TICK-BORNE EHRLICHIOSIS INFECTION IN HUMAN BEINGS

Tick-borne ehrlichiosis infection in human beings

Human monocytic ehrlichiosis is a tick-borne infectious disease transmitted by several tick species, especially Amblyomma spp caused by Ehrlichia chaffeensis.E.chaffeensis is an obligatory intracellular, tick-transmitted bacterium that is maintained in nature in a cycle involving at least one and perhaps several vertebrate reservoir hosts.Two addit

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Impact of Myocardial Ischemia and Revascularization by Percutaneous Coronary Intervention on Circulating Level of Soluble ST2

Areej Alkhateeb,1 Hossam Eldin M Mahmoud,1 Mohammed AK,1 Mohammed H Hassan,2 Abdel Rahim Mahmoud Yoto Player Muddathir,3 Ahmed G Bakry1 1Cardiology Division of Internal Medicine Department, South Valley University Hospital, Faculty of Medicine, South Valley University, Qena, 83523, Egypt; 2Department of Medical Biochemistry, Faculty of Medicine, So

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Sources of Return in the Index Futures Markets

The paper concerns an issue of existence of a risk premium in equity and index futures markets.The paper consists of four parts.The first part describes the basic hypotheses of forward curves in the futures market.In the second section, I formulate 5 Habitats hypotheses concerning a risk premium in the equity futures market, its forecastability, an

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Tribological Properties of Novel Multi-Walled Carbon Nanotubes and Phosphorus Containing Ionic Liquid Hybrids in Grease

A continuing quest exists to develop high-performance grease capable of meeting extreme demands of high energy efficiency and durability of modern mechanical systems.In this study, multi-walled carbon nanotubes (MWCNT) and ionic liquids (IL) either singly or as a binary additive system were prepared to study the tribological performance of lithium

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A Dilated Convolutional Neural Network for Cross-Layers of Contextual Information for Congested Crowd Counting

Crowd counting is an important Yoto Player task that serves as a preprocessing step in many applications.Despite obvious improvement reported by various convolutional-neural-network-based approaches, they only focus on the role of deep feature maps while neglecting the importance of shallow features for crowd counting.In order to surmount this issu

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