Nottingham Trent University

About: Nottingham Trent University is a education organization based out in Nottingham, United Kingdom. It is known for research contribution in the topics: Population & Addiction. The organization has 4702 authors who have published 12862 publications receiving 307430 citations. The organization is also known as: NTU & Trent Polytechnic.

Individual brief art therapy can be helpful for women with breast cancer: a randomized controlled clinical study.

Abstract: Objective: Recent research shows that almost every second woman with breast cancer is depressed or has anxiety; the risk for younger women is even higher. Moreover, research shows that women are at ...

A review on the effects of light-emitting diode (LED) light on the nutrients of sprouts and microgreens

Abstract: Background Sprouts and microgreens, which are tender, flavourful, rich in nutrients, have a short growth cycle, and have been recognized as functional foods in the human diet. Culturing under artificial light sources could regulate the growth, the phytochemical compound content and antioxidant capacity of sprouts and microgreens. Scope and approach In this review, the effects of light-emitting diode (LED) light on growth, phytochemical compound content and antioxidant capacity, as well as the post-harvest quality of sprouts and microgreens were overviewed, and the underlying mechanisms were discussed. The future applications and research, which aim to improve the growth and nutritional quality of sprouts and microgreens, were also investigated. Key findings and conclusions LED light can promote the accumulation of different phytochemicals, such as phenolic compounds, vitamins, glucosinolates, chlorophyll and carotenoids. Meanwhile, the antioxidant capacity could also be significantly increased by growth under LED light, in particular UV-B light. The accumulation of mineral elements (Ca2+, Fe2+, K+) increased after light exposure. The effects of LED light on the growth was species dependent. Therefore, growth under LED light is an efficient and promising strategy for producing sprouts and microgreens with higher nutritional values.

Behavioural pattern identification and prediction in intelligent environments

Abstract: In this paper, the application of soft computing techniques in prediction of an occupant's behaviour in an inhabited intelligent environment is addressed. In this research, daily activities of elderly people who live in their own homes suffering from dementia are studied. Occupancy sensors are used to extract the movement patterns of the occupant. The occupancy data is then converted into temporal sequences of activities which are eventually used to predict the occupant behaviour. To build the prediction model, different dynamic recurrent neural networks are investigated. Recurrent neural networks have shown a great ability in finding the temporal relationships of input patterns. The experimental results show that non-linear autoregressive network with exogenous inputs model correctly extracts the long term prediction patterns of the occupant and outperformed the Elman network. The results presented here are validated using data generated from a simulator and real environments.