77 research outputs found
Speciation of no-carrier-added 68Ga prior to its labeling for PET imaging
No full textRadiation, Radionulicdes and ReactorsApplied Science
Thermal tolerance of Stypocaulon-scoparium (Phaeophyta, Sphacelariales) from eastern and western shores of the North Atlantic Ocean
No full textPT: J; NR: 47; TC: 12; J9: HELGOLANDER MEERESUNTERS; PG: 11; GA: AV066Source type: Electronic(1
The quantum advantage to charging electron spin qubit batteries
No full textQuantum thermodynamics takes over from classical thermodynamics when systems are of the scale of single particles and quantum fluctuations have a noticeable effect. An interesting topic of research of this relatively new field is the quantum battery, which in this thesis consists of an array of N identical electron spin qubits. In an article by Binder et al. [4], it is proven that in theory, an N-times decrease in charging time of the battery is achieved when global operations on qubits are permitted. This thesis investigates if a similar advantage can be achieved by using a local qubitqubit interaction operator on a one-dimensional chain of exchange-coupled electron spin qubits that are driven by microwave radiation in the presence of decoherence. This system is describedby a density matrix in order to include the presence of external influences. The time-evolution of the state of the system is calculated by solving the Von-Neumann equation both analytically and numerically, which is then used to calculate the extractable work. It is shown that exchange interaction does not have a direct effect on the extractable work, since it creates entanglement between two states of the same energy level and the operator commutes with the Hamiltonian of the system. The effect of the CNOT gate on the state of the system is then investigated. While it does have an effect on the extractable work, it did not achieve a decrease in charging time. These results are only relevant for the specific system used in this thesis. For other methods and systems, exchange interaction could lead to faster charging
Analysing the implementation of the combination of ESG data, Big Data and AI within a financial institution, an explorative case study
No full textOver the last few years, regulations, changes in governance, and societal pressure have led to a push to rethink a firms’ approach to sustainability. This push created a need to place sustainability and numerous relevant technologies and approaches at the centre of the firms’ decision-making process. Within the financial industry, the combination of novel data technologies such as Big Data and Artificial Intelligence (AI) with the inclusion of sustainability, or so-called “ESG”, Environment, Social, and governance data spearpoint this new ‘sustainable’ frontier. Literature shows that the implementation of the combination of ESG data, Big Data and AI, within a financial institution and as a corporate resource is a rather novel subject, with no directly related literature available. Thus, this thesis aims to address the topic of implementing ESG data, Big Data and AI within a financial institution. The main research question answered within this thesis is set out to explore this combination of sustainability data, also known as ESG data, Big Data and AI. This study aims to provide a starting point to fill this knowledge gap by creating novel theoretical propositions to be tested in future research. The following research question has been devised to address this research problem.What observations can be extracted from assessing the introduction of a Big Data and AI toolset applying ESG data within a procedure?The main research question is answered through the use of theoretical propositions. These novel theoretical propositions illustrate key observations made during the case study. For each proposition, future research directions are given. These propositions, thus, the answer to the main research question are:- The perception within a firm of using Big Data and AI within a process could affect the learning rate and the learning approach taken by the user. This affects the acceptance of the technology. Thus, the perception could affect the adoption rate of Big Data and AI within a firm.- If Big Data and AI are used within a process, people tend to be convinced by Big Data and AI used within the process, thus Big Data and AI can be used to convince people of the validity of the results of the process.- If conferred management information is substantiated by an information process using Big Data and AI, then people do not have the tendency to acknowledge the inherent biases in such processes.- If Big Data and AI are used within a process, data quality and source are perceived as of less importance.- There could be causation between one's knowledge of Big Data and AI, and the perception of bias when assessing a process that uses Big Data and AI.- ESG data is context-dependent, illustrating that a structured or unstructured approach to ESG data depends on the application of ESG data.Management of Technology (MoT
Thermal ecotypes of amphi-Atlantic algae. 1. Algae of Arctic to cold-temperate distribution (Chaetomorpha melagonium, Devaleraea ramentacea and Phycodrys rubens )
No full textThree species of Arctic to cold-temperate amphi-Atlantic algae, all occurring also in the North Pacific, were tested for growth and/or survival at temperatures of -20 to 30 degree C. When isolates from both western and eastern Atlantic shores were tested side-by-side, it was found that thermal ecotypes may occur in such Arctic algae. Chaetomorpha melagonium was the most eurythermal of the 3 species. Isolates of this alga were alike in temperature tolerance and growth rate but Icelandic plants were more sensitive to the lethal temperature of 25 degree C than were more southerly isolates from both east and west. With regard to Devaleraea ramentacea , one Canadian isolate grew extraordinarily well at -2 and 0 degree C, and all tolerated temperatures 2-3 degree C higher than the lethal limit (18-20 degree C) of isolates from Europe. Concerning Phycodrys rubens , both eastern and western isolates died at 20 degree C.Bibliogr.: 29 ref.Source type: Electronic(1
Scaled-up radiolabelling of DOTATATE with 68Ga eluted from a SnO2-based 68Ge/68Ga generator
No full textA scaled-up radiolabelling and improved post-labelling purification procedure for [Ga-68]DOTATATE is reported, using a more than 1 year old SnO2-based 1850 MBq Ge-68/Ga-68 generator (initially double-loaded with 3700 MBq Ge-68) as a source of ionic Ga-68. The elution method of choice comprised elution with 0.6 M HCl in a single 4 mL fraction, containing up to 95% of the total eluted Ga-68 activity. The unpurified fraction was directly used for labelling after pH adjustment with 2.5 M sodium acetate. Labelling efficiencies were determined at 90-95 degrees C at various reaction times and reaction volumes of up to 5.7 mL, using either 30 mu g or 50 mu g DOTATATE. Only the latter amount resulted in consistently high labelling efficiency in excess of 95%. Post-labelling purification, carried out on Sep-Pak C18, showed that 50% ethanol in saline was a superior desorption eluant than 100% ethanol. The highest and most consistent decay-corrected radiochemical yields (89%) were obtained using 50 mu g DOTATATE and a 20 min reaction time. (C) 2011 Elsevier Ltd. All rights reserved
MIMO identification techniques and software development in the frequency domain for helicopter and flexible aircraft - Technical results 1994
No full textAerospace Engineerin
Identification of SA-330 PUMA dynamic models from flight test data in frequency domain
No full textAerospace Engineerin
MIMO identification techniques and software development in the frequency domain for helicopter and flexible aircraft - Progress report 1994
No full textAerospace Engineerin
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