Results 61 to 70 of about 1,226,581 (281)

Genetic and maternal predictors of cognitive and behavioral trajectories in females with fragile X syndrome

Journal of Neurodevelopmental Disorders, 2018
Background Fragile X syndrome (FXS) is caused by a mutation in the FMR1 gene on the X chromosome, leading to decreased levels of FMR1 protein (FMRP), which causes the array of neuropsychological impairments that define FXS.
Laura del Hoyo Soriano, Angela John Thurman, Danielle Jenine Harvey, W. Ted Brown, Leonard Abbeduto   +4 more
doaj   +1 more source

Achieving High ON State Current through Ferroelectric Polarization‐Dependent Interfacial Resistance Switching in Undoped Orthorhombic HfO2 Films

Advanced Functional Materials, EarlyView.
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand, Nuno Estrócio, Ji S. Kim, Babak Bakhit, Marian C. Istrate, Corneliu Ghica, Tiago Rebelo, Nives Strkalj, Abin Varghese, Bernardo Almeida, Luís S. Marques, Bipin Rajendran, Judith L. MacManus‐Driscoll, José P. B. Silva   +13 more
wiley   +1 more source

National Intelligence Daily 20 December 1983 [PDF]

, 1983
Declassified on 2017-11 ...
United States. Central Intelligence Agency., United States. Central Intelligence Agency   +1 more
core  

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

The relation between fluid intelligence and the general factor as a function of cultural background: a test of Cattell's investment theory [PDF]

According to Cattell’s (1987) Investment theory individual differences in acquisition of knowledge and skills are partly the result of investment of Fluid Intelligence (Gf) in learning situations demanding insights in complex relations.
Valentin Kvist, Ann, Gustafsson, Jan-Eric   +1 more
core  

Strong Lead‐Free Bioinspired Piezoceramics for Durable Energy Transducers

Advanced Functional Materials, EarlyView.
We fabricated brick‐and‐mortar lead‐free piezoceramics with Bi0.5Na0.5TiO3 monocrystal platelets as bricks and amorphous silica as mortar. The alignment of the bricks and the presence of the amorphous silica led to anisotropic residual stresses. These residual stresses increase the samples toughness, strength and durability while the brick alignment ...
Ruxue Yang, Temesgen Tadeyos Zate, Peiren Wang, Soumyajit Mojumder, Elo Overgaard Mogensen, Oriol Gavalda‐Diaz, Zihe Li, Shitong Zhou, Ajeet Kumar, James Roscow, Hamideh Khanbareh, Astri Bjørnetun Haugen, Florian Bouville   +12 more
wiley   +1 more source

The Enriching Interplay between Openness and Interest: A Theoretical Elaboration of the OFCI Model and a First Empirical Test

Journal of Intelligence, 2018
The Openness-Fluid-Crystallized-Intelligence (OFCI) model posits long-term relations between Openness and cognitive abilities and has been successfully tested with longitudinal data.
Matthias Ziegler, Titus A. Schroeter, Oliver Lüdtke, Lena Roemer   +3 more
doaj   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source

Deep learning of structural MRI predicts fluid, crystallized, and general intelligence

Scientific Reports
Can brain structure predict human intelligence? T1-weighted structural brain magnetic resonance images (sMRI) have been correlated with intelligence.
Mohammad Arafat Hussain, Danielle LaMay, Ellen Grant, Yangming Ou   +3 more
doaj   +1 more source

P-values from the comparison between crystallized and fluid intelligence.

P-values from the comparison between crystallized and fluid intelligence.
Markus Butz-Ostendorf (6059036), Sebastian J. Kopetzky (6059033), Yong Li (15029), Marcus Kaiser (63381)   +3 more
core   +1 more source