Environmental Impacts of the Deep-Water Oil and Gas Industry : A Review to Guide Management Strategies

The authors would like to thank the leadership of the Deep Ocean Stewardship Initiative (DOSI), including Lisa Levin, Maria Baker, and Kristina Gjerde, for their support in developing this review. This work evolved from a meeting of the DOSI Oil and Gas working group supported by the J.M. Kaplan Fund, and associated with the Deep-Sea Biology Symposium in Aveiro, Portugal in September 2015. The members of the Oil and Gas working group that contributed to our discussions at that meeting or through the listserve are acknowledged for their contributions to this work. We would also like to thank the three reviewers and the editor who provided valuable comments and insight into the work presented here. DJ and AD were supported by funding from the European Union's Horizon 2020 research and innovation programme under the MERCES (Marine Ecosystem Restoration in Changing European Seas) project, grant agreement No 689518. AB was supported by CNPq grants 301412/2013-8 and 200504/2015-0. LH acknowledges funding provided by a Natural Environment Research Council grant (NE/L008181/1). This output reflects only the authors' views and the funders cannot be held responsible for any use that may be made of the information contained therein.

Facteurs susceptibles d’influencer l'implantation de l'Échelle québécoise des niveaux de compétence en français des personnes immigrantes adultes et du Programme-cadre de français pour les personnes immigrantes adultes au Québec

La coexistence des services de francisation au Québec pour les personnes immigrantes adultes a fait l'objet de divers enjeux liés notamment au passage des apprenants d'un lieu de formation à un autre (Québec, MICC, 2011a). Dans le but de répondre à ces enjeux et d’harmoniser l'offre de services gouvernementaux en matière de francisation des adultes, le ministère de l'Immigration et des Communautés culturelles (MICC) a élaboré en collaboration avec le ministère de l'Éducation, du Loisir et du Sport (MELS), une innovation pédagogique, soit un référentiel commun québécois composé de deux instruments : l’Échelle québécoise des niveaux de compétence en français des personnes immigrantes adultes et le Programme-cadre de français pour les personnes immigrantes adultes au Québec. Le but de notre étude était de mieux comprendre l'implantation du référentiel commun québécois, de faire état des représentations du personnel enseignant en francisation vis-à-vis de cette innovation pédagogique et d’identifier les principaux facteurs qui structurent son implantation. Pour atteindre ces objectifs de recherche, nous avons mené une étude qualitative dans laquelle nous nous sommes appuyée sur le modèle d'implantation de Vince-Whitman (2009) qui identifie douze facteurs facilitant l’implantation d’une politique et d’une pratique. Nous avons accédé aux représentations de douze enseignantes et enseignants en francisation qui œuvrent au MICC et au MELS lors d’entretiens de groupe en leur permettant de s'exprimer sur leurs pratiques pédagogiques et sur leurs impressions du référentiel commun québécois. À l’aide du logiciel QSF NVivo 8, nous avons analysé le contenu des propos de nos participants de recherche. Nos résultats démontrent que le manque appréhendé de ressources – humaines, matérielles et financières, et un manque de temps, de formation et de collaboration professionnelle pourraient représenter des obstacles et nuire à une éventuelle implantation du référentiel commun québécois. À la lumière de ces résultats, nous proposons un cadre de référence composé de sept facteurs d’implantation d’une innovation pédagogique afin de mieux rendre compte d’une réalité spécifique et contemporaine, celle de l'implantation du référentiel commun québécois pour la francisation des immigrants adultes scolarisés. Les écrits scientifiques et nos résultats de recherche démontrent que de diverses formes de soutien, principalement du matériel pédagogique approprié et suffisant, peuvent constituer un facteur-clé dans la réussite de l’implantation d’une innovation pédagogique.

Understandings of transnational families in debates on Migration and development

International migration sets in motion a range of significant transnational processes that connect countries and people. How migration interacts with development and how policies might promote and enhance such interactions have, since the turn of the millennium, gained attention on the international agenda. The recognition that transnational practices connect migrants and their families across sending and receiving societies forms part of this debate. The ways in which policy debate employs and understands transnational family ties nevertheless remain underexplored. This article sets out to discern the understandings of the family in two (often intermingled) debates concerned with transnational interactions: The largely state and policydriven discourse on the potential benefits of migration on economic development, and the largely academic transnational family literature focusing on issues of care and the micro-politics of gender and generation. Emphasizing the relation between diverse migration-development dynamics and specific family positions, we ask whether an analytical point of departure in respective transnational motherhood, fatherhood or childhood is linked to emphasizing certain outcomes. We conclude by sketching important strands of inclusions and exclusions of family matters in policy discourse and suggest ways to better integrate a transnational family perspective in global migration-development policy.

RAGE Reusable Game Software Components and Their Integration into Serious Game Engines

This paper presents and validates a methodology for integrating reusable software components in diverse game engines. While conforming to the RAGE com-ponent-based architecture described elsewhere, the paper explains how the interac-tions and data exchange processes between a reusable software component and a game engine should be implemented for procuring seamless integration. To this end, a RAGE-compliant C# software component providing a difficulty adaptation routine was integrated with an exemplary strategic tile-based game “TileZero”. Implementa-tions in MonoGame, Unity and Xamarin, respectively, have demonstrated successful portability of the adaptation component. Also, portability across various delivery platforms (Windows desktop, iOS, Android, Windows Phone) was established. Thereby this study has established the validity of the RAGE architecture and its un-derlying interaction processes for the cross-platform and cross-game engine reuse of software components. The RAGE architecture thereby accommodates the large scale development and application of reusable software components for serious gaming.

D6.6 – Summary, Analysis, Road-mapping and Production of Training materials

This deliverable summarizes, validates and explains the purpose and concept behind the RAGE knowledge and innovation management platform as a self-sustainable Ecosystem, supporting innovation processes in the Applied Gaming (AG) industry. The Ecosystem portal will be developed with particular consideration of the demand and requirements of small and medium sized game developing companies, education providers and related stakeholders like AG researchers and AG end-users. The innovation potential of the new platform underlies the following factors: a huge, mostly entire collection of community specific knowledge (e.g., content like media objects, software components and best practices), a structured approach of knowledge access, search and browse, collaboration tools as well as social network analysis tools to foster efficient knowledge creation and transformation processes into marketable technology assets. The deliverable provides an overview of the current status and the remaining work to come, preceding the final version in month 48 of the RAGE project.

D6.1 – Ecosystem Software Platform with Underlying Software Repository, Digital Library and Media Archive

The objective of D6.1 is to make the Ecosystem software platform with underlying Software Repository, Digital Library and Media Archive available to the degree, that the RAGE project can start collecting content in the form of software assets, and documents of various media types. This paper describes the current state of the Ecosystem as of month 12 of the project, and documents the structure of the Ecosystem, individual components, integration strategies, and overall approach. The deliverable itself is the deployment of the described components, which is now available to collect and curate content. Whilst this version is not yet feature complete, full realization is expected within the next few months. Following this development, WP6 will continue to add features driven by the business models to be defined by WP7 later on in the project.

Extracting Patterns from Educational Traces via Clustering and Associated Quality Metrics

Clustering algorithms, pattern mining techniques and associated quality metrics emerged as reliable methods for modeling learners’ performance, comprehension and interaction in given educational scenarios. The specificity of available data such as missing values, extreme values or outliers, creates a challenge to extract significant user models from an educational perspective. In this paper we introduce a pattern detection mechanism with-in our data analytics tool based on k-means clustering and on SSE, silhouette, Dunn index and Xi-Beni index quality metrics. Experiments performed on a dataset obtained from our online e-learning platform show that the extracted interaction patterns were representative in classifying learners. Furthermore, the performed monitoring activities created a strong basis for generating automatic feedback to learners in terms of their course participation, while relying on their previous performance. In addition, our analysis introduces automatic triggers that highlight learners who will potentially fail the course, enabling tutors to take timely actions.

Predicting Academic Performance Based on Students' Blog and Microblog Posts

This study investigates the degree to which textual complexity indices applied on students’ online contributions, corroborated with a longitudinal analysis performed on their weekly posts, predict academic performance. The source of student writing consists of blog and microblog posts, created in the context of a project-based learning scenario run on our eMUSE platform. Data is collected from six student cohorts, from six consecutive installments of the Web Applications Design course, comprising of 343 students. A significant model was obtained by relying on the textual complexity and longitudinal analysis indices, applied on the English contributions of 148 students that were actively involved in the undertaken projects.

Predicting Student Performance and Differences in Learning Styles based on Textual Complexity Indices applied on Blog and Microblog Posts

Social media tools are increasingly popular in Computer Supported Collaborative Learning and the analysis of students' contributions on these tools is an emerging research direction. Previous studies have mainly focused on examining quantitative behavior indicators on social media tools. In contrast, the approach proposed in this paper relies on the actual content analysis of each student's contributions in a learning environment. More specifically, in this study, textual complexity analysis is applied to investigate how student's writing style on social media tools can be used to predict their academic performance and their learning style. Multiple textual complexity indices are used for analyzing the blog and microblog posts of 27 students engaged in a project-based learning activity. The preliminary results of this pilot study are encouraging, with several indexes predictive of student grades and/or learning styles.

The RAGE Software Asset Model and Metadata Model

Software assets are key output of the RAGE project and they can be used by applied game developers to enhance the pedagogical and educational value of their games. These software assets cover a broad spectrum of functionalities – from player analytics including emotion detection to intelligent adaptation and social gamification. In order to facilitate integration and interoperability, all of these assets adhere to a common model, which describes their properties through a set of metadata. In this paper the RAGE asset model and asset metadata model is presented, capturing the detail of assets and their potential usage within three distinct dimensions – technological, gaming and pedagogical. The paper highlights key issues and challenges in constructing the RAGE asset and asset metadata model and details the process and design of a flexible metadata editor that facilitates both adaptation and improvement of the asset metadata model.

Facteurs susceptibles d’influencer l'implantation de l'Échelle québécoise des niveaux de compétence en français des personnes immigrantes adultes et du Programme-cadre de français pour les personnes immigrantes adultes au Québec

La coexistence des services de francisation au Québec pour les personnes immigrantes adultes a fait l'objet de divers enjeux liés notamment au passage des apprenants d'un lieu de formation à un autre (Québec, MICC, 2011a). Dans le but de répondre à ces enjeux et d’harmoniser l'offre de services gouvernementaux en matière de francisation des adultes, le ministère de l'Immigration et des Communautés culturelles (MICC) a élaboré en collaboration avec le ministère de l'Éducation, du Loisir et du Sport (MELS), une innovation pédagogique, soit un référentiel commun québécois composé de deux instruments : l’Échelle québécoise des niveaux de compétence en français des personnes immigrantes adultes et le Programme-cadre de français pour les personnes immigrantes adultes au Québec. Le but de notre étude était de mieux comprendre l'implantation du référentiel commun québécois, de faire état des représentations du personnel enseignant en francisation vis-à-vis de cette innovation pédagogique et d’identifier les principaux facteurs qui structurent son implantation. Pour atteindre ces objectifs de recherche, nous avons mené une étude qualitative dans laquelle nous nous sommes appuyée sur le modèle d'implantation de Vince-Whitman (2009) qui identifie douze facteurs facilitant l’implantation d’une politique et d’une pratique. Nous avons accédé aux représentations de douze enseignantes et enseignants en francisation qui œuvrent au MICC et au MELS lors d’entretiens de groupe en leur permettant de s'exprimer sur leurs pratiques pédagogiques et sur leurs impressions du référentiel commun québécois. À l’aide du logiciel QSF NVivo 8, nous avons analysé le contenu des propos de nos participants de recherche. Nos résultats démontrent que le manque appréhendé de ressources – humaines, matérielles et financières, et un manque de temps, de formation et de collaboration professionnelle pourraient représenter des obstacles et nuire à une éventuelle implantation du référentiel commun québécois. À la lumière de ces résultats, nous proposons un cadre de référence composé de sept facteurs d’implantation d’une innovation pédagogique afin de mieux rendre compte d’une réalité spécifique et contemporaine, celle de l'implantation du référentiel commun québécois pour la francisation des immigrants adultes scolarisés. Les écrits scientifiques et nos résultats de recherche démontrent que de diverses formes de soutien, principalement du matériel pédagogique approprié et suffisant, peuvent constituer un facteur-clé dans la réussite de l’implantation d’une innovation pédagogique.

Towards intelligent aquaculture. Development of an early Biological Warning System to monitor exposure to contaminants and fish welfare: from artificial vision to systems modelling

161 p.

Design and Applications of a Decade-Spanning Terahertz Frequency Comb Spectrometer: Doppler-limited Rotational Spectroscopy of Methanol and Methanol-OD

This thesis details the design and applications of a terahertz (THz) frequency comb spectrometer. The spectrometer employs two offset locked Ti:Sapphire femtosecond oscillators with repetition rates of approximately 80 MHz, offset locked at 100 Hz to continuously sample a time delay of 12.5 ns at a maximum time delay resolution of 15.6 fs. These oscillators emit continuous pulse trains, allowing the generation of a THz pulse train by the master, or pump, oscillator and the sampling of this THz pulse train by the slave, or probe, oscillator via the electro-optic effect. Collecting a train of 16 consecutive THz pulses and taking the Fourier transform of this pulse train produces a decade-spanning frequency comb, from 0.25 to 2.5 THz, with a comb tooth width of 5 MHz and a comb tooth spacing of ~80 MHz. This frequency comb is suitable for Doppler-limited rotational spectroscopy of small molecules. Here, the data from 68 individual scans at slightly different pump oscillator repetition rates were combined, producing an interleaved THz frequency comb spectrum, with a maximum interval between comb teeth of 1.4 MHz, enabling THz frequency comb spectroscopy.

The accuracy of the THz frequency comb spectrometer was tested, achieving a root mean square error of 92 kHz measuring selected absorption center frequencies of water vapor at 10 mTorr, and a root mean square error of 150 kHz in measurements of a K-stack of acetonitrile. This accuracy is sufficient for fitting of measured transitions to a model Hamiltonian to generate a predicted spectrum for molecules of interest in the fields of astronomy and physical chemistry. As such, the rotational spectra of methanol and methanol-OD were acquired by the spectrometer. Absorptions from 1.3 THz to 2.0 THz were compared to JPL catalog data for methanol and the spectrometer achieved an RMS error of 402 kHz, improving to 303 kHz when excluding low signal-to-noise absorptions. This level of accuracy compares favorably with the ~100 kHz accuracy achieved by JPL frequency multiplier submillimeter spectrometers. Additionally, the relative intensity performance of the THz frequency comb spectrometer is linear across the entire decade-spanning bandwidth, making it the preferred instrument for recovering lineshapes and taking absolute intensity measurements in the THz region. The data acquired by the Terahertz Frequency Comb Spectrometer for methanol-OD is of comparable accuracy to the methanol data and may be used to refine the fit parameters for the predicted spectrum of methanol-OD.

SAFARI optical system architecture and design concept

SpicA FAR infrared Instrument, SAFARI, is one of the instruments planned for the SPICA mission. The SPICA mission is the next great leap forward in space-based far-infrared astronomy and will study the evolution of galaxies, stars and planetary systems. SPICA will utilize a deeply cooled 2.5m-class telescope, provided by European industry, to realize zodiacal background limited performance, and high spatial resolution. The instrument SAFARI is a cryogenic grating-based point source spectrometer working in the wavelength domain 34 to 230 μm, providing spectral resolving power from 300 to at least 2000. The instrument shall provide low and high resolution spectroscopy in four spectral bands. Low Resolution mode is the native instrument mode, while the high Resolution mode is achieved by means of a Martin-Pupplet interferometer. The optical system is all-reflective and consists of three main modules; an input optics module, followed by the Band and Mode Distributing Optics and the grating Modules. The instrument utilizes Nyquist sampled filled linear arrays of very sensitive TES detectors. The work presented in this paper describes the optical design architecture and design concept compatible with the current instrument performance and volume design drivers.