How Much Are We Willing

How Much Can We Save the Cost from Shifting from Single - Test Strip to Multiple - Test Strip in Point of Care Testing Analysis for Common Clinical Chemistry Parameters ?

How Much Bone Cement Is Utilized for Component Fixation in Primary Cemented Total Knee Arthroplasty?

Dear Editor, We read with great interest the timely study by Satish et al., How Much Bone Cement Is Utilized for Component Fixation in Primary Cemented Total Knee Arthroplasty? (1). We applaud the authors, yet we hope they can clarify some points to make this study more applicable to a wider population.

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Who is a really successful manager? A manager who spends less money, or the one who earns more? A manager who can survive for a longer period of time, or an administrator who expands his organization, and opens up new branches? Which one is the most successful? The article tries to answer these questions and provides, some simple guidlines for the managers in every domain of management who wan...

Handicrafts, Encountering Modern Technology

This article aimes to emphasize certain points concerning traditional art , and to put forward a question. As the term” Traditional art” is rather ambiguous, first we try to clarify it. To do so, we propose an approach somehow different from one generally admitted. Thereby, we discuss the reasons why it is not so easy to give a definition of traditional art, islamic art in particular, specially...

Estimation of Climate Zone Effects on Iranian Temperature, Humidity, and Precipitation using Functional Analysis of Covariance

Functional Data Analysis (FDA) has recently made considerable progress because of easier access to the data that are essentially in the form of curves. Although functional modeling of Iranian precipitation based on temperature or humidity was done before, here we use functional analysis of variance and covariance to analyze the weather data collected randomly from Iranian weather stations in 20...

Debt Collection Industry: Machine Learning Approach

Businesses are increasingly interested in how big data, artificial intelligence, machine learning, and predictive analytics can be used to increase revenue, lower costs, and improve their business processes. In this paper, we describe how we have developed a data-driven machine learning method to optimize the collection process for a debt collection agency. Precisely speaking, we create a frame...