نتایج جستجو برای: مدلیابی ساختاری pls

تعداد نتایج: 42580  

ژورنال: :مدیریت فرهنگی 2012
طهمورث آقاجانی غلامرضا عزیزی بهزاد شوقی آرش رضازاده عامر دهقان نجم آبادی

مقدمه و هدف پژوهش: این پژوهش با هدف بررسی تأثیر سبک رهبری بر فرهنگ سازمانی در شرکت آلومینیوم پارس در شهر صنعتی کاوه در سال 1391 صورت گرفت. روش پژوهش: جامعه آماری تحقیق شامل 650 نفر از کارکنان بود که از این میان با استفاده از جدول مورگان و روش نمونه گیری تصادفی 242 نفر به عنوان حجم نمونه در نظر گرفته شد. روش جمع­آوری داده­ها بر اساس پرسشنامه انجام گرفت. یافته ها پژوهش: تجزیه و تحلیل اطلاعات بد...

2015
Minyan Wei Xiucai Guo Liuxiao Tu Qi Zou Qi Li Chenyi Tang Bao Chen Yuehong Xu Chuanbin Wu

Lactoferrin (Lf) is a potential-targeting ligand for hepatocellular carcinoma (HCC) cells because of its specific binding with asialoglycoprotein receptor (ASGPR). In this present work, a doxorubicin (DOX)-loaded, Lf-modified, polyethylene glycol (PEG)ylated liposome (Lf-PLS) system was developed, and its targeting effect and antitumor efficacy to HCC was also explored. The DOX-loaded Lf-PLS sy...

Journal: :Journal of dairy science 2012
C Colombani P Croiseau S Fritz F Guillaume A Legarra V Ducrocq C Robert-Granié

Genomic selection involves computing a prediction equation from the estimated effects of a large number of DNA markers based on a limited number of genotyped animals with phenotypes. The number of observations is much smaller than the number of independent variables, and the challenge is to find methods that perform well in this context. Partial least squares regression (PLS) and sparse PLS wer...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده روانشناسی و علوم تربیتی 1392

پژوهش حاضر به هدف بررسی فرض برقراری مدل نظری اصول برنامهریزی درسی که منجر به ایجاد حالت فلو (لذت و شادی) در یادگیری میشود، طراحی شد. مدلی که ساختار اصلی آن را نظریه میهالی سیکزنت میهالی درباره "تجربه فلو" تشکیل میدهد.

2012
Giorgio Russolillo

In this paper I review covariance-based Partial Least Squares (PLS) methods, focusing on common features of their respective algorithms and optimization criteria. I then show how these algorithms can be adjusted for use as optimal scaling tools. Three new PLS-type algorithms are proposed for the analysis of one, two or several blocks of variables: the NonMetric NIPALS, the Non-Metric PLS Regres...

2010
Balaji Vasan Srinivasan William Robson Schwartz Ramani Duraiswami Larry Davis

Partial least squares (PLS) methods have recently been used for many pattern recognition problems in computer vision. Here, PLS is primarily used as a supervised dimensionality reduction tool to obtain effective feature combinations for better learning. However, application of PLS to large datasets is hindered by its higher computational cost. We propose an approach to accelerate the classical ...

2004
Afshin R. Khorrami Vincenzo Esposito

PLS Generalised Linear Regression: foundations and recent advances with variable selection and validation procedures Vincenzo Esposito Vinzi Universita degli Studi di Napoli; [email protected] PLS (Partial Least Squares) univariate regression (PLS1) is a model linking a numerical dependent variable to a set of numerical (or dummy) explanatory variables especially feasible in situa...

2014
Sigrun Eick Magdalena Puklo Karina Adamowicz Tomasz Kantyka Pieter Hiemstra Henning Stennicke Arndt Guentsch Beate Schacher Peter Eickholz Jan Potempa

BACKGROUND Loss-of-function point mutations in the cathepsin C gene are the underlying genetic event in patients with Papillon-Lefèvre syndrome (PLS). PLS neutrophils lack serine protease activity essential for cathelicidin LL-37 generation from hCAP18 precursor. AIM We hypothesized that a local deficiency of LL-37 in the infected periodontium is mainly responsible for one of the clinical hal...

Journal: :Analytical sciences : the international journal of the Japan Society for Analytical Chemistry 2005
Da Chen Xueguang Shao Bin Hu Qingde Su

Near-infrared (NIR) spectrometry will present a more promising tool for quantitative measurement if the robustness and predictive ability of the partial least square (PLS) model are improved. In order to achieve the purpose, we present a new algorithm for simultaneous wavelength selection and outlier detection; at the same time, the problems of background and noise in multivariate calibration a...

2007
D. Roland Thomas Marzena Cedzynski

Partial least squares (PLS) is sometimes used as an alternative to covariance-based structural equation modeling (SEM). This paper briefly reviews currently available SEM techniques, and provides a critique of the perceived advantages of PLS over covariance-based SEM as commonly cited by PLS users. Specific attention is drawn to the primary disadvantage of PLS, namely the lack of consistency of...

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