Results 101 to 110 of about 2,391 (245)

Enhancing the Recognition Task Performance of MEMS Resonator-Based Reservoir Computing System via Nonlinearity Tuning. [PDF]

Micromachines (Basel), 2022
Sun J, Yang W, Zheng T, Xiong X, Guo X, Zou X.   +5 more
europepmc   +1 more source

Nanomaterials‐mediated glycolysis rewriting to potentiate tumor immunotherapy

BMEMat, EarlyView.
This review systematically summarizes cutting‐edge advances in glycolysis‐rewiring nanomedicines, emphasizing their mechanisms in reversing immunosuppression and reinvigorating antitumor immune responses. Challenges in clinical translation and future directions for designing multifunctional metabolic‐immune modulators are also critically discussed ...
Zilin Ma, Songyan Li, Jie Yan, Xuechun Wang, Wen Zhao, Yunxuan Song, Dongdong Liu, Jianwei Jiao, Xiuying Duan, Guiqiang Zhang   +9 more
wiley   +1 more source

Electrical actuation of single-crystal diamond MEMS resonators at high temperatures

Functional Diamond
Achieving efficient low-voltage actuation of microelectromechanical system (MEMS) resonators in high-temperature environments poses a difficult topic due to the thermal interference and the risk of high-temperature failure.
Zilong Zhang, Keyun Gu, Guo Chen, Masataka Imura, Meiyong Liao   +4 more
doaj   +1 more source

Q-Factor Enhancement of Coupling Bragg and Local Resonance Band Gaps in Single-Phase Phononic Crystals for TPOS MEMS Resonator. [PDF]

Micromachines (Basel), 2022
Li L, He W, Tong Z, Liu H, Xie M.
europepmc   +1 more source

Nanophotonic Biosensors and the Paradigm of Trans‐Scale Autonomous Bio‐Integrated Diagnostics for Addressing Health Complexities

Electron, EarlyView.
Physics‐driven advances in optical nanobiosensors for rapid, miniaturized, and point‐of‐care diagnostics for next‐generation decentralized and personalized healthcare based on sensor intelligence. ABSTRACT Public health emergencies and the escalating burden of chronic diseases necessitate a paradigm shift from centralized laboratory testing to rapid ...
Vishal Chaudhary, Harsh Sable, Sonu Sonu, Lakshita Phor, Reddicherla Umapathi, Pradeep Bhadola   +5 more
wiley   +1 more source

Controllable multichannel acousto-optic modulator and frequency synthesizer enabled by nonlinear MEMS resonator. [PDF]

Sci Rep, 2021
Pillai G, Li SS.
europepmc   +1 more source

Sleep magnetoencephalography enhances detection and source imaging of seizures and fast oscillations in focal cortical dysplasia

Epilepsia, EarlyView.
Abstract Objective Focal cortical dysplasia (FCD) causes drug‐resistant epilepsy requiring presurgical evaluation. Invasive electroencephalographic (EEG) studies demonstrate that sleep modulates epileptic activity, including interictal epileptiform discharges (IEDs), fast oscillations (FOs) in the beta (14–40 Hz) and gamma (40–80 Hz) frequency bands ...
Marcel Heers, Jawata Afnan, Christoph Braun, Christophe Grova, Dirk‐Matthias Altenmüller, Bernhard J. Steinhoff, Matthias Dümpelmann, Theo Demerath, Horst Urbach, Silke Ethofer, Markus Siegel, Andreas Schulze‐Bonhage, Holger Lerche, Yiwen Li Hegner   +13 more
wiley   +1 more source

Deep brain stimulation of the thalamus for intractable epilepsy (FRANCE study): A randomized clinical trial

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to evaluate the efficacy and safety of deep brain stimulation (DBS) of the anterior nucleus of the thalamus (ANT) compared with best medical treatment (BMT) in patients with drug‐resistant epilepsy (DRE).
Stéphan Chabardès, Fabrice Bartolomei, Anca Nica, Claire Haegelen, Lorella Minotti, Brigitte Piallat, Chrystele Mosca, Sandrine Massicot, Sylvain Rheims, Marc Guenot, Emmanuel Cuny, Jérome Aupy, Louis Maillard, Sophie Colnat‐Coulbois, Corentin Leroy, Romain Carron, Philippe Coubes, Philippe Gélisse, Carine Karachi, Vincent Navarro, Bertrand Devaux, Francine Chassoux, Phlippe Derambure, Nicolas Reyns, Jean Christope Sol, Luc Valton, Denys Fontaine, Veronique Bourg, Philippe Kahane, Sandra David‐Tchouda, Jean Regis   +30 more
wiley   +1 more source

Use of artificial intelligence in magnetic resonance imaging across the epileptic patient's journey: A meta‐analysis of four clinical applications

Epilepsia, EarlyView.
Abstract Objective The application of artificial intelligence/machine learning (AI/ML) to magnetic resonance imaging (MRI) promises to enhance and support clinical decision‐making in epilepsy. However, there currently lacks an appropriate assessment of clinical utility and study rigor of current AI/ML‐driven models that are targeted toward supporting ...
Judy Chen, Ella Sahlas, Yigu Zhou, Natalie Chen, Jim Xie, Farhan Wadia, Lorenzo Caciagli, Aristides Hadjinicolaou, Alexander G. Weil, Roy W. Dudley, Dewi V. Schrader, Andrea Bernasconi, Neda Bernasconi, Boris C. Bernhardt   +13 more
wiley   +1 more source

A Novel High-Speed and High-Accuracy Mathematical Modeling Method of Complex MEMS Resonator Structures Based on the Multilayer Perceptron Neural Network. [PDF]

Micromachines (Basel), 2021
Li Q, Lu K, Wu K, Zhang H, Sun X, Wu X, Xiao D.   +6 more
europepmc   +1 more source