BACKGROUND Supervision has been identified as a major issue in quality of care. Although increasing attention is being given to supervision in the District Health System, there have been no studies describing the current situation. This article describes a survey done in two health districts in KwaZulu-Natal involving 319 nurses from all types of government health care settings. METHODS This ...

In recent years, Internet of Things (IoT) has made rapid development, and IoT devices are developing towards intelligence. terminal represented by surveillance cameras play an irreplaceable role in modern society, most them integrated with video action recognition other intelligent functions. However, their performance is somewhat affected the limitation computing resources lack long-range non-...

Spatial prediction is to predict the values of targeted variable, such as PM2.5 and temperature, at arbitrary locations based on collected geospatial data. It greatly affects key research topics in geoscience terms obtaining heterogeneous spatial information (e.g., soil conditions, precipitation rates, wheat yields) for geographic modeling decision-making local, regional, global scales. In-situ...

Existing deep embedding clustering methods fail to sufficiently utilize the available off-the-shelf information from feature embeddings and cluster assignments, limiting their performance. To this end, we propose a novel method, namely attention-guided graph with dual self-supervision (DAGC). Specifically, DAGC first utilizes heterogeneity-wise fusion module adaptively integrate features of aut...

Supervised neural-network learning algorithms have proven very successful at solving a variety of learning problems. However, they suffer from a common problem of requiring explicit output labels. This requirement makes such algorithms implausible as biological models. In this paper, it is shown that pattern classification can be achieved, in a multilayered feedforward neural network, without r...

BACKGROUND Polygraphy is used increasingly in the treatment and supervision of sex offenders, but little research has addressed its accuracy in this setting, or linked accuracy with utility. AIMS To investigate the utility and accuracy of polygraphy in post-conviction testing of community-based sex offenders. METHOD A self-report measure examined the experiences of offenders with polygraphy...

Nine counselling psychology students were enrolled in a 12-week pilot practicum (i.e. a work placement) for either one hour of course credit (six students) or three hours (three students). Group supervision was provided both in-person and by videoconferencing. Each trainee completed a measure evaluating their satisfaction with supervision (Supervisory Satisfaction Questionnaire, SSQ) and the su...

Deep convolutional networks for semantic image segmentation typically require large-scale labeled data, e.g., ImageNet and MS COCO, for network pre-training. To reduce annotation efforts, self-supervised semantic segmentation is recently proposed to pre-train a network without any humanprovided labels. The key of this new form of learning is to design a proxy task (e.g., image colorization), fr...