Sediment and pore water data of five cores from the continental slope off Uruguay

Assessing frequency and extent of mass movement at continental margins is crucial to evaluate risks for offshore constructions and coastal areas. A multidisciplinary approach including geophysical, sedimentological, geotechnical, and geochemical methods was applied to investigate multistage mass transport deposits (MTDs) off Uruguay, on top of which no surficial hemipelagic drape was detected based on echosounder data. Nonsteady state pore water conditions are evidenced by a distinct gradient change in the sulfate (SO4**2-) profile at 2.8 m depth. A sharp sedimentological contact at 2.43 m coincides with an abrupt downward increase in shear strength from approx. 10 to >20 kPa. This boundary is interpreted as a paleosurface (and top of an older MTD) that has recently been covered by a sediment package during a younger landslide event. This youngest MTD supposedly originated from an upslope position and carried its initial pore water signature downward. The kink in the SO4**2- profile approx. 35 cm below the sedimentological and geotechnical contact indicates that bioirrigation affected the paleosurface before deposition of the youngest MTD. Based on modeling of the diffusive re-equilibration of SO4**2- the age of the most recent MTD is estimated to be <30 years. The mass movement was possibly related to an earthquake in 1988 (approx. 70 km southwest of the core location). Probabilistic slope stability back analysis of general landslide structures in the study area reveals that slope failure initiation requires additional ground accelerations. Therefore, we consider the earthquake as a reasonable trigger if additional weakening processes (e.g., erosion by previous retrogressive failure events or excess pore pressures) preconditioned the slope for failure. Our study reveals the necessity of multidisciplinary approaches to accurately recognize and date recent slope failures in complex settings such as the investigated area.

Post discharge follow up of children on long term medication

Background: There have been no published studies observing what happens to children post hospital discharge and if medication discrepancies occurred between the hospital and General Practitioner (GP) interface.1 Objectives: To identify the type of discrepancies between hospital discharge prescription and the patient's medicines after their first GP prescription. Method: Over a 3 month period (March–June 2012) across two London NHS hospital sites, parents of children on long term medications aged 18 years and under, were approached and consented prior to discharge from the ward. The patients were followed up 21 days after discharge by telephone call or home visit depending on their preference. The parent was asked if they had contacted their GP for further medications during the follow up, and if not the follow up was rescheduled. The parents were interviewed to find out if there were any discrepancies that occurred post discharge by comparing the patient's hospital discharge letter and medication at follow up. All this information was captured on a data collection form. Results: Eighty-eight patients were consented and 60 patients (68%; 60/88) were followed up by telephone call 21 days post discharge. A total of 317 medications were ordered at discharge among the 60 patients. Of the 60 that were followed up, nine were lost to follow up, one died post discharge, one was excluded from the study, and 11 had not contacted the GP and were to be followed up at a later date. Of the 38 patients who were followed up, 254 medications were ordered. Of the 38 patients there were 12 (32%) patients who had discrepancies that occurred between the discharge letter and GP, 19 (50%) had no issues, and seven (18%) mentioned issues to do with post discharge that were not discrepancies. Of the 12 patients who had at least one medication discrepancy (total 34 medications, range 1–7 discrepancies per patient), six patients had GP discrepancies, four had discrepancies resulting from a hospital outpatient appointment, one related to the discharge letter order and one was a complex discrepancy. An example: a patient was discharged on amiodarone liquid 16.5 mg daily as opposed to 65 mg daily of amiodarone from the GP. Upon interview the parent used volume units to communicate dose as opposed to the actual dose itself and the strengths of liquid had changed. Conclusions: The preliminary results from the study have shown that discrepancies due to several causes occur when paediatric patients leave hospital.

Inter-site and inter-scanner diffusion MRI data harmonization.

We propose a novel method to harmonize diffusion MRI data acquired from multiple sites and scanners, which is imperative for joint analysis of the data to significantly increase sample size and statistical power of neuroimaging studies. Our method incorporates the following main novelties: i) we take into account the scanner-dependent spatial variability of the diffusion signal in different parts of the brain; ii) our method is independent of compartmental modeling of diffusion (e.g., tensor, and intra/extra cellular compartments) and the acquired signal itself is corrected for scanner related differences; and iii) inter-subject variability as measured by the coefficient of variation is maintained at each site. We represent the signal in a basis of spherical harmonics and compute several rotation invariant spherical harmonic features to estimate a region and tissue specific linear mapping between the signal from different sites (and scanners). We validate our method on diffusion data acquired from seven different sites (including two GE, three Philips, and two Siemens scanners) on a group of age-matched healthy subjects. Since the extracted rotation invariant spherical harmonic features depend on the accuracy of the brain parcellation provided by Freesurfer, we propose a feature based refinement of the original parcellation such that it better characterizes the anatomy and provides robust linear mappings to harmonize the dMRI data. We demonstrate the efficacy of our method by statistically comparing diffusion measures such as fractional anisotropy, mean diffusivity and generalized fractional anisotropy across multiple sites before and after data harmonization. We also show results using tract-based spatial statistics before and after harmonization for independent validation of the proposed methodology. Our experimental results demonstrate that, for nearly identical acquisition protocol across sites, scanner-specific differences can be accurately removed using the proposed method.

Resonance Energy Transfer-Based Molecular Switch Designed Using a Systematic Design Process Based on Monte Carlo Methods and Markov Chains

A RET network consists of a network of photo-active molecules called chromophores that can participate in inter-molecular energy transfer called resonance energy transfer (RET). RET networks are used in a variety of applications including cryptographic devices, storage systems, light harvesting complexes, biological sensors, and molecular rulers. In this dissertation, we focus on creating a RET device called closed-diffusive exciton valve (C-DEV) in which the input to output transfer function is controlled by an external energy source, similar to a semiconductor transistor like the MOSFET. Due to their biocompatibility, molecular devices like the C-DEVs can be used to introduce computing power in biological, organic, and aqueous environments such as living cells. Furthermore, the underlying physics in RET devices are stochastic in nature, making them suitable for stochastic computing in which true random distribution generation is critical.

In order to determine a valid configuration of chromophores for the C-DEV, we developed a systematic process based on user-guided design space pruning techniques and built-in simulation tools. We show that our C-DEV is 15x better than C-DEVs designed using ad hoc methods that rely on limited data from prior experiments. We also show ways in which the C-DEV can be improved further and how different varieties of C-DEVs can be combined to form more complex logic circuits. Moreover, the systematic design process can be used to search for valid chromophore network configurations for a variety of RET applications.

We also describe a feasibility study for a technique used to control the orientation of chromophores attached to DNA. Being able to control the orientation can expand the design space for RET networks because it provides another parameter to tune their collective behavior. While results showed limited control over orientation, the analysis required the development of a mathematical model that can be used to determine the distribution of dipoles in a given sample of chromophore constructs. The model can be used to evaluate the feasibility of other potential orientation control techniques.

L’environnement intérieur et l’autisme : un Centre de jour pour adultes

Ce mémoire présente et discute d’une problématique importante qui s’inscrit dans un contexte actuel, autant sur le plan international que local, puisqu’elle touche 1 enfant sur 68 (CDC, 2010). On parle ici du trouble du spectre de l’autisme (TSA). Plus spécifiquement, cette recherche se concentre sur les jeunes adultes autistes, qui du jour au lendemain, se retrouvent face à une interruption de services. Elle suggère qu’une adaptation adéquate de l’environnement soit davantage explorée en vue d’offrir des centres de jour adaptés à cette clientèle. La question de recherche est la suivante : Quels sont les éléments du design intérieur qui peuvent améliorer la qualité de vie des adultes autistes? Il est essentiel de s’y attarder, puisque les personnes TSA sont entre autres caractérisées par leur hypersensibilité et leur hyposensibilité face à l’environnement. Bien que le sujet de l’autisme soit richement documenté par le domaine des sciences médicales, il est apparu qu’il l’est moins par celui de l’aménagement. La stratégie méthodologique de cette recherche repose sur des analyses de précédents, des observations participantes ainsi que la tenue d’entretiens semi-dirigés auprès de parents d’enfants autistes. Cette étude vise simultanément l’amélioration de la compréhension de la pratique émergente du design comme moyen d’intervention ainsi que l’identification des facteurs (éclairages, couleurs, matériaux, division de l’espace, etc.) pouvant améliorer le bien-être des adultes autistes. Sur la base des données collectées, il a été remarqué qu’effectivement, plusieurs moyens peuvent être entrepris pour concevoir des environnements améliorant le bien-être de ces adultes. Les résultats extraits du terrain mènent à des propositions d’aménagement claires : rendre l’abstrait le plus concret possible, aménager des zones de retrait social, offrir une variété d’ambiances, et finalement, offrir un encadrement sécuritaire.

Mining the Online Social Network Data: Influence, Summarization, and Organization

Online Social Network (OSN) services provided by Internet companies bring people together to chat, share the information, and enjoy the information. Meanwhile, huge amounts of data are generated by those services (they can be regarded as the social media ) every day, every hour, even every minute, and every second. Currently, researchers are interested in analyzing the OSN data, extracting interesting patterns from it, and applying those patterns to real-world applications. However, due to the large-scale property of the OSN data, it is difficult to effectively analyze it. This dissertation focuses on applying data mining and information retrieval techniques to mine two key components in the social media data — users and user-generated contents. Specifically, it aims at addressing three problems related to the social media users and contents: (1) how does one organize the users and the contents? (2) how does one summarize the textual contents so that users do not have to go over every post to capture the general idea? (3) how does one identify the influential users in the social media to benefit other applications, e.g., Marketing Campaign? The contribution of this dissertation is briefly summarized as follows. (1) It provides a comprehensive and versatile data mining framework to analyze the users and user-generated contents from the social media. (2) It designs a hierarchical co-clustering algorithm to organize the users and contents. (3) It proposes multi-document summarization methods to extract core information from the social network contents. (4) It introduces three important dimensions of social influence, and a dynamic influence model for identifying influential users.

Age and growth, and reproductive data from two benthic (Trematomus bernacchii and Trematomus pennellii) and two pelagic (Pagothenia borchgrevinki and Trematomus newnesi) ice fishes from McMurdo Sound, Antarctica

Data on age, total length, total weight, gonad weight, gonadosomatic index (GSI), sex and reproductive stage for ice fish specimens collected along the sea ice gradient in McMurdo Sound, Antarctica. Species on which data are provided are; Trematomus bernacchii, Trematomus bernacchii, Pagothenia borchgrevinki and Trematomus newnesi. Location and year of collection is also included for each fish.

On the microstructure, growth pattern and original porosity of belemnite rostra: insights from calcitic Jurassic belemnites

Calcitic belemnite rostra are usually employed to perform paleoenvironmental studies based on geochemical data. However, several questions, such as their original porosity and microstructure, remain open, despite they are essential to make accurate interpretations based on geochemical analyses.This paper revisits and enlightens some of these questions. Petrographic data demonstrate that calcite crystals of the rostrum solidum of belemnites grow from spherulites that successively develop along the apical line, resulting in a “regular spherulithic prismatic” microstructure. Radially arranged calcite crystals emerge and diverge from the spherulites: towards the apex, crystals grow until a new spherulite is formed; towards the external walls of the rostrum, the crystals become progressively bigger and prismatic. Adjacent crystals slightly vary in their c-axis orientation, resulting in undulose extinction. Concentric growth layering develops at different scales and is superimposed and traversed by a radial pattern, which results in the micro-fibrous texture that is observed in the calcite crystals in the rostra.Petrographic data demonstrate that single calcite crystals in the rostra have a composite nature, which strongly suggests that the belemnite rostra were originally porous. Single crystals consistently comprise two distinct zones or sectors in optical continuity: 1) the inner zone is fluorescent, has relatively low optical relief under transmitted light (TL) microscopy, a dark-grey color under backscatter electron microscopy (BSEM), a commonly triangular shape, a “patchy” appearance and relatively high Mg and Na contents; 2) the outer sector is non-fluorescent, has relatively high optical relief under TL, a light-grey color under BSEM and low Mg and Na contents. The inner and fluorescent sectors are interpreted to have formed first as a product of biologically controlled mineralization during belemnite skeletal growth and the non-fluorescent outer sectors as overgrowths of the former, filling the intra- and inter-crystalline porosity. This question has important implications for making paleoenvironmental and/or paleoclimatic interpretations based on geochemical analyses of belemnite rostra.Finally, the petrographic features of composite calcite crystals in the rostra also suggest the non-classical crystallization of belemnite rostra, as previously suggested by other authors.

The relationship between vegetation and modern pollen assemblages on Mount Paggeo (NE Greece)

In this study, we investigated the relationship between vegetation and modern-pollen rain along the elevational gradient of Mount Paggeo. We apply multivariate data analysis to assess the relationship between vegetation and modern-pollen rain and quantify the representativeness of forest zones. This study represents the first statistical analysis of pollen-vegetation relationship along an elevational gradient in Greece. Hence, this paper improves confidence in interpretation of palynological records from north-eastern Greece and may refine past climate reconstructions for a more accurate comparison of data and modelling. Numerical classification and ordination were performed on pollen data to assess differences among plant communities that beech (Fagus sylvatica) dominates or co-dominates. The results show a strong relationship between altitude, arboreal cover, human impact and variations in pollen and nonpollen palynomorph taxa percentages.

The Effect of Legal Culture on the Development of International Evidentiary Practice: From the ‘Robing Room’ to the ‘Melting Pot’

This paper draws on some of the preliminary findings of a small pilot study which aimed to discover what evidentiary challenges a range of practitioners with experience of different international trials faced in the cases they were involved in, and what practices were developed to deal with these challenges. The findings in this study are based on the data collected from The Hague-based institutions, the ICC, the ICTY, the ICTY and ICTR Appeals Chamber, and the Special Tribunal for the Lebanon (STL). It is argued that professionals moving from institution to institution are engaged in a process of cross-pollination which itself influences the practices that develop, although a common understanding of certain evidentiary issues in international trials remains fragmented and at times elusive.

We need to talk about managerialism: On the Importance of values dialogue and renewal within Catholic schools

Whilst reports of value tensions between new managerialism and Catholic education have emerged as a key theme in the academic literature there remains little empirical understanding of how teachers negotiate these complex terrains in Catholic schools. Drawing on qualitative data from teachers in two Catholic post-primary schools in Northern Ireland, this paper sought to explore how Catholic teachers developed a distinctively Catholic ethos against a culture of ‘creeping managerialism’. The paper has shown that despite the predominance of managerial practices, tensions between managerialist values and the ‘Catholic ethos’ did not emerge in either context: in one school managerialism permeated the school and the Catholic ethos was constructed within this context. In the other school a staff process of spiritual renewal had consolidated a commitment to the Catholic faith and social inclusion. It was argued that the dialogical engagement around Catholic values may help Catholic schools defend against the harsher manifestations of managerialism without compromising the pupils’ capacity to realise their academic potential

Ten Questions for Future Regulation of Big Data: A Comparative and Empirical Legal Study

Much has been written about Big Data from a technical, economical, juridical and ethical perspective. Still, very little empirical and comparative data is available on how Big Data is approached and regulated in Europe and beyond. This contribution makes a first effort to fill that gap by presenting the reactions to a survey on Big Data from the Data Protection Authorities of fourteen European countries and a comparative legal research of eleven countries. This contribution presents those results, addressing 10 challenges for the regulation of Big Data.

Analysis of the Bovespa Futures and Spot Indexes With High Frequency Data. Chinese Business Review

Data from the World Federation of Exchanges show that Brazil’s Sao Paulo stock exchange is one of the largest worldwide in terms of market value. Thus, the objective of this study is to obtain univariate and bivariate forecasting models based on intraday data from the futures and spot markets of the BOVESPA index. The interest is to verify if there exist arbitrage opportunities in Brazilian financial market. To this end, three econometric forecasting models were built: ARFIMA, vector autoregressive (VAR), and vector error correction (VEC). Furthermore, it presents the results of a Granger causality test for the aforementioned series. This type of study shows that it is important to identify arbitrage opportunities in financial markets and, in particular, in the application of these models on data of this nature. In terms of the forecasts made with these models, VEC showed better results. The causality test shows that futures BOVESPA index Granger causes spot BOVESPA index. This result may indicate arbitrage opportunities in Brazil.

Decisions, decisions everywhere (in the open data era).

Abstract: Decision support systems have been widely used for years in companies to gain insights from internal data, thus making successful decisions. Lately, thanks to the increasing availability of open data, these systems are also integrating open data to enrich decision making process with external data. On the other hand, within an open-data scenario, decision support systems can be also useful to decide which data should be opened, not only by considering technical or legal constraints, but other requirements, such as "reusing potential" of data. In this talk, we focus on both issues: (i) open data for decision making, and (ii) decision making for opening data. We will first briefly comment some research problems regarding using open data for decision making. Then, we will give an outline of a novel decision-making approach (based on how open data is being actually used in open-source projects hosted in Github) for supporting open data publication. Bio of the speaker: Jose-Norberto Mazón holds a PhD from the University of Alicante (Spain). He is head of the "Cátedra Telefónica" on Big Data and coordinator of the Computing degree at the University of Alicante. He is also member of the WaKe research group at the University of Alicante. His research work focuses on open data management, data integration and business intelligence within "big data" scenarios, and their application to the tourism domain (smart tourism destinations). He has published his research in international journals, such as Decision Support Systems, Information Sciences, Data & Knowledge Engineering or ACM Transaction on the Web. Finally, he is involved in the open data project in the University of Alicante, including its open data portal at http://datos.ua.es

The MOOC Dashboard: Visualising MOOC data for everyone

Abstract Massive Open Online Courses (MOOCs) generate enormous amounts of data. The University of Southampton has run and is running dozens of MOOC instances. The vast amount of data resulting from our MOOCs can provide highly valuable information to all parties involved in the creation and delivery of these courses. However, analysing and visualising such data is a task that not all educators have the time or skills to undertake. The recently developed MOOC Dashboard is a tool aimed at bridging such a gap: it provides reports and visualisations based on the data generated by learners in MOOCs. Speakers Manuel Leon is currently a Lecturer in Online Teaching and Learning in the Institute for Learning Innovation and Development (ILIaD). Adriana Wilde is a Teaching Fellow in Electronics and Computer Science, with research interests in MOOCs and Learning Analytics. Darron Tang (4th Year BEng Computer Science) and Jasmine Cheng (BSc Mathematics & Actuarial Science and starting MSc Data Science shortly) have been working as interns over this Summer (2016) as have been developing the MOOC Dashboard.