The road map to building new dreams : raising a child with developmental delay or disability

Research on early childhood education emphasises the importance of quality in early childhood intervention. This study examines the quality of Early Childhood Intervention Services based on parents’ experiences raising a child with developmental delay or disability. The study builds on the philosophy of Family-Centred Practice and professionals’ experiences with family-centred interventions. A qualitative case study approach was adopted to gain insight about families who are raising a child with additional needs. Nine in-depth parent-interviews and three focus groups with professionals were conducted in the first two terms of 2010. The case explicates the experiences of parents and professionals who were associated with Specialist Children’s Services in a metropolitan region of Victoria. The research concentrated on the first point of entry to early intervention, the referrals process and the waiting list. It also addressed parents' experiences, priorities and expectations. As a small-scale study, it examined parents’ and children’s needs as well as children’s access to therapy in early intervention. It also investigated community support and parent-professional relationships in the context of early childhood intervention services. The study found that family-centred intervention is beneficial to both parents and children with developmental delay or disability. However, to implement an effective family-centred approach, practitioner support in the form of professional development, supervision and peer mentorship is required to develop professionals’ reflexivity and self-efficacy in family-centred interventions. The study also identified strategies to promote effective practice, gaps in universal and specialised services, and implications for policy.

Growing self-organizing map for online continuous clustering

The internet age has fuelled an enormous explosion in the amount of information generated by humanity. Much of this information is transient in nature, created to be immediately consumed and built upon (or discarded). The field of data mining is surprisingly scant with algorithms that are geared towards the unsupervised knowledge extraction of such dynamic data streams. This chapter describes a new neural network algorithm inspired by self-organising maps. The new algorithm is a hybrid algorithm from the growing self-organising map (GSOM) and the cellular probabilistic self-organising map (CPSOM). The result is an algorithm which generates a dynamically growing feature map for the purpose of clustering dynamic data streams and tracking clusters as they evolve in the data stream.

Cluster identification and separation in the growing self-organizing map: application in protein sequence classification

Growing self-organizing map (GSOM) has been introduced as an improvement to the self-organizing map (SOM) algorithm in clustering and knowledge discovery. Unlike the traditional SOM, GSOM has a dynamic structure which allows nodes to grow reflecting the knowledge discovered from the input data as learning progresses. The spread factor parameter (SF) in GSOM can be utilized to control the spread of the map, thus giving an analyst a flexibility to examine the clusters at different granularities. Although GSOM has been applied in various areas and has been proven effective in knowledge discovery tasks, no comprehensive study has been done on the effect of the spread factor parameter value to the cluster formation and separation. Therefore, the aim of this paper is to investigate the effect of the spread factor value towards cluster separation in the GSOM. We used simple k-means algorithm as a method to identify clusters in the GSOM. By using Davies–Bouldin index, clusters formed by different values of spread factor are obtained and the resulting clusters are analyzed. In this work, we show that clusters can be more separated when the spread factor value is increased. Hierarchical clusters can then be constructed by mapping the GSOM clusters at different spread factor values.

Combining ganglion cell topology and data of patients with glaucoma to determine a structure-function map

PURPOSE

A map of community-based obesity prevention initiatives in Australia following obesity funding 2009-2013.

Obesity is the single biggest public health threat to developed and developing economies. In concert with healthy public policy, multi-strategy, multi-level community-based initiatives appear promising in preventing obesity, with several countries trialling this approach. In Australia, multiple levels of government have funded and facilitated a range of community-based obesity prevention initiatives (CBI), heterogeneous in their funding, timing, target audience and structure. This paper aims to present a central repository of CBI operating in Australia during 2013, to facilitate knowledge exchange and shared opportunities for learning, and to guide professional development towards best practice for CBI practitioners.

A strong provably secure IBE scheme without bilinear map

Identity-based encryption (IBE) allows one party to send ciphered messages to another using an arbitrary identity string as an encryption key. Since IBE does not require prior generation and distribution of keys, it greatly simplifies key management in public-key cryptography. According to the Menezes-Okamoto-Vanstone (MOV) reduction theory, the IBE scheme based on bilinear map loses the high efficiency of elliptic curve because of the requirement of large security parameters. Therefore, it is important to build a provably secure IBE scheme without bilinear map. To this end, this paper proposes an improved IBE scheme that is different from the previous schemes because this new scheme does not use symmetric encryption algorithm. Furthermore, it can be proven to be secure against adaptively chosen identity and chosen plaintext attacks in the standard model. Elaborated security and performance analysis demonstrate that this new scheme outperforms the previous ones in terms of the time complexity for encryption and decryption.

Detailed Map and Recreational Suitability Assessment of the Colby Trail System

This map is designed as a resource for students and the public to use and develop a better understanding of the trails system on the Colby Campus. I used a Garmin GPSmap 60CS to chart all the trails on Runnals Hill and in the Arboretum. Then, using ArcGIS, I compiled the tracked trails and laid them over an aerial photo of the campus. Because many of the trails are hard to find, I took digital photos of each trail entry to help the user locate them. Then, by taking note of the grade and width of the trail, I decided which trails were suitable for certain activities. This gives users an idea of where to go for walking, running, mountain biking, cross-country skiing, and snowshoeing.