Results 131 to 140 of about 905,853 (309)

Complementing Engel Classification: Postoperative Scalp EEG as an Objective Indicator in SEEG‐Guided Radiofrequency Thermocoagulation—A Seizure‐Onset Pattern‐Based Stratified Analysis—

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) is a minimally invasive therapy for drug‐resistant focal epilepsy. However, the relationship between specific seizure‐onset patterns (SOPs), particularly low‐voltage fast activity (LVFA), and postoperative scalp EEG normalization remains inadequately ...
Yi‐qing Yang   +6 more
wiley   +1 more source

Performance of a compact, continuous-wave terahertz based on a quantum-cascade laser [PDF]

open access: yes, 2010
We report on the development of a compact, easy-to-use terahertz radiation source, which combines a quantum cascade laser (QCL) with a compact, low-input-power Stirling ...
Richter, Heiko   +9 more
core  

Transitions from child and adolescent mental health services (CAMHS) for young people with social care needs in Wales

open access: yesInternational Journal of Population Data Science
Childhood to adulthood transitions are often characterised by instability and increased support needs, particularly for young people involved with mental health and social care services.
Louisa M Roberts
doaj   +1 more source

Stage‐Specific Patterns of Imaging and Non‐Motor Biomarkers in Spinocerebellar Ataxia Type 3

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Advancements in disease‐modifying therapies for spinocerebellar ataxia Type 3 (SCA3) underscore the need for robust biomarkers to monitor disease progression and evaluate treatment efficacy. Although motor phenotypes have been well characterized, less is known about non‐motor and imaging‐based features across different disease stages.
Chun Li   +17 more
wiley   +1 more source

South Cascade District annual report

open access: yes, 2005
This archived document is maintained by the Oregon State Library as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.2005-Title from coverMode of access: Internet from the ...

core  

City of Cascade Locks 2022 wildfire mitigation plan

open access: yes, 2022
Title from PDF cover (viewed on July 29, 2022)."PROJECT: CCL21-001."This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal

core  

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

Cascade Nine Wins from Warm Lake

open access: yes, 1938
Recap of Cascade's victory over Warm lake CCC camp at Warm Lake, Cascade retained a perfect record with a 13-6 ...
Cascade News
core  

Short‐Term Response to Biologic Therapy in Psoriatic Arthritis Is Not Influenced by Disease Duration at Initiation of Therapy

open access: yesArthritis Care &Research, EarlyView.
Objective We aimed to determine whether the short‐term response to biologics in biologic‐naive psoriatic arthritis (PsA) is better in patients initiating biologic treatment early in the disease course. Methods Patients with PsA who started on biologic therapy from the year 2000 to 2025 were included for analysis.
Sung Min Cho   +4 more
wiley   +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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