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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Sommer, G. "A contemplative stance on the automation of the mining, mineral, and metal processing industry (MMM) an IFAC report." Automatica 28, no. 6 (November 1992): 1273–78. http://dx.doi.org/10.1016/0005-1098(92)90073-o.
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Billings, Dwight B., and Will Samson. "Evangelical Christians and the Environment: “Christians for the Mountains” and the Appalachian Movement against Mountaintop Removal Coal Mining." Worldviews 16, no. 1 (2012): 1–29. http://dx.doi.org/10.1163/156853511x617786.
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Prior research has described evangelical Protestants as hostile toward environmentalism, but this traditional stance, however deeply rooted, is being challenged from within by the Creation Care movement. We analyze an important current example of evangelical environmentalism, an organization known as “Christians for the Mountains” (CFTM) that opposes the highly destructive practice of mountaintop removal coal mining (MTR) in Appalachia. We focus on Christians for the Mountains in relation to larger national movements such as the Evangelical Climate Initiative (ECI). We use attitude interviews, participant observation, discourse analysis, and Jurgen Habermas's theory of communicative action to examine how both movements are attempting to overcome the opposition toward environmentalism within evangelical Christianity.
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Maksimenko, Olga, Tatiana Semina, Alexander Khmelev, and Natalia Dmitrieva. "Mutual sentiment." E3S Web of Conferences 210 (2020): 15006. http://dx.doi.org/10.1051/e3sconf/202021015006.
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Sentiment analysis is a modern task in natural language processing and linguistics. Also referred to as opinion mining, it deals with different kinds of affective states: opinion, emotions, stance and evaluations. Sentiment itself is the polarity of these affective states. Taking analytical articles as source material for the study, several problems should be considered. Firstly, these texts broaden the understanding of the subject of opinion, because it does not coincide with the author of the text in the majority of cases. Secondly, subjects and objects of opinion are entities – words or word combinations with strictly denoted referent. In the paper only Named Entities, that are normally expressed by proper nouns, are considered. This kind of sentiment analysis requires deeper research of possible sentiment relations between entities and of lexical and grammatical influence on these relations. The paper is devoted to the study of the influence of the group of lexemes on opinion structure. The research shows that mutual sentiment can be presented as stable patterns.
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Fenech, Marianne, Linda J. Harrison, Fran Press, and Jennifer Sumsion. "Using metaphor to illuminate quality in early childhood education." Australasian Journal of Early Childhood 45, no. 2 (April 21, 2020): 197–210. http://dx.doi.org/10.1177/1836939120918482.
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This paper reports on a study in which educators from four early childhood centres used metaphor to discuss their provision of high-quality early childhood education. Qualitative mining of focus group data confirmed ‘quality’ to be complex, multi-dimensional and value-laden. Findings contribute to understandings of quality in early childhood education through four key themes: ‘quality’ as a synergetic flow; the facilitative stance and impact of leaders in the enactment of leadership; children as active contributors to quality; and the role of love. Metaphor is shown to be a valuable tool that can highlight tangible and intangible quality contributors, how these contributors link together and the contextual specificity from which quality in individual early childhood education settings emanates.
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Janíková, Pavlína, Jaromír Starý, Radúz Klika, Pavel Kavina, Jakub Jirásek, and Martin Sivek. "Gold deposits of the Czech Republic from a mineral policy perspective." Gospodarka Surowcami Mineralnymi 31, no. 4 (December 1, 2015): 35–50. http://dx.doi.org/10.1515/gospo-2015-0041.
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Abstract Gold production in the region that currently makes up the Czech Republic has a thousand-year-old tradition with peaks around the third century BC, 14th century AD and 20th century AD. In general, approximately 100 metric tonnes were produced by the end of mining in 1994, of which nearly 9 tonnes were produced in the 20th century and approximately 3 tonnes were produced after World War II. Significant gold deposits were discovered during the last extensive exploration conducted in the 1970s to 1995, motivated by the sharp rise in the price of gold at the beginning of the 1970s and in the 1980s. Fifteen deposits with 239 tonnes of geological resources of gold were registered. Another 112 tonnes are recorded as prognosticated resources. None of these deposits are mined, due to unresolved issues involving environmental protection. The exploitation of these deposits is restricted primarily due to concerns regarding the environmental impacts of the mining and processing of extracted minerals. A key aspect of these restrictions is likely the existing ban on the use of cyanide mining technologies. A new and yet-to-be-approved proposal for an updated mineral policy in the Czech Republic is attempting to gradually change this stance. Yet another problem lies in the unfinished surveys of mineral deposits, which would specify the total amount of gold and upgrade the resources to higher categories concerning the level of exploration. Without these, it is impossible to prepare the necessary economic assessments of potential production and of the deposits to the fullest extent of activities involving exploration, mineral extraction and processing, including subsequent reclamation of affected areas, elimination of mining impacts and regeneration of post-mining landscapes. The future of gold deposits in the Czech Republic also greatly depends on future trends in the price of gold and accompanying (by-product) minerals occurring together with gold in mined ores.
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Borodina, Elena Vasil'evna. "Convicts and exiled in Yekaterinburg in 1723 – late 1730s: to the question on formation of social space of the city." Genesis: исторические исследования, no. 11 (November 2020): 14–26. http://dx.doi.org/10.25136/2409-868x.2020.11.34382.
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This article is dedicated to the history of the Institution of penal servitude and exile in Ural Region in the 1720s – 1730s. The subject of this research is the convicts and exiled who arrived to Yekaterinburg during the period from 1723 to the late 1730s. Analysis is conducted on the legislation dedicated to regulation of penal labor and exile in Russia. Differences in the government policy with regards to exiled in the XVII and XVIII centuries are revealed. The author also examines the reasons of the emergence of exiled and convicts in Ural Region, dynamics of their arrival from Tobolsk and the capital regions, as well as the stance of the mining and metallurgical authorities on this social category. Historians alongside legal historians turned attention to studying penal labor and exile in Siberia, practically not comparing the situation of exiled and convicts in other Russian regions. The novelty of this work consists in studying life of the representatives of this social group in the Ural Region in the early XVIII century, which was noted for transit location, connecting European and Asian parts of the country, and was the center of mining and metallurgical industry. Leaning on the analysis of documental sources and records, the author concludes that convicts and exiled played a role in the formation of social space of Yekaterinburg. They were well integrated into the social relations: they were allowed to own homesteads and marry, but were under permanent control of the mining and metallurgical administration.
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Bergquist, Ann-Kristin, and Magnus Lindmark. "Sustainability and Shared Value in the Interwar Swedish Copper Industry." Business History Review 90, no. 2 (2016): 197–225. http://dx.doi.org/10.1017/s0007680516000374.
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This study of the Swedish-based mining company Boliden examines the proactive strategies it adopted to deal with the potential for severe environmental problems associated with the establishment of its large copper smelter in the 1920s. The article demonstrates how international networks, personal experience, and knowledge transfer from the U.S. copper industry help to explain the importance given to environmental issues by the Swedish industrialists. It is suggested that the main explanation for the proactive stance of the Swedish managers is that they perceived excessive pollution as working against creating a profitable and sustainable business. This case provides compelling evidence that firms pursuing an agenda focused on earning profits can still deliver environmental innovation and value to the local community, compatible with the concept of creating shared value.
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Savini, Edoardo, and Cornelia Caragea. "Intermediate-Task Transfer Learning with BERT for Sarcasm Detection." Mathematics 10, no. 5 (March 7, 2022): 844. http://dx.doi.org/10.3390/math10050844.
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Sarcasm detection plays an important role in natural language processing as it can impact the performance of many applications, including sentiment analysis, opinion mining, and stance detection. Despite substantial progress on sarcasm detection, the research results are scattered across datasets and studies. In this paper, we survey the current state-of-the-art and present strong baselines for sarcasm detection based on BERT pre-trained language models. We further improve our BERT models by fine-tuning them on related intermediate tasks before fine-tuning them on our target task. Specifically, relying on the correlation between sarcasm and (implied negative) sentiment and emotions, we explore a transfer learning framework that uses sentiment classification and emotion detection as individual intermediate tasks to infuse knowledge into the target task of sarcasm detection. Experimental results on three datasets that have different characteristics show that the BERT-based models outperform many previous models.
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Quimbaya, Alexandra Pomares, Rafael A. González, Wilson Ricardo Bohórquez, Oscar Muñoz, Olga Milena García, and Dario Londoño. "A Systemic, Participative Design of Decision Support Services for Clinical Research." International Journal of Information Technologies and Systems Approach 7, no. 2 (July 2014): 20–40. http://dx.doi.org/10.4018/ijitsa.2014070102.
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Development of IT-based services to support decision-making in healthcare should be guided by the following considerations: rigor, relevance, user-centered participation and inclusion of the best practices for IT-based service systems. In this paper, the balance between rigor and relevance is achieved by following the design science research methodology; user-centered participation is tackled from the socio-technical tradition in information systems; best practices considered in the planning, design and implementation of the services are informed by the MOF framework. Moreover, and considering the premise that these pillars should holistically converge, this research has been approached from a systemic stance where iterative, participative, socio-technical activities have allowed the effective collaboration between information systems researchers, clinical researchers, medical staff and administrative hospital personnel. This paper argues for a move towards enhancing systemic, participative, design-centered service systems engineering by reporting a case which applies these concepts for providing decision-support services, enabled by data and text mining techniques, to contribute to clinical research and administration by being able to search electronic health records where narrative text hides meaningful information that would otherwise require a time-consuming human revision of these records.
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Luo, Chen, Kaiyuan Ji, Yulong Tang, and Zhiyuan Du. "Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach." Journal of Medical Internet Research 23, no. 8 (August 27, 2021): e30715. http://dx.doi.org/10.2196/30715.
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Background COVID-19 is still rampant all over the world. Until now, the COVID-19 vaccine is the most promising measure to subdue contagion and achieve herd immunity. However, public vaccination intention is suboptimal. A clear division lies between medical professionals and laypeople. While most professionals eagerly promote the vaccination campaign, some laypeople exude suspicion, hesitancy, and even opposition toward COVID-19 vaccines. Objective This study aims to employ a text mining approach to examine expression differences and thematic disparities between the professionals and laypeople within the COVID-19 vaccine context. Methods We collected 3196 answers under 65 filtered questions concerning the COVID-19 vaccine from the China-based question and answer forum Zhihu. The questions were classified into 5 categories depending on their contents and description: adverse reactions, vaccination, vaccine effectiveness, social implications of vaccine, and vaccine development. Respondents were also manually coded into two groups: professional and laypeople. Automated text analysis was performed to calculate fundamental expression characteristics of the 2 groups, including answer length, attitude distribution, and high-frequency words. Furthermore, structural topic modeling (STM), as a cutting-edge branch in the topic modeling family, was used to extract topics under each question category, and thematic disparities were evaluated between the 2 groups. Results Laypeople are more prevailing in the COVID-19 vaccine–related discussion. Regarding differences in expression characteristics, the professionals posted longer answers and showed a conservative stance toward vaccine effectiveness than did laypeople. Laypeople mentioned countries more frequently, while professionals were inclined to raise medical jargon. STM discloses prominent topics under each question category. Statistical analysis revealed that laypeople preferred the “safety of Chinese-made vaccine” topic and other vaccine-related issues in other countries. However, the professionals paid more attention to medical principles and professional standards underlying the COVID-19 vaccine. With respect to topics associated with the social implications of vaccines, the 2 groups showed no significant difference. Conclusions Our findings indicate that laypeople and professionals share some common grounds but also hold divergent focuses toward the COVID-19 vaccine issue. These incongruities can be summarized as “qualitatively different” in perspective rather than “quantitatively different” in scientific knowledge. Among those questions closely associated with medical expertise, the “qualitatively different” characteristic is quite conspicuous. This study boosts the current understanding of how the public perceives the COVID-19 vaccine, in a more nuanced way. Web-based question and answer forums are a bonanza for examining perception discrepancies among various identities. STM further exhibits unique strengths over the traditional topic modeling method in statistically testing the topic preference of diverse groups. Public health practitioners should be keenly aware of the cognitive differences between professionals and laypeople, and pay special attention to the topics with significant inconsistency across groups to build consensus and promote vaccination effectively.
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Gordeeva, R. V., S. N. Filimonov, O. V. Kuzmenko, L. N. Kireeva, E. A. Martynova, and T. I. Anishchenkova. "Radonotherapy in restoring statokinetic functions in the patients with occupational joint damage." Russian Journal of Occupational Health and Industrial Ecology, no. 3 (March 28, 2020): 200–205. http://dx.doi.org/10.31089/1026-9428-2020-60-3-200-205.
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The results of the use of natural radon water in the form of general baths in patients working in the coal mining and metallurgical industry, with occupational diseases of the joints and spine, at the stage of rehabilitation are presented. Studies have shown that the course application of radon therapy has a pronounced analgesic and anti-inflammatory effect, a general sedative effect helps to restore the volume of movements in the affected joints, normalizes the statokinetic functions of the musculoskeletal system, slows down the progression of the joint process and the development of dystrophic changes in the musculoskeletal system.Indicators of statodynamic functions of the musculoskeletal system in patients with occupational diseases of the joints and spine in the rehabilitation system against the background of course use of natural radon waters in the form of shared baths were studied. The aim of the study is to explore the effect of radon waters of natural origin on the dynamics of statodynamic parameters according to the data of a stabilometric study in patients working in the coal mining and metallurgical industry, with occupational diseases of the joints and spine.Patients with occupational diseases of the joints and spine in rehabilitation were prescribed general radon baths (the main group). The control group of patients received freshwater baths. Before and after treatment were carried out studies of the static-dynamic functions stabiiloplatform (soft ware-hardware complex for clinical motion analysis “Biomechanics” published by the scientific-medical firm MBN), with the help of which the indicator of the common center of mass, the flexor setting up of the thigh, the coefficient of weight load on the foot, the inter-limb asymmetry, the vertical stance was determined in the initial position and in the Romberg position.The use of common radon baths in the main group allowed to normalize the statokinetic functions of the musculoskeletal system in the form of reducing the period of alignment of the pelvic flexor installations and asymmetry of the distribution of weight load on the affected limb; increasing the level of adaptation of patients to functional loads against the background of reducing pain and inflammatory syndrome. There were no significant changes in these indicators in the control group. The use of general radon baths on the rehabilitation stage in patients working in the coal mining and metallurgical industry, with occupational diseases of the joints and spine, helps to restore the statodynamic functions of the musculoskeletal system, the disappearance of pain syndrome, and reduces inflammation.The authors declare no conflict of interests.
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Manakov, Yu A., A. N. Kupriyanov, and A. I. Kopytov. "ДОБЫЧА КАМЕННОГО УГЛЯ В КУЗБАССЕ В АСПЕКТЕ УСТОЙЧИВОГО РАЗВИТИЯ РЕГИОНА." Ugol', no. 09 (September 8, 2018): 89–94. http://dx.doi.org/10.18796/0041-5790-2018-9-89-94.
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Adesi, Michael, De-Graft Owusu-Manu, and Frank Boateng. "Segmentation of quantity surveying professional services for focus strategy and diversification." Journal of Financial Management of Property and Construction 24, no. 3 (November 4, 2019): 294–308. http://dx.doi.org/10.1108/jfmpc-09-2018-0052.
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Purpose Notwithstanding that numerous studies have focused on strategy in quantity surveying (QS) professional service firms, there is a paucity of investigation on the segmentation of QS professional services. The purpose of this study is to investigate the segmentation of QS services for diversification and a focus strategy formation. Design/methodology/approach This study adopts the positivist stance and quantitative approach in which a simple random sampling technique was used to select participants. In total, 110 survey questionnaires were administered to registered professional QS, out of which 79 completed questionnaires were returned for analysis. Findings The paper identifies three main QS service segments characterised by low, moderate and high competition. In addition, this study found that the concentration of traditional QS services in the building construction sector is due to the unwillingness of QS professional service firms to diversify into the non-construction sectors such as oil and gas. The diversification of QS services in the low competitive segment requires the adoption of agile approaches. Research limitations/implications The study was limited to numeric analyses and so would be complemented by qualitative research in the future. Practical implications This paper is useful to QS professional service firms interested in diversifying their services into the non-construction sectors to enhance the pricing of their services. Originality/value Segmentation of QS services is fundamental to the formulation of focus strategy for non-construction sectors such as oil and gas and mining to enhance the pricing of QS professional services.
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Greeff, W. J. "Organizational diversity: making the case for contextual interpretivism." Equality, Diversity and Inclusion: An International Journal 34, no. 6 (August 17, 2015): 496–509. http://dx.doi.org/10.1108/edi-02-2014-0010.
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Purpose – The purpose of this paper is to make a case for contextual interpretivism in managing diversity in organizational settings, specifically in its bearing on internal communication, going against the dominating functionalistic stance of venerated and ubiquitous approaches. Design/methodology/approach – Qualitative and quantitative methodologies were employed to explore the potential of contextual interpretivism within the mining and construction industries of South Africa, due to the fecund diversity context of its employee population. Findings – This paper points to the enriched understanding that could result from following a contextual interpretivistic approach to internal communication for diversity management, and in so doing discusses the ways in which this could take hold in organizations through the application of germane theoretical assertions of revered internal organizational communication literature, specifically the excellence theory and communication satisfaction. Research limitations/implications – The main limitation to this research is the restricted generalizability of its empirical research. Further research is required for the exploration of the central premise in other organizational contexts. Practical implications – The paper provides insights into the ways in which organizations could approach its diversity management so as to speak to more than just the functional aspects thereof, and rather to the importance of nurturing an understanding of employees’ interpretation of the organization’s diversity endeavors. Originality/value – The implications of applying a new approach to diversity management in organizational settings is discussed and argued, offering an empirical application thereof, which gives way to practical, data-driven recommendations for use in organizational settings.
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NAMAL, Yücel. "CRITICAL DISCOURSE ANALYSIS: AN EVALUATION OF THE MOVIE YAŞAM KAVGASI (1978) IN THE CONTEXT OF THE FAIRCLOUGH 3D MODEL." Zeitschrift für die Welt der Türken / Journal of World of Turks 14, no. 1 (April 15, 2022): 275–92. http://dx.doi.org/10.46291/zfwt/140121.
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The aim of this study is to analyze the tools used as message carriers in the movie "Life Fight/Yaşam Kavgası (1978)" within the framework of Fairclough's (1995) three-dimensional model and to reva the power relations and ideology in the movie. This research shows that Fairclough's framework can be used in multimodal film discourse studies. Findings, while a criticism made during the release period of the movie in the consumption phase, it was reported that the film director made a lower level of film than expected, while the comments of audiences on the virtual sites (2008-2020) were generally positive. In the movie "Life Fight/Yaşam Kavgası (1978)", it was seen that the mining situations were limited in terms of time and space. In the presentation of old age through the character of Vehip, the existing stereotypes of the period about old age were reinforced. Various behavioral definitions of Emine's character; contrary to the presentation of “woman” in the context of “gender”, it contained vocabulary, sound, mood and transitivity. On the other hand, in the choice of style of social actors, an ideological stance was displayed regarding the task of providing the unity of the family to women and the fact that women had no place in social life without a family/wife. In the scene of Şükran, Emine's departure with two or three men made an intertextual reference to "female-male witnessing" in Islam. In the main theme, the only home of the "family" was reminded in the world where there were cruelties and difficulties. It was seen that the greatest responsibility of the family in ensuring the continuity in social relations and maintaining its protection was given to the woman through the character of Emine in the movie. Keywords: Critical Discourse Analysis, Turkish Cinema, Fairclough 3D Model, Ideology
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Majstorović, Vidosav, Radivoje Mitrović, and Žarko Mišković. "Industry 4.0 in Serbia: State of development." Serbian Journal of Management 17, no. 1 (2022): 5–14. http://dx.doi.org/10.5937/sjm17-36626.
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A new model of automation of technological systems, based on the Internet, was defined as the concept of Industry 4.0, Germany in 2011. It represents an advanced model of connecting machines and computers (cyber-physical systems - CPS), their networking (cloud computing and Internet of Things (IoT)) with the widespread use of advanced artificial intelligence (AI) in this concept. This concept is a model of smart manufacturing (SM), and today we are talking about: smart vehicles, smart highways, smart grids, smart cities, smart services, etc ... - in short, intelligent "everything and anything" (smart everything). The most important directions for Serbia in the application of Industry 4.0 include: industrial policy for Industry 4.0, education for Industry 4.0 (higher / secondary education), research for Industry 4.0, and especially applied research and readiness of SMEs for Industry 4.0, as well as the application of this model in practice. This paper presents the development and application of the Industry 4.0 model in Serbia, through the activities of the Faculty of Mechanical Engineering in Belgrade, from 2015 until today, with special reference to the application of Industry 4.0 in mining.
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Cortecci, Gianni, Marco Benvenuti, Pierfranco Lattanzi, and Giuseppe Tanelli. "Stable isotope geochemistry of carbonates from the Apuane Alps mining district, northern Tuscany, Italy." European Journal of Mineralogy 4, no. 3 (June 11, 1992): 509–20. http://dx.doi.org/10.1127/ejm/4/3/0509.
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Martinez-Garza, Mario M., and Douglas B. Clark. "Investigating Epistemic Stances in Game Play with Data Mining." International Journal of Gaming and Computer-Mediated Simulations 9, no. 3 (July 2017): 1–40. http://dx.doi.org/10.4018/ijgcms.2017070101.
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In this paper, techniques of statistical computing were applied to data logs to investigate the patterns in students' play of The Fuzzy Chronicles, and how these patterns relate to learning outcomes with regards to Newtonian kinematics. This paper has two goals. The first goal is to investigate the basic claims of the proposed Two-System Framework for Game-Based Learning (or 2SM) (Martinez-Garza & Clark, 2016) that may serve as part of a general-use explanatory framework for educational gaming. The second goal is to explore and demonstrate the use of automatically collected log files of student play as evidence through educational data mining techniques. These techniques could also find general use, and this paper offers a demonstration of plausible methods and processes that are suited for game play data. These goals were pursued via two research questions. The first research question examines whether students playing The Fuzzy Chronicles showed evidence of dichotomous fast/slow modes of solution. The 2SM theorizes that slow modes of solution will correlate to higher learning gains. Congruent with the 2SM, students who use mainly fast iterative solution strategies achieved lower learning gains than students who preferred slow, elaborate solutions, or a more balanced mix of the two. A second research question investigates the connection between conceptual understanding and student performance in conceptually-laden challenges. The finding was that students generally improve their performance in these challenges as gameplay progresses, but that this improvement is strongly moderated by their prior knowledge of physics. Implications of these findings in terms of educational game design, analysis of gameplay logs, and further refinement of the 2SM are discussed.
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Lin, Yaojin, Xuegang Hu, Xiaomei Li, and Xindong Wu. "Mining stable patterns in multiple correlated databases." Decision Support Systems 56 (December 2013): 202–10. http://dx.doi.org/10.1016/j.dss.2013.06.003.
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Shi, Ruyi, Zheng Li, Zhenpeng Tang, and Di Wang. "Mechanism and Algorithm for Stable Trading Matching between Coal Mining and Power Generation Companies in China." Applied Sciences 12, no. 8 (April 13, 2022): 3919. http://dx.doi.org/10.3390/app12083919.
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This paper is concerned with stable trading between the coal mining and power generation companies in China. Under the current marketized coal and planned electricity price systems, barriers to price shifting between coal and electricity are created and conflicts between the two sectors are aggravated. The stable trading matching between coal mining and power generation companies is not only an effective means to resolve the conflict in the coal trading market, but also a ballast stone for price stabilization and supply guarantees in coal trading. Based on the two-sided matching theory, this paper starts from the micro market preference and matching willingness of coal mining and power generation companies, puts forward the conceptual framework of the pairwise stable matching of both sides, innovates a mechanism for trading between coal mining and power generation companies, and designs a stable trading matching algorithm. The algorithm has certain theoretical innovation significance from the matching problem of non-separable commodities to that of separable commodities considering the trading volume between coal mining and power generation companies. Furthermore, it is a complement and perfection of the existing coal–power trading platform in its transaction mechanism and trading function. The results reveal that the trading relations between coal mining and power generation companies under the stable matching mechanism are resistant to disintegration and that the pairwise stable matching result is sensitive.
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Pysmennyi, Serhii, Mykhailo Fedko, Serhii Chukharev, Kanay Rysbekov, Khavalbolot Kyelgyenbai, and Dimitar Anastasov. "Technology for mining of complex-structured bodies of stable and unstable ores." IOP Conference Series: Earth and Environmental Science 970, no. 1 (January 1, 2022): 012040. http://dx.doi.org/10.1088/1755-1315/970/1/012040.
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Abstract The object of the study is a rock massif represented by complex-structured ore bodies mined by underground systems with open stoping or systems with bulk caving. Deposits of Kryvyi Rih iron ore basin are represented by different types of ferruginous quartzite, which enables application of a great number of mining systems to mining blocks. There are also barren rock inclusions within the block which are extracted from the block along with ore, and this reduces the iron content of the mined ore mass. Findings of the comprehensive study enable concluding that application of the selective method when mining a deposit can enhance recovery rates. Analysis of methods for determining rock stability results in ascertaining that in case of a 4–7 m thick inclusion of barren rocks it is advisable to use a system with bulk caving at a single stage, and in case of a 7–12 m thick inclusion – in two stages. The first stage involves mining the hanging wall reserves, the footwall reserves are mined at the second stage. This method is distinguished by leaving a barren rock inclusion in the block. The developed options of the mining system allow increasing the iron content in the mined ore mass by 2–4% and obtaining the expected economic effect from 3.0 M to 30.2 M USD depending on mining and geological conditions.
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Luan, Yuanzhong, Yue Dong, Yanhe Ma, and Liyuan Weng. "Surface and New Building Deformation Analysis of Deep Well Strip Mining." Advances in Materials Science and Engineering 2020 (July 31, 2020): 1–14. http://dx.doi.org/10.1155/2020/8727956.
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Aiming at the problem of surface movement and long-term stability of a work plane of deep well strip mining in Shandong Province, an observation station is set up on the surface of strip mining, and the surface deformation value during strip mining is measured with advanced measuring instruments; on the stable surface of the old mining area, the surface deformation monitoring work is also carried out for new buildings. In addition, the FLAC3D simulation method is used to determine the subsidence factor of different mining depth, mining width, mining length, and mining thickness, and the mathematical model between the subsidence factor and mining depth, mining width, mining length, and mining thickness is established. After the surface of the old goaf is basically stable after strip mining, the high-rise buildings are built. By changing the size of the new buildings and the amount of the load imposed on the surface, the surface deformation is simulated and calculated, and the relationship between the different load positions, load sizes, loading building sizes, and the surface activated deformation is obtained. The measured value of the surface deformation confirms that the load of the new buildings can induce the activation of the old goaf and make the surface generate secondary deformation, but the activated deformation makes the new building within the range of 1, so the new building is safe.
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Liu, YingJie, Qingjie Qi, and Anhu Wang. "Influence of Valleys Terrain on Pressure of Fully Mechanized Working Faces in Shallow Coal Seams." Shock and Vibration 2021 (January 7, 2021): 1–11. http://dx.doi.org/10.1155/2021/8880041.
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The absence of a key stratum during overburden rock movement is crucial to the mining pressure of fully mechanized coal mining faces. Using physical and numerical simulations, the 21304 mechanized mining in Daliuta and Huojitu coal mining faces 1−2 appeared twice during a pressure frame accident analysis. The results indicate that a lack of key overlying strata is crucial to the mining of lower coal seams, particularly for the upper sections of a single key stratum of coal. When the key stratum of the upper coal seam is absent, a stable masonry structure is formed after mining. It is easy to form stable stacked strata at the bottom of a coal seam. When developing gullies in deep terrains, the formation of the key stratum will be an upper rock fracture affected by the impact, resulting in a partial absence of the key stratum. When the key stratum is absent, the mining of upslope working faces and the probability of dynamic strata pressure increase with the overburden on the working face and mining of downslope faces. The face mine pressure development laws on the upper and lower coal seam mining were similar, mainly manifesting as “slope section >valley bottom section >back slope section.”
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Liu, YingJie, Qingjie Qi, and Anhu Wang. "Influence of Valleys Terrain on Pressure of Fully Mechanized Working Faces in Shallow Coal Seams." Shock and Vibration 2021 (January 7, 2021): 1–11. http://dx.doi.org/10.1155/2021/8880041.
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The absence of a key stratum during overburden rock movement is crucial to the mining pressure of fully mechanized coal mining faces. Using physical and numerical simulations, the 21304 mechanized mining in Daliuta and Huojitu coal mining faces 1−2 appeared twice during a pressure frame accident analysis. The results indicate that a lack of key overlying strata is crucial to the mining of lower coal seams, particularly for the upper sections of a single key stratum of coal. When the key stratum of the upper coal seam is absent, a stable masonry structure is formed after mining. It is easy to form stable stacked strata at the bottom of a coal seam. When developing gullies in deep terrains, the formation of the key stratum will be an upper rock fracture affected by the impact, resulting in a partial absence of the key stratum. When the key stratum is absent, the mining of upslope working faces and the probability of dynamic strata pressure increase with the overburden on the working face and mining of downslope faces. The face mine pressure development laws on the upper and lower coal seam mining were similar, mainly manifesting as “slope section >valley bottom section >back slope section.”
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Shao, Xiaoping, Xin Li, Long Wang, Zhiyu Fang, Bingchao Zhao, Ershuai Liu, Yeqing Tao, and Lang Liu. "Study on the Pressure-Bearing Law of Backfilling Material Based on Three-Stage Strip Backfilling Mining." Energies 13, no. 1 (January 2, 2020): 211. http://dx.doi.org/10.3390/en13010211.
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During strip backfilling mining in coal mines, the backfilling material is the main support structure. Therefore, studying the pressure law of the backfilling material is essential for the safe and efficient mining of coal resources. Based on research into strip backfilling mining at working face number 3216 of the Shanghe Coal Mine, and to smooth transition of overlying strata loads to the backfilling material, this study proposes a three-stage strip backfilling mining method. Based on thin-plate theory, an elastic thin-plate model, a reasonable spacing of strip mining is constructed, and the reasonable mining parameters of “mining 7 m to retain 8 m” at working face number 3216 of the Shanghe Coal Mine are determined. The law of backfilling pressure in three-stage strip backfilling mining is studied through numerical simulation and physical simulation experiments. The results show that field measurement results are basically consistent with the experimental results and numerical simulation results. When three-stage strip backfilling mining is adopted, the stage-one backfilling material is the main bearing body to which the overlying rock load transfers smoothly and gradually, and the structure of the “overburden-coal pillar (or backfilling strip)” in the stope remains stable. In three-stage strip backfilling mining, the overlying rock load is ultimately transferred to the stage-one backfilling material, the stage-two backfilling material is the auxiliary bearing body, and the stage-three backfilling material mainly provides long-term stable lateral support for the stage-one backfilling material.
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Teng, Yonghai, Sihai Yi, Wei Zhu, and Shengqiang Jing. "Development Patterns of Fractured Water-Conducting Zones under Fully Mechanized Mining in Wet-Collapsible Loess Area." Water 15, no. 1 (December 21, 2022): 22. http://dx.doi.org/10.3390/w15010022.
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The development pattern of fractured water-conducting zones (FWCZs) is closely related to mining safety and water conservation in mining areas. However, neither the development pattern nor the empirical formula in the prediction of the height of FWCZs are clear for fully mechanized caving mining conditions in wet collapsible loess areas. We took Lu’an Coal Mine as a case study, employing field measurements and numerical simulation to investigate surface subsidence and FWCZs. Under the conditions of fully mechanized top coal caving in thick coal seams, surface movement is more intense, and surface cracking is more frequent. Field measurements using boreholes indicated the ratio of fracture height to coal seam thickness was 19.1–23.4, and thethe ratio stays stable both by sliced fully mechanized mining and fully mechanized mining. The height of the FWCZ with fully mechanized mining is 1.37 times and 2.31 times larger than the height with sliced fully mechanized mining and ordinary mining, respectively. The numerical simulation by RFPA illustrated that the height of the FWCZ remained stable when it reached a certain rock level with the working face moving forward. Furthermore, we developed an empirical formula for predicating the maximum height of an FWCZ under fully mechanized mining conditions in wet collapsible loess areas. Finally, the research findings were applied in several coal mines to achieve safe production and water conservation. This work provides guidance for effectively mining safely and water conservation in similar geographic conditions.
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Fujita, Kentaro, Yuanyu Zhang, Masahiro Sasabe, and Shoji Kasahara. "Mining Pool Selection under Block WithHolding Attack." Applied Sciences 11, no. 4 (February 10, 2021): 1617. http://dx.doi.org/10.3390/app11041617.
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In current Proof-of-Work (PoW) blockchain systems, miners usually form mining pools to compete with other pools/miners in the mining competition. Forming pools can give miners steady revenues but will introduce two critical issues. One is mining pool selection, where miners select the pools to join in order to maximize their revenues. The other is a Block WithHolding (BWH) attack, where pools can inject part of their hash/mining power into other pools to obtain additional revenues without contributing to the mining process of the attacked pools. Reasoning that the BWH attack will have significant impacts on the pool selection, we therefore investigate the mining pool selection issue in the presence of a BWH attack in this paper. In particular, we model the pool selection process of miners as an evolutionary game and find the Evolutionarily Stable States (ESSs) of the game (i.e., stable pool population states) as the solutions. Previous studies investigated this problem from the perspective of pool managers and neglected the revenues from attacked pools (attacking revenues), leading to less accurate and insightful findings. This paper, however, focuses on the payoffs of miners and carefully takes the attacking revenues into consideration. To demonstrate how the problem is solved, we consider the scenario with two mining pools and further investigate the case where one pool attacks the other and the case where the two pools attack each other. The results in this paper show that pools can attract more miners to join by launching a BWH attack and the attack power significantly affects the stable pool populations.
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Li, Quansheng, Junting Guo, Fei Wang, and Ziheng Song. "Monitoring the Characteristics of Ecological Cumulative Effect Due to Mining Disturbance Utilizing Remote Sensing." Remote Sensing 13, no. 24 (December 10, 2021): 5034. http://dx.doi.org/10.3390/rs13245034.
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This study conducted land cover classification and inversion analysis to estimate land surface temperature, soil moisture, specific humidity, atmospheric water vapor density, and relative humidity using remote sensing and multi-source mining data. Using 1990–2020 data from the Shendong mining area in Inner Mongolia, China, the eco-environmental evolution and the ecological cumulative effects (ECE) of mining operations were characterized and analyzed at a long-term scale. The results show that while the eco-environment was generally stable, mining activities affected the eco-environment at the initial stage (1990–2000) to a certain degree. During the rapid development stage of coal mining, the eco-environment was severely damaged, and the ECE were significant at the temporal scale. The absolute value of the change rate of ecological parameters was increasing. Due to an increased focus on ecological restoration, starting in 2010, the environmental indicators gradually stabilized and the eco-environment improved considerably, ushering in a period of stability for coal mining activities. The absolute value of the change rate of ecological parameters became stable. Analysis of the change in eco-environmental indicators with distance and comparison to the contrast area showed the ECE characteristics from mining disturbance at the spatial scale. This study shows that remote sensing technology can be used to characterize the ECE from mining operations and analyze eco-environmental indicators, providing crucial information in support of ecological protection and restoration, particularly in coal mining areas.
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Shi, Zhanshan, Donglin Ye, Bing Qin, Jianfeng Hao, Weiji Sun, and Shengjie Fang. "Mining Height Effect and Application of Upper Protected Layer Mining Pressure Relief." Sustainability 14, no. 16 (August 15, 2022): 10119. http://dx.doi.org/10.3390/su141610119.
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In order to obtain the minimum mining height that can play an effective protective role in the mining of the non-full coal protective layer in the Hongyang No. 3 coal mine and improve its economic benefits, the relationship between the mining height and the pressure relief of the protected layer is studied. Theoretical analysis is used to establish a calculation model of the goaf stress distribution law, with the mining height as a variable. The calculation model research results show that the mining height adjusts the goaf stress distribution by adjusting the range of the “three zones”. The force of the falling zone and the frustration zone on the goaf is approximately trapezoidal geostatic stress, and the roof stress in the vertical projection area of the trapezoidal waistline is not transmitted to the goaf. The development heights of the “two zones” are different at different mining heights, and the corresponding pressure-relief ranges are different from the waistline vertical projection. The curved subsidence zone transmits stress to the goaf through the fissure zone and the caving zone below, which can be calculated by the elastic foundation beam model. The falling zone is the elastic foundation, and different mining heights have different foundation coefficients. With the increase in mining heights, the foundation coefficients first decrease and then tend to be stable. The pressure-relief range of the stress transmitted from the curved subsidence zone to the goaf first increases and then tends to be stable. According to the calculation model, the minimum mining height for effective pressure relief of the upper protective layer of thin coal in the Hongyang No. 3 coal mine is 2.5 m, which can effectively relieve the pressure of the protected layer with the floor layer spacing of 48 m.
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Liu, Zezhou, Song Jiang, Bin Tian, Ke Zhu, and Wenhai Lin. "Mining Subsidence Monitoring Based on InSAR Method Fusing Multi-threshold Target." Acadlore Transactions on Geosciences 1, no. 1 (November 15, 2022): 22–32. http://dx.doi.org/10.56578/atg010104.
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In view of the limitations of traditional InSAR technology in selecting stable target point for orbit refining and surface subsidence inversion in complicated mining area, this paper proposes a time-series InSAR mining area subsidence monitoring method based on the fusion of multi threshold targets. On the basis of the traditional technology, the deviation threshold parameters, the regional window threshold parameters and the coherence threshold parameters are set to extract the relatively stable target points on the ground. Applying this method and traditional InSAR method to practical cases, the monitoring results of surface subsidence in the study area are obtained and verified. The results show that: (1) there are three mining subsidence areas in the mining area, the maximum annual average subsidence rate is -156 mm/a, and the maximum subsidence is -376 mm. Compared with the optical image data, the location of the mining subsidence area is consistent with the mining work area of the coal mine; (2) The absolute average difference of subsidence in the mining area using the two methods shall not exceed 12 mm. It shows that the InSAR method of fusing multi threshold targets can not only effectively overcome the limitations of traditional InSAR, but also ensure high accuracy, and has more advantages in the monitoring of surface subsidence in mining areas.
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Cui, Fan, Yunfei Du, Baiping Chen, Yuxuan Zhao, and Yingqing Zhou. "Variation in shallow sandy loam porosity under the influence of shallow coal seam mining in north-west China." Energy Exploration & Exploitation 38, no. 5 (April 8, 2020): 1349–66. http://dx.doi.org/10.1177/0144598720918673.
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To study the influence of coal mining on the porosity of shallow sandy loam under conditions of shallow seam mining in thick, loose layers in north-west China, a typical surface sandy loam stratum in Shaanxi Province was taken as the study area, and experiments were performed to test the variation of soil porosity at different depths of 0–10 m in strata before, during and after mining therein. The experimental results demonstrate that the overall average porosities in the disc-shaped edge area, the disc-shaped edge area to the disc-shaped basin bottom area and the disc-shaped subsidence centre area of shallow sandy loam in mining increased by (23.51, 18.07 and 22.61%) respectively compared with that before mining. Mining meant that the soil porosity in the period of stable subsidence after mining changed significantly in the disc-shaped edge area and the disc-shaped edge to the disc-shaped basin bottom area. The disc-shaped edge area shows a trend of slowly rising porosity with the increase of depth, and the disc-shaped edge area to the disc-shaped basin bottom area shows a trend of gradually increasing first and then gradually becoming stable. Although the porosity in the central area of disc-shaped subsidence increased before mining, its trend was similar to that before mining. Although the change in soil porosity in the period of post-mining settlement stability is greater than that before mining, it is best fitted by a quintic polynomial. In general, the rate of change of soil porosity in the study area shows similar trends with depth. It showed a U-shaped variation that first decreased, stabilised for a distance and then gradually increased. This study provides theoretical support for surface soil remediation and ecological environment restoration in coal mining areas.
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Fatlawi, Hayder K., and Attila Kiss. "Differential privacy based classification model for mining medical data stream using adaptive random forest." Acta Universitatis Sapientiae, Informatica 13, no. 1 (June 1, 2021): 1–20. http://dx.doi.org/10.2478/ausi-2021-0001.
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Abstract Most typical data mining techniques are developed based on training the batch data which makes the task of mining the data stream represent a significant challenge. On the other hand, providing a mechanism to perform data mining operations without revealing the patient’s identity has increasing importance in the data mining field. In this work, a classification model with differential privacy is proposed for mining the medical data stream using Adaptive Random Forest (ARF). The experimental results of applying the proposed model on four medical datasets show that ARF mostly has a more stable performance over the other six techniques.
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Yu, Wei Jian, Tao Feng, and Gang Ye Guo. "Numerical Analysis on Ground Pressure Feature in Fully Mechanized Coal Face." Advanced Materials Research 807-809 (September 2013): 2299–303. http://dx.doi.org/10.4028/www.scientific.net/amr.807-809.2299.
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Base on the fully mechanized coal face of 8113 (1) in LaoYingSan mine, numerical analysis method was applied to analyze the ground pressure feature, FLAC software is carried out to set up numerical model, and offer numerical procedure. The mining abutment pressure distribute form and its partition in front of fully mechanized working face. All four different mining height (2.6m2.8m3.0m3.2m) was respectively calculated. In addition, the influence of mining speed to mining abutment pressure and intervals is analyzed, four different mining distance (20m30m40m50m) selected separately. Afterwards, the different solution analyzed respectively, these results show that the mining abutment pressure distribution form in front of fully mechanized working face essentially identical, they including the stress increasing zones, the stress decreasing zones and the initial rock stress stable field. The influence of mining pace to wall rock looseness range greater than mining height.
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Wu, Xiangye, Jingya Wang, Wencai Wang, Chen Tian, Qingwei Bu, and Lin Wu. "Study on the Stage Failure Mechanism and Stability Control of Surrounding Rock of Repeated Mining Roadway." Advances in Civil Engineering 2020 (September 30, 2020): 1–16. http://dx.doi.org/10.1155/2020/8866559.
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China is one of the leading countries in the mining and utilization of coal resources, and the problems of coal-mining technology and safety have been concerned by the world, while the serious deformation and destruction of surrounding rock and the difficulty of support have brought inconvenience to the mining of coal resources due to repeated mining. This paper takes the actual engineering 22205 mining roadway in Buertai mine as the research background, through the combination of numerical simulation and field measurement. In this paper, the stress environment, plastic zone, and surrounding rock deformation in the advancing process of coal-mining face are studied, and the stress evolution law of surrounding rock in repeated mining roadway is obtained. It is clarified that the surrounding rock deformation is the failure mechanism under the combined action of principal stress difference and stress direction deflection. As a result, the surrounding rock of the roadway is asymmetrically deformed and destroyed, and the corresponding surrounding rock control scheme is put forward. The results show that the influence of repeated mining on roadway stress environment can be divided into four stages with the mining process: the stability stage of mining influence, the expansion stage of primary mining, the stable stage after primary mining, and the expansion stage of second mining. At the same time, the shape changes of the plastic zone and the displacement monitoring results of the monitoring are analyzed, and the results are obtained; the stage of stress change is suitable, and combined with the failure characteristics of surrounding rock in each stage, it is put forward that reinforcement measures should be taken in the stable stage after mining; the specific reinforcement scheme is determined according to the expansion form of plastic zone and field measurement. The on-site monitoring shows that there is no roof fall accident during the use of the roadway, which ensures the safety in production.
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Xie, Shiyong, and Long Zhao. "An Efficient Algorithm for Mining Stable Periodic High-Utility Sequential Patterns." Symmetry 14, no. 10 (September 28, 2022): 2032. http://dx.doi.org/10.3390/sym14102032.
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Periodic high-utility sequential pattern mining (PHUSPM) is used to extract periodically occurring high-utility sequential patterns (HUSPs) from a quantitative sequence database according to a user-specified minimum utility threshold (minutil). A sequential pattern’s periodicity is determined by measuring when the frequency of its periods (the time between two consecutive happenings of the sequential pattern) exceed a user-specified maximum periodicity threshold (maxPer). However, due to the strict judgment threshold, the traditional PHUSPM method has the problem that some useful sequential patterns are discarded and the periodic values of some sequential patterns fluctuate greatly (i.e., are unstable). In frequent itemset mining (FIM), some researchers put forward some strategies to solve these problems. Because of the symmetry of frequent itemset pattern (FIPs), these strategies cannot be directly applied to PHUSPM. In order to address these issues, this work proposes the stable periodic high-utility sequential pattern mining (SPHUSPM) algorithm. The contributions made by this paper are as follows. First, we introduce the concept of stability to overcome the abovementioned problems, mine sequential patterns with stable periodic behavior, and propose the concept of stable periodic high-utility sequential patterns (SPHUSPs) for the first time. Secondly, we design a new data structure named the PUL-list to record the periodic information of sequential patterns, thereby improving the mining efficiency. Thirdly, we propose the maximum lability pruning strategy in sequential pattern (MLPS), which can prune a large number of unstable sequential patterns in advance. To assess the algorithm’s effectiveness, we perform many experiments. It turns out that the algorithm can not only mine patterns that are ignored by traditional algorithms, but also ensure that the discovered patterns have stable periodic behavior. In addition, after using the MLPS pruning strategy, the algorithm can prune 46.5% of candidates in advance on average in six datasets. Pruning a large number of candidates in advance not only speeds up the mining process, but also greatly reduces memory usage.
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Mikami, Shuto, Yutaka Ito, and Hernan Gabriel Oyola Gonzales. "Assessing Peruvian University Students’ Preferences for Labor Conditions in Mining Site." Sustainability 13, no. 17 (August 27, 2021): 9648. http://dx.doi.org/10.3390/su13179648.
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The mining industry is one of the biggest industries and has a strong impact in Peru. Despite the mining industry’s importance, it faces labor shortages and environmental risks. For these situations, mining students are important sources of workers not only as labor forces but also as skilled workers who can contribute to solving the environmental issues of mining companies. Thus, the purpose of this paper is to assess Peruvian university mining students’ preferences for labor conditions in mining sites using a discrete choice experiment in order to promote efficient improvements in labor conditions in mining sites that contribute to stable employment and address environmental concerns. The number of respondents was 222 in two Peruvian universities, including males and females aged 16–35 years. The analysis’s findings indicate that labor conditions at mining sites can be optimized by adjusting them to specific individual characteristics of potential mining workers, resulting in a more efficient working environment for companies and workers.
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Seen, Andrew, Ashley Townsend, Bonnie Atkinson, Joanna Ellison, Jennifer Harrison, and Henk Heijnis. "Determining the History and Sources of Contaminants in Sediments in the Tamar Estuary, Tasmania, Using 210Pb Dating and Stable Pb Isotope Analyses." Environmental Chemistry 1, no. 1 (2004): 49. http://dx.doi.org/10.1071/en04011.
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Environmental Context.Dating estuary sediments provides insights into the materials entering the estuary and can pinpoint when the contamination occurred. Heavy metal contamination is a known health risk but attributing it to a source can be contentious. For a sample sourced downstream of a city and a mining region, lead-210 dating and stable lead isotope analyses uncovered the sources of lead inputs. These methods quantified the extent that upstream mining activities and, for the first time, the extent that non-mining inputs (vehicles, industry) contributed to the estuary’s pollution. Abstract.210Pb dating and heavy metal analyses (Cd, Cu, Pb, Zn) have been combined to establish an historical profile of pollutant levels in sediments in the Tamar Estuary (Tasmania, Australia) over the past century. Heavy metal profiles through the core show a strong correlation with mining activities and industrialization during the past century, reflecting catchment disturbance in one of Australia’s earliest settled areas. A source apportionment of Pb in the sediment core using stable Pb isotope ratios (204Pb, 206Pb, 207Pb, 208Pb) shows that mine pollution has been contributing 10–25 mg kg–1 to Tamar Estuary sediments since the start of mining in the early 1890s, whilst non-mining inputs were not significant until post-1930 and became increasingly significant post-World War II. Since the 1950s–1960s, non-mining anthropogenic Pb inputs have become as significant as Pb from mining activities, although there does appear to be a decline in non-mining inputs during the past 20 years, which is consistent with findings elsewhere where reductions in atmospheric Pb levels have been observed and are attributed to the phasing-out of leaded gasoline. The source apportionment does, however, suggest that Pb from mine pollution at Storys and Aberfoyle Creeks continues to impact upon upper Tamar Estuary sediment quality.
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He, Fulian, Bingquan Liu, Liang Li, Xuhui Xu, Kai Lv, Wenli Zhai, Jiayu Song, and Deqiu Wang. "Study on the Key Factors of Terminal Mining Line Layout in Repeated Mining of Close-Distance Thick Coal Seams." Advances in Materials Science and Engineering 2022 (September 12, 2022): 1–12. http://dx.doi.org/10.1155/2022/9724275.
Full textAbstract:
In order to mater the reasonable layout basis of the terminal mining line position in the repeated mining of close-distance thick coal seams, taking Yan mine as the engineering background, we conducted theoretical analyses, numerical simulations, and field measurements to study the action mechanism of the stress arch. The results show that (1) with repeated mining, the shape of the left and right half arches of the stress arch changes in the order of time and space until it is stable; (2) the shape of the stress arch is highly related to the distribution of abutment pressure in the working face. If the shape is unchanged, the distribution of abutment pressure is unchanged; (3) in the final mining stage of repeated mining, when the shape of the right half arch is stable, the difference stagger distance of the terminal mining line has little effect on the distribution of abutment pressure of the working face where the front arch foot is located; (4) when the internal stagger distance between 3216 working face and terminal mining line of 4216 working face is greater than 22 m or the external stagger distance is greater than 30 m, 3216 working face is located in a relatively safe position. This study clarifies the key factors for the layout of terminal mining lines in close-distance thick coal seams, which can provide a scientific basis for similar projects.
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Sherief, Abdallah. "Mining Dynamics: Using Data Mining Techniques to Analyze Multi-agent Learning." Journal of Intelligent Systems 26, no. 4 (September 26, 2017): 613–24. http://dx.doi.org/10.1515/jisys-2016-0136.
Full textAbstract:
AbstractAnalyzing the learning dynamics in multi-agent systems (MASs) has received growing attention in recent years. Theoretical analysis of the dynamics was only possible in simple domains and simple algorithms. When one or more of these restrictions do not apply, theoretical analysis becomes prohibitively difficult, and researchers rely on experimental analysis instead. In experimental analysis, researchers have used some global performance metric(s) as a rough approximation to the internal dynamics of the adaptive MAS. For example, if the overall payoff improved over time and eventually appeared to stabilize, then the learning dynamics were assumed to be stable as well. In this paper, we promote a middle ground between the thorough theoretical analysis and the high-level experimental analysis. We introduce the concept of mining dynamics and propose data-mining-based methodologies to analyze multi-agent learning dynamics. Using our methodologies, researchers can identify clusters of learning parameter values that lead to similar performance, and discover frequent sequences in agent dynamics. We verify the potential of our approach using the well-known iterated prisoner’s dilemma (with multiple states) domain.
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Gao, Han, Xuanping Gong, Xiaoyu Cheng, Rui Yu, and Hui Wang. "Reasonable Arrangement of High-Level Orientation Extraction Boreholes of Pressure Relief Gas in Overlying Strata under High-Strength Fully Mechanized Mining in Low-Gas-Thick-Coal Seam." Shock and Vibration 2021 (March 1, 2021): 1–16. http://dx.doi.org/10.1155/2021/5574917.
Full textAbstract:
In order to solve the problem of pressure relief gas control under high-strength fully mechanized top-coal caving in low-gas-thick-coal seams, this paper studies the evolution of overburden structures and the distribution characteristics of fissure fields during the initial and stable period of working face by physical simulation and numerical analysis. The mathematical model of coupling between mining fracture field and pressure relief gas field is established. The results reveal the distribution characteristics of pressure relief gas field that considers mining-induced fissure field. According to the distribution of mining gas accumulation area, the high directional long boreholes have been put forward to control the pressure relief gas in goafs, and the effect has been tested. The results show that the initial pressure and three periodic pressures occurred from the cutting hole to 135 m in the initial mining period of the working face. The height of collapse zone developed to 22 m, and fracture height developed to 75 m. The development height of caving zone is stable at 25∼27 m, and the development height of fissure zone is stable at 75∼95 m. The process and distribution of pressure relief gas flow in goaf are obtained by solving the numerical model of pressure relief gas flow in mining fissure field. The gas accumulation area is located within 25∼55 m from return laneway and 25∼50 m from the roof of coal seam. After the implementation of high directional long drilling gas drainage technology in the initial mining period and the stable mining period, good results have been obtained in the gas control, where the average concentration of gas extraction is 5.8%, the average gas flow rate is 0.71 m3/min, and the gas concentration in upper corner and return air is less than 0.8%. The results can provide a reference for pressure relief gas control under similar conditions.