Quantifying the relationship between mechanical loading and the skeletal response in pre- and early-pubertal girls

PURPOSE
Before exercise prescription for bone health can be recommended, the relationship between mechanical loading characteristics and the skeletal response need to be quantified. We asked i) does moderate impact exercise result in a greater gain in BMC than low impact exercise, ii) what are the loading characteristics associated with a moderate and low impact exercise program and does this differ from non-structured play?, and iii) does loading history affect the osteogenic response to a moderate or low impact program?

METHODS
Sixty-eight pre- and early-pubertal girls (aged 8.9 +/- 0.2 yrs) were randomized to take part in a moderate or low impact exercise program 3 times/wk for 8.5 mnths. The number and type of loads associated with the exercise classes and non-structured play (recess) were assessed from video footage. The magnitude of load was assessed using a pedar in-sole mobile system. Hours of moderate and high impact organized sport were assessed from a physical activity questionnaire.

RESULTS
The moderate and low impact exercise programs consisted of -400 impacts per class, but the jumping, hopping and dynamic activities performed during the moderate impact program produced forces ranging from 2 to 4 times body weight (BW) compared to -1 BW for the low impact program. Moderate impact exercise resulted in a 2.7% greater gain in BMC at the tibia compared to the low impact exercise. The moderate impact exercise program consisted of fewer low impacts (1-2 BW) and a higher number of moderate impacts (2-4BW) compared to those typically performed during non-structured play. There were greater gains in BMC in subjects participating in the moderate versus the low impact exercise programs who participated in 2 to 3 hours of moderate impact sports outside school (2.5% to 4.5%, p

CONCLUSION
Approximately 400 impacts ranging 2-4 BW, 3 times/wk was enough stimuli to result in an osteogenic response in normally active girls; even in those actively involved in moderate impact sports outside school.

Hydro-acoustic remote sensing of benthic biological communities on the shallow South East Australian continental shelf

Information regarding the composition and extent of benthic habitats on the South East Australian continental shelf is limited. In this habitat mapping study, multibeam echosounder (MBES) data are integrated with precisely geo-referenced video ground-truth data to quantify benthic biotic communities at Cape Nelson, Victoria, Australia. Using an automated decision tree classification approach, 5 representative biotic groups defined from video analysis were related to hydro-acoustically derived variables in the Cape Nelson survey area. Using a combination of multibeam bathymetry, backscatter and derivative products produced highest overall accuracy (87%) and kappa statistic (0.83). This study demonstrates that decision tree classifiers are capable of integrating variable data types for mapping distributions of benthic biological assemblages, which are important in maintaining biodiversity and other system services in the marine environment.

An explicit representational focus for teaching and learning about animals in the environment

There has been growing interest in linking the learning of Science with the literacies of Science and representations. Recent attention has been focused on learning theories that emphasise the socio-cultural and situated aspects of learning, and in particular the notion of learning as participation in a discourse community. This paper will describe a learning sequence planned wilh Year 5/6 teachers to study invertebrates in the schoolground environment, but with an additional focus in which students generated and negotiated representations, and discussed the adequacy of these. The paper will present data from video capture of classroom activities, students' work samples, and pre- and post-unit testing, to explore what a representational focus might entail in teaching science, and the role of representations in learning, reasoning and exploring in science.

Presbyterian ethos and environment in the novels of John Buchan : a religious and historical study

The aim of this thesis is to establish, from a historical and religious perspective, that the Presbyterian ethos and environment in which John Buchan was reared was the predominating influence in the writing of his novels. Presbyterianism was not the only influence on Buchan that determined the character of his stories. Buchan was by temperament a romantic, and this had considerable influence on his literature. His novels are romances, peopled by romantic figures who pursue romantic adventures. There are the signs of Buchan's romantic nature in the contents of the novels: creative imagination, sensitivity to nature, and expectations of the intrusion of other worlds, with destiny-determining events to follow. But Buchan had also an acquired classicism. His studies at Glasgow and Oxford Universities brought him in touch with a whole range of the master-pieces of classical literature, especially the works of Plato and Virgil. This discipline gave him clarity and conciseness in style, and balanced the romantic element in him, keeping his work within the bounds of reason. At the heart of Buchan's life and work, however, was his deeply religious nature and this, while influenced by romanticism and classicism, was the dominant force behind his work. Buchan did not accept in its entirety the Presbyterian doctrine conveyed to him by his father and his Church. He was moderate by temperament and shrank from excesses in religious matters, and, being a romantic, he shied away from any fixed creeds. He did embrace the fundamentals of Christianity, however, which he learned from his father and his Church, even if he did put aside the Rev. John's orthodox Calvinism. The basic Christianity which underlies all Buchan's novels has the stamp of Presbyterianism upon it, and that stamp is evident in his characters and their adventures. The expression of Christianity which Buchan embraced was the Christian Platonism of seventeenth century theologians, who taught and preached at Cambridge University, They gave prominence to the place of reason and conscience in man's search for God, They believed that reason and conscience were the ‘candle of the Lord’ which was existed every one. It was their conviction that, if that light was followed, it would lead men and women to God. They were against superstition and fanaticism in religion, against all forms of persecution for religious beliefs, and insisted that God could only be known by renouncing evil and setting oneself to live according to God’s will. This teaching Buchan received, but the stamp of his Presbyterianism was not obliterated. The basic doctrines which arose from his father's Presbyterianism and are to be found in Buchan's novels are as follows: a. the fear (or awe) of God, as life's basic religious attitude; b. the Providence of God as the ultimate determinative force in the outcome of events; c. the reality, malignity and universality of evil which must be forcefully and constantly resisted; d. the dignity of human beings in bearing God's image; e. the conviction that life has meaning and that its ultimate goal, therefore, is a spiritual one - as opposed to the accumulation of wealth, the achieving of recognition from society, and the gaining access to power; f. the necessity of challenge in life for growth and fulfilment, and the importance of fortitude in successfully meeting such challenge; g. the belief that, in the purpose of God, the weak confound the strong. These emphases of Presbyterianism are to be found in all Buchan's novels, to a greater or lesser degree. All his characters are serious people, with a moral purpose in life. Like the pilgrims of the Bible, they seek a country: true fulfilment. This quest becomes more spiritual and more dearly defined as Buchan grows in age and maturity. The progress is to be traced from his early novels, where fulfilment is sought in honour and self-approving competence, as advocated by classicism; to the novels of his middle years, where fulfilment is sought in adventures suggested by romanticism. In his final novel Sick Heart River. Buchan appears to have moved somewhat from his earlier classicism and his romanticism as the road to fulfilment. In this novel, Buchan expresses what, for him, is ultimate fulfilment: a conversion to God that produces self-sacrificing love for others. The terminally-ill Edward Leithen sets out on a romantic adventure that will enable him to die with dignity, and so, in classic style, justify his existence. He has a belief in God, but in a God who is almighty, distant and largely irrelevant to Leithen's life. In the frozen North of Canada, where he expects to find his meagre beliefs in God's absolute power confirmed by the icy majesty of mountain and plain, he finds instead God's mercy and it melts his heart. In a Christ-like way, he brings life to others through his death, believing that, through death, he will find life. There is sufficient evidence to give plausibility to the view that Buchan is describing in Leithen his own pilgrimage. If so, it means that Buchan found his way back to the fundamental experience of the Christian life, conversion, so strongly emphasised in his orthodox Presbyterianism home and Church. However, Buchan reaches this conclusion in a Christian Platonist way, through the natural world, rather than through the more orthodox pathway of Scripture.

Facial image analysis

This thesis focuses on novel technologies for facial image analysis, which involves three topics: face recognition under uncontrolled conditions, automatic facial age estimation, and context-aware fusion of face and gait. They are either key issues bridging laboratorial research and real applications, or innovative problems that have barely been studied before.

Semantic trajectory based event detection and event pattern mining

Video event detection is an effective way to automatically understand the semantic content of the video. However, due to the mismatch between low-level visual features and high-level semantics, the research of video event detection encounters a number of challenges, such as how to extract the suitable information from video, how to represent the event, how to build up reasoning mechanism to infer the event according to video information. In this paper, we propose a novel event detection method. The method detects the video event based on the semantic trajectory, which is a high-level semantic description of the moving object’s trajectory in the video. The proposed method consists of three phases to transform low-level visual features to middle-level raw trajectory information and then to high-level semantic trajectory information. Event reasoning is then carried out with the assistance of semantic trajectory information and background knowledge. Additionally, to release the users’ burden in manual event definition, a method is further proposed to automatically discover the event-related semantic trajectory pattern from the sample semantic trajectories. Furthermore, in order to effectively use the discovered semantic trajectory patterns, the associative classification-based event detection framework is adopted to discover the possibly occurred event. Empirical studies show our methods can effectively and efficiently detect video events.

Robust learning of discriminative projection for multicategory classification on the Stiefel manifold

Learning a robust projection with a small number of training samples is still a challenging problem in face recognition, especially when the unseen faces have extreme variation in pose, illumination, and facial expression. To address this problem, we propose a framework formulated under statistical learning theory that facilitates robust learning of a discriminative projection. Dimensionality reduction using the projection matrix is combined with a linear classifier in the regularized framework of lasso regression. The projection matrix in conjunction with the classifier parameters are then found by solving an optimization problem over the Stiefel manifold. The experimental results on standard face databases suggest that the proposed method outperforms some recent regularized techniques when the number of training samples is small.

Ridge regression for two dimensional locality preserving projection

Two Dimensional Locality Preserving Projection (2D-LPP) is a recent extension of LPP, a popular face recognition algorithm. It has been shown that 2D-LPP performs better than PCA, 2D-PCA and LPP. However, the computational cost of 2D-LPP is high. This paper proposes a novel algorithm called Ridge Regression for Two Dimensional Locality Preserving Projection (RR- 2DLPP), which is an extension of 2D-LPP with the use of ridge regression. RR-2DLPP is comparable to 2DLPP in performance whilst having a lower computational cost. The experimental results on three benchmark face data sets - the ORL, Yale and FERET databases - demonstrate the effectiveness and efficiency of RR-2DLPP compared with other face recognition algorithms such as PCA, LPP, SR, 2D-PCA and 2D-LPP.

Classifying and learning cricket shots using camera motion

This paper presents a method to classify and learn cricket shots. The procedure begins by extracting the camera motion parameters from the shots. Then the camera parameter values are converted to symbolic form and combined to generate a symbolic description that defines the trajectory of the cricket bell. The description generated is used to classify the cricket shot and to dynamically expand or update the system's knowledge of shots. The first novel aspect of this approach is that by using the camera motion parameters, a complex and difficult process of low level image segmenting of either the batsman or the cricket ball from video images is avoided. Also the method does not require high resolution images. Another novel aspect of this work is the use of a new incremental learning algorithm that enables the system to improve and update its knowledge base. Unlike previously developed algorithms which store training instances and have simple method to prime their concept hierarchies, the incremental learning algorithm used in this work generates compact concept hierarchies and uses evidence based forgetting. The results show that the system performs well in the task of classifying four types of cricket shots.

The contribution of creativity to human development in a new nation: a case study of Afalyca community art centre, Timor-Leste

This article describes the contribution of creativity to human development in the new nation of Timor-Leste, exemplified in a case study of community art centre Afalyca. By taking a creative approach to the challenges of life in his developing country, the young leader of this enterprise, Marqy da Costa, is realising his own potential more fully and offering enriching experiences to others. The impact of his centre on a range of stakeholders, including staff, participants and the wider community is discussed. For participants, the outcomes of their involvement include enjoyable opportunities for creative expression; valued recognition from national and international audiences; the broadening of life experience to encompass new possibilities for self-actualisation; skill development and income from employment and sales.

The factors that have contributed to Afalcya's creative achievements are examined. These include inspiration and assistance received from organisations and individuals in and outside of Timor, family support, and the age and gender of leaders. Also significant are founder Marqy's personal characteristics of artistic talent, social and language skills, love of learning, persistence and conciliatory approach to conflict. Barriers to the realisation of Afalcya's potential include lack of systemic recognition of the value of creativity for sustainable development, unsupportive bureaucracy and gender related restrictions of participation for women. The potential for similar initiatives to contribute to a positive future for Timorese people is explored.

On film character retrieval in feature-length films

The problem of automatic face recognition (AFR) concerns matching a detected (roughly localized) face against a database of known faces with associated identities. This task, although very intuitive to humans and despite the vast amounts of research behind it, still poses a significant challenge to computer-based methods. For reviews of the literature and commercial state-of-the-art see [21, 372] and [252, 253]. Much AFR research has concentrated on the user authentication paradigm (e.g. [10, 30, 183]). In contrast, we consider the content-based multimedia retrieval setup: our aim is to retrieve, and rank by confidence, film shots based on the presence of specific actors. A query to the system consists of the user choosing the person of interest in one or more keyframes.

Learning over sets using boosted manifold principal angles (BoMPA)

In this paper we address the problem of classifying vector sets. We motivate and introduce a novel method based on comparisons between corresponding vector subspaces. In particular, there are two main areas of novelty: (i) we extend the concept of principal angles between linear subspaces to manifolds with arbitrary nonlinearities; (ii) it is demonstrated how boosting can be used for application-optimal principal angle fusion. The strengths of the proposed method are empirically demonstrated on the task of automatic face recognition (AFR), in which it is shown to outperform state-of-the-art methods in the literature.