13 research outputs found
Multi-Module G2P Converter for Persian Focusing on Relations between Words
In this paper, we investigate the application of end-to-end and multi-module
frameworks for G2P conversion for the Persian language. The results demonstrate
that our proposed multi-module G2P system outperforms our end-to-end systems in
terms of accuracy and speed. The system consists of a pronunciation dictionary
as our look-up table, along with separate models to handle homographs, OOVs and
ezafe in Persian created using GRU and Transformer architectures. The system is
sequence-level rather than word-level, which allows it to effectively capture
the unwritten relations between words (cross-word information) necessary for
homograph disambiguation and ezafe recognition without the need for any
pre-processing. After evaluation, our system achieved a 94.48% word-level
accuracy, outperforming the previous G2P systems for Persian.Comment: 10 pages, 4 figure
Global variations in diabetes mellitus based on fasting glucose and haemogloblin A1c
Fasting plasma glucose (FPG) and haemoglobin A1c (HbA1c) are both used to diagnose
diabetes, but may identify different people as having diabetes. We used data from 117
population-based studies and quantified, in different world regions, the prevalence of
diagnosed diabetes, and whether those who were previously undiagnosed and detected
as having diabetes in survey screening had elevated FPG, HbA1c, or both. We developed
prediction equations for estimating the probability that a person without previously
diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa.
The age-standardised proportion of diabetes that was previously undiagnosed, and
detected in survey screening, ranged from 30% in the high-income western region to 66%
in south Asia. Among those with screen-detected diabetes with either test, the agestandardised
proportion who had elevated levels of both FPG and HbA1c was 29-39%
across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and
middle-income regions, isolated elevated HbA1c more common than isolated elevated
FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and
underestimate diabetes prevalence. Our prediction equations help allocate finite
resources for measuring HbA1c to reduce the global gap in diabetes diagnosis and
surveillance.peer-reviewe
C-Blondel: An Efficient Louvain-Based Dynamic Community Detection Algorithm
One of the most interesting topics in the scope of social network analysis is dynamic community detection, keeping track of communities' evolutions in a dynamic network. This article introduces a new Louvain-based dynamic community detection algorithm relied on the derived knowledge of the previous steps of the network evolution. The algorithm builds a compressed graph, where its supernodes represent the detected communities of the previous step and its superedges show the edges among the supernodes. The algorithm not only constructs the compressed graph with low computational complexity but also detects the communities through the integration of the Louvain algorithm into the graph. The efficiency of the proposed algorithms is widely investigated in this article. By doing so, several evaluations have been performed over three standard real-world data sets, namely Enron Email, Cit-HepTh, and Facebook data sets. The obtained results indicate the superiority of the proposed algorithm with respect to the execution time as an efficiency metric. Likewise, the results show the modularity of the proposed algorithm as another effectiveness metric compared with the other well-known related algorithms
Designing a Valid & Reliable Tool for Assessing the Occupational Therapist\'s Clinical Competency
Objective: The aim of study was to design a valid and reliable tool for assessing the occupational therapists’ clinical competency.
Materials & Methods: It was a tool-making study. Many clinical competency statements were extracted from evidences and with two expert-panels helped to emerge a questionnaire with sixty-six statements in seven categories. Face and content validity were confirmed by Lawshe method. Reliability was confirmed by pilot study, test-retest and internal consistency.
Results: Occupational therapists’ clinical competency assessment tool was made with 54 questions in seven categories (critical thinking, practice process, effective communication, professional responsibilities, management of practice environment, practice knowledge, engage in professional development). Face and content validity confirmed by 15 experts CVR=0.84. Reliability (stability) was approved by pilot study, test-retest and Pierson correlation coefficient 0.995 and Cronbach’s alpha 0.973 confirmed internal consistency.
Conclusion: Appropriate tool to assess the occupational therapists’ clinical competency was made with 54 statements in seven categories. Its validity was approved by Lawshe method and reliability was approved by pilot study in 30 people