WorldWideScience

Sample records for context mining tool

  1. Data Mining Tools in Science Education

    OpenAIRE

    Premysl Zaskodny

    2012-01-01

    The main principle of paper is Data Mining in Science Education (DMSE) as Problem Solving. The main goal of paper is consisting in Delimitation of Complex Data Mining Tool and Partial Data Mining Tool of DMSE. The procedure of paper is consisting of Data Preprocessing in Science Education, Data Processing in Science Education, Description of Curricular Process as Complex Data Mining Tool (CP-DMSE), Description of Analytical Synthetic Modeling as Partial Data Mining Tool (ASM-DMSE) and finally...

  2. Collaborative Data Mining Tool for Education

    Science.gov (United States)

    Garcia, Enrique; Romero, Cristobal; Ventura, Sebastian; Gea, Miguel; de Castro, Carlos

    2009-01-01

    This paper describes a collaborative educational data mining tool based on association rule mining for the continuous improvement of e-learning courses allowing teachers with similar course's profile sharing and scoring the discovered information. This mining tool is oriented to be used by instructors non experts in data mining such that, its…

  3. A Collaborative Educational Association Rule Mining Tool

    Science.gov (United States)

    Garcia, Enrique; Romero, Cristobal; Ventura, Sebastian; de Castro, Carlos

    2011-01-01

    This paper describes a collaborative educational data mining tool based on association rule mining for the ongoing improvement of e-learning courses and allowing teachers with similar course profiles to share and score the discovered information. The mining tool is oriented to be used by non-expert instructors in data mining so its internal…

  4. Data Mining Tools for Malware Detection

    CERN Document Server

    Masud, Mehedy; Thuraisingham, Bhavani; Andreasson, Kim J

    2011-01-01

    Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop data mining tools for malware detection. Integrating theory with practical techniques and experimental results, it focuses on malware detection applications for email worms, malicious code, remote exploits, and botnets. The authors describe the systems they have designed and devel

  5. Tools for Educational Data Mining: A Review

    Science.gov (United States)

    Slater, Stefan; Joksimovic, Srecko; Kovanovic, Vitomir; Baker, Ryan S.; Gasevic, Dragan

    2017-01-01

    In recent years, a wide array of tools have emerged for the purposes of conducting educational data mining (EDM) and/or learning analytics (LA) research. In this article, we hope to highlight some of the most widely used, most accessible, and most powerful tools available for the researcher interested in conducting EDM/LA research. We will…

  6. Open-source tools for data mining.

    Science.gov (United States)

    Zupan, Blaz; Demsar, Janez

    2008-03-01

    With a growing volume of biomedical databases and repositories, the need to develop a set of tools to address their analysis and support knowledge discovery is becoming acute. The data mining community has developed a substantial set of techniques for computational treatment of these data. In this article, we discuss the evolution of open-source toolboxes that data mining researchers and enthusiasts have developed over the span of a few decades and review several currently available open-source data mining suites. The approaches we review are diverse in data mining methods and user interfaces and also demonstrate that the field and its tools are ready to be fully exploited in biomedical research.

  7. On data mining in context : cases, fusion and evaluation

    NARCIS (Netherlands)

    Putten, Petrus Wilhelmus Henricus van der

    2010-01-01

    Data mining can be seen as a process, with modeling as the core step. However, other steps such as planning, data preparation, evaluation and deployment are of key importance for applications. This thesis studies data mining in the context of these other steps with the goal of improving data mining

  8. IT Data Mining Tool Uses in Aerospace

    Science.gov (United States)

    Monroe, Gilena A.; Freeman, Kenneth; Jones, Kevin L.

    2012-01-01

    Data mining has a broad spectrum of uses throughout the realms of aerospace and information technology. Each of these areas has useful methods for processing, distributing, and storing its corresponding data. This paper focuses on ways to leverage the data mining tools and resources used in NASA's information technology area to meet the similar data mining needs of aviation and aerospace domains. This paper details the searching, alerting, reporting, and application functionalities of the Splunk system, used by NASA's Security Operations Center (SOC), and their potential shared solutions to address aircraft and spacecraft flight and ground systems data mining requirements. This paper also touches on capacity and security requirements when addressing sizeable amounts of data across a large data infrastructure.

  9. Comparative genomics using data mining tools

    Indian Academy of Sciences (India)

    We have analysed the genomes of representatives of three kingdoms of life, namely, archaea, eubacteria and eukaryota using data mining tools based on compositional analyses of the protein sequences. The representatives chosen in this analysis were Methanococcus jannaschii, Haemophilus influenzae and ...

  10. Data Mining and Optimization Tools for Developing Engine Parameters Tools

    Science.gov (United States)

    Dhawan, Atam P.

    1998-01-01

    This project was awarded for understanding the problem and developing a plan for Data Mining tools for use in designing and implementing an Engine Condition Monitoring System. Tricia Erhardt and I studied the problem domain for developing an Engine Condition Monitoring system using the sparse and non-standardized datasets to be available through a consortium at NASA Lewis Research Center. We visited NASA three times to discuss additional issues related to dataset which was not made available to us. We discussed and developed a general framework of data mining and optimization tools to extract useful information from sparse and non-standard datasets. These discussions lead to the training of Tricia Erhardt to develop Genetic Algorithm based search programs which were written in C++ and used to demonstrate the capability of GA algorithm in searching an optimal solution in noisy, datasets. From the study and discussion with NASA LeRC personnel, we then prepared a proposal, which is being submitted to NASA for future work for the development of data mining algorithms for engine conditional monitoring. The proposed set of algorithm uses wavelet processing for creating multi-resolution pyramid of tile data for GA based multi-resolution optimal search.

  11. A Visualization Tool for Integrating Research Results at an Underground Mine

    Science.gov (United States)

    Boltz, S.; Macdonald, B. D.; Orr, T.; Johnson, W.; Benton, D. J.

    2016-12-01

    Researchers with the National Institute for Occupational Safety and Health are conducting research at a deep, underground metal mine in Idaho to develop improvements in ground control technologies that reduce the effects of dynamic loading on mine workings, thereby decreasing the risk to miners. This research is multifaceted and includes: photogrammetry, microseismic monitoring, geotechnical instrumentation, and numerical modeling. When managing research involving such a wide range of data, understanding how the data relate to each other and to the mining activity quickly becomes a daunting task. In an effort to combine this diverse research data into a single, easy-to-use system, a three-dimensional visualization tool was developed. The tool was created using the Unity3d video gaming engine and includes the mine development entries, production stopes, important geologic structures, and user-input research data. The tool provides the user with a first-person, interactive experience where they are able to walk through the mine as well as navigate the rock mass surrounding the mine to view and interpret the imported data in the context of the mine and as a function of time. The tool was developed using data from a single mine; however, it is intended to be a generic tool that can be easily extended to other mines. For example, a similar visualization tool is being developed for an underground coal mine in Colorado. The ultimate goal is for NIOSH researchers and mine personnel to be able to use the visualization tool to identify trends that may not otherwise be apparent when viewing the data separately. This presentation highlights the features and capabilities of the mine visualization tool and explains how it may be used to more effectively interpret data and reduce the risk of ground fall hazards to underground miners.

  12. Data mining applications in the context of casemix.

    Science.gov (United States)

    Koh, H C; Leong, S K

    2001-07-01

    In October 1999, the Singapore Government introduced casemix-based funding to public hospitals. The casemix approach to health care funding is expected to yield significant benefits, including equity and rationality in financing health care, the use of comparative casemix data for quality improvement activities, and the provision of information that enables hospitals to understand their cost behaviour and reinforces the drive for more cost-efficient services. However, there is some concern about the "quicker and sicker" syndrome (that is, the rapid discharge of patients with little regard for the quality of outcome). As it is likely that consequences of premature discharges will be reflected in the readmission data, an analysis of possible systematic patterns in readmission data can provide useful insight into the "quicker and sicker" syndrome. This paper explores potential data mining applications in the context of casemix by using readmission data as an illustration. In particular, it illustrates how data mining can be used to better understand readmission data and to detect systematic patterns, if any. From a technical perspective, data mining (which is capable of analysing complex non-linear and interaction relationships) supplements and complements traditional statistical methods in data analysis. From an applications perspective, data mining provides the technology and methodology to analyse mass volume of data to detect hidden patterns in data. Using readmission data as an illustrative data mining application, this paper explores potential data mining applications in the general casemix context.

  13. Software tool for data mining and its applications

    Science.gov (United States)

    Yang, Jie; Ye, Chenzhou; Chen, Nianyi

    2002-03-01

    A software tool for data mining is introduced, which integrates pattern recognition (PCA, Fisher, clustering, hyperenvelop, regression), artificial intelligence (knowledge representation, decision trees), statistical learning (rough set, support vector machine), computational intelligence (neural network, genetic algorithm, fuzzy systems). It consists of nine function models: pattern recognition, decision trees, association rule, fuzzy rule, neural network, genetic algorithm, Hyper Envelop, support vector machine, visualization. The principle and knowledge representation of some function models of data mining are described. The software tool of data mining is realized by Visual C++ under Windows 2000. Nonmonotony in data mining is dealt with by concept hierarchy and layered mining. The software tool of data mining has satisfactorily applied in the prediction of regularities of the formation of ternary intermetallic compounds in alloy systems, and diagnosis of brain glioma.

  14. Human Behavior Analysis by Means of Multimodal Context Mining

    Directory of Open Access Journals (Sweden)

    Oresti Banos

    2016-08-01

    Full Text Available There is sufficient evidence proving the impact that negative lifestyle choices have on people’s health and wellness. Changing unhealthy behaviours requires raising people’s self-awareness and also providing healthcare experts with a thorough and continuous description of the user’s conduct. Several monitoring techniques have been proposed in the past to track users’ behaviour; however, these approaches are either subjective and prone to misreporting, such as questionnaires, or only focus on a specific component of context, such as activity counters. This work presents an innovative multimodal context mining framework to inspect and infer human behaviour in a more holistic fashion. The proposed approach extends beyond the state-of-the-art, since it not only explores a sole type of context, but also combines diverse levels of context in an integral manner. Namely, low-level contexts, including activities, emotions and locations, are identified from heterogeneous sensory data through machine learning techniques. Low-level contexts are combined using ontological mechanisms to derive a more abstract representation of the user’s context, here referred to as high-level context. An initial implementation of the proposed framework supporting real-time context identification is also presented. The developed system is evaluated for various realistic scenarios making use of a novel multimodal context open dataset and data on-the-go, demonstrating prominent context-aware capabilities at both low and high levels.

  15. Data Mining Practical Machine Learning Tools and Techniques

    CERN Document Server

    Witten, Ian H; Hall, Mark A

    2011-01-01

    Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place

  16. Working with text tools, techniques and approaches for text mining

    CERN Document Server

    Tourte, Gregory J L

    2016-01-01

    Text mining tools and technologies have long been a part of the repository world, where they have been applied to a variety of purposes, from pragmatic aims to support tools. Research areas as diverse as biology, chemistry, sociology and criminology have seen effective use made of text mining technologies. Working With Text collects a subset of the best contributions from the 'Working with text: Tools, techniques and approaches for text mining' workshop, alongside contributions from experts in the area. Text mining tools and technologies in support of academic research include supporting research on the basis of a large body of documents, facilitating access to and reuse of extant work, and bridging between the formal academic world and areas such as traditional and social media. Jisc have funded a number of projects, including NaCTem (the National Centre for Text Mining) and the ResDis programme. Contents are developed from workshop submissions and invited contributions, including: Legal considerations in te...

  17. EMiT: a process mining tool

    NARCIS (Netherlands)

    Dongen, van B.F.; Aalst, van der W.M.P.; Cortadella, J.; Reisig, W.

    2004-01-01

    Process mining offers a way to distill process models from event logs originating from transactional systems in logistics, banking, e-business, health-care, etc. The algorithms used for process mining are complex and in practise large logs are needed to derive a high-quality process model. To

  18. Data Mining in the Context of Monitoring Mt Etna, Italy

    Science.gov (United States)

    Aliotta, Marco; Cassisi, Carmelo; D'Agostino, Marcello; Falsaperla, Susanna; Ferrari, Ferruccio; Langer, Horst; Messina, Alfio; Montalto, Placido; Reitano, Danilo; Spampinato, Salvatore

    2015-04-01

    The persistent volcanic activity of Mt Etna makes the continuous monitoring of multidisciplinary data a first-class issue. Indeed, the monitoring systems rapidly accumulate huge quantity of data, arising specific problems of andling and interpretation. In order to respond to these problems, the INGV staff has developed a number of software tools for data mining. These tools have the scope of identifying structures in the data that can be related to volcanic activity, furnishing criteria for the identification of precursory scenarios. In particular, we use methods of clustering and classification in which data are divided into groups according to a-priori-defined measures of similarity or distance. Data groups may assume various shapes, such as convex clouds or complex concave bodies.The "KKAnalysis" software package is a basket of clustering methods. Currently, it is one of the key techniques of the tremor-based automatic alarm systems of INGV Osservatorio Etneo. It exploits both Self-Organizing Maps and Fuzzy Clustering. Beside seismic data, the software has been applied to the geochemical composition of eruptive products as well as a combined analysis of gas-emission (radon) and seismic data. The "DBSCAN" package exploits a concept based on density-based clustering. This method allows discovering clusters with arbitrary shape. Clusters are defined as dense regions of objects in the data space separated by regions of low density. In DBSCAN a cluster grows as long as the density within a group of objects exceeds some threshold. In the context of volcano monitoring, the method is particularly promising in the recognition of ash particles as they have a rather irregular shape. The "MOTIF" software allows us to identify typical waveforms in time series, outperforming methods like cross-correlation that entail a high computational effort. MOTIF can recognize the non-imilarity of two patterns on a small number of data points without going through the whole length of

  19. Accounting and Financial Data Analysis Data Mining Tools

    Directory of Open Access Journals (Sweden)

    Diana Elena Codreanu

    2011-05-01

    Full Text Available Computerized accounting systems in recent years have seen an increase in complexity due to thecompetitive economic environment but with the help of data analysis solutions such as OLAP and DataMining can be a multidimensional data analysis, can detect the fraud and can discover knowledge hidden indata, ensuring such information is useful for decision making within the organization. In the literature thereare many definitions for data mining but all boils down to same idea: the process takes place to extract newinformation from large data collections, information without the aid of data mining tools would be verydifficult to obtain. Information obtained by data mining process has the advantage that only respond to thequestion of what happens but at the same time argue and show why certain things are happening. In this paperwe wish to present advanced techniques for analysis and exploitation of data stored in a multidimensionaldatabase.

  20. Data Mining Tools Make Flights Safer, More Efficient

    Science.gov (United States)

    2014-01-01

    A small data mining team at Ames Research Center developed a set of algorithms ideal for combing through flight data to find anomalies. Dallas-based Southwest Airlines Co. signed a Space Act Agreement with Ames in 2011 to access the tools, helping the company refine its safety practices, improve its safety reviews, and increase flight efficiencies.

  1. Use of geoprocessing tools in uranium mining: volume estimation of sterile piles from the Osamu Utsumi Mine of INB / Caldas

    International Nuclear Information System (INIS)

    Ferreira, A.M.; Menezes, P.H.B.J.; Alberti, H.L.C.; Silva, N.C. da; Goda, R.T.

    2017-01-01

    The determination of the volumes of the sterile piles generated in the uranium mining and their respective characterization is of extreme importance for the management of mining wastes and future decommissioning actions of a nuclear facility. With the development of information technology, it becomes possible to simulate different scenarios in a computational environment, being able to store, represent and process data from existing information. In the industrial mining context, the sterile is represented with rocky materials of different granulometries and with ore content below the cut content determined by the industrial process. In this sense, the present work has the objective of calculating the volume of the sterile stacks of the Osamu Utsumi uranium mine of INB - Nuclear Industries of Brazil / Caldas. The MOU was officially inaugurated in 1977 and operated until 1995, where 1,200 tons of U 2 O 3 were produced generating about 94.5 x 106 tons of sterile material containing low levels of radioactive material and pyrite. The methodology for the development of this work initially involves integration approaches between the Geographic Information System (GIS) and terrain modeling for the sterile piles called BF4 and BF8. The results obtained were compared with the existing literature, translating the importance of GIS as a tool in the management of wastes

  2. Statistical and Visualization Data Mining Tools for Foundry Production

    Directory of Open Access Journals (Sweden)

    M. Perzyk

    2007-07-01

    Full Text Available In recent years a rapid development of a new, interdisciplinary knowledge area, called data mining, is observed. Its main task is extracting useful information from previously collected large amount of data. The main possibilities and potential applications of data mining in manufacturing industry are characterized. The main types of data mining techniques are briefly discussed, including statistical, artificial intelligence, data base and visualization tools. The statistical methods and visualization methods are presented in more detail, showing their general possibilities, advantages as well as characteristic examples of applications in foundry production. Results of the author’s research are presented, aimed at validation of selected statistical tools which can be easily and effectively used in manufacturing industry. A performance analysis of ANOVA and contingency tables based methods, dedicated for determination of the most significant process parameters as well as for detection of possible interactions among them, has been made. Several numerical tests have been performed using simulated data sets, with assumed hidden relationships as well some real data, related to the strength of ductile cast iron, collected in a foundry. It is concluded that the statistical methods offer relatively easy and fairly reliable tools for extraction of that type of knowledge about foundry manufacturing processes. However, further research is needed, aimed at explanation of some imperfections of the investigated tools as well assessment of their validity for more complex tasks.

  3. Mathematical tools for data mining set theory, partial orders, combinatorics

    CERN Document Server

    Simovici, Dan A

    2014-01-01

    Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the firs

  4. Visualizing data mining results with the Brede tools

    Directory of Open Access Journals (Sweden)

    Finn A Nielsen

    2009-07-01

    Full Text Available A few neuroinformatics databases now exist that record results from neuroimaging studies in the form of brain coordinates in stereotaxic space. The Brede Toolbox was originally developed to extract, analyze and visualize data from one of them --- the BrainMap database. Since then the Brede Toolbox has expanded and now includes its own database with coordinates along with ontologies for brain regions and functions: The Brede Database. With Brede Toolbox and Database combined we setup automated workflows for extraction of data, mass meta-analytic data mining and visualizations. Most of the Web presence of the Brede Database is established by a single script executing a workflow involving these steps together with a final generation of Web pages with embedded visualizations and links to interactive three-dimensional models in the Virtual Reality Modeling Language. Apart from the Brede tools I briefly review alternate visualization tools and methods for Internet-based visualization and information visualization as well as portals for visualization tools.

  5. Potential and relevance of urban mining in the context of sustainable cities

    Directory of Open Access Journals (Sweden)

    Rachna Arora

    2017-09-01

    Full Text Available The objective of urban mining is the safeguarding of the environment and the promotion of resource conservation through reuse, recycling, and recovery of secondary resources from waste. Urban mining maximises the resource and economic value of the waste streams generated in urban spaces and will be a significant concept in the planning and designing of sustainable cities, making the process consistent with the sustainable development goals. This review article brings out comprehensive information on urban mining as a concept and its relevance to the Indian and international context as a source of secondary raw material.

  6. Development of the Writing Readiness Inventory Tool in Context (WRITIC)

    NARCIS (Netherlands)

    van Hartingsveldt, Margo J.; de Vries, Liesbeth; Cup, Edith HC; de Groot, Imelda JM; Nijhuis-van der Sanden, Maria WG

    2014-01-01

    This article describes the development of the Writing Readiness Inventory Tool in Context (WRITIC), a measurement evaluating writing readiness in Dutch kindergarten children (5 and 6 years old). Content validity was established through 10 expert evaluations in three rounds. Construct validity was

  7. Application of Modern Tools and Techniques for Mine Safety & Disaster Management

    Science.gov (United States)

    Kumar, Dheeraj

    2016-04-01

    The implementation of novel systems and adoption of improvised equipment in mines help mining companies in two important ways: enhanced mine productivity and improved worker safety. There is a substantial need for adoption of state-of-the-art automation technologies in the mines to ensure the safety and to protect health of mine workers. With the advent of new autonomous equipment used in the mine, the inefficiencies are reduced by limiting human inconsistencies and error. The desired increase in productivity at a mine can sometimes be achieved by changing only a few simple variables. Significant developments have been made in the areas of surface and underground communication, robotics, smart sensors, tracking systems, mine gas monitoring systems and ground movements etc. Advancement in information technology in the form of internet, GIS, remote sensing, satellite communication, etc. have proved to be important tools for hazard reduction and disaster management. This paper is mainly focused on issues pertaining to mine safety and disaster management and some of the recent innovations in the mine automations that could be deployed in mines for safe mining operations and for avoiding any unforeseen mine disaster.

  8. Using the HSE stress indicator tool in a military context.

    Science.gov (United States)

    Bridger, Robert S; Dobson, Karen; Davison, Hannah

    2016-01-01

    An assessment of the Health and Safety Executive's (HSE) stress indicator tool was conducted to determine whether it was suitable for use with Ministry of Defence (MoD) personnel. A total of 1031 respondents from the Army, Navy, Air Force and MoD civilians completed a questionnaire containing the HSE tool and supplementary measures of work-life balance, engagement, deployment, leave taken and hours of work. Six measures of adverse reaction to the stressors were also reported: perceptions of job stress, job stress and health, psychological strain, fatigue after work, work ability and quality of working life. The stressor scales, particularly the 'demands' and 'relationships' scales, were associated with adverse outcomes as was the work-life balance scale. The HSE tool had some validity when used with MoD personnel, but its content was too narrow. The content validity of the tool can be improved for use in a military context with the addition of a 'work-life balance' scale'. The HSE stress tool was tested with a mixed sample of MoD employees. The ‘Demands and “Relationships” scales were associated with adverse outcomes. An additional Work–Life Balance’ scale improved the content validity, demonstrating the importance of assessing the psychometric qualities of scales when used within particular contexts to ensure validity.

  9. Development and assessment of the Alberta Context Tool.

    Science.gov (United States)

    Estabrooks, Carole A; Squires, Janet E; Cummings, Greta G; Birdsell, Judy M; Norton, Peter G

    2009-12-15

    The context of healthcare organizations such as hospitals is increasingly accepted as having the potential to influence the use of new knowledge. However, the mechanisms by which the organizational context influences evidence-based practices are not well understood. Current measures of organizational context lack a theory-informed approach, lack construct clarity and generally have modest psychometric properties. This paper presents the development and initial psychometric validation of the Alberta Context Tool (ACT), an eight dimension measure of organizational context for healthcare settings. Three principles guided the development of the ACT: substantive theory, brevity, and modifiability. The Promoting Action on Research Implementation in Health Services (PARiHS) framework and related literature were used to guide selection of items in the ACT. The ACT was required to be brief enough to be tolerated in busy and resource stretched work settings and to assess concepts of organizational context that were potentially modifiable. The English version of the ACT was completed by 764 nurses (752 valid responses) working in seven Canadian pediatric care hospitals as part of its initial validation. Cronbach's alpha, exploratory factor analysis, analysis of variance, and tests of association were used to assess instrument reliability and validity. Factor analysis indicated a 13-factor solution (accounting for 59.26% of the variance in 'organizational context'). The composition of the factors was similar to those originally conceptualized. Cronbach's alpha for the 13 factors ranged from .54 to .91 with 4 factors performing below the commonly accepted alpha cut off of .70. Bivariate associations between instrumental research utilization levels (which the ACT was developed to predict) and the ACT's 13 factors were statistically significant at the 5% level for 12 of the 13 factors. Each factor also showed a trend of increasing mean score ranging from the lowest level to the

  10. Development and assessment of the Alberta Context Tool

    Directory of Open Access Journals (Sweden)

    Birdsell Judy M

    2009-12-01

    Full Text Available Abstract Background The context of healthcare organizations such as hospitals is increasingly accepted as having the potential to influence the use of new knowledge. However, the mechanisms by which the organizational context influences evidence-based practices are not well understood. Current measures of organizational context lack a theory-informed approach, lack construct clarity and generally have modest psychometric properties. This paper presents the development and initial psychometric validation of the Alberta Context Tool (ACT, an eight dimension measure of organizational context for healthcare settings. Methods Three principles guided the development of the ACT: substantive theory, brevity, and modifiability. The Promoting Action on Research Implementation in Health Services (PARiHS framework and related literature were used to guide selection of items in the ACT. The ACT was required to be brief enough to be tolerated in busy and resource stretched work settings and to assess concepts of organizational context that were potentially modifiable. The English version of the ACT was completed by 764 nurses (752 valid responses working in seven Canadian pediatric care hospitals as part of its initial validation. Cronbach's alpha, exploratory factor analysis, analysis of variance, and tests of association were used to assess instrument reliability and validity. Results Factor analysis indicated a 13-factor solution (accounting for 59.26% of the variance in 'organizational context'. The composition of the factors was similar to those originally conceptualized. Cronbach's alpha for the 13 factors ranged from .54 to .91 with 4 factors performing below the commonly accepted alpha cut off of .70. Bivariate associations between instrumental research utilization levels (which the ACT was developed to predict and the ACT's 13 factors were statistically significant at the 5% level for 12 of the 13 factors. Each factor also showed a trend of

  11. A Tools-Based Approach to Teaching Data Mining Methods

    Science.gov (United States)

    Jafar, Musa J.

    2010-01-01

    Data mining is an emerging field of study in Information Systems programs. Although the course content has been streamlined, the underlying technology is still in a state of flux. The purpose of this paper is to describe how we utilized Microsoft Excel's data mining add-ins as a front-end to Microsoft's Cloud Computing and SQL Server 2008 Business…

  12. Environmental impact statement - an effective tool for successful mine design

    International Nuclear Information System (INIS)

    Sinha, A.K.

    1996-01-01

    Mining is a hazardous operation which must be designed to succeed under very unpredictable environmental, geological and marketing conditions over a committed life of thirty years or longer. It is well-established by now that mining has tremendous social, economic and environmental impacts on society in general and on local communities in particular. Mining's image has begun to improve with effective hazard controls and property reclamation through improved mine design and restoration plans. Much of the credit for this achievement should go to Environmental Impact Statement and related permitting requirements for mining projects. An Environmental Impact Statement with respect to almost every type of mining project is now frequently required by major banks, and other funding agencies, governmental agencies and/or citizen groups involved in the permitting process. This impact statement ensures that the proposed project has the potential to succeed under all foreseeable environmental, geological and marketing problems throughout its projected life and to guarantee the return of the initial capital with interest. In short, the impact statement offers assurance that the final project will culminate with positive environmental and social impacts. The relevance and contributions of Environmental Impact Statements in mine design, as well as their applications and development procedures are presented. 3 refs., 8 figs

  13. Data Mining and Knowledge Discovery tools for exploiting big Earth-Observation data

    Science.gov (United States)

    Espinoza Molina, D.; Datcu, M.

    2015-04-01

    The continuous increase in the size of the archives and in the variety and complexity of Earth-Observation (EO) sensors require new methodologies and tools that allow the end-user to access a large image repository, to extract and to infer knowledge about the patterns hidden in the images, to retrieve dynamically a collection of relevant images, and to support the creation of emerging applications (e.g.: change detection, global monitoring, disaster and risk management, image time series, etc.). In this context, we are concerned with providing a platform for data mining and knowledge discovery content from EO archives. The platform's goal is to implement a communication channel between Payload Ground Segments and the end-user who receives the content of the data coded in an understandable format associated with semantics that is ready for immediate exploitation. It will provide the user with automated tools to explore and understand the content of highly complex images archives. The challenge lies in the extraction of meaningful information and understanding observations of large extended areas, over long periods of time, with a broad variety of EO imaging sensors in synergy with other related measurements and data. The platform is composed of several components such as 1.) ingestion of EO images and related data providing basic features for image analysis, 2.) query engine based on metadata, semantics and image content, 3.) data mining and knowledge discovery tools for supporting the interpretation and understanding of image content, 4.) semantic definition of the image content via machine learning methods. All these components are integrated and supported by a relational database management system, ensuring the integrity and consistency of Terabytes of Earth Observation data.

  14. Dealing with uncertainties in the context of post mining hazard evaluation

    OpenAIRE

    Cauvin , Maxime; Salmon , Romuald; Verdel , Thierry

    2008-01-01

    International audience; Risk analyses related to a past mining activity are generally performed in a strong context in uncertainties. A PhD Thesis has been undertaken in 2004 in order to draw up solutions to take into account these uncertainties in the practice. The possibility of elaborating a more quantified evaluation of risk has also been discussed, and in particular the contribution that probabilistic methods may brought to an analysis. This paper summarizes the main results of the Thesi...

  15. Uncoolness factor of collaborative Web Mining Tools (WMT

    Directory of Open Access Journals (Sweden)

    Juan Luis Chulilla

    2009-12-01

    Full Text Available The recent development of social mining is a useful and direct analogy to talking about the less visible part of the adoption of successive waves of social software. The striking fact of visibility decrease as each type of social software matures should be taken into account for any comprehensive analysis of the relation between collectives and Internet technologies. One of the main results of this relation is the social data mining of Internet, which both gives sense to virtual communities and produces contents via feedback. We are just at the beginning of the adoption of new ways of social data mining, which will be significant when grow mature and become invisible.

  16. MeSHmap: a text mining tool for MEDLINE.

    OpenAIRE

    Srinivasan, P.

    2001-01-01

    Our research goal is to explore text mining from the metadata included in MEDLINE documents. We present MeSHmap our prototype text mining system that exploits the MeSH indexing accompanying MEDLINE records. MeSHmap supports searches via PubMed followed by user driven exploration of the MeSH terms and subheadings in the retrieved set. The potential of the system goes beyond text retrieval. It may also be used to compare entities of the same type such as pairs of drugs or pairs of procedures et...

  17. Reversed mining and reversed-reversed mining: the irrational context of geological disposal of nuclear waste

    Science.gov (United States)

    van Loon, A. J.

    2000-06-01

    Man does not only extract material from the Earth but increasingly uses the underground for storage and disposal purposes. One of the materials that might be disposed of this way is high-level nuclear waste. The development of safe disposal procedures, the choice of suitable host rocks, and the design of underground facilities have taken much time and money, but commissions in several countries have presented reports showing that — and how — safe geological disposal will be possible in such a way that definite isolation from the biosphere is achieved. Political views have changed in the past few years, however, and there is a strong tendency now to require that the high-level waste disposed of will be retrievable. Considering the underlying arguments for isolation from the biosphere, and also considering waste policy in general, this provides an irrational context. The development of new procedures and the design of new disposal facilities that allow retrieval will take much time again. A consequence may be that the high-active, heat-generating nuclear waste will be stored temporarily for a much longer time than objectively desirable. The delay in disposal and the counterproductive requirement of retrievability are partly due to the fact that earth-science organisations have failed to communicate in the way they should, possibly fearing public (and financial) reactions if taking a position that is (was?) considered as politically incorrect. Such an attitude should not be maintained in modern society, which has the right to be informed reliably by the scientific community.

  18. Text mining and visualization case studies using open-source tools

    CERN Document Server

    Chisholm, Andrew

    2016-01-01

    Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, social media sites, and message boards. Each chapter presents a case study that you can follow as part of a step-by-step, reproducible example. You can also easily apply and extend the techniques to other problems. All the examples are available on a supplementary website. The book shows you how to exploit your text data, offering successful application examples and blueprints for you to tackle your text mining tasks and benefit from open and freely available tools. It gets you up to date on the latest and most powerful tools, the data mining process, and specific text mining activities.

  19. Maternal vaccination and preterm birth: using data mining as a screening tool

    DEFF Research Database (Denmark)

    Orozova-Bekkevold, Ivanka; Jensen, Henrik; Stensballe, Lone

    2007-01-01

    Objective The main purpose of this study was to identify possible associations between medicines used in pregnancy and preterm deliveries using data mining as a screening tool. Settings Prospective cohort study. Methods We used data mining to identify possible correlates between preterm delivery...... measure Preterm birth, a delivery occurring before the 259th day of gestation (i.e., less than 37 full weeks). Results Data mining had indicated that maternal vaccination (among other factors) might be related to preterm birth. The following regression analysis showed that, the women who reported being...... further studies. Data mining, especially with additional refinements, may be a valuable and very efficient tool to screen large databases for relevant information which can be used in clinical and public health research....

  20. Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming.

    Science.gov (United States)

    Luna, Jose Maria; Pechenizkiy, Mykola; Del Jesus, Maria Jose; Ventura, Sebastian

    2017-09-25

    Real-world data usually comprise features whose interpretation depends on some contextual information. Such contextual-sensitive features and patterns are of high interest to be discovered and analyzed in order to obtain the right meaning. This paper formulates the problem of mining context-aware association rules, which refers to the search for associations between itemsets such that the strength of their implication depends on a contextual feature. For the discovery of this type of associations, a model that restricts the search space and includes syntax constraints by means of a grammar-based genetic programming methodology is proposed. Grammars can be considered as a useful way of introducing subjective knowledge to the pattern mining process as they are highly related to the background knowledge of the user. The performance and usefulness of the proposed approach is examined by considering synthetically generated datasets. A posteriori analysis on different domains is also carried out to demonstrate the utility of this kind of associations. For example, in educational domains, it is essential to identify and understand contextual and context-sensitive factors that affect overall and individual student behavior and performance. The results of the experiments suggest that the approach is feasible and it automatically identifies interesting context-aware associations from real-world datasets.

  1. Data mining practical machine learning tools and techniques

    CERN Document Server

    Witten, Ian H

    2005-01-01

    As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same

  2. Visualizing data mining results with the Brede tools

    DEFF Research Database (Denmark)

    Nielsen, Finn Årup

    2009-01-01

    has expanded and now includes its own database with coordinates along with ontologies for brain regions and functions: The Brede Database. With Brede Toolbox and Database combined we setup automated workflows for extraction of data, mass meta-analytic data mining and visualizations. Most of the Web......A few neuroinformatics databases now exist that record results from neuroimaging studies in the form of brain coordinates in stereotaxic space. The Brede Toolbox was originally developed to extract, analyze and visualize data from one of them --- the BrainMap database. Since then the Brede Toolbox...

  3. Tools for Export Promotion in the Context of Globalization

    Directory of Open Access Journals (Sweden)

    Pugachevska Kateryna S.

    2017-12-01

    Full Text Available A comparative analysis of the rate of growth in exports of goods and GDP is carried out, and goods exports to GDP ratio in the context of the developed countries, developing countries, and countries with the transition economy is calculated. This allows to make a conclusion about a decrease in importance of exports as a key engine of the world economic growth during the past years. The legal basis of the WTO’s activities in terms of state support for exports is described. The main reasons for the emergence of a conflict of interests between countries with different levels of economic development concerning the use of individual protectionist barriers are revealed. Potential long-term consequences of the growth of export orientation under conditions of openness of national economies are identified. The measures and tools of the country’s export promotion in foreign markets are studied. It is grounded that under conditions of destabilization of global trade regulators, effective export promotion is a mechanism for increasing the competitiveness of the national economy of Ukraine. Prospects for further research in this area are the determination of instruments to stimulate exports, which have the greatest impact on the export orientation of certain economic activities.

  4. Application of Quality Management Tools for Evaluating the Failure Frequency of Cutter-Loader and Plough Mining Systems

    Science.gov (United States)

    Biały, Witold

    2017-06-01

    Failure frequency in the mining process, with a focus on the mining machine, has been presented and illustrated by the example of two coal-mines. Two mining systems have been subjected to analysis: a cutter-loader and a plough system. In order to reduce costs generated by failures, maintenance teams should regularly make sure that the machines are used and operated in a rational and effective way. Such activities will allow downtimes to be reduced, and, in consequence, will increase the effectiveness of a mining plant. The evaluation of mining machines' failure frequency contained in this study has been based on one of the traditional quality management tools - the Pareto chart.

  5. Cultural Context In Process Of Mining Data From Social Media – Recommendations Based On Literature Review

    Directory of Open Access Journals (Sweden)

    Joanna Michalak

    2017-05-01

    Full Text Available Social media is nothing else than a modern communication channel that carry a lot of advantages, such as their reach or range. Social media has such a big power of its reach that a single post, tweet, or "broad" start to matter globally. With globalization, we have seen an increase in usage of social media everywhere. This means that communication is being conducted across the borders or different countries, continents or even cultures. It is an desirable effect, however the social media user across the world differs in respect to their culture and data shows that significant differences exist in a way people in the world social media. However, in order to be well prepared to dig in social media, the question should be post whether the cultural context affects the activity of users. If so, it is appropriate to prepare data filters to include some specific criteria. In first part authors apply the Cross - Industry Standard Process for Data Mining (CRISP-DM in social media data to specify the process of data analysis. Second part focuses on recommendations about cultural context in mining social media.

  6. Designing tools to track health and well-being in mining regions of India

    International Nuclear Information System (INIS)

    Noronha, Ligia

    2001-01-01

    The objective of this article is to illustrate the use of a framework to design a set of tools to assess progress towards improved well-being in a mining region. The framework uses an ecosystem approach to assess human well-being and is sensitive to the needs, concerns, and interests of at least the major stakeholders: government, company and community. The framework seeks to be useful to stakeholders and to be of policy relevance. The article presents the proposed framework with illustrations from a case study in Goa, India. Mining in Goa has had both positive and negative impacts on the well-being of local people. These impacts vary depending on the age of mining. In areas where mining is well established and active, the economic impacts are more positive. The social and environmental impacts are more negative in the regions where mining is new or is closing down. These characteristics generate their own set of issues of concern to stakeholders. Based on these issues, three types of tools to assess current well-being and progress towards improved well-being are suggested: (i) Indicators based on identified issues using the Pressure-State-Response (PSR) framework; (ii) A quality of life instrument, which can be developed either as an aggregate measure of well-being or in a more limited way to capture the satisfaction of the community with their living conditions; (iii) A regional income accounting framework to assess whether the mining region is able to continue functioning into the indefinite future without being forced into a decline through the degradation of its key natural, social, and human assets and resources. The article suggests that if these tools are used regularly, an information system will emerge that will, over time, provide markers of what mining is doing to the region and to the local communities. (author)

  7. Context Mining of Sedentary Behaviour for Promoting Self-Awareness Using a Smartphone.

    Science.gov (United States)

    Fahim, Muhammad; Baker, Thar; Khattak, Asad Masood; Shah, Babar; Aleem, Saiqa; Chow, Francis

    2018-03-15

    Sedentary behaviour is increasing due to societal changes and is related to prolonged periods of sitting. There is sufficient evidence proving that sedentary behaviour has a negative impact on people's health and wellness. This paper presents our research findings on how to mine the temporal contexts of sedentary behaviour by utilizing the on-board sensors of a smartphone. We use the accelerometer sensor of the smartphone to recognize user situations (i.e., still or active). If our model confirms that the user context is still, then there is a high probability of being sedentary. Then, we process the environmental sound to recognize the micro-context, such as working on a computer or watching television during leisure time. Our goal is to reduce sedentary behaviour by suggesting preventive interventions to take short breaks during prolonged sitting to be more active. We achieve this goal by providing the visualization to the user, who wants to monitor his/her sedentary behaviour to reduce unhealthy routines for self-management purposes. The main contribution of this paper is two-fold: (i) an initial implementation of the proposed framework supporting real-time context identification; (ii) testing and evaluation of the framework, which suggest that our application is capable of substantially reducing sedentary behaviour and assisting users to be active.

  8. Acidity titration curves - a versatile tool for the characterisation of acidic mine waste water

    International Nuclear Information System (INIS)

    Fyson, A.

    2000-01-01

    Acidity titrations with NaOH are valuable tools for characterisation of acidic mine waters. - Titrations can be used to estimate metal concentrations. - Titrations can be carried out in the field, minimising changes in water chemistry due to sample handling time and procedure. (orig.)

  9. PPI finder: a mining tool for human protein-protein interactions.

    Directory of Open Access Journals (Sweden)

    Min He

    Full Text Available BACKGROUND: The exponential increase of published biomedical literature prompts the use of text mining tools to manage the information overload automatically. One of the most common applications is to mine protein-protein interactions (PPIs from PubMed abstracts. Currently, most tools in mining PPIs from literature are using co-occurrence-based approaches or rule-based approaches. Hybrid methods (frame-based approaches by combining these two methods may have better performance in predicting PPIs. However, the predicted PPIs from these methods are rarely evaluated by known PPI databases and co-occurred terms in Gene Ontology (GO database. METHODOLOGY/PRINCIPAL FINDINGS: We here developed a web-based tool, PPI Finder, to mine human PPIs from PubMed abstracts based on their co-occurrences and interaction words, followed by evidences in human PPI databases and shared terms in GO database. Only 28% of the co-occurred pairs in PubMed abstracts appeared in any of the commonly used human PPI databases (HPRD, BioGRID and BIND. On the other hand, of the known PPIs in HPRD, 69% showed co-occurrences in the literature, and 65% shared GO terms. CONCLUSIONS: PPI Finder provides a useful tool for biologists to uncover potential novel PPIs. It is freely accessible at http://liweilab.genetics.ac.cn/tm/.

  10. Data mining of text as a tool in authorship attribution

    Science.gov (United States)

    Visa, Ari J. E.; Toivonen, Jarmo; Autio, Sami; Maekinen, Jarno; Back, Barbro; Vanharanta, Hannu

    2001-03-01

    It is common that text documents are characterized and classified by keywords that the authors use to give them. Visa et al. have developed a new methodology based on prototype matching. The prototype is an interesting document or a part of an extracted, interesting text. This prototype is matched with the document database of the monitored document flow. The new methodology is capable of extracting the meaning of the document in a certain degree. Our claim is that the new methodology is also capable of authenticating the authorship. To verify this claim two tests were designed. The test hypothesis was that the words and the word order in the sentences could authenticate the author. In the first test three authors were selected. The selected authors were William Shakespeare, Edgar Allan Poe, and George Bernard Shaw. Three texts from each author were examined. Every text was one by one used as a prototype. The two nearest matches with the prototype were noted. The second test uses the Reuters-21578 financial news database. A group of 25 short financial news reports from five different authors are examined. Our new methodology and the interesting results from the two tests are reported in this paper. In the first test, for Shakespeare and for Poe all cases were successful. For Shaw one text was confused with Poe. In the second test the Reuters-21578 financial news were identified by the author relatively well. The resolution is that our text mining methodology seems to be capable of authorship attribution.

  11. HC StratoMineR: A web-based tool for the rapid analysis of high content datasets

    NARCIS (Netherlands)

    Omta, W.; Heesbeen, R. van; Pagliero, R.; Velden, L. van der; Lelieveld, D.; Nellen, M.; Kramer, M.; Yeong, M.; Saeidi, A.; Medema, R.; Spruit, M.; Brinkkemper, S.; Klumperman, J.; Egan, D.

    2016-01-01

    High-content screening (HCS) can generate large multidimensional datasets and when aligned with the appropriate data mining tools, it can yield valuable insights into the mechanism of action of bioactive molecules. However, easy-to-use data mining tools are not widely available, with the result that

  12. HC StratoMineR : A Web-Based Tool for the Rapid Analysis of High-Content Datasets

    NARCIS (Netherlands)

    Omta, Wienand A; van Heesbeen, Roy G; Pagliero, Romina J; van der Velden, Lieke M; Lelieveld, Daphne; Nellen, Mehdi; Kramer, Maik; Yeong, Marley; Saeidi, Amir M; Medema, Rene H; Spruit, Marco; Brinkkemper, Sjaak; Klumperman, Judith; Egan, David A

    2016-01-01

    High-content screening (HCS) can generate large multidimensional datasets and when aligned with the appropriate data mining tools, it can yield valuable insights into the mechanism of action of bioactive molecules. However, easy-to-use data mining tools are not widely available, with the result that

  13. Context sensitive health informatics: concepts, methods and tools

    NARCIS (Netherlands)

    Kuziemsky, Craig; Nøhr, Christian; Aarts, Jos; Jaspers, Monique; Beuscart-Zephir, Marie-Catherine

    2013-01-01

    Context is a key consideration when designing and evaluating health information technology (HIT) and cannot be overstated. Unintended consequences are common post HIT implementation and even well designed technology may not achieve desired outcomes because of contextual issues. While context should

  14. tmBioC: improving interoperability of text-mining tools with BioC.

    Science.gov (United States)

    Khare, Ritu; Wei, Chih-Hsuan; Mao, Yuqing; Leaman, Robert; Lu, Zhiyong

    2014-01-01

    The lack of interoperability among biomedical text-mining tools is a major bottleneck in creating more complex applications. Despite the availability of numerous methods and techniques for various text-mining tasks, combining different tools requires substantial efforts and time owing to heterogeneity and variety in data formats. In response, BioC is a recent proposal that offers a minimalistic approach to tool interoperability by stipulating minimal changes to existing tools and applications. BioC is a family of XML formats that define how to present text documents and annotations, and also provides easy-to-use functions to read/write documents in the BioC format. In this study, we introduce our text-mining toolkit, which is designed to perform several challenging and significant tasks in the biomedical domain, and repackage the toolkit into BioC to enhance its interoperability. Our toolkit consists of six state-of-the-art tools for named-entity recognition, normalization and annotation (PubTator) of genes (GenNorm), diseases (DNorm), mutations (tmVar), species (SR4GN) and chemicals (tmChem). Although developed within the same group, each tool is designed to process input articles and output annotations in a different format. We modify these tools and enable them to read/write data in the proposed BioC format. We find that, using the BioC family of formats and functions, only minimal changes were required to build the newer versions of the tools. The resulting BioC wrapped toolkit, which we have named tmBioC, consists of our tools in BioC, an annotated full-text corpus in BioC, and a format detection and conversion tool. Furthermore, through participation in the 2013 BioCreative IV Interoperability Track, we empirically demonstrate that the tools in tmBioC can be more efficiently integrated with each other as well as with external tools: Our experimental results show that using BioC reduces >60% in lines of code for text-mining tool integration. The tmBioC toolkit

  15. Affordable non-traditional source data mining for context assessment to improve distributed fusion system robustness

    Science.gov (United States)

    Bowman, Christopher; Haith, Gary; Steinberg, Alan; Morefield, Charles; Morefield, Michael

    2013-05-01

    This paper describes methods to affordably improve the robustness of distributed fusion systems by opportunistically leveraging non-traditional data sources. Adaptive methods help find relevant data, create models, and characterize the model quality. These methods also can measure the conformity of this non-traditional data with fusion system products including situation modeling and mission impact prediction. Non-traditional data can improve the quantity, quality, availability, timeliness, and diversity of the baseline fusion system sources and therefore can improve prediction and estimation accuracy and robustness at all levels of fusion. Techniques are described that automatically learn to characterize and search non-traditional contextual data to enable operators integrate the data with the high-level fusion systems and ontologies. These techniques apply the extension of the Data Fusion & Resource Management Dual Node Network (DNN) technical architecture at Level 4. The DNN architecture supports effectively assessment and management of the expanded portfolio of data sources, entities of interest, models, and algorithms including data pattern discovery and context conformity. Affordable model-driven and data-driven data mining methods to discover unknown models from non-traditional and `big data' sources are used to automatically learn entity behaviors and correlations with fusion products, [14 and 15]. This paper describes our context assessment software development, and the demonstration of context assessment of non-traditional data to compare to an intelligence surveillance and reconnaissance fusion product based upon an IED POIs workflow.

  16. [Gender inequity in health in contexts of environmental risk from mining and industrial activity in Mexico].

    Science.gov (United States)

    Catalán-Vázquez, Minerva; Riojas-Rodríguez, Horacio

    2015-06-01

    Analyze how gender inequity manifests in contexts of poverty in different environmental risk scenarios in Mexico. Qualitative design based on six discussion groups and 54 in-depth interviews with women from six exposed communities: two to environmental manganese in a mining district, two in an industrial corridor, and two bordering a sanitary landfill. A document review of environmental and health studies in each area was done to relate them to the women's perspective on the problem. In the three case studies, by gender roles, women stay at home and do housework and, therefore, are subject to intense environmental exposure when carrying out their daily tasks, such as house cleaning. Interview and discussion group results were found to be related to epidemiological study results. In the case of the mining district, women's perceptions are consistent with study comments on adverse cognitive effects of manganese exposure. In all three cases, there are serious limitations on women's political participation in environmental risk management. Due to conditions of inequity, women are highly exposed to environmental health risks and their social participation in solving environmental problems is quite limited. These results have social and environmental policy implications in the areas studied, especially with regard to risk assessment, management, and communication.

  17. Context Sensitive Health Informatics: Concepts, Methods and Tools

    NARCIS (Netherlands)

    C. Kuziemsky (Craig); C. Nohr (Christian); J.E.C.M. Aarts (Jos); M.W.M. Jaspers (Monique); M-C. Beuscart-Zephir (Marie-Catherine)

    2013-01-01

    markdownabstract__Abstract__ Context is a key consideration when designing and evaluating health information technology (HIT) and cannot be overstated. Unintended consequences are common post HIT implementation and even well designed technology may not achieve desired outcomes because of

  18. Genomic Enzymology: Web Tools for Leveraging Protein Family Sequence-Function Space and Genome Context to Discover Novel Functions.

    Science.gov (United States)

    Gerlt, John A

    2017-08-22

    The exponentially increasing number of protein and nucleic acid sequences provides opportunities to discover novel enzymes, metabolic pathways, and metabolites/natural products, thereby adding to our knowledge of biochemistry and biology. The challenge has evolved from generating sequence information to mining the databases to integrating and leveraging the available information, i.e., the availability of "genomic enzymology" web tools. Web tools that allow identification of biosynthetic gene clusters are widely used by the natural products/synthetic biology community, thereby facilitating the discovery of novel natural products and the enzymes responsible for their biosynthesis. However, many novel enzymes with interesting mechanisms participate in uncharacterized small-molecule metabolic pathways; their discovery and functional characterization also can be accomplished by leveraging information in protein and nucleic acid databases. This Perspective focuses on two genomic enzymology web tools that assist the discovery novel metabolic pathways: (1) Enzyme Function Initiative-Enzyme Similarity Tool (EFI-EST) for generating sequence similarity networks to visualize and analyze sequence-function space in protein families and (2) Enzyme Function Initiative-Genome Neighborhood Tool (EFI-GNT) for generating genome neighborhood networks to visualize and analyze the genome context in microbial and fungal genomes. Both tools have been adapted to other applications to facilitate target selection for enzyme discovery and functional characterization. As the natural products community has demonstrated, the enzymology community needs to embrace the essential role of web tools that allow the protein and genome sequence databases to be leveraged for novel insights into enzymological problems.

  19. Online Analytical Processing (OLAP: A Fast and Effective Data Mining Tool for Gene Expression Databases

    Directory of Open Access Journals (Sweden)

    Alkharouf Nadim W.

    2005-01-01

    Full Text Available Gene expression databases contain a wealth of information, but current data mining tools are limited in their speed and effectiveness in extracting meaningful biological knowledge from them. Online analytical processing (OLAP can be used as a supplement to cluster analysis for fast and effective data mining of gene expression databases. We used Analysis Services 2000, a product that ships with SQLServer2000, to construct an OLAP cube that was used to mine a time series experiment designed to identify genes associated with resistance of soybean to the soybean cyst nematode, a devastating pest of soybean. The data for these experiments is stored in the soybean genomics and microarray database (SGMD. A number of candidate resistance genes and pathways were found. Compared to traditional cluster analysis of gene expression data, OLAP was more effective and faster in finding biologically meaningful information. OLAP is available from a number of vendors and can work with any relational database management system through OLE DB.

  20. Online analytical processing (OLAP): a fast and effective data mining tool for gene expression databases.

    Science.gov (United States)

    Alkharouf, Nadim W; Jamison, D Curtis; Matthews, Benjamin F

    2005-06-30

    Gene expression databases contain a wealth of information, but current data mining tools are limited in their speed and effectiveness in extracting meaningful biological knowledge from them. Online analytical processing (OLAP) can be used as a supplement to cluster analysis for fast and effective data mining of gene expression databases. We used Analysis Services 2000, a product that ships with SQLServer2000, to construct an OLAP cube that was used to mine a time series experiment designed to identify genes associated with resistance of soybean to the soybean cyst nematode, a devastating pest of soybean. The data for these experiments is stored in the soybean genomics and microarray database (SGMD). A number of candidate resistance genes and pathways were found. Compared to traditional cluster analysis of gene expression data, OLAP was more effective and faster in finding biologically meaningful information. OLAP is available from a number of vendors and can work with any relational database management system through OLE DB.

  1. Content Area Vocabulary Videos in Multiple Contexts: A Pedagogical Tool

    Science.gov (United States)

    Webb, C. Lorraine; Kapavik, Robin Robinson

    2015-01-01

    The authors challenged pre-service teachers to digitally define a social studies or mathematical vocabulary term in multiple contexts using a digital video camera. The researchers sought to answer the following questions: 1. How will creating a video for instruction affect pre-service teachers' attitudes about teaching with technology, if at all?…

  2. Using Data Mining Techniques Examination of the Middle School Students' Attitude towards Mathematics in the Context of Some Variables

    Science.gov (United States)

    Idil, Feriha Hande; Narli, Serkan; Aksoy, Esra

    2016-01-01

    The aim of this study is to examine middle school students' attitude towards mathematics in the context of their mathematic learning preferences using data mining which is data analysis methodology that has been successfully used in different areas including educational domains. "How do I actually learn?" questionnaire and attitude scale…

  3. Computer assisted audit tools and techniques in real world: CAATT's applications and approaches in context

    OpenAIRE

    Pedrosa, I.; Costa, C. J.

    2012-01-01

    Nowadays, Computer Aided Audit Tools (and Techniques’) support almost all audit processes concerning data extraction and analysis. These tools were firstly aimed to support financial auditing processes. However, their scope is beyond this, therefore, we present case studies and good practices in an academic context. Although in large auditing companies Audit Tools to do data extraction and analysis are very common and applied in several contexts, we realized that is not easy to find practical...

  4. KAIKObase: An integrated silkworm genome database and data mining tool

    Directory of Open Access Journals (Sweden)

    Nagaraju Javaregowda

    2009-10-01

    Full Text Available Abstract Background The silkworm, Bombyx mori, is one of the most economically important insects in many developing countries owing to its large-scale cultivation for silk production. With the development of genomic and biotechnological tools, B. mori has also become an important bioreactor for production of various recombinant proteins of biomedical interest. In 2004, two genome sequencing projects for B. mori were reported independently by Chinese and Japanese teams; however, the datasets were insufficient for building long genomic scaffolds which are essential for unambiguous annotation of the genome. Now, both the datasets have been merged and assembled through a joint collaboration between the two groups. Description Integration of the two data sets of silkworm whole-genome-shotgun sequencing by the Japanese and Chinese groups together with newly obtained fosmid- and BAC-end sequences produced the best continuity (~3.7 Mb in N50 scaffold size among the sequenced insect genomes and provided a high degree of nucleotide coverage (88% of all 28 chromosomes. In addition, a physical map of BAC contigs constructed by fingerprinting BAC clones and a SNP linkage map constructed using BAC-end sequences were available. In parallel, proteomic data from two-dimensional polyacrylamide gel electrophoresis in various tissues and developmental stages were compiled into a silkworm proteome database. Finally, a Bombyx trap database was constructed for documenting insertion positions and expression data of transposon insertion lines. Conclusion For efficient usage of genome information for functional studies, genomic sequences, physical and genetic map information and EST data were compiled into KAIKObase, an integrated silkworm genome database which consists of 4 map viewers, a gene viewer, and sequence, keyword and position search systems to display results and data at the level of nucleotide sequence, gene, scaffold and chromosome. Integration of the

  5. SA-Search: a web tool for protein structure mining based on a Structural Alphabet

    OpenAIRE

    Guyon, Frédéric; Camproux, Anne-Claude; Hochez, Joëlle; Tufféry, Pierre

    2004-01-01

    SA-Search is a web tool that can be used to mine for protein structures and extract structural similarities. It is based on a hidden Markov model derived Structural Alphabet (SA) that allows the compression of three-dimensional (3D) protein conformations into a one-dimensional (1D) representation using a limited number of prototype conformations. Using such a representation, classical methods developed for amino acid sequences can be employed. Currently, SA-Search permits the performance of f...

  6. The institutional regulation of the sustainability of water resources within mining contexts: accountability and plurality

    NARCIS (Netherlands)

    Sosa Landeo, M.; Zwarteveen, M.Z.

    2014-01-01

    This article reviews recent literature on water and mining and uses illustrations from a large gold mine, Yanacocha, operating in Peru, to assess the effectiveness of institutional mechanisms for safeguarding the sustainability of water resources (and water-based ecosystems) in mining regions. The

  7. Development of a multilevel health and safety climate survey tool within a mining setting.

    Science.gov (United States)

    Parker, Anthony W; Tones, Megan J; Ritchie, Gabrielle E

    2017-09-01

    This study aimed to design, implement and evaluate the reliability and validity of a multifactorial and multilevel health and safety climate survey (HSCS) tool with utility in the Australian mining setting. An 84-item questionnaire was developed and pilot tested on a sample of 302 Australian miners across two open cut sites. A 67-item, 10 factor solution was obtained via exploratory factor analysis (EFA) representing prioritization and attitudes to health and safety across multiple domains and organizational levels. Each factor demonstrated a high level of internal reliability, and a series of ANOVAs determined a high level of consistency in responses across the workforce, and generally irrespective of age, experience or job category. Participants tended to hold favorable views of occupational health and safety (OH&S) climate at the management, supervisor, workgroup and individual level. The survey tool demonstrated reliability and validity for use within an open cut Australian mining setting and supports a multilevel, industry specific approach to OH&S climate. Findings suggested a need for mining companies to maintain high OH&S standards to minimize risks to employee health and safety. Future research is required to determine the ability of this measure to predict OH&S outcomes and its utility within other mine settings. As this tool integrates health and safety, it may have benefits for assessment, monitoring and evaluation in the industry, and improving the understanding of how health and safety climate interact at multiple levels to influence OH&S outcomes. Copyright © 2017 National Safety Council and Elsevier Ltd. All rights reserved.

  8. Mining

    Directory of Open Access Journals (Sweden)

    Khairullah Khan

    2014-09-01

    Full Text Available Opinion mining is an interesting area of research because of its applications in various fields. Collecting opinions of people about products and about social and political events and problems through the Web is becoming increasingly popular every day. The opinions of users are helpful for the public and for stakeholders when making certain decisions. Opinion mining is a way to retrieve information through search engines, Web blogs and social networks. Because of the huge number of reviews in the form of unstructured text, it is impossible to summarize the information manually. Accordingly, efficient computational methods are needed for mining and summarizing the reviews from corpuses and Web documents. This study presents a systematic literature survey regarding the computational techniques, models and algorithms for mining opinion components from unstructured reviews.

  9. U-Compare: share and compare text mining tools with UIMA

    Science.gov (United States)

    Kano, Yoshinobu; Baumgartner, William A.; McCrohon, Luke; Ananiadou, Sophia; Cohen, K. Bretonnel; Hunter, Lawrence; Tsujii, Jun'ichi

    2009-01-01

    Summary: Due to the increasing number of text mining resources (tools and corpora) available to biologists, interoperability issues between these resources are becoming significant obstacles to using them effectively. UIMA, the Unstructured Information Management Architecture, is an open framework designed to aid in the construction of more interoperable tools. U-Compare is built on top of the UIMA framework, and provides both a concrete framework for out-of-the-box text mining and a sophisticated evaluation platform allowing users to run specific tools on any target text, generating both detailed statistics and instance-based visualizations of outputs. U-Compare is a joint project, providing the world's largest, and still growing, collection of UIMA-compatible resources. These resources, originally developed by different groups for a variety of domains, include many famous tools and corpora. U-Compare can be launched straight from the web, without needing to be manually installed. All U-Compare components are provided ready-to-use and can be combined easily via a drag-and-drop interface without any programming. External UIMA components can also simply be mixed with U-Compare components, without distinguishing between locally and remotely deployed resources. Availability: http://u-compare.org/ Contact: kano@is.s.u-tokyo.ac.jp PMID:19414535

  10. Data-Mining – A Valuable Managerial Tool for Improving Power Plants Efficiency

    Directory of Open Access Journals (Sweden)

    Danubianu Mirela

    2014-05-01

    Full Text Available Energy and environment are top priorities for the EU’s Europe 2020 Strategy. Both fields imply complex approaches and consistent investment. The paper presents an alternative to large investments to improve the efficiencies of existing (outdated power installations: namely the use of data-mining techniques for analysing existing operational data. Data-mining is based upon exhaustive analysis of operational records, inferring high-value information by simply processing records with advanced mathematical / statistical tools. Results can be: assessment of the consistency of measurements, identification of new hardware needed for improving the quality of data, deducing the most efficient level for operation (internal benchmarking, correlation of consumptions with power/ heat production, of technical parameters with environmental impact, scheduling the optimal maintenance time, fuel stock optimization, simulating scenarios for equipment operation, anticipating periods of maximal stress of equipment, identification of medium and long term trends, planning and decision support for new investment, etc. The paper presents a data mining process carried out at the TERMICA - Suceava power plant. The analysis calls for a multidisciplinary approach, a complex team (experts in power&heat production, mechanics, environmental protection, economists, and last but not least IT experts and can be carried out with lower expenses than an investment in new equipment. Involvement of top management of the company is essential, being the driving force and motivation source for the data-mining team. The approach presented is self learning as once established, the data-mining analytical, modelling and simulation procedures and associated parameter databases can adjust themselves by absorbing and processing new relevant information and can be used on a long term basis for monitoring the performance of the installation, certifying the soundness of managerial measures taken

  11. Using Data Mining Techniques Examination of the Middle School Students’ Attitude towards Mathematics in the Context of Some Variables

    OpenAIRE

    Aksoy, Esra; Narli, Serkan; Idil, Feriha Hande

    2016-01-01

    The aim of this study is to examine middle school students’ attitude towards mathematics in the context of their mathematic learning preferences using data mining which is data analysis methodology that has been successfully used in different areas including educational domains. ‘How do I actually learn?’ questionnaire and attitude scale were applied to 702 middle school students studying in three different cities of Turkey. Demographic data (gender, grade level, parents’ education level, pre...

  12. Impact of mining on the female community: a perspective of female miners in the Indian context

    Energy Technology Data Exchange (ETDEWEB)

    Mrinal K. Ghose [Indian School of Mines, Dhanbad (India). Centre of Mining Environment

    2004-12-01

    India ranks among the top ten mineral producing nations in the world. This paper investigates mineral production and focuses on the total value of minerals produced in the country. However, mining is seen as one of the most 'masculine' of industries and it is believed that women play an insignificant role in it. The paper examines the employment and social perspectives of women in the mineral industry and overviews the Indian Mines Act for providing employment to female miners. It also investigates the employment of women in coal, lignite and metalliferous mines and discusses the impact of mining in the female community. The study reveals that women take part in mining in non-traditional activities and there is a tendency to conceal the fact that women comprise an important part of the work force. The paper highlights the socioeconomic characteristics of women as miners and on the productive roles they play in mining. It also reviews the prospect of female miners with more involvement in the industry and concludes that women's work in mines needs to be valued and enhanced. The paper suggests certain ways that this can be achieved, such as providing training, leading to ability-building, skill enhancement and improved safety in mines.

  13. From Intra-transaction to Generalized Inter-transaction: Landscaping Multidimensional Contexts in Association Rule Mining

    NARCIS (Netherlands)

    Li, Q; Feng, L.; Wong, A.K.Y.

    The problem of mining multidimensional inter-transactional association rules was recently introduced in [ACM Trans. Inform. Syst. 18(4) (2000) 423; Proc. of the ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery, Seattle, Washington, June 1998, p. 12:1]. It extends the

  14. Platinum and Gold Mining in South Africa: The Context of the Marikana Massacre.

    Science.gov (United States)

    Cairncross, Eugene; Kisting, Sophia

    2016-02-01

    Mining is a source of extraordinary wealth, but its benefits often do not accrue to the workers and communities most involved. This paper presents two case studies of mining in South Africa to reflect on the history and legacy of mining both through observation and through the voices of affected communities. Interviews and observations on field visits to the platinum and gold mining areas of South Africa in the immediate aftermath of the Marikana massacre highlight this legacy--including vast quantities of tailings dumps and waste rock, lakes of polluted water and a devastated physical and social environment, high unemployment, high rates of occupational injury and disease including silicosis with co-morbidities, absent social security, and disrupted rural and agricultural communities. Exploitative conditions of work and the externalization of the health and environmental costs of mining will require international solidarity, robust independent trade unions, and a commitment to human rights. © The Author(s) 2016.

  15. THE DASHBOARD - STRATEGIC MANAGEMENT TOOL OF ACTIVITIES IN THE COAL MINING INDUSTRY

    Directory of Open Access Journals (Sweden)

    DINA IONELA-CLAUDIA

    2014-02-01

    Full Text Available In order to achieve the objectives at all levels and categories of functions in the unit, use multiple information systems, including the dashboard which is one of the management tools that responds very well to the rationale and supporting data of management decisions complementary to those provided by other media. In this respect, we try to calculate indicators organization currently working compartments of the coal mining units and will propose a series of indicators whose calculation we consider would be necessary for a detailed presentation as activity carried out and the improvement of management.

  16. Software tool for managing rock related hazards in South African mines.

    CSIR Research Space (South Africa)

    Brink, AVZ

    2002-03-01

    Full Text Available assessment methodologies and tools during their consultation with the industry. It was clear that the RE risk, and even seismic risk does not correspond exclusively to the few very large seismic events. Figure 1.1 shows the distribution of production... risk rating. The risk assessment is dynamic in that it is recalculated each time any input parameters change, for example each time a seismic event is recorded in the area of interest. The code was tested on a data set from Savuka Gold Mine...

  17. Assimilating Text-Mining & Bio-Informatics Tools to Analyze Cellulase structures

    Science.gov (United States)

    Satyasree, K. P. N. V., Dr; Lalitha Kumari, B., Dr; Jyotsna Devi, K. S. N. V.; Choudri, S. M. Roy; Pratap Joshi, K.

    2017-08-01

    Text-mining is one of the best potential way of automatically extracting information from the huge biological literature. To exploit its prospective, the knowledge encrypted in the text should be converted to some semantic representation such as entities and relations, which could be analyzed by machines. But large-scale practical systems for this purpose are rare. But text mining could be helpful for generating or validating predictions. Cellulases have abundant applications in various industries. Cellulose degrading enzymes are cellulases and the same producing bacteria - Bacillus subtilis & fungus Pseudomonas putida were isolated from top soil of Guntur Dt. A.P. India. Absolute cultures were conserved on potato dextrose agar medium for molecular studies. In this paper, we presented how well the text mining concepts can be used to analyze cellulase producing bacteria and fungi, their comparative structures are also studied with the aid of well-establised, high quality standard bioinformatic tools such as Bioedit, Swissport, Protparam, EMBOSSwin with which a complete data on Cellulases like structure, constituents of the enzyme has been obtained.

  18. Can abstract screening workload be reduced using text mining? User experiences of the tool Rayyan.

    Science.gov (United States)

    Olofsson, Hanna; Brolund, Agneta; Hellberg, Christel; Silverstein, Rebecca; Stenström, Karin; Österberg, Marie; Dagerhamn, Jessica

    2017-09-01

    One time-consuming aspect of conducting systematic reviews is the task of sifting through abstracts to identify relevant studies. One promising approach for reducing this burden uses text mining technology to identify those abstracts that are potentially most relevant for a project, allowing those abstracts to be screened first. To examine the effectiveness of the text mining functionality of the abstract screening tool Rayyan. User experiences were collected. Rayyan was used to screen abstracts for 6 reviews in 2015. After screening 25%, 50%, and 75% of the abstracts, the screeners logged the relevant references identified. A survey was sent to users. After screening half of the search result with Rayyan, 86% to 99% of the references deemed relevant to the study were identified. Of those studies included in the final reports, 96% to 100% were already identified in the first half of the screening process. Users rated Rayyan 4.5 out of 5. The text mining function in Rayyan successfully helped reviewers identify relevant studies early in the screening process. Copyright © 2017 John Wiley & Sons, Ltd.

  19. Experimental validation of a mine-wide continuous closure monitoring system as a decision making tool for gold mines.

    CSIR Research Space (South Africa)

    Malan, DF

    2003-03-01

    Full Text Available of a mine-wide continuous closure monitoring system. A RMT remote reading telltale system was modified to operate as a closure system and installed at Mponeng Mine. Unfortunately, this system did not succeed in collecting data from a large number...

  20. Tools for organisational risk evaluation for occupational health stressors (OREOHS) for the small-scale mining industry

    CSIR Research Space (South Africa)

    Edwards, AL

    2009-07-01

    Full Text Available access to knowledge and tools that will raise awareness and disseminate affordable, best practice methods for use by small-scale mines. With this in mind, the CSIR Occupational Health and Ergonomics research group have developed the OREOHS tool which is a...

  1. A case-based reasoning tool for breast cancer knowledge management with data mining concepts and techniques

    Science.gov (United States)

    Demigha, Souâd.

    2016-03-01

    The paper presents a Case-Based Reasoning Tool for Breast Cancer Knowledge Management to improve breast cancer screening. To develop this tool, we combine both concepts and techniques of Case-Based Reasoning (CBR) and Data Mining (DM). Physicians and radiologists ground their diagnosis on their expertise (past experience) based on clinical cases. Case-Based Reasoning is the process of solving new problems based on the solutions of similar past problems and structured as cases. CBR is suitable for medical use. On the other hand, existing traditional hospital information systems (HIS), Radiological Information Systems (RIS) and Picture Archiving Information Systems (PACS) don't allow managing efficiently medical information because of its complexity and heterogeneity. Data Mining is the process of mining information from a data set and transform it into an understandable structure for further use. Combining CBR to Data Mining techniques will facilitate diagnosis and decision-making of medical experts.

  2. SQUAT: A web tool to mine human, murine and avian SAGE data

    Directory of Open Access Journals (Sweden)

    Besson Jérémy

    2008-09-01

    Full Text Available Abstract Background There is an increasing need in transcriptome research for gene expression data and pattern warehouses. It is of importance to integrate in these warehouses both raw transcriptomic data, as well as some properties encoded in these data, like local patterns. Description We have developed an application called SQUAT (SAGE Querying and Analysis Tools which is available at: http://bsmc.insa-lyon.fr/squat/. This database gives access to both raw SAGE data and patterns mined from these data, for three species (human, mouse and chicken. This database allows to make simple queries like "In which biological situations is my favorite gene expressed?" as well as much more complex queries like: ≪what are the genes that are frequently co-over-expressed with my gene of interest in given biological situations?≫. Connections with external web databases enrich biological interpretations, and enable sophisticated queries. To illustrate the power of SQUAT, we show and analyze the results of three different queries, one of which led to a biological hypothesis that was experimentally validated. Conclusion SQUAT is a user-friendly information retrieval platform, which aims at bringing some of the state-of-the-art mining tools to biologists.

  3. The research of structure and mechanical properties of superhard electro-spark coatings for hardwearing mining tools

    International Nuclear Information System (INIS)

    Bajin, P A; Chijikov, A P; Leybo, D V; Chuprunov, K O; Yudin, A G; Alymov, M A; Kuznetsov, D V

    2016-01-01

    The development of low cost and hardwearing mining tools is one of the most important areas in mining industry. It is especially important for technologies of rare and rare earth metals mining due to high hardness of related ores. Coatings for electrodes, produced by extrusion of self-propagating high temperature synthesis (SHS) products from hard-alloyed materials with nanosized structure, for further application in processes of electrospark alloying and deposition were studied in this work. The results of microstructure and properties of deposited layers, interaction of support with SHS produced electrodes, comparison of frictional properties of obtained materials as well as some industrial testing results are presented in this work. (paper)

  4. HC StratoMineR: A Web-Based Tool for the Rapid Analysis of High-Content Datasets.

    Science.gov (United States)

    Omta, Wienand A; van Heesbeen, Roy G; Pagliero, Romina J; van der Velden, Lieke M; Lelieveld, Daphne; Nellen, Mehdi; Kramer, Maik; Yeong, Marley; Saeidi, Amir M; Medema, Rene H; Spruit, Marco; Brinkkemper, Sjaak; Klumperman, Judith; Egan, David A

    2016-10-01

    High-content screening (HCS) can generate large multidimensional datasets and when aligned with the appropriate data mining tools, it can yield valuable insights into the mechanism of action of bioactive molecules. However, easy-to-use data mining tools are not widely available, with the result that these datasets are frequently underutilized. Here, we present HC StratoMineR, a web-based tool for high-content data analysis. It is a decision-supportive platform that guides even non-expert users through a high-content data analysis workflow. HC StratoMineR is built by using My Structured Query Language for storage and querying, PHP: Hypertext Preprocessor as the main programming language, and jQuery for additional user interface functionality. R is used for statistical calculations, logic and data visualizations. Furthermore, C++ and graphical processor unit power is diffusely embedded in R by using the rcpp and rpud libraries for operations that are computationally highly intensive. We show that we can use HC StratoMineR for the analysis of multivariate data from a high-content siRNA knock-down screen and a small-molecule screen. It can be used to rapidly filter out undesirable data; to select relevant data; and to perform quality control, data reduction, data exploration, morphological hit picking, and data clustering. Our results demonstrate that HC StratoMineR can be used to functionally categorize HCS hits and, thus, provide valuable information for hit prioritization.

  5. Tools and Databases of the KOMICS Web Portal for Preprocessing, Mining, and Dissemination of Metabolomics Data

    Directory of Open Access Journals (Sweden)

    Nozomu Sakurai

    2014-01-01

    Full Text Available A metabolome—the collection of comprehensive quantitative data on metabolites in an organism—has been increasingly utilized for applications such as data-intensive systems biology, disease diagnostics, biomarker discovery, and assessment of food quality. A considerable number of tools and databases have been developed to date for the analysis of data generated by various combinations of chromatography and mass spectrometry. We report here a web portal named KOMICS (The Kazusa Metabolomics Portal, where the tools and databases that we developed are available for free to academic users. KOMICS includes the tools and databases for preprocessing, mining, visualization, and publication of metabolomics data. Improvements in the annotation of unknown metabolites and dissemination of comprehensive metabolomic data are the primary aims behind the development of this portal. For this purpose, PowerGet and FragmentAlign include a manual curation function for the results of metabolite feature alignments. A metadata-specific wiki-based database, Metabolonote, functions as a hub of web resources related to the submitters' work. This feature is expected to increase citation of the submitters' work, thereby promoting data publication. As an example of the practical use of KOMICS, a workflow for a study on Jatropha curcas is presented. The tools and databases available at KOMICS should contribute to enhanced production, interpretation, and utilization of metabolomic Big Data.

  6. Tools and databases of the KOMICS web portal for preprocessing, mining, and dissemination of metabolomics data.

    Science.gov (United States)

    Sakurai, Nozomu; Ara, Takeshi; Enomoto, Mitsuo; Motegi, Takeshi; Morishita, Yoshihiko; Kurabayashi, Atsushi; Iijima, Yoko; Ogata, Yoshiyuki; Nakajima, Daisuke; Suzuki, Hideyuki; Shibata, Daisuke

    2014-01-01

    A metabolome--the collection of comprehensive quantitative data on metabolites in an organism--has been increasingly utilized for applications such as data-intensive systems biology, disease diagnostics, biomarker discovery, and assessment of food quality. A considerable number of tools and databases have been developed to date for the analysis of data generated by various combinations of chromatography and mass spectrometry. We report here a web portal named KOMICS (The Kazusa Metabolomics Portal), where the tools and databases that we developed are available for free to academic users. KOMICS includes the tools and databases for preprocessing, mining, visualization, and publication of metabolomics data. Improvements in the annotation of unknown metabolites and dissemination of comprehensive metabolomic data are the primary aims behind the development of this portal. For this purpose, PowerGet and FragmentAlign include a manual curation function for the results of metabolite feature alignments. A metadata-specific wiki-based database, Metabolonote, functions as a hub of web resources related to the submitters' work. This feature is expected to increase citation of the submitters' work, thereby promoting data publication. As an example of the practical use of KOMICS, a workflow for a study on Jatropha curcas is presented. The tools and databases available at KOMICS should contribute to enhanced production, interpretation, and utilization of metabolomic Big Data.

  7. Lignite industry in Greece within a world context: Mining, energy supply and environment

    International Nuclear Information System (INIS)

    Kavouridis, Konstantinos

    2008-01-01

    Today coal covers 38% of global production and roughly 30% of the EU-25 power output. In 2005 domestic lignite with a share of 60.5% in power generation and accounting about 30% of primary energy consumption is currently the most important indigenous fuel of Greece. Greece, mining 70 Mt annually, is the second lignite producer in the EU and fourth in the world. Approximately 97% of the lignite used to supply the existing lignite-fired power plants of Greece is mined by Public Power Corporation S.A. (PPC). Lignite as the base load fuel gives a competitive strength in PPC's and Greece's fuel mix. Due to lignite consumer prices in Greece are significantly below those in other comparable markets in EU-15. Extraction of lignite has a very long tradition. Significant achievements and large experience which has been gained during many years of mining operations place Greek lignite-mining industry in the leading position in Europe. The paper presents current state of Greek lignite industry, including operating mines, volume of production and other important production indicators as well as improvements in labor productivity and good results in industrial safety. The future of coal and specifically of Greek lignite will be crucially determined by environmentally compatible, i.e. low-CO 2 generation of electricity. Investment in modernization and renewal of the power plant fleet are the key to securing electricity supply and progress in preventing climate change

  8. Pharmspresso: a text mining tool for extraction of pharmacogenomic concepts and relationships from full text.

    Science.gov (United States)

    Garten, Yael; Altman, Russ B

    2009-02-05

    Pharmacogenomics studies the relationship between genetic variation and the variation in drug response phenotypes. The field is rapidly gaining importance: it promises drugs targeted to particular subpopulations based on genetic background. The pharmacogenomics literature has expanded rapidly, but is dispersed in many journals. It is challenging, therefore, to identify important associations between drugs and molecular entities--particularly genes and gene variants, and thus these critical connections are often lost. Text mining techniques can allow us to convert the free-style text to a computable, searchable format in which pharmacogenomic concepts (such as genes, drugs, polymorphisms, and diseases) are identified, and important links between these concepts are recorded. Availability of full text articles as input into text mining engines is key, as literature abstracts often do not contain sufficient information to identify these pharmacogenomic associations. Thus, building on a tool called Textpresso, we have created the Pharmspresso tool to assist in identifying important pharmacogenomic facts in full text articles. Pharmspresso parses text to find references to human genes, polymorphisms, drugs and diseases and their relationships. It presents these as a series of marked-up text fragments, in which key concepts are visually highlighted. To evaluate Pharmspresso, we used a gold standard of 45 human-curated articles. Pharmspresso identified 78%, 61%, and 74% of target gene, polymorphism, and drug concepts, respectively. Pharmspresso is a text analysis tool that extracts pharmacogenomic concepts from the literature automatically and thus captures our current understanding of gene-drug interactions in a computable form. We have made Pharmspresso available at http://pharmspresso.stanford.edu.

  9. miRiaD: A Text Mining Tool for Detecting Associations of microRNAs with Diseases.

    Science.gov (United States)

    Gupta, Samir; Ross, Karen E; Tudor, Catalina O; Wu, Cathy H; Schmidt, Carl J; Vijay-Shanker, K

    2016-04-29

    MicroRNAs are increasingly being appreciated as critical players in human diseases, and questions concerning the role of microRNAs arise in many areas of biomedical research. There are several manually curated databases of microRNA-disease associations gathered from the biomedical literature; however, it is difficult for curators of these databases to keep up with the explosion of publications in the microRNA-disease field. Moreover, automated literature mining tools that assist manual curation of microRNA-disease associations currently capture only one microRNA property (expression) in the context of one disease (cancer). Thus, there is a clear need to develop more sophisticated automated literature mining tools that capture a variety of microRNA properties and relations in the context of multiple diseases to provide researchers with fast access to the most recent published information and to streamline and accelerate manual curation. We have developed miRiaD (microRNAs in association with Disease), a text-mining tool that automatically extracts associations between microRNAs and diseases from the literature. These associations are often not directly linked, and the intermediate relations are often highly informative for the biomedical researcher. Thus, miRiaD extracts the miR-disease pairs together with an explanation for their association. We also developed a procedure that assigns scores to sentences, marking their informativeness, based on the microRNA-disease relation observed within the sentence. miRiaD was applied to the entire Medline corpus, identifying 8301 PMIDs with miR-disease associations. These abstracts and the miR-disease associations are available for browsing at http://biotm.cis.udel.edu/miRiaD . We evaluated the recall and precision of miRiaD with respect to information of high interest to public microRNA-disease database curators (expression and target gene associations), obtaining a recall of 88.46-90.78. When we expanded the evaluation to

  10. Data Mining and Knowledge Management in Higher Education -Potential Applications.

    Science.gov (United States)

    Luan, Jing

    This paper introduces a new decision support tool, data mining, in the context of knowledge management. The most striking features of data mining techniques are clustering and prediction. The clustering aspect of data mining offers comprehensive characteristics analysis of students, while the predicting function estimates the likelihood for a…

  11. Tools of Realization of Social Responsibility of Industrial Business for Sustainable Socio-economic Development of Mining Region's Rural Territory

    Science.gov (United States)

    Jurzina, Tatyana; Egorova, Natalia; Zaruba, Natalia; Kosinskij, Peter

    2017-11-01

    Modern conditions of the Russian economy do especially relevant questions of social responsibility of industrial business of the mining region for sustainable social and economic development of rural territories that demands search of the new strategy, tools, ways for positioning and increase in competitiveness of the enterprises, which are carrying out the entrepreneurial activity in this territory. The article opens problems of an influence of the industrial enterprises on the territory of presence, reasons the theoretical base directed to the formation of practical tools (mechanism) providing realization of social responsibility of business for sustainable social and economic development of rural territories of the mining region.

  12. Tools of Realization of Social Responsibility of Industrial Business for Sustainable Socio-economic Development of Mining Region's Rural Territory

    Directory of Open Access Journals (Sweden)

    Jurzina Tatyana

    2017-01-01

    Full Text Available Modern conditions of the Russian economy do especially relevant questions of social responsibility of industrial business of the mining region for sustainable social and economic development of rural territories that demands search of the new strategy, tools, ways for positioning and increase in competitiveness of the enterprises, which are carrying out the entrepreneurial activity in this territory. The article opens problems of an influence of the industrial enterprises on the territory of presence, reasons the theoretical base directed to the formation of practical tools (mechanism providing realization of social responsibility of business for sustainable social and economic development of rural territories of the mining region.

  13. Data Mining and Machine Learning Tools for Combinatorial Material Science of All-Oxide Photovoltaic Cells.

    Science.gov (United States)

    Yosipof, Abraham; Nahum, Oren E; Anderson, Assaf Y; Barad, Hannah-Noa; Zaban, Arie; Senderowitz, Hanoch

    2015-06-01

    Growth in energy demands, coupled with the need for clean energy, are likely to make solar cells an important part of future energy resources. In particular, cells entirely made of metal oxides (MOs) have the potential to provide clean and affordable energy if their power conversion efficiencies are improved. Such improvements require the development of new MOs which could benefit from combining combinatorial material sciences for producing solar cells libraries with data mining tools to direct synthesis efforts. In this work we developed a data mining workflow and applied it to the analysis of two recently reported solar cell libraries based on Titanium and Copper oxides. Our results demonstrate that QSAR models with good prediction statistics for multiple solar cells properties could be developed and that these models highlight important factors affecting these properties in accord with experimental findings. The resulting models are therefore suitable for designing better solar cells. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  14. Conceptualising the Use of Facebook in Ethnographic Research: As Tool, as Data and as Context

    Science.gov (United States)

    Baker, Sally

    2013-01-01

    This article proposes a three-part conceptualisation of the use of Facebook in ethnographic research: as a tool, as data and as context. Longitudinal research with young adults at a time of significant change provides many challenges for the ethnographic researcher, such as maintaining channels of communication and high rates of participant…

  15. Using TRAILER tool for Managing Informal Learning in academic and professional contexts: the learners’ perspective

    NARCIS (Netherlands)

    Viegas, Maria C.; Marques, Maria A.; Alves, Gustavo R.; Zangrando, Valentina; Galanis, Nikolas; Brouns, Francis; Janssen, José; Waszkiewicz, Elwira; Mykowska, Alexandra; Conde, Miguel Á.; García-Holgado, Alicia; García-Peñalvo, Francisco J.

    2013-01-01

    Viegas, C., Marques, A., Alves, G., Zangrando, V., Galanis, N., Brouns, F., Janssen, J., Waszkiewicz, E., Mykowska, A., Gonzalez, M., Holgado, A., & García-Peñalvo, F. (2013). Using TRAILER tool for Managing Informal Learning in academic and professional contexts: the learners’ perspective. In F.

  16. Interactive text mining with Pipeline Pilot: a bibliographic web-based tool for PubMed.

    Science.gov (United States)

    Vellay, S G P; Latimer, N E Miller; Paillard, G

    2009-06-01

    Text mining has become an integral part of all research in the medical field. Many text analysis software platforms support particular use cases and only those. We show an example of a bibliographic tool that can be used to support virtually any use case in an agile manner. Here we focus on a Pipeline Pilot web-based application that interactively analyzes and reports on PubMed search results. This will be of interest to any scientist to help identify the most relevant papers in a topical area more quickly and to evaluate the results of query refinement. Links with Entrez databases help both the biologist and the chemist alike. We illustrate this application with Leishmaniasis, a neglected tropical disease, as a case study.

  17. SA-Search: a web tool for protein structure mining based on a Structural Alphabet.

    Science.gov (United States)

    Guyon, Frédéric; Camproux, Anne-Claude; Hochez, Joëlle; Tufféry, Pierre

    2004-07-01

    SA-Search is a web tool that can be used to mine for protein structures and extract structural similarities. It is based on a hidden Markov model derived Structural Alphabet (SA) that allows the compression of three-dimensional (3D) protein conformations into a one-dimensional (1D) representation using a limited number of prototype conformations. Using such a representation, classical methods developed for amino acid sequences can be employed. Currently, SA-Search permits the performance of fast 3D similarity searches such as the extraction of exact words using a suffix tree approach, and the search for fuzzy words viewed as a simple 1D sequence alignment problem. SA-Search is available at http://bioserv.rpbs.jussieu.fr/cgi-bin/SA-Search.

  18. Emergency Braking of a Mine Hoist in the Context of the Braking System Selection

    Science.gov (United States)

    Wolny, Stanisław

    2017-03-01

    The paper addresses the selected aspects of the dynamic behaviour of mine hoists during the emergency braking phase. Basing on the model of the hoist and supported by theoretical backgrounds provided by the author (Wolny, 2016), analytical formulas are derived to determine the parameters of the braking system such that during an emergency braking it should guarantee that: - the maximal loading of the hoisting ropes should not exceed the rope breaking force, - deceleration of the conveyances being stopped should not exceed the admissible levels Results of the dynamic analysis of the mine hoist behaviour during an emergency braking phase summarised in this study can be utilised to support the design of conveyance and rope attachments by the fatigue endurance methods, with an aim to adapt it to the specified operational parameters of the hoisting installation (Eurokod 3).

  19. Spanish mining within the European context. La mineria espanola en il contexto europeo

    Energy Technology Data Exchange (ETDEWEB)

    Cerezuela Bonet, J.J. (Ministerio de Industria y Energia, Madrid (Spain))

    1989-01-01

    For the reasons already discussed, it is clear that Spanish mining is faced with the large-scale task of modernisation and adaptation to the requirements of the Community. What is also clear, however, is that over the past few months, a series of measures have been taken to define specifically the action required and identify precise objectives for which to aim in order to achieve the greater goal of modernisation.

  20. Mining law and energy law in the context of today's most urgent problems

    International Nuclear Information System (INIS)

    Hueffer, U.; Ipsen, K.; Tettinger, P.J.

    1989-01-01

    Present mining law and energy law is discussed in 29 papers. Fundamental aspects of legal policy are discussed from the view of the Federal Government and of the Land of Nordrhein-Westfalen. Among the subjects discussed are: Property rights and mining; brown coal projecting; instruments for the promotion of power generation from coal; law on mining damage, industrial safety, and social security. There are several papers on legal problems of power supply, e.g. the autonomy of public utilities, the construction of power supply networks, the utilisation of renewable energy sources, waste incineration, and court decisions in the nuclear licensing procedure. There is a section on international law and a comparison of legal regulations, comprising: legal measures and standards within the IAEA; organisation and tasks of the IEA, energy law and energy policy of the USA, Japan, Great Britain, France, and the COMECON states (the latter referred to the production of energy sources and the electric power generation capacity). (orig./HP) [de

  1. Automated tools to be used for ascertaining structural condition in South African hard rock mines

    CSIR Research Space (South Africa)

    Teleka, R

    2011-11-01

    Full Text Available in the mining operations and in the efforts to improve mine safety. If mines are safe, the belief is that more skilled labor will express interest in it unlike the way it currently is. The purpose of this paper is to discuss the possibility of using automated...

  2. Development of a context specific accreditation assessment tool for affirming quality midwifery education in Bangladesh.

    Science.gov (United States)

    Bogren, Malin; Sathyanarayanan Doraiswamy; Erlandsson, Kerstin; Akhter, Halima; Akter, Dalia; Begum, Momtaz; Chowdhury, Merry; Das, Lucky; Akter, Rehana; Begum, Sufia; Akter, Renoara; Yesmin, Syeada; Khatun, Yamin Ara

    2018-06-01

    using the International Confederation of Midwives (ICM) Global Standards for Midwifery Education as a conceptual framework, the aim of this study was to explore and describe important 'must haves' for inclusion in a context-specific accreditation assessment tool in Bangladesh. A questionnaire study was conducted using a Likert rating scale and 111 closed-response single items on adherence to accreditation-related statements, ending with an open-ended question. The ICM Global Standards guided data collection, deductive content analysis and description of the quantitative results. twenty-five public institutes/colleges (out of 38 in Bangladesh), covering seven out of eight geographical divisions in the country. one hundred and twenty-three nursing educators teaching the 3-year diploma midwifery education programme. this study provides insight into the development of a context-specific accreditation assessment tool for Bangladesh. Important components to be included in this accreditation tool are presented under the following categories and domains: 'organization and administration', 'midwifery faculty', 'student body', 'curriculum content', 'resources, facilities and services' and 'assessment strategies'. The identified components were a prerequisite to ensure that midwifery students achieve the intended learning outcomes of the midwifery curriculum, and hence contribute to a strong midwifery workforce. The components further ensure well-prepared teachers and a standardized curriculum supported at policy level to enable effective deployment of professional midwives in the existing health system. as part of developing an accreditation assessment tool, it is imperative to build ownership and capacity when translating the ICM Global Standards for Midwifery Education into the national context. this initiative can be used as lessons learned from Bangladesh to develop a context-specific accreditation assessment tool in line with national priorities, supporting the

  3. GarlicESTdb: an online database and mining tool for garlic EST sequences

    Directory of Open Access Journals (Sweden)

    Choi Sang-Haeng

    2009-05-01

    Full Text Available Abstract Background Allium sativum., commonly known as garlic, is a species in the onion genus (Allium, which is a large and diverse one containing over 1,250 species. Its close relatives include chives, onion, leek and shallot. Garlic has been used throughout recorded history for culinary, medicinal use and health benefits. Currently, the interest in garlic is highly increasing due to nutritional and pharmaceutical value including high blood pressure and cholesterol, atherosclerosis and cancer. For all that, there are no comprehensive databases available for Expressed Sequence Tags(EST of garlic for gene discovery and future efforts of genome annotation. That is why we developed a new garlic database and applications to enable comprehensive analysis of garlic gene expression. Description GarlicESTdb is an integrated database and mining tool for large-scale garlic (Allium sativum EST sequencing. A total of 21,595 ESTs collected from an in-house cDNA library were used to construct the database. The analysis pipeline is an automated system written in JAVA and consists of the following components: automatic preprocessing of EST reads, assembly of raw sequences, annotation of the assembled sequences, storage of the analyzed information into MySQL databases, and graphic display of all processed data. A web application was implemented with the latest J2EE (Java 2 Platform Enterprise Edition software technology (JSP/EJB/JavaServlet for browsing and querying the database, for creation of dynamic web pages on the client side, and for mapping annotated enzymes to KEGG pathways, the AJAX framework was also used partially. The online resources, such as putative annotation, single nucleotide polymorphisms (SNP and tandem repeat data sets, can be searched by text, explored on the website, searched using BLAST, and downloaded. To archive more significant BLAST results, a curation system was introduced with which biologists can easily edit best-hit annotation

  4. GarlicESTdb: an online database and mining tool for garlic EST sequences.

    Science.gov (United States)

    Kim, Dae-Won; Jung, Tae-Sung; Nam, Seong-Hyeuk; Kwon, Hyuk-Ryul; Kim, Aeri; Chae, Sung-Hwa; Choi, Sang-Haeng; Kim, Dong-Wook; Kim, Ryong Nam; Park, Hong-Seog

    2009-05-18

    Allium sativum., commonly known as garlic, is a species in the onion genus (Allium), which is a large and diverse one containing over 1,250 species. Its close relatives include chives, onion, leek and shallot. Garlic has been used throughout recorded history for culinary, medicinal use and health benefits. Currently, the interest in garlic is highly increasing due to nutritional and pharmaceutical value including high blood pressure and cholesterol, atherosclerosis and cancer. For all that, there are no comprehensive databases available for Expressed Sequence Tags(EST) of garlic for gene discovery and future efforts of genome annotation. That is why we developed a new garlic database and applications to enable comprehensive analysis of garlic gene expression. GarlicESTdb is an integrated database and mining tool for large-scale garlic (Allium sativum) EST sequencing. A total of 21,595 ESTs collected from an in-house cDNA library were used to construct the database. The analysis pipeline is an automated system written in JAVA and consists of the following components: automatic preprocessing of EST reads, assembly of raw sequences, annotation of the assembled sequences, storage of the analyzed information into MySQL databases, and graphic display of all processed data. A web application was implemented with the latest J2EE (Java 2 Platform Enterprise Edition) software technology (JSP/EJB/JavaServlet) for browsing and querying the database, for creation of dynamic web pages on the client side, and for mapping annotated enzymes to KEGG pathways, the AJAX framework was also used partially. The online resources, such as putative annotation, single nucleotide polymorphisms (SNP) and tandem repeat data sets, can be searched by text, explored on the website, searched using BLAST, and downloaded. To archive more significant BLAST results, a curation system was introduced with which biologists can easily edit best-hit annotation information for others to view. The Garlic

  5. Context

    Directory of Open Access Journals (Sweden)

    Sugam Sharma

    2015-11-01

    Full Text Available The primary thrust of this work is to demonstrate the applicability of association rule mining in public health domain, focusing on physical activity and exercising. In this paper, the concept of association rule mining is shown assisting to promote the physical exercise as regular human activity. Specifically, similar to the prototypical example of association rule mining, market basket analysis, our proposed novel approach considers two events – exercise (sporadic and sleep (regular as the two items of the frequent set; and associating the former, exercise event, with latter, the daily occurring activity sleep at night, helps strengthening the frequency of the exercise patterns. The regularity can further be enhanced, if the exercising instruments are kept in the vicinity of the bed and are within easy reach.

  6. Stake holder involvement in remediation programmes in a uranium mining area: changes of radiological concerns in the societal context

    International Nuclear Information System (INIS)

    Gatzweiler, R.; Hagen, M.; Leder, F.; Kraus, W.; Zimmermann, G.

    2002-01-01

    In 1990 after the political change in East Germany the public concerns on the radiological legacy of 45 years of uranium mining and milling in a densely populated area led to the launching of a huge remediation programme covering approximately 13 billion DM. Half of the remediation programme has been completed. Since the implementation of this programme the dominating attitude of the affected public has totally changed, from concerns for a great danger to health and mistrust of all planned activities to acceptance of the remediation programme and indifference about the radiological hazards. The success in getting adequate public acceptance in decision-making for remediation actions could be accounted for as more dependent on the societal, i.e. the scientific-technical, political and social-economic context of the radiological problems to be solved, and less due to whether stakeholders are completely and formally involved in the decision process. The scientific-technical context: Within the radiation protection system the missing national and international guidance on intervention and on protection against enhanced natural radiation provides a certain flexibility in decision-making but may negatively affect the credibility of expert judgements and increase uncertainties. Therefore it was important that appropriate parts of the former East German radiation protection legislation were kept in force and flexibility interpreted with regard to the remediation of an area contaminated by natural radionuclides. The political context: After the political change in East Germany suddenly a totalitarian and closed political system that did not provide any information on the radiological and other impacts of uranium mining and milling turned into an open and democratic society delivering full and open information. As part of the following unification process the German Government took over the full ownership of the Wismut company from the Soviet Union and thus the responsibility

  7. Ventilation systems as an effective tool for control of radon daughter concentration in mines

    International Nuclear Information System (INIS)

    Dory, A.B.

    1981-10-01

    Introduced with a brief discussion of the key role of ventilation in controlling mine atmospheres, the effects of the design of the ventilation system on the control of radon daughter concentrations are illustrated with specific reference to Alcan's Director Mine, St-Lawrence, Nfld. (This fluorspar mine was found to have high radon concentrations due to mine water bringing in dissolved radon.) After a discussion of the health physics history of the mine, the various phases of the ventilation system design and the general results are detailed. The author draws some conclusions having general application to the design of any mine with a radon or thoron daughter concentration. These include minimizing the 'age' of the air; the need for continuous ventilation in all areas; the value of remote control and monitoring; and the benefits of mine pressurization

  8. Experimental validation of a mine-wide continuous closure monitoring system as a decision making tool for gold mines

    CSIR Research Space (South Africa)

    Malan, DF

    2003-03-01

    Full Text Available with strain bursting conditions, while low values (< 0.1) are associated with significant risks of falls of ground. The typical closure ratio calculated for the experimental site at Mponeng Mine was 0.5. Fortunately no face bursting occurred during... the period of monitoring but any possible changes in closure ratio preceding bursts could therefore not be investigated. Another preliminary finding is that it appears that the closure ratio is relatively independent of position along the stope face...

  9. Instant collaboration: Using context-aware instant messaging for session management in distributed collaboration tools

    DEFF Research Database (Denmark)

    Hansen, Klaus Marius; Damm, Christian Heide

    2002-01-01

    Distributed collaboration has become increasingly important, and instant messaging has become widely used for distributed communication. We present findings from an investigation of instant messaging use for work-related activities in a commercial setting. Based on these findings, we propose...... a lightweight session management design for distributed collaboration tools based on context-aware instant messaging. An implementation of this design is presented and an ongoing evaluation is discussed....

  10. Searching in the Context of a Task: A Review of Methods and Tools

    Directory of Open Access Journals (Sweden)

    Ana Maguitman

    2018-04-01

    Full Text Available Contextual information extracted from the user task can help to better target retrieval to task-relevant content. In particular, topical context can be exploited to identify the subject of the information needs, contributing to reduce the information overload problem. A great number of methods exist to extract raw context data and contextual interaction patterns from the user task and to model this information using higher-level representations. Context can then be used as a source for automatic query generation, or as a means to refine or disambiguate user-generated queries. It can also be used to filter and rank results as well as to select domain-specific search engines with better capabilities to satisfy specific information requests. This article reviews methods that have been applied to deal with the problem of reflecting the current and long-term interests of a user in the search process. It discusses major difficulties encountered in the research area of context-based information retrieval and presents an overview of tools proposed since the mid-nineties to deal with the problem of context-based search.

  11. SMM-system: A mining tool to identify specific markers in Salmonella enterica.

    Science.gov (United States)

    Yu, Shuijing; Liu, Weibing; Shi, Chunlei; Wang, Dapeng; Dan, Xianlong; Li, Xiao; Shi, Xianming

    2011-03-01

    This report presents SMM-system, a software package that implements various personalized pre- and post-BLASTN tasks for mining specific markers of microbial pathogens. The main functionalities of SMM-system are summarized as follows: (i) converting multi-FASTA file, (ii) cutting interesting genomic sequence, (iii) automatic high-throughput BLASTN searches, and (iv) screening target sequences. The utility of SMM-system was demonstrated by using it to identify 214 Salmonella enterica-specific protein-coding sequences (CDSs). Eighteen primer pairs were designed based on eighteen S. enterica-specific CDSs, respectively. Seven of these primer pairs were validated with PCR assay, which showed 100% inclusivity for the 101 S. enterica genomes and 100% exclusivity of 30 non-S. enterica genomes. Three specific primer pairs were chosen to develop a multiplex PCR assay, which generated specific amplicons with a size of 180bp (SC1286), 238bp (SC1598) and 405bp (SC4361), respectively. This study demonstrates that SMM-system is a high-throughput specific marker generation tool that can be used to identify genus-, species-, serogroup- and even serovar-specific DNA sequences of microbial pathogens, which has a potential to be applied in food industries, diagnostics and taxonomic studies. SMM-system is freely available and can be downloaded from http://foodsafety.sjtu.edu.cn/SMM-system.html. Copyright © 2011 Elsevier B.V. All rights reserved.

  12. Spectrometric aerial survey as a new tool for geological survey and mining prospecting

    International Nuclear Information System (INIS)

    Cambon, R.

    1997-01-01

    Airborne survey for radioactive minerals started around 1945. The limited sensitivity of the tools used, the difficulties found for the topographic and training effect corrections, made difficult the evaluation of the results. The technical progresses realized in the recent past years in electronic and computer sciences allowed to overcome these difficulties and gave to the method all its potentialities. With the aerial spectrometric survey, a new step was made, because this method can be used for other topics than radioactive prospection such as geological survey and mining prospection for metallic and industrial minerals. The spectrometric method is based on the possibility to measure photopeak energies (gamma radiation) emitted by radioactive minerals and discriminate between them those emitted by U238, TI 208 and K40 respectively daughter products of uranium, thorium and potassium. For airborne survey, one consider that measuring instruments will allow to pick-up 80% of the radioactive emission concerning the first 15 to 30 centimetres of ground (1 metre maximum). The use of this method for geological and mineral exploration is based on the assumption that different rock types or ore bearing rock types are composed of certain amounts of rock forming minerals which comprise specific quantities of radioactive elements such as potassium, uranium and thorium (cf: Gabelman 77). To be able to evaluate the results of the spectrometric survey it will be necessary to know roughly the behaviour of the different radioactive elements through a complete geological cycle. (author)

  13. Overview on How Data Mining Tools May Support Cardiovascular Disease Prediction

    Directory of Open Access Journals (Sweden)

    Dan-Andrei Sitar-Taut

    2010-01-01

    Full Text Available Terms as knowledge discovery or KnowledgeDiscovery from Databases (KDD, Data Mining (DM, ArtificialIntelligence (AI, Machine Learning (ML, Artificial Neuralnetworks (ANN, decision tables and trees, gain from day to day,an increasing significance in medical data analysis. They permitthe identification, evaluation, and quantification of some lessvisible, intuitively unpredictable, by using generally large sets ofdata. Cardiology represents an extremely vast and importantdomain, having multiple and complex social and humanimplications. These are enough reasons to promote theresearches in this area, becoming shortly not just national orEuropean priorities, but also world-level ones. The profoundand multiple interwoven relationships among the cardiovascularrisk factors and cardiovascular diseases – but still far to becompletely discovered or understood – represent a niche forapplying IT&C modern and multidisciplinary tools in order tosolve the existing knowledge gaps.This paper’s aim is to present, by emphasizing their absoluteor relative pros and cons, several opportunities of applying DMtools in cardiology, more precisely in endothelial dysfunctiondiagnostic and quantification the relationships between theseand so-called “classical” cardiovascular risk factors.

  14. IMPLEMENTATION OF THE MINESIGHT® TOOLS IN THE LAS CUEVAS MINE OF VALE COAL COMPANY IN COLOMBIA

    Directory of Open Access Journals (Sweden)

    GIOVANNI FRANCO SEPÚLVEDA

    2012-01-01

    Full Text Available Este trabajo expone la implementación de herramientas MineSight® en un proyecto hipotético que será tomado como base en la mina Las Cuevas, apoyado en la modelación convencional, configuración del proyecto, desiegues, manipulación de sondajes, la creación del modelo geológico y de bloques, que permita determinar con confianza los recursos explotables del mineral de interés. Se presentan las generalidades del proyecto seguido de un caso de estudio hipotético, que inicia con la generación de polígonos en secciones para mantos con la utilización del true thickness, seguidamente se presentan las envolventes económicas en MSOPIT y MSVAL con algunos requerimientos para la minería de carbón. Posteriormente se realizan pits operacionales utilizando la herramienta Pit Expansion tool con la cual se busca explotar el yacimiento de manera óptima y facilitar el equilibrio económico a lo largo del proyecto, en su culminación se realiza el planeamiento a corto plazo con la herramienta Interactive Planner (IP.

  15. Smart-card-based automatic meal record system intervention tool for analysis using data mining approach.

    Science.gov (United States)

    Zenitani, Satoko; Nishiuchi, Hiromu; Kiuchi, Takahiro

    2010-04-01

    The Smart-card-based Automatic Meal Record system for company cafeterias (AutoMealRecord system) was recently developed and used to monitor employee eating habits. The system could be a unique nutrition assessment tool for automatically monitoring the meal purchases of all employees, although it only focuses on company cafeterias and has never been validated. Before starting an interventional study, we tested the reliability of the data collected by the system using the data mining approach. The AutoMealRecord data were examined to determine if it could predict current obesity. All data used in this study (n = 899) were collected by a major electric company based in Tokyo, which has been operating the AutoMealRecord system for several years. We analyzed dietary patterns by principal component analysis using data from the system and extracted 5 major dietary patterns: healthy, traditional Japanese, Chinese, Japanese noodles, and pasta. The ability to predict current body mass index (BMI) with dietary preference was assessed with multiple linear regression analyses, and in the current study, BMI was positively correlated with male gender, preference for "Japanese noodles," mean energy intake, protein content, and frequency of body measurement at a body measurement booth in the cafeteria. There was a negative correlation with age, dietary fiber, and lunchtime cafeteria use (R(2) = 0.22). This regression model predicted "would-be obese" participants (BMI >or= 23) with 68.8% accuracy by leave-one-out cross validation. This shows that there was sufficient predictability of BMI based on data from the AutoMealRecord System. We conclude that the AutoMealRecord system is valuable for further consideration as a health care intervention tool. Copyright 2010 Elsevier Inc. All rights reserved.

  16. Macrolithic tools for mining and primary processing of metal ores from the site of Grotta della Monaca (Calabria, Italy

    Directory of Open Access Journals (Sweden)

    Francesco Breglia

    2016-10-01

    In this paper we focus on two categories of macrolithic tools: those used to extract minerals, and those used for their primary processing. The first group is composed of 51 artefacts divided into axes, hammers, and pickaxes with a central groove, found in the deeper areas of the cave, which represent the mining areas. Their morphological and dimensional variability indicates a significant functional diversification; furthermore, the choice of different very hard metamorphic rocks implies a high awareness in the selection of the raw materials used for making these implements. The second group includes 22 tools with different functions - mainly made of sandstone - classified as querns, grinders and crushers. They were found in an underground area adjacent to the entrance, which is characterized by large and comfortable spaces, with the widespread presence of natural light. A recent traceological study has clarified the function of such artefacts; they were used to grind mined blocks of iron hydroxides to obtain a powder. The multidisciplinary approach adopted in studying mining tools from Grotta della Monaca, including petrographic, typological and use-wear analysis, has allowed us to gain important knowledge about the general characteristics of these tools.

  17. An Evaluation of Text Mining Tools as Applied to Selected Scientific and Engineering Literature.

    Science.gov (United States)

    Trybula, Walter J.; Wyllys, Ronald E.

    2000-01-01

    Addresses an approach to the discovery of scientific knowledge through an examination of data mining and text mining techniques. Presents the results of experiments that investigated knowledge acquisition from a selected set of technical documents by domain experts. (Contains 15 references.) (Author/LRW)

  18. Numerical Modeling Tools for the Prediction of Solution Migration Applicable to Mining Site

    International Nuclear Information System (INIS)

    Martell, M.; Vaughn, P.

    1999-01-01

    Mining has always had an important influence on cultures and traditions of communities around the globe and throughout history. Today, because mining legislation places heavy emphasis on environmental protection, there is great interest in having a comprehensive understanding of ancient mining and mining sites. Multi-disciplinary approaches (i.e., Pb isotopes as tracers) are being used to explore the distribution of metals in natural environments. Another successful approach is to model solution migration numerically. A proven method to simulate solution migration in natural rock salt has been applied to project through time for 10,000 years the system performance and solution concentrations surrounding a proposed nuclear waste repository. This capability is readily adaptable to simulate solution migration around mining

  19. PII- Potential Innovation Index: a Tool to Benchmark Innovation Capabilities in International Context

    Directory of Open Access Journals (Sweden)

    Daniel Galvez

    2013-12-01

    Full Text Available Benchmarking has become a useful tool for companies, enabling better decision-making and improvement of internal practices towards world-class performance. Nevertheless, concerning SMEs’ innovation capabilities from traditional sectors, benchmarking applications have been scarce. This article uses a predefined metric named the “Potential Innovation Index (PII”, based on internal practices of the firms to compare innovation capabilities of two groups of similar SMEs from 2 different geographical, cultural and social contexts. Results were used to analyze similarities and differences, strengths and weaknesses of the groups. Obtained results confirm the difficulties to innovate of this type firms, no matters the sector or country, as over 55% of the companies studied were evaluated as having a low innovative performance. However, regarding the index’s constitutive practices, significant differences were found. Which leads to infer that innovation support strategies to enhance innovation must be adapted to the local context and culture.

  20. Waqf as a Tool for Rendering Social Welfare Services in the Social Entrepreneurship Context

    Directory of Open Access Journals (Sweden)

    Md. Mahmudul Alam

    2018-01-01

    Full Text Available The concept of Islamic entrepreneurship centers on ensuring community well-being as the priority, which is one of the important objectives (Maqasid of the Islamic Shari’ah. Historically, waqf played a significant role in the Islamic economic system, particularly in rendering exemplary welfare services in the areas of healthcare, education, social welfare, environmental, and other community-based programs. However, only a few success stories in recent history have institutionally utilized the properties of waqf under proper management to achieve its substantial objectives. This study uses the literature review as basis to analyze the reasons behind the successful utilization of waqf as an effective tool to ensure social welfare services in the past, as well as how this model can be replicated by considering current contexts. This study will assist Islamic valuecentric entrepreneurs, regulatory authorities, investors, and researchers to gain an overall insight into the potentials of waqf as a tool for rendering commendable social welfare services.

  1. Analytical tools and functions of GIS in the process control and decision support of mining company

    Directory of Open Access Journals (Sweden)

    Semrád Peter

    2001-12-01

    Full Text Available The development of computer techniques, the increase in demands for the professional and possible fastest data processing, as well as for the fluency and efficiency of information gaining, exchanging and providing has a strong influence on forming the new generation of information technologies - Geografic Information Systems (GIS that rose in the second half of the twentieth century.Advancement in this area is still progressing and GIS gradually find the enforcement in individual fields where they play a great role in the process control and decision support. Nowadays, there are applications in mining and geology, where are used especially at processing and evaluating of mining - geological documentation, optimalization of mining and technical processes, planning, distributing and managing of mining as well as economic analysis that are important in terms of investment decisions to mining business.GIS are the systems for the effective keeping, updating, processing, analysing, modelling, simulating and presenting geographically oriented information. We can identify them as computer systems helping to solve real problems that should be normally required to solve by human expert.Well equipped GIS have graphic ability and accordingly manage descriptive (attribute data. They are able to secure mutual connection between graphical and descriptive data and in addition to command countless number of functions that enable the execution of spatial analysis. This fact is very important in mining and geological application.There are exploited mostly geostatistical analysis (e. g. modelling of distribution valuable and harmful components of mineral resouce in a mineral deposit, surface modelling and surface model analysis (e. g. at modelling the subsidence of mining territory, different methods of creating spatial and attribute queries about database for seeking necessary data (e. g. to find all mining blocks of deposit that meet required conditions and to

  2. Disk Rock Cutting Tool for the Implementation of Resource-Saving Technologies of Mining of Solid Minerals

    Science.gov (United States)

    Manietyev, Leonid; Khoreshok, Aleksey; Tsekhin, Alexander; Borisov, Andrey

    2017-11-01

    The directions of a resource and energy saving when creating a boom-type effectors of roadheaders of selective action with disc rock cutting tools on a multi-faceted prisms for the destruction of formation of minerals and rocks pricemax are presented. Justified reversing the modes of the crowns and booms to improve the efficiency of mining works. Parameters of destruction of coal and rock faces by the disk tool of a biconical design with the unified fastening knots to many-sided prisms on effectors of extraction mining machines are determined. Parameters of tension of the interfaced elements of knots of fastening of the disk tool at static interaction with the destroyed face of rocks are set. The technical solutions containing the constructive and kinematic communications realizing counter and reverse mode of rotation of two radial crowns with the disk tool on trihedral prisms and cases of booms with the disk tool on tetrahedral prisms in internal space between two axial crowns with the cutter are proposed. Reserves of expansion of the front of loading outside a table of a feeder of the roadheader of selective action, including side zones in which loading corridors by blades of trihedral prisms in internal space between two radial crowns are created are revealed.

  3. Heat pumps as a tool for energy recovery from mining wastes

    Energy Technology Data Exchange (ETDEWEB)

    Banks, D.; Skarphagen, H.; Wiltshire, R.; Jessop, C. [Holymoor Consultancy, Chesterfield (United Kingdom)

    2004-10-22

    The article explains the principles of open-loop and closed-loop heat pumps and discusses the use of mine water as a source for ground heat. The use of mine water for space heating or cooling purposes has been demonstrated to be feasible and economic in applications in Scotland, Canada, Norway and the USA. Mine water is an attractive energy resource due to: (1) the high water storage and water flux in mine workings, representing a huge renewable enthalpy reservoir; (2) the possibility of re-branding a potentially polluting environmental liability as a 'green' energy resource; and (3) the development of many mine sites as commercial/industrial parks with large space heating/cooling requirements. The exothermic nature of the pyrite oxidation reaction implies added benefits if closed-loop systems can harness the chemical energy released in mine-waste tips. An appreciation of geochemistry also assists in identifying and solving possible problems with precipitation reactions occurring in heat pump systems. 51 refs., 4 figs., 4 tabs.

  4. Ventilation systems as an effective tool for control of radon daughter concentration in mines

    International Nuclear Information System (INIS)

    Dory, A.B.

    1981-10-01

    Experience in mines shows that a very high concentration of radon daughters builds up in an unventilated dead end heading. Even minimal air movement results in a drastic reduction in radon daughter concentration. Designing the ventilation system to provide an optimized flow of fresh air into the workplace results in acceptable climatic conditions and radon daughter levels. The example of the Director fluorospar mine in Newfoundland is used to illustrate the actual design and operation of a ventilation system that provided effective radon daughter control. It was found at this mine that the age of the air underground should be kept as low as possible; that no areas of the mine should be left unventilated unless they could be kept at negative pressure; that a comparatively simple remote control and monitoring system helped stabilize ventilation and detected upsets; that the ventilation system should operate continuously, even when the mine is shut down for short periods; and that pressurization of the mine seemed to inhibit radon influx

  5. The Sustainability Analysis Framework: An Effective Knowledge Communication Tool in a Whole of Government Context

    Directory of Open Access Journals (Sweden)

    Kendal Hodgman

    2007-06-01

    Full Text Available This paper focuses on the structural formation of the Sustainability Analysis Framework (SAF, which has proved to be an effective knowledge communication tool in the largest state administration in Australia, the Government of New South Wales. The SAF, devised by the author, has been implemented across thirty-eight state agencies and demonstrates that a whole of government Sustainability perspective is achievable. The level of the NSW Government's commitment to this process is evidenced by the fact that it was coordinated at the highest levels of the administration and engaged high-level input from a comprehensive portfolio of its agencies. The SAF's successful deployment across this significant bureaucracy shows that the generally applicable mechanism is effective in data collation, information sharing, knowledge organisation and the communication of Sustainability practice and wisdom. At the heart of the paper is the author's contention that one of the key problems which jeopardises our common future on Earth is the lack of effective tools to communicate Sustainability thinking and practice. In the course of the project, upon which this paper is based, the author identified the need for a visually and conceptually accessible mechanism to accelerate the uptake of Sustainability practice in a whole of organization context. In designing the SAF, which has successfully bridged this knowledge communication gap, the author employed two of humanity's fundamental learning tools – the diagram and the story.

  6. ChemicalTagger: A tool for semantic text-mining in chemistry.

    Science.gov (United States)

    Hawizy, Lezan; Jessop, David M; Adams, Nico; Murray-Rust, Peter

    2011-05-16

    The primary method for scientific communication is in the form of published scientific articles and theses which use natural language combined with domain-specific terminology. As such, they contain free owing unstructured text. Given the usefulness of data extraction from unstructured literature, we aim to show how this can be achieved for the discipline of chemistry. The highly formulaic style of writing most chemists adopt make their contributions well suited to high-throughput Natural Language Processing (NLP) approaches. We have developed the ChemicalTagger parser as a medium-depth, phrase-based semantic NLP tool for the language of chemical experiments. Tagging is based on a modular architecture and uses a combination of OSCAR, domain-specific regex and English taggers to identify parts-of-speech. The ANTLR grammar is used to structure this into tree-based phrases. Using a metric that allows for overlapping annotations, we achieved machine-annotator agreements of 88.9% for phrase recognition and 91.9% for phrase-type identification (Action names). It is possible parse to chemical experimental text using rule-based techniques in conjunction with a formal grammar parser. ChemicalTagger has been deployed for over 10,000 patents and has identified solvents from their linguistic context with >99.5% precision.

  7. ChemicalTagger: A tool for semantic text-mining in chemistry

    Directory of Open Access Journals (Sweden)

    Hawizy Lezan

    2011-05-01

    Full Text Available Abstract Background The primary method for scientific communication is in the form of published scientific articles and theses which use natural language combined with domain-specific terminology. As such, they contain free owing unstructured text. Given the usefulness of data extraction from unstructured literature, we aim to show how this can be achieved for the discipline of chemistry. The highly formulaic style of writing most chemists adopt make their contributions well suited to high-throughput Natural Language Processing (NLP approaches. Results We have developed the ChemicalTagger parser as a medium-depth, phrase-based semantic NLP tool for the language of chemical experiments. Tagging is based on a modular architecture and uses a combination of OSCAR, domain-specific regex and English taggers to identify parts-of-speech. The ANTLR grammar is used to structure this into tree-based phrases. Using a metric that allows for overlapping annotations, we achieved machine-annotator agreements of 88.9% for phrase recognition and 91.9% for phrase-type identification (Action names. Conclusions It is possible parse to chemical experimental text using rule-based techniques in conjunction with a formal grammar parser. ChemicalTagger has been deployed for over 10,000 patents and has identified solvents from their linguistic context with >99.5% precision.

  8. SNP mining porcine ESTs with MAVIANT, a novel tool for SNP evaluation and annotation

    DEFF Research Database (Denmark)

    Panitz, Frank; Stengaard, Henrik; Hornshoj, Henrik

    2007-01-01

    MOTIVATION: Single nucleotide polymorphisms (SNPs) analysis is an important means to study genetic variation. A fast and cost-efficient approach to identify large numbers of novel candidates is the SNP mining of large scale sequencing projects. The increasing availability of sequence trace data...... manual annotation, which is immediately accessible and can be easily shared with external collaborators. RESULTS: Large-scale SNP mining of polymorphisms bases on porcine EST sequences yielded more than 7900 candidate SNPs in coding regions (cSNPs), which were annotated relative to the human genome. Non...

  9. Business alignment: using process mining as a tool for delta analysis and conformance testing

    NARCIS (Netherlands)

    Aalst, van der W.M.P.

    2005-01-01

    Increasingly, business processes are being controlled and/or monitored by information systems. As a result, many business processes leave their "footprints" in transactional information systems, i.e., business events are recorded in so-called event logs. Process mining aims at improving this by

  10. Data from configuration management tools as sources for software process mining

    NARCIS (Netherlands)

    Trienekens, J.J.M.; Kusters, R.J.; Samalik, J.; Weijters, A.J.M.M.; Lavazza, L; Oberhauser, R; Martin, A; Hassine, J; Gebhart, M; Jäntti, M

    2013-01-01

    Process mining has proven to be a valuable approach that provides new and objective insights into processes within organizations. Based on sets of well-structured data, the underlying ‘actual’ processes can be extracted and process models can be constructed automatically, i.e., the process model can

  11. Operation and monitoring guidelines and the development of a screening tool for irrigating with coal mine water in Mpumalanga Province, South Africa

    Energy Technology Data Exchange (ETDEWEB)

    Vermeulen, D.; Usher, B. [University of Free State, Bloemfontein (South Africa). Institute of Groundwater Studies

    2009-07-15

    It is predicted that vast volumes of impacted mine water will be produced by mining activities in the Mpumalanga coalfields of South Africa. The potential environmental impact of this excess water is of great concern in a water-scarce country like South Africa. Detailed research has been undertaken over the past number of years onl both undisturbed soils and in coal-mining spoils. These sites range from sandy soils to very clayey soils. The results indicate that many of the soils have considerable attenuation capacities and that over the period of irrigation, a large proportion of the salts are contained in the upper portions of the unsaturated zones below each irrigation pivot. The volumes and quality of water leaching through to the aquifers have been quantified at each site. From these data mixing ratios were calculated in order to determine the effect of the irrigation water on the underlying aquifers. One of the outcomes from this study was to define the conditions under which mine-water irrigation can be implemented and the associated operational and monitoring guidelines that should be followed. These have been based on the findings from this study, the fundamental considerations of mine-water irrigation, the regulatory environment and, as far as possible, the practical implementation of mine-water irrigation as part of optimal mine-water management. In an attempt to standardise decision-making regarding mine-water irrigation, the criteria, data, rules and fundamentals discussed have been combined in a user-friendly tool, called GIMI (Groundwater Impacts from Minewater Irrigation). This tool should assist in the practical implementation of mine-water irrigation as part of optimal mine-water management.

  12. Analytical tools for managing rock fall hazards in Australian coal mine roadways

    Energy Technology Data Exchange (ETDEWEB)

    Ross Seedsman; Nick Gordon; Naj Aziz [University of Wollongong (Australia)

    2009-03-15

    This report provides a reference source for the design of ground control measures in coal mine roadways using analytical methods. Collapse models are provided for roof and rib. The roof models recognise that different collapse modes can apply in different stress fields - high, intermediate, and zero compressive stresses. The rib models draw analogies to rock slope stability and also the impact of high vertical stresses. Methods for determining support or reinforcement requirements are provided. Suspension of collapsed masses is identified as the basis for roof support in both very high and zero compressive stress regimes. Reinforcement of bedding discontinuities is advocated for intermediate compressive stresses. For the ribs, restraint of coal blocks defined by pre-existing joints or by mining induced fractures is required.

  13. Healthcare Building Sustainability Assessment tool - Sustainable Effective Design criteria in the Portuguese context

    International Nuclear Information System (INIS)

    Castro, Maria de Fátima; Mateus, Ricardo; Bragança, Luís

    2017-01-01

    Tools and methods to improve current practices and quality in the healthcare building sector are necessary to support decision-making at different building life cycle phases. Furthermore, Healthcare Building Sustainability Assessment (HBSA) Methods are based on criteria organised into different levels, such as categories and indicators. These criteria highlight aspects of significant importance when designing and operating a sustainable healthcare building. To bring more objectivity to the sustainability assessments, the standardisation bodies (CEN and ISO) proposed core indicators that should be used in the evaluation of the environmental, societal and economic performances of buildings. Nevertheless, relying on state of the art analysis, it is possible to conclude that there are aspects of major importance for the operation of healthcare buildings that are not considered in the HBSA methods. Thus, the aim of this paper is to discuss the context of sustainability assessment methods in the field of healthcare buildings and to present a proposal for the incorporation of Sustainable-Effective Design (SED) criteria in a new HBSA method. The used research method is innovative since in the development of the list of sustainability criteria it considers the opinion of main healthcare buildings' stakeholders, the existing healthcare assessment methods and the ISO and CEN standardisation works in the field of the methods to assess the sustainability of construction works. As a result, the proposed method is composed of fifty-two sustainability indicators that cover the different dimensions of the sustainability concept to support decision making during the design of a new or retrofitted healthcare building in urban areas. - Highlights: •A new system to assess the sustainability of healthcare buildings is presented. •We propose a method to develop the list of sustainability indicators for hospitals. •We propose a new concept – Sustainable-Effective Design (SED

  14. Dendritic Cells in the Context of Human Tumors: Biology and Experimental Tools.

    Science.gov (United States)

    Volovitz, Ilan; Melzer, Susanne; Amar, Sarah; Bocsi, József; Bloch, Merav; Efroni, Sol; Ram, Zvi; Tárnok, Attila

    2016-01-01

    Dendritic cells (DC) are the most potent and versatile antigen-presenting cells (APC) in the immune system. DC have an exceptional ability to comprehend the immune context of a captured antigen based on molecular signals identified from its vicinity. The analyzed information is then conveyed to other immune effector cells. Such capability enables DC to play a pivotal role in mediating either an immunogenic response or immune tolerance towards an acquired antigen. This review summarizes current knowledge on DC in the context of human tumors. It covers the basics of human DC biology, elaborating on the different markers, morphology and function of the different subsets of human DC. Human blood-borne DC are comprised of at least three subsets consisting of one plasmacytoid DC (pDC) and two to three myeloid DC (mDC) subsets. Some tissues have unique DC. Each subset has a different phenotype and function and may induce pro-tumoral or anti-tumoral effects. The review also discusses two methods fundamental to the research of DC on the single-cell level: multicolor flow cytometry (FCM) and image-based cytometry (IC). These methods, along with new genomics and proteomics tools, can provide high-resolution information on specific DC subsets and on immune and tumor cells with which they interact. The different layers of collected biological data may then be integrated using Immune-Cytomics modeling approaches. Such novel integrated approaches may help unravel the complex network of cellular interactions that DC carry out within tumors, and may help harness this complex immunological information into the development of more effective treatments for cancer.

  15. G2D: a tool for mining genes associated with disease

    OpenAIRE

    Perez-Iratxeta, Carolina; Wjst, Matthias; Bork, Peer; Andrade, Miguel A

    2005-01-01

    Abstract Background Human inherited diseases can be associated by genetic linkage with one or more genomic regions. The availability of the complete sequence of the human genome allows examining those locations for an associated gene. We previously developed an algorithm to prioritize genes on a chromosomal region according to their possible relation to an inherited disease using a combination of data mining on biomedical databases and gene sequence analysis. Results We have implemented this ...

  16. Water, not gold : campesinos defining and acting citizenship in the context of mining projects in rural Cajamarca, Peru

    OpenAIRE

    Viitala, Jenni

    2017-01-01

    This thesis is an ethnographic study of the political agency of campesinos, rural inhabitants, who live in the area of many large mining projects in the Andean region of Cajamarca, Peru. The main focus is on gold mining projects called Yanacocha and Conga. Yanacocha is currently the largest gold producer in South America, and Conga is a proposed offshoot of the current mine. The Conga project was halted, yet not cancelled in 2011 partly due to local resistance. Since the locals were able to a...

  17. Use of geoprocessing tools in uranium mining: volume estimation of sterile piles from the Osamu Utsumi Mine of INB / Caldas; Utilização de ferramentas de geoprocessamento na mineração de urânio: estimativa de volume de pilhas de estéril da Mina Osamu Utsumi da INB/ Caldas

    Energy Technology Data Exchange (ETDEWEB)

    Ferreira, A.M.; Menezes, P.H.B.J., E-mail: adrianomotaferreira@gmail.com [Universidade Federal de Alfenas (ICT/UNIFAL), Poços de Caldas, MG (Brazil). Instituto de Ciência e Tecnologia; Alberti, H.L.C.; Silva, N.C. da; Goda, R.T. [Comissão Nacional de Energia Nuclear (LAPOC/CNEN), Pocos de Caldas, MG (Brazil). Lab. de Pocos de Caldas

    2017-07-01

    The determination of the volumes of the sterile piles generated in the uranium mining and their respective characterization is of extreme importance for the management of mining wastes and future decommissioning actions of a nuclear facility. With the development of information technology, it becomes possible to simulate different scenarios in a computational environment, being able to store, represent and process data from existing information. In the industrial mining context, the sterile is represented with rocky materials of different granulometries and with ore content below the cut content determined by the industrial process. In this sense, the present work has the objective of calculating the volume of the sterile stacks of the Osamu Utsumi uranium mine of INB - Nuclear Industries of Brazil / Caldas. The MOU was officially inaugurated in 1977 and operated until 1995, where 1,200 tons of U{sub 2}O{sub 3} were produced generating about 94.5 x 106 tons of sterile material containing low levels of radioactive material and pyrite. The methodology for the development of this work initially involves integration approaches between the Geographic Information System (GIS) and terrain modeling for the sterile piles called BF4 and BF8. The results obtained were compared with the existing literature, translating the importance of GIS as a tool in the management of wastes.

  18. IMPLEMENTATION OF THE MINESIGHT® TOOLS IN THE LAS CUEVAS MINE OF VALE COAL COMPANY IN COLOMBIA

    OpenAIRE

    GIOVANNI FRANCO SEPÚLVEDA; ADRIÁN FELIPE GALLO SIERRA; CRISTIAN CAMILO HENAO GÓMEZ; WILLY JOSÉ CORZO LINARES

    2012-01-01

    Este trabajo expone la implementación de herramientas MineSight® en un proyecto hipotético que será tomado como base en la mina Las Cuevas, apoyado en la modelación convencional, configuración del proyecto, desiegues, manipulación de sondajes, la creación del modelo geológico y de bloques, que permita determinar con confianza los recursos explotables del mineral de interés. Se presentan las generalidades del proyecto seguido de un caso de estudio hipotético, que inicia con la generación de po...

  19. Self-powered remotely controlled machines and tools for safety improvement in mining

    Energy Technology Data Exchange (ETDEWEB)

    Mirzaeva, G. [University of Newcastle, Callaghan, NSW (Australia)

    2005-07-01

    This paper addresses the problem of meeting the safety requirements of mining industry for implementation of control and monitoring equipment without external wiring. Local power generation and accumulation combined with remote control and wireless data transmission are suggested as an appropriate way to make the implementation of such device safe and convenient, which in its turn would facilitate their wider application for automation and safety improvement. A rope shovel dipper trip system is discussed in detail as an example of a self-powered remotely-controlled system. Other possible applications of the concept are also identified, such as Armoured Face Conveyor (AFC) and water jet drilling operation monitoring. 5 refs., 6 figs.

  20. The Practice of Mining Companies in Building Relationships with Local Communities in the Context of CSR Formula

    Directory of Open Access Journals (Sweden)

    Marzena Majer

    2013-01-01

    Full Text Available This paper presents results regarding the analysis of activities of coal mining companies operating in Poland in terms of Corporate Social Responsibility (CSR, with a particular emphasis focused on the area of community involvement. This sphere is extremely important for entities operating in the sector due to the scale of the impact on the social environment and the potential threat of resistance from local communities. Mining companies have developed forms of action in this area and are subject to a number of legal regulations, especially in such critical points as mining damages or acquiring concessions for mining operations. Therefore, it is worth analysing these issues from the perspective of the CSR formula, and the way in which mining companies build a relationship with stakeholder groups which are undoubtedly the local communities. This represents a specific challenge for mining companies and requires a change in management approach based on the acceptance of responsibility for the impact they have and to seek solutions that will benefit both the companies themselves and their surroundings. It should also affect the change in approach for building relationships with local groups beyond just the legal requirements.

  1. Web Usage Mining Analysis of Federated Search Tools for Egyptian Scholars

    Science.gov (United States)

    Mohamed, Khaled A.; Hassan, Ahmed

    2008-01-01

    Purpose: This paper aims to examine the behaviour of the Egyptian scholars while accessing electronic resources through two federated search tools. The main purpose of this article is to provide guidance for federated search tool technicians and support teams about user issues, including the need for training. Design/methodology/approach: Log…

  2. The PRoM framework : a new era in process mining tool support

    NARCIS (Netherlands)

    Dongen, van B.F.; Alves De Medeiros, A.K.; Verbeek, H.M.W.; Weijters, A.J.M.M.; Aalst, van der W.M.P.; Ciardo, G.; Darondeau, P.

    2005-01-01

    Under the umbrella of buzzwords such as Business Activity Monitoring (BAM) and Business Process Intelligence (BPI) both academic (e.g., EMiT, Little Thumb, InWoLvE, Process Miner, and MinSoN) and commercial tools (e.g., ARIS PPM, HP BPI, and ILOG JViews) have been developed. The goal of these tools

  3. Text Mining for Drugs and Chemical Compounds: Methods, Tools and Applications.

    Science.gov (United States)

    Vazquez, Miguel; Krallinger, Martin; Leitner, Florian; Valencia, Alfonso

    2011-06-01

    Providing prior knowledge about biological properties of chemicals, such as kinetic values, protein targets, or toxic effects, can facilitate many aspects of drug development. Chemical information is rapidly accumulating in all sorts of free text documents like patents, industry reports, or scientific articles, which has motivated the development of specifically tailored text mining applications. Despite the potential gains, chemical text mining still faces significant challenges. One of the most salient is the recognition of chemical entities mentioned in text. To help practitioners contribute to this area, a good portion of this review is devoted to this issue, and presents the basic concepts and principles underlying the main strategies. The technical details are introduced and accompanied by relevant bibliographic references. Other tasks discussed are retrieving relevant articles, identifying relationships between chemicals and other entities, or determining the chemical structures of chemicals mentioned in text. This review also introduces a number of published applications that can be used to build pipelines in topics like drug side effects, toxicity, and protein-disease-compound network analysis. We conclude the review with an outlook on how we expect the field to evolve, discussing its possibilities and its current limitations. Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  4. Hydroponics as a valid tool to assess arsenic availability in mine soils.

    Science.gov (United States)

    Moreno-Jiménez, E; Esteban, E; Fresno, T; de Egea, C López; Peñalosa, J M

    2010-04-01

    The low solubility of As in mine soils limits its phytoavailability. This makes the extrapolation of data obtained under hydroponic conditions unrealistic because the concentration in nutrient solution frequently overexposes plants to this metalloid. This work evaluates whether As supply in hydroponics resembles, to some extent, the As phytoavailable fraction in soils and the implications for phytoremediation. Phytotoxicity of As, in terms of biomass production, chlorophyll levels, and As concentrations in plants, was estimated and compared in both soils and hydroponics. In order for hydroponic conditions to be compared to soil conditions, plant exposure levels were measured in both cultures. Hydroponic As concentration ranging from 2-8microM equated to the same plant organ concentrations from soils with 700-3000mgkg(-1). Total and extractable As fractions exceeded those values, but As concentrations in pore water were bellow them. According to our results (i) hydroponics should include doses in the range 0-10microM As to allow the extrapolation of the results to As-polluted soils, and (ii) phytoextraction of As in mining sites will be limited by low As phytoavailability.

  5. When your arm becomes mine: pathological embodiment of alien limbs using tools modulates own body representation.

    Science.gov (United States)

    Garbarini, Francesca; Fossataro, Carlotta; Berti, Anna; Gindri, Patrizia; Romano, Daniele; Pia, Lorenzo; della Gatta, Francesco; Maravita, Angelo; Neppi-Modona, Marco

    2015-04-01

    Previous evidence has shown that active tool-use can reshape one's own body schema, extend peripersonal space and modulate the representation of related body parts. Here we investigate the effect of tool-use training on length representation of the contralesional forearm in brain-damaged hemiplegic patients who manifested a pathological embodiment of other people body parts. Four patients and 20 aged-matched healthy-controls were asked to estimate the mid-point of their contralesional forearm before and after 15 min of tool-use training (i.e. retrieving targets with a garbage plier). In the case of patients, training was always performed by the examiner's (alien) arm acting in two different positions, aligned (where the pathological embodiment occurs; E+ condition) or misaligned (where the pathological embodiment does not occur; E- condition) relative to the patients' shoulder. Healthy controls performed tool-use training either with their own arm (action condition) or observing the examiner's arm performing the task (observation condition), handling (observation with-tool condition) or not (observation without-tool condition) a similar tool. Crucially, in the E+ condition, when patients were convinced to perform the tool-use training with their own paralyzed arm, a significant overestimation effect was found (as in the Action condition with normal subjects): patients mislocated their forearm midpoint more proximally to the hand in the post- than in the pre-training phase. Conversely, in the E- condition, they did not show any overestimation effect, similarly to healthy subjects in the observation condition (neither in the with-tool nor in the without-tool condition significant overestimation effects were found). These findings show the existence of a tight link between spatial, motor and bodily representations and provide strong evidence that a pathological sense of body ownership can extend to intentional motor processes and modulate the sensory map of action

  6. Wild plants as tools for the remediation of abandoned mining sites with a high arsenic content

    Science.gov (United States)

    Martínez-Lopez, Salvadora; Martínez-Sanchez, MJose; Perez-Sirvent, Carmen; Martínez, Lucia B.; Bech, Jaume

    2014-05-01

    The aim of this study was to assess the environmental risk posed by arsenic when new vegetation types are introduced, analyzing the transfer of arsenic in different plant species that grow spontaneously in mining areas of SE Spain (Sierra Minera of Cartagena), and the contribution of such plants to the environmental risk represented by their ingestion by animals living in the same ecosystems. When dealing with remediation projects in zones affected by mining activities, the risk posed by the ingestion of the plants by fauna is often forgotten. To study the transfer to the trophic chain, two mammals, sheep and vole, were selected. The risk analysis was centered in the contribution of these natural plants to the ingestion calculated. For this study, 21 vegetal species naturally growing in the soils were collected from the Sierra Minera. The vegetal material studied is clearly associated with the Mediterranean Region (S.E. of Spain) and the plant species collected are endemisms and plants characteristic of the zone. Physico-chemical properties were obtained by means of the usual procedures. To determine the arsenic content, the soil samples and plant materials were digested in a microwave system and the arsenic concentration was determined using atomic fluorescence spectrometry with an automated continuous flow hydride generation system. A semiquantitative estimation of the mineralogical composition of the samples was made by X Ray Diffraction analysis. The soils were classified into three groups: Low (group 1) (7-35 mg/kg) medium (group 2) (35-327 mg/kg) and high (group 3) (> 327 mg/kg), according to their As content. The mineralogy and As content of the soils studied depends on the materials related with mining activity. The descriptive statistical analysis of the population of plants studied showed the As range in roots to be 0.31-150 mg/kg while leaf concentrations were lower (0.21-83.4 mg/kg). The potential risk of As entering the food chain through of the plant

  7. The gold analyser: a tool for valuation and a means for improved mining decisions

    International Nuclear Information System (INIS)

    Stewart, J.M.; Nami, M.

    1986-01-01

    The erratic values of gold grade in Witwatersrand placer deposits necessitates the collection of large numbers of samples for accurate valuation and ore reserve estimation. Owing to manpower requirements current sampling techniques do not allow for the collection of sufficiently large numbers of samples. A portable gold analyser, which is at an advanced stage of development, is expected to alleviate this problem. It is a lightweight instrument, intended for one-man operation, and is based on energy dispersive X-ray fluorescence principles for determining gold and other mineral concentrations. The instrument is designed for in situ face scanning operations and provides a direct readout and internal storage of the measured gold concentration. The immediate availability of an estimate of gold grade should significantly improve the quality of short-term panel-scale mining decisions. Data are presented to show the improved precision in valuation using the gold analyser instead of conventional chip sampling

  8. Wire screens as a tool for survey measurements of the unattached radon progeny in mines

    International Nuclear Information System (INIS)

    Janica, R.

    1996-07-01

    The radon hazard in mines is assessed by measuring the radioactivity accumulated on filters through which air is forced to flow. The filter collects both forms of the short-lived radon progeny, attached and unattached, and, therefore, the assessment is based on the measurement of the total radon progeny. Because of the special radiological significance of the unattached fraction of the short-lived radon progeny, the estimation of the radiation hazard to miners would be improved if the unattached fraction could be measured. This report describes two methods of measurement for the simultaneous determination of the unattached and the total radon progeny. The proposed methods comply with the criterion of practicality (imposed by the working conditions in the mine environment), that is, they are implemented using standard survey equipment and simple procedures. Both methods use wire screens to collect, preferentially, the unattached fraction. According to the first method, air is sampled through a wire screen and a backup filter, and the radioactivity accumulated on both the filter and the wire screen are measured separately using standard counting protocols (e.g. the Kusnetz protocol). The wire screen's efficiency for collecting the unattached radon progeny is determined, in advance, under laboratory conditions. The method assumes the validity of the collection efficiencies when the screens are used under field conditions. To avoid the uncertainty of the lab-determined collection efficiency, a new measuring method was proposed based on the sampling of air through two screens in series and a backup filter. The measurement of the ratio of the activities deposited on both screens allows an estimation of the screen collection efficiency under field conditions. Once this is done, the 'unattached fraction' and total radon progeny are determined by counting only one of the screens and the backup filter as described in the previous method. (author). 73 refs., 8 tabs., 21 figs

  9. Evaluation of Internet Social Networks using Net scoring Tool: A Case Study in Adverse Drug Reaction Mining.

    Science.gov (United States)

    Katsahian, Sandrine; Simond Moreau, Erica; Leprovost, Damien; Lardon, Jeremy; Bousquet, Cedric; Kerdelhué, Gaétan; Abdellaoui, Redhouane; Texier, Nathalie; Burgun, Anita; Boussadi, Abdelali; Faviez, Carole

    2015-01-01

    Suspected adverse drug reactions (ADR) reported by patients through social media can be a complementary tool to already existing ADRs signal detection processes. However, several studies have shown that the quality of medical information published online varies drastically whatever the health topic addressed. The aim of this study is to use an existing rating tool on a set of social network web sites in order to assess the capabilities of these tools to guide experts for selecting the most adapted social network web site to mine ADRs. First, we reviewed and rated 132 Internet forums and social networks according to three major criteria: the number of visits, the notoriety of the forum and the number of messages posted in relation with health and drug therapy. Second, the pharmacist reviewed the topic-oriented message boards with a small number of drug names to ensure that they were not off topic. Six experts have been chosen to assess the selected internet forums using a French scoring tool: Net scoring. Three different scores and the agreement between experts according to each set of scores using weighted kappa pooled using mean have been computed. Three internet forums were chosen at the end of the selection step. Some criteria get high score (scores 3-4) no matter the website evaluated like accessibility (45-46) or design (34-36), at the opposite some criteria always have bad scores like quantitative (40-42) and ethical aspect (43-44), hyperlinks actualization (30-33). Kappa were positives but very small which corresponds to a weak agreement between experts. The personal opinion of the expert seems to have a major impact, undermining the relevance of the criterion. Our future work is to collect results given by this evaluation grid and proposes a new scoring tool for Internet social networks assessment.

  10. A Mapping of Tools for Informing Water Sensitive Urban Design Planning Decisions—Questions, Aspects and Context Sensitivity

    Directory of Open Access Journals (Sweden)

    Sara Maria Lerer

    2015-03-01

    Full Text Available Water Sensitive Urban Design (WSUD poses new challenges for decision makers compared with traditional stormwater management, e.g., because WSUD offers a larger selection of measures and because many measures are multifunctional. These challenges have motivated the development of many decision support tools. This review shows that the tools differ in terms of the types of questions they can assist in answering. We identified three main groups: “How Much”-tools, “Where”-tools and “Which”-tools. The “How Much”-tools can further be grouped into tools quantifying hydraulic impacts, hydrologic impacts, water quality impacts, non-flow-related impacts and economic impacts. Additionally, the tools differ in terms of how many aspects of water they address, from those focused only on bio-physical aspects to those attempting to find the best WSUD based on multiple criteria. Finally, we suggest that variability among the tools can partly be explained by variability in local context including conditions such as type of existing stormwater systems, groundwater conditions and legislative frameworks.

  11. The reform of mining law in the context of shale gas prospects: which regime and which evolutions?

    International Nuclear Information System (INIS)

    Lanoy, Laurence

    2012-01-01

    Announced for several years, the reform of mining law in France is intended to clarify a disparate law suite while adapting the code to new environmental and societal stakes. This evolution is highly related to the interdiction of hydraulic fracturing on the French soil, and one of the major stakes of the reform is based on the enhancement of public information (through information transparency and accessibility) and participation (public enquiries, etc.). The reform is also due to take into account the introduction of environmental management approaches and the indemnification or compensation for mining damages

  12. The environmental context of Acidithiobacillus ferrooxidans and its potential role as an ecosystem engineer in sulphidic mine waste

    Energy Technology Data Exchange (ETDEWEB)

    Ebenaa, Gustav

    2001-06-01

    Microorganisms are the causative agent of the environmental problems since they catalyse the weathering of the (sulphidic) waste. The chemical oxidation alone is not fast enough to create any severe environmental problems. Acidithiobacillus ferrooxidans is thought to be a key organism in weathering of sulphide minerals. A. ferrooxidans is affected by several more or less abiotic factors. The influence of temperature, pH and nutrient deficiency as potentially limiting factors for the activity of A. ferrooxidans has been investigated. It seems that temperature has less influence on its activity, but rather reflects the origin of the bacterial isolate. An alkaline pH seems enough to hinder growth and activity. The nutrients do not seem to be a limiting factor in the studied environment. The possible regulation of the activity of A. ferrooxidans is therefore a way to, at least partly, mitigate the environmental impact from mine waste. Waste from the mining industry is the largest waste problem in Sweden. With amounts over 600 million tonnes one could easily imagine the tremendous cost involved in the abatement. The MiMi-programme, with researchers from several relevant fields, has as its aim to evaluate present and to find alternative techniques to mitigate the environmental impact from mine waste. The understanding of A. ferrooxidans and its role as an ecosystem engineer is essential both in evaluating present techniques and even more so in finding alternative abatement techniques for sulphidic mine waste.

  13. Improvement of the Prediction of Drugs Demand Using Spatial Data Mining Tools.

    Science.gov (United States)

    Ramos, M Isabel; Cubillas, Juan José; Feito, Francisco R

    2016-01-01

    The continued availability of products at any store is the major issue in order to provide good customer service. If the store is a drugstore this matter reaches a greater importance, as out of stock of a drug when there is high demand causes problems and tensions in the healthcare system. There are numerous studies of the impact this issue has on patients. The lack of any drug in a pharmacy in certain seasons is very common, especially when some external factors proliferate favoring the occurrence of certain diseases. This study focuses on a particular drug consumed in the city of Jaen, southern Andalucia, Spain. Our goal is to determine in advance the Salbutamol demand. Advanced data mining techniques have been used with spatial variables. These last have a key role to generate an effective model. In this research we have used the attributes that are associated with Salbutamol demand and it has been generated a very accurate prediction model of 5.78% of mean absolute error. This is a very encouraging data considering that the consumption of this drug in Jaen varies 500% from one period to another.

  14. Transplantation of epiphytic bioaccumulators (Tillandsia capillaris) for high spatial resolution biomonitoring of trace elements and point sources deconvolution in a complex mining/smelting urban context

    Science.gov (United States)

    Goix, Sylvaine; Resongles, Eléonore; Point, David; Oliva, Priscia; Duprey, Jean Louis; de la Galvez, Erika; Ugarte, Lincy; Huayta, Carlos; Prunier, Jonathan; Zouiten, Cyril; Gardon, Jacques

    2013-12-01

    Monitoring atmospheric trace elements (TE) levels and tracing their source origin is essential for exposure assessment and human health studies. Epiphytic Tillandsia capillaris plants were used as bioaccumulator of TE in a complex polymetallic mining/smelting urban context (Oruro, Bolivia). Specimens collected from a pristine reference site were transplanted at a high spatial resolution (˜1 sample/km2) throughout the urban area. About twenty-seven elements were measured after a 4-month exposure, also providing new information values for reference material BCR482. Statistical power analysis for this biomonitoring mapping approach against classical aerosols surveys performed on the same site showed the better aptitude of T. Capillaris to detect geographical trend, and to deconvolute multiple contamination sources using geostatistical principal component analysis. Transplanted specimens in the vicinity of the mining and smelting areas were characterized by extreme TE accumulation (Sn > Ag > Sb > Pb > Cd > As > W > Cu > Zn). Three contamination sources were identified: mining (Ag, Pb, Sb), smelting (As, Sn) and road traffic (Zn) emissions, confirming results of previous aerosol survey.

  15. Adaptation of the Tool to Estimate Patient Costs Questionnaire into Indonesian Context for Tuberculosis-affected Households.

    Science.gov (United States)

    Fuady, Ahmad; Houweling, Tanja A; Mansyur, Muchtaruddin; Richardus, Jan H

    2018-01-01

    Indonesia is the second-highest country for tuberculosis (TB) incidence worldwide. Hence, it urgently requires improvements and innovations beyond the strategies that are currently being implemented throughout the country. One fundamental step in monitoring its progress is by preparing a validated tool to measure total patient costs and catastrophic total costs. The World Health Organization (WHO) recommends using a version of the generic questionnaire that has been adapted to the local cultural context in order to interpret findings correctly. This study is aimed to adapt the Tool to Estimate Patient Costs questionnaire into the Indonesian context, which measures total costs and catastrophic total costs for tuberculosis-affected households. the tool was adapted using best-practice guidelines. On the basis of a pre-test performed in a previous study (referred to as Phase 1 Study), we refined the adaptation process by comparing it with the generic tool introduced by the WHO. We also held an expert committee review and performed pre-testing by interviewing 30 TB patients. After pre-testing, the tool was provided with complete explanation sheets for finalization. seventy-two major changes were made during the adaptation process including changing the answer choices to match the Indonesian context, refining the flow of questions, deleting questions, changing some words and restoring original questions that had been changed in Phase 1 Study. Participants indicated that most questions were clear and easy to understand. To address recall difficulties by the participants, we made some adaptations to obtain data that might be missing, such as tracking data to medical records, developing a proxy of costs and guiding interviewers to ask for a specific value when participants were uncertain about the estimated market value of property they had sold. the adapted Tool to Estimate Patient Costs in Bahasa Indonesia is comprehensive and ready for use in future studies on TB

  16. SNPranker 2.0: a gene-centric data mining tool for diseases associated SNP prioritization in GWAS.

    Science.gov (United States)

    Merelli, Ivan; Calabria, Andrea; Cozzi, Paolo; Viti, Federica; Mosca, Ettore; Milanesi, Luciano

    2013-01-01

    The capability of correlating specific genotypes with human diseases is a complex issue in spite of all advantages arisen from high-throughput technologies, such as Genome Wide Association Studies (GWAS). New tools for genetic variants interpretation and for Single Nucleotide Polymorphisms (SNPs) prioritization are actually needed. Given a list of the most relevant SNPs statistically associated to a specific pathology as result of a genotype study, a critical issue is the identification of genes that are effectively related to the disease by re-scoring the importance of the identified genetic variations. Vice versa, given a list of genes, it can be of great importance to predict which SNPs can be involved in the onset of a particular disease, in order to focus the research on their effects. We propose a new bioinformatics approach to support biological data mining in the analysis and interpretation of SNPs associated to pathologies. This system can be employed to design custom genotyping chips for disease-oriented studies and to re-score GWAS results. The proposed method relies (1) on the data integration of public resources using a gene-centric database design, (2) on the evaluation of a set of static biomolecular annotations, defined as features, and (3) on the SNP scoring function, which computes SNP scores using parameters and weights set by users. We employed a machine learning classifier to set default feature weights and an ontological annotation layer to enable the enrichment of the input gene set. We implemented our method as a web tool called SNPranker 2.0 (http://www.itb.cnr.it/snpranker), improving our first published release of this system. A user-friendly interface allows the input of a list of genes, SNPs or a biological process, and to customize the features set with relative weights. As result, SNPranker 2.0 returns a list of SNPs, localized within input and ontologically enriched genes, combined with their prioritization scores. Different

  17. Development of a data mining and imaging informatics display tool for a multiple sclerosis e-folder system

    Science.gov (United States)

    Liu, Margaret; Loo, Jerry; Ma, Kevin; Liu, Brent

    2011-03-01

    Multiple sclerosis (MS) is a debilitating autoimmune disease of the central nervous system that damages axonal pathways through inflammation and demyelination. In order to address the need for a centralized application to manage and study MS patients, the MS e-Folder - a web-based, disease-specific electronic medical record system - was developed. The e-Folder has a PHP and MySQL based graphical user interface (GUI) that can serve as both a tool for clinician decision support and a data mining tool for researchers. This web-based GUI gives the e-Folder a user friendly interface that can be securely accessed through the internet and requires minimal software installation on the client side. The e-Folder GUI displays and queries patient medical records--including demographic data, social history, past medical history, and past MS history. In addition, DICOM format imaging data, and computer aided detection (CAD) results from a lesion load algorithm are also displayed. The GUI interface is dynamic and allows manipulation of the DICOM images, such as zoom, pan, and scrolling, and the ability to rotate 3D images. Given the complexity of clinical management and the need to bolster research in MS, the MS e-Folder system will improve patient care and provide MS researchers with a function-rich patient data hub.

  18. Extending CPN tools with ontologies to support the management of context-adaptive business processes

    OpenAIRE

    Serral Asensio, Estefanía; De Smedt, Johannes; Vanthienen, Jan

    2015-01-01

    Colored Petri Nets (CPN) are a widely used graphical modeling language to manage business processes. Business processes often appear in dynamic environments; therefore, context adaptation has recently emerged as a new challenge to explicitly addressfitness between business process modeling and its execution environment. Although CPN can introduce data by dedefining internal data records, this is not enough to capture the complexity and dynamics of the execution context data. This paper ext...

  19. A COMPUTATIONAL FRAMEWORK INVOLVING CFD AND DATA MINING TOOLS FOR ANALYZING DISEASE IN CAROTID ARTERY BIFURCATION

    OpenAIRE

    Tabib, Mandar; Rasheed, Adil; Fonn, Eivind

    2017-01-01

    Cardiovascular diseases, like Carotid Artery Disease and Coronary Artery Disease (CAD) are associated with the narrowing of artery due to build-up of fatty substances and cholesterol deposits (called plaque). Carotid Artery Disease increases the chances of brain stroke. Hence, the main objective of this work is to apply computational tools to help differentiate between the healthy and unhealthy artery (with 25% stenosis) using a combination of Computational Fluid Dynamics (CFD) and data minin...

  20. What can management theories offer evidence-based practice? A comparative analysis of measurement tools for organisational context

    Science.gov (United States)

    French, Beverley; Thomas, Lois H; Baker, Paula; Burton, Christopher R; Pennington, Lindsay; Roddam, Hazel

    2009-01-01

    Background Given the current emphasis on networks as vehicles for innovation and change in health service delivery, the ability to conceptualise and measure organisational enablers for the social construction of knowledge merits attention. This study aimed to develop a composite tool to measure the organisational context for evidence-based practice (EBP) in healthcare. Methods A structured search of the major healthcare and management databases for measurement tools from four domains: research utilisation (RU), research activity (RA), knowledge management (KM), and organisational learning (OL). Included studies were reports of the development or use of measurement tools that included organisational factors. Tools were appraised for face and content validity, plus development and testing methods. Measurement tool items were extracted, merged across the four domains, and categorised within a constructed framework describing the absorptive and receptive capacities of organisations. Results Thirty measurement tools were identified and appraised. Eighteen tools from the four domains were selected for item extraction and analysis. The constructed framework consists of seven categories relating to three core organisational attributes of vision, leadership, and a learning culture, and four stages of knowledge need, acquisition of new knowledge, knowledge sharing, and knowledge use. Measurement tools from RA or RU domains had more items relating to the categories of leadership, and acquisition of new knowledge; while tools from KM or learning organisation domains had more items relating to vision, learning culture, knowledge need, and knowledge sharing. There was equal emphasis on knowledge use in the different domains. Conclusion If the translation of evidence into knowledge is viewed as socially mediated, tools to measure the organisational context of EBP in healthcare could be enhanced by consideration of related concepts from the organisational and management sciences

  1. What can management theories offer evidence-based practice? A comparative analysis of measurement tools for organisational context

    Directory of Open Access Journals (Sweden)

    Pennington Lindsay

    2009-05-01

    Full Text Available Abstract Background Given the current emphasis on networks as vehicles for innovation and change in health service delivery, the ability to conceptualise and measure organisational enablers for the social construction of knowledge merits attention. This study aimed to develop a composite tool to measure the organisational context for evidence-based practice (EBP in healthcare. Methods A structured search of the major healthcare and management databases for measurement tools from four domains: research utilisation (RU, research activity (RA, knowledge management (KM, and organisational learning (OL. Included studies were reports of the development or use of measurement tools that included organisational factors. Tools were appraised for face and content validity, plus development and testing methods. Measurement tool items were extracted, merged across the four domains, and categorised within a constructed framework describing the absorptive and receptive capacities of organisations. Results Thirty measurement tools were identified and appraised. Eighteen tools from the four domains were selected for item extraction and analysis. The constructed framework consists of seven categories relating to three core organisational attributes of vision, leadership, and a learning culture, and four stages of knowledge need, acquisition of new knowledge, knowledge sharing, and knowledge use. Measurement tools from RA or RU domains had more items relating to the categories of leadership, and acquisition of new knowledge; while tools from KM or learning organisation domains had more items relating to vision, learning culture, knowledge need, and knowledge sharing. There was equal emphasis on knowledge use in the different domains. Conclusion If the translation of evidence into knowledge is viewed as socially mediated, tools to measure the organisational context of EBP in healthcare could be enhanced by consideration of related concepts from the organisational

  2. What can management theories offer evidence-based practice? A comparative analysis of measurement tools for organisational context.

    Science.gov (United States)

    French, Beverley; Thomas, Lois H; Baker, Paula; Burton, Christopher R; Pennington, Lindsay; Roddam, Hazel

    2009-05-19

    Given the current emphasis on networks as vehicles for innovation and change in health service delivery, the ability to conceptualize and measure organisational enablers for the social construction of knowledge merits attention. This study aimed to develop a composite tool to measure the organisational context for evidence-based practice (EBP) in healthcare. A structured search of the major healthcare and management databases for measurement tools from four domains: research utilisation (RU), research activity (RA), knowledge management (KM), and organisational learning (OL). Included studies were reports of the development or use of measurement tools that included organisational factors. Tools were appraised for face and content validity, plus development and testing methods. Measurement tool items were extracted, merged across the four domains, and categorised within a constructed framework describing the absorptive and receptive capacities of organisations. Thirty measurement tools were identified and appraised. Eighteen tools from the four domains were selected for item extraction and analysis. The constructed framework consists of seven categories relating to three core organisational attributes of vision, leadership, and a learning culture, and four stages of knowledge need, acquisition of new knowledge, knowledge sharing, and knowledge use. Measurement tools from RA or RU domains had more items relating to the categories of leadership, and acquisition of new knowledge; while tools from KM or learning organisation domains had more items relating to vision, learning culture, knowledge need, and knowledge sharing. There was equal emphasis on knowledge use in the different domains. If the translation of evidence into knowledge is viewed as socially mediated, tools to measure the organisational context of EBP in healthcare could be enhanced by consideration of related concepts from the organisational and management sciences. Comparison of measurement tools across

  3. Developing the School Physical Activity and Nutrition Environment Tool to Measure Qualities of the Obesogenic Context

    Science.gov (United States)

    John, Deborah H.; Gunter, Katherine; Jackson, Jennifer A.; Manore, Melinda

    2016-01-01

    Background: Practical tools are needed that reliably measure the complex physical activity (PA) and nutrition environments of elementary schools that influence children's health and learning behaviors for obesity prevention. The School Physical Activity and Nutrition-Environment Tool (SPAN-ET) was developed and beta tested in 6 rural Oregon…

  4. Exploring the potential of a structural alphabet-based tool for mining multiple target conformations and target flexibility insight.

    Science.gov (United States)

    Regad, Leslie; Chéron, Jean-Baptiste; Triki, Dhoha; Senac, Caroline; Flatters, Delphine; Camproux, Anne-Claude

    2017-01-01

    Protein flexibility is often implied in binding with different partners and is essential for protein function. The growing number of macromolecular structures in the Protein Data Bank entries and their redundancy has become a major source of structural knowledge of the protein universe. The analysis of structural variability through available redundant structures of a target, called multiple target conformations (MTC), obtained using experimental or modeling methods and under different biological conditions or different sources is one way to explore protein flexibility. This analysis is essential to improve the understanding of various mechanisms associated with protein target function and flexibility. In this study, we explored structural variability of three biological targets by analyzing different MTC sets associated with these targets. To facilitate the study of these MTC sets, we have developed an efficient tool, SA-conf, dedicated to capturing and linking the amino acid and local structure variability and analyzing the target structural variability space. The advantage of SA-conf is that it could be applied to divers sets composed of MTCs available in the PDB obtained using NMR and crystallography or homology models. This tool could also be applied to analyze MTC sets obtained by dynamics approaches. Our results showed that SA-conf tool is effective to quantify the structural variability of a MTC set and to localize the structural variable positions and regions of the target. By selecting adapted MTC subsets and comparing their variability detected by SA-conf, we highlighted different sources of target flexibility such as induced by binding partner, by mutation and intrinsic flexibility. Our results support the interest to mine available structures associated with a target using to offer valuable insight into target flexibility and interaction mechanisms. The SA-conf executable script, with a set of pre-compiled binaries are available at http://www.mti.univ-paris-diderot.fr/recherche/plateformes/logiciels.

  5. Exploring the potential of a structural alphabet-based tool for mining multiple target conformations and target flexibility insight.

    Directory of Open Access Journals (Sweden)

    Leslie Regad

    Full Text Available Protein flexibility is often implied in binding with different partners and is essential for protein function. The growing number of macromolecular structures in the Protein Data Bank entries and their redundancy has become a major source of structural knowledge of the protein universe. The analysis of structural variability through available redundant structures of a target, called multiple target conformations (MTC, obtained using experimental or modeling methods and under different biological conditions or different sources is one way to explore protein flexibility. This analysis is essential to improve the understanding of various mechanisms associated with protein target function and flexibility. In this study, we explored structural variability of three biological targets by analyzing different MTC sets associated with these targets. To facilitate the study of these MTC sets, we have developed an efficient tool, SA-conf, dedicated to capturing and linking the amino acid and local structure variability and analyzing the target structural variability space. The advantage of SA-conf is that it could be applied to divers sets composed of MTCs available in the PDB obtained using NMR and crystallography or homology models. This tool could also be applied to analyze MTC sets obtained by dynamics approaches. Our results showed that SA-conf tool is effective to quantify the structural variability of a MTC set and to localize the structural variable positions and regions of the target. By selecting adapted MTC subsets and comparing their variability detected by SA-conf, we highlighted different sources of target flexibility such as induced by binding partner, by mutation and intrinsic flexibility. Our results support the interest to mine available structures associated with a target using to offer valuable insight into target flexibility and interaction mechanisms. The SA-conf executable script, with a set of pre-compiled binaries are available at

  6. Use of online interactive tools in an open distance learning context ...

    African Journals Online (AJOL)

    Kefiloe Adolphina Maboe

    Objective: The purpose of this study was to determine how the discussion forum as an online interactive tool be used in ... and study material, and students and the ODL institution. .... The questionnaire was developed in English. Its develop-.

  7. PROBLEMS OF ICT-BASED TOOLS ESTIMATION IN THE CONTEXT OF INFORMATION SOCIETY FORMATION

    Directory of Open Access Journals (Sweden)

    M. Shyshkina

    2012-03-01

    Full Text Available The article describes the problems of improvement of quality of implementation and use of e-learning tools which arise in terms of increasing quality and accessibility of education. It is determined that those issues are closely linked to specific scientific and methodological approaches to evaluation of quality, selection and use of ICT-based tools in view of emergence of promising information technological platforms of these resources implementation and delivery.

  8. Transforming health care the financial impact of technology, electronic tools and data mining

    CERN Document Server

    Fasano, Phil

    2013-01-01

    The future of healthcare technologies, and what they mean for investors and entrepreneurs The healthcare technology revolution is just around the corner. And when it arrives, it will change and enrich our lives in ways we can only begin to imagine. Doctors will perform blood pressure readings via video chat and nutritionists will analyze diet based on photos taken with cellphone cameras. Transforming Health Care combines healthcare, technology, and finance in an innovative new way that explains the future of healthcare and its effects on patient care, exploring the emergence of electronic tools that will transform the medical industry. Explaining how technology, not politics, will lead the future of the healthcare revolution, author and healthcare technology expert Phil Fasano presents real-life examples that show how the next generation of medical breakthroughs will come from the instant exchange of information across the world Explores how new technologies will radically change the future of healthcare by m...

  9. Response process and test–retest reliability of the Context Assessment for Community Health tool in Vietnam

    Directory of Open Access Journals (Sweden)

    Duong M. Duc

    2016-06-01

    Full Text Available Background: The recently developed Context Assessment for Community Health (COACH tool aims to measure aspects of the local healthcare context perceived to influence knowledge translation in low- and middle-income countries. The tool measures eight dimensions (organizational resources , community engagement, monitoring services for action, sources of knowledge, commitment to work, work culture, leadership, and informal payment through 49 items. Objective: The study aimed to explore the understanding and stability of the COACH tool among health providers in Vietnam. Designs: To investigate the response process, think-aloud interviews were undertaken with five community health workers, six nurses and midwives, and five physicians. Identified problems were classified according to Conrad and Blair's taxonomy and grouped according to an estimation of the magnitude of the problem's effect on the response data. Further, the stability of the tool was examined using a test–retest survey among 77 respondents. The reliability was analyzed for items (intraclass correlation coefficient (ICC and percent agreement and dimensions (ICC and Bland–Altman plots. Results: In general, the think-aloud interviews revealed that the COACH tool was perceived as clear, well organized, and easy to answer. Most items were understood as intended. However, seven prominent problems in the items were identified and the content of three dimensions was perceived to be of a sensitive nature. In the test–retest survey, two-thirds of the items and seven of eight dimensions were found to have an ICC agreement ranging from moderate to substantial (0.5–0.7, demonstrating that the instrument has an acceptable level of stability. Conclusions: This study provides evidence that the Vietnamese translation of the COACH tool is generally perceived to be clear and easy to understand and has acceptable stability. There is, however, a need to rephrase and add generic examples to clarify

  10. Response process and test-retest reliability of the Context Assessment for Community Health tool in Vietnam.

    Science.gov (United States)

    Duc, Duong M; Bergström, Anna; Eriksson, Leif; Selling, Katarina; Thi Thu Ha, Bui; Wallin, Lars

    2016-01-01

    The recently developed Context Assessment for Community Health (COACH) tool aims to measure aspects of the local healthcare context perceived to influence knowledge translation in low- and middle-income countries. The tool measures eight dimensions (organizational resources, community engagement, monitoring services for action, sources of knowledge, commitment to work, work culture, leadership, and informal payment) through 49 items. The study aimed to explore the understanding and stability of the COACH tool among health providers in Vietnam. To investigate the response process, think-aloud interviews were undertaken with five community health workers, six nurses and midwives, and five physicians. Identified problems were classified according to Conrad and Blair's taxonomy and grouped according to an estimation of the magnitude of the problem's effect on the response data. Further, the stability of the tool was examined using a test-retest survey among 77 respondents. The reliability was analyzed for items (intraclass correlation coefficient (ICC) and percent agreement) and dimensions (ICC and Bland-Altman plots). In general, the think-aloud interviews revealed that the COACH tool was perceived as clear, well organized, and easy to answer. Most items were understood as intended. However, seven prominent problems in the items were identified and the content of three dimensions was perceived to be of a sensitive nature. In the test-retest survey, two-thirds of the items and seven of eight dimensions were found to have an ICC agreement ranging from moderate to substantial (0.5-0.7), demonstrating that the instrument has an acceptable level of stability. This study provides evidence that the Vietnamese translation of the COACH tool is generally perceived to be clear and easy to understand and has acceptable stability. There is, however, a need to rephrase and add generic examples to clarify some items and to further review items with low ICC.

  11. Realizing modeling and mapping tools to study the upsurge of noise pollution as a result of open-cast mining and transportation activities.

    Science.gov (United States)

    Lokhande, Satish K; Jain, Mohindra C; Dhawale, Satyajeet A; Gautam, Rakesh; Bodhe, Ghanshyam L

    2018-01-01

    In open-cast mines, noise pollution has become a serious concern due to the extreme use of heavy earth moving machinery (HEMM). This study is focused to measure and assess the effects of the existing noise levels of major operational mines in the Keonjhar, Sundergadh, and Mayurbhanj districts of Odisha, India. The transportation noise levels were also considered in this study, which was predicted using the modified Federal Highway Administration (FHWA) model. It was observed that noise induced by HEMM such as rock breakers, jackhammers, dumpers, and excavators, blasting noise in the mining terrain, as well as associated transportation noise became a major source of annoyance to the habitants living in proximity to the mines. The noise produced by mechanized mining operations was observed between 74.3 and 115.2 dB(A), and its impact on residential areas was observed between 49.4 and 58.9 dB(A). In addition, the noise contour maps of sound level dispersion were demonstrated with the utilization of advanced noise prediction software tools for better understanding. Finally, the predicted values at residential zone and traffic noise are correlated with observed values, and the coefficient of determination, R 2 , was calculated to be 0.6891 and 0.5967, respectively.

  12. MetalS(3), a database-mining tool for the identification of structurally similar metal sites.

    Science.gov (United States)

    Valasatava, Yana; Rosato, Antonio; Cavallaro, Gabriele; Andreini, Claudia

    2014-08-01

    We have developed a database search tool to identify metal sites having structural similarity to a query metal site structure within the MetalPDB database of minimal functional sites (MFSs) contained in metal-binding biological macromolecules. MFSs describe the local environment around the metal(s) independently of the larger context of the macromolecular structure. Such a local environment has a determinant role in tuning the chemical reactivity of the metal, ultimately contributing to the functional properties of the whole system. The database search tool, which we called MetalS(3) (Metal Sites Similarity Search), can be accessed through a Web interface at http://metalweb.cerm.unifi.it/tools/metals3/ . MetalS(3) uses a suitably adapted version of an algorithm that we previously developed to systematically compare the structure of the query metal site with each MFS in MetalPDB. For each MFS, the best superposition is kept. All these superpositions are then ranked according to the MetalS(3) scoring function and are presented to the user in tabular form. The user can interact with the output Web page to visualize the structural alignment or the sequence alignment derived from it. Options to filter the results are available. Test calculations show that the MetalS(3) output correlates well with expectations from protein homology considerations. Furthermore, we describe some usage scenarios that highlight the usefulness of MetalS(3) to obtain mechanistic and functional hints regardless of homology.

  13. Assessment of Electro-Mechanic Technician Qualifications in the Context of European Transparency Tools

    Science.gov (United States)

    Ozcan, Mustafa; Vuranok, Turan Tolga; Ball, Claudia

    2017-01-01

    Purpose: This study explores the applicability and transferability of tools developed for the realization of comparability and transparency of qualifications across Europe. It relates to the implementation of the European Credit System for Vocational Education and Training (ECVET) and the European Qualifications Framework (EQF) in the automotive…

  14. Use of online interactive tools in an open distance learning context ...

    African Journals Online (AJOL)

    Background: Open distance learning (ODL) institutions provide educational challenges with specific reference to the training of nurses. They have adopted online technologies to facilitate teaching and learning. However it is observed that most nurses do not use or minimally use tools such as a discussion forum for online ...

  15. Adaptation of the Tool to Estimate Patient Costs Questionnaire into Indonesian Context for Tuberculosis-affected Households

    Directory of Open Access Journals (Sweden)

    Ahmad Fuady

    2018-04-01

    Full Text Available Background: Indonesia is the second-highest country for tuberculosis (TB incidence worldwide. Hence, it urgently requires improvements and innovations beyond the strategies that are currently being implemented throughout the country. One fundamental step in monitoring its progress is by preparing a validated tool to measure total patient costs and catastrophic total costs. The World Health Organization (WHO recommends using a version of the generic questionnaire that has been adapted to the local cultural context in order to interpret findings correctly. This study is aimed to adapt the Tool to Estimate Patient Costs questionnaire into the Indonesian context, which measures total costs and catastrophic total costs for tuberculosis-affected households. Methods: the tool was adapted using best-practice guidelines. On the basis of a pre-test performed in a previous study (referred to as Phase 1 Study, we refined the adaptation process by comparing it with the generic tool introduced by the WHO. We also held an expert committee review and performed pre-testing by interviewing 30 TB patients. After pre-testing, the tool was provided with complete explanation sheets for finalization. Results: seventy-two major changes were made during the adaptation process including changing the answer choices to match the Indonesian context, refining the flow of questions, deleting questions, changing some words and restoring original questions that had been changed in Phase 1 Study. Participants indicated that most questions were clear and easy to understand. To address recall difficulties by the participants, we made some adaptations to obtain data that might be missing, such as tracking data to medical records, developing a proxy of costs and guiding interviewers to ask for a specific value when participants were uncertain about the estimated market value of property they had sold. Conclusion: the adapted Tool to Estimate Patient Costs in Bahasa Indonesia is

  16. Control banding tools for occupational exposure assessment of nanomaterials - Ready for use in a regulatory context?

    DEFF Research Database (Denmark)

    Liguori, Biase; Hansen, Steffen Foss; Baun, Anders

    2016-01-01

    area of concern. Therefore, a number of Control Banding (CB)-based tools have been developed in order to assess and manage the potential risks associated with occupational exposure to nanomaterials. In this paper we provide a comparative analysis of different nanomaterial-specific types of control-banding/risk...... developed for different purposes, with different application domains and inclusion criteria. The exposure assessments and derived risk levels are based on different concepts and assumptions and outputs in different formats. The use of requested input parameters for exposure assessment differ greatly among...... the tools. Therefore, direct inter-comparison and combination of the different models into a larger holistic framework is not immediately possible. Harmonization of input parameters and output could allow establishment of an exposure assessment framework with different levels of information requirements....

  17. Wind power or uranium mine: Appraisal of two energy-related environmental changes in a local context

    International Nuclear Information System (INIS)

    Pedersen, Eja; Johansson, Maria

    2012-01-01

    This study explores factors associated with the individual's appraisal of anticipated environmental changes caused by energy production facilities. The study took place in a Swedish village where exploratory drilling, that could eventually lead to a uranium mine, was being conducted at the same time as a wind farm was approved. Results from the survey, which included the total population, were interpreted in the light of cognitive stress theory. Most residents thought that the wind farm would have a positive impact on the village but that the uranium drilling would have a negative impact; these opinions were closely related to attitudes towards wind and nuclear power. Perceiving the wind farm as positive was further predicted by young age, high education, being an ordinary rather than a committed recycler and having attended a meeting about the wind farm. A negative view of uranium drilling was predicted by the individual valuing closeness to nature, being a recycler, and having attended the uranium meeting. Psychological factors such as concerns for the environment (manifested as pro-environmental behaviour), valuing closeness to nature, and involvement impinge on the appraisal process and should be considered when new developments are presented. - Highlights: ► We studied the appraisal of proposed local environmental changes due to energy facilities. ► A wind farm was appraised as beneficial and drilling for uranium mine as threatening. ► Attitudes towards wind and nuclear power were strongly associated with appraisal outcome. ► Concern for the environment, closeness to nature and participation also played a role.

  18. German translation of the Alberta context tool and two measures of research use: methods, challenges and lessons learned

    Science.gov (United States)

    2013-01-01

    Background Understanding the relationship between organizational context and research utilization is key to reducing the research-practice gap in health care. This is particularly true in the residential long term care (LTC) setting where relatively little work has examined the influence of context on research implementation. Reliable, valid measures and tools are a prerequisite for studying organizational context and research utilization. Few such tools exist in German. We thus translated three such tools (the Alberta Context Tool and two measures of research use) into German for use in German residential LTC. We point out challenges and strategies for their solution unique to German residential LTC, and demonstrate how resolving specific challenges in the translation of the health care aide instrument version streamlined the translation process of versions for registered nurses, allied health providers, practice specialists, and managers. Methods Our translation methods were based on best practices and included two independent forward translations, reconciliation of the forward translations, expert panel discussions, two independent back translations, reconciliation of the back translations, back translation review, and cognitive debriefing. Results We categorized the challenges in this translation process into seven categories: (1) differing professional education of Canadian and German care providers, (2) risk that German translations would become grammatically complex, (3) wordings at risk of being misunderstood, (4) phrases/idioms non-existent in German, (5) lack of corresponding German words, (6) limited comprehensibility of corresponding German words, and (7) target persons’ unfamiliarity with activities detailed in survey items. Examples of each challenge are described with strategies that we used to manage the challenge. Conclusion Translating an existing instrument is complex and time-consuming, but a rigorous approach is necessary to obtain instrument

  19. Self-Organizing Maps: A Data Mining Tool for the Analysis of Airborne Geophysical Data Collected over the Brazilian Amazon

    Science.gov (United States)

    Carneiro, C.; Fraser, S. J.; Crosta, A. P.; Silva, A.; Barros, C.

    2011-12-01

    Regional airborne geophysical data sets are being collected worldwide to promote mineral exploration and resource development. These data sets often are collected over highly prospective terranes, where access is limited or there are environmental concerns. Such regional surveys typically consist of two or more sensor packages being flown in an aircraft over the survey area and vast amounts of near-continuous data can be acquired in a relatively short time. Increasingly, there is also a need to process such data in a timely fashion to demonstrate the data's value and indicate the potential return or value of the survey to the funding agency. To assist in the timely analysis of such regional data sets, we have used an exploratory data mining approach: the Self Organizing Map (SOM). Because SOM is based on vector quantization and measures of vector similarity, it is an ideal tool to analyze a data set consisting of disparate geophysical input parameters to look for relationships and trends. We report on our use of SOM to analyze part of a regional airborne geophysical survey collected over the prospective Anapu-Tuere region of the Brazilian Amazon. Magnetic and spectrometric gamma ray data were used as input to our SOM analysis, and the results used to discriminate and identify various rock types and produce a "pseudo" geological map over the study area. The ability of SOM to define discrete domains of rock-types with similar properties allowed us to expand upon existing geological knowledge of the area for mapping purposes; and, often it was the combination of the magnetic and radiometric responses that identified a lithology's unique response. One particular unit was identified that had an association with known gold mineralization, which consequently highlighted the prospectivity of that unit elsewhere in the survey area. Our results indicate that SOM can be used for the semi-automatic analysis of regional airborne geophysical data to assist in geological mapping

  20. Timing and context of dolphin clicks during and after mine simulator detection and marking in the open ocean

    Directory of Open Access Journals (Sweden)

    Sam H. Ridgway

    2018-02-01

    Full Text Available Two dolphins carrying cameras swam in the ocean as they searched for and marked mine simulators – buried, proud or moored. As the animals swam ahead of a boat they searched the ocean. Cameras on their harness recorded continuous sound and video. Once a target was detected, the dolphins received a marker to take to the simulator's location. During search and detection, dolphins made almost continuous trains of varying interval clicks. During the marking phase, shorter click trains were interrupted by periods of silence. As the dolphins marked simulators, they often produced victory squeals – pulse bursts that vary in duration, peak frequency and amplitude. Victory squeals were produced on 72% of marks. Sometimes after marking, or at other times during their long swims, the dolphins produced click packets. Packets typically consisted of two to 10 clicks with inter-click intervals of 7-117 ms followed by a silence of 223-983 ms. Click packets appeared unrelated with searching or marking. We suggest that the packets were used to improve signal to noise ratios for locating a boat or other distant object. Victory squeals produced when marking the targets suggest to us that the dolphins know when they have succeeded in this multipart task.

  1. GENDER DISPARITIES REGARDING WAGE AS A MOTIVATIONAL TOOL IN THE CURRENT ECONOMIC CONTEXT

    Directory of Open Access Journals (Sweden)

    DEMYEN SUZANA

    2014-02-01

    Full Text Available The deepening process of globalization, negative trends regarding demographic evolution both nationally and internationally, also the emigration phenomenon and the long-term effects of the economic crisis, are the main challenges in terms of creating a general support and to encourage a fair and effective management of human resources, regardless of the industry they are developing their activity. Motivation consists in a series of problems that need to be solved in order to generate both individual and team performance, and wage is seen as one of the most important motivational tools. Though we have witnessed a less serious gap between wages according to the gender criterion, still there can be identified certain issues that need to be solved regardless the most recent trends in management

  2. Use of online interactive tools in an open distance learning context: Health studies students' perspective*

    Directory of Open Access Journals (Sweden)

    Kefiloe A. Maboe

    2017-10-01

    Full Text Available Background: Open distance learning (ODL institutions provide educational challenges with specific reference to the training of nurses. They have adopted online technologies to facilitate teaching and learning. However it is observed that most nurses do not use or minimally use tools such as a discussion forum for online interaction to facilitate teaching and learning. Objective: The purpose of this study was to determine how the discussion forum as an online interactive tool be used in an ODL institution to enhance student-to-student and student-to-lecturer online interactions. Design: Quantitative and descriptive in nature. Method: No sampling was done. An online questionnaire was sent to all 410 second and third years Health Services Management students around the world registered with a specific ODL institution during the second semester. Eighty seven students responded to the questionnaire. Data analysis was done quantitatively and descriptively in the form of diagrams. Results: The findings indicated that 84.9% of students own computers, and 100% own cellular phones, but only 3.8% participated in online discussion forum. Some students indicated that they were technologically challenged. Some lecturers interact minimally online and are not supportive to them. The institution does not give them the support they need to acquire the necessary skills to utilise these technologies. Conclusion: The article suggests that lecturers, active interaction in an online discussion forum as a way of supporting students, are fundamental to effective teaching and learning.The university should consider providing intensive mentoring to students to enable them to utilise the available technologies optimally.

  3. Modeling and simulation as a tool to support decision making and change of scenery for improved productivity: the case of mining

    Directory of Open Access Journals (Sweden)

    Jackson Kêntelly Marculino de Souza

    2017-09-01

    Full Text Available Computer modeling and discrete event simulation of industrial processes have gained a prominent role for the analysis of capacity and management improvement, which generate competitive advantages for organizations. Although some studies involving simulation in the mining area were found, countless application opportunities in mining subareas to assist managers in decision-making were encountered. This work shows the process of loading and transport of minerals in an open pit mine in order to generate a simulation model that best represents the system to propose improvements in the composition of the load and transport equipment employed in the mine. The model was developed inthe discrete event simulation software, Arena, and validated to allow for the creation of alternative scenarios to achieve operational improvements. The best alternative that resulted from the scenario stipulated the replacement of a hired vehicle with its own fleet. This generated an annual gain of R $ 3.8 million, through the expressive gains in production and the reduction in the cost of hiring services, which have offset the increase in costs of having its own fleet. The computational model, with its many peculiarities, has been reproduced successfully, allowing for work solutions at low cost and without interference in the real system, distinguishing itself as a fundamental tool to solidify the company’s competitiveness.

  4. PubstractHelper: A Web-based Text-Mining Tool for Marking Sentences in Abstracts from PubMed Using Multiple User-Defined Keywords.

    Science.gov (United States)

    Chen, Chou-Cheng; Ho, Chung-Liang

    2014-01-01

    While a huge amount of information about biological literature can be obtained by searching the PubMed database, reading through all the titles and abstracts resulting from such a search for useful information is inefficient. Text mining makes it possible to increase this efficiency. Some websites use text mining to gather information from the PubMed database; however, they are database-oriented, using pre-defined search keywords while lacking a query interface for user-defined search inputs. We present the PubMed Abstract Reading Helper (PubstractHelper) website which combines text mining and reading assistance for an efficient PubMed search. PubstractHelper can accept a maximum of ten groups of keywords, within each group containing up to ten keywords. The principle behind the text-mining function of PubstractHelper is that keywords contained in the same sentence are likely to be related. PubstractHelper highlights sentences with co-occurring keywords in different colors. The user can download the PMID and the abstracts with color markings to be reviewed later. The PubstractHelper website can help users to identify relevant publications based on the presence of related keywords, which should be a handy tool for their research. http://bio.yungyun.com.tw/ATM/PubstractHelper.aspx and http://holab.med.ncku.edu.tw/ATM/PubstractHelper.aspx.

  5. Reflective action assessment with a prospective clinical problem solving tool in the context of rehabilitation medicine: an illustrative case study.

    Science.gov (United States)

    Kellett, David; Mpofu, Elias; Madden, Richard

    2013-06-01

    This study describes a case formulation approach applying a prospective ICF derived clinical tool to assess rehabilitation needs for a community dwelling stroke survivor with care from an outpatient rehabilitation medicine clinic. Case history data on the person were assessed for rehabilitation management planning using a prospective tool to interlink current with projected future functional status in everyday settings. Implicit assessment with reflective action informed decision points at each stage of the rehabilitation process. As a result of reflective action using the prospective tool, rehabilitation management led to significant changes in client participation after limitations to mobility and self care were mapped to the living conditions of the stroke survivor. The context sensitive rehabilitative plan resulted in higher subjective health-related quality of life in the stroke survivor and significant other and enhanced their capacity for participation. Reflective action informed assessment applying ICF concepts to clinical problem solving resulted in positive gains in health-related quality of life in a stroke survivor.

  6. ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining.

    Science.gov (United States)

    Huan, Tianxiao; Sivachenko, Andrey Y; Harrison, Scott H; Chen, Jake Y

    2008-08-12

    New systems biology studies require researchers to understand how interplay among myriads of biomolecular entities is orchestrated in order to achieve high-level cellular and physiological functions. Many software tools have been developed in the past decade to help researchers visually navigate large networks of biomolecular interactions with built-in template-based query capabilities. To further advance researchers' ability to interrogate global physiological states of cells through multi-scale visual network explorations, new visualization software tools still need to be developed to empower the analysis. A robust visual data analysis platform driven by database management systems to perform bi-directional data processing-to-visualizations with declarative querying capabilities is needed. We developed ProteoLens as a JAVA-based visual analytic software tool for creating, annotating and exploring multi-scale biological networks. It supports direct database connectivity to either Oracle or PostgreSQL database tables/views, on which SQL statements using both Data Definition Languages (DDL) and Data Manipulation languages (DML) may be specified. The robust query languages embedded directly within the visualization software help users to bring their network data into a visualization context for annotation and exploration. ProteoLens supports graph/network represented data in standard Graph Modeling Language (GML) formats, and this enables interoperation with a wide range of other visual layout tools. The architectural design of ProteoLens enables the de-coupling of complex network data visualization tasks into two distinct phases: 1) creating network data association rules, which are mapping rules between network node IDs or edge IDs and data attributes such as functional annotations, expression levels, scores, synonyms, descriptions etc; 2) applying network data association rules to build the network and perform the visual annotation of graph nodes and edges

  7. LimTox: a web tool for applied text mining of adverse event and toxicity associations of compounds, drugs and genes.

    Science.gov (United States)

    Cañada, Andres; Capella-Gutierrez, Salvador; Rabal, Obdulia; Oyarzabal, Julen; Valencia, Alfonso; Krallinger, Martin

    2017-07-03

    A considerable effort has been devoted to retrieve systematically information for genes and proteins as well as relationships between them. Despite the importance of chemical compounds and drugs as a central bio-entity in pharmacological and biological research, only a limited number of freely available chemical text-mining/search engine technologies are currently accessible. Here we present LimTox (Literature Mining for Toxicology), a web-based online biomedical search tool with special focus on adverse hepatobiliary reactions. It integrates a range of text mining, named entity recognition and information extraction components. LimTox relies on machine-learning, rule-based, pattern-based and term lookup strategies. This system processes scientific abstracts, a set of full text articles and medical agency assessment reports. Although the main focus of LimTox is on adverse liver events, it enables also basic searches for other organ level toxicity associations (nephrotoxicity, cardiotoxicity, thyrotoxicity and phospholipidosis). This tool supports specialized search queries for: chemical compounds/drugs, genes (with additional emphasis on key enzymes in drug metabolism, namely P450 cytochromes-CYPs) and biochemical liver markers. The LimTox website is free and open to all users and there is no login requirement. LimTox can be accessed at: http://limtox.bioinfo.cnio.es. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

  8. Tracking natural and anthropogenic origins of dissolved arsenic during surface and groundwater interaction in a post-closure mining context: Isotopic constraints.

    Science.gov (United States)

    Khaska, Mahmoud; Le Gal La Salle, Corinne; Verdoux, Patrick; Boutin, René

    2015-01-01

    that the low (87)Sr/(86)Sr ratio, arsenic rich water is characterized by an evaporated signature suggesting a potential influence of water impacted by evaporation during storage in decantation lagoons. This study shows the suitability of Sr and stable isotopes of water as tracers to differentiate natural and anthropogenic sources of arsenic release or other trace elements from mining context where CaO is used for water treatment. Copyright © 2015 Elsevier B.V. All rights reserved.

  9. Health system context and implementation of evidence-based practices-development and validation of the Context Assessment for Community Health (COACH) tool for low- and middle-income settings.

    Science.gov (United States)

    Bergström, Anna; Skeen, Sarah; Duc, Duong M; Blandon, Elmer Zelaya; Estabrooks, Carole; Gustavsson, Petter; Hoa, Dinh Thi Phuong; Källestål, Carina; Målqvist, Mats; Nga, Nguyen Thu; Persson, Lars-Åke; Pervin, Jesmin; Peterson, Stefan; Rahman, Anisur; Selling, Katarina; Squires, Janet E; Tomlinson, Mark; Waiswa, Peter; Wallin, Lars

    2015-08-15

    The gap between what is known and what is practiced results in health service users not benefitting from advances in healthcare, and in unnecessary costs. A supportive context is considered a key element for successful implementation of evidence-based practices (EBP). There were no tools available for the systematic mapping of aspects of organizational context influencing the implementation of EBPs in low- and middle-income countries (LMICs). Thus, this project aimed to develop and psychometrically validate a tool for this purpose. The development of the Context Assessment for Community Health (COACH) tool was premised on the context dimension in the Promoting Action on Research Implementation in Health Services framework, and is a derivative product of the Alberta Context Tool. Its development was undertaken in Bangladesh, Vietnam, Uganda, South Africa and Nicaragua in six phases: (1) defining dimensions and draft tool development, (2) content validity amongst in-country expert panels, (3) content validity amongst international experts, (4) response process validity, (5) translation and (6) evaluation of psychometric properties amongst 690 health workers in the five countries. The tool was validated for use amongst physicians, nurse/midwives and community health workers. The six phases of development resulted in a good fit between the theoretical dimensions of the COACH tool and its psychometric properties. The tool has 49 items measuring eight aspects of context: Resources, Community engagement, Commitment to work, Informal payment, Leadership, Work culture, Monitoring services for action and Sources of knowledge. Aspects of organizational context that were identified as influencing the implementation of EBPs in high-income settings were also found to be relevant in LMICs. However, there were additional aspects of context of relevance in LMICs specifically Resources, Community engagement, Commitment to work and Informal payment. Use of the COACH tool will allow

  10. PROFESSIONAL TRAINING IN MINING-METALLURGICAL CONTEXT / FORMACIÓN PROFESIONAL EN CONTEXTO MINERO-METALÚRGICO

    Directory of Open Access Journals (Sweden)

    María Magdalena Romero Ramírez

    2012-10-01

    Full Text Available The process of professional training is intentionally oriented to make up people according to the current society, committed with the history and traditions, deeply receptive and ready to take on work and professional performance in their profession, grow up in the order of the technical and professional preparation, as well as in their spiritual and personal conditions. Therefore, it necessary prepares a professional capable to get answer at the demands of social need from its context, recognizing the formative process as a process of complexity social character, cultural and essentially human. The paper provides an analysis of the didactic-metodologyc treatment of training in the engineering careers from technological, social and humanistic, integrated at the context as well as some alternatives through concrete actions as part of the continuous improvement of the formative process.ResumenEl proceso de formación de los profesionales en la educación superior está intencionalmente orientado a formar un ciudadano que reúna las condiciones que la sociedad actual demanda: sujetos altamente comprometidos con la historia y las tradiciones de su medio, profundamente reflexivos, capaces de comportarse esencialmente humanos, preparados para asumir los desempeños laborales y profesionales que las distintas profesiones requieren; con todas las posibilidades para insertarse en el vertiginoso avance de la ciencia, la tecnología, el arte y dispuestos a crecer tanto en el orden de la preparación técnica y profesional como en sus condiciones personales y espirituales. De ahí la necesidad de formar un profesional capaz de dar respuestas a las exigencias de las necesidades sociales desde su contexto, reconociendo al proceso formativo como un proceso de carácter complejo social, cultural y esencialmente humano. En el trabajo se hace un análisis del tratamiento didáctico-metodológico en la formación del profesional del perfil minero

  11. An exploration of inter-organisational partnership assessment tools in the context of Australian Aboriginal-mainstream partnerships: a scoping review of the literature.

    Science.gov (United States)

    Tsou, Christina; Haynes, Emma; Warner, Wayne D; Gray, Gordon; Thompson, Sandra C

    2015-04-23

    The need for better partnerships between Aboriginal organisations and mainstream agencies demands attention on process and relational elements of these partnerships, and improving partnership functioning through transformative or iterative evaluation procedures. This paper presents the findings of a literature review which examines the usefulness of existing partnership tools to the Australian Aboriginal-mainstream partnership (AMP) context. Three sets of best practice principles for successful AMP were selected based on authors' knowledge and experience. Items in each set of principles were separated into process and relational elements and used to guide the analysis of partnership assessment tools. The review and analysis of partnership assessment tools were conducted in three distinct but related parts. Part 1- identify and select reviews of partnership tools; part 2 - identify and select partnership self-assessment tool; part 3 - analysis of selected tools using AMP principles. The focus on relational and process elements in the partnership tools reviewed is consistent with the focus of Australian AMP principles by reconciliation advocates; however, historical context, lived experience, cultural context and approaches of Australian Aboriginal people represent key deficiencies in the tools reviewed. The overall assessment indicated that the New York Partnership Self-Assessment Tool and the VicHealth Partnership Analysis Tools reflect the greatest number of AMP principles followed by the Nuffield Partnership Assessment Tool. The New York PSAT has the strongest alignment with the relational elements while VicHealth and Nuffield tools showed greatest alignment with the process elements in the chosen AMP principles. Partnership tools offer opportunities for providing evidence based support to partnership development. The multiplicity of tools in existence and the reported uniqueness of each partnership, mean the development of a generic partnership analysis for AMP

  12. Environmental management in North American mining sector.

    Science.gov (United States)

    Asif, Zunaira; Chen, Zhi

    2016-01-01

    This paper reviews the environmental issues and management practices in the mining sector in the North America. The sustainable measures on waste management are recognized as one of the most serious environmental concerns in the mining industry. For mining activities, it will be no surprise that the metal recovery reagents and acid effluents are a threat to the ecosystem as well as hazards to human health. In addition, poor air quality and ventilation in underground mines can lead to occupational illness and death of workers. Electricity usage and fuel consumption are major factors that contribute to greenhouse gases. On the other hand, many sustainability challenges are faced in the management of tailings and disposal of waste rock. This paper aims to highlight the problems that arise due to poor air quality and acid mine drainage. The paper also addresses some of the advantages and limitations of tailing and waste rock management that still have to be studied in context of the mining sector. This paper suggests that implementation of suitable environmental management tools like life cycle assessment (LCA), cleaner production technologies (CPTs), and multicriteria decision analysis (MCD) are important as it ultimately lead to improve environmental performance and enabling a mine to focus on the next stage of sustainability.

  13. Data mining in radiology

    International Nuclear Information System (INIS)

    Kharat, Amit T; Singh, Amarjit; Kulkarni, Vilas M; Shah, Digish

    2014-01-01

    Data mining facilitates the study of radiology data in various dimensions. It converts large patient image and text datasets into useful information that helps in improving patient care and provides informative reports. Data mining technology analyzes data within the Radiology Information System and Hospital Information System using specialized software which assesses relationships and agreement in available information. By using similar data analysis tools, radiologists can make informed decisions and predict the future outcome of a particular imaging finding. Data, information and knowledge are the components of data mining. Classes, Clusters, Associations, Sequential patterns, Classification, Prediction and Decision tree are the various types of data mining. Data mining has the potential to make delivery of health care affordable and ensure that the best imaging practices are followed. It is a tool for academic research. Data mining is considered to be ethically neutral, however concerns regarding privacy and legality exists which need to be addressed to ensure success of data mining

  14. Incorporation of a health economic modelling tool into public health commissioning: Evidence use in a politicised context.

    Science.gov (United States)

    Sanders, Tom; Grove, Amy; Salway, Sarah; Hampshaw, Susan; Goyder, Elizabeth

    2017-08-01

    This paper explores how commissioners working in an English local government authority (LA) viewed a health economic decision tool for planning services in relation to diabetes. We conducted 15 interviews and 2 focus groups between July 2015 and February 2016, with commissioners (including public health managers, data analysts and council members). Two overlapping themes were identified explaining the obstacles and enablers of using such a tool in commissioning: a) evidence cultures, and b) system interdependency. The former highlighted the diverse evidence cultures present in the LA with politicians influenced by the 'soft' social care agendas affecting their local population and treating local opinion as evidence, whilst public health managers prioritised the scientific view of evidence informed by research. System interdependency further complicated the decision making process by recognizing interlinking with departments and other disease groups. To achieve legitimacy within the commissioning arena health economic modelling needs to function effectively in a highly politicised environment where decisions are made not only on the basis of research evidence, but on grounds of 'soft' data, personal opinion and intelligence. In this context decisions become politicised, with multiple opinions seeking a voice. The way that such decisions are negotiated and which ones establish authority is of importance. We analyse the data using Larson's (1990) discursive field concept to show how the tool becomes an object of research push and pull likely to be used instrumentally by stakeholders to advance specific agendas, not a means of informing complex decisions. In conclusion, LA decision making is underpinned by a transactional business ethic which is a further potential 'pull' mechanism for the incorporation of health economic modelling in local commissioning. Crown Copyright © 2017. Published by Elsevier Ltd. All rights reserved.

  15. Criterion Validity of the “HRQOLISP-E”: A New Context-Specific Screening Tool for Poststroke Depression

    Directory of Open Access Journals (Sweden)

    Akin Ojagbemi

    2017-01-01

    Full Text Available Objectives. The optimal tool for identifying postsroke depression (PSD is yet to be identified. In the present study, we rely on the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D as a meaningful criterion to investigate the psychometric properties of the HRQOLISP-E, a new context-specific screening tool for PSD developed from a large cross-cultural sample. Methods. We assessed baseline data being collected as part of an intervention to improve one-year blood pressure control among recent (≤one month stroke survivors. Depression was measured using the HADS-D and the HRQOLISP-E. We determined sensitivity, specificity, likelihood ratios, and posttest probability. The area under a receiver operator curve (AUC and the most appropriate HRQOLISP-E cut-off were also determined using standard procedures. Results. Using data derived from 387 recent stroke survivors, the HRQOLISP-E showed high agreement with the HADS-D, sensitivity = 73.7%, specificity = 79.3%, and posterior test probability = 88% (95% CI = 84%–91%. The AUC was 0.81 (95% CI = 0.76–0.86. The HRQOLISP-E cut-off, corresponding to HADS-D score ≥ 8, was 20/21 (out of a total score of 30. Conclusions. Within limitations of using the HADS-D as a referent criterion, the present results provide justification for further development of the HRQOLISP-E as the first stroke-specific screening tool for depression.

  16. No knowledge without processes : process mining as a tool to find out what people and organizations really do

    NARCIS (Netherlands)

    van der Aalst, W.M.P.; Fred, A.; Filipe, J.; Dietz, J.L.G.; Aveiro, D.; Liu, K.

    2014-01-01

    Recently, process mining emerged as a new scientific discipline on the interface between process models and event data. Whereas conventional Business Process Management (BPM) approaches are mostly model-driven with little consideration for event data, the increasing availability of high-quality data

  17. MONITORING OF MINING

    Directory of Open Access Journals (Sweden)

    Berislav Šebečić

    1996-12-01

    Full Text Available The way mining was monitored in the past depended on knowledge, interest and the existing legal regulations. Documentary evidence about this work can be found in archives, libraries and museums. In particular, there is the rich archival material (papers and books concerning the work of the one-time Imperial and Royal Mining Captaincies in Zagreb, Zadar, Klagenfurt and Split, A minor part of the documentation has not yet been transferred to Croatia. From mining handbooks and books we can also find out about mining in Croatia. In the context of Austro-Hungary. For example, we can find out that the first governorships in Zagreb and Zadar headed the Ban, Count Jelacic and Baron Mamula were also the top mining authorities, though this, probably from political motives, was suppressed in the guides and inventories or the Mining Captaincies. At the end of the 1850s, Croatia produced 92-94% of sea salt, up to 8.5% of sulphur, 19.5% of asphalt and 100% of oil for the Austro-Hungarian empire. From data about mining in the Split Mining Captaincy, prepared for the Philadephia Exhibition, it can be seen that in the exploratory mining operations in which there were 33,372 independent mines declared in 1925 they were looking mainly for bauxite (60,0%, then dark coal (19,0%, asphalts (10.3% and lignites (62%. In 1931, within the area covered by the same captaincy, of 74 declared mines, only 9 were working. There were five coal mines, three bauxite mines and one for asphalt. I suggest that within state institution, the Mining Captaincy or Authority be renewed, or that a Mining and Geological Authority be set ap, which would lead to the more complete affirmation of Croatian mining (the paper is published in Croatian.

  18. Desarrollo de herramientas de gestión socio-ambiental para cuencas andinas con actividades mineras = Development of socio-environmental management tools for Andean basins with mining activities

    OpenAIRE

    Pérez Foguet, Agustí; Yacoub López, Cristina; Miralles Esteban, Núria

    2013-01-01

    We present an analysis of three socio-environmental management tools developed and applied to an example of Andean basin with mining activities of significant importance. Socio-environmental conflicts related to mining activities are of increasing interest in the region. Most of them include water quality or quantity issues as a central part of the disputes. On the other hand, environmental regulations are changing from a paradigm focused on pollution control to a paradigm based on the health...

  19. Minería de datos sobre streams de redes sociales, una herramienta al servicio de la Bibliotecología = Data Mining Streams of Social Networks, A Tool to Improve The Library Services

    Directory of Open Access Journals (Sweden)

    Sonia Jaramillo Valbuena

    2015-12-01

    Full Text Available Los sistemas de soporte al trabajo colaborativo son herramientas valiosas en contextos en los cuales se requiere la participación de un grupo de personas para llevar a cabo una determinada tarea. Uno de estos contextos es la Bibliotecología, Archivística y Documentación. Las interacciones entre los usuarios y profesionales de esta área, mediante el uso de herramientas tales como Twitter, Facebook, fuentes RSS y blogs, generan grandes flujos de datos (streams no estructurados. Estos streams pueden ser estudiados para analizar aspectos tales como influencia, relaciones de cercanía, opinión y generación de recomendaciones, logrando de esta forma que las bibliotecas obtengan otros beneficios del uso de las tecnologías de información y comunicación. Desde la perspectiva de la minería de datos, el procesamiento de estos streams plantea importantes desafíos. El uso de algoritmos de minería en este contexto, implica que en estos se deban considerar aspectos como la adaptación a la alta velocidad en que llegan los datos, la diversidad de las fuentes de datos y su estructura, la variabilidad de los datos en el tiempo y el trabajo sin restricciones de memoria. Este artículo revisa el estado del arte en lo referente a algoritmos de minería de datos sobre streams originados en redes sociales, específicamente, Facebook y Twitter. Se presenta una revisión de las técnicas más representativas de clasificación y agrupamiento, y de cómo cada una de ellas aporta al descubrimiento de conocimiento en el área de la Bibliotecología. Para concluir se presentan algunos de los problemas que son objeto de investigación activa = The Groupware systems are a valuable source for disseminating information in contexts in which the participation of a group of people is required to perform a task. One such context is the Library, Archives and Documentation. The interactions among users and professionals in this area, who use tools such as Twitter

  20. Modelling the long-term evolution of groundwater's quality in a flooded iron-ore mine using a reactive transport pipe network model

    OpenAIRE

    Vaute , Laurent; Le Pape , Pierre; Collon-Drouaillet , Pauline; Fabriol , Robert

    2010-01-01

    International audience; Over the past 25 years, underground mine flooding in the lorraine iron Basin (France) has resulted in a high concentration of dissolved sulphate and have made the water unsuitable for human consumption. this problematic issue has led to the development of numerical tools to support waterresource management in mining contexts. as water flows mainly in galleries and collapsed zones, we consider the flooded mine as a network of pipes and tanks. the software used for simul...

  1. AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data.

    Science.gov (United States)

    Koopmans, Bastijn; Smit, August B; Verhage, Matthijs; Loos, Maarten

    2017-04-04

    Systematic, standardized and in-depth phenotyping and data analyses of rodent behaviour empowers gene-function studies, drug testing and therapy design. However, no data repositories are currently available for standardized quality control, data analysis and mining at the resolution of individual mice. Here, we present AHCODA-DB, a public data repository with standardized quality control and exclusion criteria aimed to enhance robustness of data, enabled with web-based mining tools for the analysis of individually and group-wise collected mouse phenotypic data. AHCODA-DB allows monitoring in vivo effects of compounds collected from conventional behavioural tests and from automated home-cage experiments assessing spontaneous behaviour, anxiety and cognition without human interference. AHCODA-DB includes such data from mutant mice (transgenics, knock-out, knock-in), (recombinant) inbred strains, and compound effects in wildtype mice and disease models. AHCODA-DB provides real time statistical analyses with single mouse resolution and versatile suite of data presentation tools. On March 9th, 2017 AHCODA-DB contained 650 k data points on 2419 parameters from 1563 mice. AHCODA-DB provides users with tools to systematically explore mouse behavioural data, both with positive and negative outcome, published and unpublished, across time and experiments with single mouse resolution. The standardized (automated) experimental settings and the large current dataset (1563 mice) in AHCODA-DB provide a unique framework for the interpretation of behavioural data and drug effects. The use of common ontologies allows data export to other databases such as the Mouse Phenome Database. Unbiased presentation of positive and negative data obtained under the highly standardized screening conditions increase cost efficiency of publicly funded mouse screening projects and help to reach consensus conclusions on drug responses and mouse behavioural phenotypes. The website is publicly

  2. The Use of Web 2.0 Tools by Students in Learning and Leisure Contexts: A Study in a Portuguese Institution of Higher Education

    Science.gov (United States)

    Costa, Carolina; Alvelos, Helena; Teixeira, Leonor

    2016-01-01

    This study analyses and compares the use of Web 2.0 tools by students in both learning and leisure contexts. Data were collected based on a questionnaire applied to 234 students from the University of Aveiro (Portugal) and the results were analysed by using descriptive analysis, paired samples t-tests, cluster analyses and Kruskal-Wallis tests.…

  3. Fructification phenology as an important tool in the recovery of iron mining areas in Minas Gerais, Brazil.

    Science.gov (United States)

    Garcia, L C; Barros, F V; Lemos-Filho, J P

    2009-08-01

    'Canga' is a name given to the ferruginous rocky fields that can be found in the 'Quadrilátero Ferrífero' of Minas Gerais, Brazil. The endemism and species richness make them areas of special biological importance, regarded as high-priority for conservation. Nevertheless, they are being threatened by intense mining activity. Aiming to understand more about this flora, this study was performed in order to determine the maturation or dispersal period of the fruits of four Canga species, Alibertia vaccinioides K.Schum. (Rubiaceae), Coccoloba acrostichoides Cham. (Polygonaceae), Miconia sellowiana Naudin (Melastomataceae), and one probable new species of Calyptranthes Sw. (Myrtaceae). Although fruit maturation or dispersal tended to occur at the end of the dry season, some asynchrony was observed in these species, with food sources being available during most of the year. This shows that these species have the potential to attract animals the whole year round, and planting them for the recovery of iron mining areas may increase the community's self-regeneration capacity, leading to a more successful restoration process.

  4. Fructification phenology as an important tool in the recovery of iron mining areas in Minas Gerais, Brazil

    Directory of Open Access Journals (Sweden)

    LC. Garcia

    Full Text Available "Canga" is a name given to the ferruginous rocky fields that can be found in the "Quadrilátero Ferrífero" of Minas Gerais, Brazil. The endemism and species richness make them areas of special biological importance, regarded as high-priority for conservation. Nevertheless, they are being threatened by intense mining activity. Aiming to understand more about this flora, this study was performed in order to determine the maturation or dispersal period of the fruits of four Canga species, Alibertia vaccinioides K.Schum. (Rubiaceae, Coccoloba acrostichoides Cham. (Polygonaceae, Miconia sellowiana Naudin (Melastomataceae, and one probable new species of Calyptranthes Sw. (Myrtaceae. Although fruit maturation or dispersal tended to occur at the end of the dry season, some asynchrony was observed in these species, with food sources being available during most of the year. This shows that these species have the potential to attract animals the whole year round, and planting them for the recovery of iron mining areas may increase the community's self-regeneration capacity, leading to a more successful restoration process.

  5. Genetic process mining

    NARCIS (Netherlands)

    Aalst, van der W.M.P.; Alves De Medeiros, A.K.; Weijters, A.J.M.M.; Ciardo, G.; Darondeau, P.

    2005-01-01

    The topic of process mining has attracted the attention of both researchers and tool vendors in the Business Process Management (BPM) space. The goal of process mining is to discover process models from event logs, i.e., events logged by some information system are used to extract information about

  6. Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

    Science.gov (United States)

    Jia, Feng; Lei, Yaguo; Lin, Jing; Zhou, Xin; Lu, Na

    2016-05-01

    Aiming to promptly process the massive fault data and automatically provide accurate diagnosis results, numerous studies have been conducted on intelligent fault diagnosis of rotating machinery. Among these studies, the methods based on artificial neural networks (ANNs) are commonly used, which employ signal processing techniques for extracting features and further input the features to ANNs for classifying faults. Though these methods did work in intelligent fault diagnosis of rotating machinery, they still have two deficiencies. (1) The features are manually extracted depending on much prior knowledge about signal processing techniques and diagnostic expertise. In addition, these manual features are extracted according to a specific diagnosis issue and probably unsuitable for other issues. (2) The ANNs adopted in these methods have shallow architectures, which limits the capacity of ANNs to learn the complex non-linear relationships in fault diagnosis issues. As a breakthrough in artificial intelligence, deep learning holds the potential to overcome the aforementioned deficiencies. Through deep learning, deep neural networks (DNNs) with deep architectures, instead of shallow ones, could be established to mine the useful information from raw data and approximate complex non-linear functions. Based on DNNs, a novel intelligent method is proposed in this paper to overcome the deficiencies of the aforementioned intelligent diagnosis methods. The effectiveness of the proposed method is validated using datasets from rolling element bearings and planetary gearboxes. These datasets contain massive measured signals involving different health conditions under various operating conditions. The diagnosis results show that the proposed method is able to not only adaptively mine available fault characteristics from the measured signals, but also obtain superior diagnosis accuracy compared with the existing methods.

  7. Chimpanzees' Context-Dependent Tool Use Provides Evidence for Separable Representations of Hand and Tool Even during Active Use within Peripersonal Space

    Science.gov (United States)

    Povinelli, Daniel J.; Reaux, James E.; Frey, Scott H.

    2010-01-01

    Considerable attention has been devoted to behaviors in which tools are used to perform actions in extrapersonal space by extending the reach. Evidence suggests that these behaviors result in an expansion of the body schema and peripersonal space. However, humans often use tools to perform tasks within peripersonal space that cannot be…

  8. Automatic flow-through dynamic extraction: A fast tool to evaluate char-based remediation of multi-element contaminated mine soils.

    Science.gov (United States)

    Rosende, María; Beesley, Luke; Moreno-Jimenez, Eduardo; Miró, Manuel

    2016-02-01

    An automatic in-vitro bioaccessibility test based upon dynamic microcolumn extraction in a programmable flow setup is herein proposed as a screening tool to evaluate bio-char based remediation of mine soils contaminated with trace elements as a compelling alternative to conventional phyto-availability tests. The feasibility of the proposed system was evaluated by extracting the readily bioaccessible pools of As, Pb and Zn in two contaminated mine soils before and after the addition of two biochars (9% (w:w)) of diverse source origin (pine and olive). Bioaccessible fractions under worst-case scenarios were measured using 0.001 mol L(-1) CaCl2 as extractant for mimicking plant uptake, and analysis of the extracts by inductively coupled optical emission spectrometry. The t-test of comparison of means revealed an efficient metal (mostly Pb and Zn) immobilization by the action of olive pruning-based biochar against the bare (control) soil at the 0.05 significance level. In-vitro flow-through bioaccessibility tests are compared for the first time with in-vivo phyto-toxicity assays in a microcosm soil study. By assessing seed germination and shoot elongation of Lolium perenne in contaminated soils with and without biochar amendments the dynamic flow-based bioaccessibility data proved to be in good agreement with the phyto-availability tests. Experimental results indicate that the dynamic extraction method is a viable and economical in-vitro tool in risk assessment explorations to evaluate the feasibility of a given biochar amendment for revegetation and remediation of metal contaminated soils in a mere 10 min against 4 days in case of phyto-toxicity assays. Copyright © 2015 Elsevier B.V. All rights reserved.

  9. The power of data--from data mining to consumer pricing and quality-of-care tools.

    Science.gov (United States)

    Malof, Leah C

    2013-01-01

    Transparency tools, whether offered by carriers or third-party administrators, rely on adequate experience, by market and by service, to provide information to consumers about health care costs and quality of care. The opportunities for savings to individual consumers and to employer-sponsored health plans are clearly significant and possible if people will use the tools and act. This article reviews two studies showing a shift in consumer claims experience to less costly services afte the implementation of a transparency tool and when combined with a consumer-driven health plan. It also outlines best practices employers can implement to carefully craft interventions to engage and create value in the minds of health care consumers.

  10. Variations of Pb in a mine-impacted tropical river, Taxco, Mexico: Use of geochemical, isotopic and statistical tools

    Energy Technology Data Exchange (ETDEWEB)

    Arcega-Cabrera, F. [Unidad de Quimica en Sisal, Facultad de Quimica, UNAM, Sisal 97355 (Mexico)], E-mail: arcega@icmyl.unam.mx; Armienta, M.A. [Instituto de Geofisica, UNAM, Mexico 04510 (Mexico); Daessle, L.W. [Instituto de Investigaciones Oceanologicas, UABC, Ensenada 22870 (Mexico); Castillo-Blum, S.E. [Facultad de Quimica, UNAM, Mexico 04510 (Mexico); Talavera, O. [Escuela de Ciencias de la Tierra, UAG, Taxco Viejo 40201 (Mexico); Dotor, A. [Instituto de Geofisica, UNAM, Mexico 04510 (Mexico)

    2009-01-15

    The potential environmental threat from Pb in Mexican rivers impacted by historic mining activities was studied using geochemical, isotopic and statistical methods. Lead geochemical fractionation and factor analysis of fractionated and total Pb indicate that anthropogenic sources have contributed significantly to Pb concentrations, while natural sources have contributed only small amounts. The analyses also indicate that two main processes are controlling the total Pb variation throughout the year in both rivers: erosion with discharge processes, and proportional dilution related to differences in grain-size distribution processes. Bio-available Pb in riverbed sediments was greater than 50% in 80% of the sampling stations indicating a high potential environmental risk, according to the risk assessment criteria (RAC). Nevertheless, based on the environmental chemistry of Pb and on multivariate statistical analysis, these criteria did not apply in this particular case. Significant differences (p < 0.05) in total Pb concentrations (from 50 to 5820 mg kg{sup -1}) and in the geochemical fractionation were observed as a function of seasonality and location along the river flow path. In the Cacalotenango and Taxco rivers, the highest concentrations of total Pb were found at stations close to tailings during the rainy and post-rainy seasons. The geochemistry of Pb was mainly controlled, during the dry and post-rainy seasons by the organic matter and carbonate content, and in the rainy season by hydrological conditions (e.g., the increase in river flux), hydrological basin erosion, and the suspended solids concentration. Isotopic analyses of the {sup 210}Pb/{sup 214}Pb ratio showed three processes in the Cacalotenango and Taxco rivers. First, the accumulation of atmospheric excess {sup 210}Pb, favoured during calmer hydrodynamic conditions in the river basin commonly during dry periods, is recorded by a {sup 210}Pb/{sup 214}Pb ratio of >1. In the case of the Cacalotenango

  11. A Novel Computational Tool for Mining Real-Life Data: Application in the Metastatic Colorectal Cancer Care Setting.

    Science.gov (United States)

    Siegelmann-Danieli, Nava; Farkash, Ariel; Katzir, Itzhak; Vesterman Landes, Janet; Rotem Rabinovich, Hadas; Lomnicky, Yossef; Carmeli, Boaz; Parush-Shear-Yashuv, Naama

    2016-01-01

    Randomized clinical trials constitute the gold-standard for evaluating new anti-cancer therapies; however, real-life data are key in complementing clinically useful information. We developed a computational tool for real-life data analysis and applied it to the metastatic colorectal cancer (mCRC) setting. This tool addressed the impact of oncology/non-oncology parameters on treatment patterns and clinical outcomes. The developed tool enables extraction of any computerized information including comorbidities and use of drugs (oncological/non-oncological) per individual HMO member. The study in which we evaluated this tool was a retrospective cohort study that included Maccabi Healthcare Services members with mCRC receiving bevacizumab with fluoropyrimidines (FP), FP plus oxaliplatin (FP-O), or FP plus irinotecan (FP-I) in the first-line between 9/2006 and 12/2013. The analysis included 753 patients of whom 15.4% underwent subsequent metastasectomy (the Surgery group). For the entire cohort, median overall survival (OS) was 20.5 months; in the Surgery group, median duration of bevacizumab-containing therapy (DOT) pre-surgery was 6.1 months; median OS was not reached. In the Non-surgery group, median OS and DOT were 18.7 and 11.4 months, respectively; no significant OS differences were noted between FP-O and FP-I, whereas FP use was associated with shorter OS (12.3 month; p controlling for age and gender) identified several non-oncology parameters associated with poorer clinical outcomes including concurrent use of diuretics and proton-pump inhibitors. Our tool provided insights that confirmed/complemented information gained from randomized-clinical trials. Prospective tool implementation is warranted.

  12. Sediment matrix characterization as a tool for evaluating the environmental impact of heavy metals in metal mining, smelting, and ore processing areas.

    Science.gov (United States)

    Ružičková, Silvia; Remeteiová, Dagmar; Mičková, Vladislava; Dirner, Vojtech

    2018-02-21

    In this work, the matrix characterization (mineralogy, total and local chemical composition, and total organic (TOC) and inorganic carbon (TIC) contents) of different types of sediments from mining- and metallurgy-influenced areas and the assessment of the impact of the matrix on the association of potentially hazardous metals with the mineral phases of these samples, which affect their mobility in the environment, are presented. For these purposes, sediment samples with different origins and from different locations in the environment were analyzed. Anthropogenic sediments from metal-rich post-flotation tailings (Lintich, Slovakia) represent waste from ore processing, natural river sediments from the Hornád River (Košice, Slovakia) represent areas influenced predominantly by the metallurgical industry, and lake sediments from a water reservoir Ružín (inflow from the Hornád and Hnilec Rivers, Slovakia) represent the impact of the metallurgical and/or mining industries. The total metal contents were determined by X-ray fluorescence (XRF) analysis, the local chemical and morphological microanalysis by scanning electron microscopy with energy-dispersive spectroscopy (SEM-EDS), and the TOC and TIC contents by infrared (IR) spectrometry. The mobility/bioavailability of Cu, Pb, and Zn in/from sediments at the studied areas was assessed by ethylenediaminetetraacetic acid (EDTA) and acetic acid (AA) extraction and is discussed in the context of the matrix composition. The contents of selected potentially hazardous elements in the extracts were determined by the high-resolution continuum source flame atomic absorption spectrometry (HR-CS FAAS).

  13. MoleculaRnetworks: an integrated graph theoretic and data mining tool to explore solvent organization in molecular simulation.

    Science.gov (United States)

    Mooney, Barbara Logan; Corrales, L René; Clark, Aurora E

    2012-03-30

    This work discusses scripts for processing molecular simulations data written using the software package R: A Language and Environment for Statistical Computing. These scripts, named moleculaRnetworks, are intended for the geometric and solvent network analysis of aqueous solutes and can be extended to other H-bonded solvents. New algorithms, several of which are based on graph theory, that interrogate the solvent environment about a solute are presented and described. This includes a novel method for identifying the geometric shape adopted by the solvent in the immediate vicinity of the solute and an exploratory approach for describing H-bonding, both based on the PageRank algorithm of Google search fame. The moleculaRnetworks codes include a preprocessor, which distills simulation trajectories into physicochemical data arrays, and an interactive analysis script that enables statistical, trend, and correlation analysis, and other data mining. The goal of these scripts is to increase access to the wealth of structural and dynamical information that can be obtained from molecular simulations. Copyright © 2012 Wiley Periodicals, Inc.

  14. A Novel Computational Tool for Mining Real-Life Data: Application in the Metastatic Colorectal Cancer Care Setting.

    Directory of Open Access Journals (Sweden)

    Nava Siegelmann-Danieli

    Full Text Available Randomized clinical trials constitute the gold-standard for evaluating new anti-cancer therapies; however, real-life data are key in complementing clinically useful information. We developed a computational tool for real-life data analysis and applied it to the metastatic colorectal cancer (mCRC setting. This tool addressed the impact of oncology/non-oncology parameters on treatment patterns and clinical outcomes.The developed tool enables extraction of any computerized information including comorbidities and use of drugs (oncological/non-oncological per individual HMO member. The study in which we evaluated this tool was a retrospective cohort study that included Maccabi Healthcare Services members with mCRC receiving bevacizumab with fluoropyrimidines (FP, FP plus oxaliplatin (FP-O, or FP plus irinotecan (FP-I in the first-line between 9/2006 and 12/2013.The analysis included 753 patients of whom 15.4% underwent subsequent metastasectomy (the Surgery group. For the entire cohort, median overall survival (OS was 20.5 months; in the Surgery group, median duration of bevacizumab-containing therapy (DOT pre-surgery was 6.1 months; median OS was not reached. In the Non-surgery group, median OS and DOT were 18.7 and 11.4 months, respectively; no significant OS differences were noted between FP-O and FP-I, whereas FP use was associated with shorter OS (12.3 month; p <0.002; notably, these patients were older. Patients who received both FP-O- and FP-I-based regimens achieved numerically longer OS vs. those who received only one of these regimens (22.1 [19.9-24.0] vs. 18.9 [15.5-21.9] months. Among patients assessed for wild-type KRAS and treated with subsequent anti-EGFR agent, OS was 25.4 months and 18.7 months for 124 treated vs. 37 non-treated patients (non-significant. Cox analysis (controlling for age and gender identified several non-oncology parameters associated with poorer clinical outcomes including concurrent use of diuretics and proton

  15. De-MetaST-BLAST: a tool for the validation of degenerate primer sets and data mining of publicly available metagenomes.

    Directory of Open Access Journals (Sweden)

    Christopher A Gulvik

    Full Text Available Development and use of primer sets to amplify nucleic acid sequences of interest is fundamental to studies spanning many life science disciplines. As such, the validation of primer sets is essential. Several computer programs have been created to aid in the initial selection of primer sequences that may or may not require multiple nucleotide combinations (i.e., degeneracies. Conversely, validation of primer specificity has remained largely unchanged for several decades, and there are currently few available programs that allows for an evaluation of primers containing degenerate nucleotide bases. To alleviate this gap, we developed the program De-MetaST that performs an in silico amplification using user defined nucleotide sequence dataset(s and primer sequences that may contain degenerate bases. The program returns an output file that contains the in silico amplicons. When De-MetaST is paired with NCBI's BLAST (De-MetaST-BLAST, the program also returns the top 10 nr NCBI database hits for each recovered in silico amplicon. While the original motivation for development of this search tool was degenerate primer validation using the wealth of nucleotide sequences available in environmental metagenome and metatranscriptome databases, this search tool has potential utility in many data mining applications.

  16. An exploration of inter-organisational partnership assessment tools in the context of Australian Aboriginal-mainstream partnerships: a scoping review of the literature

    OpenAIRE

    Tsou, Christina; Haynes, Emma; Warner, Wayne D; Gray, Gordon; Thompson, Sandra C

    2015-01-01

    Background The need for better partnerships between Aboriginal organisations and mainstream agencies demands attention on process and relational elements of these partnerships, and improving partnership functioning through transformative or iterative evaluation procedures. This paper presents the findings of a literature review which examines the usefulness of existing partnership tools to the Australian Aboriginal-mainstream partnership (AMP) context. Methods Three sets of best practice prin...

  17. Use Contexts and Usage Patterns of Interactive Case Simulation Tools by HIV Healthcare Providers in a Statewide Online Clinical Education Program.

    Science.gov (United States)

    Wang, Dongwen

    2017-01-01

    We analyzed four interactive case simulation tools (ICSTs) from a statewide online clinical education program. Results have shown that ICSTs are increasingly used by HIV healthcare providers. Smart phone has become the primary usage platform for specific ICSTs. Usage patterns depend on particular ICST modules, usage stages, and use contexts. Future design of ICSTs should consider these usage patterns for more effective dissemination of clinical evidence to healthcare providers.

  18. Trust Mines

    Science.gov (United States)

    The United States and the Navajo Nation entered into settlement agreements that provide funds to conduct investigations and any needed cleanup at 16 of the 46 priority mines, including six mines in the Northern Abandoned Uranium Mine Region.

  19. Simulation of rectifier voltage malfunction on OWECS, four-level converter, HVDC light link: Smart grid context tool

    International Nuclear Information System (INIS)

    Seixas, M.; Melício, R.; Mendes, V.M.F.

    2015-01-01

    Highlights: • Floating offshore wind turbine in deep water. • DC link and voltage malfunction. • Converter topology considered is four-level. • Controllers are based on fractional-order. • Smart grid context. - Abstract: This paper presents a model for the simulation of an offshore wind system having a rectifier input voltage malfunction at one phase. The offshore wind system model comprises a variable-speed wind turbine supported on a floating platform, equipped with a permanent magnet synchronous generator using full-power four-level neutral point clamped converter. The link from the offshore floating platform to the onshore electrical grid is done through a light high voltage direct current submarine cable. The drive train is modeled by a three-mass model. Considerations about the smart grid context are offered for the use of the model in such a context. The rectifier voltage malfunction domino effect is presented as a case study to show capabilities of the model

  20. Recurrent process mining with live event data

    NARCIS (Netherlands)

    Syamsiyah, A.; van Dongen, B.F.; van der Aalst, W.M.P.; Teniente, E.; Weidlich, M.

    2018-01-01

    In organizations, process mining activities are typically performed in a recurrent fashion, e.g. once a week, an event log is extracted from the information systems and a process mining tool is used to analyze the process’ characteristics. Typically, process mining tools import the data from a

  1. Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial.

    Science.gov (United States)

    Roelofs, Erik; Persoon, Lucas; Nijsten, Sebastiaan; Wiessler, Wolfgang; Dekker, André; Lambin, Philippe

    2013-07-01

    Collecting trial data in a medical environment is at present mostly performed manually and therefore time-consuming, prone to errors and often incomplete with the complex data considered. Faster and more accurate methods are needed to improve the data quality and to shorten data collection times where information is often scattered over multiple data sources. The purpose of this study is to investigate the possible benefit of modern data warehouse technology in the radiation oncology field. In this study, a Computer Aided Theragnostics (CAT) data warehouse combined with automated tools for feature extraction was benchmarked against the regular manual data-collection processes. Two sets of clinical parameters were compiled for non-small cell lung cancer (NSCLC) and rectal cancer, using 27 patients per disease. Data collection times and inconsistencies were compared between the manual and the automated extraction method. The average time per case to collect the NSCLC data manually was 10.4 ± 2.1 min and 4.3 ± 1.1 min when using the automated method (pdata collected for NSCLC and 5.3% for rectal cancer, there was a discrepancy between the manual and automated method. Aggregating multiple data sources in a data warehouse combined with tools for extraction of relevant parameters is beneficial for data collection times and offers the ability to improve data quality. The initial investments in digitizing the data are expected to be compensated due to the flexibility of the data analysis. Furthermore, successive investigations can easily select trial candidates and extract new parameters from the existing databases. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  2. Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial

    International Nuclear Information System (INIS)

    Roelofs, Erik; Persoon, Lucas; Nijsten, Sebastiaan; Wiessler, Wolfgang; Dekker, André; Lambin, Philippe

    2013-01-01

    Introduction: Collecting trial data in a medical environment is at present mostly performed manually and therefore time-consuming, prone to errors and often incomplete with the complex data considered. Faster and more accurate methods are needed to improve the data quality and to shorten data collection times where information is often scattered over multiple data sources. The purpose of this study is to investigate the possible benefit of modern data warehouse technology in the radiation oncology field. Material and methods: In this study, a Computer Aided Theragnostics (CAT) data warehouse combined with automated tools for feature extraction was benchmarked against the regular manual data-collection processes. Two sets of clinical parameters were compiled for non-small cell lung cancer (NSCLC) and rectal cancer, using 27 patients per disease. Data collection times and inconsistencies were compared between the manual and the automated extraction method. Results: The average time per case to collect the NSCLC data manually was 10.4 ± 2.1 min and 4.3 ± 1.1 min when using the automated method (p < 0.001). For rectal cancer, these times were 13.5 ± 4.1 and 6.8 ± 2.4 min, respectively (p < 0.001). In 3.2% of the data collected for NSCLC and 5.3% for rectal cancer, there was a discrepancy between the manual and automated method. Conclusions: Aggregating multiple data sources in a data warehouse combined with tools for extraction of relevant parameters is beneficial for data collection times and offers the ability to improve data quality. The initial investments in digitizing the data are expected to be compensated due to the flexibility of the data analysis. Furthermore, successive investigations can easily select trial candidates and extract new parameters from the existing databases

  3. Additional disturbances as a beneficial tool for restoration of post-mining sites: a multi-taxa approach.

    Science.gov (United States)

    Řehounková, Klára; Čížek, Lukáš; Řehounek, Jiří; Šebelíková, Lenka; Tropek, Robert; Lencová, Kamila; Bogusch, Petr; Marhoul, Pavel; Máca, Jan

    2016-07-01

    Open interior sands represent a highly threatened habitat in Europe. In recent times, their associated organisms have often found secondary refuges outside their natural habitats, mainly in sand pits. We investigated the effects of different restoration approaches, i.e. spontaneous succession without additional disturbances, spontaneous succession with additional disturbances caused by recreational activities, and forestry reclamation, on the diversity and conservation values of spiders, beetles, flies, bees and wasps, orthopterans and vascular plants in a large sand pit in the Czech Republic, Central Europe. Out of 406 species recorded in total, 112 were classified as open sand specialists and 71 as threatened. The sites restored through spontaneous succession with additional disturbances hosted the largest proportion of open sand specialists and threatened species. The forestry reclamations, in contrast, hosted few such species. The sites with spontaneous succession without disturbances represent a transition between these two approaches. While restoration through spontaneous succession favours biodiversity in contrast to forestry reclamation, additional disturbances are necessary to maintain early successional habitats essential for threatened species and open sand specialists. Therefore, recreational activities seem to be an economically efficient restoration tool that will also benefit biodiversity in sand pits.

  4. Adaptation and standardization of a Western tool for assessing child development in non-Western low-income context

    Directory of Open Access Journals (Sweden)

    Teklu Gemechu Abessa

    2016-07-01

    Full Text Available Abstract Background Due to lack of culturally relevant assessment tools, little is known about children’s developmental profiles in low income settings such as Ethiopia. The objective of this study was to adapt and standardize the Denver II for assessing child development in Jimma Zone, South West Ethiopia. Methods Culture-specific test items in Denver II were modified. After translation into two local languages, all test items were piloted and fine-tuned. Using 1597 healthy children 4 days to 70.6 months of age, the 25, 50, 75 and 90 % passing ages were determined for each test item as milestones. Milestones attainment on the adapted version and the Denver II were compared on the 90 % passing age. Reliability of the adapted tool was examined. Results A total of 36 (28.8 % test items, mostly from personal social domain, were adapted. Milestones attainment ages on the two versions differed significantly on 42 (34 % test items. The adapted tool has an excellent inter-rater on 123 (98 % items and substantial to excellent test-retest reliability on 119 (91 % items. Conclusions A Western developmental assessment tool can be adapted reliably for use in low-income settings. Age differences in attaining milestones indicate a correct estimation of child development requires a population-specific standard.

  5. Data Mining – Innovative Method for Obtaining Information in Marketingand Business Management

    Directory of Open Access Journals (Sweden)

    Mirela-Cristina Voicu

    2011-05-01

    Full Text Available The existence of massive amounts of data raised the question of using their reorientation to a retrospective to a prospective operation. Data mining offers the promise of an important aid for discovering hidden patterns in data that can be used to predict the behavior of customers, products and processes. Data mining tools must be guided by users who understand the business, the general nature of the data and analytical methods involved. It discovers information within the data that queries and reports can’t effectively reveal. It is vital to collect data and prepare properly, to face reality models. Choosing the most appropriate product data mining is to find a tool with the capabilities required, an interface that matches the skills of users and can be applied in a specific business problem. In this context, the purpose of this paper is to illustrate some of the problems of company activity problems which can be solved by using data mining techniques.

  6. Analysis of Occupational Accidents in Underground and Surface Mining in Spain Using Data-Mining Techniques.

    Science.gov (United States)

    Sanmiquel, Lluís; Bascompta, Marc; Rossell, Josep M; Anticoi, Hernán Francisco; Guash, Eduard

    2018-03-07

    An analysis of occupational accidents in the mining sector was conducted using the data from the Spanish Ministry of Employment and Social Safety between 2005 and 2015, and data-mining techniques were applied. Data was processed with the software Weka. Two scenarios were chosen from the accidents database: surface and underground mining. The most important variables involved in occupational accidents and their association rules were determined. These rules are composed of several predictor variables that cause accidents, defining its characteristics and context. This study exposes the 20 most important association rules in the sector-either surface or underground mining-based on the statistical confidence levels of each rule as obtained by Weka. The outcomes display the most typical immediate causes, along with the percentage of accidents with a basis in each association rule. The most important immediate cause is body movement with physical effort or overexertion, and the type of accident is physical effort or overexertion. On the other hand, the second most important immediate cause and type of accident are different between the two scenarios. Data-mining techniques were chosen as a useful tool to find out the root cause of the accidents.

  7. Modified social ecological model: a tool to guide the assessment of the risks and risk contexts of HIV epidemics.

    Science.gov (United States)

    Baral, Stefan; Logie, Carmen H; Grosso, Ashley; Wirtz, Andrea L; Beyrer, Chris

    2013-05-17

    Social and structural factors are now well accepted as determinants of HIV vulnerabilities. These factors are representative of social, economic, organizational and political inequities. Associated with an improved understanding of multiple levels of HIV risk has been the recognition of the need to implement multi-level HIV prevention strategies. Prevention sciences research and programming aiming to decrease HIV incidence requires epidemiologic studies to collect data on multiple levels of risk to inform combination HIV prevention packages. Proximal individual-level risks, such as sharing injection devices and unprotected penile-vaginal or penile-anal sex, are necessary in mediating HIV acquisition and transmission. However, higher order social and structural-level risks can facilitate or reduce HIV transmission on population levels. Data characterizing these risks is often far more actionable than characterizing individual-level risks. We propose a modified social ecological model (MSEM) to help visualize multi-level domains of HIV infection risks and guide the development of epidemiologic HIV studies. Such a model may inform research in epidemiology and prevention sciences, particularly for key populations including men who have sex with men (MSM), people who inject drugs (PID), and sex workers. The MSEM builds on existing frameworks by examining multi-level risk contexts for HIV infection and situating individual HIV infection risks within wider network, community, and public policy contexts as well as epidemic stage. The utility of the MSEM is demonstrated with case studies of HIV risk among PID and MSM. The MSEM is a flexible model for guiding epidemiologic studies among key populations at risk for HIV in diverse sociocultural contexts. Successful HIV prevention strategies for key populations require effective integration of evidence-based biomedical, behavioral, and structural interventions. While the focus of epidemiologic studies has traditionally been on

  8. Human health risk assessment of lead from mining activities at semi-arid locations in the context of total lead exposure.

    Science.gov (United States)

    Zheng, Jiajia; Huynh, Trang; Gasparon, Massimo; Ng, Jack; Noller, Barry

    2013-12-01

    Lead from historical mining and mineral processing activities may pose potential human health risks if materials with high concentrations of bioavailable lead minerals are released to the environment. Since the Joint Expert Committee on Food Additives of Food and Agriculture Organization/World Health Organization withdrew the Provisional Tolerable Weekly Intake of lead in 2011, an alternative method was required for lead exposure assessment. This study evaluated the potential lead hazard to young children (0-7 years) from a historical mining location at a semi-arid area using the U.S. EPA Integrated Exposure Uptake Biokinetic (IEUBK) Model, with selected site-specific input data. This study assessed lead exposure via the inhalation pathway for children living in a location affected by lead mining activities and with specific reference to semi-arid conditions and made comparison with the ingestion pathway by using the physiologically based extraction test for gastro-intestinal simulation. Sensitivity analysis for major IEUBK input parameters was conducted. Three groups of input parameters were classified according to the results of predicted blood concentrations. The modelled lead absorption attributed to the inhalation route was lower than 2 % (mean ± SE, 0.9 % ± 0.1 %) of all lead intake routes and was demonstrated as a less significant exposure pathway to children's blood, compared with ingestion. Whilst dermal exposure was negligible, diet and ingestion of soil and dust were the dominant parameters in terms of children's blood lead prediction. The exposure assessment identified the changing role of dietary intake when house lead loadings varied. Recommendations were also made to conduct comprehensive site-specific human health risk assessment in future studies of lead exposure under a semi-arid climate.

  9. Qlikview Audit Tool (QLIKVIEW) -

    Data.gov (United States)

    Department of Transportation — This tool supports the cyclical financial audit process. Qlikview supports large volumes of financial transaction data that can be mined, summarized and presented to...

  10. Uranium from Africa - An overview on past and current mining activities: Re-appraising associated risks and chances in a global context

    Science.gov (United States)

    Winde, Frank; Brugge, Doug; Nidecker, Andreas; Ruegg, Urs

    2017-05-01

    In 2003, nuclear power received renewed interest as a perceived climate-neutral way to meet high energy demands of large industrialized countries, such as China, India, Russia and the USA. It triggered a growing demand for uranium (U) as nuclear fuel. Dubbed the 'nuclear renaissance', the U-price rose over tenfold before the global credit crisis dampend the rush. Many efforts to capitalise on the renewed demand focused on Africa. This paper provides an overview on the type and extent of uranium mining, production and exploration on the African continent and discusses the economic benefits as well as the potential environmental and health risks and the long-term needs for remediation of legacy sites. The actual historical results of uranium mining activities in more than thirty African countries provide data against which to assess the existing risks of uranium development. The already existing uraniferous waste in several African countries threatens scarce water resources and the health of adjacent residents. Responsibility should rest with the governments and the companies to ensure that these threats are not realized.

  11. Health crises due to infectious and communicable diseases : European preparedness and response tools in an international context.

    Science.gov (United States)

    Mahy, Patrick; Collard, Jean-Marc; Gala, Jean-Luc; Herman, Philippe; Groof, Dirk De; Quoilin, Sophie; Sneyers, Myriam

    2017-06-01

    The combination of changes in eating habits, ways of living, globalisation, extensive travelling and the migration of millions of people around the world may be contributing to increased health risks. Certainly, health crises today are proving highly complex. More and more people are travelling and may carry with them unexpected virus vectors such as mosquitoes. Preparedness is challenging and there is a need for action plans to safeguard the growing at-risk population. Health crises can potentially affect a large proportion of the population and may lead to a significant increase in mortality or to an abnormally high death rate. This should be integrated into the general concept of national and international surveillance in order to provide a prepared response in the event of crisis. This paper provides an inventory of the relevant laws, guidelines and tools in Europe (and to a lesser degree, beyond), and proposes answers to the health crisis problems associated with infectious and communicable diseases. In crisis management, communication is an important factor to consider. This paper can serve as a tool for people involved in crisis preparedness.

  12. E-Learning Lifecycles:How Communities and Context can affect E-learning Specifications and Tool Design

    Directory of Open Access Journals (Sweden)

    Michael Magee

    2004-10-01

    Full Text Available The development of a large body of e-learning specifications, such as IMS and SCORM, has led to the proposal for a new way to facilitate content workflow. This involves the movement of educational digital content and the knowledge of pedagogical communities into an online space. Several projects have looked at the theoretical structure of these specifications. They implemented a series of tools in order to examine and research the issues around the actual usage of these specifications. The CAREO, ALOHA and ALOHA 2 projects were designed to expose both individual users and whole institutions to these ideas. Initial research into the result of those interactions indicates that there is some utility in the adoption of e-learning specifications. The future success of them will depend on their ability to adapt and meet the needs of the educational community as they begin to adopt, use and evolve the way they use the specifications and the tools created around them.

  13. Data mining in agriculture

    CERN Document Server

    Mucherino, Antonio; Pardalos, Panos M

    2009-01-01

    Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®. Examples and exercises with solutions are provided at the end of each chapter to facilitate the comprehension of the material. For each data mining technique described in the book variants and improvements of the basic algorithm are also given. Also by P.J. Papajorgji and P.M. Pardalos: Advances in Modeling Agricultural Systems, 'Springer Optimization and its Applications' vol. 25, ©2009.

  14. Assessing and Developing the Application of LEED Green Building Rating System as a Sustainable Project Management and Market Tool in the Italian Context

    Directory of Open Access Journals (Sweden)

    Walaa S. E. Ismaee

    2016-07-01

    Full Text Available The paper discusses the recent introduction of the LEED system to the Italian context in order to assess its role to promote sustainable building process in the Italian context, pointing out its potentials on one hand as well as their gaps and limitations on the other hand, and suggests means for its future development. The study discusses the application of LEED as a ‘Sustainable Project management tool’ to guide sustainable building performance. This requires investigating the following: its structure, tools, assessment criteria along with its benchmarks and references. It also discusses the application of LEED as a ‘Sustainable building Certification and market tool’. This investigates the role and value of the LEED certification in the Italian Green market. The research method is comprised of three parts. The first part is a comparative analysis of LEED categories against Italian national initiatives for sustainability. The comparison showed that most LEED categories are already mandated by national norms and directives but they may differ in their stringency creating some areas of precedence of LEED system or drawbacks. This streamlines the adaptation process of LEED system to the Italian context. The second part investigates LEED projects’ market analysis. The result showed that the shift towards a sustainable building process is occurring slowly and on a vertical scale focusing on some building sectors rather than others. Its market diffusion in the Italian context faces challenges regarding the insufficient availability of green materials and products satisfying its requirements, as well as high soft cost of sustainability tests and expertise required. The Third part presents a practical review-citing the methodology and results of a survey conducted by the researchers in mid-2012. It is composed of a web-based questionnaire and interviews among a sample of LEED professionals in Italy. The result shows that LEED systems needs

  15. Advances in Machine Learning and Data Mining for Astronomy

    Science.gov (United States)

    Way, Michael J.; Scargle, Jeffrey D.; Ali, Kamal M.; Srivastava, Ashok N.

    2012-03-01

    Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines, the material discussed in this text transcends traditional boundaries between various areas in the sciences and computer science. The book's introductory part provides context to issues in the astronomical sciences that are also important to health, social, and physical sciences, particularly probabilistic and statistical aspects of classification and cluster analysis. The next part describes a number of astrophysics case studies that leverage a range of machine learning and data mining technologies. In the last part, developers of algorithms and practitioners of machine learning and data mining show how these tools and techniques are used in astronomical applications. With contributions from leading astronomers and computer scientists, this book is a practical guide to many of the most important developments in machine learning, data mining, and statistics. It explores how these advances can solve current and future problems in astronomy and looks at how they could lead to the creation of entirely new algorithms within the data mining community.

  16. SPELEOTHERAPY DEVELOPMENT IN ROMANIA ON THE WORLD CONTEXT AND PERSPECTIVES FOR USE OF SOME SALT MINES AND KARST CAVES FOR SPELEOTHERAPEUTIC AND BALNEOCLIMATIC TOURISM PURPOSES

    Directory of Open Access Journals (Sweden)

    Simionca Iuri

    2013-09-01

    Full Text Available Speleotherapy (ST is a relatively new method of complementary medicine, although, as is well known ancient tribes appreciated isolation in underwater caves, salt or karst caves, or possessing various ores and was officially recognized in the years 1950-1960 in Germany (K.Spannagel, 1961 and Poland (M. Skulimowski, 1965. Professor Mieczyslaw Skulimowski has granted of speleotherapy in "Wieliczka" Salt Mine, the name of subterraneotherapy, soon to be also called the Skulimowski method. Number of speleotherapeutic centers and speleotherapy symposiums has increased considerably (H.Trimmel, 1994. Speleotherapy in the underground now is an effective therapeutic method for the treatment of obstructive respiratory tract diseases, especially of patients with bronchial asthma (BA, the upward and effective practice in Central and Eastern Europe, but also in the West: Austria, Czech Republic, Germany, Poland, Russia, Slovakia, Ukraine, Belarus, Hungary etc.

  17. Pollution cumulative effects on the environment in Roşia Montană mining area and neighborhoods (Romania in the context of sustainable development

    Directory of Open Access Journals (Sweden)

    Adina-Maria JURJ

    2013-08-01

    Full Text Available In the present paper, we present the situation of one of the most polluted, but also very famous locality from Romania, Roşia Montană. Pollution is a serious problem for this place, because of its long history of mining, dating here from millennia. But a more dangerous form of pollution may be that produced by cyanide technology, one of the most cheap but also most poisonous method to obtain gold from ores. Because of the immense scale of the presumed project of RMGC, a Canadian company, the use of cyanide, supposed to be collected in a huge dam, with a capacity of approximately 250,000 tons of contaminated waste, represents a powerful chemical danger to the environment. And this is not the only aspect, even the most important, of the problems that affects or could affect the area in discussion

  18. Mine drivage in hydraulic mines

    Energy Technology Data Exchange (ETDEWEB)

    Ehkber, B Ya

    1983-09-01

    From 20 to 25% of labor cost in hydraulic coal mines falls on mine drivage. Range of mine drivage is high due to the large number of shortwalls mined by hydraulic monitors. Reducing mining cost in hydraulic mines depends on lowering drivage cost by use of new drivage systems or by increasing efficiency of drivage systems used at present. The following drivage methods used in hydraulic mines are compared: heading machines with hydraulic haulage of cut rocks and coal, hydraulic monitors with hydraulic haulage, drilling and blasting with hydraulic haulage of blasted rocks. Mining and geologic conditions which influence selection of the optimum mine drivage system are analyzed. Standardized cross sections of mine roadways driven by the 3 methods are shown in schemes. Support systems used in mine roadways are compared: timber supports, roof bolts, roof bolts with steel elements, and roadways driven in rocks without a support system. Heading machines (K-56MG, GPKG, 4PU, PK-3M) and hydraulic monitors (GMDTs-3M, 12GD-2) used for mine drivage are described. Data on mine drivage in hydraulic coal mines in the Kuzbass are discussed. From 40 to 46% of roadways are driven by heading machines with hydraulic haulage and from 12 to 15% by hydraulic monitors with hydraulic haulage.

  19. Contextual Text Mining

    Science.gov (United States)

    Mei, Qiaozhu

    2009-01-01

    With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text. Text is generally associated with all kinds of contextual information. Those contexts can be explicit, such as the time and the location where a blog article is written, and the…

  20. Sustainable mining management

    International Nuclear Information System (INIS)

    Tejera Oliver, J. L.

    2009-01-01

    Mining activities are carried out by the older man and have provided resources, since ancient times, for their development and progress. With the discovery of fire will show the first metals that have marked the civilizations of copper, bronze and iron, and is the prehistory of the Stone Age tools that man has made from the exploitation of quarries first. The industrial revolution of the nineteenth century is linked to coal and steel, and could not conceiver of todays society without oil and gas, without silicon and coltan. But the mines are often aggressive and, despite their need and what they contribute to the development are answered by the societies where are made. during recent years there has been growing international efforts to try to make the minimum requirements of sustainable exploitation (European Directives, GMI, GRI, etc.) In AENOR, and within the Technical Committee of Standardization 22 Mining and Explosives, chaired by AITEMIN, was established the subcommittee 3, chaired by IGME, where, with the participation of all stake holders, have developed some standards on sustainable mining management sustainable mining that will be a tool available to mining companies to demonstrate their sustainable use to Society. (Author)

  1. Transformed hairy roots of Discaria trinervis: a valuable tool for studying actinorhizal symbiosis in the context of intercellular infection.

    Science.gov (United States)

    Imanishi, Leandro; Vayssières, Alice; Franche, Claudine; Bogusz, Didier; Wall, Luis; Svistoonoff, Sergio

    2011-11-01

    Among infection mechanisms leading to root nodule symbiosis, the intercellular infection pathway is probably the most ancestral but also one of the least characterized. Intercellular infection has been described in Discaria trinervis, an actinorhizal plant belonging to the Rosales order. To decipher the molecular mechanisms underlying intercellular infection with Frankia bacteria, we set up an efficient genetic transformation protocol for D. trinervis based on Agrobacterium rhizogenes. We showed that composite plants with transgenic roots expressing green fluorescent protein can be specifically and efficiently nodulated by Frankia strain BCU110501. Nitrogen fixation rates and feedback inhibition of nodule formation by nitrogen were similar in control and composite plants. In order to challenge the transformation system, the MtEnod11 promoter, a gene from Medicago truncatula widely used as a marker for early infection-related symbiotic events in model legumes, was introduced in D. trinervis. MtEnod11::GUS expression was related to infection zones in root cortex and in the parenchyma of the developing nodule. The ability to study intercellular infection with molecular tools opens new avenues for understanding the evolution of the infection process in nitrogen-fixing root nodule symbioses.

  2. Web Mining

    Science.gov (United States)

    Fürnkranz, Johannes

    The World-Wide Web provides every internet citizen with access to an abundance of information, but it becomes increasingly difficult to identify the relevant pieces of information. Research in web mining tries to address this problem by applying techniques from data mining and machine learning to Web data and documents. This chapter provides a brief overview of web mining techniques and research areas, most notably hypertext classification, wrapper induction, recommender systems and web usage mining.

  3. Text Mining.

    Science.gov (United States)

    Trybula, Walter J.

    1999-01-01

    Reviews the state of research in text mining, focusing on newer developments. The intent is to describe the disparate investigations currently included under the term text mining and provide a cohesive structure for these efforts. A summary of research identifies key organizations responsible for pushing the development of text mining. A section…

  4. Surface mining

    Science.gov (United States)

    Robert Leopold; Bruce Rowland; Reed Stalder

    1979-01-01

    The surface mining process consists of four phases: (1) exploration; (2) development; (3) production; and (4) reclamation. A variety of surface mining methods has been developed, including strip mining, auger, area strip, open pit, dredging, and hydraulic. Sound planning and design techniques are essential to implement alternatives to meet the myriad of laws,...

  5. Uranium mining

    International Nuclear Information System (INIS)

    Lange, G.

    1975-01-01

    The winning of uranium ore is the first stage of the fuel cycle. The whole complex of questions to be considered when evaluating the profitability of an ore mine is shortly outlined, and the possible mining techniques are described. Some data on uranium mining in the western world are also given. (RB) [de

  6. Proteomics as a Tool to Identify New Targets Against Aspergillus and Scedosporium in the Context of Cystic Fibrosis.

    Science.gov (United States)

    Ramirez-Garcia, Andoni; Pellon, Aize; Buldain, Idoia; Antoran, Aitziber; Arbizu-Delgado, Aitana; Guruceaga, Xabier; Rementeria, Aitor; Hernando, Fernando L

    2018-02-01

    Cystic fibrosis (CF) is a genetic disorder that increases the risk of suffering microbial, including fungal, infections. In this paper, proteomics-based information was collated relating to secreted and cell wall proteins with potential medical applications from the most common filamentous fungi in CF, i.e., Aspergillus and Scedosporium/Lomentospora species. Among the Aspergillus fumigatus secreted allergens, β-1,3-endoglucanase, the alkaline protease 1 (Alp1/oryzin), Asp f 2, Asp f 13/15, chitinase, chitosanase, dipeptidyl-peptidase V (DppV), the metalloprotease Asp f 5, mitogillin/Asp f 1, and thioredoxin reductase receive a special mention. In addition, the antigens β-glucosidase 1, catalase, glucan endo-1,3-β-glucosidase EglC, β-1,3-glucanosyltransferases Gel1 and Gel2, and glutaminase A were also identified in secretomes of other Aspergillus species associated with CF: Aspergillus flavus, Aspergillus niger, Aspergillus nidulans, and Aspergillus terreus. Regarding cell wall proteins, cytochrome P450 and eEF-3 were proposed as diagnostic targets, and alkaline protease 2 (Alp2), Asp f 3 (putative peroxiredoxin pmp20), probable glycosidases Asp f 9/Crf1 and Crf2, GPI-anchored protein Ecm33, β-1,3-glucanosyltransferase Gel4, conidial hydrophobin Hyp1/RodA, and secreted aspartyl protease Pep2 as protective vaccines in A. fumigatus. On the other hand, for Scedosporium/Lomentospora species, the heat shock protein Hsp70 stands out as a relevant secreted and cell wall antigen. Additionally, the secreted aspartyl proteinase and an ortholog of Asp f 13, as well as the cell wall endo-1,3-β-D-glucosidase and 1,3-β-glucanosyl transferase, were also found to be significant proteins. In conclusion, proteins mentioned in this review may be promising candidates for developing innovative diagnostic and therapeutic tools for fungal infections in CF patients.

  7. Predictive ecotoxicology as a tool to access risks of radionuclides on non human biota in a multi-contamination context

    International Nuclear Information System (INIS)

    Margerit, Adrien

    2015-01-01

    obtained on the basis of the descriptive and mechanistic approaches. The present study underlines the complexity of studying mixture toxicity and identifying chemical interactions. Despite some application problems, the mechanistic approach DEBtox is particularly promising to describe the toxicity of chemical mixtures over time and to test hypothetical interaction mechanisms. In the future, the improvement of tools to analyze the combined toxicity of contaminants would allow to better address the issue of mixtures in eco-toxicological risk assessment processes. (author)

  8. Process mining: making knowledge discovery process centric

    NARCIS (Netherlands)

    Aalst, van der W.M.P.

    2011-01-01

    Recently, the Task Force on Process Mining released the Process Mining Manifesto. The manifesto is supported by 53 organizations and 77 process mining experts contributed to it. The active contributions from end-users, tool vendors, consultants, analysts, and researchers illustrate the growing

  9. Contract Mining versus Owner Mining

    African Journals Online (AJOL)

    Owner

    mining companies can concentrate on their core businesses while using specialists for ... 2 Definition of Contract and Owner. Mining ... equipment maintenance, scheduling and budgeting ..... No. Region. Amount Spent on. Contract Mining. ($ billion). Percent of. Total. 1 ... cost and productivity data based on a large range.

  10. The handbook of data mining

    CERN Document Server

    Ye, Nong

    2003-01-01

    This bk is the 1st comprehensive one to feature systematic coverage of the concepts, techniques, examples, issues, software tools and future advancements of data mining. The demand for DM apps are increasing in indus, gov, & academia.

  11. Environmental juridical aspects of the mining legislation in Colombia

    International Nuclear Information System (INIS)

    Rojas Florez, Maria Teresa

    2004-01-01

    From the international context at the regional level, the mining activity in Colombia is subject to the execution of norms of environmental character or environmental miner that define it in some way. This norma has suffered important transformations determined by the fundamental juridical changes that especially in the last ten years they have been given so much in the environmental sector as the mining sector, as well as for the jurisprudence especially of the constitutional court on these matters. These aspects were in their majority, analyzed in a combined way for the mining and environmental authorities, in the juridical forum of the environmental national system in that the proposal of the CDMB, Corantioquia and Corpouraba, it approaches this like discussion topic, likewise the technical documents that supported the expedition of the environmental guides miner, were fed by the combined work of mining and environmental authorities. These confluence points should be fundamentally disclosed and well-known inside the mining sector as of the environmental sector in order to that, not only has clear which is at the moment the environmental mining norma effective, but rather it is also had the necessary tools to give to this normative, the interpretation and appropriate application. The different implications that it introduced the law 685 of 2001 in environmental matter, will be analyzed by the light of the jurisprudence and the new norms settled down in environmental matter, such as the Sentences C-431 2000, C-336 2000, C-339 2002 and the Ordinances 2390 of 2002, 2653 of 2003, 1180 of 2003, among other, especially in connection with topics as the contents in the Chapter III of the Law 685 of 2001 reserved, excluded and restricted areas, the topic of the environmental licenses and that of the legalization of the mining in fact, making a priori in this analysis an evaluation from the point of view of the environmental authority in connection with the efficiency and

  12. Data mining mobile devices

    CERN Document Server

    Mena, Jesus

    2013-01-01

    With today's consumers spending more time on their mobiles than on their PCs, new methods of empirical stochastic modeling have emerged that can provide marketers with detailed information about the products, content, and services their customers desire.Data Mining Mobile Devices defines the collection of machine-sensed environmental data pertaining to human social behavior. It explains how the integration of data mining and machine learning can enable the modeling of conversation context, proximity sensing, and geospatial location throughout large communities of mobile users

  13. Analysis of Occupational Accidents in Underground and Surface Mining in Spain Using Data-Mining Techniques

    Directory of Open Access Journals (Sweden)

    Lluís Sanmiquel

    2018-03-01

    Full Text Available An analysis of occupational accidents in the mining sector was conducted using the data from the Spanish Ministry of Employment and Social Safety between 2005 and 2015, and data-mining techniques were applied. Data was processed with the software Weka. Two scenarios were chosen from the accidents database: surface and underground mining. The most important variables involved in occupational accidents and their association rules were determined. These rules are composed of several predictor variables that cause accidents, defining its characteristics and context. This study exposes the 20 most important association rules in the sector—either surface or underground mining—based on the statistical confidence levels of each rule as obtained by Weka. The outcomes display the most typical immediate causes, along with the percentage of accidents with a basis in each association rule. The most important immediate cause is body movement with physical effort or overexertion, and the type of accident is physical effort or overexertion. On the other hand, the second most important immediate cause and type of accident are different between the two scenarios. Data-mining techniques were chosen as a useful tool to find out the root cause of the accidents.

  14. Analysis of Occupational Accidents in Underground and Surface Mining in Spain Using Data-Mining Techniques

    Science.gov (United States)

    Sanmiquel, Lluís; Bascompta, Marc; Rossell, Josep M.; Anticoi, Hernán Francisco; Guash, Eduard

    2018-01-01

    An analysis of occupational accidents in the mining sector was conducted using the data from the Spanish Ministry of Employment and Social Safety between 2005 and 2015, and data-mining techniques were applied. Data was processed with the software Weka. Two scenarios were chosen from the accidents database: surface and underground mining. The most important variables involved in occupational accidents and their association rules were determined. These rules are composed of several predictor variables that cause accidents, defining its characteristics and context. This study exposes the 20 most important association rules in the sector—either surface or underground mining—based on the statistical confidence levels of each rule as obtained by Weka. The outcomes display the most typical immediate causes, along with the percentage of accidents with a basis in each association rule. The most important immediate cause is body movement with physical effort or overexertion, and the type of accident is physical effort or overexertion. On the other hand, the second most important immediate cause and type of accident are different between the two scenarios. Data-mining techniques were chosen as a useful tool to find out the root cause of the accidents. PMID:29518921

  15. Evaluating Water Management Practice for Sustainable Mining

    OpenAIRE

    Xiangfeng Zhang; Lei Gao; Damian Barrett; Yun Chen

    2014-01-01

    To move towards sustainable development, the mining industry needs to identify better mine water management practices for reducing raw water use, increasing water use efficiency, and eliminating environmental impacts in a precondition of securing mining production. However, the selection of optimal mine water management practices is technically challenging due to the lack of scientific tools to comprehensively evaluate management options against a set of conflicting criteria. This work has pr...

  16. WEB STRUCTURE MINING

    Directory of Open Access Journals (Sweden)

    CLAUDIA ELENA DINUCĂ

    2011-01-01

    Full Text Available The World Wide Web became one of the most valuable resources for information retrievals and knowledge discoveries due to the permanent increasing of the amount of data available online. Taking into consideration the web dimension, the users get easily lost in the web’s rich hyper structure. Application of data mining methods is the right solution for knowledge discovery on the Web. The knowledge extracted from the Web can be used to raise the performances for Web information retrievals, question answering and Web based data warehousing. In this paper, I provide an introduction of Web mining categories and I focus on one of these categories: the Web structure mining. Web structure mining, one of three categories of web mining for data, is a tool used to identify the relationship between Web pages linked by information or direct link connection. It offers information about how different pages are linked together to form this huge web. Web Structure Mining finds hidden basic structures and uses hyperlinks for more web applications such as web search.

  17. Development of tools for managing the impacts on surface due to changing hydrological regimes surrounding closed underground coal mines (ECSC Coal RTD programme, contract 7220-PR-136)

    International Nuclear Information System (INIS)

    Veschkens, M.; Unland, W.; Kories, H.

    2005-01-01

    This paper demonstrates how box model approach and FE and box mixed model approach allow to better understand and model water flows in complex mined coal measures and interactions between shallow aquifers and flooded coal measures. Benefits of these approaches are illustrated on the basis of case studies in Liege and Ruhr coal basins. (authors)

  18. AHCODA-DB : a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data

    NARCIS (Netherlands)

    Koopmans, Bastijn; Smit, August B; Verhage, Matthijs; Loos, Maarten

    2017-01-01

    BACKGROUND: Systematic, standardized and in-depth phenotyping and data analyses of rodent behaviour empowers gene-function studies, drug testing and therapy design. However, no data repositories are currently available for standardized quality control, data analysis and mining at the resolution of

  19. Development of tools for managing the impacts on surface due to changing hydrological regimes surrounding closed underground coal mines (ECSC Coal RTD programme, contract 7220-PR-136)

    Energy Technology Data Exchange (ETDEWEB)

    Veschkens, M. [ISSeP, Liege (Belgium); Unland, W.; Kories, H. [DMT, Am Technologiepark, Essen (Germany)

    2005-07-01

    This paper demonstrates how box model approach and FE and box mixed model approach allow to better understand and model water flows in complex mined coal measures and interactions between shallow aquifers and flooded coal measures. Benefits of these approaches are illustrated on the basis of case studies in Liege and Ruhr coal basins. (authors)

  20. Quantification of Operational Risk Using A Data Mining

    Science.gov (United States)

    Perera, J. Sebastian

    1999-01-01

    What is Data Mining? - Data Mining is the process of finding actionable information hidden in raw data. - Data Mining helps find hidden patterns, trends, and important relationships often buried in a sea of data - Typically, automated software tools based on advanced statistical analysis and data modeling technology can be utilized to automate the data mining process

  1. A top-down / bottom-up approach for multi-actors and multi-criteria assessment of mining projects for sustainable development. Application on Arlit Uranium mines (Niger)

    International Nuclear Information System (INIS)

    Chamaret, A.

    2007-06-01

    This thesis aims to appraise the relevance of using an hybrid top-down / bottom-up approach to evaluate mining projects in the perspective of sustainable development. With the advent of corporate social responsibility and sustainable development concepts, new social expectations have appeared towards companies that go beyond a sole requirement of profit earning capacity. If companies do not answer to these expectations, they risk to lose their social legitimacy. Traditionally associated with social, environmental, economical and political impacts and risks, mining activity is particularly concerned by these new issues. Whereas mineral resources needs have never been so high, mining companies are now expected to limit their negative effects and to take into account their different audiences' expectations in order to define, together, the terms of their social license to operate. Considering the diversity of issues, scales, actors and contexts, the challenge is real and necessitates tools to better understand issues and to structure dialogues. Based on the Uranium mines of Arlit (Niger) case study, this work shows that associating participatory approaches to structuration tools and literature propositions, appears as an efficient formula to better organize issues diversity and to build a structured dialogue between mining companies and their stakeholders. First Part aims to present the theoretical, institutional and sectorial contexts of the thesis. Second Part exposes work and results of the evaluation carried out in Niger. And, Third Part, shows the conclusions that can be derived from this work and presents a proposal for an evaluation framework, potentially applicable to other mining sites. (author)

  2. Data mining for dummies

    CERN Document Server

    Brown, Meta S

    2014-01-01

    Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business''s entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn''t take a data scientist to gain

  3. Factor Structure, Reliability and Measurement Invariance of the Alberta Context Tool and the Conceptual Research Utilization Scale, for German Residential Long Term Care

    Science.gov (United States)

    Hoben, Matthias; Estabrooks, Carole A.; Squires, Janet E.; Behrens, Johann

    2016-01-01

    We translated the Canadian residential long term care versions of the Alberta Context Tool (ACT) and the Conceptual Research Utilization (CRU) Scale into German, to study the association between organizational context factors and research utilization in German nursing homes. The rigorous translation process was based on best practice guidelines for tool translation, and we previously published methods and results of this process in two papers. Both instruments are self-report questionnaires used with care providers working in nursing homes. The aim of this study was to assess the factor structure, reliability, and measurement invariance (MI) between care provider groups responding to these instruments. In a stratified random sample of 38 nursing homes in one German region (Metropolregion Rhein-Neckar), we collected questionnaires from 273 care aides, 196 regulated nurses, 152 allied health providers, 6 quality improvement specialists, 129 clinical leaders, and 65 nursing students. The factor structure was assessed using confirmatory factor models. The first model included all 10 ACT concepts. We also decided a priori to run two separate models for the scale-based and the count-based ACT concepts as suggested by the instrument developers. The fourth model included the five CRU Scale items. Reliability scores were calculated based on the parameters of the best-fitting factor models. Multiple-group confirmatory factor models were used to assess MI between provider groups. Rather than the hypothesized ten-factor structure of the ACT, confirmatory factor models suggested 13 factors. The one-factor solution of the CRU Scale was confirmed. The reliability was acceptable (>0.7 in the entire sample and in all provider groups) for 10 of 13 ACT concepts, and high (0.90–0.96) for the CRU Scale. We could demonstrate partial strong MI for both ACT models and partial strict MI for the CRU Scale. Our results suggest that the scores of the German ACT and the CRU Scale for nursing

  4. Cleaning up our mining act: A north-south dialogue

    International Nuclear Information System (INIS)

    Labonne, B.

    2000-01-01

    This presentation provides an overview of historic development and economic reality of mining at large with focus on environmental and social impacts. It shows the place mining can take in sustainable development context; the mining cycle and its effects on ecosystems; the specific aspects of mining activities in developing countries. The presentation also provides some recommendations on sound management of natural resources to address the socio-economic and environmental concerns frequently raised by mining activities

  5. Real world data mining applications

    CERN Document Server

    Abou-Nasr, Mahmoud; Stahlbock, Robert; Weiss, Gary M

    2014-01-01

    Data mining applications range from commercial to social domains, with novel applications appearing swiftly; for example, within the context of social networks. The expanding application sphere and social reach of advanced data mining raise pertinent issues of privacy and security. Present-day data mining is a progressive multidisciplinary endeavor. This inter- and multidisciplinary approach is well reflected within the field of information systems. The information systems research addresses software and hardware requirements for supporting computationally and data-intensive applications. Furthermore, it encompasses analyzing system and data aspects, and all manual or automated activities. In that respect, research at the interface of information systems and data mining has significant potential to produce actionable knowledge vital for corporate decision-making. The aim of the proposed volume is to provide a balanced treatment of the latest advances and developments in data mining; in particular, exploring s...

  6. Mine Water Treatment in Hongai Coal Mines

    OpenAIRE

    Dang Phuong Thao; Dang Vu Chi

    2018-01-01

    Acid mine drainage (AMD) is recognized as one of the most serious environmental problem associated with mining industry. Acid water, also known as acid mine drainage forms when iron sulfide minerals found in the rock of coal seams are exposed to oxidizing conditions in coal mining. Until 2009, mine drainage in Hongai coal mines was not treated, leading to harmful effects on humans, animals and aquatic ecosystem. This report has examined acid mine drainage problem and techniques for acid mine ...

  7. Numerical modelling of mine workings.

    CSIR Research Space (South Africa)

    Lightfoot, N

    1999-03-01

    Full Text Available to cover most of what is required for a practising rock mechanics engineer to be able to use any of these five programs to solve practical mining problems. The chapters on specific programs discuss their individual strengths and weaknesses and highlight... and applications of numerical modelling in the context of the South African gold and platinum mining industries. This includes an example that utilises a number of different numerical 3 modelling programs to solve a single problem. This particular example...

  8. Applied data mining for business and industry

    CERN Document Server

    Giudici, Paolo

    2009-01-01

    The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications. Introduces data mining methods and applications.Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods.Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining.Features detailed case studies based on applied projects within industry.Incorporates discussion of data mining software, with case studies a...

  9. Extending mine life

    International Nuclear Information System (INIS)

    Anon.

    1984-01-01

    Mine layouts, new machines and techniques, research into problem areas of ground control and so on, are highlighted in this report on extending mine life. The main resources taken into account are coal mining, uranium mining, molybdenum and gold mining

  10. IndexMed projects: new tools using the CIGESMED DataBase on Coralligenous for indexing, visualizing and data mining based on graphs

    OpenAIRE

    David , Romain; FERAL , Jean-Pierre; Archambeau , Anne; Bailly , Nicolas; Blanpain , Cyrille; Breton , Vincent; De Jode , Aurélie; Delavaud , Aurélie; Dias , Alrick; Gachet , Sophie; Guillemain , Dorian; Lecubin , Julien; Romier , Geneviève; Surace , Christian; Thierry De Ville D 'avray , Laure

    2016-01-01

    International audience; Data produced by the CIGESMED project (Coralligenous based Indicators to evaluate and monitor the "Good Environmental Status" of the MEDiterranean coastal waters) have a high potential for use by several stakeholders involved in environmental management. A new consortium called IndexMed whose task is to index Mediterranean biodiversity data, makes it possible to build graphs in order to analyse the CIGESMED data and develop new ways for data mining of coralligenous dat...

  11. Uranium mining

    International Nuclear Information System (INIS)

    2008-01-01

    Full text: The economic and environmental sustainability of uranium mining has been analysed by Monash University researcher Dr Gavin Mudd in a paper that challenges the perception that uranium mining is an 'infinite quality source' that provides solutions to the world's demand for energy. Dr Mudd says information on the uranium industry touted by politicians and mining companies is not necessarily inaccurate, but it does not tell the whole story, being often just an average snapshot of the costs of uranium mining today without reflecting the escalating costs associated with the process in years to come. 'From a sustainability perspective, it is critical to evaluate accurately the true lifecycle costs of all forms of electricity production, especially with respect to greenhouse emissions, ' he says. 'For nuclear power, a significant proportion of greenhouse emissions are derived from the fuel supply, including uranium mining, milling, enrichment and fuel manufacture.' Dr Mudd found that financial and environmental costs escalate dramatically as the uranium ore is used. The deeper the mining process required to extract the ore, the higher the cost for mining companies, the greater the impact on the environment and the more resources needed to obtain the product. I t is clear that there is a strong sensitivity of energy and water consumption and greenhouse emissions to ore grade, and that ore grades are likely to continue to decline gradually in the medium to long term. These issues are critical to the current debate over nuclear power and greenhouse emissions, especially with respect to ascribing sustainability to such activities as uranium mining and milling. For example, mining at Roxby Downs is responsible for the emission of over one million tonnes of greenhouse gases per year and this could increase to four million tonnes if the mine is expanded.'

  12. Protocol for development and validation of a context-appropriate tool for assessing organisational readiness for change in primary health clinics in South Africa.

    Science.gov (United States)

    Brooke-Sumner, Carrie; Sorsdahl, Katherine; Lombard, Carl; Petersen-Williams, Petal; Myers, Bronwyn

    2018-04-09

    A large treatment gap for common mental disorders (such as depression) exists in South Africa. Comorbidity with other chronic diseases, including HIV and diseases of lifestyle, is an increasing public health concern globally. Currently, primary health facilities as points of care for those with chronic disease provide limited services for common mental disorders. Assessing organisational readiness for change (ORC) towards adopting health innovations (such as mental health services) using contextually appropriate measures is needed to facilitate implementation of these services. This study aims to investigate the validity of the Texas Christian University Organisational Readiness for Change (TCU-ORC) scale in the South African context. Subsequently, we will develop a shortened version of this scale. This study is nested within Project MIND, a multiyear randomised controlled trial that is testing two different approaches for integrating counselling for common mental disorders into chronic disease care. Although the modified, contextually appropriate ORC measure resulting from the proposed study will be developed in the context of integrating mental health into primary healthcare services, the potential for the tool to be generalised to further understanding barriers to any change being implemented in primary care settings is high. We will establish internal consistency (Cronbach's alpha coefficients), test-retest reliability (intraclass correlation coefficient) and construct validity of the long-form TCU-ORC questionnaire. Survey data will be collected from 288 clinical, management and operational staff from 24 primary health facilities where the Project MIND trial is implemented. A modified Delphi approach will assess the content validity of the TCU-ORC items and identify areas for potential adaptation and item reduction. Ethical approval has been granted by the South African Medical Research Council (Protocol ID EC004-2-2015, amendment of 20 August 2017). Results

  13. Translating global recommendations on HIV and infant feeding to the local context: the development of culturally sensitive counselling tools in the Kilimanjaro Region, Tanzania

    Directory of Open Access Journals (Sweden)

    Åstrøm Anne N

    2006-10-01

    Full Text Available Abstract Background This paper describes the process used to develop an integrated set of culturally sensitive, evidence-based counselling tools (job aids by using qualitative participatory research. The aim of the intervention was to contribute to improving infant feeding counselling services for HIV positive women in the Kilimanjaro Region of Tanzania. Methods Formative research using a combination of qualitative methods preceded the development of the intervention and mapped existing practices, perceptions and attitudes towards HIV and infant feeding (HIV/IF among mothers, counsellors and community members. Intervention Mapping (IM protocol guided the development of the overall intervention strategy. Theories of behaviour change, a review of the international HIV/IF guidelines and formative research findings contributed to the definition of performance and learning objectives. Key communication messages and colourful graphic illustrations related to infant feeding in the context of HIV were then developed and/or adapted from existing generic materials. Draft materials were field tested with intended audiences and subjected to stakeholder technical review. Results An integrated set of infant feeding counselling tools, referred to as 'job aids', was developed and included brochures on feeding methods that were found to be socially and culturally acceptable, a Question and Answer Guide for counsellors, a counselling card on the risk of transmission of HIV, and an infant feeding toolbox for demonstration. Each brochure describes the steps to ensure safer infant feeding using simple language and images based on local ideas and resources. The brochures are meant to serve as both a reference material during infant feeding counselling in the ongoing prevention of mother to child transmission (pMTCT of HIV programme and as take home material for the mother. Conclusion The study underscores the importance of formative research and a systematic theory

  14. Social big data mining

    CERN Document Server

    Ishikawa, Hiroshi

    2015-01-01

    Social Media. Big Data and Social Data. Hypotheses in the Era of Big Data. Social Big Data Applications. Basic Concepts in Data Mining. Association Rule Mining. Clustering. Classification. Prediction. Web Structure Mining. Web Content Mining. Web Access Log Mining, Information Extraction and Deep Web Mining. Media Mining. Scalability and Outlier Detection.

  15. Process mining : data science in action

    NARCIS (Netherlands)

    Van der Aalst, W.M.P.

    2016-01-01

    This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a

  16. a New Generation Mining Head with Disc Tool of Complex Trajectory / GŁOWICA URABIAJĄCA Nowej Generacji Z NARZĘDZIAMI Dyskowymi O ZŁOŻONEJ Trajektorii

    Science.gov (United States)

    Gospodarczyk, Piotr; Kotwica, Krzysztof; Stopka, Grzegorz

    2013-12-01

    In Polish underground mining plenty of dog headings are drilled with mechanical methods with the use of arm roadheaders equipped with milling units. Cutting tools applied on the units - rotary tangent bits in unfavourable mining and geological conditions or improper work conditions are affected by an accelerated wear process. It influences the speed and costs of drilling such excavations. The article presents a new and innovative solution of a mining head with asymmetric disc tools of complex trajectory elaborated at the Department of Mining, Dressing and Transport Machines, AGH University of Science and Technology, Krakow as an alternative for standard milling units. Advantages of the applied mining method using so called back incision were described as well as principles of construction and work of the suggested solution of the head. In order to work out a construction of the head prototype it was necessary to determine principles and guidelines based on laboratory tests. A construction of a specially prepared laboratory stand for examination of disc tools of complex trajectory, planned research methodology, course of tests and obtained results were presented. An analysis of the results allowed determining the above listed principles and guidelines for a construction of a prototype head. They were the base to work out, with cooperation of the REMAG Ltd Company in Katowice, a technical project of a new head solution, adapted for mounting on the arm of a medium arm roadheader KR 150. A constructed head underwent tests on a research stand on the REMAG testing area and received positive preliminary tests results. W polskim górnictwie podziemnym bardzo duża liczba wyrobisk korytarzowych drążona jest metodami mechanicznymi z wykorzystaniem ramionowych kombajnów chodnikowych, wyposażonych w organy frezujące. Stosowane na tych organach narzędzia skrawające - noże styczno-obrotowe, w niekorzystnych warunkach górniczo-geologicznych lub przy nieprawid

  17. Mine Water Treatment in Hongai Coal Mines

    Science.gov (United States)

    Dang, Phuong Thao; Dang, Vu Chi

    2018-03-01

    Acid mine drainage (AMD) is recognized as one of the most serious environmental problem associated with mining industry. Acid water, also known as acid mine drainage forms when iron sulfide minerals found in the rock of coal seams are exposed to oxidizing conditions in coal mining. Until 2009, mine drainage in Hongai coal mines was not treated, leading to harmful effects on humans, animals and aquatic ecosystem. This report has examined acid mine drainage problem and techniques for acid mine drainage treatment in Hongai coal mines. In addition, selection and criteria for the design of the treatment systems have been presented.

  18. Mine Water Treatment in Hongai Coal Mines

    Directory of Open Access Journals (Sweden)

    Dang Phuong Thao

    2018-01-01

    Full Text Available Acid mine drainage (AMD is recognized as one of the most serious environmental problem associated with mining industry. Acid water, also known as acid mine drainage forms when iron sulfide minerals found in the rock of coal seams are exposed to oxidizing conditions in coal mining. Until 2009, mine drainage in Hongai coal mines was not treated, leading to harmful effects on humans, animals and aquatic ecosystem. This report has examined acid mine drainage problem and techniques for acid mine drainage treatment in Hongai coal mines. In addition, selection and criteria for the design of the treatment systems have been presented.

  19. Generative Contexts

    Science.gov (United States)

    Lyles, Dan Allen

    Educational research has identified how science, technology, engineering, and mathematics (STEM) practice and education have underperforming metrics in racial and gender diversity, despite decades of intervention. These disparities are part of the construction of a culture of science that is alienating to these populations. Recent studies in a social science framework described as "Generative Justice" have suggested that the context of social and scientific practice might be modified to bring about more just and equitable relations among the disenfranchised by circulating the value they and their non-human allies create back to them in unalienated forms. What is not known are the underlying principles of social and material space that makes a system more or less generative. I employ an autoethnographic method at four sites: a high school science class; a farm committed to "Black and Brown liberation"; a summer program geared towards youth environmental mapping; and a summer workshop for Harlem middle school students. My findings suggest that by identifying instances where material affinity, participatory voice, and creative solidarity are mutually reinforcing, it is possible to create educational contexts that generate unalienated value, and circulate it back to the producers themselves. This cycle of generation may help explain how to create systems of justice that strengthen and grow themselves through successive iterations. The problem of lack of diversity in STEM may be addressed not merely by recruiting the best and the brightest from underrepresented populations, but by changing the context of STEM education to provide tools for its own systematic restructuring.

  20. Application of 3D Electrical Resistivity Tomography As A Tool for Mapping Subsurface Cavities in a Kaolin Mining Site at Kankara in North Central Nigeria.

    Science.gov (United States)

    Eshimiakhe, D.; Jimoh, R.

    2017-12-01

    A Kaolin mining site at Dajin Gwanma in north central Nigeria was investigated to determine the possibility of using 3D ERT to detect subsurface voids created due to mining of kaolin deposit and to perhaps suggest areas prone to subsidence. This study was undertaken on conceptual resistivity model that subsurface voids characterized by higher or lower resistivity than the host, depending on weather the void is in-filled water or not. The data collection was carried out with Terrameter SAS 4000 and ES 464 electrode selector equipment. Dipole-dipole configuration at electrode spacing of 5m was used to acquire the data along parallel profiles laid at equal interval in the study area. While the acquired data along each profile were inverted with 2D algorithm, a script file was created to collate the 2D data set into a 3D format and subsequently inverted using 3D algorithm. A volumetric resistivity model block of the study area was also created using the voxler 4 software. The results show that the voids are characterized by high resistivity (950Ωm-2500Ωm) at depth of between 0-4m and low resistivity (10Ωm-100Ωm) at a depth of 5-30m indicating both air-filled and water-filled voids respectively. The study shows that the voids increase in dimension with depth in NW-SE direction, suggesting that the voids are trending most probably along vertical bedrock joints. It also suggest that voids may overtime grow large enough that the overlying top soil can no longer bridge it, leading to its collapse.

  1. A top-down / bottom-up approach for multi-actors and multi-criteria assessment of mining projects for sustainable development. Application on Arlit Uranium mines (Niger); Une demarche Top-Down / Bottom-Up pour l'evaluation en termes multicriteres et multi-acteurs des projets miniers dans l'optique du developpement durable. Application sur les mines d'Uranium d'Arlit (Niger)

    Energy Technology Data Exchange (ETDEWEB)

    Chamaret, A

    2007-06-15

    This thesis aims to appraise the relevance of using an hybrid top-down / bottom-up approach to evaluate mining projects in the perspective of sustainable development. With the advent of corporate social responsibility and sustainable development concepts, new social expectations have appeared towards companies that go beyond a sole requirement of profit earning capacity. If companies do not answer to these expectations, they risk to lose their social legitimacy. Traditionally associated with social, environmental, economical and political impacts and risks, mining activity is particularly concerned by these new issues. Whereas mineral resources needs have never been so high, mining companies are now expected to limit their negative effects and to take into account their different audiences' expectations in order to define, together, the terms of their social license to operate. Considering the diversity of issues, scales, actors and contexts, the challenge is real and necessitates tools to better understand issues and to structure dialogues. Based on the Uranium mines of Arlit (Niger) case study, this work shows that associating participatory approaches to structuration tools and literature propositions, appears as an efficient formula to better organize issues diversity and to build a structured dialogue between mining companies and their stakeholders. First Part aims to present the theoretical, institutional and sectorial contexts of the thesis. Second Part exposes work and results of the evaluation carried out in Niger. And, Third Part, shows the conclusions that can be derived from this work and presents a proposal for an evaluation framework, potentially applicable to other mining sites. (author)

  2. Coastal mining

    Science.gov (United States)

    Bell, Peter M.

    The Exclusive Economic Zone (EEZ) declared by President Reagan in March 1983 has met with a mixed response from those who would benefit from a guaranteed, 200-nautical-mile (370-km) protected underwater mining zone off the coasts of the United States and its possessions. On the one hand, the U.S. Department of the Interior is looking ahead and has been very successful in safeguarding important natural resources that will be needed in the coming decades. On the other hand, the mining industry is faced with a depressed metals and mining market.A report of the Exclusive Economic Zone Symposium held in November 1983 by the U.S. Geological Survey, the Mineral Management Service, and the Bureau of Mines described the mixed response as: “ … The Department of Interior … raring to go into promotion of deep-seal mining but industrial consortia being very pessimistic about the program, at least for the next 30 or so years.” (Chemical & Engineering News, February 5, 1983).

  3. Mining Web-based Educational Systems to Predict Student Learning Achievements

    Directory of Open Access Journals (Sweden)

    José del Campo-Ávila

    2015-03-01

    Full Text Available Educational Data Mining (EDM is getting great importance as a new interdisciplinary research field related to some other areas. It is directly connected with Web-based Educational Systems (WBES and Data Mining (DM, a fundamental part of Knowledge Discovery in Databases. The former defines the context: WBES store and manage huge amounts of data. Such data are increasingly growing and they contain hidden knowledge that could be very useful to the users (both teachers and students. It is desirable to identify such knowledge in the form of models, patterns or any other representation schema that allows a better exploitation of the system. The latter reveals itself as the tool to achieve such discovering. Data mining must afford very complex and different situations to reach quality solutions. Therefore, data mining is a research field where many advances are being done to accommodate and solve emerging problems. For this purpose, many techniques are usually considered. In this paper we study how data mining can be used to induce student models from the data acquired by a specific Web-based tool for adaptive testing, called SIETTE. Concretely we have used top down induction decision trees algorithms to extract the patterns because these models, decision trees, are easily understandable. In addition, the conducted validation processes have assured high quality models.

  4. Surface Mines, Other - Longwall Mining Panels

    Data.gov (United States)

    NSGIC Education | GIS Inventory — Coal mining has occurred in Pennsylvania for over a century. A method of coal mining known as Longwall Mining has become more prevalent in recent decades. Longwall...

  5. Process mining

    DEFF Research Database (Denmark)

    van der Aalst, W.M.P.; Rubin, V.; Verbeek, H.M.W.

    2010-01-01

    Process mining includes the automated discovery of processes from event logs. Based on observed events (e.g., activities being executed or messages being exchanged) a process model is constructed. One of the essential problems in process mining is that one cannot assume to have seen all possible...... behavior. At best, one has seen a representative subset. Therefore, classical synthesis techniques are not suitable as they aim at finding a model that is able to exactly reproduce the log. Existing process mining techniques try to avoid such “overfitting” by generalizing the model to allow for more...... support for it). None of the existing techniques enables the user to control the balance between “overfitting” and “underfitting”. To address this, we propose a two-step approach. First, using a configurable approach, a transition system is constructed. Then, using the “theory of regions”, the model...

  6. Data Mining Solutions for the Business Environment

    Directory of Open Access Journals (Sweden)

    Ruxandra-Stefania PETRE

    2014-02-01

    Full Text Available Over the past years, data mining became a matter of considerable importance due to the large amounts of data available in the applications belonging to various domains. Data mining, a dynamic and fast-expanding field, that applies advanced data analysis techniques, from statistics, machine learning, database systems or artificial intelligence, in order to discover relevant patterns, trends and relations contained within the data, information impossible to observe using other techniques. The paper focuses on presenting the applications of data mining in the business environment. It contains a general overview of data mining, providing a definition of the concept, enumerating six primary data mining techniques and mentioning the main fields for which data mining can be applied. The paper also presents the main business areas which can benefit from the use of data mining tools, along with their use cases: retail, banking and insurance. Also the main commercially available data mining tools and their key features are presented within the paper. Besides the analysis of data mining and the business areas that can successfully apply it, the paper presents the main features of a data mining solution that can be applied for the business environment and the architecture, with its main components, for the solution, that would help improve customer experiences and decision-making

  7. Data mining

    CERN Document Server

    Gorunescu, Florin

    2011-01-01

    The knowledge discovery process is as old as Homo sapiens. Until some time ago, this process was solely based on the 'natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since 'knowledge is power'. The goal of this book is to provide, in a friendly way

  8. Mining wastes

    International Nuclear Information System (INIS)

    Pradel, J.

    1981-01-01

    In this article mining wastes means wastes obtained during extraction and processing of uranium ores including production of uraniferous concentrates. The hazards for the population are irradiation, ingestion, dust or radon inhalation. The different wastes produced are reviewed. Management of liquid effluents, water treatment, contamined materials, gaseous wastes and tailings are examined. Environmental impact of wastes during and after exploitation is discussed. Monitoring and measurements are made to verify that ICRP recommendations are met. Studies in progress to improve mining waste management are given [fr

  9. Data preprocessing in data mining

    CERN Document Server

    García, Salvador; Herrera, Francisco

    2015-01-01

    Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data. This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying t...

  10. Genomics Portals: integrative web-platform for mining genomics data.

    Science.gov (United States)

    Shinde, Kaustubh; Phatak, Mukta; Johannes, Freudenberg M; Chen, Jing; Li, Qian; Vineet, Joshi K; Hu, Zhen; Ghosh, Krishnendu; Meller, Jaroslaw; Medvedovic, Mario

    2010-01-13

    A large amount of experimental data generated by modern high-throughput technologies is available through various public repositories. Our knowledge about molecular interaction networks, functional biological pathways and transcriptional regulatory modules is rapidly expanding, and is being organized in lists of functionally related genes. Jointly, these two sources of information hold a tremendous potential for gaining new insights into functioning of living systems. Genomics Portals platform integrates access to an extensive knowledge base and a large database of human, mouse, and rat genomics data with basic analytical visualization tools. It provides the context for analyzing and interpreting new experimental data and the tool for effective mining of a large number of publicly available genomics datasets stored in the back-end databases. The uniqueness of this platform lies in the volume and the diversity of genomics data that can be accessed and analyzed (gene expression, ChIP-chip, ChIP-seq, epigenomics, computationally predicted binding sites, etc), and the integration with an extensive knowledge base that can be used in such analysis. The integrated access to primary genomics data, functional knowledge and analytical tools makes Genomics Portals platform a unique tool for interpreting results of new genomics experiments and for mining the vast amount of data stored in the Genomics Portals backend databases. Genomics Portals can be accessed and used freely at http://GenomicsPortals.org.

  11. Genomics Portals: integrative web-platform for mining genomics data

    Directory of Open Access Journals (Sweden)

    Ghosh Krishnendu

    2010-01-01

    Full Text Available Abstract Background A large amount of experimental data generated by modern high-throughput technologies is available through various public repositories. Our knowledge about molecular interaction networks, functional biological pathways and transcriptional regulatory modules is rapidly expanding, and is being organized in lists of functionally related genes. Jointly, these two sources of information hold a tremendous potential for gaining new insights into functioning of living systems. Results Genomics Portals platform integrates access to an extensive knowledge base and a large database of human, mouse, and rat genomics data with basic analytical visualization tools. It provides the context for analyzing and interpreting new experimental data and the tool for effective mining of a large number of publicly available genomics datasets stored in the back-end databases. The uniqueness of this platform lies in the volume and the diversity of genomics data that can be accessed and analyzed (gene expression, ChIP-chip, ChIP-seq, epigenomics, computationally predicted binding sites, etc, and the integration with an extensive knowledge base that can be used in such analysis. Conclusion The integrated access to primary genomics data, functional knowledge and analytical tools makes Genomics Portals platform a unique tool for interpreting results of new genomics experiments and for mining the vast amount of data stored in the Genomics Portals backend databases. Genomics Portals can be accessed and used freely at http://GenomicsPortals.org.

  12. Evaluation of a web based informatics system with data mining tools for predicting outcomes with quantitative imaging features in stroke rehabilitation clinical trials

    Science.gov (United States)

    Wang, Ximing; Kim, Bokkyu; Park, Ji Hoon; Wang, Erik; Forsyth, Sydney; Lim, Cody; Ravi, Ragini; Karibyan, Sarkis; Sanchez, Alexander; Liu, Brent

    2017-03-01

    Quantitative imaging biomarkers are used widely in clinical trials for tracking and evaluation of medical interventions. Previously, we have presented a web based informatics system utilizing quantitative imaging features for predicting outcomes in stroke rehabilitation clinical trials. The system integrates imaging features extraction tools and a web-based statistical analysis tool. The tools include a generalized linear mixed model(GLMM) that can investigate potential significance and correlation based on features extracted from clinical data and quantitative biomarkers. The imaging features extraction tools allow the user to collect imaging features and the GLMM module allows the user to select clinical data and imaging features such as stroke lesion characteristics from the database as regressors and regressands. This paper discusses the application scenario and evaluation results of the system in a stroke rehabilitation clinical trial. The system was utilized to manage clinical data and extract imaging biomarkers including stroke lesion volume, location and ventricle/brain ratio. The GLMM module was validated and the efficiency of data analysis was also evaluated.

  13. Gas Migration Project: Risk Assessment Tool and Computational Analyses to Investigate Wellbore/Mine Interactions, Secretary's Potash Area, Southeastern New Mexico

    Energy Technology Data Exchange (ETDEWEB)

    Sobolik, Steven R. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Geomechanics Dept.; Hadgu, Teklu [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Nuclear Waste Disposal Research and Analysis Dept.; Rechard, Robert P. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Nuclear Waste Disposal Research and Analysis Dept.

    2016-05-01

    The Bureau of Land Management (BLM), US Department of the Interior has asked Sandia National Laboratories (SNL) to perform scientific studies relevant to technical issues that arise in the development of co-located resources of potash and petroleum in southeastern New Mexico in the Secretary’s Potash Area. The BLM manages resource development, issues permits and interacts with the State of New Mexico in the process of developing regulations, in an environment where many issues are disputed by industry stakeholders. The present report is a deliverable of the study of the potential for gas migration from a wellbore to a mine opening in the event of wellbore leakage, a risk scenario about which there is disagreement among stakeholders and little previous site specific analysis. One goal of this study was to develop a framework that required collaboratively developed inputs and analytical approaches in order to encourage stakeholder participation and to employ ranges of data values and scenarios. SNL presents here a description of a basic risk assessment (RA) framework that will fulfill the initial steps of meeting that goal. SNL used the gas migration problem to set up example conceptual models, parameter sets and computer models and as a foundation for future development of RA to support BLM resource development.

  14. Networking as a tool to improve education and training in environmental remediation of uranium mining and processing sites – the role of the ENVIRONET/CONNECT

    International Nuclear Information System (INIS)

    Monken-Fernandes, H.; Santos Junger, A.; Fan, Z.

    2014-01-01

    The operation of uranium mining and processing facilities in the past gave rise, in several cases, to sites that now are in need of extensive environmental remediation. They were originated because these operations were not developed under appropriate regulatory control. Some countries have been successful in achieving good progress and results with the remediation of these sites. In some other countries however, remediation works move at a slow pace or are virtually stagnant. The IAEA has a vision that its Member States (MS) will eventually have in place a proper infrastructure and technologies for managing these and other legacies and resolve all related issues in a timely, safe and cost-effective manner. Experience has shown that with appropriate planning and assistance (including financial support) remedial actions are more likely to be implemented. As such the interaction of inexperienced with experienced countries facilitated by the IAEA may lead to better conditions for real implementation of projects and sharing of lessons learned. Countries may be inspired to reproduce (after necessary adaptation to local conditions and constraints) the experience gained by others.

  15. Rare earth elements as a tool for studying the formation of cemented layers in an area affected by acid mine drainage

    International Nuclear Information System (INIS)

    Grawunder, Anja; Lonschinski, Martin; Merten, Dirk; Büchel, Georg

    2015-01-01

    Highlights: • Spatially resolved analysis of 14 rare earth elements (REE) by LA-ICP-MS. • Positive correlation of Mn contents and (positive) Ce anomalies. • Linkage of the two cemented layer’s formation to soil solution and groundwater. - Abstract: In a profile with two cemented layers sampled in an area affected by acid mine drainage, both have rare earth element (REE) signatures with positive Ce anomalies in the Post Archean Australian Shale-normalised patterns. Both cemented layers have higher contents of environmentally relevant metals (Cd, Co, Cu, Fe, Mn, U, and Zn) than the over- and underlying unconsolidated Quaternary sediments and are depleted of Al, Ca, K, and Mg. The cemented layers are enriched in middle and heavy REE, but only the bulk pattern of the lower cemented layer reveals a positive Ce anomaly. For the upper cemented layer, this positive Ce anomaly was only determined by spatially resolved laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) studies only for segments with a high abundance of Mn, occurring as Mn phases as proven by energy dispersive X-ray spectroscopy. The Mn phases are formed secondarily to the ferric cement and are especially enriched in Ce and Co. The Ce anomaly of the lower cemented layer most probably is inherited from groundwater to the ferric cement, whereas the Ce anomaly of the upper cemented layer is the result of preferential scavenging of Ce onto the Mn phases compared to other REE

  16. Bait-lamina assay as a tool to assess the effects of metal contamination in the feeding activity of soil invertebrates within a uranium mine area

    International Nuclear Information System (INIS)

    Andre, A.; Antunes, S.C.; Goncalves, F.; Pereira, R.

    2009-01-01

    As part of the tier 2 of a site-specific risk assessment, this study was the first reporting an intensive in situ application of the bait-lamina assay; two exposure periods (7 and 14 days) were tested during four seasons in ten different sites, within a uranium mine area and at two different depths. The most contaminated sites (by deposition of sludge from the effluent treatment pond) were discriminated after 14 days of exposure because extremely low percentages of feeding activity were recorded. Previous sub-lethal ecotoxicological assays, already had demonstrated that the habitat function of these soils is compromised. Nevertheless, seasonality has proved to have a significant influence on responses. Thus to strength conclusions about the impact of contaminants, the in situ bait-lamina assay should be performed on different annual seasons, at least for temperate regions. It was also found that some environmental parameters (e.g. soil moisture and litter) can act as confounding factors in the bait-lamina assay. - Bait-lamina assay for in situ evaluation of soil functions under site-specific risk assessments.

  17. Environmental Decision Making on Acid Mine Drainage Issues in South Africa: An Argument for the Precautionary Principle.

    Science.gov (United States)

    Morodi, T J; Mpofu, Charles

    2017-06-28

    This paper examines the issue of acid mine drainage in South Africa and environmental decision making processes that could be taken to mitigate the problem in the context of both conventional risk assessment and the precautionary principle. It is argued that conventional risk assessment protects the status quo and hence cannot be entirely relied upon as an effective tool to resolve environmental problems in the context of South Africa, a developing country with complex environmental health concerns. The complexity of the environmental issues is discussed from historical and political perspectives. An argument is subsequently made that the precautionary principle is an alternative tool, and its adoption can be used to empower local communities. This work, therefore, adds to new knowledge by problematising conventional risk assessment and proposing the framing of the acid mine drainage issues in a complex and contextual scenario of a developing country-South Africa.

  18. Mining and environment

    International Nuclear Information System (INIS)

    Pimiento, Elkin Vargas

    1998-01-01

    In order to obtain the best social and environmental results from mining activities, different solutions, which involve a variety of perspectives, have been proposed. These include the worldwide perspective based in the economy globalization paradigms; the regional perspective, focused in the integration of countries; the national perspective, which emphasizes the natural assets and development options, and finally a local perspective is incorporated to account for the participation of directly affected communities. Within this framework, the mining industry is requested to develop both technological and managerial tools appropriate to evaluate, optimize and communicate the social and environmental performance and output of its related activities, mainly in the developing countries. On the other hand, the governments have been committed to implement regulatory actions, of command and control type, based on an environmental legislation in line with the above mentioned perspectives and also to use economical instruments as a mean to accomplish environmental objectives. In Colombia the direct regulation methods have been traditionally used to prevent the environmental deterioration produced by mining activities, however, since the 1991 political constitution and the law 99 of 1993, the communities' participation and economical instruments were incorporated. A historic summary of the environmental legislation in our country from the early 70's up to now, showing its implications in mining is presented. Then a favorable tendency is indicated in the environmental improvement of the national extractive industry, accomplished as a result of the implementation of new strategies to minimize the impact of mining on the environment and to improve the well being of local communities

  19. Caliper Context Annotation Library

    Energy Technology Data Exchange (ETDEWEB)

    2015-09-30

    To understand the performance of parallel programs, developers need to be able to relate performance measurement data with context information, such as the call path / line numbers or iteration numbers where measurements were taken. Caliper provides a generic way to specify and collect multi-dimensional context information across the software stack, and provide ti to third-party measurement tools or write it into a file or database in the form of context streams.

  20. Text mining for literature review and knowledge discovery in cancer risk assessment and research.

    Directory of Open Access Journals (Sweden)

    Anna Korhonen

    Full Text Available Research in biomedical text mining is starting to produce technology which can make information in biomedical literature more accessible for bio-scientists. One of the current challenges is to integrate and refine this technology to support real-life scientific tasks in biomedicine, and to evaluate its usefulness in the context of such tasks. We describe CRAB - a fully integrated text mining tool designed to support chemical health risk assessment. This task is complex and time-consuming, requiring a thorough review of existing scientific data on a particular chemical. Covering human, animal, cellular and other mechanistic data from various fields of biomedicine, this is highly varied and therefore difficult to harvest from literature databases via manual means. Our tool automates the process by extracting relevant scientific data in published literature and classifying it according to multiple qualitative dimensions. Developed in close collaboration with risk assessors, the tool allows navigating the classified dataset in various ways and sharing the data with other users. We present a direct and user-based evaluation which shows that the technology integrated in the tool is highly accurate, and report a number of case studies which demonstrate how the tool can be used to support scientific discovery in cancer risk assessment and research. Our work demonstrates the usefulness of a text mining pipeline in facilitating complex research tasks in biomedicine. We discuss further development and application of our technology to other types of chemical risk assessment in the future.

  1. Mining Method

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Young Shik; Lee, Kyung Woon; Kim, Oak Hwan; Kim, Dae Kyung [Korea Institute of Geology Mining and Materials, Taejon (Korea, Republic of)

    1996-12-01

    The reducing coal market has been enforcing the coal industry to make exceptional rationalization and restructuring efforts since the end of the eighties. To the competition from crude oil and natural gas has been added the growing pressure from rising wages and rising production cost as the workings get deeper. To improve the competitive position of the coal mines against oil and gas through cost reduction, studies to improve mining system have been carried out. To find fields requiring improvements most, the technologies using in Tae Bak Colliery which was selected one of long running mines were investigated and analyzed. The mining method appeared the field needing improvements most to reduce the production cost. The present method, so-called inseam roadway caving method presently is using to extract the steep and thick seam. However, this method has several drawbacks. To solve the problems, two mining methods are suggested for a long term and short term method respectively. Inseam roadway caving method with long-hole blasting method is a variety of the present inseam roadway caving method modified by replacing timber sets with steel arch sets and the shovel loaders with chain conveyors. And long hole blasting is introduced to promote caving. And pillar caving method with chock supports method uses chock supports setting in the cross-cut from the hanging wall to the footwall. Two single chain conveyors are needed. One is installed in front of chock supports to clear coal from the cutting face. The other is installed behind the supports to transport caved coal from behind. This method is superior to the previous one in terms of safety from water-inrushes, production rate and productivity. The only drawback is that it needs more investment. (author). 14 tabs., 34 figs.

  2. A Survey of Educational Data-Mining Research

    Science.gov (United States)

    Huebner, Richard A.

    2013-01-01

    Educational data mining (EDM) is an emerging discipline that focuses on applying data mining tools and techniques to educationally related data. The discipline focuses on analyzing educational data to develop models for improving learning experiences and improving institutional effectiveness. A literature review on educational data mining topics…

  3. The viability of business data mining in the sports environment ...

    African Journals Online (AJOL)

    Data mining can be viewed as the process of extracting previously unknown information from large databases and utilising this information to make crucial business decisions (Simoudis, 1996: 26). This paper considers the viability of using data mining tools and techniques in sports, particularly with regard to mining the ...

  4. Data Mining and Homeland Security: An Overview

    National Research Council Canada - National Science Library

    Seifert, Jeffrey W

    2008-01-01

    .... Often used as a means for detecting fraud, assessing risk, and product retailing, data mining involves the use of data analysis tools to discover previously unknown, valid patterns and relationships in large data sets...

  5. Data Mining and Homeland Security: An Overview

    National Research Council Canada - National Science Library

    Seifert, Jeffrey W

    2007-01-01

    .... Often used as a means for detecting fraud, assessing risk, and product retailing, data mining involves the use of data analysis tools to discover previously unknown, valid patterns and relationships in large data sets...

  6. Data Mining and Homeland Security: An Overview

    National Research Council Canada - National Science Library

    Seifert, Jeffrey W

    2006-01-01

    .... Often used as a means for detecting fraud, assessing risk, and product retailing, data mining involves the use of data analysis tools to discover previously unknown, valid patterns and relationships in large data sets...

  7. DGT as a useful monitoring tool for radionuclides and trace metals in environments impacted by uranium mining: Case study of the Sagnes wetland in France.

    Science.gov (United States)

    Leermakers, Martine; Phrommavanh, Vannapha; Drozdzak, Jagoda; Gao, Yue; Nos, Jérémy; Descostes, Michael

    2016-07-01

    The Diffusive Gradients in Thin films (DGT) technique was used to analyse U, (226)Ra and other trace metals in stream water and soil porewater in a wetland in France impacted by uranium mining. High resolution profiles of metals in soil porewater obtained by DGT could be measured for the first time up to a depth of 75 cm by the construction of a novel DGT holder. In stream water, the DGT technique was compared to speciation carried out by filtration (0.45 μm) and ultrafiltration (UF) (500 kDa/100 kDa/10 kDa) and DGT porewater profiles were compared with piezometer data obtained in a parallel study. An increase in the trace concentrations of dissolved (0.45 μm) and particulate U, (226)Ra, and elements such as Al, Fe, Mn and Ba was observed in the stream water as it passes through the bog as a results of mobilization from the wetland. The porewater results indicate DGT labile metals species to be present in porewater and mobilization of uranium and other elements linked to the presence of enriched clays. In stream water, colloids and particles govern the behavior of U, Al and Fe, whereas Mn, Ba and Ra are essentially transported as truly dissolved metal species with DGT labile concentrations accounting for 100% of the dissolved fraction. The combined approaches of DGT and UF allow us to obtain a better understanding on the biogeochemical processes involved in the retention and mobility of U and (226)Ra in the wetland. Copyright © 2016 Elsevier Ltd. All rights reserved.

  8. Long-term experience in salt mining and experience in salt mine decommissioning - a chance for ultimate storage?

    International Nuclear Information System (INIS)

    Sitz, P.; Rauche, H.

    2003-01-01

    The author discusses similarities between salt mining and ultimate storage and the possibility of using abandoned salt mines as ultimate storage site. He states that with all the numeric prediction tools now available, expert knowledge of mining engineers is still indispensable [de

  9. Monitoring Metal Pollution Levels in Mine Wastes around a Coal Mine Site Using GIS

    Science.gov (United States)

    Sanliyuksel Yucel, D.; Yucel, M. A.; Ileri, B.

    2017-11-01

    In this case study, metal pollution levels in mine wastes at a coal mine site in Etili coal mine (Can coal basin, NW Turkey) are evaluated using geographical information system (GIS) tools. Etili coal mine was operated since the 1980s as an open pit. Acid mine drainage is the main environmental problem around the coal mine. The main environmental contamination source is mine wastes stored around the mine site. Mine wastes were dumped over an extensive area along the riverbeds, and are now abandoned. Mine waste samples were homogenously taken at 10 locations within the sampling area of 102.33 ha. The paste pH and electrical conductivity values of mine wastes ranged from 2.87 to 4.17 and 432 to 2430 μS/cm, respectively. Maximum Al, Fe, Mn, Pb, Zn and Ni concentrations of wastes were measured as 109300, 70600, 309.86, 115.2, 38 and 5.3 mg/kg, respectively. The Al, Fe and Pb concentrations of mine wastes are higher than world surface rock average values. The geochemical analysis results from the study area were presented in the form of maps. The GIS based environmental database will serve as a reference study for our future work.

  10. MONITORING METAL POLLUTION LEVELS IN MINE WASTES AROUND A COAL MINE SITE USING GIS

    Directory of Open Access Journals (Sweden)

    D. Sanliyuksel Yucel

    2017-11-01

    Full Text Available In this case study, metal pollution levels in mine wastes at a coal mine site in Etili coal mine (Can coal basin, NW Turkey are evaluated using geographical information system (GIS tools. Etili coal mine was operated since the 1980s as an open pit. Acid mine drainage is the main environmental problem around the coal mine. The main environmental contamination source is mine wastes stored around the mine site. Mine wastes were dumped over an extensive area along the riverbeds, and are now abandoned. Mine waste samples were homogenously taken at 10 locations within the sampling area of 102.33 ha. The paste pH and electrical conductivity values of mine wastes ranged from 2.87 to 4.17 and 432 to 2430 μS/cm, respectively. Maximum Al, Fe, Mn, Pb, Zn and Ni concentrations of wastes were measured as 109300, 70600, 309.86, 115.2, 38 and 5.3 mg/kg, respectively. The Al, Fe and Pb concentrations of mine wastes are higher than world surface rock average values. The geochemical analysis results from the study area were presented in the form of maps. The GIS based environmental database will serve as a reference study for our future work.

  11. Mining Software Repositories with CVSgrab

    NARCIS (Netherlands)

    Voinea, Lucian; Telea, Alexandru

    2006-01-01

    In this paper we address the process and team analysis categories of the MSR Mining Challenge 2006. We use our CVSgrab tool to acquire the data and interactively visualize the evolution of ArgoUML and PostgreSQL, in order to answer three relevant questions. We conclude summarizing the strong and

  12. Mining software repositories with CVSgrab

    NARCIS (Netherlands)

    Telea, A.C.; Voinea, S.L.

    2006-01-01

    In this paper we address the process and team analysis categories of the MSR Mining Challenge 2006. We use our CVSgrab tool to acquire the data and interactively visualize the evolution of ArgoUML and PostgreSQL, in order to answer three relevant questions. We conclude summarizing the strong and

  13. The Mining Minds digital health and wellness framework.

    Science.gov (United States)

    Banos, Oresti; Bilal Amin, Muhammad; Ali Khan, Wajahat; Afzal, Muhammad; Hussain, Maqbool; Kang, Byeong Ho; Lee, Sungyong

    2016-07-15

    The provision of health and wellness care is undergoing an enormous transformation. A key element of this revolution consists in prioritizing prevention and proactivity based on the analysis of people's conducts and the empowerment of individuals in their self-management. Digital technologies are unquestionably destined to be the main engine of this change, with an increasing number of domain-specific applications and devices commercialized every year; however, there is an apparent lack of frameworks capable of orchestrating and intelligently leveraging, all the data, information and knowledge generated through these systems. This work presents Mining Minds, a novel framework that builds on the core ideas of the digital health and wellness paradigms to enable the provision of personalized support. Mining Minds embraces some of the most prominent digital technologies, ranging from Big Data and Cloud Computing to Wearables and Internet of Things, as well as modern concepts and methods, such as context-awareness, knowledge bases or analytics, to holistically and continuously investigate on people's lifestyles and provide a variety of smart coaching and support services. This paper comprehensively describes the efficient and rational combination and interoperation of these technologies and methods through Mining Minds, while meeting the essential requirements posed by a framework for personalized health and wellness support. Moreover, this work presents a realization of the key architectural components of Mining Minds, as well as various exemplary user applications and expert tools to illustrate some of the potential services supported by the proposed framework. Mining Minds constitutes an innovative holistic means to inspect human behavior and provide personalized health and wellness support. The principles behind this framework uncover new research ideas and may serve as a reference for similar initiatives.

  14. Mine games

    Energy Technology Data Exchange (ETDEWEB)

    Patchett, A. [Hitachi Construction Equipment (United Kingdom)

    2006-09-15

    The article describes various excavators used in the UK by Hall Construction for coal mining and reclamation projects. They include machines from Hitachi Construction Machinery that have been modified with a coal shovel at the front end. The ZX350LC-3, for example incorporates a coal shovel, manufactured by Kocurek, to allow it to work at the rock face and lift coal into road wagons or dump trucks. 5 figs.

  15. Robots in mining

    CSIR Research Space (South Africa)

    Green, J

    2010-09-01

    Full Text Available ? • FOG – Fall of ground • Who is at risk? • What is the cost of incident? • What can we do about it? The Robot Potential • Technology • Conclusion © CSIR 2010 Slide 3 Yes Robots can improve mine safety Robot patrols unoccupied areas Generates a... risk map Additional tool Inform miners in making safe © CSIR 2010 Slide 4 Miner Safety Statistics • from DME (2010/03) • March 2010 • 490 000 employed • 400 000 suppliers1 • 9 died, 7 in rockfall incidents 2 • Prior year- March 2010 • 152...

  16. Applications of Geomatics in Surface Mining

    Science.gov (United States)

    Blachowski, Jan; Górniak-Zimroz, Justyna; Milczarek, Wojciech; Pactwa, Katarzyna

    2017-12-01

    In terms of method of extracting mineral from deposit, mining can be classified into: surface, underground, and borehole mining. Surface mining is a form of mining, in which the soil and the rock covering the mineral deposits are removed. Types of surface mining include mainly strip and open-cast methods, as well as quarrying. Tasks associated with surface mining of minerals include: resource estimation and deposit documentation, mine planning and deposit access, mine plant development, extraction of minerals from deposits, mineral and waste processing, reclamation and reclamation of former mining grounds. At each stage of mining, geodata describing changes occurring in space during the entire life cycle of surface mining project should be taken into consideration, i.e. collected, analysed, processed, examined, distributed. These data result from direct (e.g. geodetic) and indirect (i.e. remote or relative) measurements and observations including airborne and satellite methods, geotechnical, geological and hydrogeological data, and data from other types of sensors, e.g. located on mining equipment and infrastructure, mine plans and maps. Management of such vast sources and sets of geodata, as well as information resulting from processing, integrated analysis and examining such data can be facilitated with geomatic solutions. Geomatics is a discipline of gathering, processing, interpreting, storing and delivering spatially referenced information. Thus, geomatics integrates methods and technologies used for collecting, management, processing, visualizing and distributing spatial data. In other words, its meaning covers practically every method and tool from spatial data acquisition to distribution. In this work examples of application of geomatic solutions in surface mining on representative case studies in various stages of mine operation have been presented. These applications include: prospecting and documenting mineral deposits, assessment of land accessibility

  17. Do online prognostication tools represent a valid alternative to genomic profiling in the context of adjuvant treatment of early breast cancer? A systematic review of the literature.

    Science.gov (United States)

    El Hage Chehade, Hiba; Wazir, Umar; Mokbel, Kinan; Kasem, Abdul; Mokbel, Kefah

    2018-01-01

    Decision-making regarding adjuvant chemotherapy has been based on clinical and pathological features. However, such decisions are seldom consistent. Web-based predictive models have been developed using data from cancer registries to help determine the need for adjuvant therapy. More recently, with the recognition of the heterogenous nature of breast cancer, genomic assays have been developed to aid in the therapeutic decision-making. We have carried out a comprehensive literature review regarding online prognostication tools and genomic assays to assess whether online tools could be used as valid alternatives to genomic profiling in decision-making regarding adjuvant therapy in early breast cancer. Breast cancer has been recently recognized as a heterogenous disease based on variations in molecular characteristics. Online tools are valuable in guiding adjuvant treatment, especially in resource constrained countries. However, in the era of personalized therapy, molecular profiling appears to be superior in predicting clinical outcome and guiding therapy. Copyright © 2017 Elsevier Inc. All rights reserved.

  18. Data Mining and Analysis

    Science.gov (United States)

    Samms, Kevin O.

    2015-01-01

    The Data Mining project seeks to bring the capability of data visualization to NASA anomaly and problem reporting systems for the purpose of improving data trending, evaluations, and analyses. Currently NASA systems are tailored to meet the specific needs of its organizations. This tailoring has led to a variety of nomenclatures and levels of annotation for procedures, parts, and anomalies making difficult the realization of the common causes for anomalies. Making significant observations and realizing the connection between these causes without a common way to view large data sets is difficult to impossible. In the first phase of the Data Mining project a portal was created to present a common visualization of normalized sensitive data to customers with the appropriate security access. The tool of the visualization itself was also developed and fine-tuned. In the second phase of the project we took on the difficult task of searching and analyzing the target data set for common causes between anomalies. In the final part of the second phase we have learned more about how much of the analysis work will be the job of the Data Mining team, how to perform that work, and how that work may be used by different customers in different ways. In this paper I detail how our perspective has changed after gaining more insight into how the customers wish to interact with the output and how that has changed the product.

  19. Organizational Data Mining

    Science.gov (United States)

    Nemati, Hamid R.; Barko, Christopher D.

    Many organizations today possess substantial quantities of business information but have very little real business knowledge. A recent survey of 450 business executives reported that managerial intuition and instinct are more prevalent than hard facts in driving organizational decisions. To reverse this trend, businesses of all sizes would be well advised to adopt Organizational Data Mining (ODM). ODM is defined as leveraging Data Mining tools and technologies to enhance the decision-making process by transforming data into valuable and actionable knowledge to gain a competitive advantage. ODM has helped many organizations optimize internal resource allocations while better understanding and responding to the needs of their customers. The fundamental aspects of ODM can be categorized into Artificial Intelligence (AI), Information Technology (IT), and Organizational Theory (OT), with OT being the key distinction between ODM and Data Mining. In this chapter, we introduce ODM, explain its unique characteristics, and report on the current status of ODM research. Next we illustrate how several leading organizations have adopted ODM and are benefiting from it. Then we examine the evolution of ODM to the present day and conclude our chapter by contemplating ODM's challenging yet opportunistic future.

  20. An Examination of the Changes in Science Teaching Orientations and Technology-Enhanced Tools for Student Learning in the Context of Professional Development

    Science.gov (United States)

    Campbell, Todd; Zuwallack, Rebecca; Longhurst, Max; Shelton, Brett E.; Wolf, Paul G.

    2014-01-01

    This research examines how science teaching orientations and beliefs about technology-enhanced tools change over time in professional development (PD). The primary data sources for this study came from learning journals of 8 eighth grade science teachers at the beginning and conclusion of a year of PD. Based on the analysis completed, Information…

  1. Genome Context Viewer: visual exploration of multiple annotated genomes using microsynteny.

    Science.gov (United States)

    Cleary, Alan; Farmer, Andrew

    2018-05-01

    The Genome Context Viewer is a visual data-mining tool that allows users to search across multiple providers of genome data for regions with similarly annotated content that may be aligned and visualized at the level of their shared functional elements. By handling ordered sequences of gene family memberships as a unit of search and comparison, the user interface enables quick and intuitive assessment of the degree of gene content divergence and the presence of various types of structural events within syntenic contexts. Insights into functionally significant differences seen at this level of abstraction can then serve to direct the user to more detailed explorations of the underlying data in other interconnected, provider-specific tools. GCV is provided under the GNU General Public License version 3 (GPL-3.0). Source code is available at https://github.com/legumeinfo/lis_context_viewer. adf@ncgr.org. Supplementary data are available at Bioinformatics online.

  2. Useful design tools?

    DEFF Research Database (Denmark)

    Jensen, Jesper Ole

    2005-01-01

    vague and contested concept of sustainability into concrete concepts and building projects. It describes a typology of tools: process tools, impact assessment tools, multi-criteria tools and tools for monitoring. It includes a Danish paradigmatic case study of stakeholder participation in the planning...... of a new sustainable settlement. The use of design tools is discussed in relation to innovation and stakeholder participation, and it is stressed that the usefulness of design tools is context dependent....

  3. Incorporating ecosystem services into environmental management of deep-seabed mining

    Science.gov (United States)

    Le, Jennifer T.; Levin, Lisa A.; Carson, Richard T.

    2017-03-01

    Accelerated exploration of minerals in the deep sea over the past decade has raised the likelihood that commercial mining of the deep seabed will commence in the near future. Environmental concerns create a growing urgency for development of environmental regulations under commercial exploitation. Here, we consider an ecosystem services approach to the environmental policy and management of deep-sea mineral resources. Ecosystem services link the environment and human well-being, and can help improve sustainability and stewardship of the deep sea by providing a quantitative basis for decision-making. This paper briefly reviews ecosystem services provided by habitats targeted for deep-seabed mining (hydrothermal vents, seamounts, nodule provinces, and phosphate-rich margins), and presents practical steps to incorporate ecosystem services into deep-seabed mining regulation. The linkages and translation between ecosystem structure, ecological function (including supporting services), and ecosystem services are highlighted as generating human benefits. We consider criteria for identifying which ecosystem services are vulnerable to potential mining impacts, the role of ecological functions in providing ecosystem services, development of ecosystem service indicators, valuation of ecosystem services, and implementation of ecosystem services concepts. The first three steps put ecosystem services into a deep-seabed mining context; the last two steps help to incorporate ecosystem services into a management and decision-making framework. Phases of environmental planning discussed in the context of ecosystem services include conducting strategic environmental assessments, collecting baseline data, monitoring, establishing marine protected areas, assessing cumulative impacts, identifying thresholds and triggers, and creating an environmental damage compensation regime. We also identify knowledge gaps that need to be addressed in order to operationalize ecosystem services

  4. Data mining methods and applications

    CERN Document Server

    Lawrence, Kenneth D; Klimberg, Ronald K

    2007-01-01

    With today's information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them. Gain a Competitive Advantage Employ data mining in research and forecasting Build models with data management tools and methodology optimization Gain sophisticated breakdowns and complex analysis through multivariate, evolutionary, and neural net methodsLearn how to classify data and maintain qualityTransform Data into Business Acumen Data Mining Methods and

  5. Partnerships and Opportunity: A Canadian Success Story Community engagement on uranium mining in northern Saskatchewan. Informing and Involving Stakeholders in the Context of the Finnish Decision-making Process. Stakeholder involvement and public debate

    International Nuclear Information System (INIS)

    Katz, Sharonne; Vanhatalo, Hanna; Thome-Jassaud, Pierre-Franck

    2017-01-01

    Session 5 featured case studies of stakeholder involvement in decisions related to new nuclear power and fuel cycle facilities. The chair highlighted that more than 30 countries either have nuclear power facilities or are considering developing them, and 15 countries are currently building new reactors. The topic of new nuclear facilities is quite broad, and the session covered three case studies that were quite different. Ms Katz of Natural Resources Canada Limited outlined stakeholder engagement commitments by a number of actors in Canada, including the Canadian Nuclear Safety Commission. She provided an overview on Cameco's behalf of their experience in engaging the local stakeholders of uranium mining activities. Ms Vanhatalo reviewed Fennovoima's activities related to the site selection and move towards construction of a new nuclear reactor. Mr Thome-Jassaud presented the experience of electricite de France on two proposed reactor projects with France's formalised public debate process. A central theme of the presentations was the importance of establishing and maintaining a good reputation, especially in the local community. Ms Katz relayed a story of Cameco inviting community leaders, near an Australian property that Cameco had acquired to visit a mining community in Saskatchewan. Instead of tightly controlling the interaction, Cameco left the Australian guests to stay with local families for several days to ask questions and hear directly from members of the Canadian community without any interference. This required confidence on the part of the company that it had built a strong and positive relationship with the Canadian host community. Ms Vanhatalo described how the success in siting nuclear power plant Hanhikivi 1 near Pyhaejoki was attributable not only to Fennovoima's commitment to engage the community, but also to the reputation that the company Teollisuuden Voima Oy had built with its Olkiluoto nuclear power plant and the positive association with

  6. Exploration and Mining Roadmap

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2002-09-01

    This Exploration and Mining Technology Roadmap represents the third roadmap for the Mining Industry of the Future. It is based upon the results of the Exploration and Mining Roadmap Workshop held May 10 ñ 11, 2001.

  7. Ghana Mining Journal

    African Journals Online (AJOL)

    ... in the Ghana mining journal: Geology and Mineral Exploration, Mining, Quarrying, Geomechanics, Groundwater Studies, Hydrocarbon Development, Mineral Processing, Metallurgy, Material Science, Mineral Management Policies, Mineral Economics, Environmental Aspects, Computer Applications and Mining Education.

  8. Coal Mine Permit Boundaries

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — ESRI ArcView shapefile depicting New Mexico coal mines permitted under the Surface Mining Control and Reclamation Act of 1977 (SMCRA), by either the NM Mining these...

  9. Uranium mining in Australia

    International Nuclear Information System (INIS)

    Anon.

    1984-01-01

    The mining of uranium in Australia is criticised in relation to it's environmental impact, economics and effects on mine workers and Aborigines. A brief report is given on each of the operating and proposed uranium mines in Australia

  10. Text mining of web-based medical content

    CERN Document Server

    Neustein, Amy

    2014-01-01

    Text Mining of Web-Based Medical Content examines web mining for extracting useful information that can be used for treating and monitoring the healthcare of patients. This work provides methodological approaches to designing mapping tools that exploit data found in social media postings. Specific linguistic features of medical postings are analyzed vis-a-vis available data extraction tools for culling useful information.

  11. Mining royalties

    Directory of Open Access Journals (Sweden)

    Jelenković Rade J.

    2014-01-01

    Full Text Available Mineral resources are finite and nonrenewable in the sense that their extraction permanently depletes a country's resource inventory. The role of governments should be to manage the exploitation of these resources to maximize the economic benefits to their community, consistent with the need to attract and retain the exploration and development capital necessary to continue to realize these benefits for as long as possible. In designing mineral sector taxation systems, policy makers must carefully seek to balance tax types, rates, and incentives that satisfy the needs of both the nation and the mining investor.

  12. A Preliminary Investigation of Malaysian Student’s Daily Use of Mobile Devices as Potential Tools for STEM in a Local University Context

    Directory of Open Access Journals (Sweden)

    Shamsul Arrieya Ariffin

    2018-03-01

    Full Text Available Mobile learning is a fairly new approach to the educational paradigm where learning is concerned.  The usage of mobile learning may also be extended to various fields including Science, Technology, Engineering, and Mathematics (STEM.   As Malaysia is lagging behind in STEM, this research is conducted to study preliminary information concerning mobile learning in a local university context, particularly, STEM. The method for this research is a descriptive survey. The results indicate that students already have some skills in using mobile phones, particularly multimedia skills, which can be applied to STEM.

  13. Urban Mining

    DEFF Research Database (Denmark)

    2015-01-01

    The catalogue is one of the results of a small taught course at teh Aarhus School of Architecture. The course was offered to bachelor students and was specific focused on harvesting materials in an urban context and on building with waste.......The catalogue is one of the results of a small taught course at teh Aarhus School of Architecture. The course was offered to bachelor students and was specific focused on harvesting materials in an urban context and on building with waste....

  14. A Design Theory for Requirements Mining Systems

    OpenAIRE

    Meth, Hendrik

    2013-01-01

    Software requirements are often communicated in unstructured text documents, which need to be analyzed in order to identify and classify individual needs. This process is referred to as requirements mining in the context of this thesis. It is known to be time-consuming and error-prone when performed manually by a requirements engineer. Thus, there is a demand to support requirements mining through information technology. However, little research has been conducted to conceptualize theoretical...

  15. The Math–Biology Values Instrument: Development of a Tool to Measure Life Science Majors’ Task Values of Using Math in the Context of Biology

    Science.gov (United States)

    Andrews, Sarah E.; Runyon, Christopher; Aikens, Melissa L.

    2017-01-01

    In response to calls to improve the quantitative training of undergraduate biology students, there have been increased efforts to better integrate math into biology curricula. One challenge of such efforts is negative student attitudes toward math, which are thought to be particularly prevalent among biology students. According to theory, students’ personal values toward using math in a biological context will influence their achievement and behavioral outcomes, but a validated instrument is needed to determine this empirically. We developed the Math–Biology Values Instrument (MBVI), an 11-item college-level self-­report instrument grounded in expectancy-value theory, to measure life science students’ interest in using math to understand biology, the perceived usefulness of math to their life science career, and the cost of using math in biology courses. We used a process that integrates multiple forms of validity evidence to show that scores from the MBVI can be used as a valid measure of a student’s value of math in the context of biology. The MBVI can be used by instructors and researchers to help identify instructional strategies that influence math–biology values and understand how math–biology values are related to students’ achievement and decisions to pursue more advanced quantitative-based courses. PMID:28747355

  16. Energy policy in the Caribbean green economy context and the Institutional Analysis and Design (IAD) framework as a proposed tool for its development

    International Nuclear Information System (INIS)

    Shah, Kalim U.; Niles, Keron

    2016-01-01

    Market integration efforts of Caribbean small island developing states have become transposed on the growing paradigm shift towards green economy pathways. Central to this is the challenge of implementing Caribbean energy policy in a manner that is aligned with green economy ideals and face the realities of regional indebtedness and environmental impacts. Here we analyze the current state of the Caribbean energy policy development arena and propose that the currently weak policy and institutional design regime might potentially benefit from the application of the Institutional Analysis and Design (IAD) model especially within the operational context of the green economy. It allows us to identify current policy dilemmas, bottlenecks and discrepancies and to disentangle some of them while offering up a way forward with others. We do not so much offer distinct recommendations but focus more on delineating how to clear the pathway for sound policy intervention and outcomes. By doing so we set forth a challenging agenda for future policy analysis research that will advance Caribbean energy policy in more robust ways. - Highlights: • Un-coordinated Caricom energy policy can benefit from an institutional analysis and design approach. • Policy reform hinges on the patterns of interaction among key actors in the regional context. • Regional policy remains weak across efficiency, equity, accountability and adaptability parameters.

  17. Data mining in pharma sector: benefits.

    Science.gov (United States)

    Ranjan, Jayanthi

    2009-01-01

    The amount of data getting generated in any sector at present is enormous. The information flow in the pharma industry is huge. Pharma firms are progressing into increased technology-enabled products and services. Data mining, which is knowledge discovery from large sets of data, helps pharma firms to discover patterns in improving the quality of drug discovery and delivery methods. The paper aims to present how data mining is useful in the pharma industry, how its techniques can yield good results in pharma sector, and to show how data mining can really enhance in making decisions using pharmaceutical data. This conceptual paper is written based on secondary study, research and observations from magazines, reports and notes. The author has listed the types of patterns that can be discovered using data mining in pharma data. The paper shows how data mining is useful in the pharma industry and how its techniques can yield good results in pharma sector. Although much work can be produced for discovering knowledge in pharma data using data mining, the paper is limited to conceptualizing the ideas and view points at this stage; future work may include applying data mining techniques to pharma data based on primary research using the available, famous significant data mining tools. Research papers and conceptual papers related to data mining in Pharma industry are rare; this is the motivation for the paper.

  18. Evaluating Water Management Practice for Sustainable Mining

    Directory of Open Access Journals (Sweden)

    Xiangfeng Zhang

    2014-02-01

    Full Text Available To move towards sustainable development, the mining industry needs to identify better mine water management practices for reducing raw water use, increasing water use efficiency, and eliminating environmental impacts in a precondition of securing mining production. However, the selection of optimal mine water management practices is technically challenging due to the lack of scientific tools to comprehensively evaluate management options against a set of conflicting criteria. This work has provided a solution to aid the identification of more sustainable mine water management practices. The solution includes a conceptual framework for forming a decision hierarchy; an evaluation method for assessing mine water management practices; and a sensitivity analysis in view of different preferences of stakeholders or managers. The solution is applied to a case study of the evaluation of sustainable water management practices in 16 mines located in the Bowen Basin in Queensland, Australia. The evaluation results illustrate the usefulness of the proposed solution. A sensitivity analysis is performed according to preference weights of stakeholders or managers. Some measures are provided for assessing sensitivity of strategy ranking outcomes if the weight of an indicator changes. Finally, some advice is given to improve the mine water management in some mines.

  19. THE UNIFICATION OF THE CODE LISTS PROVIDED WITHIN THE DATA MODEL ORIGINATING FROM THE INSPIRE TECHNICAL GUIDELINES AND THE ONES PROVIDED FOR GESUT DATABASES IN THE CONTEXT OF POTENTIAL EXPLOITATION IN THE MINING INDUSTRY

    Directory of Open Access Journals (Sweden)

    Andrzej ZYGMUNIAK

    2016-07-01

    Full Text Available This study is aimed at exposing differences between two data models in case of code lists values provided there. The first of them is an obligatory one for managing Geodesic Register of Utility Networks databases in Poland [9] and the second is the model originating from the Technical Guidelines issued to the INSPIRE Directive. Since the second one mentioned is the basis for managing spatial databases among European parties, correlating these two data models has an effect in easing the way of harmonizing and, in consequence, exchanging spatial data. Therefore, the study presents the possibilities of increasing compatibility between the values of the code lists concerning attributes for objects provid-ed in both models. In practice, it could lead to an increase of the competitiveness of entities managing or processing such databases and to greater involvement in scientific or research projects when it comes to the mining industry. More-over, since utility networks located on mining areas are under particular protection, the ability of making them more fitted to their own needs will make it possible for mining plants to exchange spatial data in a more efficient way.

  20. Mining aspects of hard to access oil sands deposits

    Energy Technology Data Exchange (ETDEWEB)

    Stephenson, G.; Wright, D.; Lukacs, Z. [Norwest Corp., Calgary, AB (Canada)

    2006-07-01

    While a variety of oil sands mining technologies have been explored since the 1960s, the oil sands industry has generally favoured truck and shovel mining as a proven, low-cost mining solution. However, surface mining economics are affected by the price of bitumen, haul distances, tailings storage and geotechnical constraints. Maintenance, labour and the cost of replacing tires and ground engaging tools also have a significant impact on the economics of surface mining. Large volumes of water are used in surface mining, and remediation of surface mined areas can take hundreds of years. Damage to machinery is common as oil sands are abrasive and adhere to equipment. This presentation examined recent technologies developed to improve the economics of surface mining. Various extraction and tailings technologies were reviewed. Issues concerning the integration of mining and extraction processes were discussed. Various monitoring tools were evaluated. A review of new underground mining options included outlines of: longwall mining; sub-level caving; tunnel boring; and room and pillar extraction techniques. A generalized regional geology was presented. It was concluded that the oil sands surfacing mining industry should concentrate on near-term research needs to improve the performance and economics of proven technologies. Screening studies should also be conducted to determine the focus for the development of underground technologies. refs., tabs., figs.

  1. The Math-Biology Values Instrument: Development of a Tool to Measure Life Science Majors' Task Values of Using Math in the Context of Biology.

    Science.gov (United States)

    Andrews, Sarah E; Runyon, Christopher; Aikens, Melissa L

    2017-01-01

    In response to calls to improve the quantitative training of undergraduate biology students, there have been increased efforts to better integrate math into biology curricula. One challenge of such efforts is negative student attitudes toward math, which are thought to be particularly prevalent among biology students. According to theory, students' personal values toward using math in a biological context will influence their achievement and behavioral outcomes, but a validated instrument is needed to determine this empirically. We developed the Math-Biology Values Instrument (MBVI), an 11-item college-level self--report instrument grounded in expectancy-value theory, to measure life science students' interest in using math to understand biology, the perceived usefulness of math to their life science career, and the cost of using math in biology courses. We used a process that integrates multiple forms of validity evidence to show that scores from the MBVI can be used as a valid measure of a student's value of math in the context of biology. The MBVI can be used by instructors and researchers to help identify instructional strategies that influence math-biology values and understand how math-biology values are related to students' achievement and decisions to pursue more advanced quantitative-based courses. © 2017 S. E. Andrews et al. CBE—Life Sciences Education © 2017 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  2. On 3D Geo-visualization of a Mine Surface Plant and Mine Roadway

    Institute of Scientific and Technical Information of China (English)

    WANG Yunjia; FU Yongming; FU Erjiang

    2007-01-01

    Constructing the 3D virtual scene of a coal mine is the objective requirement for modernizing and processing information on coal mining production. It is also the key technology to establish a "digital mine". By exploring current worldwide research, software and hardware tools and application demands, combined with the case study site (the Dazhuang mine of Pingdingshan coal group), an approach for 3D geo-visualization of a mine surface plant and mine roadway is deeply discussed. In this study, the rapid modeling method for a large range virtual scene based on Arc/Info and SiteBuilder3D is studied, and automatic generation of a 3D scene from a 2D scene is realized. Such an automatic method which can convert mine roadway systems from 2D to 3D is realized for the Dazhuang mine. Some relevant application questions are studied, including attribute query, coordinate query, distance measure, collision detection and the dynamic interaction between 2D and 3D virtual scenes in the virtual scene of a mine surface plant and mine roadway. A prototype system is designed and developed.

  3. Uranium mining

    International Nuclear Information System (INIS)

    Cheeseman, E.W.

    1980-01-01

    The international uranium market appears to be currently over-supplied with a resultant softening in prices. Buyers on the international market are unhappy about some of the restrictions placed on sales by the government, and Canadian sales may suffer as a result. About 64 percent of Canada's shipments come from five operating Ontario mines, with the balance from Saskatchewan. Several other properties will be producing within the next few years. In spite of the adverse effects of the Three Mile Island incident and the default by the T.V.A. of their contract, some 3 600 tonnes of new uranium sales were completed during the year. The price for uranium had stabilized at US $42 - $44 by mid 1979, but by early 1980 had softened somewhat. The year 1979 saw the completion of major environmental hearings in Ontario and Newfoundland and the start of the B.C. inquiry. Two more hearings are scheduled for Saskatchewan in 1980. The Elliot Lake uranium mining expansion hearings are reviewed, as are other recent hearings. In the production of uranium for nuclear fuel cycle, environmental matters are of major concern to the industry, the public and to governments. Research is being conducted to determine the most effective method for removing radium from tailings area effluents. Very stringent criteria are being drawn up by the regulatory agencies that must be met by the industry in order to obtain an operating licence from the AECB. These criteria cover seepages from the tailings basin and through the tailings retention dam, seismic stability, and both short and long term management of the tailings waste management area. (auth)

  4. Kiruna research mine

    Energy Technology Data Exchange (ETDEWEB)

    Oestensen, A

    1983-12-01

    The research mine at Kiruna is the first large-scale mining research project sponsored by the Swedish government. Under the leadership of the Swedish Mining Research Foundation, a five-year project involving development of new mining systems and machinery will be carried out in cooperation with the Lulea Institute of Technology and a number of Swedish industrial companies.

  5. Application for trackless mining technique in Benxi uranium mine

    International Nuclear Information System (INIS)

    Chen Bingguo

    1998-01-01

    The author narrates the circumstances achieving constructional target in Benxi Uranium Mine under relying on advance of science and technology and adopting small trackless mining equipment, presents the application of trackless mining equipment at mining small mine and complex mineral deposit and discusses the unique superiority of trackless mining technique in development work, mining preparation work and backstoping

  6. Mining Product Data Models: A Case Study

    Directory of Open Access Journals (Sweden)

    Cristina-Claudia DOLEAN

    2014-01-01

    Full Text Available This paper presents two case studies used to prove the validity of some data-flow mining algorithms. We proposed the data-flow mining algorithms because most part of mining algorithms focuses on the control-flow perspective. First case study uses event logs generated by an ERP system (Navision after we set several trackers on the data elements needed in the process analyzed; while the second case study uses the event logs generated by YAWL system. We offered a general solution of data-flow model extraction from different data sources. In order to apply the data-flow mining algorithms the event logs must comply a certain format (using InputOutput extension. But to respect this format, a set of conversion tools is needed. We depicted the conversion tools used and how we got the data-flow models. Moreover, the data-flow model is compared to the control-flow model.

  7. The psychological portrait as a tool to improve the subjective well-being of the client in the context of personal sales

    Directory of Open Access Journals (Sweden)

    Kiseleva Elena S.

    2016-01-01

    Full Text Available The definition of the concept of relationship marketing is discussed. The notion of personal sale, which emphasizes the importance of knowing the psychology of customers, the ability to demonstrate significant competence and knowledge of modern techniques in sales by the seller is represented. The theory of marketing introduced by the concept of a "personal agent", most accurately reflects the activity of the seller in the context of relationship marketing. The necessity of the application of psychology in marketing is proved. This brief description of the four basic psychological concepts, which are the basis of the marketing strategy, is clarified by leading marketers. The three areas of application of differential psychology in marketing are suggested. The basis of the psychological techniques is represented by the typical characteristics of a person. The first point of the customer portrait is showed by the theory of spirits. The second point of psychological portrait is based on the theory of Socionics. The third point of the customer portrait refers to the theory of the types of perception of the world. Three stages of the process of building a psychological portrait of the client are proposed and described. Recommendations for dealing with clients of different psychological types are discussed. A technique of creation a psychological portrait of the client allows improving subjective well-being of customers and promotes the growth of the main indicators characterizing the effectiveness of personal sales.

  8. [Cultural detection of thermotolerant Campylobacter spp. in food--potentials and limitations of diagnostic tools in the context of official food control].

    Science.gov (United States)

    Messelhäusser, Ute; Thärigen, Diana; Fella, Christiane; Schreiner, Hermann; Busch, Ulrich; Höller, Christiane

    2015-01-01

    Thermotolerant Campylobacter spp. rank among the most important foodborne pathogens in Germany. Therefore a necessity for rapid and routinely useable detection methods exists also in the area of food microbiology. A reliable, cultura qualitative, but also quantitative detection of thermotolerant Campylobacter spp. pose a challenge, at least concerning special food matrices, especially because in the context of official food control the cultural detection of thermotolerant Campylobacter spp. is needed. This was the reason, why different cultural detection methods, beside the standard procedure of ISO 10272:2006, in combination with molecular and immunological screening methods were tested at the Bavarian Health and Food Safety Authority (LGL) during the last years for the use in routine diagnostic using different food matrices of animal and plant origin. The results of the comparative studies showed clearly that no enrichment broth tested gave completely satisfactory results for an only culture-based detection the combination with a screening method is therefore recommended for a rapid and reliable detection. But in this case the user should take into account that the sensitivity of such molecular and immunological methods is normally so high that in some cases, depending on the food matrix and processing step, the isolation of the pathogen would not be possible in samples, which were positive in the screening methods.

  9. Report from Dagstuhl Seminar 12331 Mobility Data Mining and Privacy

    OpenAIRE

    Clifton, Christopher W.; Kuijpers, Bart; Morik, Katharina; Saygin, Yucel

    2012-01-01

    This report documents the program and the outcomes of Dagstuhl Seminar 12331 “Mobility Data Mining and Privacy”. Mobility data mining aims to extract knowledge from movement behaviour of people, but this data also poses novel privacy risks. This seminar gathered a multidisciplinary team for a conversation on how to balance the value in mining mobility data with privacy issues. The seminar focused on four key issues: Privacy in vehicular data, in cellular data, context- dependent privacy, and ...

  10. Data mining concepts and techniques

    CERN Document Server

    Han, Jiawei

    2005-01-01

    Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and app...

  11. Natural resources sustainability: iron ore mining

    International Nuclear Information System (INIS)

    De La Torre de Palacios, Luis

    2011-01-01

    In the present article, a new tool to determine environmental sustainability, the energy impact index (EII) was developed to classify different iron mine projects according to two main parameters including energy consumption and CO 2 emissions. The EII considers the characteristics of the mineral (such as the quality, size, hardness, iron ore grade, reducibility, mineral/waste rate, and type of deposit), mining processes (type of exploitation, ore processing, available technology), and transportation (distance to cover).

  12. Data mining and business analytics with R

    CERN Document Server

    Ledolter, Johannes

    2013-01-01

    Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification. Highlighting both underlying concepts and practical computational skills, Data Mining

  13. Data Mining and Statistics for Decision Making

    CERN Document Server

    Tufféry, Stéphane

    2011-01-01

    Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized lin

  14. Play-back theatre, theatre laboratory, and role-playing: new tools in investigating the patient-physician relationship in the context of continuing medical education courses.

    Science.gov (United States)

    Piccoli, G; Rossetti, M; Dell'Olio, R; Perrotta, L; Mezza, E; Burdese, M; Maddalena, E; Bonetto, A; Jeantet, A; Segoloni, G P

    2005-06-01

    The aim of this study was to report on the validation of a role-playing approach, using play-back and theatre laboratory in the context of a continuing medical education (CME) course on predialysis and transplantation, to discuss the patient-physician relationship. The course was developed with the help of a theatre director. The role-playing 2-day course was designed to be highly interactive for a small group (15-20 participants), based on a core of case reports (dialysis, transplantation, and return to dialysis after graft failure). Two stages were included: play-back theatre in which experiences told by the participants were mimed by a group of actors, and theatre laboratory in which different aspects of voice and touch were explored. Opinions were gathered by an anonymous semistructured questionnaire completed by all participants. The course obtained a high score from The Ministry of Health (14 credits, 1 per teaching hour). The opinions of the 18 participants were highly positive; all liked the courses. Sixteen of 18 asked to repeat the experience. The strong emotional involvement was an advantage for 15 of 18, sharing emotional aspects of the profession for 10 of 18, and usefulness in clarifying opinions on "dark sides" of our profession for 10 of 18. The positive opinions recorded during this experience, the first experiment with a "psycho-theatrical approach" developed in a CME course in our country, suggest the benefit of implementing nonconventional, educational approaches in a multidisciplinary discussion of the patient-physician relationship in transplantation medicine.

  15. Analysis and prediction of pest dynamics in an agroforestry context using Tiko'n, a generic tool to develop food web models

    Science.gov (United States)

    Rojas, Marcela; Malard, Julien; Adamowski, Jan; Carrera, Jaime Luis; Maas, Raúl

    2017-04-01

    While it is known that climate change will impact future plant-pest population dynamics, potentially affecting crop damage, agroforestry with its enhanced biodiversity is said to reduce the outbreaks of pest insects by providing natural enemies for the control of pest populations. This premise is known in the literature as the natural enemy hypothesis and has been widely studied qualitatively. However, disagreement still exists on whether biodiversity enhancement reduces pest outbreaks, showing the need of quantitatively understanding the mechanisms behind the interactions between pests and natural enemies, also known as trophic interactions. Crop pest models that study insect population dynamics in agroforestry contexts are very rare, and pest models that take trophic interactions into account are even rarer. This may be due to the difficulty of representing complex food webs in a quantifiable model. There is therefore a need for validated food web models that allow users to predict the response of these webs to changes in climate in agroforestry systems. In this study we present Tiko'n, a Python-based software whose API allows users to rapidly build and validate trophic web models; the program uses a Bayesian inference approach to calibrate the models according to field data, allowing for the reuse of literature data from various sources and reducing the need for extensive field data collection. Tiko'n was run using coffee leaf miner (Leucoptera coffeella) and associated parasitoid data from a shaded coffee plantation, showing the mechanisms of insect population dynamics within a tri-trophic food web in an agroforestry system.

  16. Figure mining for biomedical research.

    Science.gov (United States)

    Rodriguez-Esteban, Raul; Iossifov, Ivan

    2009-08-15

    Figures from biomedical articles contain valuable information difficult to reach without specialized tools. Currently, there is no search engine that can retrieve specific figure types. This study describes a retrieval method that takes advantage of principles in image understanding, text mining and optical character recognition (OCR) to retrieve figure types defined conceptually. A search engine was developed to retrieve tables and figure types to aid computational and experimental research. http://iossifovlab.cshl.edu/figurome/.

  17. Data Mining: A Hybrid Methodology for Complex and Dynamic Research

    Science.gov (United States)

    Lang, Susan; Baehr, Craig

    2012-01-01

    This article provides an overview of the ways in which data and text mining have potential as research methodologies in composition studies. It introduces data mining in the context of the field of composition studies and discusses ways in which this methodology can complement and extend our existing research practices by blending the best of what…

  18. Do artesanato intelectual ao contexto virtual: ferramentas metodológicas para a pesquisa social From intellectual craft to the virtual context: methodological tools for social research

    Directory of Open Access Journals (Sweden)

    Tania Steren dos Santos

    2009-12-01

    Full Text Available O presente artigo examina os diversos procedimentos metodológicos, considerando especialmente as técnicas de pesquisa. São caracterizadas as mais tradicionais e também as novas estratégias utilizadas na pesquisa social no contexto da sociedade da informação. Salienta-se o impacto da incorporação das novas tecnologias da informática e da comunicação na pesquisa bibliográfica e documental e na pesquisa de campo. Ademais, é questionada a dicotomia das abordagens quantitativas e qualitativas, considerando sua complementaridade e interfaces. O paradigma da complexidade na perspectiva epistemológica apresenta avanços consideráveis, mas enquanto metodologia operativa está em seus primórdios. Nesse sentido, o estudo trata do tema da triangulação, concebida como procedimento promissor na busca da perspectiva quanti-qualitativa. Diante do exposto, entende-se a tentativa de explorar um pouco mais as características dos procedimentos e recursos técnicos que podem ser utilizados pelos pesquisadores que procuram desenvolver projetos de pesquisa mistos.This article examines different methodological procedures, and especially the research techniques. It characterizes both the traditional and the new strategies of social research that are used within the context of the information society. The author emphasizes the impact of incorporating the new computing and communication technologies in the bibliographic and documental research, as well as the field research. Furthermore, the article questions the dichotomy of quantitative and qualitative approaches, considering its complementarity and interfaces. The paradigm of complexity in the epistemological perspective shows considerable progress, but as an operating methodology it is still in its initial stages. In this sense, the study addresses the issue of triangulation, designed as a promising procedure in the search for the quantitative-qualitative approach. Considering the arguments, the

  19. Hydrogeology baseline study Aurora Mine

    International Nuclear Information System (INIS)

    1996-01-01

    A baseline hydrogeologic study was conducted in the area of Syncrude's proposed Aurora Mine in order to develop a conceptual regional hydrogeologic model for the area that could be used to understand groundwater flow conditions. Geologic information was obtained from over 2,000 coreholes and from data obtained between 1980 and 1996 regarding water level for the basal aquifer. A 3-D numerical groundwater flow model was developed to provide quantitative estimates of the potential environmental impacts of the proposed mining operations on the groundwater flow system. The information was presented in the context of a regional study area which encompassed much of the Athabasca Oil Sands Region, and a local study area which was defined by the lowlands of the Muskeg River Basin. Characteristics of the topography, hydrology, climate, geology, and hydrogeology of the region are described. The conclusion is that groundwater flow in the aquifer occurs mostly in a westerly direction beneath the Aurora Mine towards its inferred discharge location along the Athabasca River. Baseflow in the Muskeg River is mostly related to discharge from shallow surficial aquifers. Water in the river under baseflow conditions was fresh, of calcium-carbonate type, with very little indication of mineralization associated with deeper groundwater in the Aurora Mine area. 44 refs., 5 tabs., 31 figs

  20. Mining with communities

    International Nuclear Information System (INIS)

    Veiga, Marcello M.; Scoble, Malcolm; McAllister, Mary Louise

    2001-01-01

    To be considered as sustainable, a mining community needs to adhere to the principles of ecological sustainability, economic vitality and social equity. These principles apply over a long time span, covering both the life of the mine and post-mining closure. The legacy left by a mine to the community after its closure is emerging as a significant aspect of its planning. Progress towards sustainability is made when value is added to a community with respect to these principles by the mining operation during its life cycle. This article presents a series of cases to demonstrate the diverse potential challenges to achieving a sustainable mining community. These case studies of both new and old mining communities are drawn mainly from Canada and from locations abroad where Canadian companies are now building mines. The article concludes by considering various approaches that can foster sustainable mining communities and the role of community consultation and capacity building. (author)

  1. Operation Context

    DEFF Research Database (Denmark)

    Stüben, Henning; Tietjen, Anne

    2006-01-01

    Abstract: This paper seeks to challenge the notion of context from an operational perspective. Can we grasp the forces that shape the complex conditions for an architectural or urban design within the notion of context? By shifting the gaze towards the agency of architecture, contextual analysis...

  2. Trace elements and Pb isotopes in soils and sediments impacted by uranium mining

    Energy Technology Data Exchange (ETDEWEB)

    Cuvier, A., E-mail: alicia.cuvier@hotmail.fr [ECOLAB, Université de Toulouse, CNRS, INPT, UPS, Toulouse (France); IRSN/PRP-ENV/SESURE/Laboratoire d' études radioécologiques en milieu continental et marin, BP 1, 13108 Saint Paul Lez Durance Cedex (France); Pourcelot, L. [IRSN/PRP-ENV/SESURE/Laboratoire d' études radioécologiques en milieu continental et marin, BP 1, 13108 Saint Paul Lez Durance Cedex (France); Probst, A. [ECOLAB, Université de Toulouse, CNRS, INPT, UPS, Toulouse (France); Prunier, J. [Observatoire Midi-Pyrénées, laboratoire Géosciences Environnement Toulouse, CNRS/IRD/Université Paul Sabatier, 14 avenue Edouard Belin, 31400 Toulouse (France); Le Roux, G., E-mail: gael.leroux@ensat.fr [ECOLAB, Université de Toulouse, CNRS, INPT, UPS, Toulouse (France)

    2016-10-01

    The purpose of this study is to evaluate the contamination in As, Ba, Co, Cu, Mn, Ni, Sr, V, Zn and REE, in a high uranium activity (up to 21,000 Bq ∙ kg{sup −1}) area, downstream of a former uranium mine. Different geochemical proxies like enrichment factor and fractions from a sequential extraction procedure are used to evaluate the level of contamination, the mobility and the availability of the potential contaminants. Pb isotope ratios are determined in the total samples and in the sequential leachates to identify the sources of the contaminants and to determine the mobility of radiogenic Pb in the context of uranium mining. In spite of the large uranium contamination measured in the soils and the sediments (EF ≫ 40), trace element contamination is low to moderate (2 < EF < 5), except for Ba (5 < EF < 15), due to the precipitation of barium sulfate resulting from mining activities. Most of the trace elements are associated with the most mobile fractions of the sediments/soils, implying an enhanced potential availability. Even if no Pb enrichment is highlighted, the Pb isotopic signature of the contaminated soils is strongly radiogenic. Measurements performed on the sequential leachates reveal inputs of radiogenic Pb in the most mobile fractions of the contaminated soil. Inputs of low-mobile radiogenic Pb from mining activities may also contribute to the Pb signature recorded in the residual phase of the contaminated samples. We demonstrate that Pb isotopes are efficient tools to trace the origin and the mobility of the contaminants in environments affected by uranium mining. - Highlights: • Contamination of soils is evidenced by a multiproxy approach. • Enrichment factors highlight a low contamination except for U, S and Ba. • Pb isotope ratios point out inputs of radiogenic Pb from the mine. • Radiogenic Pb is mainly in the acid-soluble and the reducible fractions.

  3. Thermo-hydrodynamical modelling of a flooded deep mine reservoir - Case of the Lorraine Coal Basin

    International Nuclear Information System (INIS)

    Reichart, Guillaume

    2015-01-01

    Since 2006, cessation of dewatering in Lorraine Coal Basin (France) led to the flooding of abandoned mines, resulting in a new hydrodynamic balance in the area. Recent researches concerning geothermal exploitation of flooded reservoirs raised new questions, which we propose to answer. Our work aimed to understand the thermos-hydrodynamic behaviour of mine water in a flooding or flooded system. Firstly, we synthesized the geographical, geological and hydrogeological contexts of the Lorraine Coal Basin, and we chose a specific area for our studies. Secondly, temperature and electric conductivity log profiles were measured in old pits of the Lorraine Coal Basin, giving a better understanding of the water behaviour at a deep mine shaft scale. We were able to build a thermos-hydrodynamic model and simulate water behaviour at this scale. Flow regime stability is also studied. Thirdly, a hydrodynamic spatialized meshed model was realized to study the hydrodynamic behaviour of a mine reservoir as a whole. Observed water-table rise was correctly reproduced: moreover, the model can be used in a predictive way after the flooding. Several tools were tested, improved or developed to ease the study of flooded reservoirs, as three-dimensional up-scaling of hydraulic conductivities and a coupled spatialized meshed model with a pipe network. (author) [fr

  4. Text Mining in Biomedical Domain with Emphasis on Document Clustering.

    Science.gov (United States)

    Renganathan, Vinaitheerthan

    2017-07-01

    With the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published. Text mining techniques enable the extraction of unknown knowledge from unstructured documents. This paper reviews text mining processes in detail and the software tools available to carry out text mining. It also reviews the roles and applications of text mining in the biomedical domain. Text mining processes, such as search and retrieval of documents, pre-processing of documents, natural language processing, methods for text clustering, and methods for text classification are described in detail. Text mining techniques can facilitate the mining of vast amounts of knowledge on a given topic from published biomedical research articles and draw meaningful conclusions that are not possible otherwise.

  5. South African mine valuation

    Energy Technology Data Exchange (ETDEWEB)

    Storrar, C D

    1977-01-01

    This article sets out the basic concepts of mine valuation, with gold mining receiving more space than base minerals and coal. Sampling practice is given special attention. Chapter headings are methods of investigation, sampling, underground sampling, averaging of underground sampling, diamond-drill sampling, mass and mineral content of ore, organization of a sample office, working costs, mining pay limits, ore reserves, ore accounting, maintenance of grade, forecasting operations and life of mine, statistical mine valuation, state's share of profits and taxation, and financial valuation of mining ventures.

  6. Technological highwall mining

    Energy Technology Data Exchange (ETDEWEB)

    Davison, I. [Highwall Systems (United States)

    2006-09-15

    The paper explores the issues facing highwall mining. Based in Chilhowie, Virginia, American Highwall Systems has developed a highwall mining system that will allow the mining of coal seams from 26 in to 10 ft in thickness. The first production model, AH51, began mining in August 2006. Technologies incorporated into the company's mining machines to improve the performance, enhance the efficiency, and improve the reliability of the highwall mining equipment incorporate technologies from many disciplines. Technology as applied to design engineering, manufacturing and fabrication engineering, control and monitoring computer hardware and software has played an important role in the evolution of the American Highwall Systems design concept. 5 photos.

  7. Context in a wider context

    Directory of Open Access Journals (Sweden)

    John Traxler

    2011-07-01

    Full Text Available This paper attempts to review and reconsider the role of context in mobile learning and starts by outlining definitions of context-aware mobile learning as the technologies have become more mature, more robust and more widely available and as the notion of context has become progressively richer. The future role of context-aware mobile learning is considered within the context of the future of mobile learning as it moves from the challenges and opportunities of pedagogy and technology to the challenges and opportunities of policy, scale, sustainability, equity and engagement with augmented reality, «blended learning», «learner devices», «user-generated contexts» and the «internet of things». This is essentially a perspective on mobile learning, and other forms of technology-enhanced learning (TEL, where educators and their institutions set the agenda and manage change. There are, however, other perspectives on context. The increasing availability and use of smart-phones and other personal mobile devices with similar powerful functionality means that the experience of context for many people, in the form of personalized or location-based services, is an increasingly social and informal experience, rather than a specialist or educational experience. This is part of the transformative impact of mobility and connectedness on our societies brought about by these universal, ubiquitous and pervasive technologies. This paper contributes a revised understanding of context in the wider context (sic of the transformations taking place in our societies. These are subtle but pervasive transformations of jobs, work and the economy, of our sense of time, space and place, of knowing and learning, and of community and identity. This leads to a radical reconsideration of context as the notions of ‹self› and ‹other› are transformed.

  8. Software Tools Streamline Project Management

    Science.gov (United States)

    2009-01-01

    Three innovative software inventions from Ames Research Center (NETMARK, Program Management Tool, and Query-Based Document Management) are finding their way into NASA missions as well as industry applications. The first, NETMARK, is a program that enables integrated searching of data stored in a variety of databases and documents, meaning that users no longer have to look in several places for related information. NETMARK allows users to search and query information across all of these sources in one step. This cross-cutting capability in information analysis has exponentially reduced the amount of time needed to mine data from days or weeks to mere seconds. NETMARK has been used widely throughout NASA, enabling this automatic integration of information across many documents and databases. NASA projects that use NETMARK include the internal reporting system and project performance dashboard, Erasmus, NASA s enterprise management tool, which enhances organizational collaboration and information sharing through document routing and review; the Integrated Financial Management Program; International Space Station Knowledge Management; Mishap and Anomaly Information Reporting System; and management of the Mars Exploration Rovers. Approximately $1 billion worth of NASA s projects are currently managed using Program Management Tool (PMT), which is based on NETMARK. PMT is a comprehensive, Web-enabled application tool used to assist program and project managers within NASA enterprises in monitoring, disseminating, and tracking the progress of program and project milestones and other relevant resources. The PMT consists of an integrated knowledge repository built upon advanced enterprise-wide database integration techniques and the latest Web-enabled technologies. The current system is in a pilot operational mode allowing users to automatically manage, track, define, update, and view customizable milestone objectives and goals. The third software invention, Query

  9. WEKA-G: Parallel data mining on computational grids

    Directory of Open Access Journals (Sweden)

    PIMENTA, A.

    2009-12-01

    Full Text Available Data mining is a technology that can extract useful information from large amounts of data. However, mining a database often requires a high computational power. To resolve this problem, this paper presents a tool (Weka-G, which runs in parallel algorithms used in the mining process data. As the environment for doing so, we use a computational grid by adding several features within a WAN.

  10. Mining education in the XXI century: global challenges and prospects

    Directory of Open Access Journals (Sweden)

    О. И. Казанин

    2017-06-01

    Full Text Available An analysis of development prospects for the world mining industry is presented, requirements to mining technologies are formulated, as well as key trends of technologic development in the mineral resources complex. The paper demonstrates the role of mining industry and professional education as essential components of sustainable territorial development. Global challenges have been formulated, which must be taken into account when forming general approaches to the development of mining education. Distinctions of mining education in Russia, Germany, USA and other leading mining countries have been analyzed. Professional standards for mining engineers have been reviewed for different countries, along with their relation to educational standards. It has been shown, what role professional communities play in the development of professional education and stimulation of continuous professional development of mining engineers. Authors point out the need for international integration in the issues of training and continuous professional development of mining specialists, as well as international accreditation of educational programs for mining engineers and their certification. Information is presented on international organizations, performing the function of international accreditation of engineering educational programs, history of their establishment and role within the context of economic globalization. The paper contains examples of successful international cooperation and modern integration processes among universities, aimed at unification of requirements and improvement of existing systems of training and continuous professional development of mining engineers.

  11. Contract Mining versus Owner Mining – The Way Forward | Suglo ...

    African Journals Online (AJOL)

    Ghana Mining Journal ... By contracting out one or more of their mining operations, the mining companies can concentrate on their core businesses. This paper reviews ... The general trends in the mining industry show that contract mining will be the way forward for most mines under various circumstances in the future.

  12. Optimization of mining design of Hongwei uranium mine

    International Nuclear Information System (INIS)

    Wu Sanmao; Yuan Baixiang

    2012-01-01

    Combined with the mining conditions of Hongwei uranium mine, optimization schemes for hoisting cage, mine drainge,ore transport, mine wastewater treatment, power-supply system,etc are put forward in the mining design of the mine. Optimized effects are analyzed from the aspects of technique, economy, and energy saving and reducing emissions. (authors)

  13. Gas migration from closed coal mines to the surface. Risk assessment methodology and prevention means

    International Nuclear Information System (INIS)

    Pokryszka, Z.; Tauziede, Ch.; Lagny, C.; Guise, Y.; Gobillot, R.; Planchenault, J.M.; Lagarde, R.

    2005-01-01

    French law as regards renunciation to mining concessions calls for the mining operator to first undertake analyses of the risks represented by their underground mining works. The problem of gas migration to the surface is especially significant in the context of coal mines. This is because mine gas can migrate to the earth's surface, then present significant risks: explosion, suffocation or gas poisoning risks. As part of the scheduled closure of all coal mining operations in France, INERIS has drawn up, at the request of national mining operator Charbonnages de France, a general methodology for assessing the risk linked to gas in the context of closed coal mines. This article presents the principles of this methodology. An application example based on a true case study is then described. This is completed by a presentation of the preventive and monitoring resources recommended and usually applied in order to manage the risk linked to gaseous emissions. (authors)

  14. Analyzing Vessel Behavior Using Process Mining

    NARCIS (Netherlands)

    Maggi, F.M.; Mooij, A.J.; Aalst, W.M.P. van der

    2013-01-01

    In the maritime domain, electronic sensors such as AIS receivers and radars collect large amounts of data about the vessels in a certain geographical area. We investigate the use of process mining techniques for analyzing the behavior of the vessels based on these data. In the context of maritime

  15. Event metadata records as a testbed for scalable data mining

    International Nuclear Information System (INIS)

    Gemmeren, P van; Malon, D

    2010-01-01

    At a data rate of 200 hertz, event metadata records ('TAGs,' in ATLAS parlance) provide fertile grounds for development and evaluation of tools for scalable data mining. It is easy, of course, to apply HEP-specific selection or classification rules to event records and to label such an exercise 'data mining,' but our interest is different. Advanced statistical methods and tools such as classification, association rule mining, and cluster analysis are common outside the high energy physics community. These tools can prove useful, not for discovery physics, but for learning about our data, our detector, and our software. A fixed and relatively simple schema makes TAG export to other storage technologies such as HDF5 straightforward. This simplifies the task of exploiting very-large-scale parallel platforms such as Argonne National Laboratory's BlueGene/P, currently the largest supercomputer in the world for open science, in the development of scalable tools for data mining. Using a domain-neutral scientific data format may also enable us to take advantage of existing data mining components from other communities. There is, further, a substantial literature on the topic of one-pass algorithms and stream mining techniques, and such tools may be inserted naturally at various points in the event data processing and distribution chain. This paper describes early experience with event metadata records from ATLAS simulation and commissioning as a testbed for scalable data mining tool development and evaluation.

  16. A top-down / bottom-up approach for multi-actors and multi-criteria assessment of mining projects for sustainable development. Application on Arlit Uranium mines (Niger); Une demarche Top-Down / Bottom-Up pour l'evaluation en termes multicriteres et multi-acteurs des projets miniers dans l'optique du developpement durable. Application sur les mines d'Uranium d'Arlit (Niger)

    Energy Technology Data Exchange (ETDEWEB)

    Chamaret, A

    2007-06-15

    This thesis aims to appraise the relevance of using an hybrid top-down / bottom-up approach to evaluate mining projects in the perspective of sustainable development. With the advent of corporate social responsibility and sustainable development concepts, new social expectations have appeared towards companies that go beyond a sole requirement of profit earning capacity. If companies do not answer to these expectations, they risk to lose their social legitimacy. Traditionally associated with social, environmental, economical and political impacts and risks, mining activity is particularly concerned by these new issues. Whereas mineral resources needs have never been so high, mining companies are now expected to limit their negative effects and to take into account their different audiences' expectations in order to define, together, the terms of their social license to operate. Considering the diversity of issues, scales, actors and contexts, the challenge is real and necessitates tools to better understand issues and to structure dialogues. Based on the Uranium mines of Arlit (Niger) case study, this work shows that associating participatory approaches to structuration tools and literature propositions, appears as an efficient formula to better organize issues diversity and to build a structured dialogue between mining companies and their stakeholders. First Part aims to present the theoretical, institutional and sectorial contexts of the thesis. Second Part exposes work and results of the evaluation carried out in Niger. And, Third Part, shows the conclusions that can be derived from this work and presents a proposal for an evaluation framework, potentially applicable to other mining sites. (author)

  17. Uranium mining in Australia

    International Nuclear Information System (INIS)

    Anon.

    1980-01-01

    Known uranium deposits and the companies involved in uranium mining and exploration in Australia are listed. The status of the development of the deposits is outlined and reasons for delays to mining are given

  18. Mines and Mineral Resources

    Data.gov (United States)

    Department of Homeland Security — Mines in the United States According to the Homeland Security Infrastructure Program Tiger Team Report Table E-2.V.1 Sub-Layer Geographic Names, a mine is defined as...

  19. Text mining resources for the life sciences.

    Science.gov (United States)

    Przybyła, Piotr; Shardlow, Matthew; Aubin, Sophie; Bossy, Robert; Eckart de Castilho, Richard; Piperidis, Stelios; McNaught, John; Ananiadou, Sophia

    2016-01-01

    Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative accuracy of current text mining resources. In this survey, we give an overview of the text mining resources that exist in the life sciences to help researchers, especially those employed in biocuration, to engage with text mining in their own work. We categorize the various resources under three sections: Content Discovery looks at where and how to find biomedical publications for text mining; Knowledge Encoding describes the formats used to represent the different levels of information associated with content that enable text mining, including those formats used to carry such information between processes; Tools and Services gives an overview of workflow management systems that can be used to rapidly configure and compare domain- and task-specific processes, via access to a wide range of pre-built tools. We also provide links to relevant repositories in each section to enable the reader to find resources relevant to their own area of interest. Throughout this work we give a special focus to resources that are interoperable-those that have the crucial ability to share information, enabling smooth integration and reusability. © The Author(s) 2016. Published by Oxford University Press.

  20. Availability analysis of selected mining machinery

    Directory of Open Access Journals (Sweden)

    Brodny Jarosław

    2017-06-01

    Full Text Available Underground extraction of coal is characterized by high variability of mining and geological conditions in which it is conducted. Despite ever more effective methods and tools, used to identify the factors influencing this process, mining machinery, used in mining underground, work in difficult and not always foreseeable conditions, which means that these machines should be very universal and reliable. Additionally, a big competition, occurring on the coal market, causes that it is necessary to take action in order to reduce the cost of its production, e.g. by increasing the efficiency of utilization machines. To meet this objective it should be pro-ceed with analysis presented in this paper. The analysis concerns to availability of utilization selected mining machinery, conducted using the model of OEE, which is a tool for quantitative estimate strategy TPM. In this article we considered the machines being part of the mechanized longwall complex and the basis of analysis was the data recording by the industrial automation system. Using this data set we evaluated the availability of studied machines and the structure of registered breaks in their work. The results should be an important source of information for maintenance staff and management of mining plants, needed to improve the economic efficiency of underground mining.

  1. Text mining resources for the life sciences

    Science.gov (United States)

    Shardlow, Matthew; Aubin, Sophie; Bossy, Robert; Eckart de Castilho, Richard; Piperidis, Stelios; McNaught, John; Ananiadou, Sophia

    2016-01-01

    Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative accuracy of current text mining resources. In this survey, we give an overview of the text mining resources that exist in the life sciences to help researchers, especially those employed in biocuration, to engage with text mining in their own work. We categorize the various resources under three sections: Content Discovery looks at where and how to find biomedical publications for text mining; Knowledge Encoding describes the formats used to represent the different levels of information associated with content that enable text mining, including those formats used to carry such information between processes; Tools and Services gives an overview of workflow management systems that can be used to rapidly configure and compare domain- and task-specific processes, via access to a wide range of pre-built tools. We also provide links to relevant repositories in each section to enable the reader to find resources relevant to their own area of interest. Throughout this work we give a special focus to resources that are interoperable—those that have the crucial ability to share information, enabling smooth integration and reusability. PMID:27888231

  2. Sustainable mining management; Gestion minera sostenible

    Energy Technology Data Exchange (ETDEWEB)

    Tejera Oliver, J. L.

    2009-07-01

    Mining activities are carried out by the older man and have provided resources, since ancient times, for their development and progress. With the discovery of fire will show the first metals that have marked the civilizations of copper, bronze and iron, and is the prehistory of the Stone Age tools that man has made from the exploitation of quarries first. The industrial revolution of the nineteenth century is linked to coal and steel, and could not conceiver of todays society without oil and gas, without silicon and coltan. But the mines are often aggressive and, despite their need and what they contribute to the development are answered by the societies where are made. during recent years there has been growing international efforts to try to make the minimum requirements of sustainable exploitation (European Directives, GMI, GRI, etc.) In AENOR, and within the Technical Committee of Standardization 22 Mining and Explosives, chaired by AITEMIN, was established the subcommittee 3, chaired by IGME, where, with the participation of all stake holders, have developed some standards on sustainable mining management sustainable mining that will be a tool available to mining companies to demonstrate their sustainable use to Society. (Author)

  3. Mining Views : database views for data mining

    NARCIS (Netherlands)

    Blockeel, H.; Calders, T.; Fromont, É.; Goethals, B.; Prado, A.

    2008-01-01

    We present a system towards the integration of data mining into relational databases. To this end, a relational database model is proposed, based on the so called virtual mining views. We show that several types of patterns and models over the data, such as itemsets, association rules and decision

  4. Mining Views : database views for data mining

    NARCIS (Netherlands)

    Blockeel, H.; Calders, T.; Fromont, É.; Goethals, B.; Prado, A.; Nijssen, S.; De Raedt, L.

    2007-01-01

    We propose a relational database model towards the integration of data mining into relational database systems, based on the so called virtual mining views. We show that several types of patterns and models over the data, such as itemsets, association rules, decision trees and clusterings, can be

  5. Uranium mine ventilation

    International Nuclear Information System (INIS)

    Katam, K.; Sudarsono

    1982-01-01

    Uranium mine ventilation system aimed basically to control and decreasing the air radioactivity in mine caused by the radon emanating from uranium ore. The control and decreasing the air ''age'' in mine, with adding the air consumption volume, increasing the air rate consumption, closing the mine-out area; using closed drainage system. Air consumption should be 60m 3 /minute for each 9m 2 uranium ore surfaces with ventilation rate of 15m/minute. (author)

  6. Mine drainage treatment

    OpenAIRE

    Golomeova, Mirjana; Zendelska, Afrodita; Krstev, Boris; Golomeov, Blagoj; Krstev, Aleksandar

    2012-01-01

    Water flowing from underground and surface mines and contains high concentrations of dissolved metals is called mine drainage. Mine drainage can be categorized into several basic types by their alkalinity or acidity. Sulfide rich and carbonate poor materials are expected to produce acidic drainage, and alkaline rich materials, even with significant sulfide concentrations, often produce net alkaline water. Mine drainages are dangerous because pollutants may decompose in the environment. In...

  7. Mining in El Salvador

    DEFF Research Database (Denmark)

    Pacheco Cueva, Vladimir

    2014-01-01

    In this guest article, Vladimir Pacheco, a social scientist who has worked on mining and human rights shares his perspectives on a current campaign against mining in El Salvador – Central America’s smallest but most densely populated country.......In this guest article, Vladimir Pacheco, a social scientist who has worked on mining and human rights shares his perspectives on a current campaign against mining in El Salvador – Central America’s smallest but most densely populated country....

  8. The mining methods at the Fraisse mine

    International Nuclear Information System (INIS)

    Heurley, P.; Vervialle, J.P.

    1985-01-01

    The Fraisse mine is one of the four underground mines of the La Crouzille mining divisions of Cogema. Faced with the necessity to mechanize its workings, this mine also had to satisfy a certain number of stringent demands. This has led to concept of four different mining methods for the four workings at present in active operation at this pit, which nevertheless preserve the basic ideas of the methods of top slicing under concrete slabs (TSS) or horizontal cut-and-fill stopes (CFS). An electric scooptram is utilized. With this type of vehicle the stringent demands for the introduction of means for fire fighting and prevention are reduced to a minimum. Finally, the dimensions of the vehicles and the operation of these methods result in a net-to-gross tonnages of close to 1, i.e. a maximum output, combined with a minimum of contamination [fr

  9. Towards an evaluation framework for process mining systems

    NARCIS (Netherlands)

    Ailenei, I.; Rozinat, A.; Eckert, A.; Aalst, van der W.M.P.

    2011-01-01

    Process mining is an emerging topic in the BPM marketplace. Recently, several (commercial) software solutions have become available. Due to the lack of an evaluation framework, it is very dif¿cult for potential users to assess the strengths and weaknesses of these process mining tools. As the ¿rst

  10. Definition and validation of process mining use cases

    NARCIS (Netherlands)

    Ailenei, I.; Rozinat, A.; Eckert, A.; Aalst, van der W.M.P.; Daniel, F.; Barkaoui, K.; Dustdar, S.

    2012-01-01

    Process mining is an emerging topic in the BPM marketplace. Recently, several (commercial) software solutions have become available. Due to the lack of an evaluation framework, it is very difficult for potential users to assess the strengths and weaknesses of these process mining tools. As the first

  11. Data Mining for CRM

    Science.gov (United States)

    Thearling, Kurt

    Data Mining technology allows marketing organizations to better understand their customers and respond to their needs. This chapter describes how Data Mining can be combined with customer relationship management to help drive improved interactions with customers. An example showing how to use Data Mining to drive customer acquisition activities is presented.

  12. Colombian mining legislation

    International Nuclear Information System (INIS)

    Mendoza Delgado, Eva Isolina

    2004-01-01

    The paper makes a historical recount of the mining legislation in Colombia, it is about the more relevant aspects of the Code of Mines, like they are the title miner, obligations, economic aspects, integration of mining areas and of the benefits contemplated in the law 685 of 2001

  13. Mine waste management

    International Nuclear Information System (INIS)

    Hutchinson, I.P.G.; Ellison, R.D.

    1992-01-01

    This book reports on mine waste management. Topics covered include: Performance review of modern mine waste management units; Mine waste management requirements; Prediction of acid generation potential; Attenuation of chemical constituents; Climatic considerations; Liner system design; Closure requirements; Heap leaching; Ground water monitoring; and Economic impact evaluation

  14. Mining compressing sequential problems

    NARCIS (Netherlands)

    Hoang, T.L.; Mörchen, F.; Fradkin, D.; Calders, T.G.K.

    2012-01-01

    Compression based pattern mining has been successfully applied to many data mining tasks. We propose an approach based on the minimum description length principle to extract sequential patterns that compress a database of sequences well. We show that mining compressing patterns is NP-Hard and

  15. Mined-out land

    International Nuclear Information System (INIS)

    Reinsalu, Enno; Toomik, Arvi; Valgma, Ingo

    2002-01-01

    Estonian mineral resources are deposited in low depth and mining fields are large, therefore vast areas are affected by mining. There are at least 800 deposits with total area of 6,000 km 2 and about the same number of underground mines, surface mines, peat fields, quarries, and sand and gravel pits. The deposits cover more than 10% of Estonian mainland. The total area of operating mine claims exceeds 150 km 2 that makes 0.3 % of Estonian area. The book is written mainly for the people who are living or acting in the area influenced by mining. The observations and research could benefit those who are interested in geography and environment, who follow formation and look of mined-out landscapes. The book contains also warnings for careless people on and under the surface of the mined-out land. Part of the book contains results of the research made in 1968-1993 by the first two authors working at the Estonian branch of A.Skochinsky Institute of Mining. Since 1990, Arvi Toomik continued this study at the Northeastern section of the Institute of Ecology of Tallinn Pedagogical University. Enno Reinsalu studied aftereffects of mining at the Mining Department of Tallinn Technical University from 1998 to 2000. Geographical Information System for Mining was studied by Ingo Valgma within his doctoral dissertation, and this book is one of the applications of his study

  16. Mine water treatment

    Energy Technology Data Exchange (ETDEWEB)

    Komissarov, S V

    1980-10-01

    This article discusses composition of chemical compounds dissolved or suspended in mine waters in various coal basins of the USSR: Moscow basin, Kuzbass, Pechora, Kizelovsk, Karaganda, Donetsk and Chelyabinsk basins. Percentage of suspended materials in water depending on water source (water from water drainage system of dust suppression system) is evaluated. Pollution of mine waters with oils and coli bacteria is also described. Recommendations on construction, capacity of water settling tanks, and methods of mine water treatment are presented. In mines where coal seams 2 m or thicker are mined a system of two settling tanks should be used: in the upper one large grains are settled, in the lower one finer grains. The upper tank should be large enough to store mine water discharged during one month, and the lower one to store water discharged over two months. Salty waters from coal mines mining thin coal seams should be treated in a system of water reservoirs from which water evaporates (if climatic conditions permit). Mine waters from mines with thin coal seams but without high salt content can be treated in a system of long channels with water plants, which increase amount of oxygen in treated water. System of biological treatment of waste waters from mine wash-houses and baths is also described. Influence of temperature, sunshine and season of the year on efficiency of mine water treatment is also assessed. (In Russian)

  17. Mountaintop mining consequences

    Science.gov (United States)

    M.A. Palmer; E.S. Bernhardt; W.H. Schlesinger; K.N. Eshleman; E. Foufoula-Georgiou; M.S. Hendryx; A.D. Lemly; G.E. Likens; O.L. Loucks; M.E. Power; P.S. White; P.R. Wilcock

    2010-01-01

    There has been a global, 30-year increase in surface mining (1), which is now the dominant driver of land-use change in the central Appalachian ecoregion of the United States (2). One major form of such mining, mountaintop mining with valley fills (MTM/VF) (3), is widespread throughout eastern Kentucky, West Virginia (WV), and southwestern Virginia. Upper elevation...

  18. Ghana Mining Journal: Contact

    African Journals Online (AJOL)

    Principal Contact. Professor Daniel Mireku-Gyimah Editor-in-Chief University of Mines & Technology Ghana Mining Journal University of Mines & Technology P. O. BOX 237 Tarkwa Ghana Phone: +233 362 20280/20324. Fax: +233 362 20306. Email: dm.gyimah@umat.edu.gh ...

  19. Mining and its effects on the environment

    International Nuclear Information System (INIS)

    Kadlec, J.

    1996-01-01

    The article advocates mineral resource mining against fierce environmentalists who can see only the adverse aspects of this branch of industry. The following concepts are argued against: endangerment and permanent disturbance of the environment due to the mining and processing of mineral raw materials; excessive exploitation and selling-out of Czech national mineral resources; and inefficiency of administrative tools to protect Czech mineral resources and environment. It is concluded that mineral raw materials mining does not endanger the environment more than other anthropogenic activities do. Mining on its own is not responsible for the current poor condition of the environment in the Czech Republic, nor is it a source of permanent disturbance of the environment, as often unjustly claimed. The permanently sustainable development programme, referred to in the Environmental Protection Act, should only mitigate some adverse aspects of anthropogenic activities but is not expected to eliminate them altogether because this would imply elimination of their inflicter as such. (P.A.)

  20. Mobile Context Toolbox

    DEFF Research Database (Denmark)

    Stopczynski, Arkadiusz; Larsen, Jakob Eg; Skomail, Lukasz

    2010-01-01

    In this paper we describe an open framework utilizing sensors and application data on the Maemo mobile platform enabling rapid prototyping of context-aware mobile applications. The framework has an extensible layered architecture allowing new hardware and software sensors and features to be added...... to the context framework. We present initial results from in-the-wild experiments where contextual data was acquired using the tool. In the experiments 6 participants were using a Nokia N900 mobile phone continuously with a logger application for an average of 33 days. The study has provided valuable insights...

  1. Understanding the Social Context of the ASGM Sector in Ghana: A Qualitative Description of the Demographic, Health, and Nutritional Characteristics of a Small-Scale Gold Mining Community in Ghana.

    Science.gov (United States)

    Long, Rachel N; Renne, Elisha P; Basu, Niladri

    2015-10-12

    This descriptive paper describes factors related to demographics and health in an artisanal and small-scale gold mining (ASGM) community in Ghana's Upper East Region. Participants (n = 114) were surveyed in 2010 and 2011, adapting questions from the established national Demographic Health Survey (DHS) on factors such as population characteristics, infrastructure, amenities, education, employment, maternal and child health, and diet. In the study community, some indicators of household wealth (e.g., radios, mobile phones, refrigerators) are more common than elsewhere in Ghana, yet basic infrastructure (e.g., cement flooring, sanitation systems) and access to safe water supplies are lacking. Risk factors for poor respiratory health, such as cooking with biomass fuel smoke and smoking tobacco, are common. Certain metrics of maternal and child health are comparable to other areas of Ghana (e.g., frequency of antenatal care), whereas others (e.g., antenatal care from a skilled provider) show deficiencies. Residents surveyed do not appear to lack key micronutrients, but report lower fruit and vegetable consumption than other rural areas. The results enable a better understanding of community demographics, health, and nutrition, and underscore the need for better demographic and health surveillance and data collection across ASGM communities to inform effective policies and programs for improving miner and community health.

  2. Understanding the Social Context of the ASGM Sector in Ghana: A Qualitative Description of the Demographic, Health, and Nutritional Characteristics of a Small-Scale Gold Mining Community in Ghana

    Directory of Open Access Journals (Sweden)

    Rachel N. Long

    2015-10-01

    Full Text Available This descriptive paper describes factors related to demographics and health in an artisanal and small-scale gold mining (ASGM community in Ghana’s Upper East Region. Participants (n = 114 were surveyed in 2010 and 2011, adapting questions from the established national Demographic Health Survey (DHS on factors such as population characteristics, infrastructure, amenities, education, employment, maternal and child health, and diet. In the study community, some indicators of household wealth (e.g., radios, mobile phones, refrigerators are more common than elsewhere in Ghana, yet basic infrastructure (e.g., cement flooring, sanitation systems and access to safe water supplies are lacking. Risk factors for poor respiratory health, such as cooking with biomass fuel smoke and smoking tobacco, are common. Certain metrics of maternal and child health are comparable to other areas of Ghana (e.g., frequency of antenatal care, whereas others (e.g., antenatal care from a skilled provider show deficiencies. Residents surveyed do not appear to lack key micronutrients, but report lower fruit and vegetable consumption than other rural areas. The results enable a better understanding of community demographics, health, and nutrition, and underscore the need for better demographic and health surveillance and data collection across ASGM communities to inform effective policies and programs for improving miner and community health.

  3. Cultural text mining: using text mining to map the emergence of transnational reference cultures in public media repositories

    NARCIS (Netherlands)

    Pieters, Toine; Verheul, Jaap

    2014-01-01

    This paper discusses the research project Translantis, which uses innovative technologies for cultural text mining to analyze large repositories of digitized public media, such as newspapers and journals.1 The Translantis research team uses and develops the text mining tool Texcavator, which is

  4. Mining RNA-seq data for infections and contaminations.

    Directory of Open Access Journals (Sweden)

    Thomas Bonfert

    Full Text Available RNA sequencing (RNA-seq provides novel opportunities for transcriptomic studies at nucleotide resolution, including transcriptomics of viruses or microbes infecting a cell. However, standard approaches for mapping the resulting sequencing reads generally ignore alternative sources of expression other than the host cell and are little equipped to address the problems arising from redundancies and gaps among sequenced microbe and virus genomes. We show that screening of sequencing reads for contaminations and infections can be performed easily using ContextMap, our recently developed mapping software. Based on mapping-derived statistics, mapping confidence, similarities and misidentifications (e.g. due to missing genome sequences of species/strains can be assessed. Performance of our approach is evaluated on three real-life sequencing data sets and compared to state-of-the-art metagenomics tools. In particular, ContextMap vastly outperformed GASiC and GRAMMy in terms of runtime. In contrast to MEGAN4, it was capable of providing individual read mappings to species and resolving non-unique mappings, thus allowing the identification of misalignments caused by sequence similarities between genomes and missing genome sequences. Our study illustrates the importance and potentials of routinely mining RNA-seq experiments for infections or contaminations by microbes and viruses. By using ContextMap, gene expression of infecting agents can be analyzed and novel insights in infection processes and tumorigenesis can be obtained.

  5. data mining in distributed database

    International Nuclear Information System (INIS)

    Ghunaim, A.A.A.

    2007-01-01

    as we march into the age of digital information, the collection and the storage of large quantities of data is increased, and the problem of data overload looms ominously ahead. it is estimated today that the volume of data stored by a company doubles every year but the amount of meaningful information is decreases rapidly. the ability to analyze and understand massive datasets lags far behind the ability to gather and store the data. the unbridled growth of data will inevitably lead to a situation in which it is increasingly difficult to access the desired information; it will always be like looking for a needle in a haystack, and where only the amount of hay will be growing all the time . so, a new generation of computational techniques and tools is required to analyze and understand the rapidly growing volumes of data . and, because the information technology (it) has become a strategic weapon in the modern life, it is needed to use a new decision support tools to be an international powerful competitor.data mining is one of these tools and its methods make it possible to extract decisive knowledge needed by an enterprise and it means that it concerned with inferring models from data , including statistical pattern recognition, applied statistics, machine learning , and neural networks. data mining is a tool for increasing productivity of people trying to build predictive models. data mining techniques have been applied successfully to several real world problem domains; but the application in the nuclear reactors field has only little attention . one of the main reasons, is the difficulty in obtaining the data sets

  6. Mining planing introduction

    International Nuclear Information System (INIS)

    Toledo, R.D.

    1985-01-01

    Basic concepts concerning mining parameters, plan establishment and typical procedure methods applied throughout the physical execution of mining operations are here determined, analyzed and discussed. Technological and economic aspects of the exploration phase are presented as well as general mathematical and statistical methods for estimating, analyzing and representing mineral deposits which are virtually essential for good mining project execution. The characterization of important mineral substances and the basic parameters of mining works are emphasized in conjunction with long, medium and short term mining planning. Finally, geological modelling, ore reserves calculations and final economic evaluations are considered using a hypothetical example in order to consolidate the main elaborated ideas. (D.J.M.) [pt

  7. Gold-Mining

    DEFF Research Database (Denmark)

    Raaballe, J.; Grundy, B.D.

    2002-01-01

      Based on standard option pricing arguments and assumptions (including no convenience yield and sustainable property rights), we will not observe operating gold mines. We find that asymmetric information on the reserves in the gold mine is a necessary and sufficient condition for the existence...... of operating gold mines. Asymmetric information on the reserves in the mine implies that, at a high enough price of gold, the manager of high type finds the extraction value of the company to be higher than the current market value of the non-operating gold mine. Due to this under valuation the maxim of market...

  8. Improving safety in mining

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2007-08-15

    AcuMine is a spin-out company from CRC Mining Australia and the University of Sydney's Australian Centre for Field Robotics (ACFR). Its focus is to provide safety and fatigue management in mining environments. The AcuLine Haul Check system was its first development. Of greater benefit to safety in mines will be the AcuMine Proximity System (APPS) developed to reliably detect and warn drivers when in proximity to other trucks and utility vehicles and to detect personnel near to those heavy vehicles. 6 figs.

  9. Applying Web Usage Mining for Personalizing Hyperlinks in Web-Based Adaptive Educational Systems

    Science.gov (United States)

    Romero, Cristobal; Ventura, Sebastian; Zafra, Amelia; de Bra, Paul

    2009-01-01

    Nowadays, the application of Web mining techniques in e-learning and Web-based adaptive educational systems is increasing exponentially. In this paper, we propose an advanced architecture for a personalization system to facilitate Web mining. A specific Web mining tool is developed and a recommender engine is integrated into the AHA! system in…

  10. Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems

    NARCIS (Netherlands)

    Romero, C.; Ventura, S.; Zafra, A.; Bra, de P.M.E.

    2009-01-01

    Nowadays, the application of Web mining techniques in e-learning and Web-based adaptive educational systems is increasing exponentially. In this paper, we propose an advanced architecture for a personalization system to facilitate Web mining. A specific Web mining tool is developed and a recommender

  11. Context matters!

    DEFF Research Database (Denmark)

    Bojesen, Anders

    2004-01-01

    for granted and unproblematic, although it is agreed to be of great importance. By crystallising three different modes of contextualised competence thinking (prescriptive, descriptive and analytical) the paper shows that the underlying assumptions about context - the interaction between the individual...... and the social - has major consequences for the specific enactment of competence. The paper argues in favour of a second order observation strategy for the context of competence. But in doing so it also shows that prevailing second-order competence theories so far, in criticising (counter) positions (and...

  12. Cleaner Production in the mining

    International Nuclear Information System (INIS)

    Pinto Martinez, Elias

    2004-01-01

    systematic process, which is not applied once, but permanently, in each one of the phases of the cycle of life. In this context, the cleanest technology is only an integral, but partial element, inside the concept of cleaner production, since this includes other elements like the attitudes and practical managerial of continuous improvement of the environmental administration. In other words it is looked for to prevent and to minimize the impacts and risks efficiently to the human beings and the environment, guaranteeing the environmental protection, the economic growth, the social well-being and the managerial competitiveness, starting from introducing the environmental dimension in the productive sectors, as an it challenged of long term. Inside the limits related with mining the politics of cleaner production is contemplated that seeks to give a mark not directed toward the rational and sustainable exploitation of the natural resources renewable with the reinforcement and articulation of the tools and instruments of sectoral character. The cleanest production has been able to be internalized in the new Mines Code, that establishes the objective in its first article it contemplates that its use (of minerals) it is not carried out in form harmonica with the principles and norms of rational exploitation of the natural resources renewable and of the atmosphere, inside an integral concept of sustainable development and of the economic and social invigoration of the country. In the politics' s of cleaner production development it has occurred special impulse to the development of the environmental centers miner as a half appropriate of technological transfer that with investigation, development and diffusion of technical and technologies of clean production, mainly in the auriferous mining that they can enlarge their services to other minerals, they look for to diminish the technical and technological limitations that have made of the exploitation of the mineral resources, a

  13. Economics of mine water treatment

    OpenAIRE

    Dvořáček, Jaroslav; Vidlář, Jiří; Štěrba, Jiří; Heviánková, Silvie; Vaněk, Michal; Barták, Pavel

    2012-01-01

    Mine water poses a significant problem in lignite coal mining. The drainage of mine water is the fundamental prerequisite of mining operations. Under the legislation of the Czech Republic, mine water that discharges into surface watercourse is subject to the permission of the state administration body in the water management sector. The permission also stipulates the limits for mine water pollution. Therefore, mine water has to be purified prior to discharge. Although all...

  14. Process mining data science in action

    CERN Document Server

    van der Aalst, Wil

    2016-01-01

    The first to cover this missing link between data mining and process modeling, this book provides real-world techniques for monitoring and analyzing processes in real time. It is a powerful new tool destined to play a key role in business process management.

  15. Querying and Mining Strings Made Easy

    KAUST Repository

    Sahli, Majed; Mansour, Essam; Kalnis, Panos

    2017-01-01

    that allows StarQL implementations to handle large sets of strings and utilize large computing infrastructures. Our evaluation shows that StarQL is able to express workloads of application-specific tools, such as BLAST and KAT in bioinformatics, and to mine

  16. Antimicrobials of Bacillus species: mining and engineering

    NARCIS (Netherlands)

    Zhao, Xin

    2016-01-01

    Bacillus sp. have been successfully used to suppress various bacterial and fungal pathogens. Due to the wide availability of whole genome sequence data and the development of genome mining tools, novel antimicrobials are being discovered and updated,;not only bacteriocins, but also NRPs and PKs. A

  17. Process mining in the large : a tutorial

    NARCIS (Netherlands)

    Aalst, van der W.M.P.; Zimányi, E.

    2014-01-01

    Recently, process mining emerged as a new scientific discipline on the interface between process models and event data. On the one hand, conventional Business Process Management (BPM) and Workflow Management (WfM) approaches and tools are mostly model-driven with little consideration for event data.

  18. A Data Mining Classification Approach for Behavioral Malware Detection

    Directory of Open Access Journals (Sweden)

    Monire Norouzi

    2016-01-01

    Full Text Available Data mining techniques have numerous applications in malware detection. Classification method is one of the most popular data mining techniques. In this paper we present a data mining classification approach to detect malware behavior. We proposed different classification methods in order to detect malware based on the feature and behavior of each malware. A dynamic analysis method has been presented for identifying the malware features. A suggested program has been presented for converting a malware behavior executive history XML file to a suitable WEKA tool input. To illustrate the performance efficiency as well as training data and test, we apply the proposed approaches to a real case study data set using WEKA tool. The evaluation results demonstrated the availability of the proposed data mining approach. Also our proposed data mining approach is more efficient for detecting malware and behavioral classification of malware can be useful to detect malware in a behavioral antivirus.

  19. Data mining, mining data : energy consumption modelling

    Energy Technology Data Exchange (ETDEWEB)

    Dessureault, S. [Arizona Univ., Tucson, AZ (United States)

    2007-09-15

    Most modern mining operations are accumulating large amounts of data on production and business processes. Data, however, provides value only if it can be translated into information that appropriate users can utilize. This paper emphasized that a new technological focus should emerge, notably how to concentrate data into information; analyze information sufficiently to become knowledge; and, act on that knowledge. Researchers at the Mining Information Systems and Operations Management (MISOM) laboratory at the University of Arizona have created a method to transform data into action. The data-to-action approach was exercised in the development of an energy consumption model (ECM), in partnership with a major US-based copper mining company, 2 software companies, and the MISOM laboratory. The approach begins by integrating several key data sources using data warehousing techniques, and increasing the existing level of integration and data cleaning. An online analytical processing (OLAP) cube was also created to investigate the data and identify a subset of several million records. Data mining algorithms were applied using the information that was isolated by the OLAP cube. The data mining results showed that traditional cost drivers of energy consumption are poor predictors. A comparison was made between traditional methods of predicting energy consumption and the prediction formed using data mining. Traditionally, in the mines for which data were available, monthly averages of tons and distance are used to predict diesel fuel consumption. However, this article showed that new information technology can be used to incorporate many more variables into the budgeting process, resulting in more accurate predictions. The ECM helped mine planners improve the prediction of energy use through more data integration, measure development, and workflow analysis. 5 refs., 11 figs.

  20. Description of basic mining legal principles.

    Science.gov (United States)

    Schmidt, Reinhard

    2014-01-01

    The Federal Mining Act manages access, via the system of mining concessions, to areas free for mining natural resources that do not belong to the surface property and deposits' owner. These cover especially important natural resources for the economy, including coal, ore, salt, crude oil and natural gas, and also terrestrial heat. For mining operations there exist, however, the same decrees for natural resources in the property of the surface owners, which are predominantly higher-value industrial minerals such as roofing slate, basalt, quartz sand, and clays for the fireproofing industry. In the case of mining laws, administrative procedures such as issuing mining concessions, approving operating plans, and issuing permits or licenses to explore according to water rights or the Federal Immission Control Act, those authorities and departments in whose remit the projects fall are dealt with by the Mining Authority. This means that the Mining Authority is the only state point of contact for the applicant, essentially an "all-in-one" service as it will itself instigate any further participation procedures required. The classic licensing procedure of mining is the operations plan procedure, whereby the operator submits an operating plan to the Mining Authority, which then examines it to ensure it fulfills mandatory legal safety objectives. If necessary these safety objectives can be met during licensing of the operating plans by stipulating additional requirements, Depending on the subject and validity period there are overall operating plans having the widest possible remit with comprehensive participation by the authorities and basic operating plans that form the basis for every mining works. There are also special operating plans, which owing to the dynamics of mining, resolve matters that suddenly become necessary or when the basic operating plans as originally conceived were not relevant. The closing-down operating plan is the designated tool for closing down

  1. Data mining for ontology development.

    Energy Technology Data Exchange (ETDEWEB)

    Davidson, George S.; Strasburg, Jana (Pacific Northwest National Laboratory, Richland, WA); Stampf, David (Brookhaven National Laboratory, Upton, NY); Neymotin,Lev (Brookhaven National Laboratory, Upton, NY); Czajkowski, Carl (Brookhaven National Laboratory, Upton, NY); Shine, Eugene (Savannah River National Laboratory, Aiken, SC); Bollinger, James (Savannah River National Laboratory, Aiken, SC); Ghosh, Vinita (Brookhaven National Laboratory, Upton, NY); Sorokine, Alexandre (Oak Ridge National Laboratory, Oak Ridge, TN); Ferrell, Regina (Oak Ridge National Laboratory, Oak Ridge, TN); Ward, Richard (Oak Ridge National Laboratory, Oak Ridge, TN); Schoenwald, David Alan

    2010-06-01

    A multi-laboratory ontology construction effort during the summer and fall of 2009 prototyped an ontology for counterfeit semiconductor manufacturing. This effort included an ontology development team and an ontology validation methods team. Here the third team of the Ontology Project, the Data Analysis (DA) team reports on their approaches, the tools they used, and results for mining literature for terminology pertinent to counterfeit semiconductor manufacturing. A discussion of the value of ontology-based analysis is presented, with insights drawn from other ontology-based methods regularly used in the analysis of genomic experiments. Finally, suggestions for future work are offered.

  2. 21 Recipes for Mining Twitter

    CERN Document Server

    Russell, Matthew

    2011-01-01

    Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to: Use OAuth to access Twitter dataCreate and analyze graphs of retweet relationshipsUse the streaming API to harvest tweets in realtimeHarvest and analyze friends and followers

  3. Hardening Stratum, the Bitcoin Pool Mining Protocol

    Directory of Open Access Journals (Sweden)

    Recabarren Ruben

    2017-07-01

    Full Text Available Stratum, the de-facto mining communication protocol used by blockchain based cryptocurrency systems, enables miners to reliably and efficiently fetch jobs from mining pool servers. In this paper we exploit Stratum’s lack of encryption to develop passive and active attacks on Bitcoin’s mining protocol, with important implications on the privacy, security and even safety of mining equipment owners. We introduce StraTap and ISP Log attacks, that infer miner earnings if given access to miner communications, or even their logs. We develop BiteCoin, an active attack that hijacks shares submitted by miners, and their associated payouts. We build BiteCoin on WireGhost, a tool we developed to hijack and surreptitiously maintain Stratum connections. Our attacks reveal that securing Stratum through pervasive encryption is not only undesirable (due to large overheads, but also ineffective: an adversary can predict miner earnings even when given access to only packet timestamps. Instead, we devise Bedrock, a minimalistic Stratum extension that protects the privacy and security of mining participants. We introduce and leverage the mining cookie concept, a secret that each miner shares with the pool and includes in its puzzle computations, and that prevents attackers from reconstructing or hijacking the puzzles.

  4. Sustainable mining, local communities and environmental regulation

    Directory of Open Access Journals (Sweden)

    Kokko Kai

    2015-12-01

    Full Text Available Sustainable mining is an objective as well as a tool for balancing economic, social, and environmental considerations. Each of these three dimensions of mining – and sustainable development – has many components, some of which were chosen for closer study in the SUMILCERE project. While there is no single component that in itself provides a definitive argument for or against sustainable mining, the research reveals some that have proven valuable in the process of balancing the different dimensions of sustainability. In the SUMILCERE project, comparative studies enabled us to identify factors such as the following, which are essential when discussing the balancing in practice of the three dimensions of sustainable mining cited above: the framework and functionality of environmental regulation to protect the environment (environmental sustainability; competitiveness of the mining industry in light of environmental regulation and its enforcement (economic sustainability; public participation and the opportunities local communities have to influence their surroundings, as well as communities’ acceptance of projects (social sustainability before and during operations; and the protection of Sámi cultural rights in mining projects (social and cultural sustainability. Although each of the three dimensions of sustainability leaves room for discretion in the weight assigned to it, ecological sustainability, protected by smart environmental regulation and minimum standards, sets essential boundaries that leave no room for compromises. Economic and social sustainability are possible only within these limits. Details of the analyses in the Kolarctic area and accounts of the methods used can befound in the cited SUMILCERE articles.

  5. Collaborative Data Mining

    Science.gov (United States)

    Moyle, Steve

    Collaborative Data Mining is a setting where the Data Mining effort is distributed to multiple collaborating agents - human or software. The objective of the collaborative Data Mining effort is to produce solutions to the tackled Data Mining problem which are considered better by some metric, with respect to those solutions that would have been achieved by individual, non-collaborating agents. The solutions require evaluation, comparison, and approaches for combination. Collaboration requires communication, and implies some form of community. The human form of collaboration is a social task. Organizing communities in an effective manner is non-trivial and often requires well defined roles and processes. Data Mining, too, benefits from a standard process. This chapter explores the standard Data Mining process CRISP-DM utilized in a collaborative setting.

  6. Coal mine site reclamation

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2013-02-15

    Coal mine sites can have significant effects on local environments. In addition to the physical disruption of land forms and ecosystems, mining can also leave behind a legacy of secondary detrimental effects due to leaching of acid and trace elements from discarded materials. This report looks at the remediation of both deep mine and opencast mine sites, covering reclamation methods, back-filling issues, drainage and restoration. Examples of national variations in the applicable legislation and in the definition of rehabilitation are compared. Ultimately, mine site rehabilitation should return sites to conditions where land forms, soils, hydrology, and flora and fauna are self-sustaining and compatible with surrounding land uses. Case studies are given to show what can be achieved and how some landscapes can actually be improved as a result of mining activity.

  7. Treating mine water

    Energy Technology Data Exchange (ETDEWEB)

    Matlak, E S; Kochegarova, L V; Zaslavskaya, I Yu

    1980-10-01

    Taking into account the negative influence of mine waters with suspended matter on the natural environment on the surface, the maximum treatment of mine water underground, is proposed. It is noted that full treatment of mine water, using conventional filtration methods, would be rather expensive, but a limited treatment of mine water is possible. Such treated mine water can be used in dust suppression and fire fighting systems. Mine water treated underground should be free of any odor, with pH level ranging from 6 to 9.5, with suspended matter content not exceeding 50 mg/l and coli-titre not less than 300 cm$SUP$3. It is suggested that water treatment to produce water characterized by these parameters is possible and economical. Recommendations on construction of underground sedimentation tanks and channels, and a hydraulic system of cleaning sedimentation tanks are proposed. The settling would be stored underground in abandoned workings. (2 refs.) (In Russian)

  8. Mine waste management legislation. Gold mining areas in Romania

    Science.gov (United States)

    Maftei, Raluca-Mihaela; Filipciuc, Constantina; Tudor, Elena

    2014-05-01

    as possible any adverse effects on the environment, in particular water, air, soil, fauna, flora and landscape, and any health risks to the population, arising as a result of waste management in extractive industries". Based on the Commission decision 2009/339/EC concerning the waste management facilities - classification criteria - Romanian Government issued GO 2042/2010 witch states the procedures for approving the plan of waste management in extractive industries and its applications norms. Law No. 22/2001 fallows the regulations from the Espoo Convention on assessing the impact of mining on the environment sector in a cross-border context. This work is presented within the framework of SUSMIN project.

  9. Treatment of mine-water from decommissioning uranium mines

    International Nuclear Information System (INIS)

    Fan Quanhui

    2002-01-01

    Treatment methods for mine-water from decommissioning uranium mines are introduced and classified. The suggestions on optimal treatment methods are presented as a matter of experience with decommissioned Chenzhou Uranium Mine

  10. Implementation of Paste Backfill Mining Technology in Chinese Coal Mines

    Science.gov (United States)

    Chang, Qingliang; Zhou, Huaqiang; Bai, Jianbiao

    2014-01-01

    Implementation of clean mining technology at coal mines is crucial to protect the environment and maintain balance among energy resources, consumption, and ecology. After reviewing present coal clean mining technology, we introduce the technology principles and technological process of paste backfill mining in coal mines and discuss the components and features of backfill materials, the constitution of the backfill system, and the backfill process. Specific implementation of this technology and its application are analyzed for paste backfill mining in Daizhuang Coal Mine; a practical implementation shows that paste backfill mining can improve the safety and excavation rate of coal mining, which can effectively resolve surface subsidence problems caused by underground mining activities, by utilizing solid waste such as coal gangues as a resource. Therefore, paste backfill mining is an effective clean coal mining technology, which has widespread application. PMID:25258737

  11. A mine of energy

    International Nuclear Information System (INIS)

    Fallon, M.

    1982-01-01

    In July 1978 the then Union Corporation (which is a wholly-owned Subsidiary of the larger Gencor Group) announced its intention to develop Beisa mine in the Orange Free State. They started up a medium sized uranium mine with gold as a by-product. The main idea was for the processing of uranium. The planning of the uranium recovery plant, the actual mining, and the recovery and extraction of uranium are discussed

  12. Uranium mining in Saskatchewan

    International Nuclear Information System (INIS)

    Scales, M.

    2006-01-01

    The mines of northern Saskatchewan make Canada the worlds leading uranium producer in Canada supplied 29% of global demand, or 11.60 million tonnes of the metal in 2004. Here are two bright ideas - how to mine an orebody by neither pit nor underground method, and how to mine high-grade ore without miners - that Cogema and Cameco are pursuing in the Athabasca Basin

  13. Towards Rare Itemset Mining

    OpenAIRE

    Szathmary , Laszlo; Napoli , Amedeo; Valtchev , Petko

    2007-01-01

    site de la conférence : http://ictai07.ceid.upatras.gr/; International audience; We describe here a general approach for rare itemset mining. While mining literature has been almost exclusively focused on frequent itemsets, in many practical situations rare ones are of higher interest (e.g., in medical databases, rare combinations of symptoms might provide useful insights for the physicians). Based on an examination of the relevant substructures of the mining space, our approach splits the ra...

  14. Partnership in mining

    Energy Technology Data Exchange (ETDEWEB)

    Haslam, R

    1988-04-01

    This paper discusses the benefits resulting from mutual cooperation and information exchange between the UK and USA coal industries. The aim of this cooperation is to promote safe and efficient extraction and profitable use of coal. Advanced mining technologies and mechanisation of the coal mines are some of the results of research cooperation between British Coal and the US Bureau of Mines. In addition, Britain has studied and put into good use the management styles, working practices and pay structure, and mining engineering adopted in the USA.

  15. Solution mining economics

    International Nuclear Information System (INIS)

    Hunkin, G.G.

    1980-01-01

    The field of application of in-situ solution mining of uranium is described and areas of competition with open pit and underground mining identified. The influence of high interest rates and dollar inflation on present values and rate of return is shown to be minimized by low capitalization and short construction lead times typical of in-situ leaching ventures. A scheme of three major project account divisions is presented and basic parameters necessary for mine planning are listed. 1979 cost ranges and useful methods of estimation of capital and operating costs are given for the in-situ uranium mining method

  16. Mining face equipment

    Energy Technology Data Exchange (ETDEWEB)

    G, Litvinskiy G; Babyuk, G V; Yakovenko, V A

    1981-01-07

    Mining face equipment includes drilling advance wells, drilling using explosives on the contour bore holes, loading and transporting the crushed mass, drilling reinforcement shafts, injecting reinforcement compounds and moving the timber. Camouflet explosives are used to form relaxed rock stress beyond the mining area to decrease costs of reinforcing the mining area by using nonstressed rock in the advance well as support. The strengthening solution is injected through advanced cementing wells before drilling the contour bores as well as through radial cementing wells beyond the timbers following loading and transport of the mining debris. The advance well is 50-80 m.

  17. The mines of Jackymov

    International Nuclear Information System (INIS)

    Ramsey, L.J.

    1985-01-01

    The history of the mines in the vicinity of Jackymov, a small town in Central Europe is given. These mines have been worked for several hundred years and from them has been brought forth a variety of products including silver, uranium and radium, the latter being isolated from Jackymov pitch-blende and identified by Marie Curie. The health effects of the miners mining radioactive ores are briefly discussed. The development of Jackymov as a spa resort using the mine water containing radium is also described. (U.K.)

  18. Uranium mining and milling

    International Nuclear Information System (INIS)

    Floeter, W.

    1976-01-01

    In this report uranium mining and milling are reviewed. The fuel cycle, different types of uranium geological deposits, blending of ores, open cast and underground mining, the mining cost and radiation protection in mines are treated in the first part of this report. In the second part, the milling of uranium ores is treated, including process technology, acid and alkaline leaching, process design for physical and chemical treatment of the ores, and the cost. Each chapter is clarified by added figures, diagrams, tables, and flowsheets. (HK) [de

  19. Mine ventilation engineering

    Energy Technology Data Exchange (ETDEWEB)

    Hall, C.J.

    1981-01-01

    This book on mine ventilation covers psychometrics, airflow through roadways and ducts, natural ventilation, fans, instruments, ventilation surveys, auxiliary ventilation, air quality, and planning and economics.

  20. Responsible Mining: A Human Resources Strategy for Mine Development Project

    OpenAIRE

    Sampathkumar, Sriram (Ram)

    2012-01-01

    Mining is a global industry. Most mining companies operate internationally, often in remote, challenging environments and consequently frequently have respond to unusual and demanding Human Resource (HR) requirements. It is my opinion that the strategic imperative behind success in mining industry is responsible mining. The purpose of this paper is to examine how an effective HR strategy can be a competitive advantage that contributes to the success of a mining project in the global mining in...

  1. Mining engineer requirements in a German coal mine

    Energy Technology Data Exchange (ETDEWEB)

    Rauhut, F J

    1985-10-01

    Basic developments in German coal mines, new definitions of working areas of mining engineers, and groups of requirements in education are discussed. These groups include: requirements of hard-coal mining at great depth and in extended collieries; application of process technology and information systems in semi-automated mines; thinking in processes and systems; organizational changes; future requirements of mining engineers; responsibility of the mining engineer for employees and society.

  2. Mine water management. Modification of the mine water management in the Ruhr district within the decommissioning of the hard coal mining; Grubenwasserhaltung. Aenderung der Grubenwasserhaltung im Ruhrrevier im Zuge der Stilllegung des Steinkohlenbergbaues

    Energy Technology Data Exchange (ETDEWEB)

    Terwelp, Tassilo [Bezirksregierung Arnsberg, Dortmund (Germany). Dezernat 63 - Zentrale Grubenwasserhaltung, Grubenwassernstieg, Schachtverfuellung

    2013-03-15

    Within the so-called Legacy Agreement regarding the overcoming of the burdens in perpetuity of the coal mining of the RAG AG (Herne, Federal Republic of Germany), the Federal States North Rhine-Westphalia (Federal Republic of Germany) and Saarland (Federal Republic of Germany) as well as the RAG Foundation (Essen, Federal Republic of Germany) have regulated the mine water drainage in the decommissioning of the mines. Under this aspect, the department 'Mining and energy in NRW' of the district government Arnsberg (Federal Republic of Germany) as the mining authority increasingly is concerned with the topic mine water in the Ruhr district. In this context, the district government Arnsberg is responsible for an organized mine water control after the withdrawal of the hard coal mining. The main aims of this are the protection of the surface area being mined and mine safety aspects. As part of the withdrawal from the deposit, the rise of the mine water level has to be planned and controlled carefully in order to avoid adverse impacts at the surface of the area to be mined.

  3. Sustainable Mining Environment: Technical Review of Post-mining Plans

    Directory of Open Access Journals (Sweden)

    Restu Juniah

    2017-12-01

    Full Text Available The mining industry exists because humans need mining commodities to meet their daily needs such as motor vehicles, mobile phones, electronic equipment and others. Mining commodities as mentioned in Government Regulation No. 23 of 2010 on Implementation of Mineral and Coal Mining Business Activities are radioactive minerals, metal minerals, nonmetallic minerals, rocks and coal. Mineral and coal mining is conducted to obtain the mining commodities through production operations. Mining and coal mining companies have an obligation to ensure that the mining environment in particular after the post production operation or post mining continues. The survey research aims to examine technically the post-mining plan in coal mining of PT Samantaka Batubara in Indragiri Hulu Regency of Riau Province towards the sustainability of the mining environment. The results indicate that the post-mining plan of PT Samantaka Batubara has met the technical aspects required in post mining planning for a sustainable mining environment. Postponement of post-mining land of PT Samantaka Batubara for garden and forest zone. The results of this study are expected to be useful and can be used by stakeholders, academics, researchers, practitioners and associations of mining, and the environment.

  4. Environmental consequences of the Retsof Salt Mine roof collapse

    Science.gov (United States)

    Yager, Richard M.

    2013-01-01

    In 1994, the largest salt mine in North America, which had been in operation for more than 100 years, catastrophically flooded when the mine ceiling collapsed. In addition to causing the loss of the mine and the mineral resources it provided, this event formed sinkholes, caused widespread subsidence to land, caused structures to crack and subside, and changed stream flow and erosion patterns. Subsequent flooding of the mine drained overlying aquifers, changed the groundwater salinity distribution (rendering domestic wells unusable), and allowed locally present natural gas to enter dwellings through water wells. Investigations including exploratory drilling, hydrologic and water-quality monitoring, geologic and geophysical studies, and numerical simulation of groundwater flow, salinity, and subsidence have been effective tools in understanding the environmental consequences of the mine collapse and informing decisions about management of those consequences for the future. Salt mines are generally dry, but are susceptible to leaks and can become flooded if groundwater from overlying aquifers or surface water finds a way downward into the mined cavity through hundreds of feet of rock. With its potential to flood the entire mine cavity, groundwater is a constant source of concern for mine operators. The problem is compounded by the viscous nature of salt and the fact that salt mines commonly lie beneath water-bearing aquifers. Salt (for example halite or potash) deforms and “creeps” into the mined openings over time spans that range from years to centuries. This movement of salt can destabilize the overlying rock layers and lead to their eventual sagging and collapse, creating permeable pathways for leakage of water and depressions or openings at land surface, such as sinkholes. Salt is also highly soluble in water; therefore, whenever water begins to flow into a salt mine, the channels through which it flows increase in diameter as the surrounding salt dissolves

  5. Management of the water balance and quality in mining areas

    Science.gov (United States)

    Pasanen, Antti; Krogerus, Kirsti; Mroueh, Ulla-Maija; Turunen, Kaisa; Backnäs, Soile; Vento, Tiia; Veijalainen, Noora; Hentinen, Kimmo; Korkealaakso, Juhani

    2015-04-01

    Although mining companies have long been conscious of water related risks they still face environmental management problems. These problems mainly emerge because mine sites' water balances have not been adequately assessed in the stage of the planning of mines. More consistent approach is required to help mining companies identify risks and opportunities related to the management of water resources in all stages of mining. This approach requires that the water cycle of a mine site is interconnected with the general hydrologic water cycle. In addition to knowledge on hydrological conditions, the control of the water balance in the mining processes require knowledge of mining processes, the ability to adjust process parameters to variable hydrological conditions, adaptation of suitable water management tools and systems, systematic monitoring of amounts and quality of water, adequate capacity in water management infrastructure to handle the variable water flows, best practices to assess the dispersion, mixing and dilution of mine water and pollutant loading to receiving water bodies, and dewatering and separation of water from tailing and precipitates. WaterSmart project aims to improve the awareness of actual quantities of water, and water balances in mine areas to improve the forecasting and the management of the water volumes. The study is executed through hydrogeological and hydrological surveys and online monitoring procedures. One of the aims is to exploit on-line water quantity and quality monitoring for the better management of the water balances. The target is to develop a practical and end-user-specific on-line input and output procedures. The second objective is to develop mathematical models to calculate combined water balances including the surface, ground and process waters. WSFS, the Hydrological Modeling and Forecasting System of SYKE is being modified for mining areas. New modelling tools are developed on spreadsheet and system dynamics platforms to

  6. Mining robotics sensors

    CSIR Research Space (South Africa)

    Green, JJ

    2012-04-01

    Full Text Available of threedimensional cameras (SR 4000 and XBOX Kinect) and a thermal imaging sensor (FLIR A300) in order to create 3d thermal models of narrow mining stopes. This information can be used in determining the risk of rockfall in an underground mine, which is a major...

  7. Cementitious backfill in mining

    Energy Technology Data Exchange (ETDEWEB)

    Taute, A; Spice, J; Wingrove, A C [Van Niekerk, Kleyn Edwards (South Africa)

    1993-03-01

    This article describes the need for increased usage of backfill material in mining and presents some of the considerations for use of cemented materials. Laboratory test results obtained using a variety of cementitious binders and mine tailings are presented. 3 figs., 1 tab.

  8. Mining Department computer systems

    Energy Technology Data Exchange (ETDEWEB)

    1979-09-01

    Describes the main computer systems currently available, or being developed by the Mining Department of the UK National Coal Board. They are primarily for the use of mining and specialist engineers, but some of them have wider applications, particularly in the research and development and management statistics fields.

  9. Ghana - Mining and Development

    OpenAIRE

    Mohan, P.C.

    2004-01-01

    The objectives of the project ($9.37 million, 1996-2001) were to (a) enhance the capacity of the mining sector institutions to carry out their functions of encouraging and regulating investments in the mining sector in an environmentally sound manner and (b) support the use of techniques and mechanisms that will improve productivity, financial viability and reduce the environmental impact of ...

  10. Northeast Church Rock Mine

    Science.gov (United States)

    Northeast Church Rock Mine, a former uranium mine 17 miles northeast of Gallup, NM in the Pinedale Chapter of the Navajo Nation. EPA is working with NNEPA to oversee cleanup work by United Nuclear Corporation, a company owned by General Electric (GE).

  11. Distributed genetic process mining

    NARCIS (Netherlands)

    Bratosin, C.C.; Sidorova, N.; Aalst, van der W.M.P.

    2010-01-01

    Process mining aims at discovering process models from data logs in order to offer insight into the real use of information systems. Most of the existing process mining algorithms fail to discover complex constructs or have problems dealing with noise and infrequent behavior. The genetic process

  12. Data mining and model adaptation for the land use and land cover classification of a Worldview 2 image

    Science.gov (United States)

    Nascimento, L. C.; Cruz, C. B. M.; Souza, E. M. F. R.

    2013-10-01

    Forest fragmentation studies have increased since the last 3 decades. Land use and land cover maps (LULC) are important tools for this analysis, as well as other remote sensing techniques. The object oriented analysis classifies the image according to patterns as texture, color, shape, and context. However, there are many attributes to be analyzed, and data mining tools helped us to learn about them and to choose the best ones. In this way, the aim of this paper is to describe data mining techniques and results of a heterogeneous area, as the municipality of Silva Jardim, Rio de Janeiro, Brazil. The municipality has forest, urban areas, pastures, water bodies, agriculture and also some shadows as objects to be represented. Worldview 2 satellite image from 2010 was used and LULC classification was processed using the values that data mining software has provided according to the J48 method. Afterwards, this classification was analyzed, and the verification was made by the confusion matrix, being possible to evaluate the accuracy (58,89%). The best results were in classes "water" and "forest" which have more homogenous reflectance. Because of that, the model has been adapted, in order to create a model for the most homogeneous classes. As result, 2 new classes were created, some values and some attributes changed, and others added. In the end, the accuracy was 89,33%. It is important to highlight this is not a conclusive paper; there are still many steps to develop in highly heterogeneous surfaces.

  13. Data mining for service

    CERN Document Server

    2014-01-01

    Virtually all nontrivial and modern service related problems and systems involve data volumes and types that clearly fall into what is presently meant as "big data", that is, are huge, heterogeneous, complex, distributed, etc. Data mining is a series of processes which include collecting and accumulating data, modeling phenomena, and discovering new information, and it is one of the most important steps to scientific analysis of the processes of services.  Data mining application in services requires a thorough understanding of the characteristics of each service and knowledge of the compatibility of data mining technology within each particular service, rather than knowledge only in calculation speed and prediction accuracy. Varied examples of services provided in this book will help readers understand the relation between services and data mining technology. This book is intended to stimulate interest among researchers and practitioners in the relation between data mining technology and its application to ...

  14. African mining '91

    International Nuclear Information System (INIS)

    1991-01-01

    The second 'African Mining' conference was held in June 1991, and followed the first event held in May 1987. That full four-year period was characterized by substantial changes in the political and economic climate of many countries in both hemispheres. The results of many of these changing facets of our industry are described in the papers in African Mining'91. Many of the papers deal with advances in technology, which is the main reason for the meeting. There are 37 papers under the headings general, mining, metallurgy and geology and exploration. Most papers are concerned with gold, copper and mineral mining. One paper concerning uranium mining operations in Namibia is indexed separately. (author)

  15. Decision support methods for the environmental assessment of contamination at mining sites.

    Science.gov (United States)

    Jordan, Gyozo; Abdaal, Ahmed

    2013-09-01

    Polluting mine accidents and widespread environmental contamination associated with historic mining in Europe and elsewhere has triggered the improvement of related environmental legislation and of the environmental assessment and management methods for the mining industry. Mining has some unique features such as natural background pollution associated with natural mineral deposits, industrial activities and contamination located in the three-dimensional sub-surface space, the problem of long-term remediation after mine closure, problem of secondary contaminated areas around mine sites and abandoned mines in historic regions like Europe. These mining-specific problems require special tools to address the complexity of the environmental problems of mining-related contamination. The objective of this paper is to review and evaluate some of the decision support methods that have been developed and applied to mining contamination. In this paper, only those methods that are both efficient decision support tools and provide a 'holistic' approach to the complex problem as well are considered. These tools are (1) landscape ecology, (2) industrial ecology, (3) landscape geochemistry, (4) geo-environmental models, (5) environmental impact assessment, (6) environmental risk assessment, (7) material flow analysis and (8) life cycle assessment. This unique inter-disciplinary study should enable both the researcher and the practitioner to obtain broad view on the state-of-the-art of decision support methods for the environmental assessment of contamination at mine sites. Documented examples and abundant references are also provided.

  16. How air quality can be monitored in an underground uranium mine

    International Nuclear Information System (INIS)

    Bigu, J.; Gangal, M.; Knight, G.

    1983-01-01

    The mining of uranium ores in underground uranium mines releases and produces a great variety of substances which readily become airborne, posing a potential health hazard to occupational workers. The substances are either released, or their 'normal' rate of release when no mining activity is present is increased as a consequence of certain mining operations, including blasting, drilling, and mucking. They may also be produced as a result of the use of tools, artifacts, and machinery utilized in mining operations. This paper reports on parallel measurements of radiation, dust and meteorological variables during several mining operations in a Canadian underground mine. Measurements were conducted at three uranium mines for a combined period of several weeks

  17. Radioecological challenges for mining

    Energy Technology Data Exchange (ETDEWEB)

    Vesterbacka, P.; Ikaeheimonen, T.K.; Solatie, D. [Radiation and Nuclear Safety Authority (Finland)

    2014-07-01

    In Finland, mining became popular in the mid-1990's when the mining amendments to the law made the mining activities easier for foreign companies. Also the price of the minerals rose and mining in Finland became economically profitable. Expanding mining industry brought new challenges to radiation safety aspect since radioactive substances occur in nearly all minerals. In Finnish soil and bedrock the average crystal abundance of uranium and thorium are 2.8 ppm and 10 ppm, respectively. It cannot be predicted beforehand how radionuclides behave in the mining processes which why they need to be taken into account in mining activities. Radiation and Nuclear Safety Authority (STUK) has given a national guide ST 12.1 based on the Finnish Radiation Act. The guide sets the limits for radiation doses to the public also from mining activities. In general, no measures to limit the radiation exposure are needed, if the dose from the operation liable to cause exposure to natural radiation is no greater than 0.1 mSv per year above the natural background radiation dose. If the exposure of the public may be higher than 0.1 mSv per year, the responsible party must provide STUK a plan describing the measures by which the radiation exposure is to be kept as low as is reasonably achievable. In that case the mining company responsible company has to make a radiological baseline study. The baseline study must focus on the environment that the mining activities may impact. The study describes the occurrence of natural radioactivity in the environment before any mining activities are started. The baseline study lasts usually for two to three years in natural circumstances. Based on the baseline study measurements, detailed information of the existing levels of radioactivity in the environment can be attained. Once the mining activities begin, it is important that the limits are set for the wastewater discharges to the environment and environmental surveillance in the vicinity of

  18. PubRunner: A light-weight framework for updating text mining results.

    Science.gov (United States)

    Anekalla, Kishore R; Courneya, J P; Fiorini, Nicolas; Lever, Jake; Muchow, Michael; Busby, Ben

    2017-01-01

    Biomedical text mining promises to assist biologists in quickly navigating the combined knowledge in their domain. This would allow improved understanding of the complex interactions within biological systems and faster hypothesis generation. New biomedical research articles are published daily and text mining tools are only as good as the corpus from which they work. Many text mining tools are underused because their results are static and do not reflect the constantly expanding knowledge in the field. In order for biomedical text mining to become an indispensable tool used by researchers, this problem must be addressed. To this end, we present PubRunner, a framework for regularly running text mining tools on the latest publications. PubRunner is lightweight, simple to use, and can be integrated with an existing text mining tool. The workflow involves downloading the latest abstracts from PubMed, executing a user-defined tool, pushing the resulting data to a public FTP or Zenodo dataset, and publicizing the location of these results on the public PubRunner website. We illustrate the use of this tool by re-running the commonly used word2vec tool on the latest PubMed abstracts to generate up-to-date word vector representations for the biomedical domain. This shows a proof of concept that we hope will encourage text mining developers to build tools that truly will aid biologists in exploring the latest publications.

  19. Economic and financial aspects of mine closure

    International Nuclear Information System (INIS)

    Kahn, James R.; Franceschi, Dina; Curi, Adilson; Vale, Eduardo

    2001-01-01

    Today, mine reclamation is a key component to a successful mine plan. Most of the industrialized nations have recognized the need to make mining activities relatively environmentally friendly, if they want to continue to benefit from the economic gains from mineral resource development. Countries such as the United States, Canada, Australia and South Africa are leaders in the field and have implemented relatively sophisticated legislation to ensure environmentally correct mine closure. These countries rely on a combination of strict control strategies and economic penalties to ensure compliance. Yet, from the firm's perspective, reclamation activities are counterproductive as they cut into properties. In order to attract economic development and earn much needed economic capital, most of the rest of the world, particularly the developing countries, lack effective mine closure legislation. The traditional command and control type of legislation that is sometimes used is either vague and therefore avoided, or not enforced appropriately, resulting in an undesirable level of environmental degradation. With the use of case studies from Brazil, this article shows that direct controls are effective in some instances and not in others. It proposes that economic and financial tools may be more effective than the traditional direct controls in getting firms to comply with environmental standards, particularly in developing countries where environmental compliance is more difficult to achieve. It explains the use of performance bonding as one type of economic incentive that has proven to be an effective environmental policy in mine planning and closure. The authors additionally push beyond the typical style of performance bonds to introduce a flexible bonding and insurance system that allows governments to maintain strict environmental standards but limits firms financial exposure during the mining process. Such a system learns from the successes of the industrialized

  20. Mining in the Federal Republic of Germany 2012. Mining industries and statistics. 64th year 2013. Documentation

    International Nuclear Information System (INIS)

    2013-11-01

    The annual report of the series ''The mining industry in the Federal Republic of Germany - Mountain Economics and Statistics'' is published by the Federal Ministry of Economics and Technology in cooperation with the mining authorities of the federal states. It contains comprehensive data of all production facilities of mining industry in Germany and describes the position of the German industry in the context of the overall economic development. The report shows an interest in local raw materials as well as on the international raw materials economy. Moreover, the present publication provides a detailed statistics section. [de

  1. Ideate about building green mine of uranium mining and metallurgy

    International Nuclear Information System (INIS)

    Shi Zuyuan

    2012-01-01

    Analysing the current situation of uranium mining and metallurgy; Setting up goals for green uranium mining and metallurgy, its fundamental conditions, Contents and measures. Putting forward an idea to combine green uranium mining and metallurgy with the state target for green mining, and keeping its own characteristics. (author)

  2. Data Mining and Machine Learning in Astronomy

    Science.gov (United States)

    Ball, Nicholas M.; Brunner, Robert J.

    We review the current state of data mining and machine learning in astronomy. Data Mining can have a somewhat mixed connotation from the point of view of a researcher in this field. If used correctly, it can be a powerful approach, holding the potential to fully exploit the exponentially increasing amount of available data, promising great scientific advance. However, if misused, it can be little more than the black box application of complex computing algorithms that may give little physical insight, and provide questionable results. Here, we give an overview of the entire data mining process, from data collection through to the interpretation of results. We cover common machine learning algorithms, such as artificial neural networks and support vector machines, applications from a broad range of astronomy, emphasizing those in which data mining techniques directly contributed to improving science, and important current and future directions, including probability density functions, parallel algorithms, Peta-Scale computing, and the time domain. We conclude that, so long as one carefully selects an appropriate algorithm and is guided by the astronomical problem at hand, data mining can be very much the powerful tool, and not the questionable black box.

  3. Statistical methods of estimating mining costs

    Science.gov (United States)

    Long, K.R.

    2011-01-01

    Until it was defunded in 1995, the U.S. Bureau of Mines maintained a Cost Estimating System (CES) for prefeasibility-type economic evaluations of mineral deposits and estimating costs at producing and non-producing mines. This system had a significant role in mineral resource assessments to estimate costs of developing and operating known mineral deposits and predicted undiscovered deposits. For legal reasons, the U.S. Geological Survey cannot update and maintain CES. Instead, statistical tools are under development to estimate mining costs from basic properties of mineral deposits such as tonnage, grade, mineralogy, depth, strip ratio, distance from infrastructure, rock strength, and work index. The first step was to reestimate "Taylor's Rule" which relates operating rate to available ore tonnage. The second step was to estimate statistical models of capital and operating costs for open pit porphyry copper mines with flotation concentrators. For a sample of 27 proposed porphyry copper projects, capital costs can be estimated from three variables: mineral processing rate, strip ratio, and distance from nearest railroad before mine construction began. Of all the variables tested, operating costs were found to be significantly correlated only with strip ratio.

  4. Textpresso Central: a customizable platform for searching, text mining, viewing, and curating biomedical literature.

    Science.gov (United States)

    Müller, H-M; Van Auken, K M; Li, Y; Sternberg, P W

    2018-03-09

    The biomedical literature continues to grow at a rapid pace, making the challenge of knowledge retrieval and extraction ever greater. Tools that provide a means to search and mine the full text of literature thus represent an important way by which the efficiency of these processes can be improved. We describe the next generation of the Textpresso information retrieval system, Textpresso Central (TPC). TPC builds on the strengths of the original system by expanding the full text corpus to include the PubMed Central Open Access Subset (PMC OA), as well as the WormBase C. elegans bibliography. In addition, TPC allows users to create a customized corpus by uploading and processing documents of their choosing. TPC is UIMA compliant, to facilitate compatibility with external processing modules, and takes advantage of Lucene indexing and search technology for efficient handling of millions of full text documents. Like Textpresso, TPC searches can be performed using keywords and/or categories (semantically related groups of terms), but to provide better context for interpreting and validating queries, search results may now be viewed as highlighted passages in the context of full text. To facilitate biocuration efforts, TPC also allows users to select text spans from the full text and annotate them, create customized curation forms for any data type, and send resulting annotations to external curation databases. As an example of such a curation form, we describe integration of TPC with the Noctua curation tool developed by the Gene Ontology (GO) Consortium. Textpresso Central is an online literature search and curation platform that enables biocurators and biomedical researchers to search and mine the full text of literature by integrating keyword and category searches with viewing search results in the context of the full text. It also allows users to create customized curation interfaces, use those interfaces to make annotations linked to supporting evidence statements

  5. Mining and mining authorities in Saarland 2016. Mining economy, mining technology, occupational safety, environmental protection, statistics, mining authority activities. Annual report

    International Nuclear Information System (INIS)

    2016-01-01

    The annual report of the Saarland Upper Mining Authority provides an insight into the activities of mining authorities. Especially, the development of the black coal mining, safety and technology of mining as well as the correlation between mining and environment are stressed.

  6. WEB STRUCTURE MINING USING PAGERANK, IMPROVED PAGERANK – AN OVERVIEW

    Directory of Open Access Journals (Sweden)

    V. Lakshmi Praba

    2011-03-01

    Full Text Available Web Mining is the extraction of interesting and potentially useful patterns and information from Web. It includes Web documents, hyperlinks between documents, and usage logs of web sites. The significant task for web mining can be listed out as Information Retrieval, Information Selection / Extraction, Generalization and Analysis. Web information retrieval tools consider only the text on pages and ignore information in the links. The goal of Web structure mining is to explore structural summary about web. Web structure mining focusing on link information is an important aspect of web data. This paper presents an overview of the PageRank, Improved Page Rank and its working functionality in web structure mining.

  7. The legalization of small scale mining in Colombia

    Directory of Open Access Journals (Sweden)

    Alexandra Urán

    2013-11-01

    Full Text Available The following article presents conceptual and analytical elements that allow us to broaden the debate about the legalization of the mining in Colombia. Looking for items to be able to propose alternatives in order to consolidate a new mining process socially and environmentally sustainable, claiming the value of the ancestral practices and forms of the redistributive production. To this end, it is necessary to start with the discussion of the concepts of formalization and legality, so that we can generate a theoretical framework that will allow us to explore such delicate matter, we will continue to make the framework socio-political, in which it is based that strategy. Then there is a brief context of thereformulation of legal mining, focusing our attention particularly standards which involves or has effects on artisanal mining and/or small-scale mining. There we will find ourselves with a debate on the typology of the mining and the current difficulties to define schemasof legalization or formalization of small-scale mining in Colombia. To conclude with a proposal to formalize as a mechanism of transition to an administrative system - legislativethat will connect more effectively with the realities and skills of the ethnic communities that practice small-scale mining.

  8. Validation of the Ventgraph program for use in metal/non-metal mines

    Energy Technology Data Exchange (ETDEWEB)

    Pritchard, C.J. [National Inst. for Occupational Safety and Health, Spokane, WA (United States)

    2010-07-01

    Ventgraph is a ventilation software developed by the Polish Academy of Sciences. It has features similar to other ventilation programs, such as network simulation and contaminant dispersal. Its additional capabilities include mine fire simulation, compressible flow modelling, and real-time on-screen visualization of mine ventilation and fire effects. For that reason, it has been widely used around the world for studying coal mine fires, fighting fires with inert gases, spontaneous combustion, and mine emergency exercises. Ventgraph has been used to a much lesser extent in metal/non-metal (M/NM) mines. The National Institute for Occupational Safety and Health has determined that the use of Ventgraph to hardrock mining methods would be beneficial for studying M/NM ventilation effects, mine evacuation training, risk analysis of potential mine ventilation changes, airborne contaminants, recirculation, and mine fires. Ventgraph was used to simulate the 1972 Sunshine Mine fire where 91 miners perished. The Sunshine Mine was chosen because of its deep, complex ventilation system. Calibration of Ventgraph's fire simulation module to known events of the fire showed close correlation to contaminant levels observed and real-time movement of fire combustion products through the mine. It was concluded that Ventgraph is a valuable tool for M/NM mine ventilation, fire, and evacuation planning. 13 refs., 3 figs.

  9. Mining toward the year 2000

    International Nuclear Information System (INIS)

    Anon.

    1981-01-01

    Mining in South Africa to this present day has not been a case of dramatic development, rather a steady technical progress, assisted by a rising product market price. Prominent men in the mining industry look at the future in terms of that logical development. Coverage is given to gold, mine unionization, coal, rock bursts, ventilation, uranium and ocean mining

  10. Open pit mining of uranium

    International Nuclear Information System (INIS)

    Wood, J.T.

    1977-01-01

    The Jackpile--Paquate Mines of the Anaconda Company are on the Laguna Indian Reservation midway between Grants and Albuquerque, New Mexico. The open pit mining of uranium ore at those mines is conducted in three separate operations (stripping, mining, and ore haul)

  11. Australian uranium mining policy

    International Nuclear Information System (INIS)

    Fisk, B.

    1985-01-01

    Australian government policy is explained in terms of adherence to the Non-Proliferation Treaty. Two alleged uncertainties are discussed: the future of Australian mining industry as a whole -on which it is said that Australian uranium mines will continue to be developed; and detailed commercial policy of the Australian government - on which it is suggested that the three-mines policy of limited expansion of the industry would continue. Various aspects of policy, applying the principles of the NPT, are listed. (U.K.)

  12. Mining on the Mesa

    Energy Technology Data Exchange (ETDEWEB)

    Sprouls, M.W.

    1994-10-01

    Peabody Western Coal Co. is the owner of Black Mesa and Kayenta coal opencast mines, both sited on Hopi and Navajo lands. 93% of the employees are native American, mostly Navajo. Kayenta is the larger and extracts coal with draglines. Sulphur content is high so the coal has to be analyzed and carefully blended before use. Black Mesa also uses draglines, here quality control is not as important as it is at Kayenta. Coal is transported to power stations using slurry pipelines. Both mines are heavily involved in land reclamation, leaving a landscape that makes better grazing than it did before mining. 2 figs.

  13. CANINE: a robotic mine dog

    Science.gov (United States)

    Stancil, Brian A.; Hyams, Jeffrey; Shelley, Jordan; Babu, Kartik; Badino, Hernán.; Bansal, Aayush; Huber, Daniel; Batavia, Parag

    2013-01-01

    Neya Systems, LLC competed in the CANINE program sponsored by the U.S. Army Tank Automotive Research Development and Engineering Center (TARDEC) which culminated in a competition held at Fort Benning as part of the 2012 Robotics Rodeo. As part of this program, we developed a robot with the capability to learn and recognize the appearance of target objects, conduct an area search amid distractor objects and obstacles, and relocate the target object in the same way that Mine dogs and Sentry dogs are used within military contexts for exploration and threat detection. Neya teamed with the Robotics Institute at Carnegie Mellon University to develop vision-based solutions for probabilistic target learning and recognition. In addition, we used a Mission Planning and Management System (MPMS) to orchestrate complex search and retrieval tasks using a general set of modular autonomous services relating to robot mobility, perception and grasping.

  14. Application of text mining in the biomedical domain.

    Science.gov (United States)

    Fleuren, Wilco W M; Alkema, Wynand

    2015-03-01

    In recent years the amount of experimental data that is produced in biomedical research and the number of papers that are being published in this field have grown rapidly. In order to keep up to date with developments in their field of interest and to interpret the outcome of experiments in light of all available literature, researchers turn more and more to the use of automated literature mining. As a consequence, text mining tools have evolved considerably in number and quality and nowadays can be used to address a variety of research questions ranging from de novo drug target discovery to enhanced biological interpretation of the results from high throughput experiments. In this paper we introduce the most important techniques that are used for a text mining and give an overview of the text mining tools that are currently being used and the type of problems they are typically applied for. Copyright © 2015 Elsevier Inc. All rights reserved.

  15. Text mining in cancer gene and pathway prioritization.

    Science.gov (United States)

    Luo, Yuan; Riedlinger, Gregory; Szolovits, Peter

    2014-01-01

    Prioritization of cancer implicated genes has received growing attention as an effective way to reduce wet lab cost by computational analysis that ranks candidate genes according to the likelihood that experimental verifications will succeed. A multitude of gene prioritization tools have been developed, each integrating different data sources covering gene sequences, differential expressions, function annotations, gene regulations, protein domains, protein interactions, and pathways. This review places existing gene prioritization tools against the backdrop of an integrative Omic hierarchy view toward cancer and focuses on the analysis of their text mining components. We explain the relatively slow progress of text mining in gene prioritization, identify several challenges to current text mining methods, and highlight a few directions where more effective text mining algorithms may improve the overall prioritization task and where prioritizing the pathways may be more desirable than prioritizing only genes.

  16. Determining change in managerial practices implementation readiness in a gold mine / Yolandie Jansen van Vuuren

    OpenAIRE

    Jansen van Vuuren, Yolandie

    2011-01-01

    Performance Effectiveness Appraisal, Performance Effectiveness Review as well as Coaching and training are crucial elements of the performance management process included in a set of managerial competencies required by managers in a deep level gold mine in South Africa. This dissertation provides a contemporary review of performance management and gold mining in a South African deep level gold mine context. It provides a theoretical framework for the processes of Performance Effectiveness ...

  17. Towards a sustainable mining law: geothermal, CO2 capture and geological storage?

    International Nuclear Information System (INIS)

    Lanoy, Laurence

    2013-01-01

    The author comments how the French mining code has been able to adapt itself to the development of new techniques such as geothermal power, CO 2 capture and storage in a context of environmental concerns. She comments how the mining code evolved towards a new concept of soil use and valorisation in relationship with the development of these techniques, and how the mining code has thus become a new actor in the field of renewable energies. Its reform is briefly discussed

  18. Selection of mining method for No.3 uranium ore body in the independent mining area at a uranium mine

    International Nuclear Information System (INIS)

    Ding Fulong; Ding Dexin; Ye Yongjun

    2010-01-01

    Mining operation in the existed mining area at a uranium mine is near completion and it is necessary to mine the No.3 uranium ore body in another mining area at the mine. This paper, based on the geological conditions, used analogical method for analyzing the feasible methods and the low cost and high efficiency mining method was suggested for the No.3 ore body in the independent mining area at the uranium mine. (authors)

  19. Automatic detection of referral patients due to retinal pathologies through data mining.

    Science.gov (United States)

    Quellec, Gwenolé; Lamard, Mathieu; Erginay, Ali; Chabouis, Agnès; Massin, Pascale; Cochener, Béatrice; Cazuguel, Guy

    2016-04-01

    With the increased prevalence of retinal pathologies, automating the detection of these pathologies is becoming more and more relevant. In the past few years, many algorithms have been developed for the automated detection of a specific pathology, typically diabetic retinopathy, using eye fundus photography. No matter how good these algorithms are, we believe many clinicians would not use automatic detection tools focusing on a single pathology and ignoring any other pathology present in the patient's retinas. To solve this issue, an algorithm for characterizing the appearance of abnormal retinas, as well as the appearance of the normal ones, is presented. This algorithm does not focus on individual images: it considers examination records consisting of multiple photographs of each retina, together with contextual information about the patient. Specifically, it relies on data mining in order to learn diagnosis rules from characterizations of fundus examination records. The main novelty is that the content of examination records (images and context) is characterized at multiple levels of spatial and lexical granularity: 1) spatial flexibility is ensured by an adaptive decomposition of composite retinal images into a cascade of regions, 2) lexical granularity is ensured by an adaptive decomposition of the feature space into a cascade of visual words. This multigranular representation allows for great flexibility in automatically characterizing normality and abnormality: it is possible to generate diagnosis rules whose precision and generalization ability can be traded off depending on data availability. A variation on usual data mining algorithms, originally designed to mine static data, is proposed so that contextual and visual data at adaptive granularity levels can be mined. This framework was evaluated in e-ophtha, a dataset of 25,702 examination records from the OPHDIAT screening network, as well as in the publicly-available Messidor dataset. It was successfully

  20. Responsible Development of Areva's Mining Activities - 2010 Report

    International Nuclear Information System (INIS)

    2011-07-01

    Areva's mining activities place it among the world leaders in uranium production. The main objective of Areva's mining activities is ensuring uranium supply over the long term to produce nuclear power while emitting less CO 2 , reducing risks to people and the environment and contributing to the development of areas where mining activities take place. Areva's mining activities span five continents. This diversified portfolio allows the group to carry out exploration, project development and production activities in various geopolitical and technological contexts with the support of its staff's multi-cultural backgrounds. This document is the first Responsible Development report of Areva's Mining Activities. Content: 1 - All about Areva's Mining Activities (Interview with Sebastien de Montessus, General Director of Areva's Mining Activities, Ongoing Progress, The Core of Areva's Mining Activities Work); 2 - The Foundation of Areva's Mining Activities Approach (Values and Principles, Governance, Commitments); 3 - Reporting on Areva's Mining Activities (Scope, Relevance of Indicators, Outlook); 4 - Being a Responsible Mining Stakeholder (Actions, Reducing Industrial Risks, Ensuring the Protection of Workers and Populations, Consuming Water and Energy Resources in a Rational Way, Preserving Biodiversity, Managing Waste Rock and Mine Tailings over Time, Sustainable Presence, Contribution to Social Development); 5 - Glossary

  1. Advanced Data Mining of Leukemia Cells Micro-Arrays

    Directory of Open Access Journals (Sweden)

    Richard S. Segall

    2009-12-01

    Full Text Available This paper provides continuation and extensions of previous research by Segall and Pierce (2009a that discussed data mining for micro-array databases of Leukemia cells for primarily self-organized maps (SOM. As Segall and Pierce (2009a and Segall and Pierce (2009b the results of applying data mining are shown and discussed for the data categories of microarray databases of HL60, Jurkat, NB4 and U937 Leukemia cells that are also described in this article. First, a background section is provided on the work of others pertaining to the applications of data mining to micro-array databases of Leukemia cells and micro-array databases in general. As noted in predecessor article by Segall and Pierce (2009a, micro-array databases are one of the most popular functional genomics tools in use today. This research in this paper is intended to use advanced data mining technologies for better interpretations and knowledge discovery as generated by the patterns of gene expressions of HL60, Jurkat, NB4 and U937 Leukemia cells. The advanced data mining performed entailed using other data mining tools such as cubic clustering criterion, variable importance rankings, decision trees, and more detailed examinations of data mining statistics and study of other self-organized maps (SOM clustering regions of workspace as generated by SAS Enterprise Miner version 4. Conclusions and future directions of the research are also presented.

  2. Text mining with R a tidy approach

    CERN Document Server

    Silge, Julia

    2017-01-01

    Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective. The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You'll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media. Learn how to apply the tidy text format to NLP Use sentiment analysis to mine the emotional content of text Identify a document's most important terms with frequency measurements E...

  3. Security Measures in Data Mining

    OpenAIRE

    Anish Gupta; Vimal Bibhu; Rashid Hussain

    2012-01-01

    Data mining is a technique to dig the data from the large databases for analysis and executive decision making. Security aspect is one of the measure requirement for data mining applications. In this paper we present security requirement measures for the data mining. We summarize the requirements of security for data mining in tabular format. The summarization is performed by the requirements with different aspects of security measure of data mining. The performances and outcomes are determin...

  4. The Traversella mining site as Piedmont geosite

    Science.gov (United States)

    Costa, Emanuele; Benna, Piera; Antonella Dino, Giovanna; Rossetti, Piergiorgio

    2017-04-01

    room and canteens, etc..); such signs are the tangible trace of a remarkable industrial activity, which can be considered as cultural heritage of historical industrial activities ("industrial archeology"). To enrich such cultural heritage, a museum for minerals and mining tools exposition is still active. Furthermore, to evidence the importance of Traversella mining site, outstanding mineralogical samples coming from Traversella area are displayed in the most famous museum all over the world. The present research aims at emphasize the extraordinary importance of this mining site both from a scientific and a historical point of view, examining the methods and the amount of production during the last three centuries, and highlighting how these activities contributed to the industrial development of the surrounding area and of the whole Piedmont Region. We also want to illustrate the sociological and environmental impact of mining activities at regional level, highlighting the importance of the site from a geoturistic point of view, thanks to of the cultural exploitation of the mining site remains, the developing and upgrade of the already existing mining museum, and the organization of geoturistic itinerary.

  5. Mining activities at Neyveli

    International Nuclear Information System (INIS)

    Boopathy, P.V.; Rathinavel, R.

    1993-01-01

    Mining activities at lignite areas around Neyveli are described. Measures taken to safeguard the environment from despoliation of land, air pollution, noise pollution and effluents are described. (M.G.B.)

  6. Radiation in mines

    International Nuclear Information System (INIS)

    Rose, H.J.M.

    1982-01-01

    Radiation in mines is primarily associated with, but not restricted to, the exploitation of uranium bearing orebodies. The intent of this chapter is to convey some aspects of radiation control in the mining industry, the behaviour of the parent radon and its daughter products. An attempt was made to demonstrate that anything less than complete diligence by the ventilation personnel could result in rapid deterioration of the mine environment, and consequently high exposure rates. When the maximum annual exposure limit is 4,0 WLM (Working level month exposure) the ventilation official is not allowed the privilege of making an error. Ventilation planning in uranium mines is of prime importance and is very much a group involvement

  7. Pumps in mining

    Energy Technology Data Exchange (ETDEWEB)

    1979-01-01

    This article looks at the pump industry as a whole, its historical links with the mining industry, their parallel develop ment, and at the individual manufacturers and pumps, services and auxillary products they have to offer.

  8. Acid Mine Drainage Treatment

    National Research Council Canada - National Science Library

    Fripp, Jon

    2000-01-01

    .... Acid mine drainage (AMD) can have severe impacts to aquatic resources, can stunt terrestrial plant growth and harm wetlands, contaminate groundwater, raise water treatment costs, and damage concrete and metal structures...

  9. Automatic identification in mining

    Energy Technology Data Exchange (ETDEWEB)

    Puckett, D; Patrick, C [Mine Computers and Electronics Inc., Morehead, KY (United States)

    1998-06-01

    The feasibility of monitoring the locations and vital statistics of equipment and personnel in surface and underground mining operations has increased with advancements in radio frequency identification (RFID) technology. This paper addresses the use of RFID technology, which is relatively new to the mining industry, to track surface equipment in mine pits, loading points and processing facilities. Specific applications are discussed, including both simplified and complex truck tracking systems and an automatic pit ticket system. This paper concludes with a discussion of the future possibilities of using RFID technology in mining including monitoring heart and respiration rates, body temperatures and exertion levels; monitoring repetitious movements for the study of work habits; and logging air quality via personnel sensors. 10 refs., 5 figs.

  10. Uranium mines of Tajikistan

    International Nuclear Information System (INIS)

    Razykov, Z.A; Gusakov, E.G.; Marushenko, A.A.; Botov, A.Yu.; Yunusov, M.M.

    2002-12-01

    The book describes location laws, the main properties of geological structure and industrial perspectives for known uranium mines of the Republic of Tajikistan. Used methods of industrial processing of uranium mines are described. The results of investigations of technological properties of main types of uranium ores and methods of industrial processing of some of them are shown. Main properties of uranium are shortly described as well as problems, connected with it, which arise during exploitation, mining and processing of uranium ores. The main methods of solution of these problems are shown. The book has interest for specialists of mining, geological, chemical, and technological fields as well as for students of appropriate universities. This book will be interested for usual reader, too, if they are interested in mineral resources of their country [ru

  11. Acid mine drainage

    Science.gov (United States)

    Bigham, Jerry M.; Cravotta, Charles A.

    2016-01-01

    Acid mine drainage (AMD) consists of metal-laden solutions produced by the oxidative dissolution of iron sulfide minerals exposed to air, moisture, and acidophilic microbes during the mining of coal and metal deposits. The pH of AMD is usually in the range of 2–6, but mine-impacted waters at circumneutral pH (5–8) are also common. Mine drainage usually contains elevated concentrations of sulfate, iron, aluminum, and other potentially toxic metals leached from rock that hydrolyze and coprecipitate to form rust-colored encrustations or sediments. When AMD is discharged into surface waters or groundwaters, degradation of water quality, injury to aquatic life, and corrosion or encrustation of engineered structures can occur for substantial distances. Prevention and remediation strategies should consider the biogeochemical complexity of the system, the longevity of AMD pollution, the predictive power of geochemical modeling, and the full range of available field technologies for problem mitigation.

  12. Scalable Frequent Subgraph Mining

    KAUST Repository

    Abdelhamid, Ehab

    2017-01-01

    Given an input graph, the Frequent Subgraph Mining (FSM) task finds all subgraphs with frequencies exceeding a given threshold. FSM is crucial for graph analysis, and it is an essential building block in a variety

  13. Ensemble Data Mining Methods

    Data.gov (United States)

    National Aeronautics and Space Administration — Ensemble Data Mining Methods, also known as Committee Methods or Model Combiners, are machine learning methods that leverage the power of multiple models to achieve...

  14. Coal mine subsidence

    International Nuclear Information System (INIS)

    Rahall, N.J.

    1991-05-01

    This paper examines the efficacy of the Department of the Interior's Office of Surface Mining Reclamation and Enforcement's (OSMRE) efforts to implement the federally assisted coal mine subsidence insurance program. Coal mine subsidence, a gradual settling of the earth's surface above an underground mine, can damage nearby land and property. To help protect property owners from subsidence-related damage, the Congress passed legislation in 1984 authorizing OSMRE to make grants of up to $3 million to each state to help the states establish self-sustaining, state-administered insurance programs. Of the 21 eligible states, six Colorado, Indiana, Kentucky, Ohio, West Virginia, and Wyoming applied for grants. This paper reviews the efforts of these six states to develop self-sustaining insurance programs and assessed OSMRE's oversight of those efforts

  15. Data Stream Mining

    Science.gov (United States)

    Gaber, Mohamed Medhat; Zaslavsky, Arkady; Krishnaswamy, Shonali

    Data mining is concerned with the process of computationally extracting hidden knowledge structures represented in models and patterns from large data repositories. It is an interdisciplinary field of study that has its roots in databases, statistics, machine learning, and data visualization. Data mining has emerged as a direct outcome of the data explosion that resulted from the success in database and data warehousing technologies over the past two decades (Fayyad, 1997,Fayyad, 1998,Kantardzic, 2003).

  16. Coal Mines Security System

    OpenAIRE

    Ankita Guhe; Shruti Deshmukh; Bhagyashree Borekar; Apoorva Kailaswar; Milind E.Rane

    2012-01-01

    Geological circumstances of mine seem to be extremely complicated and there are many hidden troubles. Coal is wrongly lifted by the musclemen from coal stocks, coal washeries, coal transfer and loading points and also in the transport routes by malfunctioning the weighing of trucks. CIL —Coal India Ltd is under the control of mafia and a large number of irregularities can be contributed to coal mafia. An Intelligent Coal Mine Security System using data acquisition method utilizes sensor, auto...

  17. Applied data mining

    CERN Document Server

    Xu, Guandong

    2013-01-01

    Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas.

  18. Ventilation of uranium mines

    International Nuclear Information System (INIS)

    Francois, Y.; Pradel, J.; Zettwoog, P.; Dumas, M.

    1975-01-01

    In the first part of the paper the authors describe the ventilation of French mines in terms of the primary ventilation system, which brings the outside air close to the working places using the overall structure of the mine to form the airways, and the secondary ventilation system, which is for the distribution of the primary air or for the ventilation of the development drifts and blind tunnels. Brief mention is made of the French regulations on the ventilation of mines in general and uranium mines in particular. The authors describe the equipment used and discuss the installed capacities and air flow per man and per working place. The difficulties encountered in properly ventilating various types of working places are mentioned, such as sub-level development drifts, reinforced stopes, and storage chambers with an artificial crown. The second part of the paper is devoted to computer calculations of the primary ventilation system. It is explained why the Commissariat a l'energie atomique has found it necessary to make these calculations. Without restating the mathematical theories underlying the methods employed, the authors demonstrate how simple measuring instruments and a small-size computer can be used to solve the ventilation problems arising in French mines. Emphasis is given to the layout of the ventilation system and to air flow and negative pressure measurements at the base of the mine. The authors show how calculations can be applied to new heading operations, a change in resistance, the replacement or addition of a ventilator, and a new air inlet or outlet. The authors come to the conclusion that since ventilation is at present the most reliable way of avoiding the pollution of mines, a thorough knowledge of the capabilities in this respect can often help improve working conditions. Despite the progress made, however, constant surveillance of the ventilation systems in uranium mines by a separate team with no responsibility for production problems is

  19. Robotics for mining control

    Energy Technology Data Exchange (ETDEWEB)

    1986-11-01

    In 1982 surveys of the mining industry revealed no applications of robotics existed and none were planned. This report provides a general overview of automation in the mining industry since this point in time. Roof control electronics, gas monitoring, jumbo drill automation, remote and sensor- controlled continuous miners, automated trolley trucks, roof bolting and screening machines are examples of technology available today. The report concludes with recommendations as to six potential research areas. 25 refs.

  20. Ventilation of uranium mines

    International Nuclear Information System (INIS)

    Francois, Y.; Pradel, J.; Zettwoog, P.; Dumas, M.

    1975-01-01

    In the first part of the paper the authors describe the ventilation of French mines in terms of the primary ventilation system, which brings the outside air close to the working places using the overall structure of the mine to form the airways, and the secondary ventilation system, which is for the distribution of the primary air or for the ventilation of the development drifts and blind tunnels. Brief mention is made of the French regulations on the ventilation of mines in general and uranium mines in particular. The authors describe the equipment used and discuss the installed capacities and air flow per man and per working place. The difficulties encountered in properly ventilating various types of working places are mentioned, such as sublevel development drifts, reinforced stopes, and storage chambers with an artificial crown. The second part of the paper is devoted to computer calculations of the primary ventilation system. It is explained why the Commissariat a l'energie atomique has found it necessary to make these calculations. Without restating the mathematical theories underlying the methods employed, the authors demonstrate how simple measuring instruments and a small-size computer can be used to solve the ventilation problems arising in French mines. Emphasis is given to the layout of the ventilation system and to air flow and negative pressure measurements at the base of the mine. The authors show how calculations can be applied to new heading operations, a change in resistance, the replacement or addition of a ventilator, and a new air inlet or outlet. The authors come to the conclusion that since ventilation is at present the most reliable way of avoiding the pollution of mines, a thorough knowledge of the capabilities in this respect can often help improve working conditions. Despite the progress made, however, constant surveillance of the ventilation systems in uranium mines by a separate team with no responsibility for production problems is