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.

Measurement of the inclusive jet cross-section in proton--proton collisions at s√=7 TeV using 4.5 fb−1 of data with the ATLAS detector

The inclusive jet cross-section is measured in proton--proton collisions at a centre-of-mass energy of 7 TeV using a data set corresponding to an integrated luminosity of 4.5 fb−1 collected with the ATLAS detector at the Large Hadron Collider in 2011. Jets are identified using the anti-kt algorithm with radius parameter values of 0.4 and 0.6. The double-differential cross-sections are presented as a function of the jet transverse momentum and the jet rapidity, covering jet transverse momenta from 100 GeV to 2 TeV. Next-to-leading-order QCD calculations corrected for non-perturbative effects and electroweak effects, as well as Monte Carlo simulations with next-to-leading-order matrix elements interfaced to parton showering, are compared to the measured cross-sections. A quantitative comparison of the measured cross-sections to the QCD calculations using several sets of parton distribution functions is performed.

Search for the bb¯ decay of the Standard Model Higgs boson in associated (W/Z)H production with the ATLAS detector

A search for the bb¯ decay of the Standard Model Higgs boson is performed with the ATLAS experiment using the full dataset recorded at the LHC in Run 1. The integrated luminosities used from pp collisions at s√=7 and 8 TeV are 4.7 and 20.3 fb−1, respectively. The processes considered are associated (W/Z)H production, where W→eν/μν, Z→ee/μμ and Z→νν. The observed (expected) deviation from the background-only hypothesis corresponds to a significance of 1.4 (2.6) standard deviations and the ratio of the measured signal yield to the Standard Model expectation is found to be μ=0.52±0.32(stat.)±0.24(syst.) for a Higgs boson mass of 125.36 GeV. The analysis procedure is validated by a measurement of the yield of (W/Z)Z production with Z→bb¯ in the same final states as for the Higgs boson search, from which the ratio of the observed signal yield to the Standard Model expectation is found to be 0.74±0.09(stat.)±0.14(syst.).

Copper toxicity for Scinax ruber and Rhinella granulosa (Amphibia: Anura) of the Amazon: Potential of Biotic Ligand Model to predict toxicity in urban streams

In the last years many populations of anurans have declined and extinctions have been recorded. They were related to environmental pollution, changes of land use and emerging diseases. The main objective of this study was to determine copper sensitivity of the anuran of the Amazon Rhinella granulosa and Scinax ruber tadpoles at stage 25 and Scinax ruber eggs exposed for 96 h to copper concentrations ranging from 15 µg Cu L-1 to 94 µg Cu L-1. LC50 at 96 h of Rhinella granulosa Gosner 25, Scinax ruber Gosner 25 and Scinax ruber eggs in black water of the Amazon were 23.48, 36.37 and 50.02 µg Cu L-1, respectively. The Biotic Ligand Model was used to predict the LC50 values for these species and it can be considered a promising tool for these tropical species and water conditions. Copper toxicity depends on water physical-chemical composition and on the larval stage of the tadpoles. The Gosner stage 19-21 (related to the appearance of external gills) is the most vulnerable and the egg stage is the most resistant. In case of contamination by copper, the natural streams must have special attention, since copper is more bioavailable.

Erratum to: Measurement of the inclusive jet cross-section in proton-proton collisions at s√=7 TeV using 4.5 fb−1 of data with the ATLAS detector

It was found that the non-perturbative corrections calculated using Pythia with the Perugia 2011 tune did not include the effect of the underlying event. The affected correction factors were recomputed using the Pythia 6.427 generator. These corrections are applied as baseline to the NLO pQCD calculations and thus the central values of the theoretical predictions have changed by a few percent with the new corrections. This has a minor impact on the agreement between the data and the theoretical predictions. Figures 2 and 6 to 13, and all the tables have been updated with the new values. A few sentences in the discussion in sections 5.2 and 9 were altered or removed.

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.

Study of Coronary Flow Reserve with Intravenous Use of Microbubbles (Contrast Echocardiography) and Adenosine: Protocol for Clinical Application in Patients Suspected of Having Coronary Heart Disease

OBJECTIVE: To test the feasibility, safety and accuracy of the adenosine protocol in the study of myocardial perfusion with microbubbles contrast echocardiography. METHODS: 81 pts (64 male, 60+11 years) were submitted to contrast echocardiography with PESDA (sonicated solution of albumin 20%-1ml, dextrose 5%-12ml and deca-fluorobutane gas-8ml) to study the myocardial perfusion at rest and after bolus injection of adenosine (6 to 18mg) and to coronary angiography within 1 month each other. For each patient 3 left ventricle perfusion beds were considered (total of 243 territories). 208 territories were analyzed and 35 territories were excluded. PESDA was continuously infused (1-2ml/min), titrated for best myocardial contrast. Triggered (1:1) second harmonic imaging was used. RESULTS: Coronary angiography showed 70 flow limiting (> 75%) lesions and 138 no flow limiting lesions. At rest an obvious myocardium contrast enhancement was seen in at least 1 segment of a territory in all patients. After adenosine injection an unquestionable further increase in myocardial contrast was observed in 136 territories (99%) related to no flow limiting lesions, lasting < 10 s, and a myocardial perfusion defect was detected in 68 territories (97%) related to flow limiting lesions. It was observed only 4 false results. There were no serious complications. CONCLUSION: Myocardial perfusion study with PESDA and adenosine protocol is a practical, safe and accurate method to analyze the coronary flow reserve.

Contribution to an efficient transmission of information to the textile fashion consumer and the influence in sustainable attitudes

The concepts involved in sustainable textile fashion, demanding good knowledge about raw materials, processes, end use properties and circuits amongst others, are able to determine the way the textile product is designed and the behavior of the consumer, regarding life style and buying decisions. The textile product`s life integrates raw materials, their processing, distribution, use by the consumer and destination of the product after useful lifetime, this is, his complete life cycle. It is very important to recognize the power of the consumer to influence parameters related to sustainability, namely when he decides how, when and why he buys and afterwards by the attitudes taken during and after use. The conscious act of consumption involves ethical, ecological and technical knowledge in which the concern is overall lifecycle of the fashion product and not exclusively aesthetic and symbolic values strongly related with its ephemeral nature. The present work proposes the classification of textile products by means of an innovative label aiming to establish a rating related to the Life of Fashion Products, by using parameters considered with especial impact in lifecycle, as textile fibers, processing conditions, generated wastes, commercialization circuits, durability and cleaning procedures. This label for sustainable fashion products aims to assist the stakeholders with informed attitudes and correct decisions in order to promote the objectives of sustainable fashion near designers, consumers and industrial experts.

Rol de la infección bacteriana en el desarrollo y progresión del cáncer prostático. Influence of bacterial infection in the development and progression of prostatitic cancer.

En la patogénesis del cáncer, factores microambientales como la inflamación están estrechamente vinculados al desarrollo y crecimiento tumoral, sustentando la clásica hipótesis de Virchow del origen del cáncer en sitios de inflamación crónica, la cual incitaría a carcinogénesis por múltiples factores. Estudios previos en este laboratorio evidenciaron en un modelo de prostatitis bacteriana agudo con E. coli, profundos cambios estromales semejantes al "estroma reactivo", con predominio de miofibroblasto, que se genera en el cáncer. En correlación, existe abundante evidencia obtenida en modelos experimentales animales confirmando que el microambiente estromal en el cual se desarrollan los tumores epiteliales influencia profundamente la progresión tumoral. El rol protagónico del estroma del huésped en el crecimiento neoplásico, también se ha demostrado inoculando la misma línea tumoral en diferentes tejidos y analizando su comportamiento en comparación con su implantación en el sitio anatómico original del tumor (implante ortotópico); otro factor clave en la repuesta del huésped al tumor está dado por el infiltrado de células inmunes que puede favorecer o limitar el crecimiento tumoral de acuerdo al perfil de citoquinas que secreten. Teniendo en cuenta estos antecedentes, este proyecto tiene como Objetivo General estudiar la influencia de la infección bacteriana crónica en la inducción y evolución del cáncer prostático. Para ello trabajaremos in vivo con dos formas de formas de Tumores Prostáticos, un Tumor Inducido por combinación del carcinógeno N-methyl-N-nitrosourea (MNU) y testosterona; el segundo mediante Transplante Ortotópico de células tumorales prostáticas MAT-LU. En ambos modelos se inducirá previamente una prostatitis bacteriana, a fin de estudiar los efectos de la prostatitis en la inducción del tumor en el primer modelo, y en la implantación de las células tumorales en el segundo. También se inducirá prostatitis después de establecido el tumor por ambos procedimientos, a fin de determinar si la prostatitis bacteriana modula la progresión neoplásica. Finalmente, proponemos un modelo in vitro que permita estudiar la interacción tumor/estroma separado de la influencia del sistema inmune. A tal fin se utilizarán co-cultivos combinando células tumorales con estromales modificadas de diferente modo. La Inducción de Tumores Prostáticos se realizará en ratas de la cepa Wistar adultas, en las cuales se inducirán lesiones displásicas y neoplásicas siguiendo protocolos de carcinogénesis prostática por MNU, para lo cual es necesario el tratamiento previo con acetato de ciprosterona y propionato de testosterona, seguido por administración crónica de testosterona. Los estudios con Transplante Ortotópico de células tumorales se realizarán en ratas Copenhagen. La influencia de la infección bacteriana en el desarrollo tumoral será investigada inyectando E. coli intraprostáticamente: Se realizará Análisis Macroscópico, de Parámetros Morfológicos de las lesiones tumorales, grado de malignidad, extensión e invasión de las lesiones de acuerdo a consensos internacionales, y Bioquímicos mediante análisis de la expresión, por IHQ y WB, de fosfatasa ácida, citoqueratina 8, Prostatic Binding Protein, PTEN (gen supresor tumoral) y el receptor de Andrógenos, todos parámetros de actividad y de transformación celular. También se evaluará apoptosis por TUNEL y proliferación celular. Los cambios del compartimiento estromal en respuesta al implante tumoral y la influencia de la inflamación bacteriana se evaluarán mediante análisis morfológico e inmunocitoquímico, caracterizando el fenotipo de las poblaciones celulares con a-actina, vimentina, calponina y tenascina. Se espera que los resultados aporten evidencias acerca de las interacciones bidireccionales entre células neoplásicas prostáticas y su entorno estromal, que en un futuro puedan servir como base para establecr estrategias para prevenir y/o modificar el crecimiento neoplásico.

A comparative analysis of sustainable tourism, planning and development between Sligo and Donegal County Councils

Sustainable Development requires appropriate and continuous planning and management of economic, socio cultural and environmental resources. Tourism planning calls for continuous collaboration among tourism agencies, local authorities and local communities for success of the industry. While evidence suggests that tourism planning has been extensively documented, it is apparent that Donegal and Sligo County Councils have, in some cases failed to adequately address the significance of planning of the tourism industry for the North West of Ireland. This was investigated through interviews with chief planners of Donegal and Sligo county councils and was conducted in conjunction with the analysis of county development plans; which were formulated by both organisations involved in this study. Evidence suggests that although tourism is extensively documented by Donegal and Sligo county councils, neither of the two local authorities have developed implementation strategies to facilitate the promotion of sustainable tourism development. This research compares and analyses Donegal and Sligo county councils and how they plan for sustainable tourism development. It outlines the role of the county councils in relation to tourism planning and how Donegal and Sligo compare in how they plan for such a significant industry in the North West o f Ireland. It highlights the importance of implementation tools and methods and offers future directions that can assist in the development of sustainable tourism.