Results 141 to 150 of about 1,288,824 (303)
Precondition of right frontal region with anodal tDCS can restore the fear memory impairment induced by ACPA in male mice [PDF]
Fear memory and learning cause behavioural patterns such as fight or flight responses, which increase survival probability, but unfit processing of fear memory and learning can lead to maladaptive behaviours and maladies such as phobias, Post-Traumatic ...
Manteghi, Fariborz +2 more
core +1 more source
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning
, 2020 Human society had a long history of suffering from cognitive biases leading to social prejudices and mass injustice. The prevalent existence of cognitive biases in large volumes of historical data can pose a threat of being manifested as unethical and ...
Ganguly, Debasis, Sen, Procheta
core +1 more source
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 +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
The power of belief? Evidence of reduced fear extinction learning in Catholic God believers
Frontiers in Public HealthReligious beliefs can shape how people process fear. Yet the psychophysiological mechanisms underlying this phenomenon remain poorly understood. We investigated fear learning and extinction processes in a group of individuals who professed a belief in ...
Carmelo Mario Vicario +7 more
doaj +1 more source
Learning to suppress what I fear.
EmotionObjects that typically induce fear capture attention in an automatic, involuntary manner, particularly for individuals fearful of such objects. This study investigates whether attention to these objects can be attenuated through statistical learning.
Jan Theeuwes, Dirk van Moorselaar
openaire +3 more sources
Selective Benzene Capture by Metal‐Organic Frameworks
Advanced Functional Materials, EarlyView.Metal‐organic frameworks (MOFs) hold significant potential for capturing benzene from air emissions and hydrocarbon mixtures in liquid phases. This capability stems from their precisely engineered structures, versatile chemistries, and diverse binding interactions.
Zongsu Han +4 more
wiley +1 more source
The learning approaches of A level history and geography students analysed: a report from a sixth form college [PDF]
, 2015 This paper sought to explore how students in History and Geography approach learning. The research involved GCE A Level students in the Sixth Form College sector, in which they responded to a structured questionnaire that was drawn from the literature on
Stoten, David William
core
Electroactive Metal–Organic Frameworks for Electrocatalysis
Advanced Functional Materials, EarlyView.Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source