Mining characteristic relations bind to RNA secondary structures

The identification of RNA secondary structures has been among the most exciting recent developments in biology and medical science. It has been recognized that there is an abundance of functional structures with frameshifting, regulation of translation, and splicing functions. However, the inherent signal for secondary structures is weak and generally not straightforward due to complex interleaving substrings. This makes it difficult to explore their potential functions from various structure data. Our approach, based on a collection of predicted RNA secondary structures, allows us to efficiently capture interesting characteristic relations in RNA and bring out the top-ranked rules for specified association groups. Our results not only point to a number of interesting associations and include a brief biological interpretation to them. It assists biologists in sorting out the most significant characteristic structure patterns and predicting structurefunction relationships in RNA.

A visual mining system for theme development evolution analysis of scientific literature

Theme development evolution analysis of literature is a significant tool to help the scientific scholars find and study the frontier problems more efficiently. This paper designs and develops a visual mining system for theme development evolution analysis to deal with the large number of literature information. The analysis of related themes based on sub-themes, together with the dynamic threshold strategy are adopted for improving the accuracy of system. Experiments results prove that correlations of themes obtained from the system are accurate and achieve better practical effect in comparison with that of our early work.

Study on student score based on data mining

Education is a complex systematic engineering, which is the guarantee of training high-quality talent, helping society make full use of educational outcomes and promote the healthy development of education. In the education, the students' score is a very important quantitative evaluation indicator, which can objectively reflect the effects of educational system and is an important basis to make lots of scientific decisions. This paper uses clustering algorithm and decision tree to comprehensively analyze the students' score, and obtains useful results. It can be observed that the results are valuable for the teaching and management.

A psychological contract perspective to the link between non-profit organizations' management practices and volunteer sustainability

This study applies the concept of the psychological contract to the relationship between management practices and volunteers. Formalization of the voluntary sector is impacting on volunteers’ experiences and may breach the psychological contract from the volunteers’ perspective. This mixed method study interviewed 67 volunteers and volunteer coordinators/administrators, and collected mail survey information from 152 volunteer organizations. The transactional management practices of keeping formal records and not paying volunteers out of pocket expenses are negatively associated with volunteer recruitment and retention. Alternatively, publicly recognizing volunteers through a volunteer newsletter supports volunteers’ relational expectations and is positively linked to adequate volunteer numbers. Our findings have important implications for the human resource development practices of non-profit organizations in dealing with their volunteers: they suggest that the relational expectations of volunteers are an important aspect of the psychological contract, which could be used by organizations as a framework for developing management practices that fit the volunteer ethos of trust and networks.

The psychological contract in apprenticeships and traineeships : differing perceptions

As with any contract of employment, the mutual expectations of the employer and the apprentice/trainee are very important. Apprenticeships and traineeships have greater expectations than other employment contracts of employment because of the training component of the contract. This paper reports on some of the findings of a major NCVER-funded national project examining mutual expectations in apprenticeships and traineeships through the concept of the psychological contract. The paper focuses on the differences between employers and apprentices/trainees, in the expectations each party has of the other and in the extent to which the expectations are perceived to have been met.

Prediction of wool knitwear pilling propensity using data mining techniques

This thesis examined the application of data mining techniques to the issue of predicting pilling propensity of wool knitwear. Using real industrial data, a pilling propensity prediction tool with embedded trained support vector machines is developed to provide high accuracy prediction to wool knitwear even before the yarn is spun!

The importance of the psychological contract for effective learning in apprenticeships

This paper looks at apprenticeship learning and training from a new standpoint – the psychological contract. The notion of the psychological contract is commonly used in the human resource management field to understand the nature of employment relationships. It has not previously been applied to apprenticeships in any systematic manner. This paper reports on a research project that applied a preexisting instrument to apprentices and employers and also included qualitative case studies in nine companies.

Data mining techniques for the assessment of factors contributing to the damage of residential houses in Australia

This paper reports on the preparation and management processes of inconsistent data on damage on residential houses in Victoria, Australia. There are no existing specific and fully relevant databases readily available except for the incomplete paper-based and electronic-based reports. Therefore, the extracting of information from the reports is complicated and time consuming in order to extract and include all the necessary information needed for analysis of damage on residential houses founded on expansive soils. Data mining is adopted to develop a database. Statistical methods and Artificial Intelligence methods are used to quantify the quality of data. The paper concludes that the development of such database could enable BHC to evaluate the usefulness of the reports prepared on the reported damage properties for further analysis.

An examination of Australian gold mining firms' exposure over the collapse of gold price in the late 1990s

Purpose – The purpose of this study is to examine the exposures of Australian gold mining firms in the highly volatile period from 1995 to 2000. This period has been characterized by significant changes in gold price due to bulk sale of gold by collective central banks. Specifically, the paper aims to investigate several firm-specific factors that are hypothesized to carry substantial influence on gold beta.

Design/methodology/approach – To estimate gold beta, we use the following multifactor model: R_g,_t = a+ß_gGPR_t + ß_xFXR_t + ß_mR_m,_t + _Et , where R_g,_t is the return on the gold stock Index at time t, GPR_t is the gold price return denominated in US dollar at time t, FXR_t is the foreign exchange return of Australian dollar in terms of US dollar at time t, R_m,t is the market return at time t, and _Et is the random error term at time t.

Findings – The paper finds that the values of gold beta are consistently greater than one, implying the sensitive nature of firms’ stock returns to gold price changes. This also suggests that investors holding gold mining stock would receive higher percentage increases in stock returns from a percentage increase in gold price returns, as opposed to investors holding gold bullion. Furthermore, these values have changed substantially over time with significant changes in gold price volatility. The most important and consistent relationship that we find is the impact of firms’ hedging behavior on their respective gold betas. This is consistent with Tufano’s study. It implies that firms, which hedge a greater proportion of their gold reserves, are less sensitive to movements in gold prices. The finding therefore supports the risk management theory that hedging increases shareholder’s wealth. However, cash operating costs, cash reserves and the level of gold production seem to influence very little on the firms’ exposure to gold price changes.

Originality/value – This study is of interest and important to the stock mining companies and investors because the extent of the effect of gold price movements on the stock returns of gold mining companies has significant impacts on returns for both firms and investors especially in their risk management and investment decisions, respectively.