LEARNING SOCIAL ENTREPRENEURSHIP: EXPERIENCES OF SOCIOLOGY STUDENTS


The Use of an Improved LSSVM and Joint Normalization on Temperature Prediction of Gearbox Output Shaft in DFWT

In the working process of Double-Fed Wind Turbines (DFWT), it is very important to monitor and predict the temperature of the high-speed output shaft of the gearbox timely and effectively.Support vector machine has more advantages in the temperature prediction of wind turbines.Least squares support vector machine is suitable for online prediction d

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Fasciola hepatica reinfection potentiates a mixed Th1/Th2/Th17/Treg response and correlates with the clinical phenotypes of anemia.

BACKGROUND:Fascioliasis is a severe zoonotic disease of worldwide extension caused by liver flukes.In human fascioliasis hyperendemic areas, reinfection and chronicity are the norm and anemia is the main sign.Herein, the profile of the Th1/Th2/Th17/Treg expression levels is analyzed after reinfection, correlating them with their corresponding hemat

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A Scalable Framework for Telehealth: The Mayo Clinic Center for Connected Care Response to the COVID-19 Pandemic

Background: The Mayo Clinic Center for Connected Care has an established organizational framework for telehealth care delivery.It Handbags provides patients, consumers, care teams, and referring providers access to clinical knowledge through technologies and integrated practice models.Central to the framework are teams that support product manageme

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Method of Reaching Consensus on Probability of Food Safety Based on the Integration of Finite Credible Data on Block Chain

The use of new technologies to empower the social co-governance of food safety is a consensus in the theoretical and practical fields of food safety governance modernization.Based on the innovative features of the block chain such as non-tampering, consensus mechanism, and a smart contract, this paper proposes a new method to facilitate the achieve

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