Results 71 to 80 of about 17,368,081 (283)

Reserves, Injury Severity, and Outcomes in Traumatic Brain Injury: A CENTER‐TBI Observational Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reserve refers to the brain's ability to maintain function after an injury and strongly relates to traumatic brain injury (TBI) outcomes. This study examined (1) whether associations between pre‐injury reserve proxies and outcomes differed across injury severity categories, and (2) whether the impact of injury severity varied across ...
Natascha Ekdahl   +6 more
wiley   +1 more source

A Two‐Stage Plasma Biomarker Algorithm Reduces Amyloid PET Use and the p‐Tau217 Gray Zone

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma p‐Tau217 leaves 30%–50% of patients in an indeterminate “gray zone” often requiring Aβ‐PET. We developed GRAD (Gatekeeper‐Reflex for Alzheimer's Disease), a two‐stage Aβ‐positivity prediction model to improve classification while reserving Aβ‐PET for residual uncertainty.
Harthik Parankusham   +7 more
wiley   +1 more source

Memristor-Based Resistive Random Access Memory: Hybrid Architecture for Low Power Compact Memory Design [PDF]

open access: yes, 2014
The computer memory system has both volatile and non volatile memory. The Volatile memories such as SRAM and DRAM used as a main memory and non volatile memory like flash memory.
V, Thangamani.
core   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

open access: yesAdvanced Intelligent Discovery
The quest for energy‐efficient, scalable neuromorphic computing has elevated compute‐in‐memory (CIM) architectures to the forefront of hardware innovation.
Kapil Bhardwaj   +2 more
doaj   +1 more source

Memristor-Based Nonvolatile Random Access Memory: Hybrid Architecture for Low Power Compact Memory Design

open access: yesIEEE Access, 2013
In this paper, a new approach toward the design of a memristor based nonvolatile static random-access memory (SRAM) cell using a combination of memristor and metal-oxide semiconductor devices is proposed. Memristor and MOSFETs of the Taiwan Semiconductor
Syed Shakib Sarwar   +3 more
doaj   +1 more source

Associations Between Biomarkers of Alzheimer's Disease and Sleep in Cognitively Unimpaired Older Adults

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Sleep disturbances have been implicated as a risk factor for developing Alzheimer's disease (AD), but evidence linking plasma AD biomarkers to sleep in cognitively unimpaired individuals remains limited. The present study examined associations between evening, morning, and overnight changes in plasma AD biomarkers and measures of ...
Cornelia Sauter   +5 more
wiley   +1 more source

A Return to Normality: A Descriptive Qualitative Interview Study Exploring the Patient Experience of Gout Flare Resolution

open access: yesArthritis Care &Research, EarlyView.
Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart   +5 more
wiley   +1 more source

Stability Improvement of an Efficient Graphene Nanoribbon Field-Effect Transistor-Based SRAM Design

open access: yesJournal of Nanotechnology, 2020
The development of the nanoelectronics semiconductor devices leads to the shrinking of transistors channel into nanometer dimension. However, there are obstacles that appear with downscaling of the transistors primarily various short-channel effects ...
Mathan Natarajamoorthy   +3 more
doaj   +1 more source

A data aware 9T static random access memory cell for low power consumption and improved stability

open access: yes, 2014
Reducing the power consumption in static random access memory can significantly improve the system power efficiency, reliability, and performance. In this paper, we propose a data aware static random access memory cell to reduce the power consumption ...
Mah Meng Seong   +5 more
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

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