Constructing a Novel Simple LEEP Training Model
نویسندگان
چکیده
منابع مشابه
Constructing a Simple Polygonalizations
We consider the methods of construction simple polygons for a set S of n points and applying them for searching the minimal area polygon. In this paper we propose the approximate algorithm, which generates the simple polygonalizations of a fixed set of points and finds the minimal area polygon, in O (n) time and using O(n) memory. Keywords—simple polygon, approximate algorithm, minimal area pol...
متن کاملA Novel and Simple Method for HCV Genotyping
Hepatitis C virus (HCV) is a major global health problem and one of the most common causes of chronic liver diseases. The current study was carried out to investigate the ability of High Resolution Melting (HRM) method in HCV genotyping. 40 HCV-Positive sera with unknown and 12 sera with known HCV genotypes were collected from different clinical laboratories in Tehran as well as Rasht in north ...
متن کاملA simple ex vivo, biologic ERCP training model for sphincterotomy.
The key therapeutic intervention during endoscopic retrograde cholangiopancreatography (ERCP) is sphincterotomy, but lack of training and experience leads to a higher risk of complications [1,2]. Herein, we present a simple, reproducible, easyto-build, ex vivo, ERCP model for the training of sphincterotomy using standard sphincterotomes and a needle knife. The model is based on incorporating on...
متن کاملConstructing Simple Groups for Localizations
A group homomorphism η : A → H is called a localization of A if every homomorphism φ : A→ H can be ‘extended uniquely’ to a homomorphism Φ : H → H in the sense that Φη = φ. This categorical concept, obviously not depending on the notion of groups, extends classical localizations as known for rings and modules. Moreover this setting has interesting applications in homotopy theory, see the introd...
متن کاملPENDISC: A Simple Method for Constructing a Mathematical Model from Time-Series Data of Metabolite Concentrations
The availability of large-scale datasets has led to more effort being made to understand characteristics of metabolic reaction networks. However, because the large-scale data are semi-quantitative, and may contain biological variations and/or analytical errors, it remains a challenge to construct a mathematical model with precise parameters using only these data. The present work proposes a sim...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Graduate Medical Education
سال: 2013
ISSN: 1949-8357,1949-8349
DOI: 10.4300/jgme-d-12-00061.1