Proposal of Algorithm for Automated Chromosomal Abnormality Detection

2021 ◽  
pp. 83-86
Author(s):  
Oleksii Pysarchuk ◽  
Yurii Mironov
Keyword(s):  
Chromosomal Abnormality ◽  
Chromosome Abnormalities ◽  
Application Domain ◽  
Proof Of Concept ◽  
Abnormality Detection ◽  
Concept Application ◽  
High Level

The article considers the problem of automatic chromosome abnormalities recognition, using images of chromosomes as an input. This paper’s scope includes overview of application domain and analysis of existing solutions. A high-level algorithm for chromosome abnormalities recognition automation is proposed, and a proof-of-concept application is built on top of the algorithm.

scholarly journals Herbaria Mundi: An image centric approach to manipulation of specimens from multiple collections

2020 ◽  
Vol 4 ◽  
Author(s):  
Roger Hyam
Keyword(s):  
User Interface ◽  
Proof Of Concept ◽  
Virus Spread ◽  
Biodiversity Crisis ◽  
International Image ◽  
Voucher Specimens ◽  
Tropical Areas ◽  
Concept Application ◽  
Extensive Reference ◽  
As If

Addressing the challenges of the Climate Emergency and the Biodiversity Crisis requires us to understand how the world's vegetation is changing. This is not a trivial task,especially in highly diverse tropical areas. Frequently, the only way to characterise vegetation is to make voucher specimens of the plants present and identify them later in the lab. Fortunately there are extensive reference collections carefully curated in herbaria. Unfortunately specimens and expertise are dispersed over hundreds of different herbaria spread across many countries. It would be more efficient if scientists could see and manipulate specimens independently of where they are stored, especially as travel becomes more difficult due to both the need to reduce carbon emissions and virus spread. Herbaria Mundi is an application demonstrating how how this can be achieved using CETAF Specimen IDs and IIIF (International Image Interoperability Framework). The application mimics the way a botanist might work in a physical herbarium by enabling the gathering of specimens into groups and side-by-side comparison of specimens, but differs in that one can search for and manipulate specimens in multiple herbaria as if they were stored in a single collection. Voucher specimens are often not added to herbaria mainly because they do not add enough value to material already in the collections. Herbaria Mundi therefore includes the ability for researchers to upload specimen images to Zenodo and for them to appear in the user interface as if they were in an institutional herbarium. This proof of concept application is being developed as part of Task 4.3 of the Synthesys+ project funded by the European Commission. Two things need to occur to take this concept into production. More herbaria need to adopt the use of CETAF specimen identifiers and the IIIF image API. Botanists need to prioritise which features they would like developed first. More herbaria need to adopt the use of CETAF specimen identifiers and the IIIF image API. Botanists need to prioritise which features they would like developed first. The poster will be a catalyst to discuss how these things can be achieved.

scholarly journals Planning the Design and Execution of Student Performance Assessment in Serious Games

2021 ◽  
Vol 12 (1) ◽  
pp. 172-190
Author(s):  
Rháleff N. R. Oliveira ◽  
Rafaela V. Rocha ◽  
Denise H. Goya
Keyword(s):  
Performance Assessment ◽  
Student Performance ◽  
Serious Games ◽  
Proof Of Concept ◽  
Personalized Feedback ◽  
Student’S Performance ◽  
Good Internal Consistency ◽  
Learning Measurement ◽  
High Level

Serious Games (SGs) are used to support knowledge acquisition and skill development. For this, there is a need to measure the results achieved (both during and after students play) to ensure the game effectiveness. In this context, the aim is to develop and evaluate the AvaliaJS, a conceptual model to structure, guide and support the planning of the design and execution of the student's performance assessment in SGs. AvaliaJS has two artifacts: a canvas model, for high-level planning, and an assessment project document, for more detailed specifications of the canvas. To analyze and exemplify the use of the model, the artifacts were applied to three ready-made games as a proof of concept. In addition, the quality of AvaliaJS was evaluated by experts in SGs development and assessment using a questionnaire. The results of experts' answers confirm a good internal consistency (Cronbach's alpha α = 0.87) which indicates that AvaliaJS is correct, authentic, consistent, clear, unambiguous and flexible. However, the model will need to be validated during the process of creating a new game to ensure its usability and efficiency. In general, AvaliaJS can be used to support the team in the planning, documentation and development of artifacts and data collection in SGs, as well as in the execution of the assessment, learning measurement and constant and personalized feedback for students.

scholarly journals Development of an IoT System for Environmental Monitoring: Software

2021 ◽  
Author(s):  
Benjamin Secker
Keyword(s):  
Environmental Monitoring ◽  
Low Cost ◽  
Proof Of Concept ◽  
Embedded Devices ◽  
Data Loggers ◽  
Environmental Monitoring System ◽  
Use Of The Internet ◽  
High Level ◽  
Monitoring Software ◽  
The Internet Of Things

Use of the Internet of Things (IoT) is poised to be the next big advancement in environmental monitoring. We present the high-level software side of a proof-of-concept that demonstrates an end-to-end environmental monitoring system,<br><div>replacing Greater Wellington Regional Council’s expensive data loggers with low-cost, IoT centric embedded devices, and it’s supporting cloud platform. The proof-of-concept includes a Micropython-based software stack running on an ESP32 microcontroller. The device software includes a built-in webserver that hosts a responsive Web App for configuration of the device. Telemetry data is sent over Vodafone’s NB-IoT network and stored in Azure IoT Central, where it can be visualised and exported.</div><br>While future development is required for a production-ready system, the proof-of-concept justifies the use of modern IoT technologies for environmental monitoring. The open source nature of the project means that the knowledge gained can be re-used and modified to suit the use-cases for other organisations.

A Distributed and Scalable Solution for Applying Semantic Techniques to Big Data

Big Data ◽  
2016 ◽  
pp. 1091-1109 ◽  
Author(s):  
Alba Amato ◽  
Salvatore Venticinque ◽  
Beniamino Di Martino
Keyword(s):  
Big Data ◽  
Cultural Heritage ◽  
Software Architecture ◽  
Application Domain ◽  
Proof Of Concept ◽  
Functional Requirements ◽  
Original Formulation ◽  
Digital Revolution ◽  
Big Data Technologies ◽  
Semantic Techniques

The digital revolution changes the way culture and places could be lived. It allows users to interact with the environment creating an immense availability of data, which can be used to better understand the behavior of visitors, as well as to learn about their thoughts on what the visit creates excitement or disappointment. In this context, Big Data becomes immensely important, making possible to turn this amount of data in information, knowledge, and, ultimately, wisdom. This paper aims at modeling and designing a scalable solution that integrates semantic techniques with Cloud and Big Data technologies to deliver context aware services in the application domain of the cultural heritage. The authors started from a baseline framework that originally was not conceived to scale when huge workloads, related to big data, must be processed. They provide an original formulation of the problem and an original software architecture that fulfills both functional and not-functional requirements. The authors present the technological stack and the implementation of a proof of concept.

A Visual Programming Approach for Co-designed Robots

Robotica ◽  
2020 ◽  
pp. 1-24
Author(s):  
Andrés S. Vázquez ◽  
Tomás Calvo ◽  
Raúl Fernández ◽  
Francisco Ramos
Keyword(s):  
Intelligent System ◽  
Visual Programming ◽  
Programming Approach ◽  
Proof Of Concept ◽  
Robot Operating System ◽  
Programming Framework ◽  
Ieee Standard ◽  
High Level ◽  
Visual Programming Language ◽  
Robot Configurations

SUMMARY This paper proposes an approach for the high-level programming of co-designed robots that reduces programming complexity. Particularly, the work presented focuses on the programming framework of an intelligent system, based on the IEEE Standard Ontologies for Robotics and Automation, which allows users the automatic design of robots and the automatic implementation of controllers in the Robot Operating System (ROS). In our approach, the co-designed robot functionalities are automatically translated into visual programming blocks allowing non-expert users an easy robot programming by means of a visual programming language. Several robot configurations and three case studies are provided as a proof of concept. The validation, in terms of usability, of the framework has been carried out with inexperienced users showing promising results.

scholarly journals Template-Assisted Electrochemical Synthesis of CdSe Quantum Dots—Polypyrrole Composite Nanorods

2020 ◽  
Vol 10 (17) ◽  
pp. 5966
Author(s):  
Won-Seok Kang ◽  
Taegon Oh ◽  
Gwang-Hyeon Nam ◽  
Hyo-Sop Kim ◽  
Ki-Suk Kim ◽  
...  
Keyword(s):  
Simple Procedure ◽  
Hybrid Structure ◽  
Proof Of Concept ◽  
Interface Area ◽  
Anodic Aluminum ◽  
Enhanced Photoluminescence ◽  
Polypyrrole Composite ◽  
High Level ◽  
Oxide Membranes ◽  
Composite Nanorods

Luminescent nanoparticles have reached a high level of maturity in materials and spectral tunability for optics and optoelectronics. However, the lack of facile methodology for heterojunction formation of the nanoparticles provides many challenges for scalability. In this paper we demonstrate a simple procedure to synthesize a nanoparticle-embedded polymer nanorod hybrid structure via a template-based electrochemical method using anodic aluminum oxide membranes. This method enables the formation of interactive nanostructures wherein the interface area between the two components is maximized. As a proof of concept, semiconducting CdSe nanoparticles were embedded in polypyrrole nanorods with dimensions that can be finely tuned. We observed enhanced photoluminescence of the hybrid structures compared with bare polypyrrole nanorods.

THE COMPARISON OF THREE METHODS FOR CHROMOSOMAL ABNORMALITY DETECTION

2006 ◽  
Vol 04 (06) ◽  
pp. 1217-1226 ◽  
Author(s):  
TIMUR S. SHAKUOV
Keyword(s):  
Clinical Practice ◽  
Chromosomal Abnormality ◽  
Array Cgh ◽  
Diagnostic Techniques ◽  
Comparative Genome Hybridization ◽  
Abnormality Detection ◽  
Edge Detector ◽  
Biochemical Method ◽  
Processing Data ◽  
In The Beginning

The connection between certain human diseases and abnormal changes in chromosomes was discovered nearly 50 years ago. However, the detection of these abnormalities turned out to be a difficult task because both microscopic technologies and biochemical diagnostic techniques have their limitations. In the beginning of the century, a method for multiple comparative genome hybridization (array CGH) was introduced and is now been widely used in clinical practice for biochemical diagnostics. The application of array CGH greatly reduces the statistical errors, but not the noise in the results. As such, the time and material expenses necessary for reliable localization of abnormal parts of chromosomes by the means of biochemical techniques, is not significantly reduced. Algorithms for localization of contrast parts in noisy sequences can improve the situation. We implemented and tested two algorithms for this purpose. The first is the "edge detector" algorithm introduced by J. Canny. The second one is the DotHelix algorithm developed by A. M. Leontovich, L. I. Brodsky, and A. E. Gorbalenya. In this paper we compare the two implementations against biochemical method in processing data produced by array CGH.

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