Results 81 to 90 of about 1,356,793 (315)

The rs10191329 Risk Allele Is Associated With Pronounced Retinal Layer Atrophy in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate whether the rs10191329 risk allele in the DYSF–ZNF638 locus, which is implicated in central nervous system resilience rather than immune‐mediated pathology, is associated with retinal layer thinning, a biomarker of neuroaxonal damage in relapsing multiple sclerosis (RMS). Methods From a prospective observational study,
Gabriel Bsteh, Ruchi Tanavade, Nik Krajnc, Fabian Föttinger, Theresa König, Martin Krenn, Lukas Haider, Barbara Kornek, Fritz Leutmezer, Kerstin U. Ludwig, Stefan Macher, Tobias Monschein, Markus Ponleitner, Paulus Rommer, Christiane Schmied, Karin Zebenholzer, Tobias Zrzavy, Gudrun Zulehner, Franziska Di Pauli, Axel Schmidt, Harald Hegen, Berthold Pemp, Thomas Berger   +22 more
wiley   +1 more source

Classical and modified rescaled range analysis: Sampling properties under heavy tails [PDF]

Mostly used estimators of Hurst exponent for detection of long-range dependence are biased by presence of short-range dependence in the underlying time series. We present confidence intervals estimates for rescaled range and modified rescaled range.
Ladislav Kristoufek
core   +1 more source

Quantitative Iron Measurements in the Basal Ganglia of NBIA Patients Using QSM: Insights From a Tertiary Center

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurodegeneration with brain iron accumulation (NBIA) comprises rare genetic disorders characterized by predominantly extrapyramidal symptoms and iron deposition in the basal ganglia. Conventional magnetic resonance imaging (MRI) detects qualitative changes but cannot accurately quantify iron accumulation. Quantitative susceptibility
Özge Uygun, Alpay Özcan, Fuat Kaan Aras, Evrim Bozdemir, Sibel Uğur İşeri, Koray Kırımtay, Arzu Karabay, Murat Gültekin, Nihan Hande Akçakaya, Orkhan Mammadov, Gülay Kır, Dilek İnce Günal, Neşe Tuncer, Fatma Betül Özdilek, Banu Özen Barut, Ercan Köse, Hülya Apaydın, Asuman Ali, Sultan Çağırıcı, Pınar Topaloğlu, Alp Dinçer, Zuhal Yapıcı   +21 more
wiley   +1 more source

Bibliography profiling of undergraduate theses in a professional psychology program

Avances en Psicología Latinoamericana, 2010
The bibliographic profi le of 125 undergraduate (licentiate)theses was analyzed, describing absolutequantities of several bibliometric variables, as wellas within-document indexes and average lags of thereferences.
Cristina Vargas-Irwin, Eugenia Csoban-Mirka, Jaime R. Robles   +2 more
doaj  

ICU‐EEG Pattern Detection by a Convolutional Neural Network

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano, Hervé Quintard, Andreas Kleinschmidt, Nikita Francini, Oana E. Sarbu, Pia De Stefano   +5 more
wiley   +1 more source

Transparent and reliable construction cost prediction using advanced machine learning and explainable AI

Engineering Science and Technology, an International Journal
Accurate construction cost prediction is vital for project management, influencing budgeting, resource allocation, and overall success. This study proposes a comprehensive framework that combines machine learning models, uncertainty quantification ...
Lifei Chen, Changyong Xu, Wei Hong Lim, Abhishek Sharma, Sew Sun Tiang, Kim Soon Chong, El-Sayed M. El-kenawy, Amel Ali Alhussan, Marwa M. Eid, Doaa Sami Khafaga   +9 more
doaj   +1 more source

Privacy-protecting estimation of adjusted risk ratios using modified Poisson regression in multi-center studies

BMC Medical Research Methodology, 2019
Background Multi-center studies can generate robust and generalizable evidence, but privacy considerations and legal restrictions often make it challenging or impossible to pool individual-level data across data-contributing sites.
Di Shu, Jessica G. Young, Sengwee Toh
doaj   +1 more source

Asymptotic properties of robust three-stage procedure based on bootstrap for m-estimator [PDF]

, 2000
The paper concerns the fixed-width confidence intervals for location based on M- estimators in the location model. A robust three-stage procedure is proposed and its asymptotic properties are studied.
Hlávka, Zdeněk
core  

Long‐Term Evaluation of Givinostat in Duchenne Muscular Dystrophy, and Natural History Comparisons

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives This ongoing, open‐label extension study is evaluating the long‐term safety, tolerability, and efficacy of givinostat, a Class I and II histone deacetylase inhibitor, in patients with Duchenne muscular dystrophy (DMD). Methods The recruited patients completed one of two prior clinical studies (one Phase 2 and one Phase 3 [EPIDYS ...
Craig M. McDonald, Michela Guglieri, Dragana Vučinić, Gyula Acsadi, John F. Brandsema, Claudio Bruno, Erika L. Finanger, Amy Harper, Mercedes Lopez Lobato, Riccardo Masson, Nuria Muelas, Francina Munell, Yoram Nevo, Yann Péréon, Han Phan, Valeria A. Sansone, Mariacristina Scoto, Tracey Willis, Richard S. Finkel, Krista Vandenborne, Sara Cazzaniga, Silvia Montrasio, Federica Alessi, Paolo Bettica, Eugenio Mercuri, for the Givinostat Study 51 Investigators, the Cooperative International Neuromuscular Research Group (CINRG) Duchenne Natural History Study (DNHS) Investigators, the ImagingDMD Investigators, Enrico Bertini, Giacomo Pietro Comi, Eugenio Maria Mercuri, Giuseppe Vita, Sonia Messina, Claudio Bruno, Riccardo Masson, Valeria Sansone, Nathalie Goemans, Liesbeth De Waele, Laurent Servais, Teresa Gidaro, Odile Boespflug‐Tanguy, Yann Péréon, Jessika Johannsen, Astrid Blaschek, Ulrike Schara‐Schmidt, Erik Niks, Imelda de Groot, Saskia Houwen‐van Opstal, Andres Nascimento, Juan Jesus Vilchez, Nuria Muelas, Francina Munell, Marcos Madruga Garrido, Mercedes Lopez Lobato, Michaela Guglieri, Tracey Willis, Stefan Spinty, Daniel Hawcutt, Mariacristina Scoto, Jean K. Mah, Laura McAdam, Kathryn Selby, Katherine Mathews, Craig McDonald, Craig Zaidman, Barry Byrne, John Brandsema, Gyula Acsadi, Chamindra Laverty, Amy Harper, Erika Finanger, Han Phan, Yoram Nevo, Vedrana Milic Rasic, Dragana Vucinic   +74 more
wiley   +1 more source

Sensitivity Analysis of an OLS Multiple Regression Inference with Respect to Possible Linear Endogeneity in the Explanatory Variables, for Both Modest and for Extremely Large Samples

Econometrics, 2020
This work describes a versatile and readily-deployable sensitivity analysis of an ordinary least squares (OLS) inference with respect to possible endogeneity in the explanatory variables of the usual k-variate linear multiple regression model.
Richard A. Ashley, Christopher F. Parmeter   +1 more
doaj   +1 more source