Results 41 to 50 of about 98,954,750 (292)
LuxS-independent formation of AI-2 from ribulose-5-phosphate [PDF]
Abstract Background In many bacteria, the signal molecule AI-2 is generated from its precursor S-ribosyl-L-homocysteine in a reaction catalysed by the enzyme LuxS. However, generation of AI-2-like activity has also been reported for organisms lacking the luxS gene and the existence of alternative pathways for AI-2 ...
Hardie Kim R +3 more
openaire +3 more sources
<p>Changes:</p> <ul> <li>Fix a bug related to the <code>rules.json</code> path when running from package (<a href="https://github.com/AI-SDC/AI-SDC/pull/247">#247</a>)</li> <li>Update user ...
Albashir, Maha +8 more
core +1 more source
Safe reinforcement learning for multi-energy management systems with known constraint functions
Reinforcement learning (RL) is a promising optimal control technique for multi-energy management systems. It does not require a model a priori - reducing the upfront and ongoing project-specific engineering effort and is capable of learning better ...
Glenn Ceusters +4 more
doaj +1 more source
LsrB-based and temperature-dependent identification of bacterial AI-2 receptor [PDF]
The luxS gene is required for autoinducer-2 (AI-2) synthesis in many bacterial species. AI-2 is taken up by a specific receptor to regulate multiple bacterial activities. However, the lack of methods to identify AI-2 receptors has impeded investigations into the roles of AI-2.
Yuxi Zhang +10 more
openaire +3 more sources
Viewpoint: When will AI exceed human performance? Evidence from AI experts [PDF]
Advances in artificial intelligence (AI) will transform modern life by reshaping transportation, health, science, finance, and the military. To adapt public policy, we need to better anticipate these advances.
Мак- Ґатус, Е. +3 more
core +1 more source
Stability analysis of reinforced soil slopes based on observation of reinforcement-effected strip
In order to observe the effected strip of geogrid-reinforcement, a series of geogrid pull-out tests are conducted in a test box which has one Plexiglas wall, applied 4 different vertical pressures on each specimen prepared respectively with 6 granular ...
HU You-chang 1, JIN Shao-wei 1, SONG Liang 2, MAO Ai-min 2, LIU Jie 2
doaj +1 more source
ABSTRACT Background Outcomes in relapsed or refractory pediatric and AYA bone sarcomas remain poor, and the impact of early referral to specialized sarcoma centers on survival is unclear. Early centralization of care may improve local and systemic treatment quality, but evidence in this population is limited.
Justyna Antoniuk‐Majchrzak +9 more
wiley +1 more source
Emotion Recognition Using PPG Signals of Smartwatch on Purpose of Threat Detection
This paper proposes a machine learning approach to detect threats using short-term PPG (photoplethysmogram) signals from a commercial smartwatch. In supervised learning, having accurately annotated training data is essential.
Gyuwon Hwang, Sohee Yoo, Jaehyun Yoo
doaj +1 more source
ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques +5 more
wiley +1 more source
One-dimensional electroosmosis consolidation model considering variable saturation
The existing models for electroosmosis are based on the hypothesis of fully saturated soil regime. Variable saturation occurs in the soil regime, thus a new model is expected to improve the calculation accuracy.
ZHOU Ya-dong 1, 2, DENG An 3, LIU Zhong-xian 1, 2, YANG Ai-wu 1, 2, ZHANG Hai 1, 2
doaj +1 more source

