Purposeful exploratory learning with video using analysis categories

There is still much to be learnt about best practices in leveraging digital resources for learning in higher education. Research on student interactions with online video indicates such practices are as minimal as setting passive-receptive viewing through to teacher-structured purposeful engagement. This position paper focuses on teacher-set analysis categories to guide student exploration of digital video content and to help novices to scaffold their thinking. Various uses of analysis categories within one Australian university in conjunction with a video annotation tool are reviewed. Then practice examples from other universities are reviewed to demonstrate the use of analysis categories in higher education settings without an annotation tool. The literature indicates that the use of categories to inform the design of digital video analysis needs to ensure that the learning challenge is retained. Analysis guided by teacher-set categories tends to be beneficial for performance evaluation in particular. Further research on university teacher practices with digital video is required.

Knowledge, identities and dilemmas of the self in physical education teacher education

The purpose of this study was to understand how becoming a physical education teacher is shaped by personally and socially constructed knowledge and is affected by the rules and resources of the structural systems in which physical education teacher education (PETE) takes place. The study was influenced by the traditions of Personal Construct Theory (Kelly 1955), the theoretical tenets of social constructionism (Gergen 1991), and Giddens’s work on structuration (1984) and self-identity (1991). Ten PETE students participated in the study over almost three years. They undertook repertory grid sessions periodically through their study, followed by ‘learning conversations’, in which the grid itself was discussed, reworked and collaboratively analysed. All conversations were audio taped and were fully transcribed. The data were analysed in three ways, all of which were used to construct a story of the study. First, the grids were analysed for patterns, consistencies across students and for consistencies within students. These grids provided the first level story that related to constructions of knowledge. These constructions were then content analysed using analysis categories developed from Gergen’s notion of the saturated self and Giddens’ ideas of identity in late modernity. These analyses represented what Giddens calls a double hermeneutic since to all intents and purposes, the story of the study was constructed from the participants’ constructions of what it is to be a physical education teacher. The data suggests that during the process of constructing professional knowledge the student experienced a series of dilemmas of professional self-identity. It seems that to become a PE teacher, the dilemmas must be worked through until a position of what Giddens calls ontologist security has been achieved. Some students in this study had not managed to reach such a point before they left university and entered the teaching profession. In spite of this, the methods of the study allowed the participants to begin to articulate their theories and visions of teaching physical education. The therapeutic qualities of Kelly’s theory encouraged a number of the students to ‘see it differently’ (Rossi, 1997) and to begin to develop a rationale for physical education based on educational practice that considers the needs of individuals and the promotion of a socially just community. I have argued however that this ‘critical’ approach to physical education pedagogy was considered risky and as such students who were prepared to engage in such risk strategies also had other strategic relational selves (Gergen, 1991) to minimise risk at key times during their teacher education.

An analysis of the involvement-commitment relationship across product categories

An involvement-commitment-loyalty model is proposed and tested with AMOS. The results for fast-moving-consumer-goods (fmcg) are consistent with the theory. Ego involvement influences purchase involvement, which influences brand commitment, which influences customer loyalty. The results for the more ego-involved service of hair stylists, however, showed a different result. Purchase loyalty did not mediate the relationship between ego involvement and brand commitment, but instead ego involvement had a direct relationship with brand commitment.

Validity and reliability of a voice-recognition game analysis system for field sports

The purpose of this study was to assess the ability of observers to use voice-recognition analysis to accurately classify gait transitions and quantify gait durations typical of team games. Inter-rater and intra-rater reliability was also determined. Four males were filmed performing pre-determined gait protocols, each comprising different sequences of walking, jogging. running and sprinting. Two operators independently classified gait transitions and the time spent in each gait was determined by the voice recognition system. All gait modes as measured by trained observers demonstrated statistically significant correlations (p<O.O I) to predetermined measurement criteria. The mean absolute error for all gait transitions was less than half a second (0.32-0.36 5) with the maximum percentage error being approximately 4% for the walk, jog and run gaits and 10% for sprinting. Gait classification error was low at 1-9%. The intra-rater and inter-rater reliability was consistently high ranging from r =' 0.87 to 0.99. In conclusion, observers using voice-recognition software provided valid measures of time spent in each of the four gait categories with 90% or better accuracy achieved.

Identifying cis-regulatory elements by statistical analysis and phylogenetic footprinting and analyzing their coexistence and related gene ontology

Discovery of cis-regulatory elements in gene promoters is a highly challenging research issue in computational molecular biology. This paper presents a novel approach to searching putative cis-regulatory elements in human promoters by first finding 8-mer sequences of high statistical significance from gene promoters of humans, mice, and Drosophila melanogaster, respectively, and then identifying the most conserved ones across the three species (phylogenetic footprinting). In this study, a conservation analysis on both closely related species (humans and mice) and distantly related species (humans/mice and Drosophila) is conducted not only to examine more candidates but also to improve the prediction accuracy. We have found 124 putative cis-regulatory elements and grouped these into 20 clusters. The investigation on the coexistence of these clusters in human gene promoters reveals that SP1, EGR, and NRF-1 are the dominant clusters appearing in the combinatorial combination of up to five clusters. Gene Ontology (GO) analysis also shows that many GO categories of transcription factors binding to these cis-regulatory elements match the GO categories of genes whose promoters contain these elements. Compared with previous research, the contribution of this study lies not only in the finding of new cis-regulatory elements, but also in its pioneering exploration on the coexistence of discovered elements and the GO relationship between transcription factors and regulated genes. This exploration verifies the putative cis-regulatory elements that have been found from this study and also gives new insight on the regulation mechanisms of gene expression.

The composition of brand knowledge across product categories

This research reported in this paper tested the composition of the brand knowledge construct across three product categories. The brand knowledge construct was tested for a fast-moving consumer good (fmcg), a service, and a durable good. A quasi-experimental method was utilised, with the order of recall manipulated. Respondents undertook a free recall exercise using category cues, and then completed multi-item measures of brand knowledge. This exercise was repeated for each product category. A usable sample of 270 responses was gained. Analysis of the data found that respondents utilised different components of the knowledge construct depending on the product category being recalled. In addition, the order of recall (fmcg or durable first) affected the recall performance for later categories. Recall performance was highest for the durable category, which indicated that respondents may have been delving into different memory stores, and accessing long-term memory for durable good recall. This paper makes a contribution to the field of branding by providing a test of the knowledge structure across three product categories, and indicating the components that contribute to knowledge for each category. These findings have implications for advertising design, and the formation of links to brands in memory by advertisers, for use in later recall episodes.

On the communal analysis suspicion scoring for identity crime in streaming credit applications

This paper describes a rapid technique: communal analysis suspicion scoring (CASS), for generating numeric suspicion scores on streaming credit applications based on implicit links to each other, over both time and space. CASS includes pair-wise communal scoring of identifier attributes for applications, definition of categories of suspiciousness for application-pairs, the incorporation of temporal and spatial weights, and smoothed k-wise scoring of multiple linked application-pairs. Results on mining several hundred thousand real credit applications demonstrate that CASS reduces false alarm rates while maintaining reasonable hit rates. CASS is scalable for this large data sample, and can rapidly detect early symptoms of identity crime. In addition, new insights have been observed from the relationships between applications.

Computer-assisted image analysis of liver collagen: relationship to Ishak scoring and hepatic venous pressure gradient

Histopathological scoring of disease stage uses descriptive categories without measuring the amount of fibrosis. Collagen, the major component of fibrous tissue, can be quantified by computer-assisted digital image analysis (DIA) using histological sections. We determined relationships between DIA, Ishak stage, and hepatic venous pressure gradient (HVPG) reflecting severity of fibrosis. One hundred fifteen patients with hepatitis C virus (HCV) who had undergone transplantation had 250 consecutive transjugular liver biopsies combined with HVPG (median length, 22 mm; median total portal tracts, 12), evaluated using the Ishak system and stained with Sirus red for DIA. Liver collagen was expressed as collagen proportionate area (CPA). Median CPA was 6% (0.2-45), correlating with Ishak stage (stage 6 range, 13%-45%), and with HVPG (r = 0.62; P < 0.001). Median CPA was 4.1% when HVPG was less than 6 mm Hg and 13.8% when HVPG was 6 mm Hg or more (P < 0.0001) and 6% when HVPG was less than 10 mm Hg and 17.3% when HVPG was 10 mm Hg or higher (P < 0.0001). Only CPA, not Ishak stage/grade, was independently associated by logistic regression, with HVPG of 6 mm Hg or more [odds ratio, 1.206; 95% confidence interval (CI), 1.094-1.331; P < 0.001], or HVPG of 10 mm Hg or more (odds ratio, 1.105; 95% CI, 1.026-1.191; P = 0.009). CPA increased by 50% (3.6%) compared with 20% in HVPG (1 mm Hg) in 38 patients with repeated biopsies. Conclusion: CPA assessed by DIA correlated with Ishak stage scores and HVPG measured contemporaneously. CPA was a better histological correlate with HVPG than Ishak stage, had a greater numerical change when HVPG was low, and resulted in further quantitation of fibrosis in cirrhosis.

Empirical analysis of customer behaviors in Chinese e-commerce

With the burgeoning e-Business websites, E-Commerce in China has been developing rapidly in recent years. From the analysis of Chinese E-Commerce market, it is possible to discover customer purchasing patterns or behavior characteristics, which are indispensable knowledge for the expansion of Chinese E-Commerce market. This paper presents an empirical analysis on the sale transactions from the 360buy website based on the analysis of time interval distributions in perspectives of customers. Results reveal that in most situations the time intervals approximately obey the power-law distribution over two orders of magnitudes. Additionally, time interval on customer’s successive purchase can reflect how loyal a customer is to a specific product category. Moreover, we also find an interesting phenomenon about human behaviors that could be related to psychology of customers. In general, customers’ requirements in different product categories are similar. The investigation into individual behaviors may help researchers understand how customers’ group behaviors generated.

A critical analysis of techniques for risk mitigation in the construction industry

Risks exist in every form of construction project. The risks associated with construction projects are often diverse and varied and the management of these risks is nowadays considered compulsory in order to achieve project success. This paper analyses the diverse strategies of risk mitigation that have been employed in construction projects. These strategies are classified into analysed categories of procurement strategies. contingency and co-operative approach along with the utilisation of a designated risk manager. The analysis showed that in order to improve risk mitigation within the construction industry, there is a requirement tor an industry based standard. This standard will improve the efficiency and effectiveness of the risk mitigation response technique to risk management.

The Pathways model of assault : a qualitative analysis of the assault offender and offence

Research on offending behavior rehabilitation suggests that offenders would gain the maximum benefit from programs that reflect the individual needs of different types of offender. Multivariate theories of offending behavior are thus required to inform individualized rehabilitation. The aim of the current study was to construct a multivariate model for the prolific offense of assault. Qualitative methodology was used to construct a descriptive model of assault for 25 adult assault offenders. The model incorporated the development of violent behavior, types of anger, violence motivation, and the assault offense. The model consisted of 14 categories, 10 of which allowed for individual differences in behavior. A total of 35 participant transcripts were then coded through the model where the individual differences occurred. Five main offense types were found. The characteristics of the types of assault offense gave indications for how rehabilitation may be targeted for each group.

Trust mechanisms in wireless sensor networks : attack analysis and countermeasures

As the trust issue in wireless sensor networks is emerging as one important factor in security schemes, it is necessary to analyze how to resist attacks with a trust scheme. In this paper we categorize various types of attacks and countermeasures related to trust schemes in WSNs. Furthermore, we provide the development of trust mechanisms, give a short summarization of classical trust methodologies and emphasize the challenges of trust scheme in WSNs. An extensive literature survey is presented by summarizing state-of-the-art trust mechanisms in two categories: secure routing and secure data. Based on the analysis of attacks and the existing research, an open field and future direction with trust mechanisms in WSNs is provided.

Finding the beat : an analysis of the rhythmic elements of motion pictures

This paper presents a new study on the application of the framework of Computational Media Aesthetics to the problem of automated understanding of film. Leveraging Film Grammar as the means to closing the "semantic gap" in media analysis, we examine film rhythm, a powerful narrative concept used to endow structure and form to the film compositionally and enhance its lyrical quality experientially. The novelty of this paper lies in the specification and investigation of the rhythmic elements that are present in two cinematic devices; namely motion and editing patterns, and their potential usefulness to automated content annotation and management systems. In our rhythm model, motion behavior is classified as being either nonexistent, fluid or staccato for a given shot. Shot neighborhoods in movies are then grouped by proportional makeup of these motion behavioral classes to yield seven high-level rhythmic arrangements that prove to be adept at indicating likely scene content (e.g. dialogue or chase sequence) in our experiments. The second part of our investigation presents a computational model to detect editing patterns as either metric, accelerated, decelerated or free. Details of the algorithm for the extraction of these classes are presented, along with experimental results on real movie data. We show with an investigation of combined rhythmic patterns that, while detailed content identification via rhythm types alone is not possible by virtue of the fact that film is not codified to this level in terms of rhythmic elements, analysis of the combined motion/editing rhythms can allow us to determine that the content has changed and hypothesize as to why this is so. We present three such categories of change and demonstrate their efficacy for capturing useful film elements (e.g. scene change precipitated by plot event), by providing data support from five motion pictures.

Finding the beat : an analysis of the rhythmic elements of motion pictures

This paper forms a continuation of our work focused on exploiting film grammar for the task of automated film understanding. We examine film rhythm, a powerful narrative concept used to endow structure and form to the film compositionally and to enhance its lyrical quality experientially. Of the many, often complex, cinematic devices contributing to film rhythm, this paper investigates the rhythmic elements that are present in edited sequences of shots, and presents a novel computational model to detect shot structural rhythm as either metric, accelerated, decelerated, or free. Details of the algorithm for the extraction of these editing rhythm classes are presented, along with experimental results on real movie data. Following this we study the usefulness of combining the rhythmic patterns induced through both motion and editing in film. We show that, whilst detailed content identification via rhythm types alone is not possible by virtue of the fact that film is not codified to this level in terms of rhythmic elements, analysis of the combined motion/shot rhythm can allow us to determine that the content has changed and hypothesize as to why this is so. We present 3 such categories of change and demonstrate their efficacy for capturing useful film elements (e.g., scene change precipitated by plot event), by providing data support from 5 motion pictures.

Cancer survival in Australia 1992–1997 : geographic categories and socioeconomic status

Cancer Survival in Australia 1992-1997 is the first national analysis of how cancer survival varies by socioeconomic status and geographic region. It presents an analysis of five-year relative survival proportions by geographic category and socioeconomic status for persons diagnosed with cancer during the years 1992-1997.This analysis is presented by age and sex for all cancers (Excluding non-melanocytic skin cancers) combined and for the following National Health Priority Area cancers - colorectal cancer, cancer of the lung, melanoma, cancer of the breast (females only), cancer of the cervix, cancer of the prostate, and non-Hodgkin's lymphoma.This report is the third in a series of three reports on relative survival after being diagnosed with cancer. It is an important reference for all those interested in the health of Australians.