Results 121 to 130 of about 55,282 (249)

Serious Games Based on Cognitive Bias Modification and Learned Helplessness Paradigms for the Treatment of Depression: Design and Acceptability Study. [PDF]

JMIR Serious Games, 2023
Ghosh A, Agnihotri J, Bhalotia S, Sati BK, Agarwal L, A A, Tandon S, Meena K, Raj S, Azad Y, Gupta S, Gupta N.   +11 more
europepmc   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

Web-Based Cognitive Bias Modification Program for Young People With Social Anxiety and Hazardous Alcohol Use: Feasibility, Acceptability, and Preliminary Efficacy Study. [PDF]

JMIR Form Res, 2023
Prior K, Salemink E, Piggott M, Manning V, Wiers RW, Teachman BA, Teesson M, Baillie AJ, Mahoney A, McLellan L, Newton NC, Stapinski LA.   +11 more
europepmc   +1 more source

Cognitive bias modification in the context of depression: interpretation bias and mental imagery

, 2009
The aim of this thesis was to develop a positive Cognitive Bias Modification (CBM) technique using imagery in the context of depressed mood. CBM targets biases associated with emotional disorders. CBM modifying interpretation bias (CBM-I) has been investigated for anxiety, but not depression.
openaire   +2 more sources

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Protocol for an RCT on cognitive bias modification for alcohol use disorders in a religion-based rehabilitation program. [PDF]

BMJ Open, 2022
Seesink HJ, Schaap-Jonker H, Ostafin B, Lokman JC, Wiers RW.   +4 more
europepmc   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Integrating cognitive bias modification for pain and opioid cues into medication for opioid use disorder clinical care: Feasibility, acceptability, and preliminary results. [PDF]

Drug Alcohol Depend, 2023
MacLean RR, Heapy AA, Waters AJ, Wolkowicz N, Szollosy SK, Meyerovich J, Sofuoglu M.   +6 more
europepmc   +1 more source

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

Advanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee, Sungha Jeon, Min Kim, Joonhee Won, Jinwook Yeo, Kyunghyun Jo, Soyeon Lee, Kieun Park, Yechan Yang, Chul Kim, Gun‐Hee Lee, Seunghwa Ryu, Sungho Jo, Seongjun Park   +13 more
wiley   +1 more source

The Effect of Smartphone-Delivered Approach Bias Modification Training on Relapse Among Patients Leaving Residential Alcohol Treatment: A Randomised Controlled Trial

Substance Abuse and Rehabilitation
Joshua BB Garfield,1,2 Danielle Whelan,1,2 Hugh Piercy,1,2 Malcolm Hopwood,3,4 Michael Maloney,5 Rajnarayan Mahasuar,6 Ariel D Roxburgh,1,2,7 Dan I Lubman,1,2 Victoria Manning1,2 1Monash Addiction Research Centre, Eastern Health Clinical School, Monash ...
Garfield JBB, Whelan D, Piercy H, Hopwood M, Maloney M, Mahasuar R, Roxburgh AD, Lubman DI, Manning V   +8 more
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