Semantic Interoperability Adheres to Proper Models and Code Systems

2010 ◽  
Vol 49 (02) ◽  
pp. 148-155 ◽  
Author(s):  
B. Blobel ◽  
F. Oemig
Keyword(s):  
Semantic Interoperability ◽  
Basic Information ◽  
Data Types ◽  
Advantages And Disadvantages ◽  
Modeling Approaches ◽  
Assessment Systems ◽  
Score Systems ◽  
Attributes Data

Summary Objectives: Achieving semantic interoperability requires not only the use of communication standards like HL7 with its underlying models and specifications, but also to constrain those models to instances including permitted attributes, data types, values and code systems. Even the application of both strategies may lead to different modeling approaches and therefore incompatible results, however. Methods: This paper analyzes the different ways to create a model exemplified at score and assessment systems. Results: The different approaches have advantages and disadvantages. The presented results allow for transmitting the same basic information facilitating HL7 v2.x and V3 in a way reducing implementation efforts. Conclusions: Establishing a generic approach to communicate the details of score systems driven by an appropriate set of codes is the best solution for implementers.

Information Extraction and Metallogenic Prediction of Qiangduo Area in Tibet Based on Multi-Source Remote Sensing Data

2014 ◽  
Vol 962-965 ◽  
pp. 127-131
Author(s):  
Xin Xing Liu
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Geological Mapping ◽  
Advanced Technology ◽  
Data Types ◽  
Sensing Data ◽  
Advantages And Disadvantages ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Metallogenic Prediction

Remote sensing technology as a kind of new and advanced technology has been playing an important role in geological mapping and prospecting. A single kind of remote sensing data always has both advantages and disadvantages. And with multispectral remote sensing data types increasing, the integrated application of multi-source remote sensing data will be one of the development trend of remote sensing geology. In this paper, comprehensive utilization of multi-source remote sensing data such as ETM+, ASTER, Worldview-II and DEM, lithology and geological structure of Qiangduo area in Tibet were interpreted in different levels and mineralized alteration information also was extracted. Then on the basis of modern metallogenic theory, analyzed the multiple mineralization favorite information, established the remote sensing prediction model, and on the GIS platform, carried out metallogenic prediction of the study area. The field validation shows that the results of the prediction are relatively accurate and remote sensing technology can improve the efficiency of geological work.

ANALYSIS OF THE LEVEL THE SAFETY IN DUPLICATE CITY ROUTES

2015 ◽  
Vol 2 (2) ◽  
pp. 549-554
Author(s):  
Баранов ◽  
P. Baranov ◽  
Горяев ◽  
N. Goryaev
Keyword(s):  
Transport Network ◽  
Basic Information ◽  
Advantages And Disadvantages ◽  
The City

In the article provides basic information, that explaining the main types of competition in the presence of overlapping routes. There are the criteria for evaluating the safety in the presence of duplicate routes in terms of their advantages and disadvantages. The analysis of such situations is on the example of a route section of the transport network of the city of Chelyabinsk. We have the conclusions that ensure the safety at the duplication of routes

scholarly journals Methods for biological data integration: perspectives and challenges

2015 ◽  
Vol 12 (112) ◽  
pp. 20150571 ◽  
Author(s):  
Vladimir Gligorijević ◽  
Nataša Pržulj
Keyword(s):  
Data Integration ◽  
Heterogeneous Data ◽  
Biological Data ◽  
Data Types ◽  
Specific Data ◽  
Advantages And Disadvantages ◽  
Technological Advances ◽  
Biological Data Integration ◽  
Biological Entities ◽  
Further Development

Rapid technological advances have led to the production of different types of biological data and enabled construction of complex networks with various types of interactions between diverse biological entities. Standard network data analysis methods were shown to be limited in dealing with such heterogeneous networked data and consequently, new methods for integrative data analyses have been proposed. The integrative methods can collectively mine multiple types of biological data and produce more holistic, systems-level biological insights. We survey recent methods for collective mining ( integration ) of various types of networked biological data. We compare different state-of-the-art methods for data integration and highlight their advantages and disadvantages in addressing important biological problems. We identify the important computational challenges of these methods and provide a general guideline for which methods are suited for specific biological problems, or specific data types. Moreover, we propose that recent non-negative matrix factorization-based approaches may become the integration methodology of choice, as they are well suited and accurate in dealing with heterogeneous data and have many opportunities for further development.

scholarly journals Modeling Non-Cooperative Water Use in River Basins

2021 ◽  
Vol 13 (15) ◽  
pp. 8269
Author(s):  
Tesfaye Woldeyohanes ◽  
Arnim Kuhn ◽  
Thomas Heckelei ◽  
Lalisa Duguma
Keyword(s):  
Water Use ◽  
Solution Procedure ◽  
Simultaneous Solution ◽  
Modeling Tools ◽  
Advantages And Disadvantages ◽  
Modeling Approaches ◽  
Solution Algorithms ◽  
Water Users ◽  
Trade Offs ◽  
Independent Decision

Conventional water use and management models have mostly emulated purposefully designed water use systems where centralized governance and rule-based cooperation of agents are assumed. However, water use systems, whether actively governed or not, involve multiple, independent decision makers with diverse and often conflicting interests. In the absence of adequate water management institutions to effectively coordinate decision processes on water use, water users’ behaviors are rather likely to be non-cooperative, meaning that actions by individual users generate externalities and lead to sub-optimal water use efficiency. The objective of this review is to evaluate the advantages and disadvantages of recently proposed modeling systems dealing with non-cooperative water use regarding their ability to realistically represent the features of complex hydrological and socioeconomic processes and their tractability in terms of modeling tools and computational efficiency. For that purpose, we conducted a systematic review of 47 studies that address non-cooperative water use in decentralized modeling approaches. Even though such a decentralized approach should aim to model decisions by individual water users in non-cooperative water use, we find that most studies assumed the presence of a coordinating agency or market in their model. It also turns out that most of these models employed a solution procedure that sequentially solved independent economic decisions based on pre-defined conditions and heuristics, while only few modeling approaches offered simultaneous solution algorithms. We argue that this approach cannot adequately capture economic trade-offs in resource allocation, in contrast to models with simultaneous solution procedures.

scholarly journals Estimating phylogenies from genomes: A review of commonly used genomic data in phylogenomics

2021 ◽  
Author(s):  
Javan Carter ◽  
Garth Spellman ◽  
Rebecca Kimball ◽  
Rebecca Safran ◽  
Erik Funk ◽  
...  
Keyword(s):  
Research Question ◽  
Genomic Data ◽  
Genomic Region ◽  
Data Type ◽  
Nucleotide Polymorphisms ◽  
Data Types ◽  
Persistent Problem ◽  
Advantages And Disadvantages ◽  
Anchored Hybrid Enrichment ◽  
Key Aspects

Despite the increasing feasibility of sequencing whole genomes from diverse taxa, a persistent problem in phylogenomics is the selection of appropriate markers or loci for a given taxonomic group or research question. In this review, we aim to streamline the decision-making process for selecting data types used in phylogenomic studies by providing an introduction to commonly used types of genomic data, their characteristics, and their associated uses in phylogenomics. Specifically, we review the uses and features of ultraconserved elements (UCEs; including flanking regions), anchored hybrid enrichment (AHE) loci, conserved non-exonic elements (CNEE), untranslated regions (UTRs), introns, exons, mitochondrial DNA (mtDNA), single nucleotide polymorphisms (SNPs), and anonymous regions (nonspecific regions of the genome that are evenly or randomly distributed across the genome). These various data types differ in their mutation rates, likelihood of neutrality or of being strongly linked to loci under selection, and mode of inheritance, each of which are important considerations in phylogenomic reconstruction. These features give each genomic region or data type important advantages and disadvantages, depending on the biological question, number of taxa, evolutionary timescale, and analytical methods used. We provide a clear and concise outline (Table 1) as a resource to efficiently consider relevant and key aspects of each data type in order. As there are a number of factors to consider when designing phylogenomic studies, this review may serve as a primer when weighing options between multiple potential phylogenomic data types.

scholarly journals Similarity Analyzer for Semantic Interoperability of Electronic Health Records Using Artificial Intelligence (AI)

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Arjmand Naveed
Keyword(s):  
Artificial Intelligence ◽  
Electronic Health Records ◽  
Semantic Interoperability ◽  
Healthcare Sector ◽  
Data Mapping ◽  
Mapping Data ◽  
Data Types ◽  
Health Records ◽  
Different Types ◽  
Electronic Health

The introduction of Electronic Health Records (EHR) has opened possibilities for solving interoperability issues within the healthcare sector. However, even with the introduction of EHRs, healthcare systems like hospitals and pharmacies remain isolated with no sharing of EHRs due to semantic interoperability issues. This paper extends our previous work in which we proposed a framework that dealt with semantic interoperability and security of EHR. The extension is the proposal of a cloud-based similarity analyzer for data structuring, data mapping, data modeling and conflict removal using Word2vec Artificial Intelligence (AI) technique.  Different types of conflicts are removed from data in order to model data into common data types which can be interpreted by different stakeholders.

Comparison of time-based versus state–space stand growth models for tropical hybrid Eucalyptus clonal plantations in Sumatera, Indonesia

2021 ◽  
pp. 1-10
Author(s):  
Joni Waldy ◽  
John A. Kershaw ◽  
Aaron Weiskittel ◽  
Mark J. Ducey
Keyword(s):  
State Space ◽  
Goodness Of Fit ◽  
Dynamic Models ◽  
Growth Models ◽  
Growth Modeling ◽  
Rate Of Change ◽  
State Space Approach ◽  
Advantages And Disadvantages ◽  
Modeling Approaches ◽  
Space Approach

The pulp and paper industry in Indonesia is the tenth largest producer in the world, with Acacia and Eucalyptus as the main genera used for production; however, limited publications exist related to Eucalyptus growth models in Indonesia compared with other regions. Time-based models have been developed in which height, stand density, and basal area are predicted based on initial conditions and age. In contrast, a state–space approach utilizes the rate of change of these three state variables. Previous direct comparisons of these two approaches are generally limited. Consequently, the objective of this study was to compare two stand-level growth modeling approaches for Eucalyptus hybrid species on Sumatera (Sumatra) Island using both time-based and state–space methods. Our results indicate that dynamic models using either time-based or state–space approaches are adequate for predicting stand parameters to rotation age. A modified Bazukis matrix indicated that the behavior of both methods produced reliable predictions that were biologically reasonable in terms of stand development; however, the time-based approach provided better performance than the state–space approach on a variety of equivalence tests and goodness-of-fit statistics. Overall, the analysis highlights the advantages and disadvantages of these two commonly used, yet highly contrasting, stand-level growth modeling approaches, which need further consideration and evaluation.

Cell Lineage Tracing and Cellular Diversity in Humans

2020 ◽  
Vol 21 (1) ◽  
pp. 101-116 ◽  
Author(s):  
Alexej Abyzov ◽  
Flora M. Vaccarino
Keyword(s):  
Methylation Status ◽  
Cell Lineage ◽  
Cell Types ◽  
Lineage Tracing ◽  
Data Types ◽  
Advantages And Disadvantages ◽  
Embryonic And Fetal Development ◽  
Distinct Lineage ◽  
Multiple Cell ◽  
Natural Mutation

Tracing cell lineages is fundamental for understanding the rules governing development in multicellular organisms and delineating complex biological processes involving the differentiation of multiple cell types with distinct lineage hierarchies. In humans, experimental lineage tracing is unethical, and one has to rely on natural-mutation markers that are created within cells as they proliferate and age. Recent studies have demonstrated that it is now possible to trace lineages in normal, noncancerous cells with a variety of data types using natural variations in the nuclear and mitochondrial DNA as well as variations in DNA methylation status. It is also apparent that the scientific community is on the verge of being able to make a comprehensive and detailed cell lineage map of human embryonic and fetal development. In this review, we discuss the advantages and disadvantages of different approaches and markers for lineage tracing. We also describe the general conceptual design for how to derive a lineage map for humans.

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