نتایج جستجو برای: learning attachment behavior

تعداد نتایج: 1225493  

Journal: :International Journal of Information Science 2012

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تربیت مدرس - دانشکده علوم پزشکی 1389

introduction: diabetes mellitus is an growing national and international public health concern. the number of people affected by diabetes in world by 2030 will be 69% in developing countries. regular physical activity plays a key role in the management of type 2 diabetes melitus, particularly glycemic control. it has been recommended that peoples with type 2 diabetes participate in moderate-int...

Introduction: Training and consulting attachment behavior may promote bonding between mothers and infants. The aim of this study was to determine the effect of consultation in primi-parous mothers on Maternal-Fetal Attachment (MFA) in 2015 in Hamadan city, Iran. Methods: This study was a randomized clinical trial. Subjects were 110 nulliparous women in 32-30 weeks of gestational age. Participa...

Journal: :Comprehensive psychiatry 2015
Jane Kohlhoff Bryanne Barnett Valsamma Eapen

OBJECTIVE This study examined the prevalence and correlates of Adult Separation Anxiety Disorder (ASAD) and Adult Separation Anxiety (ASA) symptoms in a sample of first-time mothers with an unsettled infant during the first postpartum year. METHODS Eighty-three primiparous women admitted to a residential parent-infant program participated in a structured clinical interview for DSM-IV diagnosi...

2002
Brian Mitchell Robert J. Gaizauskas

This paper presents work which extends previous corpus-based work on training Machine Learning Algorithms to perform Prepositional Phrase attachment. Besides recreating others’ experiments to see how algorithms’ performance changes with the number of training examples and using n-fold cross-validation to produce more accurate error rates, we implemented our own vanilla Machine Learning Algorith...

Journal: :Neural networks : the official journal of the International Neural Network Society 2017
Raoul Borges Filipe Borges Ewandson Luiz Lameu A. M. Batista K. C. Iarosz I. L. Caldas Chris G. Antonopoulos M. S. Baptista

We study the capacity of Hodgkin-Huxley neuron in a network to change temporarily or permanently their connections and behavior, the so called spike timing-dependent plasticity (STDP), as a function of their synchronous behavior. We consider STDP of excitatory and inhibitory synapses driven by Hebbian rules. We show that the final state of networks evolved by a STDP depend on the initial networ...

Journal: :iranian red crescent medical journal 0
aliakbar haghdoost research center for modeling in health, kerman university of medical sciences, kerman, ir iran faroukh abazari department of community health, nursing and midwifery kerman, school of razi, kerman university of medical sciences, kerman, ir iran; department of community health, nursing and midwifery kerman, school of razi, kerman university of medical sciences, kerman, ir iran. tel: +98-3413205643, fax: +98-3413205642 abbas abbaszadeh department of medical surgical nursing, shahid beheshti university of medical sciences, tehran, ir iran eshagh dortaj rabori department of epidemiology, school of health sciences, kerman university of medical sciences, kerman, ir iran

background family plays an important role in helping adolescent acquiring skills or strengthening their characters. objectives we aimed to evaluate the influences of family factors, risky and protective, on adolescent health-risk behavior (hrb). patients and methods in this cross-sectional study, students of high schools in kerman, iran at all levels participated, during november 2011 till dece...

Objective: The prevalence of high-risk behaviors is one of the serious health threats that has been considered in recent years. The aim of this study was to investigate the mediation of self-compassion dimensions on attachment styles and high-risk behaviors of students. Method: The present study was a descriptive-correlational study with hierarchical regression method by Baron and Kenny method...

2008
Samarth Swarup Les Gasser

We study the role of the interaction network in a collaborative learning model known as the classification game. This involves a population of agents collaboratively learning to solve a classification task. We have previously shown that interaction while learning allows the agents to converge upon a simpler solution, which in turns guarantees better generalization. This clearly shows the benefi...

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