52 resultados para due legal process


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Petroleum process industries are one of the most energy and emission intensive sectors throughout the world.There are natural gas processing plant, crude oils and condensate fractionation plant, liquefied natural gas plantand liquefied petroleum gas plant etc. creates environmental pollution by processing and handling of petroleumproducts. The study critically reviewed and discussed the energy and environmental management includingpollution control of petroleum process industries of Bangladesh. They produce both gaseous (process gas, wastegas etc.) and liquid (produced water, waste oil and grease etc.) pollutants. The study found that the liquid pollutantlike waste water is more hazardous and its treatment process is highly complicated due to its higher salinity, morecorrosivity and grease contain characteristics. As part of energy management, the rational use of energy and energyflow diagram of the petroleum industry is presented. Finally, a time frame measures which can be implemented inorder to save energy is outlined. The study concluded that the rational use of energy and proper environmentalmanagement are essential for achieving energy and environmental sustainability of process industries.

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Accessing relevant legal information found in text excerpts from heterogeneous sources is essential to the decision making process in consumer disputes. The Ontology of Relevant Legal Information in Consumer Disputes (ric) is the domain-independent ontology modeling this relevant legal information comprising rights, their requisites, exceptions, constraints, enforcement procedures, legal sources. Its use is exemplified with one extension thereof, the Air Transport Passenger Incidents Ontology (ric-atpi), representing both the possible incidents triggered by a complaint in the air transport passenger domain and the related legal information that might be applicable. The Ontology models the key provisions found in the hard law, and those in soft law, comprising heterogeneous sources in a structured manner. An ontology-based system provides the knowledge embedded in the legal sources and their relation to the specific scenario.

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In Australia, statutory construction adjudication is a fast payment dispute resolution process designed to keep the cash flowing down the hierarchical contractual chain in construction projects. Its rapid, highly regulatory and temporarily binding nature have led to it being often described as a ‘quick and dirty’ process that delivers ‘rough and ready’ justice. Adjudicators often have to grapple with complex legal issues related to jurisdictional facts and interpretation of contract provisions, though the majority of them are not legally trained. This has often led to a poor quality of adjudication outcome for large and complex payment claims which has, in turn, led to a mounting dissatisfaction due to the many judicial challenges to adjudicators’ determinations seen in recent years. The evolving tension between the object of the security of payment legislation and excessive involvement of the courts has often been the subject of comment by the judiciary. This paper aims to examine the legislative and judicial approaches to support the object of the security of payment legislation to ease cash flow. The paper adopts a desktop study approach whereby evidence is gathered from three primary sources – judicial decisions, academic publications and governmental reports. The paper concludes that there is a need to adopt other measures which can provide more convenient relief to aggrieved parties to an adjudication process, such that the adjudication process is kept away from the courts as far as is possible. Specifically, it is proposed that a well-designed expanded legislative review scheme of allegedly flawed adjudication, based on that provided in the Western Australian legislation, might stand as a promising remedy to eliminate the evolving tension.

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Inferior surface quality is a significant problem faced by machinist. The purpose of this study is to present a surface texture analysis undertaken as part of machinability assessment of Super Austenitic Stainless Steel alloy-AL6XN. The surface texture analysis includes measuring the surface roughness and investigating the microstructural behaviour of the machined surfaces. Eight milling trials were conducted using combination of cutting parameters under wet machining. An optical profilometer (non-contact), was used to evaluate the surface texture at three positions. The surface texture was represented using the parameter, average surface roughness. Scanning Electron Microscope was utilised to inspect the machined surface microstructure and co relate with the surface roughness results. Results showed that maximum roughness values recorded at the three positions in the longitudinal direction (perpendicular to the machining grooves) were 1.21 μm (trial 1), 1.63 μm (trial 6) and 1.68 μm (trial 7) respectively whereas the roughness values were greatly reduced in the lateral direction. Also, results showed that the feed rate parameter significantly influences the roughness values compared to the other cutting parameters. The microstructure of the machined surfaces was distorted by the existence of cracks, deformed edges and bands and wear deposition due to machining process.

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This report reviews 51 cases of intimate partner homicide by men in Victoria, from 2005-2014, to investigate how family violence is recognised in homicide prosecutions. Research and death reviews in Australia and overseas have found that systemic failures in legal responses to family violence contribute to intimate partner homicides. In 2010, Domestic Violence Resource Centre Victoria and Monash University began a project to explore the impact of the 2005 homicide law reforms on intimate partner homicides. The first phase of the project examined cases of women who killed their intimate partners, focusing on whether the reforms had improved the recognition of family violence victimisation as a factor. This report presents findings from the second phase, which examines legal responses to men who have killed in the context of sexual intimacy. In analysing the cases, it looks at key contextual factors, legal outcomes, family violence risk factors, how prior family violence is understood and discussed by legal professionals, how evidence of prior family violence is used by the prosecution and whether it is admitted as evidence, the types of arguments and narratives made in defence of the accused, the recognition of family violence through the sentencing process, and the use of provocation as a mitigating factor.

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Biomembrane transformations are closely related to many biological processes including endo/exocytosis and the cellular response to the local physical environment. In this work, we investigated the transformation between lipid membranes and lipid vesicles/tubes modulated by the solid substrate of graphene oxide (GO) aggregates under laser irradiation. We firstly fabricate a novel type of lipid@GO composite consisting of micrometer-sized GO aggregates surrounded by lamellar lipid membranes. Upon laser irradiation, lipid protrusion occurs and leads to the formation of vesicles adsorbed on the GO aggregate surface, with an average size as 0.43 times of the radius of GO aggregate. Both the location and the dynamic formation process of vesicles can be modulated. The arising of vesicles prefers to occur at edges of the GO planes rather than on surface of individual GO sheets within the GO aggregate. Furthermore, at a reduced laser power density, the lipid protrusion mainly grows to tubes instead of vesicles. Such transformations from lipid membrane to vesicles and tubes is ascribed to the reduction of GO to reduced-GO (rGO) under laser irradiation, probably along with the release of gases leading to the deformation of lipid membrane surrounding the GO surface.

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Understanding user contexts and group structures plays a central role in pervasive computing. These contexts and community structures are complex to mine from data collected in the wild due to the unprecedented growth of data, noise, uncertainties and complexities. Typical existing approaches would first extract the latent patterns to explain human dynamics or behaviors and then use them as a way to consistently formulate numerical representations for community detection, often via a clustering method. While being able to capture high-order and complex representations, these two steps are performed separately. More importantly, they face a fundamental difficulty in determining the correct number of latent patterns and communities. This paper presents an approach that seamlessly addresses these challenges to simultaneously discover latent patterns and communities in a unified Bayesian nonparametric framework. Our Simultaneous Extraction of Context and Community (SECC) model roots in the nested Dirichlet process theory which allows a nested structure to be built to summarize data at multiple levels. We demonstrate our framework on five datasets where the advantages of the proposed approach are validated.