Results 161 to 170 of about 6,701,398 (347)

Scale‐up of Streptomyces species cultivations based on the morphological response to the energy dissipation rate

AIChE Journal, EarlyView.
Abstract Filamentous microorganisms exhibit complex morphologies that influence product formation and are affected by various bioprocess parameters. Consistent morphology is therefore essential for comparable results during scale‐up. This study investigates the scale‐up of Streptomyces species (Streptomyces spp.) cultivations from shake flasks to ...
Gesa Brauneck, Anton Brass, Artiom Boreiko, Marvin Ueßeler, Marcel Mann, Johannes Pastoors, Valentin Steier, Philipp Eibl, Christian Witz, Dorothea M. Schütterle, Ivan Schlembach, Miriam A. Rosenbaum, Jorgen Magnus   +12 more
wiley   +1 more source

Correction: Neuroadaptive changes in brain structural-functional coupling among pilots. [PDF]

Front Neurosci
Chen X, Meng Q, Song Q, Xu P, Zhang S, Huang D, Chu Q, Fan J, Luo C, Li X.   +9 more
europepmc   +1 more source

Under the Enemy Flag: Prisoner of War Experiences: An Interview with Angela Zombek and Michael Gray

, 2018
Over the course of this year, we’ll be interviewing some of the speakers from the upcoming 2018 CWI conference about their talks. Today we are speaking with Angie Zombek, Assistant Professor of History at St. Petersburg College. Dr.
Luskey, Ashley Whitehead
core  

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Institutional Sources of Change in the Formal Structure of Organizations: The Diffusion of Civil Service Reform, 1880-1935

, 1983
Pamela S. Tolbert, L. Zucker
semanticscholar   +1 more source

Eliminating ghost workers and optimizing resources to strengthen Community Health Worker programs in sub-Saharan Africa. [PDF]

PLoS Med
Ayehu T, Joekai JF, Yorgbor MK, Clark ET, Jacobs GP, Brooks-Jarrett CE, Wiah SO, Fatoumata S, Dialo M, Frederic LD, Kamara BO, Williams CEE, Kamara MST, Beckhio M, Marcelin AA, Mbrenga NC, Edouard B, Theirry S, Emery H, Dushime T, Barry H, Getahun H.   +21 more
europepmc   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Correction: Experimental and machine learning-based analysis of red mud influence on recycled aggregate concrete properties. [PDF]

Sci Rep
Haider I, Ali T, Qureshi MZ, Kahla NB, Mabrouk A, Alaneme GU, Ajwad A.   +6 more
europepmc   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source

Harnessing civil society to promote social inclusion of people with severe mental illness. [PDF]

World Psychiatry
Whitley R.
europepmc   +1 more source