scholarly journals A data-driven approach for the discovery of biomarkers associated with thyroid eye disease

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Huihui Zou ◽  
Weiwei Xu ◽  
Ying Wang ◽  
Zhihong Wang
Keyword(s):  
Enrichment Analysis ◽  
Microarray Gene Expression Data ◽  
Thyroid Eye Disease ◽  
Data Driven ◽  
Connected Components ◽  
Eye Disease ◽  
Microarray Gene Expression ◽  
Regulatory Pathways ◽  
Data Driven Approach ◽  
Using Data

Abstract Background Thyroid eye disease (TED) is the most common autoimmune disease and usually occurs in patients with hyperthyroidism. In this disease, eye-related tissue, such as eye muscles, eyelids, tear glands, etc., become inflated, which causes the eyes and eyelids to become red, swollen, and uncomfortable. The pathophysiology of this disease is still poorly known. Aim This study aims to discover potential biomarkers and regulatory pathways of TED which will not only help to diagnose the disease and understand orbital involvement in thyroid dysfunction but also provide an insight for better therapeutics. Methods We applied a data-driven approach by combining gene biomarkers both from published literature and computationally predicted from microarray gene expression data. Further, the DAVID tool is used for Gene Ontology-based enrichment analysis. Results We obtained a total of 22 gene biomarkers, including 18 semi-automatically curated from the literature and 4 predicted using data-driven approaches, involved in the pathogenesis of TED that can be used as potential information for therapeutic targets. Further, we constructed a regulatory pathway of TED biomarkers comprises of 310 connected components, and 1134 interactions using four prominent interaction databases. Conclusion This constructed pathway can be further utilized for disease dynamics and simulation studies.

Modeling the Gas Exchange Processes of a Modern Diesel Engine With an Integrated Physics-Based and Data-Driven Approach

2019 ◽  
Author(s):  
Jorge Pulpeiro Gonzalez ◽  
King Ankobea-Ansah ◽  
Elena Escuder Milian ◽  
Carrie M. Hall
Keyword(s):  
Diesel Engine ◽  
Gas Exchange ◽  
High Efficiency ◽  
Direct Injection ◽  
Data Driven ◽  
Model Framework ◽  
Variable Valve Actuation ◽  
Exchange Processes ◽  
Data Driven Approach ◽  
Using Data

Abstract The gas exchange processes of engines are becoming increasingly complex since modern engines leverage technologies including variable valve actuation, turbochargers, and exhaust gas recirculation. Control of these many devices and the underlying gas flows is essential for high efficiency engine concepts. If these processes are to be controlled and estimated using model-based techniques, accurate models are required. This work explores a model framework that leverages a data-driven model of the turbocharger along with submodels of the intercooler, intake and exhaust manifolds and engine processes to provide cylinder-specific predictions of the pressure and temperatures of the gases across the system. This model is developed and validated using data from a 2.0 liter VW turbocharged, direct-injection diesel engine and shown to provide accurate prediction of critical gas properties.

Using data-driven approach for wind power prediction: A comparative study

2016 ◽  
Vol 118 ◽  
pp. 193-203 ◽  
Author(s):  
Ehsan Taslimi Renani ◽  
Mohamad Fathi Mohamad Elias ◽  
Nasrudin Abd. Rahim
Keyword(s):  
Comparative Study ◽  
Wind Power ◽  
Data Driven ◽  
Power Prediction ◽  
Wind Power Prediction ◽  
Data Driven Approach ◽  
Using Data

A Data Driven Approach to Study the Social and Political Statuses of Urban Communities in Kunming

2020 ◽  
Vol 4 (2) ◽  
pp. 461-481
Author(s):  
Charles Chang
Keyword(s):  
Urban Communities ◽  
Computational Analysis ◽  
Critical Evaluation ◽  
Data Driven ◽  
Accurate Information ◽  
Sufficient Detail ◽  
The Social ◽  
Data Driven Approach ◽  
Using Data ◽  
Political Economic

AbstractThis article presents a data-driven approach to the study of the social and political statuses of urban communities in modern Kunming. Such information is lacking in government maps and documents. Using data from a wide variety of sources, many unconventional, I subject them to critical evaluation and computational analysis to extract information that can be used to produce a land use map of sufficient detail and accuracy to allow scholars to address and even answer questions of a socio-political, economic and, indeed, humanistic nature. My method can also be applied to other Chinese cities and to cities elsewhere that lack accurate information.

Forecast of chemostat dynamics using data-driven approach

2021 ◽  
Author(s):  
Benaissa Dekhici ◽  
Boumediene Benyahiya ◽  
Brahim Cherki
Keyword(s):  
Data Driven ◽  
Data Driven Approach ◽  
Using Data

Dynamics and path tracking of continuum robotic arms using data-driven identification tools

Robotica ◽  
2021 ◽  
pp. 1-27
Author(s):  
Aida Parvaresh ◽  
S. Ali A. Moosavian
Keyword(s):  
Inverse Dynamics ◽  
Computational Cost ◽  
Experimental Tests ◽  
Path Tracking ◽  
Data Driven ◽  
Robotic Arms ◽  
Rod Theory ◽  
Data Driven Approach ◽  
Using Data ◽  
Continuum Robotic

Abstract In this paper, forward/inverse dynamics of a continuum robotic arm is developed using a data-driven approach, which could tackle uncertainties and extreme nonlinearities to obtain reliable solutions. By establishing a direct mapping between the actuator and task spaces, the unnecessary mappings of actuator-to-configuration then configuration-to-task are eliminated, to reduce extra computational cost. The proposed approach is validated through simulation (based on Cosserat rod theory) and experimental tests on RoboArm. Next, path tracking in the presence/absence of obstacles as well as load carrying maneuver are investigated. Finally, the obtained results concerning repeatability, scalability, and disturbance rejection performance of the approach are discussed.

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