Report of a Committee of the Corporation of Harvard College appointed “to consider the expediency of making further regulations relative to Commons,” May 19, 1807

This report expressed the opinion of the Committee that, despite the students' complaints, Commons should be not changed in any meaningful regard (save for the method of purchasing beef). Among other reasons for explaining the inflexible position of the Corporation, they stated, “alacrity, cheerfulness and docility are the companions of temperance; petulance, disquietude and perverseness are the intractable offspring of indulgence.” In addition, they suggested that students should refrain from sampling delicacies in town to better appreciate the "plain, simple, and wholesome food of the hall."

The autonomy of the EU legal order and the law-making activities of international organizations. Some examples regarding the Council most recent practice. Research Papers in Law 03/2012

[Introduction.] It is generally believed that while the principle of the autonomy of the EU legal order, in the sense of constitutional and institutional autonomy that is to say what concerns the autonomous decision-making of the EU, has been clearly strengthened by the most recent jurisprudence of the Court of Justice (eg. Moxplant3, Intertanko or the Kadi/Al Baraakat judgements or the Opinion 1/2009 of the CJEU etc.) as well as, in my opinion, in many aspects by the Treaty of Lisbon, it is still valid to add that the principle of a favourable approach, stemming from the Court jurisprudence, for the enhanced openness of the EU legal order to international law has remained equally important for the EU4. On the other hand, it should be also seen that in a globalized world, and following the increased role of the EU as an international actor, its indispensable and crucial role concerning the creation of world (legal) order in many policy fields ( for example let's think about the G20 issues, the global economic and financial crisis, the role of the EU in promoting and protecting human rights worldwide, the implementation of the multilateral or regional conventional law, developed in the framework the UN (e.g. in the field of agriculture or environment etc) or what concerns the Kyoto process on climate change or the conservation of marine biological resources at international level etc), it seems reasonable and justified to submit that the influence, for example, of the law-making activities of the main stakeholder international organizations in the mentioned policy-areas on the EU (especially on the development of its constantly evolving legal order) or vice-versa the influence of the EU law-making practice on these international organizations is significant, in many aspects mutually interdependent and more and more remarkable. This tendency of the 21st century doesn't mean, however, in my view, that the notion of the autonomy of the EU legal order would have been weakened by this increasing interaction between international law and EU law over the passed years. This contribution is going to demonstrate and prove these departuring points by giving some concrete examples from the most recent practice of the Council (all occuring either in the second half of 2009 or after the entry into force of the Lisbon Treaty), and which relate to two very important policy areas in the EU, namely the protection of human rights and the Common Fishery Policy.

Making the institutions work better and more effectively together: Priorities for the New Commission. CEPS Commentary, 1 October 2014

Philippe de Schoutheete takes as his point of departure in this Commentary the assumption that institutional treaty change cannot be a priority, although he does not exclude that it may become possible and desirable at a later period of economic growth and greater self-confidence in public opinion. In a best-case scenario, he foresees that such a window of opportunity might open towards the end of the present legislature. But in the meantime, he advises concentrating attention on adapting the institutions to make them work better and work more effectively together.

A Greek tragedy in the making. EPC Commentary, 6 July 2015

One thing is clear: the Greek people have emphatically voted ‘No’, providing a boost to Prime Minister Alexis Tsipras and plunging Greece and the Eurozone even more into uncertainty. But it might, at the end of the day, prove to be a hollow victory for the Greek Prime Minister: the vote cannot compel the rest of the Eurozone to open their coffers and provide the funds Greece so desperately needs. It is certainly not a victory for democracy: it is highly questionable whether the Greek people could form an informed opinion, given the short time frame, the unclear question relying on a proposal no longer on the table, and the high level of misinformation on the potential consequences of the vote. This is no victory, neither for Greece nor the EU and its members: in the end, it increases the danger of Greece leaving the Eurozone – and potentially even an eventual exit from the EU –, which the people of Greece clearly do not want, as 75-80 per cent of citizens firmly want the country to stay in the euro.

Making sense of microposts (#MSM2013) concept extraction challenge

Microposts are small fragments of social media content that have been published using a lightweight paradigm (e.g. Tweets, Facebook likes, foursquare check-ins). Microposts have been used for a variety of applications (e.g., sentiment analysis, opinion mining, trend analysis), by gleaning useful information, often using third-party concept extraction tools. There has been very large uptake of such tools in the last few years, along with the creation and adoption of new methods for concept extraction. However, the evaluation of such efforts has been largely consigned to document corpora (e.g. news articles), questioning the suitability of concept extraction tools and methods for Micropost data. This report describes the Making Sense of Microposts Workshop (#MSM2013) Concept Extraction Challenge, hosted in conjunction with the 2013 World Wide Web conference (WWW'13). The Challenge dataset comprised a manually annotated training corpus of Microposts and an unlabelled test corpus. Participants were set the task of engineering a concept extraction system for a defined set of concepts. Out of a total of 22 complete submissions 13 were accepted for presentation at the workshop; the submissions covered methods ranging from sequence mining algorithms for attribute extraction to part-of-speech tagging for Micropost cleaning and rule-based and discriminative models for token classification. In this report we describe the evaluation process and explain the performance of different approaches in different contexts.

In My Opinion… Good Intentions Don't Count

While simple guest surveys can be poorly constructed with little negative consequences, often surveys are used in making important policy decisions. Researchers and policy makers must carefully construct their research instruments in order to avoid biases which may result in muddled or incorrect responses. The authors review the process of creating, administering, and analyzing surveys with an eye toward reducing survey bias to a minimum. Reliable results require a rigorous and careful approach when creating and using instruments.

In My Opinion… If I Were a Carpenter

Starting a career in the hospitality travel and tourism industries today requires more than a nice smile, a love of people and a willingness to help solve their problems technology and number crunching are "must have" capabilities for up-and-coming managers graduating from hospitality and tourism pro- grams The article provides student counselors and mentors insights from industry leaders, career path choices, and questions that applicants should be asking in the decision-making process.

A decision support framework for infrastructure maintenance investment decision-making

Infrastructure management agencies are facing multiple challenges, including aging infrastructure, reduction in capacity of existing infrastructure, and availability of limited funds. Therefore, decision makers are required to think innovatively and develop inventive ways of using available funds. Maintenance investment decisions are generally made based on physical condition only. It is important to understand that spending money on public infrastructure is synonymous with spending money on people themselves. This also requires consideration of decision parameters, in addition to physical condition, such as strategic importance, socioeconomic contribution and infrastructure utilization. Consideration of multiple decision parameters for infrastructure maintenance investments can be beneficial in case of limited funding. Given this motivation, this dissertation presents a prototype decision support framework to evaluate trade-off, among competing infrastructures, that are candidates for infrastructure maintenance, repair and rehabilitation investments. Decision parameters' performances measured through various factors are combined to determine the integrated state of an infrastructure using Multi-Attribute Utility Theory (MAUT). The integrated state, cost and benefit estimates of probable maintenance actions are utilized alongside expert opinion to develop transition probability and reward matrices for each probable maintenance action for a particular candidate infrastructure. These matrices are then used as an input to the Markov Decision Process (MDP) for the finite-stage dynamic programming model to perform project (candidate)-level analysis to determine optimized maintenance strategies based on reward maximization. The outcomes of project (candidate)-level analysis are then utilized to perform network-level analysis taking the portfolio management approach to determine a suitable portfolio under budgetary constraints. The major decision support outcomes of the prototype framework include performance trend curves, decision logic maps, and a network-level maintenance investment plan for the upcoming years. The framework has been implemented with a set of bridges considered as a network with the assistance of the Pima County DOT, AZ. It is expected that the concept of this prototype framework can help infrastructure management agencies better manage their available funds for maintenance.

PERCEPTION AND OPINION OF CHILDREN, FAMILY PARENTS REGARDING THE SERVICES AND INFORMATION PRODUCTS OFFERED BY THE CHILDREN'S LIBRARY "ALVAREZ MIRIAM BRENES"

Presents the results of the study on the perceptions and views of children, fathers and mothers in relation to the services and products Children's Library "Miriam Alvarez Brenes" National University, developed by the Institute of Social Studies Population (IDESP), in collaboration with the Library staff Pretend that provided inputs to become key elements in making decisions and setting policies emanating from the authorities responsible for the proper development and expansion of activities and services that are to be implemented in selected communities will benefit of this project.

Combined Machine Learning Techniques for Decision Making Support in Medicine

Computational intelligent support for decision making is becoming increasingly popular and essential among medical professionals. Also, with the modern medical devices being capable to communicate with ICT, created models can easily find practical translation into software. Machine learning solutions for medicine range from the robust but opaque paradigms of support vector machines and neural networks to the also performant, yet more comprehensible, decision trees and rule-based models. So how can such different techniques be combined such that the professional obtains the whole spectrum of their particular advantages? The presented approaches have been conceived for various medical problems, while permanently bearing in mind the balance between good accuracy and understandable interpretation of the decision in order to truly establish a trustworthy ‘artificial’ second opinion for the medical expert.

Identifying and enhancing risk thresholds in the detection of elder financial abuse: A signal detection analysis of professionals' decision making

Background: Financial abuse of elders is an under acknowledged problem and professionals' judgements contribute to both the prevalence of abuse and the ability to prevent and intervene. In the absence of a definitive "gold standard" for the judgement, it is desirable to try and bring novice professionals' judgemental risk thresholds to the level of competent professionals as quickly and effectively as possible. This study aimed to test if a training intervention was able to bring novices' risk thresholds for financial abuse in line with expert opinion. Methods: A signal detection analysis, within a randomised controlled trial of an educational intervention, was undertaken to examine the effect on the ability of novices to efficiently detect financial abuse. Novices (n = 154) and experts (n = 33) judged "certainty of risk" across 43 scenarios; whether a scenario constituted a case of financial abuse or not was a function of expert opinion. Novices (n = 154) were randomised to receive either an on-line educational intervention to improve financial abuse detection (n = 78) or a control group (no on-line educational intervention, n = 76). Both groups examined 28 scenarios of abuse (11 "signal" scenarios of risk and 17 "noise" scenarios of no risk). After the intervention group had received the on-line training, both groups then examined 15 further scenarios (5 "signal" and 10 "noise" scenarios). Results: Experts were more certain than the novices, pre (Mean 70.61 vs. 58.04) and post intervention (Mean 70.84 vs. 63.04); and more consistent. The intervention group (mean 64.64) were more certain of abuse post-intervention than the control group (mean 61.41, p = 0.02). Signal detection analysis of sensitivity (Á) and bias (C) revealed that this was due to the intervention shifting the novices' tendency towards saying "at risk" (C post intervention -.34) and away from their pre intervention levels of bias (C-.12). Receiver operating curves revealed more efficient judgments in the intervention group. Conclusion: An educational intervention can improve judgements of financial abuse amongst novice professionals.

A novel concept-level approach for ultra-concise opinion summarization

The Web 2.0 has resulted in a shift as to how users consume and interact with the information, and has introduced a wide range of new textual genres, such as reviews or microblogs, through which users communicate, exchange, and share opinions. The exploitation of all this user-generated content is of great value both for users and companies, in order to assist them in their decision-making processes. Given this context, the analysis and development of automatic methods that can help manage online information in a quicker manner are needed. Therefore, this article proposes and evaluates a novel concept-level approach for ultra-concise opinion abstractive summarization. Our approach is characterized by the integration of syntactic sentence simplification, sentence regeneration and internal concept representation into the summarization process, thus being able to generate abstractive summaries, which is one the most challenging issues for this task. In order to be able to analyze different settings for our approach, the use of the sentence regeneration module was made optional, leading to two different versions of the system (one with sentence regeneration and one without). For testing them, a corpus of 400 English texts, gathered from reviews and tweets belonging to two different domains, was used. Although both versions were shown to be reliable methods for generating this type of summaries, the results obtained indicate that the version without sentence regeneration yielded to better results, improving the results of a number of state-of-the-art systems by 9%, whereas the version with sentence regeneration proved to be more robust to noisy data.

Hegemonia e contra-hegemonia na construção de políticas de esporte e lazer : a experiência do Consórcio Brasília = Hegemony and counter-hegemony in the process of sport and leisure policy-making : the experience of the Consortium Brasilia

Universidade Estadual de Campinas . Faculdade de Educação Física

Generalized Sznajd model for opinion propagation

In the last decade the Sznajd model has been successfully employed in modeling some properties and scale features of both proportional and majority elections. We propose a version of the Sznajd model with a generalized bounded confidence rule-a rule that limits the convincing capability of agents and that is essential to allow coexistence of opinions in the stationary state. With an appropriate choice of parameters it can be reduced to previous models. We solved this model both in a mean-field approach (for an arbitrary number of opinions) and numerically in a Barabaacutesi-Albert network (for three and four opinions), studying the transient and the possible stationary states. We built the phase portrait for the special cases of three and four opinions, defining the attractors and their basins of attraction. Through this analysis, we were able to understand and explain discrepancies between mean-field and simulation results obtained in previous works for the usual Sznajd model with bounded confidence and three opinions. Both the dynamical system approach and our generalized bounded confidence rule are quite general and we think it can be useful to the understanding of other similar models.