A multi-component assessment model for monitoring training distress among athletes

We report the initial validation of a multi-component assessment model for monitoring training distress among athletes. The model combines measures of mood disturbance with measures of perceived stress and symptom intensity. Altogether, 492 athletes completed the 10-item Perceived Stress Scale (PSS-10; Cohen et al., 1983), the 24-item Brunel Mood Scale (BRUMS; Terry et al., 2003), and a checklist of 19 symptoms associated with acute overtraining (Fry et al., 1994). Six training distress factors were identified by an exploratory factor analysis: ‘‘depressed mood’’, ‘‘perceived vigour’’, ‘‘physical symptoms’’, ‘‘sleep disturbance’’, ‘‘perceived stress’’, and ‘‘general fatigue’’. Comparisons of group means of these factors with a previously validated inventory were consistent with theoretical predictions and provided evidence of construct validity. Internal consistency of the subscales was also confirmed, with Cronbach alphas ranging from 0.72 to 0.86. Together, these findings suggest that this multi-component model provides a sound conceptual basis for the assessment of training distress among athletes.

Reproducibility of digital evidence in forensic investigations

We present a three-component model of a digital investigation which comprises: determination of input-output layers, assignment of read and write operations associated with use of forensic tools, and time-stamping of read and write operations. This builds on work of several authors, culminating in the new model presented here which is generic, scalable and compatible with all functions in the system, and which is guaranteed to produce a high quality of reproducibility.

Compositional dynamics of a commercial wine fermentation using two-dimensional FTIR correlation analysis

We have demonstrated that compositional changes occurring during a commercial red wine fermentation can be effectively monitored using FTIR spectroscopy and modelled with the aid of two-dimensional correlation techniques. This study represents a novel application of two-dimensional spectroscopy and showed that the reaction rates for the conversion of fructose and glucose to alcohol were different, with the latter being more rapid. The use of a simple three-component model serves to aid interpretation of the data and the results obtained confirm the value of two-dimensional FTIR correlation spectroscopy as a chemometric tool which has considerable potential for process monitoring.

The effects of accounting students` ethical reasoning and personal factors on their ethical sensitivity

Purpose – Rest posited that to behave morally, an individual must have performed at least four basic psychological processes: moral sensitivity; moral judgment; moral motivation; and moral character. Though much ethics research in accounting has been focused on component two, ethical judgment, less research has been undertaken on the other three components. The purpose of this study is to focus on component one, ethical sensitivity, of Rest's four-component model.
Design/methodology/approach – A sample of 156 accounting undergraduates was employed to investigate the ethical sensitivity of accounting students and the effects of their ethical reasoning and personal factors on their ethical sensitivity.
Findings – Results of this study show that accounting students vary in their ability to detect the presence of ethical issues in a professional scenario. There is no significant relationship between accounting students' ethical sensitivity and their ethical reasoning (P-score). Accounting students characterized as “internals” are more likely to show an ability to recognize ethical issues than those characterized as “externals.” The results also indicate that an accounting ethics intervention may have positive effect on accounting students' ethical sensitivity development. Hence, an individual who possesses the ability to determine what is ethically right or wrong (high ethical reasoning) may fail to behave ethically due to a deficiency in identifying ethical issues (low ethical sensitivity) in a situation.
Originality/value – Whilst much research has concentrated on ethical reasoning and ethics education to enhance the ethical conduct of accountants, it is important that the profession and researchers also direct their attention and efforts to cultivating the ethical sensitivity of accountants. The findings of this study provide additional evidence to support Rest's theory of a more comprehensive cognitive model of ethical decision-making and suggest a more balanced research effort in evaluating the ethical development of individuals.

Keeping all students on the learning path

A powerful notion to guide thinking about whole-class mathematics teaching is Vygotsky’s zone of proximal development (ZPD). Our research with primary and secondary teachers over the last six years has identified roles of teachers in relation to the ZPD, and ways of overcoming some typical barriers to students’ movement through their zones. Methods have included focus groups of experts, video analysis of classroom interactions, classroom observation, and analysis of lesson plans and teachers’ reflections teaching processes their outcomes. The research has involved the gradual development, trailing, evaluation, and adjustment of a six-component model for planning and teaching mathematics. The focus of this paper is on the use of one of its components, “differentiated learning trajectories”.

Developing an ethics education framework for accounting

The purpose of this paper is to propose a framework of ethics education that promotes the structured learning of ethics in the accounting discipline. The Ethics Education Framework (EEF) is based on three key inter-related components that include: Rest’s (1986) Four-Component Model of ethical decision-making and behaviour; the key cognitive and behavioural objectives of ethics education; and the discrete and pervasive approaches to delivering content. The EEF provides university students and professional accountants a structure to learn to identify, analyse and resolve ethical issues, to the point of action. The EEF is a four-stage learning continuum represented as a set of building blocks which introduces ethical concepts and then reinforces and develops new levels of understanding with progressive stages. This paper describes the EEF, and includes a discussion of how it compares with other ethics education models, and an analysis of the support through responses by professional organisations (based on an Exposure Draft issued by the International Federation of Accountants (IFAC), as the initial International Education Practice Statement). The IFAC has now revised its International Education Standard (IES 4) in relation to ethics, with a commentary period till July 2011.

A novel bio-kinematic encoder for human exercise representation and decomposition - Part 1 : Indexing and modelling

Current bio-kinematic encoders use velocity, acceleration and angular information to encode human exercises. However, in exercise physiology there is a need to distinguish between the shape of the trajectory and its execution dynamics. In this paper we propose such a two-component model and explore how best to compute these components of an action. In particular, we show how a new spatial indexing scheme, derived directly from the underlying differential geometry of curves, provides robust estimates of the shape and dynamics compared to standard temporal indexing schemes.

A syntactic two-component encoding model for the trajectories of human actions

Human actions have been widely studied for their potential application in various areas such as sports, pervasive patient monitoring, and rehabilitation. However, challenges still persist pertaining to determining the most useful ways to describe human actions at the sensor, then limb and complete action levels of representation and deriving important relations between these levels each involving their own atomic components. In this paper, we report on a motion encoder developed for the sensor level based on the need to distinguish between the shape of the sensor's trajectory and its temporal characteristics during execution. This distinction is critical as it provides a different encoding scheme than the usual velocity and acceleration measures which confound these two attributes of any motion. At the same time, we eliminate noise from sensors by comparing temporal and spatial indexing schemes and a number of optimal filtering models for robust encoding. Results demonstrate the benefits of spatial indexing and separating the shape and dynamics of a motion, as well as its ability to decompose complex motions into several atomic ones. Finally, we discuss how this specific type of sensor encoder bears on the derivation of limb and complete action descriptions.

Copper-dependent iron assimilation pathway in the model photosynthetic eukaryote chlamydomonas reinhardtii

The unicellular green alga Chlamydomonas reinhardtii is a valuable model for studying metal metabolism in a photosynthetic background. A search of the Chlamydomonas expressed sequence tag database led to the identification of several components that form a copper-dependent iron assimilation pathway related to the high-affinity iron uptake pathway defined originally for Saccharomyces cerevisiae. They include a multicopper ferroxidase (encoded by Fox1), an iron permease (encoded by Ftr1), a copper chaperone (encoded by Atx1), and a copper-transporting ATPase. A cDNA, Fer1, encoding ferritin for iron storage also was identified. Expression analysis demonstrated that Fox1 and Ftr1 were coordinately induced by iron deficiency, as were Atx1 and Fer1, although to lesser extents. In addition, Fox1 abundance was regulated at the posttranscriptional level by copper availability. Each component exhibited sequence relationship with its yeast, mammalian, or plant counterparts to various degrees; Atx1 of C. reinhardtii is also functionally related with respect to copper chaperone and antioxidant activities. Fox1 is most highly related to the mammalian homologues hephaestin and ceruloplasmin; its occurrence and pattern of expression in Chlamydomonas indicate, for the first time, a role for copper in iron assimilation in a photosynthetic species. Nevertheless, growth of C. reinhardtii under copper- and iron-limiting conditions showed that, unlike the situation in yeast and mammals, where copper deficiency results in a secondary iron deficiency, copper-deficient Chlamydomonas cells do not exhibit symptoms of iron deficiency. We propose the existence of a copper-independent iron assimilation pathway in this organism.

A Taylor Model Based Description of the proof stress of magnesium AZ31 during hot working

A series of hot-compression tests and Taylor-model simulations were carried out with the intention of developing a simple expression for the proof stress of magnesium alloy AZ31 during hot working. A crude approximation of wrought textures as a mixture of a single ideal texture component and a random background was employed. The shears carried by each deformation system were calculated using a full-constraint Taylor model for a selection of ideal orientations as well as for random textures. These shears, in combination with the measured proof stresses, were employed to estimate the critical resolved shear stresses for basal slip, prismatic slip, ⟨c+a⟩ second-order pyramidal slip, and { } twinning. The model thus established provides a semianalytical estimation of the proof stress (a one-off Taylor simulation is required) and also indicates whether or not twinning is expected. The approach is valid for temperatures between ∼150 °C and ∼450 °C, depending on the texture, strain rate, and strain path.

Supportng Chinese distance learners through computer-mediated communication- revisting Salmon`s model

Salmon’s (2000) proposed model for the effective development of on-line communication and collaboration between student suggests that on-line socialisation forms an early and important component of establishing required levels of comfort and skill. In this paper we review research with Chinese learners that suggests that some adjustments to Salmon’s model may be advisable for these students. Specifically, the model is redeveloped to provide a more structured experience, and to use that structure to develop online skills, such that comfortable socialisation is seen as an end-point rather than as an early enabler.

A web-DB model on multicast and anycast

Most of the current web-based database systems suffer from poor performance, complicated heterogeneity, and synchronization issues. In this paper, we propose a novel mechanism for web-based database system on multicast and anycast protocols to deal with these issues. In the model, we put a castway, a network interface for database server, between database server and Web server. Castway deals with the multicast and anycast requests and responses. We propose a requirement-based server selection algorithm and an atomic multicast update algorithm for data queries and synchronizations. The model is independent from the Internet environment, it can synchronise the databases efficiently and automatically. Furthermore, the model can reduce the possibility of transaction deadlocks.

Awareness support in a component-based collaborative environment

The awareness support for activities in collaborative environments is important for effective collaboration and coordination. It helps people know who else is doing what in a shared workspace. The amount of awareness needed varies due to specific roles users undertake during collaboration. While emphasizing the importance of roles, we introduced related research on awareness and a component-based collaboration metamodel. Based on that metamodel, several awareness elements were discussed and implemented in a collaborative environment LiveNet4. Model view controller pattern used to construct the Web-based interface of LiveNet4 was also introduced at the end of this paper.

An intelligent energy management model for a parallel hybrid vehicle under combined loads

To exploit the benefits offered by parallel HEVs, an intelligent energy management model is developed and evaluated in this paper. Despite most existing works, the developed model incorporates combined wind/drag, slope, rolling, and accessories loads to minimise the fuel consumption under varying driving conditions. A slope prediction unit is also employed. The engine and the electric motor can output power simultaneously under a heavy-load or a slopped road condition. Two simulation were conducted namely slopped-windy-prediction and slopped-windy-prediction-hybrid. The results indicate that the vehicle speed and acceleration is smoother where the hybrid component was included. The average fuel consumption for the first and second simulations were 7.94 and 7.46 liter/100 km, respectively.