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Institution

Tallinn University of Technology

EducationTallinn, Estonia
About: Tallinn University of Technology is a education organization based out in Tallinn, Estonia. It is known for research contribution in the topics: European union & Oil shale. The organization has 3688 authors who have published 10313 publications receiving 145058 citations. The organization is also known as: Tallinn Technical University & Tallinna Tehnikaülikool.


Papers
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Journal ArticleDOI
TL;DR: A quantitative analysis of transfer efficiencies of building blocks, as they are used for typical 3D experiments, was performed and six experiments were selected to optimally assign the model protein ubiquitin, solely using spectra acquired at 93 kHz MAS.
Abstract: We discuss the optimum experimental conditions to obtain assignment spectra for solid proteins at magic-angle spinning (MAS) frequencies around 100 kHz We present a systematic examination of the MAS dependence of the amide proton T 2′ times and a site-specific comparison of T 2′ at 93 kHz versus 60 kHz MAS frequency A quantitative analysis of transfer efficiencies of building blocks, as they are used for typical 3D experiments, was performed To do this, we compared dipolar-coupling and J-coupling based transfer steps The building blocks were then combined into 3D experiments for sequential resonance assignment, where we evaluated signal-to-noise ratio and information content of the different 3D spectra in order to identify the best assignment strategy Based on this comparison, six experiments were selected to optimally assign the model protein ubiquitin, solely using spectra acquired at 93 kHz MAS Within 3 days of instrument time, the required spectra were recorded from which the backbone resonances have been assigned to over 96 %

83 citations

Journal ArticleDOI
TL;DR: In this article, the processes required to utilize lignocellulosic biomass (LCB) for production of PHA are covered in this review including pretreatment, hydrolysis, fermentation, and the associated difficulties during the process development.
Abstract: Polyhydroxyalkanoates (PHAs) are one of the most promising, degradable and eco-friendly alternatives to fossil fuel-based plastic. Nevertheless, PHA derived from edible sources is a relatively easier process than using other resources. Cost of raw material is being considered as a significant constraint for sustainability of industrial bioplastic production. In recent days, lignocellulosic biomass (LCB) in the form of waste residue generated from agriculture, forestry, energy crop system, marine biomass, industrial and municipal solid waste has gained great attention as it is the most abundant feedstock worldwide and supports the sustainable production of PHA. However, the conversion efficiency and PHA yield vary significantly based on the source and nature of LCB due to their content distinction. The complex structure of LCB, mainly composed of cellulose, hemicellulose, and lignin, makes it challenging to be depolymerized. Therefore, the processes required to utilize LCB for production of PHA are covered in this review including pretreatment, hydrolysis, fermentation, and the associated difficulties during the process development. In addition, several attempts made to exploit LCB as a feedstock for PHA production were also discussed in order to improve the overall conversion process.

83 citations

Journal ArticleDOI
TL;DR: This review is focused on the analysis of the structural and functional properties of copper chaperones and their partners, which allowed us to define specific regulatory principles in copper metabolism connected with copper‐induced conformational control of copper proteins.

83 citations

Journal ArticleDOI
TL;DR: The importance of autophagy and its relevance in the pathogenesis and treatment of cancer and the challenges associated with harnessing the autophagic potential of phytochemicals for cancer therapy are highlighted.

83 citations

Journal ArticleDOI
TL;DR: In this article, the impact of wake wash from high-speed ferries on the coastal environment in non-tidal seas is analyzed in terms of wave energy and power, and properties of the largest waves.
Abstract: The impact of wake wash from high-speed ferries on the coastal environment in non-tidal seas is analysed in terms of wave energy and power, and properties of the largest waves. Shown is that hydrodynamic loads caused by heavy high-speed traffic may play a decisive role not only in low-energy coasts but also in certain areas with high wind wave activity. For example, ship-generated waves form, at least, about 5–8% from the total wave energy and about 18–35% from the wave power in the coastal areas of Tallinn Bay exposed to dominating winds. The periods of wake waves from high-speed ships frequently are much larger than dominating periods of wind waves. The leading waves typically have a height of about 1 m and a period of 10–15 s. Such waves extremely seldom occur in natural conditions in many regions of semi-enclosed seas. They cause unusually high hydrodynamic loads in the deeper part of the nearshore. The fast ferry traffic thus is a qualitatively new forcing component of vital impact on the local ecosystem. It is demonstrated that wakes from high-speed ferries may trigger considerable changes of the existing balance of coastal processes. Owing to their low decay rates combined with their exceptional compactness after crossing many kilometres of the sea surface, such wakes may cause considerable remote impact of the ship traffic. This feature has to be addressed in the analysis of the impact of harbours and associated ship traffic in the neighbourhood of vulnerable areas.

83 citations


Authors

Showing all 3757 results

NameH-indexPapersCitations
James Chapman8248336468
Alexandre Alexakis6754017247
Bernard Waeber5637035335
Peter A. Andrekson5457312042
Charles S. Peirce5116711998
Lars M. Blank493018011
Fushuan Wen494659189
Mati Karelson4820710210
Ago Samoson461198807
Zebo Peng453597312
Petru Eles443006749
Vijai Kumar Gupta433016901
Eero Vasar432636930
Rik Ossenkoppele421926839
Tõnis Timmusk4110511056
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202342
2022107
2021883
2020951
2019882
2018745