Marine biofouling and its control: State-of-the-art and future prospects

1990 ◽  
pp. 221-235 ◽  
Author(s):  
L. V. Evans
Keyword(s):  
State Of The Art ◽  
Future Prospects ◽  
Marine Biofouling ◽  
Control State

Biological Production of (S)-acetoin: A State-of-the-Art Review

2019 ◽  
Vol 19 (25) ◽  
pp. 2348-2356 ◽  
Author(s):  
Neng-Zhong Xie ◽  
Jian-Xiu Li ◽  
Ri-Bo Huang
Keyword(s):  
Side Effects ◽  
Chemical Synthesis ◽  
State Of The Art ◽  
Optically Active ◽  
Considerable Progress ◽  
Future Prospects ◽  
Chiral Compound ◽  
Biological Production ◽  
Acetoin Production ◽  
Made In

Acetoin is an important four-carbon compound that has many applications in foods, chemical synthesis, cosmetics, cigarettes, soaps, and detergents. Its stereoisomer (S)-acetoin, a high-value chiral compound, can also be used to synthesize optically active drugs, which could enhance targeting properties and reduce side effects. Recently, considerable progress has been made in the development of biotechnological routes for (S)-acetoin production. In this review, various strategies for biological (S)- acetoin production are summarized, and their constraints and possible solutions are described. Furthermore, future prospects of biological production of (S)-acetoin are discussed.

scholarly journals Quantum Computing for Finance: State-of-the-Art and Future Prospects

2020 ◽  
Vol 1 ◽  
pp. 1-24
Author(s):  
Daniel J. Egger ◽  
Claudio Gambella ◽  
Jakub Marecek ◽  
Scott McFaddin ◽  
Martin Mevissen ◽  
...  
Keyword(s):  
Quantum Computing ◽  
State Of The Art ◽  
Future Prospects

ChemInform Abstract: Hydrothermal Liquefaction (HTL) of Microalgae for Biofuel Production: State of the Art Review and Future Prospects

ChemInform ◽  
2014 ◽  
Vol 45 (16) ◽  
pp. no-no
Author(s):  
Diego Lopez Barreiro ◽  
Wolter Prins ◽  
Frederik Ronsse ◽  
Wim Brilman
Keyword(s):  
State Of The Art ◽  
Hydrothermal Liquefaction ◽  
Biofuel Production ◽  
Future Prospects

Research on automatic irrigation control: State of the art and recent results

2012 ◽  
Vol 114 ◽  
pp. 59-66 ◽  
Author(s):  
R. Romero ◽  
J.L. Muriel ◽  
I. García ◽  
D. Muñoz de la Peña
Keyword(s):  
State Of The Art ◽  
Irrigation Control ◽  
Control State

scholarly journals Retinopathy of prematurity and retinoblastoma: materials of the scientific and practical conference

2019 ◽  
Vol 12 (3) ◽  
pp. 58-75
Author(s):  
Artiсle Editorial
Keyword(s):  
Retinopathy Of Prematurity ◽  
State Of The Art ◽  
Eye Diseases ◽  
Great Success ◽  
Controversial Issues ◽  
Pediatric Ophthalmology ◽  
Future Prospects ◽  
National Medical ◽  
International Participation ◽  
Practical Conference

On April 4–5, 2019, the Russian Helmholtz National Medical Research Center of Eye Diseases held a scientific and practical conference with international participation «Retinopathy of prematurity and retinoblastoma 2019». The conference, which became a platform for discussion of the most acute and burning issues of pediatric ophthalmology, was a great success. The proceedings reflect the state-of-the-art in the treatment of infants and children with retinopathy of prematurity and retinoblastoma, new technical and methodological solutions, controversial issues, and future prospects.

scholarly journals Demand Prediction with Machine Learning Models; State of the Art and a Systematic Review of Advances

2019 ◽  
Author(s):  
Amir Mosavi ◽  
Sina Faizollahzadeh Ardabili ◽  
Shahabodin Shamshirband
Keyword(s):  
Machine Learning ◽  
Energy Production ◽  
Production Management ◽  
Prediction Models ◽  
State Of The Art ◽  
Electricity Demand ◽  
Original Research ◽  
Review Of The Literature ◽  
Future Prospects ◽  
Demand Prediction

Electricity demand prediction is vital for energy production management and proper exploitation of the present resources. Recently, several novel machine learning (ML) models have been employed for electricity demand prediction to estimate the future prospects of the energy requirements. The main objective of this study is to review the various ML models applied for electricity demand prediction. Through a novel search and taxonomy, the most relevant original research articles in the field are identified and further classified according to the ML modeling technique, perdition type, and the application area. A comprehensive review of the literature identifies the major ML models, their applications and a discussion on the evaluation of their performance. This paper further makes a discussion on the trend and the performance of the ML models. As the result, this research reports an outstanding rise in the accuracy, robustness, precision and the generalization ability of the prediction models using the hybrid and ensemble ML algorithms.

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