Background: With the extensive volume of information from various and diverse data sources, it is essential to present information in a way that allows for quick understanding and interpretation. This is particularly crucial in health care, where timely insights into a patient's condition can be lifesaving. Holistic visualizations that integrate multiple data variables into a single visual representation can enhance rapid situational awareness and support informed decision-making.
View Article and Find Full Text PDFCustomer relationship management (CRM) is an innovative technology that seeks to improve customer satisfaction, loyalty, and profitability by acquiring, developing, and maintaining effective customer relationships and interactions with stakeholders. Numerous researches on CRM have made significant progress in several areas such as telecommunications, banking, and manufacturing, but research specific to the healthcare environment is very limited. This systematic review aims to categorise, summarise, synthesise, and appraise the research on CRM in the healthcare environment, considering the absence of coherent and comprehensive scholarship of disparate data on CRM.
View Article and Find Full Text PDFIran J Psychiatry Behav Sci
September 2016
Objectives: The present study aimed to recognize bullying behavior in the students in Iran and analyze the perception of school teachers and parents in this regard.
Materials And Methods: Several semi-structured interviews and observations were conducted with four teachers and eight parents of children involved in bully/victim problems and the analysis was interpreted through established comparative evaluation methods.
Results: Iranian teachers and the parents perceived bullying mainly as physical and verbal attacks with little understanding of the psychological factors.
This paper presents a novel, real-time defect detection system, based on a best-fit polynomial interpolation, that inspects the conditions of outer surfaces. The defect detection system is an enhanced feature extraction method that employs this technique to inspect the flatness, waviness, blob, and curvature faults of these surfaces. The proposed method has been performed, tested, and validated on numerous pipes and ceramic tiles.
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