This systematic review aims to determine the effectiveness of corticosteroids in treating anosmia COVID 19 patients. study used a approach gathering data, from scouring through web-based journals into sifting unrelated studies. The process are levelled with varying degrees specificity, PICO (Population, Intervention, Comparison, Outcome) which were Post COVID-19 patients anosmia, corticosteroid...

Network worms are a clear and growing threat to the security of today’s Internet-connected hosts and networks. The combination of the Internet’s unrestricted connectivity and widespread software homogeneity allows network pathogens to exploit tremendous parallelism in their propagation. In fact, modern worms can spread so quickly, and so widely, that no human-mediated reaction can hope to conta...

This Thesis brings together complementary research from higher-order computational logic and workflow systems to investigate software and theoretical frameworks for profiling and matching heterogeneous data. A motivating use case is submission sifting, which matches submitted conference or journal papers to potential peer reviewers based on the similarity between the paper’s abstract and the re...

The most challenging in speech enhancement technique is tracking non-stationary noises for long segments and low Signal-to-Noise Ratio (SNR). Different techniques have been proposed but, those were inaccurate highly noises. As a result, Empirical Mode Decomposition Hurst-based (EMDH) approach to enhance the signals corrupted by acoustic Hurst exponent statistics was adopted identifying selectin...

We have developed a summarization method that creates a snmmary suitable for tim p,'ocess o f sifting information retrieval results. Unlike conventional methods that extract ilnportant sentences, this method constructs short phrases to reduce the burden of reading long sentences. We have developed a prototype summarization system tbr Japanese. Through a rather large-scale task~ based experiment...

Motivation: The amount of information widely available in electronic form is growing at an enormous rate. It is generally accepted that this holds great promise for applications as diverse as basic research, news, entertainment, and on-line social communities. Generally useful techniques for sifting through this mostly unstructured stuff are in great demand, as can be seen by the proliferation ...

We present methods for the construction of small Ordered Kronecker Functional Decision Diagrams (OKFDDs). OKFDDs are a generalization of Ordered Binary Decision Diagrams (OBDDs) and Ordered Functional Decision Diagrams (OFDDs) as well. Our approach is based on dynamic variable ordering and decomposition type choice. For changing the decomposition type we use a new more eecient method. The quali...

For the new knowledge manager, the prospect of putting knowledge management theories into practice can be daunting. Different knowledge management schools of thought include various lenses through which knowledge work can be viewed and explained, and there is no unifying paradigm for the design and implementation of knowledge management strategies. The new knowledge manager faces the task of si...

Information retrieved from open distributed systems can be of uncertain reliability and sifting through a large amount of data can be a complex procedure. In real life, we handle such problems through the social mechanisms of trust and word-of-mouth, or reputation. We propose a sociologically motivated trust and reputation model for the problem of reliable information retrieval and present an e...