Results 21 to 30 of about 7,140,468 (314)
Bacillus velezensis ST03 and ST32, Bacillus amyloliquefaciens ST06 and ST109, and Bacillus subtilis ST08 were isolated from artisanal-produced kimchi and were identified based on 16S rRNA partial sequencing.
Joanna Ivy Irorita Fugaban +3 more
doaj +1 more source
Three out of one hundred eighty putative LAB isolates from Korean traditional fermented soybean paste were identified to be unique and bacteriocinogenic strains.
Joanna Ivy Irorita Fugaban +3 more
doaj +1 more source
Combined Action of Antibiotics and Bacteriocins against Vancomycin-Resistant Enterococci
Antibiotics have been one of the most important discoveries in the area of applied medical microbiology; however, as a result of various factors, we are currently facing a dramatic and relatively dangerous increase in the number of cases of antibiotic ...
Jorge Enrique Vazquez Bucheli +3 more
doaj +1 more source
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies [PDF]
Policy gradient (PG) methods are a widely used reinforcement learning methodology in many applications such as video games, autonomous driving, and robotics.
K. Zhang +3 more
semanticscholar +1 more source
Toward Moderate Overparameterization: Global Convergence Guarantees for Training Shallow Neural Networks [PDF]
Many modern neural network architectures are trained in an overparameterized regime where the parameters of the model exceed the size of the training dataset.
Samet Oymak, M. Soltanolkotabi
semanticscholar +1 more source
Policy Optimization for H2 Linear Control with H∞ Robustness Guarantee: Implicit Regularization and Global Convergence [PDF]
Policy optimization (PO) is a key ingredient for reinforcement learning (RL). For control design, certain constraints are usually enforced on the policies to optimize, accounting for either the stability, robustness, or safety concerns on the system ...
K. Zhang, Bin Hu, T. Başar
semanticscholar +1 more source
ADMM for Efficient Deep Learning with Global Convergence [PDF]
Alternating Direction Method of Multipliers (ADMM) has been used successfully in many conventional machine learning applications and is considered to be a useful alternative to Stochastic Gradient Descent (SGD) as a deep learning optimizer.
Junxiang Wang +3 more
semanticscholar +1 more source
The COVID-19 pandemic brought tremendous pressure to the African continent's health sector, particularly in rural areas. Rural healthcare facilities experienced severe energy shortages due to the influx of Covid-19 patients, which strained their ...
Abdulfatai Olatunji Yakub +5 more
doaj +1 more source
Mucosal tissues serve as the first defense line and their commensal microbiota play a role in sustaining of host health. This study aimed to isolate and evaluate a putative probiotic strain on various mucosal regions.
Hye-Shin Kim +6 more
doaj +1 more source
The recent use of hybrid renewable energy systems (HRESs) is considered one of the most reliable ways to improve energy access to decentralized communities because of their techno-economic and environmental benefits.
Noel Ngando Same +6 more
doaj +1 more source

