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Discriminating psychogenic nonepileptic seizures (PNES) from epilepsy is challenging, and a reliable and automatic classification remains elusive. In this study, we develop an approach for discriminating between PNES and epilepsy using the common spatial pattern extracted from the brain network topology (SPN). The study reveals that 92% accuracy, 100% sensitivity, and 80% specificity were reached...
Healthcare is becoming more digital and technological, but healthcare environments have not yet become embedded with digital technologies to support the most productive (physical) interaction between medical patients, clinical staff and the physical artifacts that surround and envelop them. This shortcoming is an opportunity for the architecture and robotics communities to interface with each other...
In our study we apply the principal-agent model to study credit contract proposed by banks to motivate third-party logistics firms (TPL) and consider supervision as an important variable. Our results indicate that when supervision is introduced into contract, TPL can be motivated to work more efficiently. In particular, we give bank' efficient supervision set and bank can be better off by keeping...
In order to meet the demand of agricultural materials exchange online for farmers, an agricultural materials exchange platform based on ontology is designed and implemented. A matchmaking algorithm is presented which uses semantic vector space model to determine the match between agricultural materials seekers and advertisers. A matchmaking model is proposed based on OWL. Finally an architecture based...
Analyzed the inadequacy of existing fracturing technology and combined with modern oil drilling technology, it discusses the rock breaking mechanism, range of application and technical features of this technology in this paper based on rock blasting theory. Then, it makes a careful analysis of stress about the surrounding rock when exploded, based on what it derived the dimension calculating formula...
Automatic weather station (AWS) is a novel application of wireless sensor in the field of meteorological observation. The torrential data collected with AWS makes it imposable to control the quality of it in manual way. With the theory of chaos, an observed weather data series of somewhere collected by the means of automatic weather station are studied in this paper. In addition, based on the method...
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