نتایج جستجو برای: stage cluster sampling technique

تعداد نتایج: 1290714  

طاهره چنگیز, , فریبا طالقانی, , مریم علیزاده, , نیکو یمانی, ,

Background & Aims: Our country needs nurses who are expert in family nursing. Accordingly, we need to determine their professional tasks as a basis for future planning regarding establishment of family nursing discipline in Iran. This study was a need assessment for family nursing curriculum using the viewpoints of nursing experts. Material & Methods: It was a need assessment study using Delphi...

Ahmad Noor Hajinia Ali Seyfzadeh,

Awareness of the citizenship rights and duties is the first prerequisite for asking the right and performing duties and obligations. Members of the temporal community find opportunity to participate to be aware of their own rights, duties and obligations on one hand, and the rights, duties and responsibilities of the existing institutions on the other hand. The main aim of this study is to inve...

1998
Steven N. MacEachern Merlise Clyde Jun S. Liu Jun S. LIU

There are two generations of Gibbs sampling methods for semiparametric models involving the Dirichlet process. The first generation suffered from a severe drawback: the locations of the clusters, or groups of parameters, could essentially become fixed, moving only rarely. Two strategies that have been proposed to create the second generation of Gibbs samplers are integration and appending a sec...

Journal: :journal of research in health sciences 0
mansooreh azizzadeh frozi sakineh mohammadalizadeh zahra ghazanfari pooran afsharzadeh

background: iron deficiency is the most frequent cause of nutrition problems around the world. this investigation performed in order to determine the prevalence of iron deficiency in the last three months of pregnancy in women who referred to the kerman health centers, in 1999. methods: the sample size was estimated 350 based on a pilot study. the sampling technique was cluster random sampling ...

Journal: :Jurnal Ilmiah Mandala Education 2022

The purpose of this study was to determine the correlation between self-confidence and learning motivation elementary school students in cluster I, Bolo District, Bima Regency. This research uses a quantitative approach with correlational method. population were all fourth grade SDN Cluster Regency as many 90 students. probability sampling technique by taking samples random sampling, so that sa...

پایان نامه :دانشگاه آزاد اسلامی واحد علوم پزشکی تهران - دانشکده پزشکی 1390

هدف: این مطالعه به منظور بررسی ارتباط میان علائم بیماران و stage کارسینوم معده در بیماران مراجعه کننده به بیمارستان امیرالمومنین تهران طی سالهای 90-89 انجام شده است. روش مطالعه: در این مطالعه مقطعی، 30 فرد مبتلا به سرطان معده بررسی شدند که افراد از نظر staging بررسی شده و stage آنها ثبت گردید و در نهایت فراوانی علائم بالینی مختلف در stageهای مختلف مورد مقایسه قرار گرفت. یافته ها: 7/6 درصد در ...

Journal: :international journal of advanced biological and biomedical research 2014
fatemeh talebzadeh mohammad talebzadeh maryam abrahimian

objective: the present study aimed to compare mental health of female athlete and non-athlete students in the city of indica. the research methodology was a descriptive survey, which initially described the mental health and then compared it among the students. methods: the statistical population of the study included all high school girls in the academic year of 2012-2013 in the city of indica...

Journal: :Artificial life 2012
Marina Klotsman Ayellet Tal

We provide a biologically motivated technique for modeling and animating bird flocks in flight, which produces plausible and realistic-looking flock animations. While most previous approaches have focused on animating cluster formations, this article introduces a technique for animating flocks that fly in certain patterns, so-called line formations. We distinguish between the behavior of such f...

Cluster analysis is a useful technique in multivariate statistical analysis. Different types of hierarchical cluster analysis and K-means have been used for data analysis in previous studies. However, the K-means algorithm can be improved using some metaheuristics algorithms. In this study, we propose simulated annealing based algorithm for K-means in the clustering analysis which we refer it a...

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