Articles with "based weight" as a keyword



A Randomized, Controlled, Multicenter Study of Technology‐Based Weight Loss Interventions among Endometrial Cancer Survivors

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Published in 2017 at "Obesity"

DOI: 10.1002/oby.22021

Abstract: The aim of this study was to test the efficacy of technology‐based weight loss interventions for endometrial cancer (EC) survivors with obesity. read more here.

Keywords: technology based; loss interventions; weight loss; cancer survivors ... See more keywords

Effectiveness of a Community‐Based Weight Management Program for Patients Taking Antidepressants and/or Antipsychotics

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Published in 2019 at "Obesity"

DOI: 10.1002/oby.22567

Abstract: This study aimed to compare weight loss (WL) outcomes for patients taking antidepressants and/or antipsychotics with those not taking psychiatric medication. read more here.

Keywords: antidepressants antipsychotics; effectiveness community; patients taking; community based ... See more keywords

Family‐based weight stigma and psychosocial health: A multinational comparison

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Published in 2023 at "Obesity"

DOI: 10.1002/oby.23748

Abstract: Family‐based weight stigma can be expressed as criticism, judgment, teasing, and mistreatment by family members because of an individual's body weight. The current study compared the prevalence and psychosocial correlates of family‐based weight stigma among… read more here.

Keywords: family; weight stigma; stigma psychosocial; family based ... See more keywords
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Development of a spring-based weight system for halo gravity traction for complex pediatric spinal deformity.

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Published in 2020 at "Spine deformity"

DOI: 10.1007/s43390-020-00117-1

Abstract: STUDY DESIGN Description of technique. OBJECTIVES Describes the redesign of free-weight-based halo gravity traction wheelchairs and walkers to a spring-based system. The treatment of severe pediatric spinal deformities is challenging and associated with significant morbidity.… read more here.

Keywords: system; weight; based weight; spring based ... See more keywords
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A kernel-based weight decorrelation for regularizing CNNs

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Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.11.065

Abstract: Abstract Recent years has witnessed the success of convolutional neural networks (CNNs) in many machine learning and pattern recognition applications, especially in image recognition. However, due to the increasing model complexity, the parameter redundancy problem… read more here.

Keywords: cnns; kernel based; decorrelation regularizing; based weight ... See more keywords

Development and validation of a theory of planned behavior-based weight control behavior questionnaire among postmenopausal women with osteoporosis

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Published in 2019 at "Health Care for Women International"

DOI: 10.1080/07399332.2019.1640700

Abstract: Abstract Our aim was to develop a framework-based weight control behavior questionnaire (Weight-CuRB) and test its psychometric properties among a non-probability sample of 240 postmenopausal women with osteoporosis. Appropriate validity, simplicity, functionality and reliability were… read more here.

Keywords: weight; based weight; weight control; women osteoporosis ... See more keywords

Hybrid quantum neural network based on weight remapping and its applications

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Published in 2024 at "Physica Scripta"

DOI: 10.1088/1402-4896/ad9ae1

Abstract: In order to explore the possibility of cross-fertilization between quantum computing and neural networks, and to analyse the effects of multiple weight remapping functions on the model performance, this article proposes two hybrid models based… read more here.

Keywords: based weight; weight remapping; neural network; quantum neural ... See more keywords

Scaling-Based Weight Normalization for Deep Neural Networks

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2018.2890373

Abstract: Recent research works have highlight the invariance or the symmetry that exists in the weight space of a typical neural network and the negative effect of the symmetry on the training neural network due to… read more here.

Keywords: neural network; based weight; scaling based; weight normalization ... See more keywords

eWB: Event-Based Weight Binarization Algorithm for Spiking Neural Networks

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3062405

Abstract: Learning binary weights to minimize the difference between target and actual outputs can be considered as a parameter optimization task within the given constraints, and thus, it belongs to the application domain of the Lagrange… read more here.

Keywords: algorithm spiking; event based; based weight; event ... See more keywords

A 8.81 TFLOPS/W Deep-Reinforcement-Learning Accelerator With Delta-Based Weight Sharing and Block-Mantissa Reconfigurable PE Array

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Published in 2024 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2024.3374725

Abstract: TD3 is one of the most high-performing Deep Reinforcement Learning (DRL) algorithms, providing high training stability and rewards. However, it suffers from low energy efficiency due to high External Memory Access (EMA) and floating point… read more here.

Keywords: block mantissa; based weight; weight sharing; reinforcement learning ... See more keywords

Participant experiences of two successful habit-based weight-loss interventions in Australia: a qualitative study

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Published in 2018 at "BMJ Open"

DOI: 10.1136/bmjopen-2017-020146

Abstract: Objectives Habit-based weight-loss interventions have shown clinically important weight loss and weight-loss maintenance. Understanding why habit-based interventions work is therefore of great value, but there is little qualitative evidence about the experiences of participants in… read more here.

Keywords: based weight; weight loss; loss interventions; habit based ... See more keywords