The indicators system and indicators normalization method for the condition assessment of Transformer is developed and membership function of the indicators is established. The establishment of Expert Weight is decided jointly by subjective weight and objective weight which is based on entropy weight thoughts, while the indicators weight is gained by the weight which is derived from the standar...

This paper proposes a group signature scheme with efficient membership revocation. Though group signature schemes with efficient membership revocation based on a dynamic accumulator were proposed, the previous schemes force a member to change his secret key whenever he makes a signature. Furthermore, for the modification, the member has to obtain a public membership information of O( nN) bits, ...

We describe a novel scalable group membership service designed explicitly for wide area networks. Our membership service is scalable in the number of groups supported, in the number of members in each group, and in the topology each group spans. Our service also supplies the hooks needed to provide clients with full virtual synchrony semantics. Our service attains, on average, a low message ove...

This paper presents emerging Good Practices for Translatability Assessment (TA) of Patient-Reported Outcome (PRO) Measures. The ISOQOL Translation and Cultural Adaptation Special Interest Group (TCA-SIG) undertook the review of several TA approaches, with the collaboration of organizations who are involved in conducting TA, and members of the TCA-SIG. The effort led to agreement by the writing ...

Health care providers face many challenges when providing prenatal care. This article reports on a program called Prenatal Care: the Beginning of a Lifetime (PCBL), to implement standardized prenatal care in central North Carolina. The purpose of this pilot study was to determine if there were differences in patient outcomes between a control group and 3 groups (A, B, and C) of increasing level...

The Mixed-Membership Stochastic Blockmodels (MMSB) is a popular framework for modelling social relationships by fully exploiting each individual node’s participation (or membership) in a social network. Despite its powerful representations, MMSB assumes that the membership indicators of each pair of nodes (i.e., people) are distributed independently. However, such an assumption often does not h...

In the process of decision-making, uncertain information is always challenging to deal with. T-spherical fuzzy set (TSFS) operates vagueness data by analysing three independent functions, namely membership, non-membership, and abstinence function. The TSFS provides us robust scheme with parameter $$q\ge 1$$ handle countless opportunities. Hence, this proves its superiority over existing picture...

Introduction: Peer-assisted learning has been shown to be aneffective teaching and learning method. However, this techniquehas not been proven in Thai medical school. We aimed to comparethe effectiveness of peer-assisted learning and self-study ininterpreting an electrocardiogram in Thai medical students.Methods: This is a prospective, randomized controlled trial,<...

Discriminant analysis is a classification method that can predict the group membership of a newly sampled observation. In discriminant analysis, classification of new observed data has an uncertainty. In this paper, the confidence degree is introduced to determine the confidence of classification of new observed data. Then, a Monte Carlo-based sensitivity analysis is applied to an assessment of...