Distributed multimedia streaming systems are increasingly popular due to technological advances, and numerous streaming services are available today. On servers or proxy caches, there is a huge scaling challenge in supporting thousands of concurrent users that request delivery of high-rate, time-dependent data like audio and video, because this requires transfers of large amounts of data throug...

Data industry has grown exceedingly, now finding its applications in the fields no one would have imagined a few decades ago. science, Machine learning and Artificial intelligence major impacts national economy through million ways. Today, we will explore of their untapped uses: Traffic! This research document provide methods information regarding possible integration Radio-Frequency Identifica...

In recent years the role of epidemic models in informing public health policies has progressively grown. Models have become increasingly realistic and more complex, requiring the use of multiple data sources to estimate all quantities of interest. This review summarises the different types of stochastic epidemic models that use evidence synthesis and highlights current challenges.

What paper should I read next? Who should I talk to at a conference? Which research group should get this grant? Researchers and funders alike must make daily judgments on how to best spend their limited time and money–judgments that are becoming increasingly difficult as the volume of scholarly communication increases. Not only does the number of scholarly papers continue to grow, it is joined...

Chemical fertilizers are frequently used in agriculture with harmful effects on ecological components, so the use of microorganisms as growth regulators is an agricultural practice increasingly today. The aim this research was to evaluate Trichoderma sp. regulator tomato plants. isolated from soils grown solid PDA medium for morphological characterization fungus. An experiment analyse interacti...

Protein databases have grown exponentially over the last decade. This exponential growth has made extracting valuable information from these databases increasingly time consuming. This project presents a new method of accelerating a commonly used program for performing similarity searching on protein databases, BLASTP. This project describes the design and implementation of Mercury BLASTP, a cu...