Design, Development and Validation of a Dynamic Fall Prediction System for Excavators

This study aims to develop and test the validity of a module on enhancing students' collaboration, critical thinking (2Cs) and writing skills. To develop the module, the researcher used ADDIE model which incorporates five primary phases, namely Analysis, Design, Development, Implementation and Evaluation. The study used a tryout group which incorporated 20 participants who studied English at The General Foundation Program at a private college in Oman. The study employed a pretest-posttest quasiexperimental design. Paired Samples t-Test was used to compare the mean scores of both tests. Apropos of module validity, a total of 5 experts validated the module. The findings revealed that there is a statistically significant mean difference between the participants' scores in both the pretest and posttest. Further, it was found that the module has good validity and reliability.

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Muffler Design, Development and Validation for Acoustic Advantages on Automotive Vehicles

10.4271/2011-01-2215 ◽

2011 ◽

Author(s):

Shitalkumar Ramesh Shah ◽

Gangadhar GS

Keyword(s):

Design Development ◽

Development And Validation

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Design, Development, and Validation of a Lightweight Nonbackdrivable Robotic Ankle Prosthesis

IEEE/ASME Transactions on Mechatronics ◽

10.1109/tmech.2019.2892609 ◽

2019 ◽

Vol 24 (2) ◽

pp. 471-482 ◽

Cited By ~ 8

Author(s):

Tommaso Lenzi ◽

Marco Cempini ◽

Levi J. Hargrove ◽

Todd A. Kuiken

Keyword(s):

Design Development ◽

Ankle Prosthesis ◽

Development And Validation

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The iOSC3 System: Using Ontologies and SWRL Rules for Intelligent Supervision and Care of Patients with Acute Cardiac Disorders

Computational and Mathematical Methods in Medicine ◽

10.1155/2013/650671 ◽

2013 ◽

Vol 2013 ◽

pp. 1-13 ◽

Cited By ~ 11

Author(s):

Marcos Martínez-Romero ◽

José M. Vázquez-Naya ◽

Javier Pereira ◽

Miguel Pereira ◽

Alejandro Pazos ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Cognitive Skills ◽

Design Development ◽

Cardiac Intensive Care Unit ◽

Cardiac Disorders ◽

Cardiac Intensive Care ◽

Critical Patients ◽

Northwest Region ◽

Development And Validation

Physicians in the Intensive Care Unit (ICU) are specially trained to deal constantly with very large and complex quantities of clinical data and make quick decisions as they face complications. However, the amount of information generated and the way the data are presented may overload the cognitive skills of even experienced professionals and lead to inaccurate or erroneous actions that put patients’ lives at risk. In this paper, we present the design, development, and validation of iOSC3, an ontology-based system for intelligent supervision and treatment of critical patients with acute cardiac disorders. The system analyzes the patient’s condition and provides a recommendation about the treatment that should be administered to achieve the fastest possible recovery. If the recommendation is accepted by the doctor, the system automatically modifies the quantity of drugs that are being delivered to the patient. The knowledge base is constituted by an OWL ontology and a set of SWRL rules that represent the expert’s knowledge. iOSC3 has been developed in collaboration with experts from the Cardiac Intensive Care Unit (CICU) of the Meixoeiro Hospital, one of the most significant hospitals in the northwest region of Spain.

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