Results 201 to 210 of about 15,076 (300)

Sensitivity of Risk‐Based Demand Curves to Analytical Fragility Function Fitting Using Multiple‐Stripe Analyses

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Risk‐based seismic assessments using demand curves that provide mean annual exceedance rates for various system demand levels are increasingly being adopted. Such assessments combine the seismic hazard curve with fragility functions for each demand level, serving as a basis to quantify the average annual losses from system damage. Constructing
Zeyad Khalil, Peter J. Stafford, Ahmed Y. Elghazouli   +2 more
wiley   +1 more source

Pneumatization of All Turbinates: A Very Rare Entity

Ear, Nose & Throat Journal, 2020
Mümtaz Taner Torun MD, Engin Başer MD, Tuncay Taniş MD, Hatice Selçuk Kuşderci MD   +3 more
doaj   +1 more source

The ORF6 accessory protein contributes to SARS-CoV-2 virulence and pathogenicity in the naturally susceptible feline model of infection. [PDF]

J Virol
Nooruzzaman M, Butt SL, Rani R, Ye C, Miller AD, Martinez-Sobrido L, Fang Y, Diel DG.   +7 more
europepmc   +1 more source

Modeling and Power Regulation Strategy of Variable‐Speed Pumped Storage Unit With Full‐Size Converter in Pump Mode

Energy Science &Engineering, EarlyView.
A numerical model of variable‐speed pumped storage unit (VSPSU) with full‐size converter (FSC) under fast speed control strategy is established. Additionally, the correctness of the model was validated by comparing with SIMSEN simulation results and text prototype data from NARI.
Weijia Yang, Peilin Wu, Zixuan Shao, Yiwen Liao, Yufei Teng, Huabo Shi   +5 more
wiley   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Multi-antigen MVA-vectored SARS-CoV-2 vaccine, GEO-CM04S1, induces cross-protective immune responses to ancestral and Omicron variants. [PDF]

Front Immunol
Elsharkawy A, Stone S, Guglani A, Wussow F, Burleson JD, Hauser M, Domi A, Kumari P, Albrecht TR, Dim C, Newman M, Diamond DJ, Oruganti SR, Kumar M.   +13 more
europepmc   +1 more source

Integrated Flue‐Gas Heat Recovery for Optimized Steam and Power Generation Using Organic Rankine Cycle (ORC): A Technical and Economic Assessment

Energy Science &Engineering, EarlyView.
Integration of a steam cycle with an existing gas turbine increased efficiency from 32% to 51%, reducing fuel consumption by 21.4% and CO2 emissions by 18.6%. The modification generated USD 13.9 million annual savings and lowered the Levelized Cost of Energy to 38.7 USD/MWh, with a 3‐year payback.
Vahid Pirouzfar, Anashe Aghajani, Chia‐Hung Su   +2 more
wiley   +1 more source

Combined azelastine fluticasone nasal spray versus fluticasone propionate nasal spray in postoperative management of central compartment atopic disease (CCAD). [PDF]

Front Pharmacol
Elwany S, Ibrahim AA, Elwany M, Tousson-Abouelazm N, Kholief A.   +4 more
europepmc   +1 more source

Intelligent Control Framework of District Heating Systems Considering Waste Heat Utilization in Data Centers

Energy Science &Engineering, EarlyView.
A deep reinforcement learning–based control architecture is proposed to coordinate heat pumps, thermal storage, renewable energy, and demand response in data center waste heat recovery systems. The agent learns optimal control actions from system states and reward feedback to achieve electrical–thermal co‐optimization under realistic operational ...
Rendong Shen, Ruifan Zheng, Shengyuan Zhong, Lei Gu, Dongfang Yang, Jun Zhao   +5 more
wiley   +1 more source

Comparison of SARS-CoV-2 variant pathogenicity in a long-COVID Syrian hamster model. [PDF]

Virus Res
Naghibosadat M, Hahn E, Molinaro S, Babuadze G, Kozak R.   +4 more
europepmc   +1 more source