‘Rapid-Learning System’ Brings New Knowledge to the Clinic in Real Time

2010 ◽  
Vol 32 (20) ◽  
pp. 37-38
Author(s):  
Daniel M. Keller
Keyword(s):  
Real Time ◽  
Learning System ◽  
Rapid Learning ◽  
New Knowledge

Real Time Experience of Participants in Higher Education During The Coronavirus: A Case Study

2021 ◽  
Vol 36 (1) ◽  
pp. 51-70
Author(s):  
Randa Khair Abbas ◽  
Eman Abu Hanna Nahhas ◽  
Khawla Zoabi ◽  
Ibtisam Marey-Sarwan ◽  
Hanadi Abu Ahmad
Keyword(s):  
Higher Education ◽  
Real Time ◽  
Administrative Staff ◽  
Financial Security ◽  
Time Experience ◽  
New Learning ◽  
New Knowledge ◽  
Self Discovery ◽  
Depth Interviews

This case study explored the real-time experience of participants in the Arab Academic College for Education in Haifa, Israel, during the coronavirus pandemic. Twenty in-depth interviews were conducted with management, administrative staff, faculty and students. Participants' stories reveal that feelings of stress and isolation gave way to new learning and self-discovery, a new relationship with time, and the creation of new knowledge on the personal and institutional levels. Strong, coordinated leadership, combined with legal and financial security, facilitated the transition to online learning and allowed the college to emerge from the crisis successfully. Implications are drawn for dealing with future crises.

Travelling and Steering Path Adjustment of Blueberry Harvesters

2011 ◽  
Vol 486 ◽  
pp. 25-28
Author(s):  
Zhi Peng Li ◽  
Dong Sheng Li
Keyword(s):  
Control System ◽  
Path Planning ◽  
Real Time ◽  
System Development ◽  
Path Selection ◽  
Ant Colony ◽  
New Knowledge ◽  
Knowledge Support ◽  
Virtual Modeling ◽  
Adjustment System

A picking and steering adjustment system for blueberry harvesters has been developed. In this paper, the main hardware and working principles of the system is introduced first, then the application of an ant colony simplification algorithm in the system development is presented. Information of virtual modeling the blueberry plant images and fruit distributions is obtained through the control system which is used as input for the ant colony simplification algorithm calculation. Then results are translated into real-time travelling path planning instructions for the blueberry harvester. The research provided technological and new knowledge support for future investigations into intelligent travelling path selection, thus playing an important role in mechanization and intelligent harvesting processes for blueberry harvesters.

Real-Time Feedback Learning System Based on Programming Logs Analysis

2021 ◽  
Vol 22 (4) ◽  
pp. 779-787
Author(s):  
Sheng-Bo Huang Sheng-Bo Huang ◽  
Chin-Feng Lai Sheng-Bo Huang ◽  
Yu-Lin Jeng Chin-Feng Lai
Keyword(s):  
Real Time ◽  
Learning System ◽  
Feedback Learning

Real-Time Marine Diesel Engine Simulation for Fault Diagnosis

2002 ◽  
Vol 39 (01) ◽  
pp. 21-28
Author(s):  
Kevin Logan ◽  
Bahadir Inozu ◽  
Philippe Roy ◽  
Jean-Francçois Hetet ◽  
Pascal Chesse ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Real Time ◽  
Learning System ◽  
Cerebellar Model Articulation Controller ◽  
Diagnostic Systems ◽  
Efficient Manner ◽  
Engine Simulation ◽  
Intelligent Software ◽  
Marine Diesel ◽  
Cost Efficient

Automated monitoring systems are now the standard on most large vessels; however, few are equipped with diagnostic systems. This paper presents new developments in the area of fault diagnosis based on intelligent software agents. The research objective was to design an agent capable of continuous real-time machine learning by using an artificial neural network known as the cerebellar model articulation controller (CMAC). An engine simulator that can model both normal and faulty engine operations was used to develop the learning system controller in a flexible and cost-efficient manner. This paper provides a description of the selected CMAC, a brief overview of the real-time engine simulator and its integration with the learning system as well as a few results.

scholarly journals Patient Perspectives on the Ethical Implementation of a Rapid Learning System for Oncology Care

2017 ◽  
Vol 13 (3) ◽  
pp. e163-e175 ◽  
Author(s):  
Rochelle D. Jones ◽  
Aaron N. Sabolch ◽  
Erin Aakhus ◽  
Rebecca A. Spence ◽  
Angela R. Bradbury ◽  
...  
Keyword(s):  
Ethical Issues ◽  
Learning System ◽  
Patient Perspectives ◽  
Attitudes And Beliefs ◽  
Sensitive Data ◽  
Rapid Learning ◽  
Patients With Cancer ◽  
Interview Guide ◽  
Oncology Care ◽  
Virtuous Cycle

Introduction: A rapid learning system (RLS) of health care harnesses data generated from routine patient care to create a virtuous cycle of data collection and analysis for quality improvement and research. The success of such systems depends on understanding patient perspectives regarding the ethical issues that arise from the ongoing implementation of this transformative concept. Methods: An interview guide was designed to evaluate patient perspectives to inform the ethical implementation of an oncology RLS. A purposively selected, diverse sample of 32 patients with cancer was recruited from two institutions to participate in semistructured, in-depth interviews for formal qualitative analysis. Results: The extent to which respondents expressed discomfort with more permissive system features (less formal notification/consent, broader uses/users, inclusion of sensitive data) reflected their trust, which in turn seemed to vary by sociodemographic features. It was also influenced by their familiarity with technology and their attitudes and beliefs regarding privacy and the use of electronic medical records more generally. Distrust of insurers and the pharmaceutical industry led subjects to desire greater oversight and restriction of these potential users of the system. Subjects were most comfortable when doctors were the primary users, engaged patients directly in the notification and consent discussion, and oversaw the system. Conclusion: Those actively developing RLSs should recognize the critical importance of trust and the key role that doctors will need to play in order for such systems to be successful and to ensure that their implementation is ethically palatable to the patients whose data are being included.

scholarly journals Medial prefrontal cortex is a crucial node of a rapid learning system that retrieves recent and remote memories

2013 ◽  
Vol 103 ◽  
pp. 19-25 ◽  
Author(s):  
Carolina Gonzalez ◽  
Cecilia Kramar ◽  
Fernando Garagoli ◽  
Janine I. Rossato ◽  
Noelia Weisstaub ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Medial Prefrontal Cortex ◽  
Learning System ◽  
Rapid Learning
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