Advances in Knowledge Discovery and Data Mining, 371–82. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75762-5_30.

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Awaji, Takehisa, and Shun’ichi Teranishi. "Mining and Its Environmental Damage." In The State of the Environment in Asia, 25–45. Tokyo: Springer Japan, 2003. http://dx.doi.org/10.1007/978-4-431-67945-5_2.

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Ben Brahim, Afef, and Mohamed Limam. "A Stable Instance Based Filter for Feature Selection in Small Sample Size Data Sets." In Advanced Data Mining and Applications, 334–44. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14717-8_26.

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P, Mohana Chelvan, and Perumal K. "Stable Feature Selection with Privacy Preserving Data Mining Algorithm." In Communications in Computer and Information Science, 227–37. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5780-9_21.

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Pérez, Jesús M., Javier Muguerza, Olatz Arbelaitz, Ibai Gurrutxaga, and José I. Martín. "Consolidated Trees: Classifiers with Stable Explanation. A Model to Achieve the Desired Stability in Explanation." In Pattern Recognition and Data Mining, 99–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11551188_11.

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Conference papers on the topic "Stance mining"

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Sobhani, Parinaz, Diana Inkpen, and Stan Matwin. "From Argumentation Mining to Stance Classification." In Proceedings of the 2nd Workshop on Argumentation Mining. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/w15-0509.

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Sun, Yizhou. "User Stance Prediction via Online Behavior Mining." In the 26th International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3041021.3051144.

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Mandya, Angrosh, Advaith Siddharthan, and Adam Wyner. "Scrutable Feature Sets for Stance Classification." In Proceedings of the Third Workshop on Argument Mining (ArgMining2016). Stroudsburg, PA, USA: Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/w16-2807.

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Toledo-Ronen, Orith, Roy Bar-Haim, and Noam Slonim. "Expert Stance Graphs for Computational Argumentation." In Proceedings of the Third Workshop on Argument Mining (ArgMining2016). Stroudsburg, PA, USA: Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/w16-2814.

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Küçük, Dilek, and Fazli Can. "A Tutorial on Stance Detection." In WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3488560.3501391.

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Boltužić, Filip, and Jan Šnajder. "Back up your Stance: Recognizing Arguments in Online Discussions." In Proceedings of the First Workshop on Argumentation Mining. Stroudsburg, PA, USA: Association for Computational Linguistics, 2014. http://dx.doi.org/10.3115/v1/w14-2107.

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Kiesel, Johannes, Nico Reichenbach, Benno Stein, and Martin Potthast. "Image Retrieval for Arguments Using Stance-Aware Query Expansion." In Proceedings of the 8th Workshop on Argument Mining. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.argmining-1.4.

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Lingyu, Zeng, Song Chenguang, Wu Bin, and Wang Bai. "SMAM: Detecting Rumors from Microblogs with Stance Mining Assisting Task." In 2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC). IEEE, 2019. http://dx.doi.org/10.1109/dsc.2019.00044.

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Darwish, Kareem, Walid Magdy, and Tahar Zanouda. "Improved Stance Prediction in a User Similarity Feature Space." In ASONAM '17: Advances in Social Networks Analysis and Mining 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3110025.3110112.

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Kotonya, Neema, and Francesca Toni. "Gradual Argumentation Evaluation for Stance Aggregation in Automated Fake News Detection." In Proceedings of the 6th Workshop on Argument Mining. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/w19-4518.

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Reports on the topic "Stance mining"

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Бакум, З. П., О. М. Горошкіна, and С. М. Хоцкіна. A System to Diagnose the Level of Future Mining Engineer Communicative Competence Development. Криворізький державний педагогічний університет, 2015. http://dx.doi.org/10.31812/0564/417.

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On the basis of the proposed diagnosing techniques the authors studied the state and determined the levels of future mining engineer communicative competence development at the initial stage of scientific prospecting.
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Савосько, Василь Миколайович, Наталія Вікторівна Товстоляк, Юрій Васильович Лихолат, and Іван Панасович Григорюк. Structure and Diversity of Urban Park Stands at Kryvyi Rih Ore-Mining & Metallurgical District, Central Ukraine. Podgorica, 2020. http://dx.doi.org/10.31812/123456789/3946.

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The present study examines the relationships between structure (floristic composition, dendrometric parameters), diversity (diversity and evenness indexes) of urban forest park stands and the ecological (soil fertility, soil moisture), environmental factors (air pollution). The study is based on the forest park stands inventory data, performed from 2012 to 2017 in Kryvyi Rih City, Central Ukraine. The floristic compositions of the urban forest park stands are poor. There are only 23 species that belong to 14 families and 12 genera. More families were represented by at least more than 2% of taxon diversity. While Ulmaceae (2 genera, 4 species–17,39 %), Fabaceae (3 genera, 2 species–17,39 %), Aсеrасеае (1 genera, 4 species–17,39 %) were the most representative families. It was established that at forest park the values of stand density varied from 490 to 660 trees*ha-1, stem heights were from 26 to 31 m, stem diameters were from 13 to 17 cm, stand basal area were from 32 to 49 m2*ha-1, stand volume were from 200 to 415 m3*ha-1. the values of relative stem heights were from 0,63 to 0,82 m*year-1, relative stem diameters were from 0,31 to 0,43 cm*year-1, relative stand basal area were from 0,80 to 1,19 m2*ha-1*year-1, relative stand volume were from 5,45 to 10,28 m3*ha-1*year-1. The varied values of the forest park stands index (Shannon-Wiener diversity index from 0,75 to 1,61, Pielou‟s evenness index from 0,53 to 0,86, Simpson‟s diversity from 0,24 to 0,60, Margalef‟s diversity index from 0,87 to 6,97) indicate the ecological instability of these woody plant communities. Current state of the urban forest park stands determined by the combined influence of ecological (soil fertility, soil moisture) and environmental factors (air pollution).
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Morkun, Volodymyr S., Сергій Олексійович Семеріков, Svitlana M. Hryshchenko, and Kateryna I. Slovak. System of competencies for mining engineers. Видавництво “CSITA”, 2016. http://dx.doi.org/10.31812/0564/719.

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Topicality of the material, highlighted in this article is stipulated by the need to ensure effectiveness of educational process while preparing mining engineers. System of competencies for future mining engineers, taken as basis for high school sectoral standard for Mining 6.050301 update is theoretically substantiated and developed. Sources of state-of-the-art foreign educational system and technologies as well as scientific research results of local teachers have been analyzed, enabling development of new sectoral standard. Switching to new high school competencies-based sectoral standards is the necessary step in high education reforming in Ukraine, while the application of competencies-based approach to high school sectoral standards development facilitates tuning of education towards labour market’s requirements and demands, further development of educational techniques and educational system as a whole. Objective of the article: to project system of competencies and to define components of environmental competencies for mining engineers. Methods: – theoretical: analysis, generalization, systematization of legislative framework, educational standards, Internet - sources in order to distinguish theoretical basis of research, develop system of competencies for future mining engineers. – Empirical – improvement of system of competencies for future mining engineers. Scientific novelty is represented with structured system, consisting of 49 competencies, comprising the core of new sectoral standard for mining engineers preparation; Practical importance of the outcomes is related to developments: separate constituents of high school draft sectoral standard for Mining engineers bachelors’ preparation 6.050301 Mining (system of social & personal, general scientific, tool-based, general professional and special professional competencies. Research outcomes can be used while developing educational qualification profile and training program for Mining bachelors 6.050301 education field, in course of geoinformational technologies review by ecology, land survey and geography bachelors.
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Vladut, T. I. State-of-the-art of microseismic application for mining. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/304870.

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Douglass, Rex, and Candace Rondeaux. MINING THE GAPS: A Text Mining-Based Meta-Analysis of the Current State of Research on Violent Extremism. RESOLVE Network, February 2017. http://dx.doi.org/10.37805/rwps2017.1.

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Kenney, Margaret. Reproduction of 'Concession Stands: How Mining Investments Incite Protest in Africa'. Social Science Reproduction Platform, May 2022. http://dx.doi.org/10.48152/ssrp-y56h-a969.

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McCarty, Tanner J., Zuyi Wang Wang, Man-Keun Kim, and James Evans. The Economic Contribution of Utah’s Energy and Mining Industries. Utah Geological Survey, November 2022. http://dx.doi.org/10.34191/mp-176.

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Utah’s abundant energy and mineral resources are used to heat homes, drive industry, and keep the lights on. Effectively managing these energy and mineral resources and their associated supply chains requires knowledge of their economic value and how they currently contribute to Utah’s economy. This report calculates the total economic contribution of Utah’s energy and mining industries for 2019 and 2020. Each industry makes substantial contributions to Utah’s gross domestic product, employment, and tax base. Collectively, these industries contributed over 10% to Utah's total Gross Domestic Product (GDP), supported over 7% of its jobs, and contributed 20% to state tax revenue. Not only do these industries produce sizable economic value, they also create high-paying jobs. Average wages for the energy and mining industries were calculated to be $22,415 (45%) and $13,652 (28%) above the overall state average wage, respectively.
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Mills, Stephanie E., and Bear Jordan. Uranium and Vanadium Resources of Utah: An Update in the Era of Critical Minerals and Carbon Neutrality. Utah Geological Survey, September 2021. http://dx.doi.org/10.34191/ofr-735.

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Utah is the second largest vanadium producing state and the third largest uranium producing state in the United States. Carnotite, a primary ore mineral for both vanadium and uranium, was first discovered and used by Native Americans as a source of pigment in the Colorado Plateau hysiographic province of eastern Utah. Radioactive deposits have been ommercially mined in Utah since about 1900, starting with radium, followed by vanadium, and thenuranium. In 1952, the discovery of the Mi Vida mine in Utah’s Lisbon Valley mining district in San Juan County kicked off a uranium exploration rush across the Colorado Plateau. As a result, the United States dominated the global uranium market from the early 1950s to late 1970s. In the modern mining era, Utah is an important contributor to the domestic uranium and vanadium markets with the only operating conventional uranium-vanadium mill in the country, multiple uranium-vanadium mines on standby, and active uranium-vanadium exploration. Overall, Utah has produced an estimated 122 million lbs U3O8 and 136 million lbs V2O5 since 1904. Most of this production has been from the sandstone-hosted deposits of the Paradox Basin, with minor production from volcanogenic deposits and as byproducts from other operations across the state
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Hearn, Greg, Marion McCutcheon, Mark Ryan, and Stuart Cunningham. Australian Cultural and Creative Activity: A Population and Hotspot Analysis: Geraldton. Queensland University of Technology, August 2020. http://dx.doi.org/10.5204/rep.eprints.203692.

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Grassroots arts connected to economy through start-up culture Geraldton is a regional centre in Western Australia, with 39,000 people and a stable, diverse economy that includes a working port, mining services, agriculture, and the rock-lobster fishing industry (see Appendix). Tourism, though small, is growing rapidly. The arts and culture ecosystem of Geraldton is notable for three characteristics: - a strong publicly-funded arts and cultural strategy, with clear rationales that integrate social, cultural, and economic objectives - a longstanding, extensive ecosystem of pro-am and volunteer arts and cultural workers - strong local understanding of arts entrepreneurship, innovative business models for artists, and integrated connection with other small businesses and incubators
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Beverinotti, Javier, Gustavo Canavire-Bacarreza, and Alejandro Puerta. Understanding the Growth of the Middle Class in Bolivia. Inter-American Development Bank, July 2021. http://dx.doi.org/10.18235/0003407.

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In this paper we aim to disentangle how sectoral economic growth affects the growth of the middle class size using state-level data of Bolivia from 2000 to 2017, a country with limited data, breaking the three main economic activities into subsectors aiming for more specific results. By means of a Bayesian hierarchical longitudinal model for small samples, we find that the commerce and services sectors have the biggest impact, even though mining and agriculture also have a positive effect on the increase of the middle class in Bolivia. Our results also suggest that both formality and public social investment have a significant, yet smaller, effect.
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