Results 121 to 130 of about 4,106,379 (247)

The Comprehensive Live Cell‐Based Cytotoxicity Assay for Monitoring Disease Activity and Guiding Rescue Therapy in Acute Attacks of NMOSD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neuromyelitis optica spectrum disorder (NMOSD) is a devastating neurological disease that lacks serological biomarkers that can accurately reflect disease activity. We established a live cell‐based assay (LCBA) using serum with endogenous complement to quantify the overall cytotoxicity, offering a novel functional tool for monitoring
Xiaona Xu, Jie Ding, Yupeng Du, Guibao Luo, Jinming Li, Rui Liu, Xiaoyi Xu, Xiao Li, Minshu Li, Wei Jiang, Chunsheng Yang   +10 more
wiley   +1 more source

Report of the Energy Efficiency Board. 2012.

, 2013
Annual; Began with 2010.; At head of title: Connecticut Energy Efficiency ...
Connecticut. Energy Efficiency Board.
core  

On the heating efficiency derived from observations of young super star clusters in M82 [PDF]

, 2009
Here, we discuss the mechanical feedback that massive stellar clusters provide to the interstellar medium of their host galaxy. We apply an analytic theory developed in a previous study for M82-A1 to a sample of 10 clusters located in the central zone of
GUILLERMO TENORIO TAGLE, SERGIY SILICH, ANA PATRICIA TORRES CAMPOS LICASTRO   +2 more
core  

The Heating Efficiency and Imaging Performance of Magnesium Iron Oxide@tetramethyl Ammonium Hydroxide Nanoparticles for Biomedical Applications. [PDF]

Nanomaterials (Basel), 2021
Darwish MSA, Kim H, Bui MP, Le TA, Lee H, Ryu C, Lee JY, Yoon J.   +7 more
europepmc   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Energy Efficiency Board 2019 programs and operations report.

, 2020
Annual; Began with 2010; ceased with 2011.; At head of title: Connecticut Energy Efficiency ...
Connecticut. Energy Efficiency Board.
core  

Solar Heating, Cooling and Power Generation — Current Profiles and Future Potentials

, 2019
Due to the large amount of consumption of the fossil fuels, the ecological environment has suffered serious pollution and damage. Solar power technologies provide the best solution to the current energy and environment issues.
He, W., Zhang, Xingxing,
core   +1 more source

Comparative assessment of ohmic, induction, and electric coil heating on thermal kinetics, energy efficiency, and quality attributes of cow milk

Applied Food Research
Electrical heating methods are increasingly recognized as efficient alternatives to conventional thermal processing, although their effectiveness depends on process control and product characteristics.
Mukul Sain, P.S. Minz, Ankit Bihola, Anil Kumar Puniya, Arijit Ray, Hima John, Chitranayak Sinha, Shaikh Adil   +7 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source