scholarly journals Computer-Aided Clinical Trial Recruitment Based on Domain-Specific Language Translation: A Case Study of Retinopathy of Prematurity

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Yinsheng Zhang ◽  
Guoming Zhang ◽  
Qian Shang
Keyword(s):  
Language Translation ◽  
Data Mapping ◽  
Database Queries ◽  
Healthcare Information Systems ◽  
Domain Specific ◽  
Database Administrator ◽  
Computer Aided ◽  
Object Relational ◽  
Data Source

Reusing the data from healthcare information systems can effectively facilitate clinical trials (CTs). How to select candidate patients eligible for CT recruitment criteria is a central task. Related work either depends on DBA (database administrator) to convert the recruitment criteria to native SQL queries or involves the data mapping between a standard ontology/information model and individual data source schema. This paper proposes an alternative computer-aided CT recruitment paradigm, based on syntax translation between different DSLs (domain-specific languages). In this paradigm, the CT recruitment criteria are first formally represented as production rules. The referenced rule variables are all from the underlying database schema. Then the production rule is translated to an intermediate query-oriented DSL (e.g., LINQ). Finally, the intermediate DSL is directly mapped to native database queries (e.g., SQL) automated by ORM (object-relational mapping).

Database and Knowledge Base Integration – A Data Mapping Method for Arden Syntax Knowledge Modules

1996 ◽  
Vol 35 (04/05) ◽  
pp. 302-308 ◽  
Author(s):  
N. Shahsavar ◽  
H. Åhlfeldt ◽  
O. Wigertz ◽  
B. Johansson
Keyword(s):  
Knowledge Base ◽  
Mapping Method ◽  
Data Driven ◽  
Data Mapping ◽  
Medical Expert ◽  
Database Queries ◽  
Driven Systems ◽  
Database Administrator ◽  
Clinical Databases ◽  
Arden Syntax

Abstract:One of the most important categories of decision-support systems in medicine are data driven systems where the inference engine is linked to a database. It is, therefore, important to find methods that facilitate the implementation of database queries referred to in the knowledge modules. A method is described for linking clinical databases to a knowledge base with Arden Syntax modules. The method is based on a query meta-database including templates for SQL queries which is maintained by a database administrator. During knowledge module authoring the medical expert refers only to a code in the query meta-database; no knowledge is needed about the database model or the naming of attributes and relations. The method uses standard tools, such as C++ and ODBC, which makes it possible to implement the method at many platforms and to link to different clinical databases in a standardized way.

The Translation Problem Types in Translating Indonesia Text to English (A Case Study of Translation Subject of Fifth Semester English Students –UPY)

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Sujatmiko Sujatmiko
Keyword(s):  
Qualitative Method ◽  
English Department ◽  
Problem Types ◽  
Translation Technique ◽  
Data Source ◽  
Word Translation ◽  
Translation Accuracy ◽  
English Students ◽  
Successful Transfer

This research is entitled “The Translation Problem Types in Translating Indonesia textinto English (A Case Study of Translation Subject of Fifth Semester English Department –UPY) . It is about how Indonesia text is translated into English by English students, toidentify the translation problems, and to identify the problematics of translation technique.This research uses qualitative method to analyze the data. Techniques of analyzing datain this research consist of 3 components, they are (1) reducing the data, (2) explaining thedata, and (3) taking a conclusion. Reducing data is a process of selecting, focusing,simplifying and abstracting the data. Explaining the data is a process of organizinginformation and arranging the complete narration. Taking a conclusion is a process ofdrawing conclusion from the data. The data source of this research are Indonesia text andstudent’s translation.After conducting the research, the research find the data that all respondents havesimilar translation problem types in translating Indonesia text into English. The problems arediction, tenses, no equivalence translation; others have problems of adverb, article, andrelative clause. None of respondents apply other translation technique. They only apply wordper word translation technique. The accuracy of transfer level is adequate level. Only onerespondent have almost completely successful transfer level. Other respondents haveadequate accuracy transfer level. By applying the untrue translation technique has an impactto translation accuracy transfer level.This research is expected to open wide opportunities and challenges to academicians,especially those in translation linguistics sphere to deepen their research and study, especiallyin translating Indonesia text to English in order to be a new contribution to the translationfields.

scholarly journals The reasons women choose and stay in a geology major: a qualitative multi-case analysis

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Ron E. Gray ◽  
Alexis T. Riche ◽  
Isabel J. Shinnick-Gordon ◽  
James C. Sample
Keyword(s):  
Role Models ◽  
Critical Incident ◽  
Earth Science ◽  
Time Period ◽  
The Usa ◽  
Data Source ◽  
Introductory Classes ◽  
Iterative Coding ◽  
As Relationship

AbstractDespite earning half of all science and engineering undergraduate degrees between 2007 and 2016 in the USA, women were awarded only 39% of earth science degrees in the same time period. In order to better understand why women are both choosing and staying in geology programs, we conducted a multi-case study of nine current female undergraduate geology majors at a large public university in the USA within a department that is at gender parity among its undergraduate majors. The main data source was audio-recorded critical incident interviews of each participant. Data from the interviews were analyzed through an iterative coding process using codes adapted from previous studies that focused on factors both internal and external to the department. The students said that personal interests, influence by others outside of the department, and introductory classes attracted them to the geology program, but once declared, departmental factors such as relationship with faculty caused them to stay. We also found an emphasis on female role models, especially those teaching introductory courses. We believe this study offers important insights into the ways in which factors leading to recruitment and retention play out in the lived experiences of female geology majors.

scholarly journals A clarified typology of core-periphery structure in networks

2021 ◽  
Vol 7 (12) ◽  
pp. eabc9800
Author(s):  
Ryan J. Gallagher ◽  
Jean-Gabriel Young ◽  
Brooke Foucault Welles
Keyword(s):  
Dense Core ◽  
Block Model ◽  
Hub And Spoke ◽  
Block Modeling ◽  
Domain Specific ◽  
The Core ◽  
Detailed Case ◽  
Rich Diversity ◽  
Modeling Techniques

Core-periphery structure, the arrangement of a network into a dense core and sparse periphery, is a versatile descriptor of various social, biological, and technological networks. In practice, different core-periphery algorithms are often applied interchangeably despite the fact that they can yield inconsistent descriptions of core-periphery structure. For example, two of the most widely used algorithms, the k-cores decomposition and the classic two-block model of Borgatti and Everett, extract fundamentally different structures: The latter partitions a network into a binary hub-and-spoke layout, while the former divides it into a layered hierarchy. We introduce a core-periphery typology to clarify these differences, along with Bayesian stochastic block modeling techniques to classify networks in accordance with this typology. Empirically, we find a rich diversity of core-periphery structure among networks. Through a detailed case study, we demonstrate the importance of acknowledging this diversity and situating networks within the core-periphery typology when conducting domain-specific analyses.

scholarly journals Using Internet Search Queries to Assess Public Awareness of the Healthy Cities Approach: A Case Study in Shenzhen, China

2021 ◽  
Vol 18 (8) ◽  
pp. 4264
Author(s):  
Jun Yang ◽  
Yutong Zhang ◽  
Yixiong Xiao ◽  
Shaoqing Shen ◽  
Mo Su ◽  
...  
Keyword(s):  
Public Awareness ◽  
Healthy Cities ◽  
Internet Search ◽  
Health Concerns ◽  
Search Queries ◽  
The Public ◽  
Health Factors ◽  
Data Source ◽  
The City

Cities around the globe are embracing the Healthy Cities approach to address urban health challenges. Public awareness is vital for successfully deploying this approach but is rarely assessed. In this study, we used internet search queries to evaluate the public awareness of the Healthy Cities approach applied in Shenzhen, China. The overall situation at the city level and the intercity variations were both analyzed. Additionally, we explored the factors that might affect the internet search queries of the Healthy Cities approach. Our results showed that the public awareness of the approach in Shenzhen was low. There was a high intercity heterogeneity in terms of interest in the various components of the Healthy Cities approach. However, we did not find a significant effect of the selected demographic, environmental, and health factors on the search queries. Based on our findings, we recommend that the city raise public awareness of healthy cities and take actions tailored to health concerns in different city zones. Our study showed that internet search queries can be a valuable data source for assessing the public awareness of the Healthy Cities approach.

Building Domain-Specific Environments for Computational Science: a Case Study in Seismic Tomography

1997 ◽  
Vol 11 (3) ◽  
pp. 179-196 ◽  
Author(s):  
Janice E. Cuny ◽  
Robert A. Dunn ◽  
Steven T. Hackstadt ◽  
Christopher W. Harrop ◽  
Harold H. Hersey ◽  
...  
Keyword(s):  
Seismic Tomography ◽  
Computational Science ◽  
Domain Specific

The Role of Constraints and Human Interaction in Evolving MEMS Designs: Microresonator Case Study

2004 ◽  
Author(s):  
Raffi Kamalian ◽  
Alice M. Agogino ◽  
Hideyuki Takagi
Keyword(s):  
Genetic Algorithms ◽  
Geometric Constraints ◽  
Human Interaction ◽  
Design System ◽  
Current State ◽  
Mems Resonator ◽  
Computer Aided ◽  
Generative Methods

In this paper we review the current state of automated MEMS synthesis with a focus on generative methods. We use the design of a MEMS resonator as a case study and explore the role that geometric constraints and human interaction play in a computer-aided MEMS design system based on genetic algorithms.

Analyzing Travel Time Reliability from Sparse Probe Vehicle Data: A Case Study on the Effects of Spatial and Temporal Aggregation

2021 ◽  
pp. 036119812110315
Author(s):  
Markus Steinmaßl ◽  
Stefan Kranzinger ◽  
Karl Rehrl
Keyword(s):  
Travel Time ◽  
Time Of Day ◽  
Temporal Aggregation ◽  
Travel Time Reliability ◽  
Probe Vehicle ◽  
Vehicle Data ◽  
Depth Analysis ◽  
Data Source ◽  
Travel Time Index

Travel time reliability (TTR) indices have gained considerable attention for evaluating the quality of traffic infrastructure. Whereas TTR measures have been widely explored using data from stationary sensors with high penetration rates, there is a lack of research on calculating TTR from mobile sensors such as probe vehicle data (PVD) which is characterized by low penetration rates. PVD is a relevant data source for analyzing non-highway routes, as they are often not sufficiently covered by stationary sensors. The paper presents a methodology for analyzing TTR on (sub-)urban and rural routes with sparse PVD as the only data source that could be used by road authorities or traffic planners. Especially in the case of sparse data, spatial and temporal aggregations could have great impact, which are investigated on two levels: first, the width of time of day (TOD) intervals and second, the length of road segments. The spatial and temporal aggregation effects on travel time index (TTI) as prominent TTR measure are analyzed within an exemplary case study including three different routes. TTI patterns are calculated from data of one year grouped by different days-of-week (DOW) groups and the TOD. The case study shows that using well-chosen temporal and spatial aggregations, even with sparse PVD, an in-depth analysis of traffic patterns is possible.

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