Results 171 to 180 of about 5,622,406 (301)

Report on the On-Site Training for Introduction of C-Hook for Bottom Longline [PDF]

, 2008
Southeast Asian Fisheries Development Center, Training Department
core  

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

Cognitive training effects in mild cognitive impairment with and without amyloid pathology. [PDF]

Dement Neuropsychol
Bossa NA, Busatto G, Nitrini R, Brucki SMD, Miotto EC.   +4 more
europepmc   +1 more source

Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair

Advanced Science, EarlyView.
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing, Yang Yang, Zichen Hong, Chunhui Tian, Huiyu Chu, Susanne Clara Prokop, Hongwei Cai, Mingxia Gu, Jason Tchieu, Ken Mackie, Feng Guo   +10 more
wiley   +1 more source

Effects of Pure Cognitive Training on Gait and Balance in Older Adults: Systematic Review and Meta-Analysis. [PDF]

JMIR Aging
Li X, Chan YL, Liang G, Lau CH, Lam TYY, Lam CH, Chan TW, Cheung HK, Chan WLS, Hsu CL, Lam FMH.   +10 more
europepmc   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Serum metabolomic profiling following cerebellar repetitive transcranial magnetic stimulation combined with cognitive training on Alzheimer's disease. [PDF]

Front Neurol
Chen Y, Shi J.
europepmc   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Cognitive training and promoting a healthy lifestyle in isolated REM sleep behavior disorder: The randomized controlled trial CogTrAiL-RBD. [PDF]

Alzheimers Dement
Ophey A, Röttgen S, Kufer K, Pauquet J, Scharfenberg D, Armbrust P, Kammerzell A, Knopf N, Kollath S, Sommer P, Doppler CEJ, Farrher E, Seger A, Shah NJ, Zopfs D, Reetz K, Fink GR, Sommerauer M, Kalbe E.   +18 more
europepmc   +1 more source

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

Advanced Science, EarlyView.
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu, Fumiaki Iwane, Minsu Zhang, Leonardo G. Cohen, José del R. Millán   +4 more
wiley   +1 more source