Results 151 to 160 of about 64,005 (305)

A low-power 8-bit 1-MS/s single-ended SAR ADC in 130-nm CMOS for medical devices

open access: yesJournal of Electrical Systems and Information Technology
Rapid advancements in micro-machining and microelectronics over the last few years have accelerated the growth of implanted medical devices that greatly improve a person's life.
Dina M. Ellaithy
doaj   +1 more source

Synchronization trigger control system for flow visualization [PDF]

open access: yes
The use of cinematography or holographic interferometry for dynamic flow visualization in an internal combustion engine requires a control device that globally synchronizes camera and light source timing at a predefined shaft encoder angle. The device is
Chun, K. S.
core   +1 more source

Is posttraumatic stress disorder specific to drug‐resistant epilepsy or a common feature of chronic disease? A comparative study with atrial fibrillation and type 1 diabetes

open access: yesEpilepsia, EarlyView.
Abstract Objective Posttraumatic stress disorder (PTSD) is more prevalent in epilepsy than in the general population. However, it remains unclear whether this association is specific to epilepsy or a broader consequence of experiencing unpredictable acute episodes within chronic diseases.
Lisa‐Dounia Soncin   +9 more
wiley   +1 more source

Intracranial electroencephalographic connectivity analysis to localize epileptogenic networks: Systematic review and meta‐analysis from ILAE Epilepsy Surgery Networks Task Force

open access: yesEpilepsia, EarlyView.
Abstract Intracranial electroencephalographic (iEEG) connectivity analysis is a promising method to localize epileptic networks and guide surgical planning in focal drug‐resistant epilepsy. Despite numerous studies exploring its utility, the added value of iEEG connectivity over standard clinical presurgical evaluation remains unclear.
Nishant Sinha   +15 more
wiley   +1 more source

Effectiveness of adjunctive low‐dose clobazam in adults with focal drug‐resistant epilepsy and incomplete response to cenobamate: A real‐world study

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Cenobamate (CNB) is a highly effective antiseizure medication (ASM) for focal drug‐resistant epilepsy (DRE); nevertheless, even with CNB treatment and optimized therapy, a substantial proportion of patients continued to experience seizures.
Ilaria Ciullo   +8 more
wiley   +1 more source

Optimization of Energy Efficiency in Photovoltaic Water Pumping Systems Using Neural Networks

open access: yesEnergy Science &Engineering, EarlyView.
This study investigates an optimal control strategy for a photovoltaic (PV) water pumping system aimed at improving efficiency and autonomy in off‐grid applications. The system uses an induction motor with direct torque control and compares three maximum power point tracking (MPPT) techniques: neural network–based MPPT, Incremental Conductance (IC ...
Sihem Ghoudelbourk   +3 more
wiley   +1 more source

Threshold Study of Phase Lock Loop Systems Interim Technical Report [PDF]

open access: yes
Threshold studies of phase lock loop systems - effect of phase comparator on overall performance and threshold ...
Lindenlaub, J. C., Uhran, J. J.
core   +1 more source

Bioengineered Isoflavone–Probiotic Functional Foods for Sustainable Modulation of Metabolic and Reproductive Health in PCOS

open access: yesFood Bioengineering, EarlyView.
Synergistic isoflavone‐probiotic action modulated metabolic, microbial and ovarian pathway ABSTRACT Polycystic ovary syndrome (PCOS) is a prevalent metabolic–endocrine disorder characterized by insulin resistance, hyperandrogenism, chronic inflammation, oxidative stress, and ovarian dysfunction, with growing evidence implicating gut microbiota ...
Jeyavelkumaran Renukadevi   +4 more
wiley   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das   +2 more
wiley   +1 more source

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