[Purpose] This study aimed to provide useful information for fall prevention for the elderly by investigating how safely the elderly cross an obstacle after 8 weeks water exercise, and how much of the training effect remained 8 weeks after finishing the exercise. [Subjects] Eleven elderly participants participated in this study. [Methods] To identify the training and detraining effect of 8 week...

In recent years, working time restrictions and a restructuring of postgraduate surgical training have resulted in increased reliance on emergency cross-cover (ECC)--the provision of emergency care by a doctor trained or training in a different specialty to that which they are requested to assess or manage. There are increasing concerns surrounding the provision of ECC, particularly regarding ap...

Due to its storage and retrieval efficiency, cross-modal hashing (CMH) has been widely used for cross-modal similarity search in multimedia applications. According to the training strategy, existing CMH methods can be mainly divided into two categories: relaxation-based continuous methods and discrete methods. In general, the training of relaxation-based continuous methods is faster than discre...

To be cost-effective, field service managers must balance the high cost of machine downtime with the high cost of cross-training technicians in multiple skills. We study a field service system with three job types requiring three different skills. Each server has a primary skill, the cost of which is considered sunk, and up to two secondary skills, which is a managerial decision. We model two i...

The previous research on cross-training mainly focused on productive efficiency. However, enhancing labor’s satisfaction of tasks is as much important as improving production performance. This paper addresses a new cross-training policy for an assembly cell from the point of view of humanization. A multi-objective 0-1 integer programming model is presented to implement the crosstraining policy ...

Vehicle Re-Identification (Re-ID) based on Unsupervised Domain Adaptation (UDA) has shown promising performance. However, two main issues still exist: (1) existing methods that use Generative Adversarial Networks (GANs) for domain gap alleviation combine supervised learning with hard labels of the source domain, resulting in a mismatch between style transfer data and labels; (2) pseudo label as...

In this paper the authors applied the idea of training multiple tasks simultaneously on a partially shared feed forward network to domain of ontology mapping. A “cross training” mechanism was used to specify corresponding nodes between the two ontologies. By examining output of one network in response to stimulus from the other network, we can test if the network can learn the correspondence th...

This article deals with the problem of Cross-Lingual Text Categorization (CLTC), which arises when documents in different languages must be classified according to the same classification tree. We describe practical and cost-effective solutions for automatic Cross-Lingual Text Categorization, both in case a sufficient number of training examples is available for each new language and in the cas...

Paavolainen et. al. (1991) reported that national level cross-country skiers who engaged in explosive type strength training in addition to their normal training, were able improve their force-times i.e. improve their ability to produce a given amount of force in shorter time. This was also described by a significant improvement of jump heights in both static and counter movement jumps, whereas...

We present an approach for cataloging an organization’s skill assets based on electronic communications. Our approach trains classifiers using messages from skill-related discussion groups and then applies those classifiers to a different distribution of personrelated e-mail messages. We present a general framework, called cross training, for addressing such discrepancies between the training a...