The widely accepted intuition that the important properties of solids are determined by a few key variables underpins many methods in physics. Though this reductionist paradigm is applicable in many physical problems, its utility can be limited because the intuition for identifying the key variables often does not exist or is difficult to develop. Machine learning algorithms (genetic programmin...

The aim of this systematic review was to illuminate intuition in clinical nursing. Frequently described as a defining characteristic of professional expertise, intuition is gaining acceptance as a legitimate form of knowledge in clinical nursing. A total of 352 abstracts were read and eight quantitative studies included. A thematic analysis was performed to one main theme, two themes, and four ...

During the last decade, the paradigm of compressed sensing has gained significant importance in the signal processing community. While the original idea was to utilize sparsity assumptions to design powerful recovery algorithms of vectors x ∈ R, the concept has been extended to cover many other types of problems. A noteable example is low-rank matrix recovery. Many methods used for recovery rel...

The purpose of this study was to identify teaching styles that complement the learning preferences of undergraduate dental students while enhancing the quality of patient care. A formidable challenge to reform in dental education has been overcoming the resistance by faculty and administration to recommended changes. The organizational structure of dental institutions, with their independent de...

In the last two decades, theme of intuition has increasingly attracted attention academics, including psychologists. The increasing interest psychologists in is because process judgment and decision-making within individuals often occurs outside their conscious thinking. This happens when face uncertain situations, time pressure, complex, ambiguous, even strange problems. Intuition capacity hum...