Results 161 to 170 of about 135,945 (298)

CpG site- and methylation level-dependent measurement variability across three bisulfite-based DNA methylation assays. [PDF]

Epigenetics
Rangani F, Needhamsen M, Kular L, Jagodic M, Pahlevan Kakhki M.   +4 more
europepmc   +1 more source

Real-world efficacy of deep TMS for obsessive-compulsive disorder: interim post-marketing analysis of 192 patients from twenty-two sites

Brain Stimulation, 2020
Geoffrey Grammer, Aron Tendler, Mehmet Kemal Arikan, Ryan Vidrine, David Kent, Owen Muir, Carlene MacMillan, Leah Casuto, William Sauve, Kellie Tolin, Steven A. Harvey, Misty Borst, Robert Rifkin, Manish Sheth, Brandon Cornejo, Raul Rodriguez, Saad Shakir, Taylor Porter, Deborah Kim, Brent Peterson, Julia Swofford, Brendan Roe, Rebecca Sinclair, Tal Harmelech, Abraham Zangen, Yiftach Roth   +25 more
doaj   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

The application of transcranial magnetic stimulation in treatment-resistant depression: insights from omics. [PDF]

Front Psychiatry
Yang Y, Zhang X, Duan Y, Wu J, Zhang M, Niu R, Bao T.   +6 more
europepmc   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Transcranial magnetic stimulation-based multisite neuromodulation for motor recovery after spinal cord injury: a structured narrative review. [PDF]

Front Neurol
Luo Y, Huang X, Wang K, Lu S, Song J, Yang X, Li F, Luo Y.   +7 more
europepmc   +1 more source

Recent Advances in Carbon Cathode Materials toward High‐Performing Zinc‐Ion Hybrid Supercapacitors

Advanced Science, EarlyView.
Aqueous zinc‐ion hybrid supercapacitors (ZHSCs) have emerged as promising next‐generation electrochemical energy‐storage devices. Porous carbon materials have been extensively studied as cathodes, with advances in tailoring pore structures and material properties to enhance performance.
Take Hirooka, Zhaolin Liu, Ivan P. Parkin, Guanjie He   +3 more
wiley   +1 more source

Associations of Combined Transcranial Magnetic Stimulation and Transcranial Direct Current Stimulation With Psychological and Functional Outcomes After Stroke: A Retrospective Cohort Study. [PDF]

Actas Esp Psiquiatr
Wu Y, Shen Y, Huang M.
europepmc   +1 more source

TMS-EEG Shows Mindfulness Meditation Is Associated With a Different Excitation/Inhibition Balance in the Dorsolateral Prefrontal Cortex

Objectives Mindfulness meditation is associated with functional brain changes in regions subserving higher order cognitive processes such as attention.
Oliver Baell (20792309), Aron Hill (13059099), Sung Wook Chung (20792315), Gregory Humble (20792306), Paul B Fitzgerald (6506618), Melissa Osborn (20792321), Neil W Bailey (15387458), Harry Geddes (5283635), Melanie Emonson (20792318), Jake Elijah Payne (20792312), Bridget Caldwell (20792324), Robin Cash (20792327)   +11 more
core  

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source