Protection of big data privacy

In recent years, big data have become a hot research topic. The increasing amount of big data also increases the chance of breaching the privacy of individuals. Since big data require high computational power and large storage, distributed systems are used. As multiple parties are involved in these systems, the risk of privacy violation is increased. There have been a number of privacy-preserving mechanisms developed for privacy protection at different stages (e.g., data generation, data storage, and data processing) of a big data life cycle. The goal of this paper is to provide a comprehensive overview of the privacy preservation mechanisms in big data and present the challenges for existing mechanisms. In particular, in this paper, we illustrate the infrastructure of big data and the state-of-the-art privacy-preserving mechanisms in each stage of the big data life cycle. Furthermore, we discuss the challenges and future research directions related to privacy preservation in big data.

Dynamic route construction for mobile collectors in wireless sensor networks

Wireless sensor networks with mobile data collectors have been recently proposed for extending the sensor network lifetime. Powerful mobile collectors are deployed to patrol the network and approach the static sensors for collecting their data buffers using single hop communication. The route followed by the mobile collector is very crucial for the data collection operation performed in the network and highly impacts the data collection time. This paper presents a practically efficient algorithm for constructing the mobile collector route. The route is constructed dynamically during the network operational time regardless of the sensors data generation rates. The algorithm acts on minimizing the sleeping time and the number of sensors waiting for the arrival of the mobile collector. Simulation results demonstrate that the presented algorithm can effectively reduce the overall data collection time.

Human resource management activities on the front line : a nursing perspective

Objective: To identify the practical human resource management (HRM) issues that may impact on job satisfaction, nurse retention and ultimately quality of patient care of the nurse unit manager's (NUM) role.
Background: NUMs are in the unique position within the healthcare industry to impact upon and effect large numbers of people, including nurses, doctors, patients and their families, and processes on a daily basis. More effective HRM practices could improve performance in terms of staff satisfaction, positive patient outcomes and the cost effectiveness of staff retention.
Method: Two focus groups, one group of nine NUMs and one group of five staff nurses, were conducted at an Australia public hospital. A descriptive phenomenological approach informed data generation and data analysis.
Results: The NUMs reported that they were not adequately trained in the skills required to effectively manage staff conflict such as manipulation and bitterness, requiring disciplinary intervention on an ongoing basis. The consequences included reduced staff morale, decreased staff satisfaction, increased stress to the NUM and ultimately retention issues for both the NUM and Unit staff.
Conclusion: This study highlights the potential impact of inadequate implementation and understanding of HRM policy and practice by NUMS on the front line. Further research is required to understand why this phenomenon exists and how it can be remedied.

Constructing a t-way interaction test suite using the Particle Swarm Optimization approach

This paper presents the design and implementation of a new t-way test generation strategy, known as the Particle Swarm Test Generator (PSTG). Complementing the existing work on t-way testing strategies, PSTG serves as our research vehicle to investigate the applicability of Particle Swarm Optimization for t-way test data generation. The experimental results demonstrate that PSTG is capable of outperforming some of the existing strategies as far as the test size is concerned. Additionally, the evaluation also indicates the effectiveness of PSTG in generating an efficient test suite for testing consideration.

International comparisons of mathematics classrooms and curricula: the validity-comparability compromise

The pursuit of commensurability in international comparative research by imposing general classificatory frameworks can misrepresent valued performances, school knowledge and classroom practice as these are actually conceived by each community and sacrifice validity in the interest of comparability. The “validity-comparability compromise” is proposed as a theoretical concern with significant implications for international cross-cultural research. We draw on current international research to illustrate a variety of aspects of the issue and its consequences for the manner in which international research is conducted and its results interpreted. The effects extend to data generation and analysis and constitute essential contingencies on the interpretation and application of international comparative research.

Ethical challenges associated with providing continence care in residential aged care facilities : findings from a grounded theory study

A person-centred approach to care in residential aged care facilities should uphold residents’ rights to independence, choice, decision-making, participation, and control over their lifestyle. Little is known about how nurses and personal care assistants working in these facilities uphold these ideals when assisting residents maintain continence and manage incontinence. The overall aim of the study was to develop a grounded theory to describe and explain how Australian residents of aged care facilities have their continence care needs determined, delivered and communicated. This paper presents and discusses a subset of the findings about the ethical challenges nurses and personal care assistants encountered whilst providing continence care. Grounded theory methodology was used for in-depth interviews with 18 nurses and personal care assistants who had experience of providing, supervising or assessing continence care in any Australian residential aged care facility, and to analyse 88 hours of field observations in two facilities. Data generation and analysis occurred simultaneously using open coding, theoretical coding, and selective coding, until data were saturated. While addressing the day-to-day needs of residents who needed help to maintain continence and/or manage incontinence, nurses and personal care assistants struggled to enable residents to exercise choice and autonomy. The main factor that contributed to this problem was that the fact that nurses and personal care assistants had to respond to multiple, competing, and conflicting expectations about residents’ care needs. This situation was compounded by workforce constraints, inadequate information about residents’ care needs, and an unpredictable work environment. Providing continence care accentuated the ethical tensions associated with caregiving. Nurses’ and personal care assistants’ responses were mainly characterised by highly protective behaviours towards residents. Underlying structural factors that hinder high quality continence care to residents of aged care facilities should be urgently addressed.

A perspective on supporting STEM academics with blended learning at an Australian university

Design-based educational research can aid in providing a lens into understanding the complexities around imaginative methods, while also creating an avenue to share personal insights to support the solving of teaching and learning problems to direct future efforts. In this study, the ‘I’ narrative was extensively utilised in the form of an autoethnography perspective. This was achieved by incorporating three self-report methods within a design experiment, in order to explore the messiness associated with showcasing the creation and modification of a faculty-wide blended learning framework for STEM teachers. Data generation procedures from three sources provided the evidential basis for investigating this process: (1) self-reflection, (2) key literature findings, and (3) critical discussions from a community of inquiry. The findings identified three particular features of the process of change that were challenging, for which STEM academics required support: educators’ professional context; finding models to support change in practice; and identifying the change agent. The paper argues for the program of a personal and complex methodology to inform practice, providing insights into the change process, because process is just as important as product.

Towards extended machine translation model for next generation world wide web

In this paper, we proposed a Data Translation model which potentially is a major promising web service of the next generation world wide web. This technique is somehow analogy to the technique of traditional machine translation but it is far beyond what we understand about machine translation in the past and nowadays in terms of the scope and the contents. To illustrate the new concept of web services based data translation, a multilingual machine translation electronic dictionary system and its web services based model including generic services, multilingual translation services are presented. This proposed data translation model aims at achieving better web services in easiness, convenience, efficiency, and higher accuracy, scalability, self-learning, self-adapting.

Performance analysis of algorithms for frequent pattern generation

Data mining refers to extracting or "mining" knowledge from large amounts of data. It is also called a method of "knowledge presentation" where visualization and knowledge representation techniques are used to present the mined knowledge to the user. Efficient algorithms to mine frequent patterns are crucial to many tasks in data mining. Since the Apriori algorithm was proposed in 1994, there have been several methods proposed to improve its performance. However, most still adopt its candidate set generation-and-test approach. In addition, many methods do not generate all frequent patterns, making them inadequate to derive association rules. The Pattern Decomposition (PD) algorithm that can significantly reduce the size of the dataset on each pass makes it more efficient to mine all frequent patterns in a large dataset. This algorithm avoids the costly process of candidate set generation and saves a large amount of counting time to evaluate support with reduced datasets. In this paper, some existing frequent pattern generation algorithms are explored and their comparisons are discussed. The results show that the PD algorithm outperforms an improved version of Apriori named Direct Count of candidates & Prune transactions (DCP) by one order of magnitude and is faster than an improved FP-tree named as Predictive Item Pruning (PIP). Further, PD is also more scalable than both DCP and PIP.

Generating best evidence from qualitative research: the role of data analysis

Objective: To outline the importance of the clarity of data analysis in the doing and reporting of interview-based qualitative research.

Approach: We explore the clear links between data analysis and evidence. We argue that transparency in the data analysis process is integral to determining the evidence that is generated. Data analysis must occur concurrently with data collection and comprises an ongoing process of 'testing the fit' between the data collected and analysis. We discuss four steps in the process of thematic data analysis: immersion, coding, categorising and generation of themes.

Conclusion: Rigorous and systematic analysis of qualitative data is integral to the production of high-quality research. Studies that give an explicit account of the data analysis process provide insights into how conclusions are reached while studies that explain themes anchored to data and theory produce the strongest evidence.

OWDEAH: Online Web Data Extraction based on Access History

Web data extraction systems are the kernel of information mediators between users and heterogeneous Web data resources. How to extract structured data from semi-structured documents has been a problem of active research. Supervised and unsupervised methods have been devised to learn extraction rules from training sets. However, trying to prepare training sets (especially to annotate them for supervised methods), is very time-consuming. We propose a framework for Web data extraction, which logged usersrsquo access history and exploit them to assist automatic training set generation. We cluster accessed Web documents according to their structural details; define criteria to measure the importance of sub-structures; and then generate extraction rules. We also propose a method to adjust the rules according to historical data. Our experiments confirm the viability of our proposal.

Retinal sensitivity loss in third-generation n-3 PUFA-deficient rats

A previous study conducted in guinea pigs suggested that ingestion of diets high in EPA and DHA may result in suboptimal retinal function. The aim of the present study was to evaluate retinal function in pigmented (Long-Evans) rats, raised to a third generation on diets that were either deficient in n-3 PUFA or adequate (with the addition of DHA). Electroretinographic assessment employed full-field white flash stimulation. Photoreceptor responses were evaluated in terms of peak amplitudes and implicit times (a-wave, b-wave), intensity-response functions (Naka-Rushton), and the parameters of a model of transduction (P3). Retinal phospholipid FA composition was measured by capillary GLC. DHA levels were reduced by 55% in n-3-deficient animals compared with the n-3-adequate group, whereas the levels of docosapentaenoic acid n-6 were 44 times higher in n-3-deficient animals. The level of arachidonic acid was marginally higher (12.8%) in n-6-adequate animals. The n-3-deficient animals exhibited significantly reduced retinal sensitivity (σ and S values were both affected by 0.29 log units) and increased b-wave implicit times compared with those fed the n-3-adequate diet. These data suggest that n-3 PUFA are required for development of retinal sensitivity, more so than other indices of retinal function assessed by current methods, such as maximal response amplitude. However, the benefit for retinal function of adding preformed DHA to diets already replete in n-3 PUFA remains unclear.

A scheme for content based retrieval of music data in MIDI format

With phenomenal increases in the generation and storage of digital audio data in several applications, there is growing need for organizing audio data in databases and providing users with fast access to desired data. This paper presents a scheme for the content-based query and retrieval of audio data stored in MIDI format. This is based on extraction of melody from the MIDI files and suitably comparing with the melody of the query. The results of retrieval using the proposed algorithm are presented.

Generation of statements for the development of clinical indicators for mental heath nursing in New Zealand : achieving a bicultural focus

Aim : In this paper, the first of 4 stages of a large study aiming to develop culturally and clinically valid clinical indicators to flag the achievement of mental health nursing standards of practice in New Zealand are described.

Methods : A bicultural design was employed throughout the research project to ensure that nurses' views of practice and the cultural differences between New Zealand's indigenous Maori and non-Maori peoples could be identified. Accordingly, separate focus groups of Maori- and non-Maori-experienced mental health nurses were asked to develop lists of statementd reflective of the Australian and New Zealand College of Mental Health Nurses' Standards of Practice in New Zealand.

Results : The focus group participants produces 473 statements, which were synthesized into 190 clinical indicator statements. In keeping with the bicultural research design, Maori and non-Maori data were analysed separately until the data were merged to provide a single set of indicator statements. Although both Maori and non-Maori groups wrote statements relevant to clinical practice, there was a difference in the way the 2 groups addressed cultural issues. The Maori focus group wrote statements about cultural issues for 4 of the 6 Standards of Practice, whereas the non-Maori focus group participants wrote statements about cultural issues for only the Standard focusing on cultural safety.

Conclusion : The research design of this project in mental health nursing was unique in that it sought the perspectives of both indigenous and non-indigenous nurses about quality mental health nursing practice related to the professional standards of practice. The involvement of Maori and non-Maori mental health nurses enhanced the cultural and clinical validity of the study and the obtained from it. The bicultural approach adopted for the study highlights the need for more mental health nursing research involving indigenous partners.