Results 131 to 140 of about 5,544,425 (254)

Dynamic prediction of coal and gas outburst risk based on quantitative analysis of stress–energy evolution and adaptive correction

Deep Underground Science and Engineering, EarlyView.
This study quantitatively analyzed the spatiotemporal evolution of stress redistribution ahead of the working face by integrating coal seam distribution, tectonic stress anomalies, gas pressure, and mining‐induced disturbances. An R‐value criterion for coal and gas outburst (CGO) risk assessment was established based on energy principles.
Yingjie Zhao, Xueqiu He, Dazhao Song, Liming Qiu, Minggong Guo, Jie Liu, Qiang Liu, Yi Zhu   +7 more
wiley   +1 more source

Radar data extraction and constant false alarm rate (CFAR) processing

, 2002
Digital signal processing is essential to any modern radar and communication system. The motivation of this research was aimed to develope the analog-to-digital converter and Constant False Alarm Rate (CFAR) detector of the radar signal processing system.
Zhao, Lei.
core  

Synergistic Microstructure and Dielectric Engineering of Recyclable Single‐Electrode Triboelectric Nanogenerators for Sustainable Smart Homes

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A recyclable triboelectric nanogenerator integrating a pseudo‐honeycomb microstructure with liquid metal doping achieves 120% higher output (122 mW m−2) and >90% retention over seven cycles, enabling self‐powered smart home functions. The performance of single‐electrode triboelectric nanogenerators (SE‐TENGs) is governed by the effective contact area ...
Chencheng Hu, Yuehan Pei, Wenbo Hu, Yu Qi, Ruida Cao, Long Yang, Zitong Kan, Yang Lu, Biao Dong, Hongwei Song, Lin Xu   +10 more
wiley   +1 more source

Artificial Intelligence in Ophthalmology: From Methodological Advances to Clinical Translation and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley   +1 more source

Cenobamate use in super‐refractory status epilepticus: A report of three cases

Epileptic Disorders, EarlyView.
Abstract Objectives Super‐refractory status epilepticus (SRSE) is a neurological emergency with high morbidity and mortality. Cenobamate, a novel antiseizure medication, may be helpful in managing SRSE, but evidence is limited. Methods This retrospective case series reports the use of cenobamate as add‐on therapy in the management of three cases of ...
Marina Romozzi, Juan Luis Alcala‐Zermeno, Antonio Funcis, Federico Tosto, Marta Piccioli, Luigi Francesco Iannone, Riccardo Maviglia, Masahito Katsuki, Yasuhiko Matsumori, Paolo Calabresi, Raffaele Iorio, Catello Vollono   +11 more
wiley   +1 more source

Seizure detection devices in outpatient epilepsy care: High demand, low use, and the need for specialized counseling

Epileptic Disorders, EarlyView.
Abstract Objective To determine real‐world uptake of seizure detection devices (SDDs), quantify patient demand, and identify factors associated with their adoption in routine outpatient epilepsy care. Methods A monocentric cross‐sectional questionnaire‐based study was performed in outpatients at a tertiary epilepsy center.
Anthony Borho, Arthur Jordan, Tim Schrage, Miklas Mahlke, Susanna Moskau‐Hartmann, Rainer Surges, Marcel Bausch, Randi von Wrede   +7 more
wiley   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

Seizure forecasting: The long and winding road to clinical translation

Epilepsia, EarlyView.
Abstract Seizure forecasting has progressed from theoretical aspiration to a rapidly advancing research domain, yet clinical translation remains limited. Over the past decades, advances in algorithm development, chronic electroencephalography (EEG), wearable sensors, and the characterization of seizure cycles have demonstrated that seizure risk is not ...
Philippa J. Karoly, Rachel E. Stirling, Mark J. Cook, Daniel M. Goldenholz, Maxime O. Baud, Vikram R. Rao, Solveig Vieluf, Benjamin H. Brinkmann   +7 more
wiley   +1 more source

How much does the reduced electroencephalographic montage matter for seizure detection? A large‐cohort simulation study

Epilepsia, EarlyView.
Abstract Objective Subscalp electroencephalographic (EEG) systems with few channels have emerged as promising solutions for ultra‐long‐term seizure monitoring, but the impact of montage configuration on automated seizure detection is unclear. We compared automated detection performance between full‐scalp and simulated reduced montages approximating ...
Joe Kojima, Haoer Shi, Svanik Jaikumar, William K. S. Ojemann, Carlos Aguila, Juri Kim, Taneeta Mindy Ganguly, Brian Litt, Erin C. Conrad   +8 more
wiley   +1 more source