Results 51 to 60 of about 162,147 (257)

Galileo and EGNOS as an asset for UTM safety and security [PDF]

, 2019
GAUSS (Galileo-EGNOS as an Asset for UTM Safety and Security) is a H2020 project1 that aims at designing and developing high performance positioning systems for drones within the U-Space framework focusing on UAS (Unmanned Aircraft System) VLL (Very Low ...
Andrade-Cetto, Juan, Capitan, Carlos, Dontas, Ioannis, Jia, Huamin, Jimenez, Adrian, Kostaridis, Antonis, Oliveres, Enric, Tesfai, Ivan   +7 more
core  

Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes

FEBS Open Bio, EarlyView.
We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde, Unai Alduntzin, Gorka Prieto, Ugo Mayor   +3 more
wiley   +1 more source

Production of Phase Screens for Simulation of Atmospheric Turbulence

, 2012
The ability to simulate atmospheric turbulence in the lab is a crucial part of testing and developing astronomical adaptive optics technology. We report on the development of a technique for creating phase plates, which involves the strategic application
Dillon, Daren, Gavel, Don, Rampy, Rachel, Thomas, Sandrine   +3 more
core   +1 more source

Copy Number Variants and Their Association With Intracerebral Hemorrhage Risk: A Case–Control Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Intracerebral Hemorrhage (ICH) is a leading cause of morbidity and mortality worldwide and lacks effective therapeutic interventions. Despite previous studies, the genetic underpinnings of ICH remain poorly understood. We sought to investigate the role of copy number variants (CNVs) in ICH pathophysiology to identify novel ...
Savvina Prapiadou, Carl D. Langefeld, Padmini Sekar, Mary Comeau, Timothy Howard, Tamara N. Kimball, Chen Bowang, Hyacinth I. Hyacinth, Jonathan Rosand, Christopher D. Anderson, Caspar Grond‐Ginsbach, Daniel Woo, Stacie L. Demel   +12 more
wiley   +1 more source

Video analysis of events within chemical sensor networks [PDF]

, 2005
This paper describes how we deploy video surveillance techniques to monitor the activities within a sensor network in order to detect environmental events.
Beirne, Stephen, Cooke, Eddie, Corcoran, Brian, Diamond, Dermot, O'Connor, Noel E., Shepherd, Roderick, Smeaton, Alan F.   +6 more
core  

On-the-fly Data Assessment for High Throughput X-ray Diffraction Measurement

, 2017
Investment in brighter sources and larger and faster detectors has accelerated the speed of data acquisition at national user facilities. The accelerated data acquisition offers many opportunities for discovery of new materials, but it also presents a ...
Hexemer, Alexander, Mehta, Apurva, Pandolfi, Ronald, Ren, Fang, Van Campen, Douglas   +4 more
core   +2 more sources

Real‐World Investigation of Satralizumab in Patients With Neuromyelitis Optica Spectrum Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Satralizumab, a monoclonal antibody targeting the interleukin‐6 receptor, has demonstrated efficacy in clinical trials for neuromyelitis optica spectrum disorder (NMOSD). However, its real‐world effectiveness and safety compared to conventional immunosuppressive therapies remain uncertain.
Li‐Tsung Lin, Hui‐An Lin, Sheng‐Feng Lin   +2 more
wiley   +1 more source

Chilli-YOLO: An Intelligent Maturity Detection Algorithm for Field-Grown Chilli Based on Improved YOLOv10 [PDF]

智慧农业
[Objective] In modern agriculture, the rapid and accurate detection of chillies at different maturity stages is a critical step for determining the optimal harvesting time and achieving intelligent sorting of field-grown chillies.
SI Chaoguo, LIU Mengchen, WU Huarui, MIAO Yisheng, ZHAO Chunjiang
doaj   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Reduced Muscular Carnosine in Proximal Myotonic Myopathy—A Pilot 1H‐MRS Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Myotonic dystrophy type 2 (proximal myotonic myopathy, PROMM) is a progressive multisystem disorder with muscular symptoms (proximal weakness, pain, myotonia) and systemic manifestations such as diabetes mellitus, cataracts, and cardiac arrhythmias.
Alexander Gussew, Maryam Kargaran, Maik Rothe, Andreas Deistung, Dietrich Stoevesandt, Walter A. Wohlgemuth, David Strube, Thomas Kendzierski, Anna Katharina Kölsch, Maurits Gerhard Abraham Heuschen, Markus Otto, Alexander Mensch   +11 more
wiley   +1 more source