introduction: due to the vital role of nurses and the effects of scientific advances on nursing care, providing high quality nursing services is not possible without participating in the in-service training programs and becoming familiar with the new techniques. this study aimed to determine the motivational factors influencing the participation in the in-service training courses among nurses w...

abstract background: there are several evaluation models that can be used to evaluate the effect of in‑service training; one of them is the kirkpatrick model. the aim of the present study is to assess the in-service training of cardiopulmonary resuscitation (cpr) for nurses based on the kirkpatrick’s model. materials and methods: this study is a cross‑sectional study based on the kirkpatrick’s ...

Sufficient training data is normally required to train deeply learned models. However, the number of pedestrian images per ID in person re-identification (re-ID) datasets is usually limited, since manually annotations are required for multiple camera views. To produce more data for training deeply learned models, generative adversarial network (GAN) can be leveraged to generate samples for pers...

BACKGROUND The New Jersey Safe Schools Program (NJSS) offers courses required for secondary school vocational-career-technical education teachers to become school-sponsored structured learning experience supervisors. The "Federal Wage and Hour and Child Labor Laws, Regulations and Hazardous Order Course" (FWH) was originally conducted in-person by U.S. Department of Labor-Wage and Hour Division...

The effectiveness of appearance based person models strongly relies on a sufficiently large number of high quality training samples. Generating training data in terms of bounding boxes is already a time consuming task. If more complex person models are used, like part-based models or models suitable for human pose estimation, the labeling process becomes infeasible. In the context of pose estim...

Person re-identification is challenging due to the large variations of pose, illumination, occlusion and camera view. Owing to these variations, the pedestrian data is distributed as highly-curved manifolds in the feature space, despite the current convolutional neural networks (CNN)’s capability of feature extraction. However, the distribution is unknown, so it is difficult to use the geodesic...

A face recognition system that functions in the presence of illumination variations is presented. It is based on the minimum noise and correlation energy (MINACE) filter. A separate MINACE filter is synthesized for each person using an automated filter-synthesis algorithm that uses a training set of illumination differences of that person and a validation set of a few faces of other persons to ...

according to the standard of reasonable and ordinary person, negligence consists in doing something which a reasonable and ordinary person would not have done in that situation or omitting something which a reasonable and ordinary person would have done in that situation. in this article, descriptive and normative content of reasonable and ordinary person has been studied; it's ambiguities...