6,418 research outputs found
The Future of Canadian Climate Policy — with Marc Lee
No full textMarc Lee is a Senior Economist at the Canadian Centre for Policy Alternatives\u27 BC Office. In addition to tracking federal and provincial budgets and economic trends, Marc has published on a range of topics from poverty and inequality to globalization and international trade to public services and regulation. Marc is the Co-Director of the Climate Justice Project, a research partnership with UBC\u27s School of Community and Regional Planning that examines the links between climate change policies and social justice.Resources:Climate Justice Project: www.policyalternatives.ca/projects/cli…tice-projectMarc Lee\u27s Posts on Policy Note: www.policynote.ca/author/marclee/Canadian Centre for Policy Alternatives: www.policyalternatives.ca/Marc\u27s Twitter: twitter.com/MarcLeeCCPA International Panel on Climate Change, 2021 report: www.ipcc.ch/report/ar6/wg1
Climate Justice & Inequality: The Future of Canadian Climate Policy — with Marc Lee
No full textMarc Lee is a Senior Economist at the Canadian Centre for Policy Alternatives\u27 BC Office. In addition to tracking federal and provincial budgets and economic trends, Marc has published on a range of topics from poverty and inequality to globalization and international trade to public services and regulation. Marc is the Co-Director of the Climate Justice Project, a research partnership with UBC\u27s School of Community and Regional Planning that examines the links between climate change policies and social justice.Resources: Climate Justice Project: https://www.policyalternatives.ca/projects/climate-justice-projectMarc Lee\u27s Posts on Policy Note: https://www.policynote.ca/author/marclee/Canadian Centre for Policy Alternatives: https://www.policyalternatives.ca/Marc\u27s Twitter: https://twitter.com/MarcLeeCCPA International Panel on Climate Change, 2021 report: https://www.ipcc.ch/report/ar6/wg1
Contrôle de la croissance de la taille des individus en programmation génétique
No full textLa programmation génétique (GP) est une hyperheuristique d’optimisation ayant été appliquée avec succès à un large éventail de problèmes. Cependant, son intérêt est souvent considérablement diminué du fait de son utilisation élevée en ressources de calcul et de sa convergence laborieuse. Ces problèmes sont causés par une croissance immodérée de la taille des solutions et par l’apparition de structures inutiles dans celles-ci. Dans ce mémoire, nous présentons HARM-GP, une nouvelle approche résolvant en grande partie ces problèmes en permettant une adaptation dynamique de la distribution des tailles des solutions, tout en minimisant l’effort de calcul requis. Les performances de HARM-GP ont été testées sur un ensemble de douze problèmes et comparées avec celles de neuf techniques issues de la littérature. Les résultats montrent que HARM-GP excelle au contrôle de la croissance des arbres et du surapprentissage, tout en maintenant de bonnes performances sur les autres aspects.Genetic programming is a hyperheuristic optimization approach that has been applied to a wide range of problems involving symbolic representations or complex data structures. However, the method can be severely hindered by the increased computational resources required and premature convergence caused by uncontrolled code growth. We introduce HARM-GP, a novel operator equalization approach that adaptively shapes the genotype size distribution of individuals in order to effectively control code growth. Its probabilistic nature minimizes the overhead on the evolutionary process while its generic formulation allows this approach to remain independent of the problem and genetic operators used. Comparative results are provided over twelve problems with different dynamics, and over nine other algorithms taken from the literature. They show that HARM-GP is excellent at controlling code growth while maintaining good overall performances. Results also demonstrate the effectiveness of HARM-GP at limiting overtraining and overfitting in real-world supervised learning problems
UKMARC AMC: Draft Rev 4.0: UK MARC format for archives and manuscripts control (UK MARC AMC)
Get PDFThis draft is the first attempt to establish a UK MARC specifically for Archives and Manuscripts Control since the British Library indicated that it would countenance such extensions to the national UK MARC format. In order to keep consistency with the general UK MARC format, standard UK MARC subject fields are not included in this document, since they should be taken from the latest version of the UK MARC manual. {A note of them should perhaps be included in UK MARC AMC.} {NB Text in braces is intended to be explanatory material for readers of this draft}. Certain other fields have not been included that might occasionally be used in the cataloguing of archival materials but would generally only be used for such materials in organizations which were combining archive
databases with library databases. This MARC version is intended for use with descriptions of archive or anuscript material that follow, or fit, the traditional style of cataloguing: we assume that these will normally relate
to paper or parchment originals. It is not intended for use with descriptions of other kinds of material. For these, fields may be drawn from the appropriate UK MARC document. MARC versions for use with archives in special formats should be developed, in order to complete the full range of facilities available to archivists and curators
MARC 21 para recursos contínuos
Get PDFTranslation and adaptation of the MARC 21 Format for Bibliographic Data, and MARC 21 Format for Holdings Data, Network Development and MARC Standards Office, Library of Congress, USA, by Angela Salles. Rio de Janeiro, 2010. 2 v. V.1 MARC 21 format for bibliographic data (updated until October 2010). V.2 MARC 21 format for data collection (Holdings) (updated until October 2008)
MARC 21 para recursos contínuos.
Get PDFTradução e adaptação de MARC 21 Format for Bibliographic Data e MARC 21 Format for Holdings Data, da Network Development and MARC Standards Office, da Library of Congress, USA, por Angela Salles
Friends of the Greenwood Library Presents Marc Leepson
No full textOn Tuesday, September 11, 2012 the Friends of the Janet D. Greenwood Library hosted its fall event, which featured an evening with Marc Leepson. Leepson is a journalist, historian and the author of seven books, including Lafayette: Lessons in Leadership from the Idealist General (Palgrave/Macmillan, 2011), a concise biography of the famed Marquis de Lafayette
Populism, populists, european democracies and European Union. The Italian case
No full textIn this chapter, the author starts by a necessary clarification of some notions as populism and fascism because there is a lot of confusion in the public debate but also a lot of academic controversies. The debate has been immediately re-launched in September 2022, after the victory at the general elections of Giorgia Meloni’s head of Brothers of Italy, a party who has a neo-fascist legacy, and after her nomination as chief of the Italian government. Marc Lazar concludes this first part of the chapter by giving what he calls an operative definition of populism, populist and fascism. In a second part, the author analyses Meloni’s party Brothers of Italy and proposes a characterisation of this party which is evolving. In a third part of the chapter, Marc Lazar reflects on what does Meloni and her party on Italian democracy and on the European Union but also what the Italian democracy and the European Union do to Meloni and Brothers of Italy. For the author, the Italian democracy and the European Union demonstrate a high capacity of resilience to the populist challenge and a propension of acculturation of the populists’ leader and party. He concludes pointing out that is a working progress, the end of which is unknown
Aide intelligente pour la surveillance d'examens
No full textAujourd’hui, de plus en plus de cours se donnent en ligne. En revanche, ceux-ci restent marginaux et très peu d’entre eux permettent d’obtenir des certifications valables et reconnues. Or l’accès à ces contenus est une ressource incroyable, et de plus en plus d’efforts sont mis dans la numérisation de l’apprentissage. Le but de cette maîtrise est donc d’améliorer la supervision d’examens à distance. En effet, un des points forts d’internet est l’anonymat, et attester de la réussite et des compétences d’une personne devient rapidement non trivial. De plus, les seuls outils couramment disponibles à disposition pour la surveillance sont la caméra et le clavier/souris de l’utilisateur, ce qui donne une information très clairsemée. Pour ce faire, les techniques les plus à jour de tracking, reconnaissance, génération de données, et analyse ont été utilisées afin d’amener de l’automatisation et de «l’intelligence» dans la surveillance. Notons que même pour un humain cette tâche est difficile et décider ou non d’un comportement anormal n’est pas déterministe. Le but est donc d’apporter une aide, un support, pour pouvoir sécuriser les examens à grande échelle. La méthode décrite se base sur les avancées en intelligence artificielle, notamment des réseaux génératifs adversaires (generative adversials networks GANs), de l’apprentissage par renforcement (reinforcement learning RL), des réseaux récurrents (recurrent neurals networks RNN) et de réseaux convolutionels (Convolutional neural networks CNN).Nowadays, more and more courses are available online. On the other hand, they remain marginal and few of them have given valid and recognized certifications. Yet, those lessons have incredible content, and are an amazing resource. Furthermore, more and more, efforts are made toward numerising learning. The goal of this thesis is to improve online exam monitoring. Indeed, one of the strong points of the internet is anonymity, and attesting the success and skills of someone quickly becomes non-trivial. Moreover, the only commonly accessible tools available for surveillance are the camera, and the user’s keyboard / mouse which gives very sparse information. To do so, we used the most up-to-date tracking, recognition, generation and analysis techniques to introduce automation and «intelligence» in the surveillance. Note that even for a human this task is difficult and that to decide if a behavior is abnormal is not deterministic. The goal is therefore to provide help and support to bring large-scale examination monitoring to a safer level. The method described is based on the advances in artificial intelligence, particularly generative adversials network (GANs), reinforcement learning (RL) convolution neural networks (CNN) and recurrent neural networks (RNN)
Managing Technology Risks Through Technological Proficiency: Guidance for Local Governments
No full textLike most organizations, local governments face challenges managing technology, the critical resource to meet evolving public service expectations. But benefits associated with adapting the latest technology come with risks, some more apparent than others.
This report details the problems facing municipal officials as they try to maximize the benefits of technology for their communities and constituents in the face of cybersecurity, legal, operational, financial, reputational and societal risks.
The report concludes that top municipal officials must create and maintain an environment of “technological proficiency.” That includes creating a process for making technology decisions, developing an annually reviewed technology plan that is tied to the budget, instituting a “cyber hygiene” training program for all employees in proper computer security practices, and making sure that agency technology is competently managed.
The report is supplemented by a "Best Practices and Resources Guide" that organizations can use to achieve technology proficiency. It provides best practices based on an organization's technology profile.Report and Supplement were prepared for the Municipal Excess Liability Fund, a joint insurance fund of over 600 New Jersey local government agencies
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