Results 161 to 170 of about 918,979 (303)

Delivery of DNA‐encoded vaccines and proteins in mice using cutaneous suction‐mediated transfection

FEBS Open Bio, EarlyView.
Cutaneous suction‐mediated transfection in mice for delivery of DNA‐encoded vaccines and proteins. A critical limitation of DNA vaccines and other therapeutics is transfection in vivo to produce the encoded antigens or therapeutic proteins. Cutaneous suction‐based methods have demonstrated effectiveness in many animal models and have been successfully ...
Emran O. Lallow, Isabel Brandtjen, Yaxin Mo, Melissa Gulley, Louis Osorio, Sagar Kudchodkar, Nandita C. Jhumur, Christine C. Roberts, Lisa K. Denzin, David I. Shreiber, Biju Parekkadan, Hao Lin, Joel N. Maslow   +12 more
wiley   +1 more source

Optimization of Proportional-Integral-Derivative Parameters for Speed Control of Squirrel-Cage Motors with Seahorse Optimization

The two different motion behaviors of seahorses in nature served as inspiration for the seahorse optimization (SHO) method, which is a new metaheuristic swarm intelligence-based approach to solving fundamental engineering problems.
Ahmet Arif Aydın, Teoman Karadağ, Yunus Emre Ekici, Ozan Akdağ   +3 more
core   +1 more source

Identification of (20R)‐protopanaxadiol from Panax ginseng as a novel anti‐SARS‐CoV‐2 compound

FEBS Open Bio, EarlyView.
We established a noninfectious BAC‐based SARS‐CoV‐2 replicon that enables antiviral screening under BSL‐2 conditions. Using this platform, we screened 373 food‐derived compounds and identified (20R)‐protopanaxadiol from Panax ginseng as a novel inhibitor of SARS‐CoV‐2 RNA replication, highlighting the value of safe replicon systems for antiviral ...
Midori Takeda, Natsue Maezono, Rina Uchikoshi, Nobuyuki Kato, Masanori Ikeda   +4 more
wiley   +1 more source

Sliding mode control gain optimization for a robot arm manipulator using an improved stochastic framework. [PDF]

Sci Rep
Tahiri H, Tahiri MA, Sayyouri M, Aldakheel EA, Khafaga DS.   +4 more
europepmc   +1 more source

Standards-based integration of advanced process control and optimization. [PDF]

J Ind Inf Integr, 2019
Shao G, Latif H, Martin-Villalba C, Denno P.   +3 more
europepmc   +1 more source

Structural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli

FEBS Open Bio, EarlyView.
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty, Kelsi R. Hall, Zachary D. Tillett, Liam S. Turk, James S. Davies, Michael J. Currie, Hamish G. Brown, Sepideh Valimehr, Peter D. Mace, Andrew E. Whitten, Santosh Panjikar, Eric Hanssen, Rachel A. North, Renwick C.J. Dobson   +13 more
wiley   +1 more source

Multivariable norm optimal iterative learning control with auxiliary optimization

, 2013
The paper describes a substantial extension of Norm Optimal Iterative Learning Control (NOILC) that permits tracking of a class of finite dimensional reference signals whilst simultaneously converging to the solution of a constrained quadratic ...
Owens, D.H., Freeman, C.T., Chu, B.
core   +1 more source

The hidden IVUS effect: a meta-epidemiological analysis of control-arm optimization and treatment-effect attenuation in contemporary IVUS-guided PCI trials. [PDF]

Eur Heart J Open
Panuccio G, Abdelwahed YS, Landmesser U, De Rosa S, Torella D.   +4 more
europepmc   +1 more source

In silico and in vitro exploration of a tyrosinase for biocatalytic production of catechols

FEBS Open Bio, EarlyView.
Tyrosinase from Ralstonia pseudosolanacearum is a promising biocatalyst for producing valuable catechols from monophenol substrates. This tyrosinase is uniquely suited to this due to its high monophenolase : diphenolase ratio. We combined in silico docking and in vivo kinetic characterisation of this tyrosinase with 11 industrially relevant monophenols,
James Britton, Fang Zhao, Reeta Davis, Meg Walsh, Kevin E O'Connor, David O'Connell, Tanja Narancic   +6 more
wiley   +1 more source

Deep Reinforcement Learning-Based Process Control in Biodiesel Production

The control of complex industrial processes has been a forefront research topic. Biodiesel production, as a typical complex industrial reaction process, exhibits multivariable coupling, nonlinearity, and high latency, making it challenging for ...
Duotao Pan, Guogang Wang, Hongyan Shi, Le Zhang   +3 more
core   +1 more source