Results 121 to 130 of about 66,369 (329)

Dosing Interval Extension of Dupilumab in CRSwNP: Five‐Year Real World Outcomes

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Chronic rhinosinusitis with nasal polyps (CRSwNP) is a persistent, often Type 2‐mediated inflammatory disease that markedly impairs quality of life. While dupilumab provides rapid improvement, there is limited evidence on long‐term outcomes beyond 2 years, and the clinical impact of dosing‐interval extension remains unclear.
Nicholas J. Campion, Dioni‐Pinelopi Petsiou, Florian C. Fally, Karina Berbalk, Noah F. Melamed, Aldine Tu, Christina Morgenstern, Fana Alem Kidane, Mohammed Zghaebi, Linda Liu, Minghao Pan, Tina J. Bartosik, Victoria Stanek, Katarina Gangl, Julia Eckl‐Dorna, Sven Schneider   +15 more
wiley   +1 more source

Location Detection of False Data Injection Attacks in Power Grid Based on Improved Deep Extreme Learning Machine

发电技术
ObjectivesPower systems are facing threats of false data injection attacks. Existing detection methods for false data injection attacks have the problems of insufficient feature learning ability and slow detection speed, making it difficult to locate ...
XI Lei, WANG Yixiao, XIONG Yahui, DONG Lu   +3 more
doaj   +1 more source

Equine models in translational medicine: A comparative approach to human health

Animal Models and Experimental Medicine, EarlyView.
This diagram summarizes and contrasts rodent and equine models, outlining their strengths, limitations, and applications. Horses offer naturally occurring diseases, genetic and physiological similarities to humans, and suitability for longitudinal and clinical‐scale studies.
Shayan Boozarjomehri Amnieh, Katarzyna Ropka‐Molik   +1 more
wiley   +1 more source

Detection method of false data injection attack based on unsupervised and supervised learning

电力工程技术
False data injection attack (FDIA) is a serious threat to the security and stable operation of smart grids. In this paper, a FDIA detection algorithm that combines unsupervised and supervised learning is proposed, solving the problems of scarce labeled ...
HUANG Dongmei, WANG Yifan, HU Anduo, ZHOU You, SHI Shuai, HU Wei   +5 more
doaj   +1 more source

Temporal Modeling of Amyloid and Tau Trajectories in Alzheimer's Disease Using PET and Plasma Biomarkers

Annals of Neurology, EarlyView.
Objective This study aimed to compare positron emission tomography (PET) and plasma‐based temporal modeling of amyloid and tau biomarkers in Alzheimer's disease. Methods Longitudinal amyloid PET (n = 1,097, mean age ± SD = 72.5 ± 7.38 year, 51.4% male), 18F‐flortaucipir tau‐PET (n = 230, 74.3 ± 7.18 year, 52.2% female), and Fujirebio Lumipulse plasma p‐
Christopher A. Brown, Katheryn A.Q. Cousins, Magdalena Korecka, Emily McGrew, Alice Chen‐Plotkin, John A. Detre, Corey T. McMillan, Edward B. Lee, Sandhitsu R. Das, Dawn Mechanic‐Hamilton, Paul A. Yushkevich, Ilya M. Nasrallah, Leslie M. Shaw, for the Alzheimer's Disease Neuroimaging Initiative, David A. Wolk   +14 more
wiley   +1 more source

Risk-Sensitive Filtering under False Data Injection Attacks

2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
Publisher Copyright: © 2024 IEEE.
Kumar Kundan, Iqbal Muhammad, Sarkka Simo   +2 more
openaire   +2 more sources

Multimorbidity and Associations with Cognition and Alzheimer's Disease Biomarkers

Annals of Neurology, EarlyView.
Objective Multimorbidity, the coexistence of 2 or more chronic conditions, has been linked to cognitive aging and Alzheimer's disease (AD) and AD‐related dementias, yet the mechanisms remain unclear. We aimed to examine the associations of multimorbidity with cognition and biomarkers across multiple mechanistic pathways.
Xiaqing Jiang, Sid E. O'Bryant, Robert A. Rissman, Leigh A. Johnson, Meredith N. Braskie, Kristine Yaffe, the HABS‐HD Study Team, Sid E. O'Bryant, Kristine Yaffe, Arthur Toga, Robert Rissman, Leigh Johnson, Meredith Braskie, Kevin King, James R. Hall, Melissa Petersen, Raymond Palmer, Robert Barber, Yonggang Shi, Fan Zhang, Rajesh Nandy, Roderick McColl, David Mason, Bradley Christian, Nicole Phillips, Stephanie Large, Joe Lee, Badri Vardarajan, Monica Rivera Mindt, Amrita Cheema, Lisa Barnes, Mark Mapstone, Annie Cohen, Amy Kind, Ozioma Okonkwo, Raul Vintimilla, Zhengyang Zhou, Michael Donohue, Rema Raman, Matthew Borzage, Michelle Mielke, Beau Ances, Ganesh Babulal, Jorge Llibre‐Guerra, Carl Hill, Rocky Vig   +45 more
wiley   +1 more source

A novel detection and defense mechanism against false data injection attack in smart grids [PDF]

, 2023
Jinlong Cui, Beibei Gao, Baojun Guo
openalex   +1 more source

Serum Proteomic Signatures of Rheumatoid Arthritis Risk and Response: Analysis of a Rheumatoid Arthritis Interception Trial

Arthritis &Rheumatology, EarlyView.
Objective Our study objective was to identify serum protein signatures associated with progression to rheumatoid arthritis (RA) and response to abatacept in at‐risk individuals. Methods A total of 440 serum samples from 118 APIPPRA (Arthritis Prevention In the Preclinical Phase of RA with Abatacept) study participants were selected from baseline to RA ...
Marianna Jasenecova, Carl Coyle, Alina Mihalovits, Sarah Ryan, Elizabeth Pook, Esperanza Perucha, Gabrielle Harker, Melody Chin, Sam Norton, Andrew P. Cope   +9 more
wiley   +1 more source

Distributed Attack-Resilient Platooning Against False Data Injection

IEEE Transactions on Vehicular Technology
This paper presents a novel distributed vehicle platooning control and coordination strategy. We propose a distributed predecessor-follower CACC scheme that allows to choose an arbitrarily small inter-vehicle distance while guaranteeing no rear-end collisions occur, even in the presence of undetected cyber-attacks on the communication channels such as ...
Lorenzo Lyons, Manuel Boldrer, Laura Ferranti   +2 more
openaire   +2 more sources