Contributors:Liangliang Lu, Floris Goerlandt, Kristjan Tabri, Anders Höglund, Osiris Alejandro Valdez Banda, Pentti Kujala
This Collision-Oil spill-Oil drift-Response and recover (COOR) system model for the mechanical oil spill recovery system is developed for the Finnish oil spill response fleet, contextualized for representative collision accident scenarios. This model combines information about representative sea ice conditions, ship-ship collisions and their associated oil outflow, the oil dispersion and spreading in the ice conditions, and the oil spill response and recovery of the fleet.
The algorithm for solving the heat conduction problem in a two-layer plate by the finite difference method is presented. The user has the possibility to change the initial data and boundary conditions of the problem. Calculation results are presented in graphical form.
For the full database, please visit: www.projectipad.org
The 2011 accident at Japan’s Fukushima Daiichi Nuclear Power Plant released a considerable inventory of radioactive material into the local and global environments. While the vast majority of this contamination was in the form of gaseous and aerosol species, of which a large component was distributed out over the neighbouring Pacific Ocean (where is was subsequently deposited), a substantial portion of the radioactive release was in particulate form and was deposited across Fukushima Prefecture. To provide an underpinning understanding of the dynamics of this catastrophic accident, alongside assisting in the off-site remediation and eventual reactor decommissioning activities, the ‘International Particle Analysis Database’, or ‘IPAD’, was established to serve as an interactive repository for the continually expanding analysis dataset of the sub-mm ejecta particulate. In addition to a fully interrogatable database of analysis results for registered users (exploiting multiple search methods), the database also comprises an open-access front-end for members of the public to engage with the multi-national analysis activities by exploring a streamlined version of the data.
This dataset used to analysis the CLLJ over Beibu Gulf during early warm summer. This contains the variables that need to be used in, such as wind, geopotential, longitude, latitude, the result of CLLJ frequency and momentum balance etc.
This dataset consists of raw sequencing data (fasta) and analysed relative abundance data (histograms of the dominant 10 species in respective taxonomic ranks ). This project shows the first bacterial diversity profiling of high-microbial-abundance wild tropical marine sponges of southern South China Sea, which are Aaptos aaptos and Xestospongia muta from Bidong and Redang islands, Malaysia. Marine sponges are acknowledged as a bacterial hotspot and resource of novel natural products or genetic material. However, sponge-associated bacteria are difficult to be cultivated and the production of their desirable metabolites are inadequate in terms of rate and quantity, yet bioinformatics and metagenomics tools are progressing. Therefore, the diversity profiling of bacterial communities in marine sponges reveals the approximate gene pool for the gene mining or isolation of bacteria that are potentially and commercially beneficial in manufacturing industry, medicine, or agriculture. The bacterial community data exploited from this project is useful for critical comparison through additional or integrated bioinformatics processing with other marine sponge-associated bacterial community profile data. The community data of this project also unveils some general physiological function of the sponge-associated bacterial assemblage in its local environment. In the data provided, the sponge-associated bacterial communities in A. aaptos of Pulau Bidong, A. aaptos of Pulau Redang, and X. muta of Pulau Bidong have been denoted by A, B, and M, respectively.
Contributors:Cinzia Calluso, Mauro Pettorruso, Annalisa Tosoni, Maria Luisa Carenti, Giovanni Martinotti, Massimo di Giannantonio, Giorgia Committeri
Gambling Disorder (GD) is a behavioral addiction characterized by the persistence of recurrent gambling behaviors despite serious adverse consequences. One of the key features of GD is a marked inability to delay gratification and an overall impairment of decision-making mechanisms. Indeed, in intertemporal choice (ITC) tasks, GDs usually display a marked tendency to prefer smaller-sooner over larger-later rewards (temporal discounting, TD). However, ITC represents a highly declarative measure, and as such might not be sensitive to implicit decision biases. Here we sought to uncover the implicit mechanisms underlying the ITC impairment in GDs by employing the process tracing method of mouse kinematics. To this aim, we collected and analyzed ITCs and kinematics measures from 24 PGs and 23 matched healthy control participants (HCs). In line with the relevant literature, the results showed that PGs discounted future rewards more steeply compared to HCs. Additionally, the results of kinematics analyses showed that PGs were characterized by a strong bias toward the immediate option, which was associated with straight-line trajectories. Conversely, the delayed option was selected with edge-curved trajectories, indicating a bias toward the immediate option which was revised in later stages of processing. Interestingly, kinematics indices were also found to be predictive of individual discounting preferences (i.e., discount rates) across the two groups. Taken together, these results suggest that kinematics indices, by revealing hidden and implicit patterns of attraction toward the unselected choice option, may represent reliable behavioral markers of TD in gambling disorder.
This study aimed to investigate the associations between teachers’ flourishing at work, their perceived stress, their strategies to deal with stress, and their intention to leave their jobs. A convenience sample of teachers (n = 209) in South Africa participated in a survey. The Flourishing at Work Scale – Short Form, Perceived Stress Scale, Brief COPE Inventory, and Workplace Evaluation Questionnaire were administered.
This study aimed to investigate the relationships between job crafting, psychological need satisfaction/frustration, thriving, and job insecurity of academics in higher education institutions. A survey with a convenience sample of 276 academic staff at three higher education institutions in South Africa was used. The participants completed the Job Crafting Scale, Basic Psychological Need Satisfaction and Frustration Scale, High-Performance Human Resource Practices Questionnaire, and Thriving at Work Scale.
The data consist of an application, namely PyFEST, written in Python language, and a file with instructions to install and use the application. It can be used to estimate the frequencies of short-time signals with high accuracy. Along with the application, examples with generated signal (single-ton, multi-tone, noisy, damped etc.) and measured signals are delivered for testing purposes.
The frequencies of the harmonic components are evaluated one-by-one with high accuracy. Because the actions performed do not imply previous expertise, the results are not influenced by human intervention.