41 research outputs found
Jupiter Icy Moons Explorer (JUICE): Science Objectives, Mission and Instruments (abstract)
No full textThe JUpiter ICy Moons Explorer (JUICE) is a European Space Agency mission that will fly by and observe the Galilean satellites Europa, Ganymede and Callisto, characterize the Jovian system in a lengthy Jupiter-orbit phase, and ultimately orbit Ganymede for in-depth studies of habitability, evolution and the local environment [1].Space EngineeringAerospace Engineerin
Avoidability index for binary patterns with reversal
No full textFor every pattern p over the alphabet {x, x^R, y, y^R}, we specify the least k such that p is k-avoidable.The first author was supported by an NSERC Discovery Grant, and also by Deutsche Forschungsge-meinschaft, which supported him through its Mercator program. The second author was supported through the NSERC USRA program.http://www.combinatorics.org/ojs/index.php/eljc/article/view/v23i1p3
Data from : The SAMI Galaxy Survey: reconciling strong emission line metallicity diagnostics using metallicity gradients
No full text<b>External Organisations</b><br/>ARC Centre of Excellence for All-sky Astrophysics; ARC Centre of Excellence for Astrophysics in Three Dimensions (ASTRO3D); University of New South Wales (UNSW); Universidad Nacional Autónoma de México; University of Toledo; Macquarie University; University of Sydney; NASA, National Aeronautics & Space Administration (NASA), Armstrong Flight Res Ctr, SOFIA Operat Ctr, USRA; Australian Astronomical Optics; Christ University, Bangalore<b>Associated Persons</b><br/>Henry Poetrodjojo (Creator); Lisa J. Kewley (Creator); Sarah M. Sweet (Creator); Sebastian F. Sanchez (Creator); Anne M. Medling (Creator); Ángel R. López-Sánchez (Creator); Sarah Brough (Creator); Jesse Van De Sande (Creator); Sam P. Vaughan (Creator); Samuel N. Richards (Creator); Julia J. Bryant (Creator); Scott M. Croom (Creator); Joss Bland-Hawthorn (Creator); Michael Goodwin (Creator); Jon S. Lawrence (Creator); Matt S. Owers (Creator); Nicholas Scott (Creator)We measure the gas-phase metallicity gradients of 248 galaxies selected from Data Release 2 of the SAMI Galaxy Survey. We demonstrate that there are large systematic discrepancies between the metallicity gradients derived using common strong emission line metallicity diagnostics. We determine which pairs of diagnostics have Spearman’s rank coefficients greater than 0.6 and provide linear conversions to allow the accurate comparison of metallicity gradients derived using different strong emission line diagnostics. For galaxies within the mass range 8.5 < log (M/M⊙) < 11.0, we find discrepancies of up to 0.11 dex/Re between seven popular diagnostics in the metallicity gradient–mass relation. We find a suggestion of a break in the metallicity gradient–mass relation, where the slope shifts from negative to positive, occurs between 9.5 < log (M/M⊙) < 10.5 for the seven chosen diagnostics. Applying our conversions to the metallicity gradient–mass relation, we reduce the maximum dispersion from 0.11 dex/Re to 0.02 dex/Re. These conversions provide the most accurate method of converting metallicity gradients when key emission lines are unavailable. We find that diagnostics that share common sets of emission line ratios agree best, and that diagnostics calibrated through the electron temperature provide more consistent results compared to those calibrated through photoionization models
Generative AI’s Impact on Industry: Unveiling Transformative Applications, Opportunities and Challenges
No full textWith the advancement of Artificial Intelligence, a new branch of AI has emerged which is known as Generative AI. It has gained a lot of popularity in a very short time because of its human-like computational capabilities. It has the potential to automate hectic work with its efficient processing capabilities. Overall, it can help in solving complex problems and optimizing mundane and redundant tasks. The main objective of this paper is to conduct a thorough analysis of the impacts of Generative AI on the industry and its benefits, advantages, and application. This will help future generations in opting for Generative AI to automate mundane tasks. The methodology includes in-depth secondary research on research papers related to Generative AI and its applications. The findings show that the recent generative AI applications have emerged as the fastest-growing user base. However, there are lots of limitations to incorporating AI models in the industry. Therefore, it will be beneficial to use Generative AI applications but relying on them can be threatening to employment opportunities and may lead to misleading and falsifying information. It is necessary to have human evaluation, considering specific constraints to accomplish desired results
A Comparative Study of the Energy Efficiency of Traditional Network Topology and Software-Defined Networking (SDN) Topology
No full textThis study is intended to be a comparative study of the energy efficiency of the traditional network topology and the software-defined networking (SDN) topology. Energy efficiency has been a priority aspect in network design due to environmental concerns and cost optimization of operational costs. Traditional networking is based on the existing configuration of the hardware devices and decentralized control, which in turn results in ineffective usage of the resources. However, in contrast, SDN centralizes network control and thus facilitates energy-efficient resource allocation and optimization. In this comparison, the energy consumption profiles, the utilization patterns of the resources, and the operating strategies of both methods are evaluated. The goal of this study is to present information on SDN energy efficiency over the conventional networking method and to demonstrate how SDN can offer benefits to the environment and economy by using SDN technologies in network infrastructures. However, the selection of the specific network infrastructure may vary depending on specific user requirements
Measurement of free calcium concentration in 3D bio-printed alginate scaffolds
No full textThree-dimensional (3D) bioprinting uses bioinks to print scaffolds that mimic natural living
structures that are used for applications such as in vitro modelling of drug delivery. A common
bioprinting method exposes an ionically crosslinking hydrogel, such as alginate, to a crosslinking
ion such as calcium. Our lab recently developed a novel CaCl2 mist-based system for
crosslinking ion exposure. However, it is known that cell viability is strongly affected by the
concentration of extracellular calcium.
The goal of this project is to investigate the impact of the presence of free calcium in 3D prints
of alginate crosslinked with CaCl2 mist. The four variables are the concentration of CaCl2 mist,
the mist flow rate, the printing speed, and the incubation time. The standardized scaffolds are
incubated in cell culture media and a sample is removed and tested using a calcium colorimetric
assay to determine the amount of free calcium present.
Future work will include comparing the results to literature data on cell viability as a function of
the amount of free calcium present to determine optimum printing parameters for the mist-based
system that combines good “printability” with high cellular viability.
HD is the recipient of an NSERC USRA award. Research funding is provided by an NSERC I2I
grant to AA and RA
A Comparative Study of the Energy Efficiency of Traditional Network Topology and Software-Defined Networking (SDN) Topology
No full textThis study is intended to be a comparative study of the energy efficiency of the traditional network topology and the software-defined networking (SDN) topology. Energy efficiency has been a priority aspect in network design due to environmental concerns and cost optimization of operational costs. Traditional networking is based on the existing configuration of the hardware devices and decentralized control, which in turn results in ineffective usage of the resources. However, in contrast, SDN centralizes network control and thus facilitates energy-efficient resource allocation and optimization. In this comparison, the energy consumption profiles, the utilization patterns of the resources, and the operating strategies of both methods are evaluated. The goal of this study is to present information on SDN energy efficiency over the conventional networking method and to demonstrate how SDN can offer benefits to the environment and economy by using SDN technologies in network infrastructures. However, the selection of the specific network infrastructure may vary depending on specific user requirements
Generative AI’s Impact on Industry: Unveiling Transformative Applications, Opportunities and Challenges
No full textWith the advancement of Artificial Intelligence, a new branch of AI has emerged which is known as Generative AI. It has gained a lot of popularity in a very short time because of its human-like computational capabilities. It has the potential to automate hectic work with its efficient processing capabilities. Overall, it can help in solving complex problems and optimizing mundane and redundant tasks. The main objective of this paper is to conduct a thorough analysis of the impacts of Generative AI on the industry and its benefits, advantages, and application. This will help future generations in opting for Generative AI to automate mundane tasks. The methodology includes in-depth secondary research on research papers related to Generative AI and its applications. The findings show that the recent generative AI applications have emerged as the fastest-growing user base. However, there are lots of limitations to incorporating AI models in the industry. Therefore, it will be beneficial to use Generative AI applications but relying on them can be threatening to employment opportunities and may lead to misleading and falsifying information. It is necessary to have human evaluation, considering specific constraints to accomplish desired results
Effects of systemically-administered thiamethoxam on behaviour in The rat
No full textNeonicotinoid insecticides such as thiamethoxam are widely used in agricultural, commercial,
residential, and veterinary settings. These drugs cause motor paralysis and death in insects
through activation of nicotinic acetylcholine receptors (nAChR) located at the neuromuscular
junction (NMJ) but have minimal activity at the mammalian NMJ. The effects of these drugs on
the different subtypes of nAChRs found in the mammalian brain, however, is unknown.
Effects on central nervous system function were measured in male Sprague-Dawley (CD) rats
(N=32; 299-340g) following subcutaneous injection of 3 mg/kg thiamethoxam, 0.5 mg/kg
nicotine (positive control) or saline vehicle. Tests used were Spontaneous Alternation (short-term
memory), Horizontal Ladder (locomotor coordination) and Novel Object Recognition (NOR)
(longer term memory).
No significant differences were found between groups although some interesting trends were
noted. In the horizontal ladder both thiamethoxam and nicotine treated rats appeared to take
longer to cross the ladder and to spend more time with the novel object than the familiar object in
the NOR task than did their saline counterparts.
We conclude that systemic thiamethoxam has no significant effects on behaviour at the dose
tested but that further investigations with higher doses and/or larger group sizes are probably
warranted.
AW is supported by an NSERC USRA award and research funding was provided by an NSERC
Discovery grant to RAT
Log of Apollo Lunar Surface Experiments Package technical memoranda (ATM)
No full textGives the ATM number, issue date, author, and title for the ALSEP technical memoranda (ATM) from Bendix
