original article   evaluation of lymphadenopathy is of clinical significance as the underlying disease may range from a treatable infectious etiology to malignant neoplasm. the aim and objective of the present study was to evaluate palpable lymph nodes of population working in small to medium scale industries represented as group a by fine needle aspiration cytology (fnac) and to compare the re...

The implementation of Machine Learning (ML) algorithms on stand-alone small-scale devices allows the incorporation of new services and advanced functionalities without the need of resorting to remote computing systems. Despite having undeniable advantages with respect to conventional general-purpose devices, e.g. in terms of cost/performance ratios, small-scale systems suffer of issues related ...

The demand for gender analysis is now increasingly orthodox in natural resource programming, including that for small-scale fisheries. Whilst the analysis of social-ecological resilience has made valuable contributions to integrating social dimensions into research and policy-making on natural resource management, it has so far demonstrated limited success in effectively integrating considerati...

A wireless sensor networks (WSNs) is composed of small sensors with limited capabilities that are densely distributed in the area. WSNs are subject to more packet loss and congestion. To alleviate congestion, either the source transmission rate should be controlled or the available resources have to be increased. A precision resource control mechanism is necessary to possess an efficient and ac...

We study the transfer of energy between different scales for forced three-dimensional MHD turbulent flows in the kinematic dynamo regime. Two different forces are examined: a non-helical Taylor Green flow with magnetic Prandtl number PM = 0.4, and a helical ABC flow with PM = 1. This analysis allows us to examine which scales of the velocity flow are responsible for dynamo action, and which sca...

Achieving autonomy for robots involves building algorithms for the robots to localize themselves as well as map the environment around them. This problem, called Simultaneous Localization and Mapping (SLAM), has received significant attention in robotics literature. Traditionally, SLAM algorithms represent maps as gigantic matrices (occupancy grids) [3]. They also make use of expensive and ener...