Improving usability of e-commerce websites via tag-based customisation : a study on online and mobile banking

This thesis is an exploration of customisation in online and mobile banking. It investigates the application of user-tags to facilitate customised interactions in desktop and mobile devices, and its impact on usability. The thesis through a comparative study explains that customisation can positively affect usability especially for younger users, leading to higher levels of satisfaction.

The influence of perpetrator and victim intoxication on perceivers' ratings of a sexual perpetrator's own awareness of wrongdoing for his sexually aggressive behaviour

Rape-perception studies have examined the influence of alcohol intoxication on perpetrator blame attributions: However, no studies have examined how intoxication affects perceptions of a sexual perpetrator’s awareness of the wrongfulness of his behaviour despite its relevance to the conceptualisation of responsibility and blame. This experiment investigated the impact of perpetrator and victim intoxication on perceptions of a perpetrator’s own awareness of wrongdoing for acquaintance rape. Undergraduate students (N = 314) read one of four rape-scenarios in which intoxication was manipulated and rated the perpetrator’s awareness of the consequences and wrongfulness of his sexual aggression. Findings supported the hypothesis that participants would assign less awareness of wrongdoing to an intoxicated, compared to sober, perpetrator. Further, males ascribed more awareness of wrongdoing to the perpetrator of an intoxicated, compared to sober, victim. Findings indicate that intoxicated sexual perpetrators are seen as not fully aware of the nature and consequences of their crime.

Pancreatic cancer – a patient and his doctor balance hope and truth [Book Review]

This book comprises 11 chapters, alternating between two authors (a patient with metastatic pancreatic cancer and an oncologist)...

A tag-based personalized item recommendation system using tensor modeling and topic model approaches

This research falls in the area of enhancing the quality of tag-based item recommendation systems. It aims to achieve this by employing a multi-dimensional user profile approach and by analyzing the semantic aspects of tags. Tag-based recommender systems have two characteristics that need to be carefully studied in order to build a reliable system. Firstly, the multi-dimensional correlation, called as tag assignment , should be appropriately modelled in order to create the user profiles [1]. Secondly, the semantics behind the tags should be considered properly as the flexibility with their design can cause semantic problems such as synonymy and polysemy [2]. This research proposes to address these two challenges for building a tag-based item recommendation system by employing tensor modeling as the multi-dimensional user profile approach, and the topic model as the semantic analysis approach. The first objective is to optimize the tensor model reconstruction and to improve the model performance in generating quality rec-ommendation. A novel Tensor-based Recommendation using Probabilistic Ranking (TRPR) method [3] has been developed. Results show this method to be scalable for large datasets and outperforming the benchmarking methods in terms of accuracy. The memory efficient loop implements the n-mode block-striped (matrix) product for tensor reconstruction as an approximation of the initial tensor. The probabilistic ranking calculates the probabil-ity of users to select candidate items using their tag preference list based on the entries generated from the reconstructed tensor. The second objective is to analyse the tag semantics and utilize the outcome in building the tensor model. This research proposes to investigate the problem using topic model approach to keep the tags nature as the “social vocabulary” [4]. For the tag assignment data, topics can be generated from the occurrences of tags given for an item. However there is only limited amount of tags availa-ble to represent items as collection of topics, since an item might have only been tagged by using several tags. Consequently, the generated topics might not able to represent the items appropriately. Furthermore, given that each tag can belong to any topics with various probability scores, the occurrence of tags cannot simply be mapped by the topics to build the tensor model. A standard weighting technique will not appropriately calculate the value of tagging activity since it will define the context of an item using a tag instead of a topic.

Qld flood inquest : ‘I could see his arms moving, he was trying to swim’

"Despite the 10 months of grieving for those lost in Queensland’s January floods, new evidence produced during the coronial inquest into the 22 deaths and three disappearances has revealed new shocks for the bereaved families. Brisbane Coroner’s Court yesterday was introduced to a series of high-tech Google Earth animations backed by funereal music, explaining the scope of the unfolding tragedy, which swept away husbands, wives, children and grandparents in less than three hours on the afternoon of January 10 this year. The court was also told of the extensive search for human remains, of 131 kilometres of creeks and rivers from Spring Bluff to Brisbane and hundreds of dams that were searched three times by police divers, 250 army personnel and 200 police."

Enriques' Journey: The Story of a Boy's Dangerous Odyssey to Reunite with his Mother

Nazario, Sonia (2006). New York: Random House, Inc.; 294 pages. $26.95. ISBN 1400062055.

Do-Rank: DCG optimization for learning-to-rank in tag-based item recommendation systems

Discounted Cumulative Gain (DCG) is a well-known ranking evaluation measure for models built with multiple relevance graded data. By handling tagging data used in recommendation systems as an ordinal relevance set of {negative,null,positive}, we propose to build a DCG based recommendation model. We present an efficient and novel learning-to-rank method by optimizing DCG for a recommendation model using the tagging data interpretation scheme. Evaluating the proposed method on real-world datasets, we demonstrate that the method is scalable and outperforms the benchmarking methods by generating a quality top-N item recommendation list.

Transferability of cupped oyster EST (Expressed Sequence Tag)-derived SNP (Single Nucleotide Polymorphism) markers to related crassostrea and ostrea species

Single nucleotide polymorphisms (SNPs) are widely acknowledged as the marker of choice for many genetic and genomic applications because they show co-dominant inheritance, are highly abundant across genomes and are suitable for high-throughput genotyping. Here we evaluated the applicability of SNP markers developed from Crassostrea gigas and C. virginica expressed sequence tags (ESTs) in closely related Crassostrea and Ostrea species. A total of 213 putative interspecific level SNPs were identified from re-sequencing data in six amplicons, yielding on average of one interspecific level SNP per seven bp. High polymorphism levels were observed and the high success rate of transferability show that genic EST-derived SNP markers provide an efficient method for rapid marker development and SNP discovery in closely related oyster species. The six EST-SNP markers identified here will provide useful molecular tools for addressing questions in molecular ecology and evolution studies including for stock analysis (pedigree monitoring) in related oyster taxa.

Improved estimation of size-transition matrices using tag-recapture data

We derive a new method for determining size-transition matrices (STMs) that eliminates probabilities of negative growth and accounts for individual variability. STMs are an important part of size-structured models, which are used in the stock assessment of aquatic species. The elements of STMs represent the probability of growth from one size class to another, given a time step. The growth increment over this time step can be modelled with a variety of methods, but when a population construct is assumed for the underlying growth model, the resulting STM may contain entries that predict negative growth. To solve this problem, we use a maximum likelihood method that incorporates individual variability in the asymptotic length, relative age at tagging, and measurement error to obtain von Bertalanffy growth model parameter estimates. The statistical moments for the future length given an individual's previous length measurement and time at liberty are then derived. We moment match the true conditional distributions with skewed-normal distributions and use these to accurately estimate the elements of the STMs. The method is investigated with simulated tag-recapture data and tag-recapture data gathered from the Australian eastern king prawn (Melicertus plebejus).

But if you desire God and His Messenger : The concept of choice in Sahih al-Bukhari

The aim of this dissertation is to discuss the concept of choice in the most important collection of Islamic traditions, Sahih al-Bukhari. The author of the collection, Muhammad ibn Isma'il al-Bukhari, lived between 810-870. My starting point is the collection of texts as it is now in its normative, established form. I read the hadiths as pieces of reality, not as statements about reality. The historicity of the texts has no role at all in my analysis. Part I sketches out the hagiography of the life and work of the author and provides a short history of the development of hadith literature and the processes of collecting and classifying the texts are discussed briefly. Part one ends with the presentation of my way of using rhetorical analysis as a methodological tool. Part II introduces my analysis of the concept of choice. It is divided into ten chapters, each concentrating on one hadith cluster. Part II ends with a discussion of the philosophy of free will and predestination in early Islam. Hadith literature is often considered as a representative of predestinarian theology compared to the Qur'an which emphasises the reponsibility of people of their own acts. In my conclusions I suggest that accoding to the texts in Sahih al-Bukhari, people do deal with real choices in their lives. The collection includes both strictly predestinarian texts but it also compises texts which claim that people are demanded to make real choices, even choices concerning life and death.

Estimating equations for parameters in stochastic growth models from tag-recapture data

James (1991, Biometrics 47, 1519-1530) constructed unbiased estimating functions for estimating the two parameters in the von Bertalanffy growth curve from tag-recapture data. This paper provides unbiased estimating functions for a class of growth models that incorporate stochastic components and explanatory variables. a simulation study using seasonal growth models indicates that the proposed method works well while the least-squares methods that are commonly used in the literature may produce substantially biased estimates. The proposed model and method are also applied to real data from tagged rack lobsters to assess the possible seasonal effect on growth.

Investigation of movement and factors influencing post-release survival of line-caught coral reef fish using recreational tag-recapture data

Six species of line-caught coral reef fish (Plectropomus spp., Lethrinus miniatus, Lethrinus laticaudis, Lutjanus sebae, Lutjanus malabaricus and Lutjanus erythropterus) were tagged by members of the Australian National Sportsfishing Association (ANSA) in Queensland between 1986 and 2003. Of the 14,757 fish tagged, 1607 were recaptured and we analysed these data to describe movement and determine factors likely to impact release survival. All species were classified as residents since over 80% of recaptures for each species occurred within 1 km of the release site. Few individuals (range 0.8-5%) were recaptured more than 20 km from their release point. L. sebae had a higher recapture rate (19.9%) than the other species studied (range 2.1-11.7%). Venting swimbladder gases, regardless of whether or not fish appeared to be suffering from barotrauma, significantly enhanced (P < 0.05) the survival of L. sebae and L. malabaricus but had no significant effect (P > 0.05) on L. erythropterus. The condition of fish on release, subjectively assessed by anglers, was only a significant effect on recapture rate for L. sebae where fish in "fair" condition had less than half the recapture rate of those assessed as in "excellent" or "good" condition. The recapture rate of L. sebae and L. laticaudis was significantly (P < 0.05) affected by depth with recapture rate declining in depths exceeding 30 m. Overall, the results showed that depth of capture, release condition and treatment for barotrauma influenced recapture rate for some species but these effects were not consistent across all species studied. Recommendations were made to the ANSA tagging clubs to record additional information such as injury, hooking location and hook type to enable a more comprehensive future assessment of the factors influencing release survival.

Portrait of Surgeon Major Dr. Bing of Nuernberg in his military uniform Portraits Men

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