Text mining in negative relevance feedback

It is a big challenge to clearly identify the boundary between positive and negative streams. Several attempts have used negative feedback to solve this challenge; however, there are two issues for using negative relevance feedback to improve the effectiveness of information filtering. The first one is how to select constructive negative samples in order to reduce the space of negative documents. The second issue is how to decide noisy extracted features that should be updated based on the selected negative samples. This paper proposes a pattern mining based approach to select some offenders from the negative documents, where an offender can be used to reduce the side effects of noisy features. It also classifies extracted features (i.e., terms) into three categories: positive specific terms, general terms, and negative specific terms. In this way, multiple revising strategies can be used to update extracted features. An iterative learning algorithm is also proposed to implement this approach on RCV1, and substantial experiments show that the proposed approach achieves encouraging performance.

Development of a data mining-based analysis framework for multi-attribute construction project information

Data mining techniques extract repeated and useful patterns from a large data set that in turn are utilized to predict the outcome of future events. The main purpose of the research presented in this paper is to investigate data mining strategies and develop an efficient framework for multi-attribute project information analysis to predict the performance of construction projects. The research team first reviewed existing data mining algorithms, applied them to systematically analyze a large project data set collected by the survey, and finally proposed a data-mining-based decision support framework for project performance prediction. To evaluate the potential of the framework, a case study was conducted using data collected from 139 capital projects and analyzed the relationship between use of information technology and project cost performance. The study results showed that the proposed framework has potential to promote fast, easy to use, interpretable, and accurate project data analysis.

A case study examination of the influence of cultural diversity in the multicultural nursing workforce on the quality of care and patient safety in a Saudi Arabian hospital

The purpose of the study: The purpose of this study is to investigate the influence of cultural diversity, in a multicultural nursing workforce, on the quality and safety of patient care and the work environment at King Abdul-Aziz Medical City, Riyadh region. Study background: Due to global migration and workforce mobility, to varying degrees, cultural diversity exists in most health services around the world, particularly occurring where the health care workforce is multicultural or where the domestic population comprises minority groups from different cultures speaking different languages. Further complexities occur when countries have a multicultural workforce which is different from the population for whom they care, in addition to the workers being from culturally diverse countries and with different languages. In Saudi Arabia the health system is mainly staffed by expatriate nurses who comprise 67.7% of the total number of nurses. Study design: This research utilised a case study design which incorporated multiple methods including survey, qualitative interviews and document review. Methods: The participant nurses were selected for the survey via a population sampling strategy; 319 nurses returned their completed Safety Climate Survey questionnaires. Descriptive and inferential statistics (Kruskal–Wallis test) were used to analyse survey data. For the qualitative component of the study, a purposive sampling strategy was used; 24 nurses were interviewed using a semi-structured interview technique. The documentary review included KAMC-R policy documents that met the inclusion criteria using a predetermined data abstraction instrument. Content analysis was used to analyse the policy documents data. Results: The data revealed the nurses‘ perceptions of the clinical climate in this multicultural environment is that it was unsafe, with a mean score of 3.9 out of 5. No significant difference was detected between the age groups or years of experience of the nurses and the perception of safety climate in this context; the study did reveal a statistically significant difference between the cultural background categories and the perception of safety climate. The qualitative phase indicated that the nurses within this environment were struggling to achieve cultural competence; consequently, they were having difficulties in meeting the patients‘ cultural and spiritual needs as well as maintaining a high standard of care. The results also indicated that nurses were disempowered in this context. Importantly, there was inadequate support by the organisation to manage the cultural diversity issue and to protect patients from any associated risks, as demonstrated by the policy documents and supported by the nurses‘ experiences. The study also illustrated the limitations of the conceptual framework of cultural competence when tested in this multicultural workforce context. Therefore, this study generated amendments to the model that is suitable to be used in the context of a multicultural nursing workforce. Conclusion: The multicultural nature of this nursing work environment is inherently risky due to the conflicts that arise from the different cultural norms, beliefs, behaviours and languages. Further, there was uncertainty within the multicultural nursing workforce about the clinical and cultural safety of the patient care environment and about the cultural safety of the nursing workforce. The findings of the study contribute important new knowledge to the area of patient and nurse safety in a multicultural environment and contribute theoretical development to the field of cultural competence. Specifically, the findings will inform policy and practice related to patient care in the context of cultural diversity.

Granule mining and its application for network traffic characterization

Decision table and decision rules play an important role in rough set based data analysis, which compress databases into granules and describe the associations between granules. Granule mining was also proposed to interpret decision rules in terms of association rules and multi-tier structure. In this paper, we further extend granule mining to describe the relationships between granules not only by traditional support and confidence, but by diversity and condition diversity as well. Diversity measures how diverse of a granule associated with the other ganules, it provides a kind of novel knowledge in databases. Some experiments are conducted to test the proposed new concepts for describing the characteristics of a real network traffic data collection. The results show that the proposed concepts are promising.

Sustainable Road Management in Texas : network-level flexible pavement structural condition analysis using data mining techniques

The research team recognized the value of network-level Falling Weight Deflectometer (FWD) testing to evaluate the structural condition trends of flexible pavements. However, practical limitations due to the cost of testing, traffic control and safety concerns and the ability to test a large network may discourage some agencies from conducting the network-level FWD testing. For this reason, the surrogate measure of the Structural Condition Index (SCI) is suggested for use. The main purpose of the research presented in this paper is to investigate data mining strategies and to develop a prediction method of the structural condition trends for network-level applications which does not require FWD testing. The research team first evaluated the existing and historical pavement condition, distress, ride, traffic and other data attributes in the Texas Department of Transportation (TxDOT) Pavement Maintenance Information System (PMIS), applied data mining strategies to the data, discovered useful patterns and knowledge for SCI value prediction, and finally provided a reasonable measure of pavement structural condition which is correlated to the SCI. To evaluate the performance of the developed prediction approach, a case study was conducted using the SCI data calculated from the FWD data collected on flexible pavements over a 5-year period (2005 – 09) from 354 PMIS sections representing 37 pavement sections on the Texas highway system. The preliminary study results showed that the proposed approach can be used as a supportive pavement structural index in the event when FWD deflection data is not available and help pavement managers identify the timing and appropriate treatment level of preventive maintenance activities.

Pathways for developing a 'smart' workforce : does the achievement of formal workplace qualifications encourage participation in higher education?

The purpose of this paper is to investigate a public workforce education initiative in the context of State and agency policies designed to enhance employee capabilities to adapt to a volatile and changing environment. In particular, we are concerned with public employees’ experience of a higher educational pathway that resulted in their obtaining a Diploma level qualification. In addition to understanding the employees’ experience of this pathway we were interested in whether the experience contributed to their openness to the prospect of university level education. We conducted telephone interviews with a sample of participants from the program. Employees reported very positive experience of the program; in particular employees reported enhanced efficacy beliefs, a strong sense of achievement, and a feeling of recognition. This experience is explained by four main factors; (1) a program design that was well aligned with the employees learning needs, (2) strong support by organisational staff who delivered and assessed participants on capability criteria, (3) strong management support for employees’ participation, (4) an academic ceremony that provided participants with public recognition of their achievement by valued others. Participants’ motivation to participate was primarily intrinsic rather than extrinsic. Participants in the study reported that their experience in this educational pathway gave them the confidence to consider the possibility of university level education. The paper also discusses the practitioner-academic collaboration that led to the development of this paper.

Perceptions of clinical safety climate of the multicultural nursing workforce in Saudi Arabia : a cross-sectional survey

Purpose The purpose of this study is to explore the safety climate perceptions of the multicultural nursing workforce, and to investigate the influence of diversity of the multicultural nursing workforce on clinical safety in a large tertiary hospital in Saudi Arabia. Background Working in a multicultural environment is challenging. Each culture has its own unique characteristics and dimensions that shape the language, lifestyle, beliefs, values, customs, traditions, and patterns of behaviour, which expatriate nurses must come to terms with. However, cultural diversity in the health care environment can potentially affect the quality of care and patient safety. Method A mixed-method case study (survey, interview and document analysis) was employed. A primary study phase entailed the administration of the Safety Climate Survey (SCS). A population sampling strategy was used and 319 nurses participated, yielding a 76.8% response rate. Descriptive and inferential statistics (Kruskal–Wallis test) were used to analyse survey data. Results The data revealed the nurses’ perceptions of the clinical safety climate in this multicultural environment was unsafe, with a mean score of 3.9 out of 5. No significant difference was found between the age groups, years of nursing experience and their perceptions of the safety climate in this context. A significant difference was observed between the national background categories of nurses and perceptions of safety climate. Conclusion Cultural diversity within the nursing workforce could have a significant influence on perceptions of clinical safety. These findings have the potential to inform policy and practice related to cultural diversity in Saudi Arabia.

Evolving directions in health promotion workforce development

PROJECT CONTEXT: Leaders in the fields of public health and health promotion increasingly advocate a socio-ecological approach to meet contemporary and emerging population health challenges. It is essential that health promotion workforce development initiatives mirror the evolving direction of the field to facilitate translation of theory into practice. To date, there has been limited effort to map the socio-ecological approach into tertiary education curricula. PROJECT DESCRIPTION: This project was undertaken as part of the development process for an undergraduate health promotion degree in Queensland, Australia. A review of the health promotion workforce development literature was undertaken. Group processes, key informant interviews and a Delphi technique were used to engage health promotion academics and practitioners, including an International Health Promotion Expert Advisory Panel, and an Industry Advisory Group in defining the components of the program. FINDINGS: The consultative processes facilitated the development of an undergraduate health promotion degree program underpinned by the socio-ecological approach with strong emphases upon the processes or 'how you do it' of health promotion together with evidence-based decision making and practice. CONCLUSIONS: As the basis and practice of health promotion progresses toward a socio-ecological approach, workforce training needs to keep pace with these developments to ensure an appropriately skilled health promotion workforce to meet emerging population health challenges. The reported project and the degree program that has been developed is an example of one step towards achieving this important and necessary shift in health promotion workforce development in Australia.

The current workforce status of prehospital care in China

Abstract The Chinese Emergency Medicine System is primarily composed of three sectors; prehospital care, emergency department in a city hospital, and intensive care unit ward. While all sectors are integral to the system, the prehospital care system is less developed than the others. There are many possible contributors to the under-development of the prehospital care system, however, workforce issues may play a significant role. Firstly, there is no officially recognised paramedic profession in China. The staff members working in the prehospital care system are medical doctors, registered nurses, patient-carriers, and drivers. Secondly, these doctors and nurses are either over-qualified or under-qualified for practicing in the prehospital care system. Lastly, Chinese health professionals have taken actions to improve the current workforce status with initiatives such as short-term training workshops for doctors and nurses, implementation of a trial unit in a university, and development of a Major Degree of Emergency Medicine in a medical university. All of these actions are important steps toward improving the current workforce status in the prehospital care system. However, a long term workforce development plan is still essential for the Chinese system, and implementation of a professional paramedic education system in a medical university/college in China, may provide the solution. Keywords: China; emergency medicine system; health services; prehospital care system; workforce; service delivery

Data mining traditional Chinese medicine (TCM) lessons learnt from mining in law and allopathic medicine

Key decisions at the collection, pre-processing, transformation, mining and interpretation phase of any knowledge discovery from database (KDD) process depend heavily on assumptions and theorectical perspectives relating to the type of task to be performed and characteristics of data sourced. In this article, we compare and contrast theoretical perspectives and assumptions taken in data mining exercises in the legal domain with those adopted in data mining in TCM and allopathic medicine. The juxtaposition results in insights for the application of KDD for Traditional Chinese Medicine.

Acquisition modelling for heavy engineering assets in mining industry

Each year, organizations in Australian mining industry (asset intensive industry) spend substantial amount of capital (A$86 billion in 2009-10) (Statistics, 2011) in acquiring engineering assets. Engineering assets are put to use in operations to generate value. Different functions (departments) of an organization have different expectations and requirements from each of the engineering asset e.g. return on investment, reliability, efficiency, maintainability, low cost of running the asset, low or nil environmental impact and easy of disposal, potential salvage value etc. Assets are acquired from suppliers or built by service providers and or internally. The process of acquiring assets is supported by procurement function. One of the most costly mistakes that organizations can make is acquiring the inappropriate or non-conforming assets that do not fit the purpose. The root cause of acquiring non confirming assets belongs to incorrect acquisition decision and the process of making decisions. It is very important that an asset acquisition decision is based on inputs and multi-criteria of each function within the organization which has direct or indirect impact on the acquisition, utilization, maintenance and disposal of the asset. Literature review shows that currently there is no comprehensive process framework and tool available to evaluate the inclusiveness and breadth of asset acquisition decisions that are taken in the Mining Organizations. This thesis discusses various such criteria and inputs that need to be considered and evaluated from various functions within the organization while making the asset acquisition decision. Criteria from functions such as finance, production, maintenance, logistics, procurement, asset management, environment health and safety, material management, training and development etc. need to be considered to make an effective and coherent asset acquisition decision. The thesis also discusses a tool that is developed to be used in the multi-criteria and cross functional acquisition decision making. The development of multi-criteria and cross functional inputs based decision framework and tool which utilizes that framework to formulate cross functional and integrated asset acquisition decisions are the contribution of this research.

Using staffing ratios for workforce planning : evidence on nine allied health professions - a narrative review

Background: Modern healthcare managers are faced with pressure to deliver effective, efficient services within the context of fixed budget constraints. This requires decisions regarding the skill mix of the workforce particularly when staffing new services. One measure used to identify numbers and mix of staff in healthcare settings is workforce ratio. The aim of this study was to identify workforce ratios in nine allied health professions and to identify whether these measures are useful for planning allied health workforce requirements. Method: A systematic literature search using relevant MeSH headings of business, medical and allied health databases and relevant grey literature for the period 2000-2008 was undertaken. Results: Twelve articles were identified which described the use of workforce ratios in allied health services. Only one of these was a staffing ratio linked to clinical outcomes. The most comprehensive measures were identified in rehabilitation medicine. Conclusions: The evidence for use of staffing ratios for allied health practitioners is scarce and lags behind the fields of nursing and medicine.

Fast and robust stereo matching algorithms for mining automation

The mining environment, being complex, irregular, and time-varying, presents a challenging prospect for stereo vision. For this application, speed, reliability, and the ability to produce a dense depth map are of foremost importance. This paper evaluates a number of matching techniques for possible use in a stereo vision sensor for mining automation applications. Area-based techniques have been investigated because they have the potential to yield dense maps, are amenable to fast hardware implementation, and are suited to textured scenes. In addition, two nonparametric transforms, namely, rank and census, have been investigated. Matching algorithms using these transforms were found to have a number of clear advantages, including reliability in the presence of radiometric distortion, low computational complexity, and amenability to hardware implementation.