نتایج جستجو برای: superior subordinate relationship

تعداد نتایج: 696661  

2011
Charlotte N. Markey Patrick M. Markey

Wanic and Kulik (2011) discuss research addressing links between romantic relationships and health, with a focus on gender differences in response to relationship conflict among couples residing in the U. S. Their subordination-reactivity hypothesis proposes that women’s subordinate role in relationships renders them more vulnerable to relationship conflict and less likely to reap the health be...

Journal: :bulletin of the iranian mathematical society 0
k. sharma department of mathematics‎, ‎atma ram sanatan dharma college‎, ‎university of delhi‎, ‎delhi 110021‎, ‎india. v. ravichandran department of mathematics‎, ‎university of delhi‎, ‎delhi--110007‎, ‎india.

let $p$ be an analytic function defined on the open unit disc $mathbb{d}$ with $p(0)=1.$ the conditions on $alpha$ and $beta$ are derived for $p(z)$ to be subordinate to $1+4z/3+2z^{2}/3=:varphi_{c}(z)$ when $(1-alpha)p(z)+alpha p^{2}(z)+beta zp'(z)/p(z)$ is subordinate to $e^{z}$. similar problems were investigated for $p(z)$ to lie in a region bounded by lemniscate of bernoulli $|w^{2}-1...

Journal: :Michigan Mathematical Journal 1960

Journal: :The American Mathematical Monthly 2018

Journal: :The Annals of Probability 1978

Journal: :Theology in Scotland 2019

Journal: :Pacific Journal of Mathematics 1972

2014
Daniel F. Michael

This study examines the mediating roles of supportive supervisor communication (SSC) and role ambiguity in the relationships between leader-member exchange (LMX) and employee job attitudes, turnover intentions, and performance. Specifically, role ambiguity and SSC were expected to mediate the positive LMXemployee affective commitment relationship, and the positive relationships between LMX and ...

Journal: :CoRR 2015
Panqu Wang Garrison W. Cottrell

Recent advances in deep learning have led to significant progress in the computer vision field, especially for visual object recognition tasks. The features useful for object classification are learned by feed-forward deep convolutional neural networks (CNNs) automatically, and they are shown to be able to predict and decode neural representations in the ventral visual pathway of humans and mon...

2015
Panqu Wang Garrison W. Cottrell

Recent advances in deep learning have led to significant progress in the computer vision field, especially for visual object recognition tasks. The features useful for object classification are learned by feed-forward deep convolutional neural networks (CNNs) automatically, and they are shown to be able to predict and decode neural representations in the ventral visual pathway of humans and mon...

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