Intuition Of Practitioners Research Articles

Utilizing Machine Learning for Precise Audience Targeting in Data Science and Targeted Advertising

In the current era of technology, big data has become increasingly accurate in understanding individuals' interests and needs. Personalized advertising recommendations have become a reality through the use of deep learning and intelligent algorithms. Whether it is a shopping app suggesting your favorite style of clothes or receiving relevant news feeds after discussing hot pot with friends, these are not coincidences but the result of machine learning. Machine learning has revolutionized advertising by providing outstanding performance. It has replaced the traditional approach that relied on the experience and intuition of practitioners. Powerful data processing and analysis capabilities are used to extract potential associations and patterns from massive amounts of data, providing new possibilities for advertisers and marketers. This includes applications such as idea generation, recommendation optimization, and bid strategy optimization, which have injected new vitality into the industry. The use of machine learning in data science and targeted advertising has yielded impressive results, offering users and advertisers more precise targeting and engaging advertising experiences. This field holds great promise and potential, and will undoubtedly continue to shape the future of the advertising industry.

Histories of Visual Communication Design

In this article, the history of visual communication design provides an area of thematic convergence. The research represented here engages typographic communication, an area of investigation familiar to the journal's readership. Yet its significance extends beyond illuminating the historical context of singular designs or designers. Collectively, the authors in this issue join a broader and sustained interdisciplinary conversation between design history and visual communication design practice. Situating their research relative to this shared context expands its relevance beyond their discrete areas of focus. At its inception, the history of visual communication design relied on the intuition of practitioners and the connoisseurship of collectors; its narrative prioritized aesthetic styles and eminent designers. The first sustained calls to move beyond such a conceptualization emerged in 1983 at Coming of Age: The First Symposium on the History of Graphic Design.

Understanding model behavior using the Loops that Matter method

AbstractThe relationship between structure and behavior is central to system dynamics, but effective tools required to understand that relationship still elude us. The current state of the art in the field of loop dominance analysis relies on either practitioner intuition and experience or complex algorithmic manipulation in the form of eigenvalue analysis or pathway participation metrics. This article presents a new and distinct numeric method based on a different measure, the loop score, to determine the contribution of a loop to a model's behavior at each instant in time. This allows us to discover the origin of model behavior. The method was inspired by observations of the patterns in the changes of the values of variables during simulations and has been tested and refined using empirical evaluation on a variety of models. The method also offers a promising approach to the visualization and aggregation of simulation results.© 2020 The Authors System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society

Can We Take the Guesswork Out of Diversity Practice Selection?

The article focuses on diversity practice selection within businesses. The author states that diversity recommendations, while informed by psychological theory and a limited amount of research, are often shaped by practitioner intuition. A study conducted by researchers at the University of California Berkeley is offered. The results of the study, which include institutional theory, social network analysis, and social psychological theory, are analyzed by the author. Statistics on diversity in the work force since the 1970s are presented.

A Theory of Commodity Tax Reform under Revenue Constraint

Despite the development of the optimal taxation theory , few of the practicing tax economists question the traditional wisdom that making tax rates flat will lead to a more efficient tax system. Practicing tax economists seem to have an intuition that even if the uniform tax structure may not be the most efficient, it may be a close approximation. The present paper survey the literature that provides theoretical under-pinnings for the practitioner's intuition. Also, the paper simplifies the statements and proofs of theorems in literature.

The number and the scope of activity of orthopaedic clinician-scientists in the United States.

Advances in medicine in general and orthopaedic surgery in particular have been largely empirical throughout history. That is, intuition has guided developments through trial and error. Until recently, science has more often explained what was already observed by clinicians rather than created new interventions. Within the last decade or two, however, therapeutic musculoskeletal interventions have been emerging from the laboratory rather than from the intuition of practitioners. Current examples include gene therapy, cyclooxygenase-2 (COX2) inhibitors, growth factors, and the new polyethylenes. As always, traditional interventions become obsolete at some point and are replaced by new treatments. The rapidity and nature of recent scientific developments have provided the potential for an astonishing array of novel advances that will supersede the old treatments, and they suggest that more interventions will come from the laboratory rather than from practitioners. In order to take full advantage of the available and emerging technologies from a wide variety of fields, we will need orthopaedists who understand the capabilities and limitations of the technologies as well as the clinical and biological realities so that the new science can be translated into real benefits for our patients. For the last several decades, the percentage of clinicians who serve as principal investigators for all fields of medical research has substantially decreased, to <20% of the total number of principal investigators 1-7. While we do not have past or current data on the number of orthopaedic clinician-scientists, there is a widespread perception that this number is also diminishing 8,9. This decrease is not entirely unexpected given the radical changes in health-care delivery and reimbursement over the past two decades. Task forces have documented many barriers to the budding clinician-scientist, not the least of which are economic, but some of which also reflect changes in …