First-priority relation graph-based malicious users detection in mobile social networks

Mobile social networks (MSNs) consist of many mobile users (individuals) with social characteristics, that provide a variety of data delivery services involving the social relationship among mobile individuals. Because mobile users move around based on their common interests and contact with each other more frequently if they have more social features in common in MSNs. In this paper, we first propose the first-priority relation graph, say FPRG, of MSNs. However, some users in MSNs may be malicious. Malicious users can break the data delivery through terminating the data delivery or tampering with the data. Therefore, malicious users will be detected in the process of looking for the data delivery routing to obtain efficient and reliable data delivery routing along the first-priority relation graph. Secondly, we propose one hamiltonian cycle decomposition of FPRG-based adaptive detection algorithm based on in MSNs under the PMC detection model (the system-level detection model).

Trustworthiness-hypercube-based reliable communication in mobile social networks

In mobile social networks (MSNs), the routing packet is forwarded from any user of in a group to any user of the other group until it reaches the destination group - the group where the destination is located. However, it is inevitable that malicious groups could compromise the quality and reliability of data. To alleviate such effect, analyzing the trustworthiness of a group has a positive influence on the confidence with which a group conducts transactions with that group. In our previous work, the feature-based first-priority relation graph (FPRG) of MSNs is proposed, in which two vertices (groups) are connected iff they have a first-priority relationship. In this paper, the trustworthiness computation of a group is firstly presented in the algorithm TC (Trustworthiness Computing) based on the FPRG. The trustworthiness of a group is evaluated based on the trustworthiness of neighbors and the number of malicious users in the group. We then establish the Trustworthiness-Hypercube-based Reliable Communication (THRC) algorithm in MSNs. The algorithm THRC can provide an effective and reliable data delivery routing. Finally, we also give two scenario simulations to elaborate the processes of the trustworthiness computation and reliable communication.

Primary and secondary mathematics practice: how different is it?

This paper describes the practices of ninety-nine teachers at the beginning of their involvement in a large-scale project investigating the influence of subject cultures on school and teacher change. Data collected from these teachers, using the IMYMS. Components of effective teaching and Learning mapping procedure, were analysed to investigate similarities and differences in primary and secondary teachers’ perceptions of their practice in mathematics. Results of the analysis show different patterns across a range of components of effective teaching and learning.

A first priority when working with teachers is to help them become aware of and make problematic aspects of their current practice …. Only then would they have reason to attempt to reform their instructional practices when working with us. (Yackel, 1994, p. 386)

Effective mathematics learning environments : primary teachers' beliefs and practices

A first priority for changing teaching practice is to make problematic for teachers aspects of their current practice. As part of a project on improving mathematics and science teaching in the middle years of schooling, teachers were asked to rate their practice against components of effective teaching and learning and to rate each of these according to their perceived importance. Findings suggest that primary teachers endorsed the components as representing effective practice, scoring most components higher than their actual practice. Gaps were particularly evident for items relating to challenging students conceptually and higher-order thinking, with these becoming the basis for some of the action planning for change.

Metaphysics of love as moral responsibility in nursing and midwifery

This study used a qualitative research design incorporating principles of social constructionism, hermeneutic dialectic method, Neo-Socratic dialogue and philosophy for reporting the tacit and social knowledge constructions underlying particular ways of knowing that inform the experiential reality of love in the practice of nursing and midwifery. The philosophy of Emmanuel Levinas, that culminated in his magnum opus of the ‘metaphysics of otherness’, provided the theoretical underpinning for the interpretation of the experiences nurses and midwives believed were examples of love in their clinical practice in Australia, Singapore and Bhutan. What is love in nursing and midwifery? The answer is moral responsibility. The relational context has a nurse and midwife constantly exposed to patient situations that give rise to expressions of love as moral responsibility. It is a form of love that centres on the ability of our being, or at least the possibility of our being, to transcend its everyday form to a metaphysical state of being moral. It enables a nurse and midwife to transcend the isolation associated with their personal being as a self-project, to be ‘for’ the patient as a first priority. But while the ‘Goodness’ of the ‘Good’ assigns the nurse and midwife responsible and is expressed to their personal being in the form of the ‘urge to do’, ‘what to do’ in caring for the patient is a matter of living out the command to be responsible and will be different for each nurse and midwife. However, no matter the outcome, love as moral responsibility will always leave a nurse and midwife feeling there is still more to be done in being responsible.

Renal artery stenosis and hypertension : whom and how to screen and treat

Renovascular disease is an underlying cause in a significant proportion of patients who have refractory hypertension. Aggressive medical therapy to lower cardiovascular risk is the first priority in these patients. Endovascular treatment is required in only a few carefully selected cases

Mining mechanism of top-k influential nodes based on voting algorithm in mobile social networks

In recent years, evaluating the influence of nodes and finding top-k influential nodes in social networks, has drawn a wide attention and has become a hot-pot research issue. Considering the characteristics of social networks, we present a novel mechanism to mine the top-k influential nodes in mobile social networks. The proposed mechanism is based on the behaviors analysis of SMS/MMS (simple messaging service / multimedia messaging service) communication between mobile users. We introduce the complex network theory to build a social relation graph, which is used to reveal the relationship among people's social contacts and messages sending. Moreover, intimacy degree is also introduced to characterize social frequency among nodes. Election mechanism is hired to find the most influential node, and then a heap sorting algorithm is used to sort the voting results to find the k most influential nodes. The experimental results show that the mechanism can finds out the most influential top-k nodes efficiently and effectively. © 2013 IEEE.

Containing smartphone worm propagation with an influence maximization algorithm

In recent years, wide attention has been drawn to the problem of containing worm propagation in smartphones. Unlike existing containment models for worm propagation, we study how to prevent worm propagation through the immunization of key nodes (e.g.; the top k influential nodes). Thus, we propose a novel containment model based on an influence maximization algorithm. In this model, we introduce a social relation graph to evaluate the influence of nodes and an election mechanism to find the most influential nodes. Finally, this model provides a targeted immunization strategy to disable worm propagation by immunizing the top k influential nodes. The experimental results show that the model not only finds the most influential top k nodes quickly, but also effectively restrains and controls worm propagation.

First report on National Health Priority Areas 1996

Focuses on the health of Australians by documenting progress towards goals and targets for the five priority areas of cardiovascular health, cancer control, injury prevention and control, mental health, and diabetes mellitus.

Motor-unit coherence and its relation with synchrony are influenced by training

The purpose of the study was to quantify the strength of motor-unit coherence from the left and right first dorsal interosseous muscles in untrained, skill-trained (musicians), and strength-trained (weightlifters) individuals who had long-term specialized use of their hand muscles. The strength of motor-unit coherence was quantified from a total of 394 motor-unit pairs in 13 subjects using data from a previous study in which differences were found in the strength of motor-unit synchronization depending on training status. In the present study, we found that the strength of motor-unit coherence was significantly greater in the left compared with the right hand of untrained right-handed subjects with the largest differences observed between 21 and 24 Hz. The strength of motor-unit coherence was lower in both hands of skill-trained subjects (21–27 Hz) and the right (skilled) hand of untrained subjects (21–24 Hz), whereas the largest motor-unit coherence was observed in both hands of strength-trained subjects (3–9 and 21–27 Hz). A strong curvilinear association was observed between motor-unit synchronization and the integral of coherence at 10–30 Hz in all motor-unit pairs (r² = 0.77), and was most pronounced in strength-trained subjects (r² = 0.90). Furthermore, this association was accentuated when using synchronization data with broad peaks (>11 ms), suggesting that the 10- to 30-Hz coherence is due to oscillatory activity in indirect branched common inputs. The altered coherence with training may be due to an interaction between cortical inhibition and the number of direct common inputs to motor neurons in skill- or strength-trained hands.

Nurses' perceived training needs in child protection issues

Purpose – The purpose of this research is to explore nurses' perceptions of their current skills and knowledge and training needs to identify cases of child abuse and their understanding of their roles and responsibilities in relation to child abuse. Nurses, including health visitors and midwives, have been recognised as having a key role in the protection and care of children, especially in identifying and referring possible cases of child abuse and neglect.

Design/methodology/approach – A structured questionnaire concerning knowledge and training needs in child protection was sent to all nurses employed in a Scottish NHS Primary Care Trust (approximately 1,900), of whom one-third (667) responded. These survey results were complemented by semi-structured interviews with 99 members of the nursing workforce.

Findings – Almost all training in child protection had been confined to health visitors, resulting in the Trust giving an implicit message that child protection is not a role in which other nurses need have any involvement. In general, those nurses who both worked with children and had involvement in child protection issues, considered themselves to be most in need of knowledge around child protection work, to have the greatest level of knowledge and to consider further training a priority.

Research limitations/implications – Nurses who had an interest or involvement in child protection work were more likely to participate in the research, which may have biased the results.

Practical implications – Training strategies need to address the diversity of nurses' involvements in child protection work through the development of training programmes which are appropriate for different workplaces and different occupational groupings. Nurses in some settings will need to be first convinced they have the potential to play an important role in protecting children from abuse and neglect.

Originality/value – Many NHS Trusts have in recent years introduced mandatory training in child protection for all staff in contact with children. However, previously published studies have considered training issues only in respect of nurses identified as working directly with children, whereas this study explores child protection issues for all nurses employed in a primary care NHS Trust.

Gatekeeping or redressing social exclusion : expectations on social work educators in relation to incarcerated students

Until recently, the author was in Scotland, where professional registration in social work extends to students and involves criminal record checks prior to acceptance into a course of study. She is now teaching at Deakin University in Australia, which places a high priority on making higher education available to persons and groups who have traditionally been excluded, both through the provision of courses through off campus (distance education) study mode and an innovative and culturally sensitive mode of provision for indigenous Australians. One result of our attempts to redress social exclusion is that, on occasion, we discover that some of our students are incarcerated. There are important logistical issues which may emerge as a consequence of accepting prisoners into a program of social work education. However, it would seem that the inclusion of prisoners is symbolic of a fundamental difference in philosophy with programmes of social work education in countries where there is a strong expectation that social work educators act as gatekeepers to the profession, especially in respect of students with criminal convictions. This in tum reflects an expectation among social work educators in Australia that it may be more appropriate for professional associations or registration bodies to determine whether or not a graduate with a criminal record is suitable for employment as a professional social worker. In some settings, a prior criminal record is not a barrier to being an effective service provider, as well as international differences in understandings of the social work role and employment
destinations of social work graduates.

Trial application of a model of resource utiliztion, costs, and outcomes for stroke (MORUCOS) to assist priority setting in stroke.

Background and Purpose— Cost-effectiveness data for stroke interventions are limited, and comparisons between studies are confounded by methodological inconsistencies. The aim of this study was to trial the use of the intervention module of the economic model, a Model of Resource Utilization, Costs, and Outcomes for Stroke (MORUCOS) to facilitate evaluation and ranking of the options.

Methods— The approach involves using an economic model together with added secondary considerations. A consistent approach was taken using standard economic evaluation methods. Data from the North East Melbourne Stroke Incidence Study (NEMESIS) were used to model "current practice" (base case), against which 2 interventions were compared. A 2-stage process was used to measure benefit: health gains (expressed in disability-adjusted life years [DALYs]) and filter analysis. Incremental cost-effectiveness ratios (ICERs) were calculated, and probabilistic uncertainty analysis was undertaken.

Results— Aspirin, a low-cost intervention applicable to a large number of stroke patients (9153 first-ever cases), resulted in modest health benefits (946 DALYs saved) and a mean ICER (based on incidence costs) of US $1421 per DALY saved. Although the health gains from recombinant tissue-type plasminogen activator (rtPA) were less (155 DALYs saved), these results were impressive given the small number of persons (256) eligible for treatment. rtPA dominates current practice because it is more effective and cost-saving.

Conclusions— If used to assess interventions across the stroke care continuum, MORUCOS offers enormous capacity to support decision-making in the prioritising of stroke services.

Polyhedral studies for minimum-span graph labelling with integer distance constraints

This paper studies the polytope of the minimum-span graph labelling problems with integer distance constraints (DC-MSGL). We first introduce a few classes of new valid inequalities for the DC-MSGL defined on general graphs and briefly discuss the separation problems of some of these inequalities. These are the initial steps of a branch-and-cut algorithm for solving the DC-MSGL. Following that, we present our polyhedral results on the dimension of the DC-MSGL polytope, and that some of the inequalities are facet defining, under reasonable conditions, for the polytope of the DC-MSGL on triangular graphs.

Priority setting in health: origins, description and application of the Australian Assessing Cost-Effectiveness initiative

This article reports on the ‘Assessing Cost–Effectiveness’ (ACE) initiative in priority setting from Australia. It commences with why priority setting is topical and notes that a wide variety of approaches are available. In assessing these various approaches, it is argued that a useful first step is to consider what constitutes an ‘ideal’ approach to priority setting. A checklist to guide priority setting is presented based on guidance from economic theory, ethics and social justice, lessons from empirical experience and the needs of decision-makers. The checklist is seen as an important contribution because it is the first time that criteria from such a broad range of considerations have been brought together to develop a framework for priority setting that endeavors to be both realistic and theoretically sound. The checklist will then be applied to a selection of existing approaches in order to illustrate their deficiencies and to provide the platform for explaining the unique features of the ACE approach. A case study (ACE-Cancer) will then be presented and assessed against the checklist, including reaction from stakeholders in the cancer field. The article concludes with an overview of the full body of ACE research completed to date, together with some reflections on the ACE experience.