Results 171 to 180 of about 3,573,175 (345)

Marching in Step: USCT Veterans and the Grand Army of the Republic

, 2017
For many United States Colored Troops, remembering the Civil War and their comrades who fell in it became an important part of their post-war life. One of the primary opportunities for public expression of remembrance was Decoration Day, now known as ...
Bilger, Ryan
core  

Asking the 5 W's for designing next‐generation bioprocessing

AIChE Journal, EarlyView.
Abstract Biotechnology is expanding beyond traditional, centralized fermentation and toward next‐generation bioprocessing paradigms that emphasize flexible deployment outside the laboratory with application‐specific performance. However, many bioprocesses fail to translate beyond proof‐of‐concept into industrially viable systems because early design ...
Sangdo Yook, Karoline Maria Vieira Nogueira, Raj Sukumar, Jenna Miller, Hal S. Alper   +4 more
wiley   +1 more source

Prevalence, aetiology, vaccination coverage and spatio-temporal pattern among patients admitted with acute bacterial meningitis to the sentinel hospital surveillance network in Yemen, 2014-20, before and during the civil war. [PDF]

Int J Epidemiol, 2023
Al-Samhari GA, Al-Mushiki GM, Tamrakar R, Lin YD, Al-Shaebi F, Akroot MA, Al-Nahari SA, Li GJ, Tang XY.   +8 more
europepmc   +1 more source

Spotsylvania Undercover: An Interview with Dr. Keith Bohannon

, 2014
Dr. Keith Bohannon, one of this summer’s Civil War Institute Conference speakers, is an Associate Professor dealing in the subjects of the American Civil War, Reconstruction, Southern U.S.
Johnson, S. Marianne
core  

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

Traumatic injuries and outcomes during the Libyan Civil War: a systematic review. [PDF]

BMJ Mil Health
Abdulshafea M, Di Pietro V, Naumann D, Ahmed Z.   +3 more
europepmc   +1 more source

Urological injuries in the civil war of Libya. [PDF]

Ulus Travma Acil Cerrahi Derg, 2022
Onuk Ö, Çilesiz NC, Özkan A, Zarbaliyev E, Dayıoğlu N, Nuhoğlu B.   +5 more
europepmc   +1 more source

New Semester, New Stories...

, 2014
Greetings, fellow Civil Warriors! As Managing Editor of the Civil War Institute’s student blog, The Gettysburg Compiler, I would like to welcome everyone to a new semester of exciting debate, original research, academic discourse, and on-site reporting ...
Clancy, Heather L.
core  

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

Non-invasive image study of bone bioerosion in Spanish Civil War lime graves. [PDF]

Sci Rep
Gutiérrez A, Rey-Rodríguez I, Macho-Callejo A, Armentano N, Fernández-Jalvo Y.   +4 more
europepmc   +1 more source