Heart disease and cancer are the leading causes of death in older adults. Many first-line cancer treatments have the potential for cardiotoxicity. Age-related risk factors, pre-existing cardiac disease, and a high prevalence of comorbidities are reasons for increased cardiotoxicity in older adults. Concerns regarding cardiotoxicity may lead to frailty bias and undertreatment, resulting in suboptimal outcomes. There is an urgent need for geriatric-specific evidence and guidelines to help tailor care for this vulnerable group. A multi-disciplinary approach based on close collaboration between oncologists, cardiologists, and geriatricians, among other specialist clinicians is essential.

originated by each node, together with the exact time at which each change in motion or packet origination is to occur. We Routing in adhoc networks is nontrivial due to highly pre-generated 45 different scenario files with varying dynamic nature of the nodes. In recent years several routing movement patterns and traffic loads (Constant Bit Rate). The protocols targeted at mobile adhoc networks are being movement scenario files we used for each simulation are proposed and prominent among them are DSDV, AODV, characterized by a pause time. Each node begins the simulation TORA, and DSR. This paper does the comprehensive by remaining stationary for pause time seconds. It then selects performance analysis of the routing protocols using ns2 a random destination and moves to that destination at a speed simulator considering all the metrics as suggested by RFC distributed uniformly between 0 and some maximum speed (20 2501. Results indicate reactive routing protocols are more m/s). Upon reaching the destination, the node pauses again for suitablefor adhoc networks. pause time seconds, selects another destination, and proceeds as previously described, repeating this behaviour for the Keywords duration of the simulation.

No abstract

No abstract

A flexible object recognition system is considered which can compute the good features for high classification of objects. To characterize an output class or object usage of appropriate features is vital for all classification problems. Moment invariant functions are very useful for object classification, regardless of its orientation, size and position. The main features leading us to our objective are representations of objects using 2D images. The proposed paper focus on, the classification performance of classifiers with moment-based feature sets is introduced after only efficient feature extraction. The experimental results shows that the proposed feature descriptor performs well with existing texture descriptors in terms of classification accuracy.

No abstract

As the growth of mobile users increasing in the present scenario and because of limited bandwidth available, there is a need to efficiently use the bandwidth available. The quality of service can be maximized by efficient bandwidth reservation. In this paper, the cross layer based bandwidth reservation scheme is proposed which initially reserves some amount of bandwidth for handoff flows. After that the bandwidth can be increased for handoff flows by the base station based on the user mobility. The user may not only go straight but also left, right and backwards. This paper considers all possibilities of user movements and bandwidth is reserved accordingly. Therefore making the base stations to dynamically increase the reserved bandwidth for handoffs when the initially reserved bandwidth is insufficient reduces the end to end delay and increases the throughput of the system. The proposed system performance is compared with the legacy systems and is shown to be better.

No abstract