Results 61 to 70 of about 38,291,306 (253)

An Analogue and Mixed-Signal Extension to SystemC [PDF]

open access: yes, 2005
This paper presents a new methodology that enables extensions of SystemC to the analogue domain and allows modelling of mixed-signal and mixed energy-domain systems at arbitrary levels of abstraction.
Kazmierski, Tom, Al-Junaid, Hessa
core   +1 more source

Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias   +3 more
wiley   +1 more source

Capacitive digital-to-analogue converters with least significant bit down in differential successive approximation register ADCs

open access: yesThe Journal of Engineering, 2014
This Letter proposes a least significant bit-down switching scheme in the capacitive digital-to-analogue converters (CDACs) of successive approximation register analog-to-digital converter (ADC).
Lei Sun, Kong-Pang Pun, Wai-Tung Ng
doaj   +1 more source

Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli   +13 more
wiley   +1 more source

23 µW 8.9-effective number of bit 1.1 MS/s successive approximation register analog-to-digital converter with an energy-efficient digital-to-analog converter switching scheme

open access: yesThe Journal of Engineering, 2014
This study presents a successive approximation register analog-to-digital converter with an energy-efficient switching scheme. A split-most significant bit capacitor array is used with a least significant bit-down switching scheme.
Lei Sun   +7 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Why does analogue still feel good in a digital world? [PDF]

open access: yes, 2014
Is analogue better than digital? Is digital better than dialogue? Though the source of much heated debate, it would seem digital is now virtually unstoppable..
Browning, Yanto
core  

Microvascular Damage Is Associated With Carotid Wall Structural Changes in Systemic Sclerosis: A Capillaroscopy and Ultrasound‐Based Observational Study

open access: yesArthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) is characterized by cardiovascular risk excess not fully explained by traditional factors. Whether the severity of microvascular damage correlates with structural subclinical atherosclerosis remains unclear. We investigated the relationship between nailfold videocapillaroscopy (NVC) abnormalities and carotid ...
Eugenio Capparelli   +13 more
wiley   +1 more source

Analogue-to-digital conversion and image enhancement using neuron-mos technology [PDF]

open access: yes, 2000
This thesis describes the development of two novel circuits that use a newly developed technology, that of neuron-MOS, for the purposes of analogue-to-digital conversion and image enhancement.
Austin-Crowe, Joseph W.
core  

Artificial Intelligence‐Driven Extraction of Patient‐Reported Pain Outcomes in Osteoarthritis Using Large Language Models

open access: yesArthritis Care &Research, Accepted Article.
Objective Patient‐reported outcome measures (PROMs) are central to assessing symptom burden and treatment response in Osteoarthritis (OA) but are often embedded in unstructured clinical notes. We evaluated whether prompt‐engineered large language models (LLMs) could accurately extract or infer pain scores on a 0‐10 scale from routine OA clinical ...
Jainesh Doshi   +7 more
wiley   +1 more source

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