El fin de la operación minera: implicaciones jurídicas desde lo ambiental y social

Algunos de los efectos ambientales y sociales que se pueden apreciar luego del cierre de una mina son la desaparición de acuíferos, la existencia de aguas superficiales contaminadas con sustancias químicas y la afectación a la salud de las personas que viven cerca de minas abandonadas. Esta investigación busca analizar los principales aspectos jurídicos relacionados con la terminación y cierre definitivo de la operación minera desde el punto de vista social y ambiental. Para ello, se presentan los principales efectos ambientales y sociales de ésta terminación; se mencionan los aspectos jurídicos más relevantes del contrato de concesión minera y de la licencia ambiental; se exponen las obligaciones jurídicas que están a cargo tanto del concesionario minero como de las autoridades competentes respecto del cierre de la mina y el papel que asumen los entes de control frente a la terminación y cierre de la mina. Así mismo, se hace un breve análisis de derecho comparado de la regulación en España y Estados Unidos sobre éste tema. Finalmente, se presentan los resultados de la revisión de los expedientes administrativos que fueron proporcionados por la Agencia Nacional de Minería, en los cuales se determina la aplicación y cumplimiento en la práctica de estas obligaciones jurídicas del concesionario minero al término del contrato. Con base a los resultados obtenidos, se puede concluir, en primer lugar, que las obligaciones a cargo de los concesionarios mineros no están claras por parte de la regulación minera y ambiental; en segundo lugar, que la regulación en cuanto al cierre de minas en España y Estados Unidos es más ordenada, completa y específica y; en tercer lugar, en relación con los expedientes analizados, se puede observar que los concesionarios y las autoridades competentes no están cumpliendo sus respectivas obligaciones.

Strained relations: a critical analysis of the mining conflict in Prestea, Ghana

This paper examines the dynamics of the ongoing conflict in Prestea, Ghana, where indigenous galamsey mining groups are operating illegally on a concession awarded to Bogoso Gold Limited (BGL), property of the Canadian-listed multinational Gold Star Resources. Despite being issued firm orders by the authorities to abandon their activities, galamsey leaders maintain that they are working areas of the concession that are of little interest to the company; they further counter that there are few alternative sources of local employment, which is why they are mining in the first place. Whilst the Ghanaian Government is in the process of setting aside plots to relocate illegal mining parties and is developing alternative livelihood projects, efforts are far from encouraging: in addition to a series of overlooked logistical problems, the areas earmarked for relocation have not yet been prospected to ascertain gold content, and the alternative income-earning activities identified are inappropriate. As has been the case throughout mineral-rich sub-Saharan Africa, the conflict in Prestea has come about largely because the national mining sector reform program, which prioritizes the expansion of predominantly foreign-controlled large-scale projects, has neglected the concerns of indigenous subsistence groups.

Moisture is required for the termination of egg diapause in the chrysomelid beetle, Homichloda barkeri

Four factors (moisture, light regime, temperature, food type) were examined for their effects on the embryonic diapause of Homichloda (Weiseana) barkeri (Jacoby) (Coleoptera: Chrysomelidae), a biocontrol agent for prickly acacia, Acacia nilotica (L.) Willdenew ex Delile (Mimosaceae). Moisture is critical for termination of diapause. A single wetting of eggs resulted in a low hatch rate while a sequence of wetting events followed by periods of dryness produced a high hatch rate. A relatively constant proportion of embryos within each batch initiated development at each wetting event, with hatching complete after the eighth wetting event in these trials. An extended interval between wetting events, tested at up to 23 days, did not result in a decreased overall hatch rate. A threshold time of exposure to moisture of between 3 to 6 h is required before development proceeds. The response of eggs to the moisture regime is seen as a strategy for taking advantage of available food after rainfall by terminating diapause, rather than merely a quiescent response to the absence of moisture. Temperature affected development time and the proportion of eggs that developed. Experimental manipulations of photoperiod and host-plant availability showed no effect on embryonic development.

It's all in the contract: Rethinking feminist critiques of contract

This article examines contemporary feminist arguments about contract. It does not aim to advance new arguments for or against contract but to call into question the dominant feminist position which is that contract has to be cast aside and/or that alternative approaches to contract have to be developed in order to advance the position of women. In a reworking of Elizabeth Kingdom's anti-essentialist approach to rights, Sullivan argues that a feminist but non-essentialist approach to contract is both possible and desirable. Sullivan explores a number of concrete situations in the Australian context where contract approaches have been deployed in law and public policy and demonstrates that contract may be detrimental or advantageous to the position of women. Sullivan argues, therefore, for a strategic and critical feminist approach to the utilisation of the language and practice of contract.

An architecture for an effective usage of data mining in business intelligence systems

Business Intelligence (BI) is one emergent area of the Decision Support Systems (DSS) discipline. Over the last years, the evolution in this area has been considerable. Similarly, in the last years, there has been a huge growth and consolidation of the Data Mining (DM) field. DM is being used with success in BI systems, but a truly DM integration with BI is lacking. Therefore, a lack of an effective usage of DM in BI can be found in some BI systems. An architecture that pretends to conduct to an effective usage of DM in BI is presented.

Towards a unified European electricity market: The contribution of data-mining to support realistic simulation studies

Worldwide electricity markets have been evolving into regional and even continental scales. The aim at an efficient use of renewable based generation in places where it exceeds the local needs is one of the main reasons. A reference case of this evolution is the European Electricity Market, where countries are connected, and several regional markets were created, each one grouping several countries, and supporting transactions of huge amounts of electrical energy. The continuous transformations electricity markets have been experiencing over the years create the need to use simulation platforms to support operators, regulators, and involved players for understanding and dealing with this complex environment. This paper focuses on demonstrating the advantage that real electricity markets data has for the creation of realistic simulation scenarios, which allow the study of the impacts and implications that electricity markets transformations will bring to the participant countries. A case study using MASCEM (Multi-Agent System for Competitive Electricity Markets) is presented, with a scenario based on real data, simulating the European Electricity Market environment, and comparing its performance when using several different market mechanisms.

The Role of Psychological Adjustment in the Decision-Making Process for Voluntary Termination of Pregnancy

BACKGROUND: This study's objective was to evaluate the role of psychological adjustment in the decision-making process to have an abortion and explore individual variables that might influence this decision. METHODS: In this cross-sectional study, we sequentially enrolled 150 women who made the decision to voluntarily terminate a pregnancy in Maternity Dr. Alfredo da Costa, in Lisbon, Portugal, between September 2008 and June 2009. The instruments were the Depression, Anxiety and Stress Scale (DASS), Satisfaction with Social Support Scale (SSSS), Emotional Assessment Scale (EAS), Decision Conflict Scale (DCS), and Beliefs and Values Questionnaire (BVQ). We analyzed the data using Student's T-tests, MANOVA, ANOVA, Tukey's post-hoc tests and CATPCA. Statistically significant effects were accepted for p<0.05. RESULTS: The participants found the decision difficult and emotionally demanding, although they also identified it as a low conflict decision. The prevailing emotions were sadness, fear and stress; but despite these feelings, the participants remained psychologically adjusted in the moment they decided to have an abortion. The resolution to terminate the pregnancy was essentially shared with supportive people and it was mostly motivated by socio-economic issues. The different beliefs and values found in this sample, and their possible associations are discussed. CONCLUSION: Despite high levels of stress, the women were psychologically adjusted at the time of making the decision to terminate the pregnancy. However, opposing what has been previously reported, the women presented high levels of sadness and fear, showing that this decision was hard to make, triggering disruptive emotions.

Predicting preterm birth in maternity care by means of data mining

Worldwide, around 9% of the children are born with less than 37 weeks of labour, causing risk to the premature child, whom it is not prepared to develop a number of basic functions that begin soon after the birth. In order to ensure that those risk pregnancies are being properly monitored by the obstetricians in time to avoid those problems, Data Mining (DM) models were induced in this study to predict preterm births in a real environment using data from 3376 patients (women) admitted in the maternal and perinatal care unit of Centro Hospitalar of Oporto. A sensitive metric to predict preterm deliveries was developed, assisting physicians in the decision-making process regarding the patients’ observation. It was possible to obtain promising results, achieving sensitivity and specificity values of 96% and 98%, respectively.

Rockburst laboratory tests database - Application of data mining techniques

Rockburst is characterized by a violent explosion of a block causing a sudden rupture in the rock and is quite common in deep tunnels. It is critical to understand the phenomenon of rockburst, focusing on the patterns of occurrence so these events can be avoided and/or managed saving costs and possibly lives. The failure mechanism of rockburst needs to be better understood. Laboratory experiments are undergoing at the Laboratory for Geomechanics and Deep Underground Engineering (SKLGDUE) of Beijing and the system is described. A large number of rockburst tests were performed and their information collected, stored in a database and analyzed. Data Mining (DM) techniques were applied to the database in order to develop predictive models for the rockburst maximum stress (σRB) and rockburst risk index (IRB) that need the results of such tests to be determined. With the developed models it is possible to predict these parameters with high accuracy levels using data from the rock mass and specific project.

Pervasive decision support to predict football corners and goals by means of data mining

Football is considered nowadays one of the most popular sports. In the betting world, it has acquired an outstanding position, which moves millions of euros during the period of a single football match. The lack of profitability of football betting users has been stressed as a problem. This lack gave origin to this research proposal, which it is going to analyse the possibility of existing a way to support the users to increase their profits on their bets. Data mining models were induced with the purpose of supporting the gamblers to increase their profits in the medium/long term. Being conscience that the models can fail, the results achieved by four of the seven targets in the models are encouraging and suggest that the system can help to increase the profits. All defined targets have two possible classes to predict, for example, if there are more or less than 7.5 corners in a single game. The data mining models of the targets, more or less than 7.5 corners, 8.5 corners, 1.5 goals and 3.5 goals achieved the pre-defined thresholds. The models were implemented in a prototype, which it is a pervasive decision support system. This system was developed with the purpose to be an interface for any user, both for an expert user as to a user who has no knowledge in football games.

Predicting triage waiting time in maternity emergency care by means of data mining

Healthcare organizations often benefit from information technologies as well as embedded decision support systems, which improve the quality of services and help preventing complications and adverse events. In Centro Materno Infantil do Norte (CMIN), the maternal and perinatal care unit of Centro Hospitalar of Oporto (CHP), an intelligent pre-triage system is implemented, aiming to prioritize patients in need of gynaecology and obstetrics care in two classes: urgent and consultation. The system is designed to evade emergency problems such as incorrect triage outcomes and extensive triage waiting times. The current study intends to improve the triage system, and therefore, optimize the patient workflow through the emergency room, by predicting the triage waiting time comprised between the patient triage and their medical admission. For this purpose, data mining (DM) techniques are induced in selected information provided by the information technologies implemented in CMIN. The DM models achieved accuracy values of approximately 94% with a five range target distribution, which not only allow obtaining confident prediction models, but also identify the variables that stand as direct inducers to the triage waiting times.

Application of data mining for assessment of material properties : creep behavior of high-temperature steels

Magdeburg, Univ., Fak. für Maschinenbau, Diss., 2009

A Seroprevalence Study of HIV among Childbearing Women and Women having Termination of Pregnancy, and a Discussion of HIV Testing Programmes for Pregnant Women including their Merits and Demerits

Ninety-one percent of antenatal clinic attenders and 97% of women having a termination of pregnancy agreed to HIV testing on a named or anonymous basis. HIV period prevalence's for Antenatal clinic attenders, and women having termination of pregnancy tested in Dundee were 0.13% and 0.85% respectively and for antenatal clinic attenders in Edinburgh, 0.26%. For those at "low risk", rates for antenatal clinic attenders and women having termination of pregnancy in Dundee were 0.11% and 0.13%, and for antenatal clinic attenders in Edinburgh, 0.02%. In dundee HIV prevalence among women having a termination of pregnancy (0.85%) was significantly greater (p< 0.001) than that among antenatal clinic attenders (0.13%). The investigation's findings show that HIV undoubtedly is occurring among women at "low risk" and it is clear that a policy of selective voluntary testing of those at "high risk" only, is inadequate for pregnant women living in areas of high prevalence such as Edinburgh and Dundee. Moreover, when studying pregnant populations in such areas there is a need to include those having a termination of pregnancy.This resource was contributed by The National Documentation Centre on Drug Use.