These things are alive: relationships between material culture, communities, and archaeological legislation

This paper deals with the relationship between different sets of archaeological legislation, material culture and communities. First it presents a historical sketch of the heritage legislation in the West and its contemporary uses. Secondly, it shows how alternative archaeological agencies, such as community archaeology, deal with these problems. The discussion is especially relevant in Brazil, where contract archaeology is presently overwhelming, and the issue is raised in the last part of the paper.

Between "uxor", "mater" and "concubina". Profile and identity of the Emperor Constantine in Late Roman legislation

We aspire to shape the Constantine’s personality in particular by analyzing his loving relationship, first with Minervina and then with Fausta, and not forgetting the bond with his mother Helena, hence the reference to uxor, mater and concubina in our title. We will analyze if these women exercised any influence on the composition of his production rules and, if so, to what extent they were able to determine the historical development of the following decades. From this point of view we must consider in general the emperor had to combine their political claims and government with these relationships, showing great skill in handling times and ways, always putting the first to the second.

Hate crime legislation and violence against sex workers in Ireland: Lessons in Policy and Practice

Drawing on data from UglyMugs.ie (a reporting mechanism for sex workers) this paper considers whether crimes against sex workers should be considered as hate crimes. In many ways, the debates around hate crime in the UK are more developed than in Ireland. As yet the Irish State has yet to criminalise the ‘hate’ element of crime and has been severely criticised for its relatively lacklustre approach to recording incidents of bias or hate crimes against certain social groups. The paper adopts the structural understanding of hate crime espoused by Barbara Perry (2001) who frames the dynamics of hate crime within a complex interplay of political, social and cultural factors. In our analysis we consider what is termed ‘whorephobia’ through the ambit of criminalisation and stigmatisation, gender and heteronormativity in Irish society, and the gendered nature of policing in both parts of Ireland.

Platform Privacy: The Missing Piece of Data Protection Legislation

After years of deliberation, the EU commission sped up the reform process of a common EU digital policy considerably in 2015 by launching the EU digital single market strategy. In particular, two core initiatives of the strategy were agreed upon: General Data Protection Regulation and the Network and Information Security (NIS) Directive law texts. A new initiative was additionally launched addressing the role of online platforms. This paper focuses on the platform privacy rationale behind the data protection legislation, primarily based on the proposal for a new EU wide General Data Protection Regulation. We analyse the legislation rationale from an Information System perspective to understand the role user data plays in creating platforms that we identify as “processing silos”. Generative digital infrastructure theories are used to explain the innovative mechanisms that are thought to govern the notion of digitalization and successful business models that are affected by digitalization. We foresee continued judicial data protection challenges with the now proposed Regulation as the adoption of the “Internet of Things” continues. The findings of this paper illustrate that many of the existing issues can be addressed through legislation from a platform perspective. We conclude by proposing three modifications to the governing rationale, which would not only improve platform privacy for the data subject, but also entrepreneurial efforts in developing intelligent service platforms. The first modification is aimed at improving service differentiation on platforms by lessening the ability of incumbent global actors to lock-in the user base to their service/platform. The second modification posits limiting the current unwanted tracking ability of syndicates, by separation of authentication and data store services from any processing entity. Thirdly, we propose a change in terms of how security and data protection policies are reviewed, suggesting a third party auditing procedure.

LDA-TM : A two-step approach to twitter topic data clustering

The Twitter System is the biggest social network in the world, and everyday millions of tweets are posted and talked about, expressing various views and opinions. A large variety of research activities have been conducted to study how the opinions can be clustered and analyzed, so that some tendencies can be uncovered. Due to the inherent weaknesses of the tweets - very short texts and very informal styles of writing - it is rather hard to make an investigation of tweet data analysis giving results with good performance and accuracy. In this paper, we intend to attack the problem from another aspect - using a two-layer structure to analyze the twitter data: LDA with topic map modelling. The experimental results demonstrate that this approach shows a progress in twitter data analysis. However, more experiments with this method are expected in order to ensure that the accurate analytic results can be maintained.

Exploring social representations of adapting to climate change using topic modeling and Bayesian networks

When something unfamiliar emerges or when something familiar does something unexpected people need to make sense of what is emerging or going on in order to act. Social representations theory suggests how individuals and society make sense of the unfamiliar and hence how the resultant social representations (SRs) cognitively, emotionally, and actively orient people and enable communication. SRs are social constructions that emerge through individual and collective engagement with media and with everyday conversations among people. Recent developments in text analysis techniques, and in particular topic modeling, provide a potentially powerful analytical method to examine the structure and content of SRs using large samples of narrative or text. In this paper I describe the methods and results of applying topic modeling to 660 micronarratives collected from Australian academics / researchers, government employees, and members of the public in 2010-2011. The narrative fragments focused on adaptation to climate change (CC) and hence provide an example of Australian society making sense of an emerging and conflict ridden phenomena. The results of the topic modeling reflect elements of SRs of adaptation to CC that are consistent with findings in the literature as well as being reasonably robust predictors of classes of action in response to CC. Bayesian Network (BN) modeling was used to identify relationships among the topics (SR elements) and in particular to identify relationships among topics, sentiment, and action. Finally the resulting model and topic modeling results are used to highlight differences in the salience of SR elements among social groups. The approach of linking topic modeling and BN modeling offers a new and encouraging approach to analysis for ongoing research on SRs.

Recognition of Activities of Daily Living from Topic Model

Research in ubiquitous and pervasive technologies have made it possible to recognise activities of daily living through non-intrusive sensors. The data captured from these sensors are required to be classified using various machine learning or knowledge driven techniques to infer and recognise activities. The process of discovering the activities and activity-object patterns from the sensors tagged to objects as they are used is critical to recognising the activities. In this paper, we propose a topic model process of discovering activities and activity-object patterns from the interactions of low level state-change sensors. We also develop a recognition and segmentation algorithm to recognise activities and recognise activity boundaries. Experimental results we present validates our framework and shows it is comparable to existing approaches.

La tortura in Italia. Il reato che non c’è

Presentata una definizione del termine e un excursus storico delle condotte di attuazione della tortura, citando noti eventi individuali (rapimento Dozier) o di massa (G8 di Genova), il presente lavoro discuterà della carenza normativa di tale reato nel nostro Paese, per concludere con alcuni elementi ravvisabili nel profiling criminologico del torturatore. After having introduced a definition of the word “torture” and briefly analysed from a historic point of view, this behaviour thanks to well-known events (Dozier kidnapping and G8 summit in Genoa), in this article the author will first discuss the lack of an appropriate legislation on this topic in Italy. Then, she will analyse some aspects of the criminological profile of a torturer.

Princípios da reabilitação de edifícios: aplicação a casos de estudo

Trabalho final de Mestrado conducente ao grau de Mestre em Engenharia Civil na Área de Especialização de Edificações

Riscos de quebra de continuidade e o papel do auditor

Mestrado em Auditoria

LIST STATUS REPORT FOR ENERGY RELATED LEGISLATION

This gives the status of bills in the General Assembly dealing with energy. It gives the title, the bill itself and where it stands in the process in the Senate and House.

Relations among Topic Knowledge, Individual Interest, and Relational Reasoning, and Critical Thinking in Maternity Nursing

Critical thinking in learners is a goal of educators and professional organizations in nursing as well as other professions. However, few studies in nursing have examined the role of the important individual difference factors topic knowledge, individual interest, and general relational reasoning strategies in predicting critical thinking. In addition, most previous studies have used domain-general, standardized measures, with inconsistent results. Moreover, few studies have investigated critical thinking across multiple levels of experience. The major purpose of this study was to examine the degree to which topic knowledge, individual interest, and relational reasoning predict critical thinking in maternity nurses. For this study, 182 maternity nurses were recruited from national nursing listservs explicitly chosen to capture multiple levels of experience from prelicensure to very experienced nurses. The three independent measures included a domain-specific Topic Knowledge Assessment (TKA), consisting of 24 short-answer questions, a Professed and Engaged Interest Measure (PEIM), with 20 questions indicating level of interest and engagement in maternity nursing topics and activities, and the Test of Relational Reasoning (TORR), a graphical selected response measure with 32 items organized in scales corresponding to four forms of relational reasoning: analogy, anomaly, antithesis, and antinomy. The dependent measure was the Critical Thinking Task in Maternity Nursing (CT2MN), composed of a clinical case study providing cues with follow-up questions relating to nursing care. These questions align with the cognitive processes identified in a commonly-used definition of critical thinking in nursing. Reliable coding schemes for the measures were developed for this study. Key findings included a significant correlation between topic knowledge and individual interest. Further, the three individual difference factors explained a significant proportion of the variance in critical thinking with a large effect size. While topic knowledge was the strongest predictor of critical thinking performance, individual interest had a moderate significant effect, and relational reasoning had a small but significant effect. The findings suggest that these individual difference factors should be included in future studies of critical thinking in nursing. Implications for nursing education, research, and practice are discussed.

A Fuzzy Decision Strategy for Topic Identification and Dynamic Selection of Language Models

International audience