The document is a measurement report concerning the characterization of the NbTi low losses superconductor wire. The measurement report collects the following measurements: critical current, RRR and magnetization measurements. The critical current and RRR measurements have been performed at LASA laboratory of INFN (Milan, Italy). A crosscheck measurement for the critical current has been done by CERN. The magnetization measurements have been performed by the Group of Applied Superconductivity of the Faculty of Sciences of the University of Geneva (Unige, Switzerland).
Mizielinski, Matthew S.; Stephens, Ag; van der Linden, Paul; Bretonniere, Pierre Antoine; Fiore, Sandro; von Hardenberg, Jost; Kolax, Michael; Lohmann, Katja; Moine, Marie-Pierre; Le Sager, Philippe; +2 more
Mizielinski, Matthew S.; Stephens, Ag; van der Linden, Paul; Bretonniere, Pierre Antoine; Fiore, Sandro; von Hardenberg, Jost; Kolax, Michael; Lohmann, Katja; Moine, Marie-Pierre; Le Sager, Philippe; Semmler, Tido; Senan, Retish;
From 2014 to 2020, Mult-Verse Education Support or Multiedsupport maintained a profile page on the lesson delivery and payment management platform Takelessons.com. The evaluations from client students were favorably rated for talents and features as providing multimedia tools for online lessons, strong technology upgrades, integrating sensory, acoustic software to facilitate perception of speech problems, and encompassing multiple perspectives of research. These lessons remain accessible and bookable through other sites, as Udemy, Livexp, Fiverr, and Multiedsupport.appointy.com. The subjects are as follows: English language topics, French language topics, German language topics, Spanish Language topics, Microsoft Office productivity apps, home-row typing skills, and content creation support using multimedia apps. There is an emphasis and distinction on accent-reduction training and electronic music production using audio editing and DAW tools.
Why Lead?: Supporting Student Leaders in Placentia-Yorba Linda Unified School District Advisor: Dr. Nancy Watkins The purpose of this research project is to understand the trends of adolescents’ leadership pursuit at their schools and in the local community. It is essential to cultivate young leaders so they can be well-rounded citizens of society and some of the most impactful leadership experiences occur within school leadership programs. A case study was conducted on student leadership in Placentia-Yorba Linda Unified School District (PYLUSD), which serves around 24,000 students. PYLUSD has been recognized as a high-performing school district on a statewide and national level. The purpose of this project was to create a leadership guide that will be free for all PYLUSD students to access online. The guide will focus specifically on how to gain acceptance into application-based programs like Peer Leadership and ASB (Associated Student Body). Since this guide is centered around PYLUSD, the guide will provide a rationale for how providing leadership opportunities to students relates to the district’s core values and mission statement. Qualitative data was collected for this research project. I interviewed two high school teachers and two middle school teachers. I also conducted interviews with four alumni: one is a college freshman and the other three are well established in their respective careers. This data was combined with information from scholarly articles and websites including the official PYLUSD website.
This is a brief description of a small workshop on the future of the recommendations for FAIR semantics that was held on January 27 2022 as part of the Sustainability workshop during the FAIRsFAIR Final Event.
we formulate our understanding of consciousness in terms of a precise computable and comprehensible framework in order to explore and study perceptual processing within any integrated system mainly in terms of simplifed algorithms ,digits and strings and threw out a minimalistic and miticulous methodology . Here, it is proposed that consciousness is bulit upon complexity which allows informational processing to ‘evolve’ and devolope more subtile mechanisms . Neural networks become a simple emerging componenet within the mechanics that can be expressed and computed in terms of evolutionary algorithms and would exist only when conditioned by the processing of information . This will allow us to describe every possible experience within any integrated system in terms of simple algorithms that can then be syntethized ( computed) into a language which we call the ‘design language’ or ‘perceptual language.. We then elaborate an interactive ‘map’ in order to illustrate graphically our language as a sequential computation where each ‘step’ within the processing is labeled as an event that constitue an element in the overall description. We finally conclude our project by very important implications and discuss about various applications.
We propose a first version of an assessment framework for the FAIRness of services, together with a process to refine this model including community consultation with a view to finalizing it in August 2021. Aimed at a target audience of data service owners, the model contains concrete recommendations to improve technical aspects of services (FAIR enablement, Quality of service, Openness & Connectivity) as well as more social aspects of services (User centricity, Trustworthiness and Ethical & Legal aspects). Input was gathered from interviews with service owners, a virtual workshop held at the EOSC-hub conference earlier this year and from the recent literature on FAIR services and interoperability. The bibliography includes a series of references that have been mined for input on the suggestions in our model, and the input documents are summarized in an Annex. Feedback and suggestions for improvement will be most welcome as comments on the public Google Docs version of this report: https://docs.google.com/document/d/1wPesjAIeaOwfAT80ykK6xVvk4tVD0CDkfAEAa1VOGCA/
The narrative of the American dream is based on the notion that if individuals work hard enough nothing can hold them back from becoming wealthy and successful. Diametrically opposed to the narrative of the American dream is the acknowledgment of institutional discrimination in the United States against people of color. Previous research has found that these two clashing narratives (the American Dream and Institutional Discrimination) served as the strongest predictors for people's political position above and beyond psychological constructs. In this experiment, I examine how Trump's policies of increased policing of immigrants crossing the border influence Latinx and White Americans' endorsement of the two important narratives in predicting voter behavior. In the experiment (N=147), I compared a group of participants primed with two news clips of immigrants' death due to Trump's immigration policy with a control group. My results indicated that White participants scored higher on the American dream in the control condition than Latino participants. Results also indicated that White participants decreased their belief in the American dream, whereas Latino participants increased their belief in the American dream when confronted with news clips of immigrants' death at the border. Further analysis found that White participants, when being exposed to the brutal treatment of immigrants, distanced themselves from the actions of the Trump Administration and agreed that institutional discrimination is prevalent in the US. I discuss the results in terms of Latinx increased support for Trump in the 2020 election.
ETH/CSCS has the duty of providing stable computing resources for its customers' applications. In climate research this requirement often requires stable, reproducible execution of a particular application over multiple years. Since the underlying computing platform – in our case CSCS Piz Daint – changes with each upgrade, ensuring such continuity for users is at best challenging. ESiWACE2 is putting a large effort to evaluate containers to see if they provide the platform stability needed. The object of this milestone, One model ported using containers, is to illustrate first-hand the viability of the container paradigm. The PRACE-supported QUBICC project which uses the Icosahedral Non-hydrostatic (ICON) model to simulate the evolution of the atmosphere in order to analyse the quasi-biennial oscillation (QBO) – the roughly 2-year shift from prevailing westerly mean flow to easterly and back – is one such application. The underlying high global resolution (2.9–5km) simulations require extensive computing resources over long periods of time, where the system needs to remain as static as possible. High performance is key to these simulations in order to complete them in reasonable time, so the overhead for running them inside a container has to be small. While QUBICC simulations currently run on 'bare-metal', i.e., not within containers, ETH/CSCS and MPI-M are preparing the container infrastructure to support these simulations over the long term where machine upgrades are unavoidable. The ICON model was one of many models addressed in the Container Hackathon for Modellers, a three-day event to 'jump start' the insertion of models into Docker-based containers. The results of this event are exhaustively documented in ESiWACE-2 Deliverable D2.8. Of all the applications ported to containers during the hackathon, the ICON team arguably made the least progress. The work was subsequently continued by the ETH/CSCS User Support team: Rafael Samiento (ETH/CSCS) methodically extended the initial hackathon work and upgraded to the code base on the QUBICC branch mc10_rrtmgp_remerge from the icon-cscs repository. The realisation can be found in a subsequent section. The port of the ICON for QUBICC using containers was thus a complete success as illustrated by the performance comparison (see Appendix A.1) with the base code without containers, using a medium resolution simulation on 64 to 160 GPU nodes of Piz Daint: The overhead of running with containers turns out to be minimal. The resulting container infrastructure is highly useful for CSCS customers who need ICON to remain in a stable configuration for periods much longer than the normal upgrade cycle. This milestone documents work contributing to Principle Objective (1) Enable leading European weather and climate models to leverage the available performance of pre-exascale systems with regard to both compute and data capacity in 2021. It enables the long simulations common in climate modelling on the rapidly changing environment of TIER0 supercomputers. By using Docker and Sarus, it makes use of the emerging container technology and thus contributes to the specific objective (b)Establish new technologies for weather and climate modelling".