[Update on Current Care Guideline: Insomnia]. / KÄYPÄ HOITO-SUOSITUS (Päivitystiivistelmä). Unettomuus.

Insomnia symptoms must be differentiated from insomnia disorder. The correct aiagnosis or insomnia aisoraer is important, as insomnia may also be a symptom of many other diseases. Cognitive behavioral methods are recommended as first-line treatment options. Treatment of acute insomnia with hypnotics should not exceed two weeks. In elderly persons adverse effects of hypnotics may exceed their beneficial effects in long-term use. Antidepressive medications acting on the histamine-1 system may be used in very small doses. The new guideline includes e.g. insomnia in pregnant and menopausal women and in cancer patients, and driving issues.

A neural network model to minimize the connected dominating set for self-configuration of wireless sensor networks.

A wireless ad hoc sensor network consists of a number of sensors spreading across a geographical area. The performance of the network suffers as the number of nodes grows, and a large sensor network quickly becomes difficult to manage. Thus, it is essential that the network be able to self-organize. Clustering is an efficient approach to simplify the network structure and to alleviate the scalability problem. One method to create clusters is to use weakly connected dominating sets (WCDSs). Finding the minimum WCDS in an arbitrary graph is an NP-complete problem. We propose a neural network model to find the minimum WCDS in a wireless sensor network. We present a directed convergence algorithm. The new algorithm outperforms the normal convergence algorithm both in efficiency and in the quality of solutions. Moreover, it is shown that the neural network is robust. We investigate the scalability of the neural network model by testing it on a range of sized graphs and on a range of transmission radii. Compared with Guha and Khuller's centralized algorithm, the proposed neural network with directed convergency achieves better results when the transmission radius is short, and equal performance when the transmission radius becomes larger. The parallel version of the neural network model takes time O(d), where d is the maximal degree in the graph corresponding to the sensor network, while the centralized algorithm takes O(n2). We also investigate the effect of the transmission radius on the size of WCDS. The results show that it is important to select a suitable transmission radius to make the network stable and to extend the lifespan of the network. The proposed model can be used on sink nodes in sensor networks, so that a sink node can inform the nodes to be a coordinator (clusterhead) in the WCDS obtained by the algorithm. Thus, the message overhead is O(M), where M is the size of the WCDS.

An improved neural network model for the two-page crossing number problem.

The simplest graph drawing method is that of putting the vertices of a graph on a line and drawing the edges as half-circles either above or below the line. Such drawings are called two-page book drawings. The smallest number of crossings over all two-page drawings of a graph G is called the two-page crossing number of G. Cimikowski and Shope have solved the two-page crossing number problem for an n-vertex and m-edge graph by using a Hopfield network with 2 m neurons. We present here an improved Hopfield model with m neurons. The new model achieves much better performance in the quality of solutions and is more efficient than the model of Cimikowski and Shope for all graphs tested. The parallel time complexity of the algorithm, without considering the crossing number calculations, is O(m) for the new Hopfield model with m processors clearly outperforming the previous algorithm.

Effects of a group-based exercise program on functional abilities in frail older women after hospital discharge.

BACKGROUND AND AIMS: An acute illness may place older frail people at increased risk of losing independence in functional abilities. Physical exercise may reduce the risk by improving muscle strength and balance. However, the effects of physical training on functional abilities have not been studied among frail, very old people recovering from an acute illness. The aim of this study was to determine the effects of a group-based exercise program on their ability to carry out self-care (ADL) and instrumental activities (IADL) relevant to daily life after discharge from hospital. METHODS: This randomized controlled trial examined 68 community-dwelling women aged 75 years or older (mean age 83.0, SD 3.9) who were hospitalized due to an acute illness, and were mobility-impaired at admission. Participants were recruited from the geriatric ward of a primary-care health-center hospital, and were randomized into group-based strength training (n=34) and control (n=34) groups. The 10-week group-based intervention included strength training and functional exercises. The control group received instructions for a home exercise training program, including functional exercises but no further encouragement to exercise. The level of independence in ADL and IADL was evaluated, using a 13-item scale with stepwise grading from fully independent to fully dependent. Measurements took place immediately before and after the intervention, and three and nine months later. RESULTS: The intervention did not have any significant main effect (p = 0.407), nor was there any significant interaction between follow-up time and intervention (p = 0.854). CONCLUSIONS: The multicomponent outpatient strength training program did not improve autonomy in expert-evaluated ADL/IADL functions.