Results 171 to 180 of about 266,284 (255)

A phase 3, randomized clinical trial of soticlestat as adjunctive therapy for Lennox–Gastaut syndrome

Epilepsia, EarlyView.
Soticlestat as adjunctive therapy for Lennox–Gastaut syndrome. Abstract Objective There remains a need for new treatments for Lennox–Gastaut syndrome (LGS), a developmental and epileptic encephalopathy with a heterogenous patient population that often requires polytherapy. The phase 3, randomized SKYWAY study (NCT04938427) investigated the efficacy and
Renzo Guerrini, Eric D. Marsh, Wei‐Ping Liao, Katsumi Imai, Ruzica Kravljanac, Anna Altmann, Cecil D. Hahn, Stéphane Auvin, Jimmy Schiemann, Yasir Khan, Pranab Mitra, Sarah I. Sheikh, Philipp von Rosenstiel, Mahnaz Asgharnejad, Dennis Dlugos, Venkatesha Murthy   +15 more
wiley   +1 more source

Real world testing and cost‐effectiveness analysis of subcutaneous EEG (REAL‐ASE): Protocol for a prospective multicentre interventional trial

Epilepsia Open, EarlyView.
Abstract Objective Epilepsy is a common condition associated with significant morbidity, mortality, and costs. Poor documentation of seizures is a major challenge in epilepsy care. Objective seizure counting with mobile devices may mitigate this challenge and improve patient management.
Matthew McWilliam, Pedro F. Viana, Eren Dursun, Joe Davies, Joel S. Winston, Jessica Agren, Harutomo Hasegawa, Jonas Duun‐Henriksen, Mark P. Richardson   +8 more
wiley   +1 more source

Rolling Stock Illumination

JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN, 1962
openaire   +2 more sources

Lighting for Rolling Stock

Journal of the Illuminating Engineering Institute of Japan, 2002
Akira Kinomura, Akihiko Torii
openaire   +2 more sources

Nanomaterials and Eco‐Friendly Refrigerants in Vapor Compression System: A Review of Performance and Sustainability

Energy Science &Engineering, EarlyView.
This review highlights how nano oils and eco‐friendly nano refrigerants enhance energy‐efficient refrigeration by improving thermal conductivity, lubrication, and system performance. The integration of rheological and tribological testing confirms reduced compressor work, better heat transfer, and higher COP using sustainable, low‐GWP refrigerants for ...
Mohammed Dilawar, Bisma Ali, Turali Narayana, Mohammad Reza Chalak Qazani, Rehan Khan, Adnan Qayoum, Tabrez Qureshi, Mohd Mujtaba Ahmed   +7 more
wiley   +1 more source

Impact of donor mare and stallion identity on the likelihood of pregnancy after transfer of in vitro produced embryos

Equine Veterinary Journal, EarlyView.
Abstract Background The success of in vitro embryo production (IVEP) is influenced by donor mare and stallion. Objectives To determine whether donor mare and stallion influence the pregnancy rate after transfer of in vitro produced (IVP) blastocysts and to identify factors influencing the likelihood of obtaining one or more pregnancies from a single ...
M. Papas, T. A. E. Stout, J. C. M. Vernooij, B. Leemans, L. Arnold, M. M. Beitsma, L. I. Wijnands, M. de Ruijter‐Villani, S. Colleoni, G. Lazzari, C. Galli, A. Claes   +11 more
wiley   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source

Rolling Stock Recovery Problem [PDF]

, 2009
Clausen, Jens, Groth, Julie Jespersen, Larsen, Jesper   +2 more
core  

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

Journal 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