56 resultados para mining right


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This essay proffers a psychoanalytic reading of the events of Abu Ghraib as deeply symptomatic of changes in American foreign policy and political culture. The paper examines the Lacanian understanding of group formation developed by Slavoj Zizek in his work on politics and culture (in Part I), and then applies this understanding to the Abu Ghraib scandal (Part II). In Part III, implications of the analysis are elaborated, in terms of Zizek's contention that the contemporary "permissive society" engenders in subjects the desire for new forms of mastery or "moral clarity".


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This paper presents a real application of Web-content mining using an incremental FP-Growth approach. We firstly restructure the semi-structured data retrieved from the web pages of Chinese car market to fit into the local database, and then employ an incremental algorithm to discover the association rules for the identification of car preference. To find more general regularities, a method of attribute-oriented induction is also utilized to find customer’s consumption preferences. Experimental results show some interesting consumption preference patterns that may be beneficial for the government in making policy to encourage and guide car consumption.

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Many organizations struggle with the massive amount of data they collect. Today, data does more than serve as the ingredients for churning out statistical reports. They help support efficient operations in many organizations, and to some extent, data provide the competitive intelligence organizations need to survive in today's economy. Data mining can't always deliver timely and relevant results because data are constantly changing. However, stream-data processing might be more effective, judging by the Matrix project.

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The right to privacy is not recognised at common law. However, like many  other rights, it has gained increasing prominence and legal recognition  since the explosion in rights-based normative discourse following the  Second World War. Rights-based moral theories are appealing because their language is individualising; promising to expand the sphere of liberty and protection offered to people. It is therefore not surprising that we as  individuals are attracted to such theories - they allow us a vehicle through  which we can project our wishes and demands onto the community. While in abstract the right to privacy sounds appealing, it has many potential  disadvantages. This article examines the justification for the right to privacy. It argues that either the right is illusory (devoid of an overarching doctrinal rationale) or at its highest the right to privacy is an insignificant right - one which should rarely trump other interests. It follows that there is a need to re-assess the desirability of introducing a separate cause of action protecting privacy interests.

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Preventive detention enables a person to be deprived of liberty, by executive determination, for the purposes of safeguarding national security or public order without that person being charged or brought to trial. This paper examines Article 9(1) of the International Covenant on Civil and Political Rights, 1966 to assess whether preventive detention is prohibited by the phrase 'arbitrary arrest and detention '. To analyse this Article, this paper uses a textual and structural analysis of the Article, as well as reference to the travaux preparatoires and case law of the Human Rights Committee. This paper argues that preventive detention is not explicitly prohibited by Article 9(1) ofthe International Covenant on Civil and Political Rights 1966. If preventive detention is 'arbitrary', within the wide interpretation of that term as argued in this paper, it will be a permissible deprivation of personal liberty under Article 9(1) of the International Covenant on Civil and Political Rights, 1966. Preventive detention will, however, always be considered 'arbitrary' if sajeguards for those arrested and detained are not complied with, in particular the right to judicial review of the lawfulness of detention.

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'Preventive detention' refers to detention by executive order as a  precautionary measure based on predicted criminal conduct. Detention is without criminal charge or trial as detention is based on the prediction of a future offence. This paper examines Article 5 of the European Convention for the Protection of Human Rights and Fundamental Freedoms ('ECHR'), in particular Article 5(1)(c) and Article 5(3). To explore this issue, this paper conducts a textual analysis of Article 5 and examines both the travaux preacuteparatoires of the ECHR, as well as jurisprudence of the European Court of Human Rights. This article argues that preventive detention is specifically provided for under the second ground of detention in Article 5(1)(c). A person in preventive detention, however, must be brought promptly before judicial authority under Article 5(3).

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There is little chance that obese customers in Australia would fare any better in a claim against fast food companies than their counterparts in the US.

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Background
AMP-activated protein kinase (AMPK) has emerged as a significant signaling intermediary that regulates metabolisms in response to energy demand and supply. An investigation into the degree of activation and deactivation of AMPK subunits under exercise can provide valuable data for understanding AMPK. In particular, the effect of AMPK on muscle cellular energy status makes this protein a promising pharmacological target for disease treatment. As more AMPK regulation data are accumulated, data mining techniques can play an important role in identifying frequent patterns in the data. Association rule mining, which is commonly used in market basket analysis, can be applied to AMPK regulation.

Results
This paper proposes a framework that can identify the potential correlation, either between the state of isoforms of α, β and γ subunits of AMPK, or between stimulus factors and the state of isoforms. Our approach is to apply item constraints in the closed interpretation to the itemset generation so that a threshold is specified in terms of the amount of results, rather than a fixed threshold value for all itemsets of all sizes. The derived rules from experiments are roughly analyzed. It is found that most of the extracted association rules have biological meaning and some of them were previously unknown. They indicate direction for further research.

Conclusion
Our findings indicate that AMPK has a great impact on most metabolic actions that are related to energy demand and supply. Those actions are adjusted via its subunit isoforms under specific physical training. Thus, there are strong co-relationships between AMPK subunit isoforms and exercises. Furthermore, the subunit isoforms are correlated with each other in some cases. The methods developed here could be used when predicting these essential relationships and enable an understanding of the functions and metabolic pathways regarding AMPK.

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Protein kinases, a family of enzymes, have been viewed as an important signaling intermediary by living organisms for regulating critical biological processes such as memory, hormone response and cell growth. The
unbalanced kinases are known to cause cancer and other diseases. With the increasing efforts to collect, store and disseminate information about the entire kinase family, it not only leads to valuable data set to understand cell regulation but also poses a big challenge to extract valuable knowledge about metabolic pathway from the data. Data mining techniques that have been widely used to find frequent patterns in large datasets can be extended and adapted to kinase data as well. This paper proposes a framework for mining frequent itemsets from the collected kinase dataset. An experiment using AMPK regulation data demonstrates that our approaches are useful and efficient in analyzing kinase regulation data.

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The 1964 High Court decision in Woon v The Queen is commonly understood to permit the drawing of an inference of a ‘consciousness of guilt’ when a suspect selectively responds to police questions. It is the author’s contention that, in the light of the emphatic endorsement of the right to pre-trial silence by the High Court in 1993 in Petty v The Queen; Maiden v The Queen, Woon should now be regarded as bad law and should no longer be followed.

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Over the past two decades there has been a growing understanding of consumer requirements and advances in the design and development of accessible technology. However, research over the past decade confirms that significant barriers still exist for people with disabilities. These individuals constitute a diverse group of consumers who experience physical, cognitive, literacy, financial and attitudinal barriers to the use of technology or information. They regard themselves as experts on their access issues yet have been provided with few opportunities to participate in technology research that seeks to explore issues and provide consumer-focused solutions.

In this paper, the benefits of collaborative research and the use of participatory methods in a funded research project on accessible telecommunications information are described. The target consumer group for the project was people with significant communication difficulties, a group who are particularly disadvantaged due to speech, literacy and physical access issues with technology and information. The strategies used to facilitate participation are discussed and criteria from Zarb (1992) and Barnes (2003) are used to evaluate the participatory aspect of the project.

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Despite recent advances in the area of humanitarian responses and the publication and dissemination of various guidelines with regard to nutritional interventions, there is, however a paucity of studies which have examined the human right to food in complex emergencies. 186 countries including those affected by both human made and natural disasters and countries who are donors of humanitarian relief aid adopted the Rome Declaration on Food Security and World Summit plan of Action reaffirming “ the right to adequate food and the fundamental right of everyone to be free from hunger”. The human right to adequate and nutritious food in refugee settings implies that every refugee has physical and economic access to sufficient food to provide the necessary nutrients for effective physical and physiological functions and achieve well being. There are many grounds for believing that the current humanitarian responses to disasters more often violate than respect the human right to adequate and nutritious food. Using elements of household food security as our working framework this paper focuses on the complex ethical and moral questions raised by the conventional humanitarian assistance framework and in particular the issue of human right to food and household food security in refugee settings.

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Current data mining techniques may not be helpful for mining some companies/organizations such as nuclear power plants and earthquake bureaus, which have only small databases. Apparently, these companies/organizations also expect to apply data mining techniques to extract useful patterns in their databases so as to make their decisions. However, data in these databases such as the accident database of a nuclear power plant and the earthquake database in an earthquake bureau, may not be large enough to form any patterns. To meet the applications, we present a new mining model in this paper, which is based on the collecting knowledge from such as Web, journals, and newspapers.

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Data collecting is necessary to some organizations such as nuclear power plants and earthquake bureaus, which have very small databases. Traditional data collecting is to obtain necessary data from internal and external data-sources and join all data together to create a homogeneous huge database. Because collected data may be untrusty, it can disguise really useful patterns in data. In this paper, breaking away traditional data collecting mode that deals with internal and external data equally, we argue that the first step for utilizing external data is to identify quality data in data-sources for given mining tasks. Pre- and post-analysis techniques are thus advocated for generating quality data.