Results 141 to 150 of about 75,023 (258)

Sulfate limitation increases specific plasmid DNA yield and productivity in E. coli fed-batch processes. [PDF]

Microb Cell Fact, 2023
Gotsmy M, Strobl F, Weiß F, Gruber P, Kraus B, Mairhofer J, Zanghellini J.   +6 more
europepmc   +1 more source

Non‐Noble Metal Nanocatalysts for Hydrogen Evolution

Advanced Science, EarlyView.
Recent overviews and latest developments of diverse classes of non‐noble catalysts for application toward high‐performance photocatalysis, thermocatalytic steam reforming, and electrocatalysis. Toward sustainability objectives, several advanced characterization tools in combination with the latest breakthroughs in machine learning for material ...
Lina Jaya Diguna, Gede Herry Arum Wijaya, Md Abdul Kuddus Sheikh, Tobias Haposan, Fidelis Stefanus Hubertson Simanjuntak, Arramel Arramel, Muhammad Danang Birowosuto, Konstantin Sergeevich Novoselov   +7 more
wiley   +1 more source

Fedbatchdesigner: A User-Friendly Dashboard for Modeling and Optimizing Growth-Arrested Fed-Batch Processes. [PDF]

ACS Synth Biol
Graf AC, Libiseller-Egger J, Gotsmy M, Zanghellini J.   +3 more
europepmc   +1 more source

Hardware‐Attentive Programmable Fourier Ptychography Enables Task‐Adaptive Label‐Free Virtual Staining

Advanced Science, EarlyView.
Task‐adaptive programmable optics enables label‐free virtual staining through optical‐attention‐guided acquisition and reconstruction. By optimizing wavelength, illumination angle, exposure time, and imaging depth, the framework learns task‐relevant optical measurements, generating clinically interpretable virtual stains with improved fidelity, non ...
Tianyue He, Wenyi Jing, Le Zhang, Qican Zhang, Tingdong Kou, Xin He, Yan Qiu, Yang Lu, Jian Cui, Yongfu Wen, Zhenrong Zheng, Hongying Zhang, Dayong Jin, Junfei Shen   +13 more
wiley   +1 more source

The dynamic growth of bacterial cultures: real-time Bayesian estimation of substrate uptake rates in fed-batch fermentations of E. coli. [PDF]

Bioprocess Biosyst Eng
Ibaceta M, Neudert MR, Marques N, Kahrer S, Herwig C, Steinboeck A.   +5 more
europepmc   +1 more source

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

Advanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

Reactor-based approach for achieving high-silica zeolites: a fed-batch strategy.

J Mater Chem A Mater
Javdani A, Ivanushkin G, Sajid A, Khan IA, Khalil I, Herrero P, Ke Q, Deneyer A, Dusselier M.   +8 more
europepmc   +1 more source

Scale-up of a monoclonal antibody CHO fed-batch production in stirred tank bioreactors: Effect of hydrodynamic conditions and feeding regimen. [PDF]

Biotechnol Prog
Lemire L, Reyes SJ, Durocher Y, Voyer R, Henry O, Pham PL.   +5 more
europepmc   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Small-scale fed-batch cultivations of Vibrio natriegens: overcoming challenges for early process development. [PDF]

Bioprocess Biosyst Eng
Lüchtrath C, Forsten E, Polis R, Hoffmann M, Genis AS, Kuhn AL, Hövels M, Deppenmeier U, Magnus J, Büchs J.   +9 more
europepmc   +1 more source