Results 81 to 90 of about 941,916 (317)

Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial

Arthritis Care &Research, Accepted Article.
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham, Thea Senger‐Carpenter, Jocelyn Zuckerman, Michelle Adler, Mallet R. Reid, Ashley Danguecan, Luana Flores Pereira, Sarah I. Mossad, Samantha L. Ely, Khalid Abulaban, Elizabeth A. Kessler, Natalie Rosenwasser, Tamar B. Rubinstein, Ekemini A. Ogbu, Emily A. Smitherman, Alaina Miller, Taylor Abounader, Elizabeth Ross, Livie Timmerman, Dhriti Sharma, Jennifer N. Stinson, Stacy Allen, Kabita Nanda, Tala El Tal, Deborah M. Levy, Linda T. Hiraki, Hermine I. Brunner, Mathew Reeves, Steven J. Pierce, Andrea Knight   +29 more
wiley   +1 more source

Testing weight-based conditional discrimination in Goffin's cockatoos, Cacatua goffiniana.

PLoS ONE
Discrimination learning tasks are a method for investigating species' perception of and associative learning with a particular stimulus. Goffin's cockatoos previously required surprisingly few trials to differentiate objects based on weight alone in a ...
Poppy J Lambert, Antonia Rippel-Rachle, Alice M I Auersperg   +2 more
doaj   +1 more source

Semi-supervised Multi-sensor Classification via Consensus-based Multi-View Maximum Entropy Discrimination

, 2015
In this paper, we consider multi-sensor classification when there is a large number of unlabeled samples. The problem is formulated under the multi-view learning framework and a Consensus-based Multi-View Maximum Entropy Discrimination (CMV-MED ...
Hero III, Alfred O., Nasrabadi, Nasser M., Xie, Tianpei   +2 more
core   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Rights and responsibilities: Fair treatment for adults with learning disabilities [PDF]

, 2008
This leaflet discusses fair treatment for adults with learning disabilities. It set out to see if the Disability Discrimination Act (1995) had helped service providers to treat people with learning disabilities ...
Lerpiniere, Jennifer, Stalker, Kirsten
core  

Photoswitchable Conductive Metal–Organic Frameworks

Advanced Functional Materials, EarlyView.
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu, Mersad Mostaghimi, Abhinav Chandresh, Saibal Jana, Wolfgang Wenzel, Lars Heinke   +5 more
wiley   +1 more source

Strains and stressors: an analysis of touchscreen learning in genetically diverse mouse strains.

PLoS ONE, 2014
Touchscreen-based systems are growing in popularity as a tractable, translational approach for studying learning and cognition in rodents. However, while mouse strains are well known to differ in learning across various settings, performance variation ...
Carolyn Graybeal, Munisa Bachu, Khyobeni Mozhui, Lisa M Saksida, Timothy J Bussey, Erica Sagalyn, Robert W Williams, Andrew Holmes   +7 more
doaj   +1 more source

State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers

, 2018
Machine learning is becoming an ever present part in our lives as many decisions, e.g. to lend a credit, are no longer made by humans but by machine learning algorithms. However those decisions are often unfair and discriminating individuals belonging to
Baumann, Elias, Rumberger, Josef Lorenz
core  

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

The Origins of Perceived Discrimination in e-Learning in Nursing Students: A Qualitative Study

SAGE Open Nursing
Introduction Discrimination in education is commonly associated with face-to-face interactions between teachers and students. However, e-learning environments can also foster discrimination.
Zahra Hadian Jazi PhD, Amir Shahzeydi MSc, Kazzem Gheybi PhD, Sedigheh Farzi PhD, Sima Babaei PhD   +4 more
doaj   +1 more source