Results 61 to 70 of about 828,775 (268)

Skin Color, Cultural Capital, and Beauty Products: An Investigation of the Use of Skin Fairness Products in Mumbai, India

open access: yesFrontiers in Public Health, 2018
The use of skin fairness products that frequently contain toxic ingredients is associated with significant adverse health side effects. Due to the high prevalence of use in Asian and African countries, skin fairness product use is recognized as a growing
Hemal Shroff   +2 more
doaj   +1 more source

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

open access: yesArthritis Care &Research, EarlyView.
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg   +26 more
wiley   +1 more source

Fairness in artificial intelligence‐driven multi‐organ image segmentation

open access: yesiRADIOLOGY
Fairness is an emerging consideration when assessing the segmentation performance of machine learning models across various demographic groups. During clinical decision‐making, an unfair segmentation model exhibits risks in that it can pose inappropriate
Qing Li   +8 more
doaj   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Abusive Supervision Climate and Emotional Exhaustion: A Cross-Level Analysis [PDF]

open access: yesYönetim ve Organizasyon Araştırmaları Dergisi, 2021
The aim of this study is to examine the role of abusive supervision climate in the relationship between abusive supervision and employees’ emotional exhaustion.
İlkhan Uğur, Engin Bağış Öztürk
doaj  

Development and Preliminary In Vivo Study of 3D‐Printed Bioactive Glass Scaffolds with Trabecular Architecture

open access: yesAdvanced Engineering Materials, EarlyView.
This study reports the fabrication of trabecular bioactive glass scaffolds (composition “1d”: 46.1SiO2‐28.7CaO‐8.8MgO‐6.2P2O5‐5.7CaF2‐4.5Na2O wt%) through vat photopolymerization and the relevant results from mechanical testing and in vivo implantation procedures in rabbit femora, showing great promise for bone tissue engineering applications.
Dilshat Tulyaganov   +8 more
wiley   +1 more source

Coworker Distributive Fairness Judgments of the Workplace Accomodations of Employees with Disabilities [PDF]

open access: yes, 2001
[Excerpt] I present a model of when and how coworkers judge the distributive fairness of workplace accommodations of employees with disabilities. Fairness judgments are made when accommodations are salient and relevant to coworkers.
Colella, Adrienne
core   +1 more source

Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport

open access: yes, 2019
Increasingly, discrimination by algorithms is perceived as a societal and legal problem. As a response, a number of criteria for implementing algorithmic fairness in machine learning have been developed in the literature.
Hacker, Philipp   +2 more
core   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice   +2 more
wiley   +1 more source

{iFair}: {L}earning Individually Fair Data Representations for Algorithmic Decision Making [PDF]

open access: yes, 2018
People are rated and ranked, towards algorithmic decision making in an increasing number of applications, typically based on machine learning. Research on how to incorporate fairness into such tasks has prevalently pursued the paradigm of group fairness:
Gummadi, K., Lahoti, P., Weikum, G.
core   +1 more source

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