Adjacency Labelling for Planar Graphs (and Beyond)

We show that there exists an adjacency labelling scheme for planar graphs where each vertex of an n -vertex planar graph G is assigned a (1 + o(1)) log 2 n -bit label and the labels of two vertices u and v are sufficient to determine if uv is an edge of G . This is optimal up to the lower order term and is the first such asymptotically optimal result. An alternative, but equivalent, interpretation of this result is that, for every positive integer n , there exists a graph U n with n 1+o(1) vertices such that every n -vertex planar graph is an induced subgraph of U n . These results generalize to a number of other graph classes, including bounded genus graphs, apex-minor-free graphs, bounded-degree graphs from minor closed families, and k -planar graphs.

Transforming data-centric eXtensible markup language into relational databases using hybrid approach

eXtensible markup language (XML) appeared internationally as the format for data representation over the web. Yet, most organizations are still utilising relational databases as their database solutions. As such, it is crucial to provide seamless integration via effective transformation between these database infrastructures. In this paper, we propose XML-REG to bridge these two technologies based on node-based and path-based approaches. The node-based approach is good to annotate each positional node uniquely, while the path-based approach provides summarised path information to join the nodes. On top of that, a new range labelling is also proposed to annotate nodes uniquely by ensuring the structural relationships are maintained between nodes. If a new node is to be added to the document, re-labelling is not required as the new label will be assigned to the node via the new proposed labelling scheme. Experimental evaluations indicated that the performance of XML-REG exceeded XMap, XRecursive, XAncestor and Mini-XML concerning storing time, query retrieval time and scalability. This research produces a core framework for XML to relational databases (RDB) mapping, which could be adopted in various industries.

Does the Marine Stewardship Council's Eco-labelling Scheme Require Sustainable Fisheries Management?: a Study of the Marine Stewardship Council's Objections Procedure

<p>The Marine Stewardship Council eco-labelling scheme was formed in order to provide a means of promoting sustainable fisheries that moved away from conventional top-down management. In order to remain robust and transparent, MSC allows stakeholders to object to a certification through an objections process outlined by MSC. Over the past 15 years, this objections process has come under increasing scrutiny. The MSC OP has been accused of Ambiguous wording, principal agent issues and an unequal judicial process by some stakeholders and outside commentators. These accusations pose a real threat to the reputation of the MSC. If left un-addressed, MSC’s credibility amongst consumers and academics has the potential to be lost. This thesis seeks to investigate the legitimacy and robustness of the MSC OP. There is a focus on the way in which the MSC OP facilitates interactions between objection actors, influences actors, and how each actor is empowered by the MSC OP methodology.</p>

Does the Marine Stewardship Council's Eco-labelling Scheme Require Sustainable Fisheries Management?: a Study of the Marine Stewardship Council's Objections Procedure

<p>The Marine Stewardship Council eco-labelling scheme was formed in order to provide a means of promoting sustainable fisheries that moved away from conventional top-down management. In order to remain robust and transparent, MSC allows stakeholders to object to a certification through an objections process outlined by MSC. Over the past 15 years, this objections process has come under increasing scrutiny. The MSC OP has been accused of Ambiguous wording, principal agent issues and an unequal judicial process by some stakeholders and outside commentators. These accusations pose a real threat to the reputation of the MSC. If left un-addressed, MSC’s credibility amongst consumers and academics has the potential to be lost. This thesis seeks to investigate the legitimacy and robustness of the MSC OP. There is a focus on the way in which the MSC OP facilitates interactions between objection actors, influences actors, and how each actor is empowered by the MSC OP methodology.</p>

Policy Implications on Carbon Labeling Scheme Toward Carbon Neutrality in China

Carbon labeling scheme as a quantitative measure on carbon emissions of product or service, can be applied to leading low carbon consumption and production, which is also a powerful tool to achieve carbon neutral. The policy brief reviews the progress of carbon labelling scheme to provide insight into its future perspectives on carbon neutrality in China. The results show that: ① China has not officially fostered as a carbon labeling system, but there is a pilot attempt to electric appliance; ② Publics’ perception towards carbon labeling scheme is in a lower level; ③ There is a room for improvement on the existing carbon labeling scheme, to improve its transparency and comparison.

XML Dataset and Benchmarks for Performance Testing of the CLS Labelling Scheme

Extensible Markup Language (XML) has become a significant technology for transferring data through the world of the Internet. XML labelling schemes are an essential technique used to handle XML data effectively. Labelling XML data is performed by assigning labels to all nodes in that XML document. CLS labelling scheme is a hybrid labelling scheme that was developed to address some limitations of indexing XML data. Moreover, datasets are used to test XML labelling schemes. There are many XML datasets available nowadays. Some of them are from real life datasets and others are from artificial datasets. These datasets and benchmarks are used for testing the XML labelling schemes. This paper discusses and considers these datasets and benchmarks and their specifications in order to determine the most appropriate one for testing the CLS labelling scheme. This research found out that the XMark benchmark is the most appropriate choice for the testing performance of the CLS labelling scheme.

Mountain beef and wine: Italian consumers' definitions and opinions on the mountain labelling-scheme

Despite the importance of mountain areas and mountain farming, the literature on studies on consumers' opinion concerning mountain food products is not numerous. In order to contribute to filling this gap, this study aims at exploring Italian consumers' opinions regarding beef and wine produced in mountain areas as well as their opinions concerning the new European regulation on mountain food products. To do so, a qualitative approach with observations, focus groups and semi-structured interviews were applied. The results indicate that consumers living in mountain areas and those living in non-mountain areas, including rural areas, have different knowledge about the practices in mountain farming and different opinions concerning mountain food products. Nevertheless, both want mountain food products to be healthier and sustainably produced. Furthermore, they associate wine and beef mainly to credence attributes. As for European regulation, most criticisms are directed to the flexibility of the rules. The inclusion of wine in the mountain quality scheme is not a consensus among consumers. However, the analyses point to the existence of consumers who are interested in wines produced in mountain areas, indicating the emergence of a potential niche market for these wines.

Null-Labelling: A Generic Approach for Learning in the Presence of Class Noise

Datasets containing class noise present significant challenges to accurate classification, thus requiring classifiers that can refuse to classify noisy instances. We demonstrate the inability of the popular confidence-thresholding rejection method to learn from relationships between input features and not-at-random class noise. To take advantage of these relationships, we propose a novel null-labelling scheme based on iterative re-training with relabelled datasets that uses a classifier to learn to reject instances that are likely to be misclassified. We demonstrate the ability of null-labelling to achieve a significantly better tradeoff between classification error and coverage than the confidence-thresholding method. Models generated by the null-labelling scheme have the added advantage of interpretability, in that they are able to identify features correlated with class noise. We also unify prior theories for combining and evaluating sets of rejecting classifiers.

Evaluation of Find Your Fuel: A Point-of-Service Labelling Campaign in a Military Dining Facility

Nutrition plays a critical role in health and job performance in physically demanding roles. Studies have shown Australian military personnel do not consume diets suited to their roles. A range of foods are provided in military dining facilities; however, personnel still need to make appropriate choices for healthier eating and to optimise performance. This study explored the effect of a labelling scheme based on military-specific nutrition guidance, over a one-month period. Food choices were evaluated in a pre-post design using plate photography (pre n = 190; post n = 159 plates); with satisfaction and behavioural influences assessed through a survey (pre n = 79; post n = 67). The results indicate the scheme had a small effect on food choice—potato and hot vegetable choices increased post-campaign for the dinner meal. On average, choices were heathier at lunch post-campaign, and less healthy at dinner. Satisfaction with the meal experience was higher after the campaign, and no difference was observed in behavioural influences (e.g., self-efficacy and other perceptions). These results are in alignment with other point-of-service labelling studies showing the limited capacity labelling schemes have on guiding consumer choices. Rather than using point-of-service labelling in isolation, additional individual and/or environmental strategies may be needed to more effectively encourage nutritious food choices by personnel.