The era of personalized medicine for cancer therapeutics has taken an important step forward in making accurate prognoses for individual patients with the adoption of high-throughput microarray technology.However, microarray technology in cancer diagnosis or prognosis has been primarily used for the statistical evaluation of patient populations, an
A MIXED-INTEGER PROGRAMMING MODEL FOR THE JOB SCHEDULING PROBLEM IN A PRODUCTION COMPANY
Purpose: In this study, a mixed-integer programming model is developed to minimize the total lateness and total completion time of the jobs in an automotive company.In order to respond rapidly to the continuous customer demand through the production, the work schedule of engineers in the research and development department is considered flexibly.Me
A Proposed Framework to Develop, Describe and Evaluate Peer-Assisted Learning Programs
Mohammad Balilah,1 Mohammad Babgi,2 Walaa Alnemari,3 Ahmad Binjabi,4 Rania Zaini,3 Altaf Abdulkhaliq,5 Alaa Monjed,4 Salwa Aldahlawi,6 Hani Almoallim4 1Department of Medical Education, Rabigh Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia; 2Department of Cardiac Surgery, King Abdullah Medical City, Makkah, Saudi Arabia; 3Depar
Electromiographic Signal Processing Using Embedded Artificial Intelligence: An Adaptive Filtering Approach
In recent times, Artificial Intelligence (AI) has become ubiquitous in technological fields, mainly due to its ability to perform computations in distributed systems or the cloud.Nevertheless, for some applications -as the case of EMG signal processing- it may be highly advisable or even mandatory an on-the-edge processing, i.e., an embedded proces