Combination Methods for Automatic Document Organization

Automatic document classification and clustering are useful for a wide range of applications such as organizing Web, intranet, or portal pages into topic directories, filtering news feeds or mail, focused crawling on the Web or in intranets, and many more. This thesis presents ensemble-based meta methods for supervised learning (i.e., classification based on a small amount of hand-annotated training documents). In addition, we show how these techniques can be carried forward to clustering based on unsupervised learning (i.e., automatic structuring of document corpora without training data). The algorithms are applied in a restrictive manner, i.e., by leaving out some \u27uncertain\u27 documents (rather than assigning them to inappropriate topics or clusters with low confidence). We show how restrictive meta methods can be used to combine different document representations in the context of Web document classification and author recognition. As another application for meta methods we study the combination of difierent information sources in distributed environments, such as peer-to-peer information systems. Furthermore we address the problem of semi-supervised classification on document collections using retraining. A possible application is focused Web crawling which may start with very few, manually selected, training documents but can be enhanced by automatically adding initially unlabeled, positively classified Web pages for retraining. The results of our systematic evaluation on real world data show the viability of the proposed approaches.Automatische Dokumentklassifikation und Clustering sind für eine Vielzahl von Anwendungen von Bedeutung, wie beispielsweise Organisation von Web-, Intranet- oder Portalseiten in thematische Verzeichnisse, Filterung von Nachrichtenmeldungen oder Emails, fokussiertes Crawling im Web oder in Intranets und vieles mehr. Diese Arbeit untersucht Ensemble-basierte Metamethoden für Supervised Learning (d.h. Klassifikation basierend auf einer kleinen Anzahl von manuell annotierten Trainingsdokumenten). Weiterhin zeigen wir, wie sich diese Techniken auf Clustering basierend auf Unsupervised Learning (d.h. die automatische Strukturierung von Dokumentkorpora ohne Trainingsdaten) übertragen lassen. Dabei wenden wir die Algorithmen in restriktiver Form an, d.h. wir treffen keine Aussage über eine Teilmenge von "unsicheren" Dokumenten (anstatt sie mit niedriger Konfidenz ungeeigneten Themen oder Clustern zuzuordnen). Wir verwendenen restriktive Metamethoden um unterschiedliche Dokumentrepräsentationen, im Kontext der Klassifikation von Webdokumentem und der Autorenerkennung, miteinander zu kombinieren. Als weitere Anwendung von Metamethoden untersuchen wir die Kombination von unterschiedlichen Informationsquellen in verteilten Umgebungen wie Peer-to-Peer Informationssystemen. Weiterhin betrachten wir das Problem der Semi-Supervised Klassifikation von Dokumentsammlungen durch Retraining. Eine mögliche Anwendung ist fokussiertesWeb Crawling, wo wir mit sehr wenigen, manuell ausgewählten Trainingsdokumenten starten, die durch Hinzufugen von ursprünglich nicht klassifizierten Dokumenten ergänzt werden. Die Resultate unserer systematischen Evaluation auf realen Daten zeigen das gute Leistungsverhalten unserer Methoden

Improving productivity in tropical lakes and reservoirs

Freshwater aquaculture, Inland fisheries

Food Selectivity in Children with Autism: Guidelines for Assessment and Clinical Interventions

Autisms Spectrum Disorders (ASD) are characterized by core symptoms (social communication and restricted and repetitive behaviors) and related comorbidities, including sensory anomalies, feeding issues, and challenging behaviors. Children with ASD experience significantly more feeding problems than their peers. In fact, parents and clinicians have to manage daily the burden of various dysfunctional behaviors of children at mealtimes (food refusal, limited variety of food, single food intake, or liquid diet). These dysfunctional behaviors at mealtime depend on different factors that are either medical/sensorial or behavioral. Consequently, a correct assessment is necessary in order to program an effective clinical intervention. The aim of this study is to provide clinicians with a guideline regarding food selectivity concerning possible explanations of the phenomenon, along with a direct/indirect assessment gathering detailed and useful information about target feeding behaviors. Finally, a description of evidence-based sensorial and behavioral strategies useful also for parent-mediated intervention is reported addressing food selectivity in children with ASD

Discrimination, nutritional quality and resilience: regulation in agri-food trade

The multilateral trading system is one of the major achievements of international cooperation in modern times. The elimination of tariffs has led countries to specialize in commodities that allow them to exploit their comparative advantages while enabling access to other commodities in external markets. However, the system is not dynamic enough to solve long-standing issues or adapt to those arising as societies evolve. This thesis explores key areas in which action can be taken to achieve both direct economic benefits and indirect benefits through a more equal and more resilient global food system that can promote the nutritional quality of products. The core of the analysis is based on the gravity model of trade, but I also expound the mediation analysis as a method to be considered in the estimation of the indirect effects of trade measures. The results highlight the importance of trade facilitation as a tool to guarantee that developing countries --through capacity building and other practices-- not only comply with regulations and enjoy equal market access, but also as a buffer in response to market crises. I also find that a loose quality control of food crossing the borders contributes to the ongoing obesity pandemic and suppresses the benefits of trade. Further commitments to market transparency, monitoring and evaluation would also contribute to a more resilient agri-food trading system

mHealth Geographies: Mobile Technologies and Health in the Global South

This is the author accepted manuscript. The final version is available from Routledge via the URL in this record

Healthy and Sustainable Dietary Behaviours in Western Australian Adults

Environmental sustainability and health can be impacted by diet and are issues often considered in isolation from one another. This research addressed the lack of evidence and methods to assess healthy and sustainable dietary behaviours by developing and evaluating a novel prediction model, the Healthy and Sustainable Diet Index. Application of this model will inform policy, guide future interventions, and raise consumer awareness of the impact of their dietary behaviours on both health and the environment

An Ethical Justification of Weight Loss Surgery

This dissertation provides an ethical justification of surgical weight loss interventions for the treatment of obesity. Situating obesity as not merely a public health concern but also fundamentally a problem of clinical medicine confronting individual patients and physicians, the dissertation argues that the time frame of public health interventions is too long for individuals presently facing obesity and its deleterious physical and social co-morbidities. It argues that failure to address weight loss on an individual level, and specifically to consider the clinical appropriateness of weight loss surgery (WLS), raises serious questions about failure to respect autonomy and promote patient welfare. Moreover, social skepticism or rejection of WLS as a treatment option raises concerns about fairness, as this failure indicates that obesity is not regarded in relevantly similar ways to other life-threatening and health-impairing conditions. The dissertation examines various reasons that obesity and its myriad interventions, including WLS, are inadequately addressed in the clinical setting. It argues that considerations with cultural and ethical valence play a critical role in obesity\u27s different and unfair treatment within clinical medicine. Gendered and theologically informed attributions of blame, self-blame, shame, and self-stigma influence the attitudes and actions of both patients and clinicians with regard to addressing obesity. Inappropriate and conceptually confused ascriptions of responsibility impede social acceptance of, and access to, WLS. The dissertation\u27s criticism and subsequent reconceptualization of these ascriptions of responsibility from a perspective informed by feminist epistemology and ethics provide the foundation upon which to consider reform of current clinical practices surrounding treatment of obesity. This dissertation concludes that WLS is both ethically and clinically justified

Everything You Want to Know About Pointer-Based Checking

Lack of memory safety in C/C++ has resulted in numerous security vulnerabilities and serious bugs in large software systems. This paper highlights the challenges in enforcing memory safety for C/C++ programs and progress made as part of the SoftBoundCETS project. We have been exploring memory safety enforcement at various levels - in hardware, in the compiler, and as a hardware-compiler hybrid - in this project. Our research has identified that maintaining metadata with pointers in a disjoint metadata space and performing bounds and use-after-free checking can provide comprehensive memory safety. We describe the rationale behind the design decisions and its ramifications on various dimensions, our experience with the various variants that we explored in this project, and the lessons learned in the process. We also describe and analyze the forthcoming Intel Memory Protection Extensions (MPX) that provides hardware acceleration for disjoint metadata and pointer checking in mainstream hardware, which is expected to be available later this year

Morphological autonomy and the long-term vitality of morphomes: stem-final consonant loss in Romance verbs and paradigmatic analogy

Morphologists of different backgrounds disagree with respect to the degree of autonomy of the morphological component of language from syntax and semantics. A precise and objective quantification of the diachronic productivity of Romance morphomes is the piece of evidence most crucially missing from this debate. On the basis of 502 morphophonological innovations associated with the loss of stem-final consonants across 63 Romance varieties, this paper quantifies the degree of productivity of different morphomes (the N pattern is found to be the most productive one) and of morphomic templates generally (15% of novel stem alternations are found to abide by them). Although a strong attraction effect is detectable for morphomes, the numbers suggest that the morphological autonomy and longevity of stem alternations in the family might have been somewhat overstated. For an optimal account of the morphological innovations observed, reference to inherited morphomic structure, semantic structure, and to frequency of use are needed in similar proportions