1,465 research outputs found
Application of simulation and modelling in managing unplanned healthcare demand
Patients who attend Accident and Emergency (A & E) departments with problems that could be dealt with by
their general practitioners (GPs) use time and resources of the department that could be otherwise used for
patients with more appropriate needs. Hospital managers
throughout the world are facing increasing pressure to introduce measures and initiatives to
significantly ease the problem of such inappropriate attendances at A&E departments.
This study looks at an initiative in which primary care clinicians are used to help deflect patients
with non-urgent needs away from A&E. Simulation and modelling was used to assess the
impact that this initiative would have on A&E workflow. The results suggest that the deflection of patients attending A&E with non-urgent needs may reduce the time spent in
A&E by all patients attending A&E
A multi-faceted approach to optimising a complex unplanned healthcare system
Unscheduled and urgent health care represents the largest area of activity and cost for the UK’s National Health Service (NHS). Like typical complex systems unplanned care has the features of interdependence and having structures at different scales which requires modelling at different levels. The aim of this paper is to discuss the development of a multifaceted approach to study and optimise this complex system. We aim to integrate four different methodologies to gain better understanding of the nature of the system and to develop ways to enhance its performance. These methodologies are: (a) Lean/ Flow theory to look at the process and patients and other flows; (b) Simulation/ System Dynamics to undertake analytical analysis and multi-level modelling; (c) stakeholder consultation and use of system thinking to analyse the system and identify options, barriers and good practice; and (d) visual analytic modelling to facilitate effective decision making in this complex environment. Of particular concern are the boundary issues i.e. how changes in unplanned care will impact on the adjacent facilities and ultimately on the whole Healthcare system
Mobile Phones and Social Inclusion of Women in Africa: A Nigerian Perspective
Information and communication technologies (ICTs) are increasingly being recognised as vital tools with regards to the social inclusion of women. Specifically, we investigate the effect of mobile phone use on the social inclusion of women in Nigeria. Our study focuses on what these women are able to achieve with their mobile phones and the implication of these achievements on their ability to effectively participate in the society. We draw on a qualitative ethnographic study of resettled northern women in the southern city of Lagos to understand how mobile phone use contributes to their social inclusion. From our analysis, we derive valuable capabilities such as to generate income, to be financially included, to maintain social relationships and to seek relevant information, that are enabled for these women through mobile phone use. However, the realisation of these capabilities is dependent upon personal, social and environmental conditions. We illustrate how women exercise their agency to use mobile phones in ways that enhance their wellbeing and overall effective participation in this new society. Our findings contribute to the discourse on the role of ICT in the process of social inclusion for women
Conversation Exchange Dynamics: A New Signal Primitive for Computer Network Intrusion Detection
As distributed network intrusion detection systems expand
to integrate hundreds and possibly thousands of sensors,
managing and presenting the associated sensor data becomes
an increasingly complex task. Methods of intelligent data
reduction are needed to make sense of the wide dimensional
variations. We present a new signal primitive we call
conversation exchange dynamics (CED) that accentuates
anomalies in traffic flow. This signal provides an aggregated
primitive that may be used by intrusion detection systems to
base detection strategies upon. Indications of the signal in a
variety of simulated and actual anomalous network traffic
from distributed sensor collections are presented.
Specifically, attacks from the MIT Lawrence Livermore IDS data set are considered. We conclude that CED presents a useful signal primitive for assistance in conducting IDS
Energy efficiency performance improvements for ant-based routing algorithm in wireless sensor networks
The main problem for event gathering in wireless sensor networks (WSNs) is the restricted communication range for each node. Due to the restricted communication range and high network density, event forwarding in WSNs is very challenging and requires multihop data forwarding. Currently, the energy-efficient ant based routing (EEABR) algorithm, based on the ant colony optimization (ACO) metaheuristic, is one of the state-of-the-art energy-aware routing protocols. In this paper, we propose three improvements to the EEABR algorithm to further improve its energy efficiency. The improvements to the original EEABR are based on the following: (1) a new scheme to intelligently initialize the routing tables giving priority to neighboring nodes that simultaneously could be the destination, (2) intelligent update of routing tables in case of a node or link failure, and (3) reducing the flooding ability of ants for congestion control. The energy efficiency improvements are significant particularly for dynamic routing environments. Experimental results using the RMASE simulation environment show that the proposed method increases the energy efficiency by up to 9% and 64% in converge-cast and target-tracking scenarios, respectively, over the original EEABR without incurring a significant increase in complexity. The method is also compared and found to also outperform other swarm-based routing protocols such as sensor-driven and cost-aware ant routing (SC) and Beesensor
Attraction and consumption of methyl eugenol by male Bactrocera umbrosa Fabricius (Diptera: Tephritidae) promotes conspecific sexual communication and mating performance
The Artocarpus fruit fly, Bactrocera umbrosa (Fabricius) (Diptera: Tephritidae), is an oligophagous fruit pest infesting Moraceae fruits, including jackfruit (Artocarpus heterophyllus Lamarck), a fruit commodity of high value in Malaysia. The scarcity of fundamental biological, physiological and ecological information on this pest, particularly in relation to behavioural response to phytochemical lures, which are instrumental to the success of many area-wide fruit fly control and management programmes, underpins the need for studies on this much-underrated pest. The positive response of B. umbrosa males to methyl eugenol (ME), a highly potent phytochemical lure, which attracts mainly males of many Bactrocera species, was shown to increase with increasing age. As early as 7 days after emergence (DAE), ca. 22% of males had responded to ME and over 50% by 10 DAE, despite no occurrence of matings (i.e. the males were still sexually immature). Male attraction to ME peaked from 10 to 27 DAE, which corresponded with the flies’ attainment of sexual maturity. In wind-tunnel assays during the dusk courtship period, ME-fed males exhibited earlier calling activity and attracted a significantly higher percentage of virgin females compared with ME-deprived males. ME-fed males enjoyed a higher mating success than ME-deprived males at 1-day post ME feeding in semi-field assays. ME consumption also promotes aggregation behaviour in B. umbrosa males, as demonstrated in wind-tunnel and semi-field assays. We suggest that ME plays a prominent role in promoting sexual communication and enhancing mating performance of the Artocarpus fruit fly, a finding that is congruent with previous reports on the consequences of ME acquisition by other economically important Bactrocera species
Oxytocin Attenuates the Stress-Induced Reinstatement of Alcohol-Seeking in Male Rats: Role of the Central Amygdala
Factors such as stress and anxiety often contribute to alcohol-dependent behavior and can trigger a relapse of alcohol addiction and use. Therefore, it is important to investigate potential pharmacological interventions that may alleviate the influence of stress on addiction-related behaviors. Previous studies have demonstrated that the neuropeptide oxytocin has promising anxiolytic potential in mammals and may offer a pharmacological target to diminish the emotional impact on reinstatement of alcohol-seeking. The purpose of the present study was to investigate the effect of oxytocin on stress-induced alcohol relapse and identify a neural structure mediating this effect through the use of an ethanol self-administration and yohimbine-induced reinstatement paradigm. While yohimbine administration resulted in the reinstatement of ethanol-seeking behavior, the concurrent administration of yohimbine and oxytocin attenuated this effect, suggesting that oxytocin may disrupt stress-induced ethanol-seeking behavior. The central amygdala (CeA) is a structure that drives emotional responses and robustly expresses oxytocin receptors. Intra-CeA oxytocin similarly attenuated the yohimbine-induced reinstatement of ethanol-seeking behavior. These results demonstrate that oxytocin has the potential to attenuate stress-induced relapse into ethanol-seeking behavior, and that this mechanism occurs specifically within the central amygdala
Network form of implementation of master's Degree programs
The network form of implementation of educational programs is aimed to ensure continuous improvement of a quality of education. It allows expanding students' access to modern educational technologies and facilities, provides opportunities to select various training directions and specializations, and helps to obtain in-depth knowledge of relevant professional disciplines, and efficient use of all available educational resources. This article considers advantages of developing network educational Master's degree program in Solar Energy Technology taught in English medium implemented by leading universities of Russian Federation: Saint Petersburg Electrotechnical University «LETI», National University of Science and Technology «MISIS», National Research University «Moscow Power Engineering Institute» and People's Friendship University of Russia. Three universities of the group, LETI, MISIS and PFUR, are participants of the project 5-100, which aims to maximize the competitive position of a group of leading Russian universities in the global research and education market
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