Relationship among grip strength,functional outcomes,and work performance following hand trauma

This study examined the relationship among the recovery grip strength, functional outcomes, and work performance following occupational therapy intervention for hand trauma. This study had a sample size of 15 participants whose recovery grip strength was measured using a Jamar dynamometer, whose satisfaction with outcomes was measured by the Michigan Hand Outcomes Questionnaire (MHQ), and whose compliance with the home therapy program was measured by a visual analog scale (VAS). A Pearson r correlation demonstrated a significant relationship between recovery grip strength and two MHQ subset scores: overall hand function (r = 0.59, p = 0.019) and activities of daily living (ADL) performance (r = 0.61, p = 0.016). The participants' self-rating of compliance did not predict or influence either recovery grip strength or MHQ scores. A moderate positive correlation approaching significance (r = 0.51, p = 0.052) was found between grip strength and overall MHQ scores. The researchers concluded that a recovery grip strength measure should be used along with functional measures to appropriately assess overall hand function following hand trauma.     

Productivity drift in extended learning curves

The pattern of changes in the Extended Learning Curves representing the performance of 114 assembly workers in an electronics firm is examined in terms of changes in productivity drift over long periods of time. It is shown that 2 types of discontinuities can occur. The first consists of a temporary levelling off in productivity followed by a recovery to new higher levels of productivity; the second has a sustained period of negative productivity drift. A number of work facets are statistically tested as possible causes of these patterns of productivity drift, but, the only significant relationship (at P ≤ 0.05 level) is with length of service in job. Some evidence is presented to show that conventional work measurement methods are not effective in terms of assessing the true work output of experienced workers since such workers are able to beat the system by claiming those allowances which are most difficult to cross-check.     

Silver screen sorting: Social identity and selective exposure in popular film viewing

While research in media and politics has long stressed the importance of television, the political impact of movies has largely been ignored. However, a small body of literature suggests that both political docudramas and popular films may have the capacity to change the issue attitudes of viewers. Building on that work, this paper examines the potential for selective exposure in movie viewership. We develop a theory that there is large-scale sorting into popular movies rooted in social identity theory. We argue that sorting is a result of two processes: film studios marketing films towards particular social groups and individuals sorting into films based on social group characteristics. We test this theory using a unique dataset in which undergraduate students were asked to rate trailers for a variety of political docudramas and popular films. Our results indicate that there is indeed widespread sorting into popular films on the basis of social identities rooted in socio-demographic traits.     

A production engineering approach to robot selection

The successful introduction of robots into an industrial enterprise means real commitment, engineering support, and detailed involvement in the planning of an integrated manufacturing system. In particular, the production engineer is clearly seen in this context to be the system designer. He must therefore be in a position to specify the performance of all man and machine components within the system such that productivity is maximised. Robot types are reviewed, and analogies between man and machine are used to introduce the RTM concept. Finally, a simple method is given for estimating robot throughput times from elementary velocity profiles. The fall-off in throughput due to the effect of many small robot movements is emphasised.     

Measures of discrimination for latent group-based trajectory models

In clinical research, patient care decisions are often easier to make if patients are classified into a manageable number of groups based on homogeneous risk patterns. Investigators can use latent group-based trajectory modeling to estimate the posterior probabilities that an individual will be classified into a particular group of risk patterns. Although this method is increasingly used in clinical research, there is currently no measure that can be used to determine whether an individual's group assignment has a high level of discrimination. In this study, we propose a discrimination index and provide confidence intervals of the probability of the assigned group for each individual. We also propose a modified form of entropy to measure discrimination. The two proposed measures were applied to assess the group assignments of the longitudinal patterns of conduct disorders among young adolescent girls.