Results 251 to 260 of about 393,308 (312)

Efficacy of Inebilizumab in N‐MOmentum Trial Participants With or Without Prior Immunosuppressants

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This post hoc analysis examined the impact of prior immunosuppressants on the long‐term efficacy and safety of inebilizumab, a cluster of differentiation 19+ B‐cell–depleting monoclonal antibody, in participants with aquaporin‐4–seropositive neuromyelitis optica spectrum disorder from the N‐MOmentum trial (NTC02200770).
Bruce A. C. Cree, Beatrice Suero, Sarah Walsh, Romain Marignier, John W. Lindsey, Ho Jin Kim, Dewei She, Daniel Cimbora, Dustin Cavida, Friedemann Paul   +9 more
wiley   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

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Parameter extraction by holographic filtering

Applied Optics, 1982
Holographic matched filter pattern recognition has been plagued by too much sensitivity to such parameters as rotation and scale. We show here how to use that sensitivity to make rapid accurate estimations of those parameters. For the particular case studied, we made signal-magnitude independent measurements of four rotation angles from -15 to +15 ...
J L, Horner, H J, Caulfield
openaire   +2 more sources

Impact of parameter extraction methodology on variances of extracted parameter values

Solid-State Electronics, 2010
Abstract Two general classes of strategies for extraction of compact model electrical and temperature scaling parameters are identified and compared in the present paper. Applying these to extract parameters of the p–n junction depletion capacitance, we show that the reproducibility of estimated parameter values can strongly depend on the extraction ...
Vladimir Milovanović, Ramses van der Toorn   +1 more
openaire   +1 more source

Oil extracts of herbal drugs – optimisation of the extraction parameters

Die Pharmazie, 2009
The plant constituents of fourty two olive oil extracts from chamomile flowers [Chamomilla recutita (L.) Rauschert] were analysed by means of GC, VIS-spectrometry, and HPLC in order to assess the effectiveness of the traditional extraction methods of the German Homoeopathic Pharmacopoeia (HAB 2008).
Stahl-Biskup, E., Heldmaier, M., Beyer-Koschitzke, J.   +2 more
openaire   +2 more sources

Methodology for extracting thermoelectric module parameters

Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510), 2004
The fundamental temperature-dependent parameters of a thermoelectric (TE) module: coefficient, electrical resistance, thermal conductance, and figure-of-merit are necessary, among other factors, for the conception of models for this type of devices. In this work we present a methodology for calculating these parameters from observable variables, which ...
Daniel Mitrani, José Antonio Tomé, Jordi Salazar, Antoni Turó, Miguel Jesus García, Juan Antonio Chávez   +5 more
openaire   +1 more source

Extraction of metamaterial parameters

2015 IEEE 6th International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE), 2015
In this paper, we present to retrieve the effective electromagnetic parameters of a metamaterial. In this retrieval method, calculated or measured scattering parameters are employed for plane wave incident obliquely on a metamaterial slab at different angles.
null Yunmei Si, null Zhan Zhang
openaire   +1 more source

Parameter extraction by parallel neural networks

Intelligent Data Analysis, 2001
This paper presents a combined wavelet – neural networks model to extract damping coefficients and modal frequency values from flight flutter data. Wavelet transform is introduced, not only it is used to filter noise from the original raw data, but it is applied so that the original multi-mode signal is decomposed into a sequence of single-mode signals.
Yau Shu Wong, Ben H. K. Lee, T. K. S. Wong   +2 more
openaire   +3 more sources

Improving sigma-lognormal parameter extraction

2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015
A fully automatic framework based on the kinematic theory of rapid human movements was recently introduced for analyzing and modeling complex human movements patterns such as those involved in handwriting. In this paper, we present a new approach to better extract and estimate the lognormal primitives and parameters.
Daniel Martín-Albo, Rejean Plamondon, Enrique Vidal 0001   +2 more
openaire   +1 more source

Optimized Extraction of MOS Model Parameters

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1982
A common problem faced by designers in simulating MOS circuits is the specification of model parameters. Typical parameter extraction procedures determine parameters sequentially, ignoring many of the interactions between parameters. The resulting fit of the model to measured data may be less than optimum.
D. E. Ward, K. Doganis
openaire   +1 more source