Rapidity particle spectra in sudden hadronization of QGP

We show that the remaining internal longitudinal flow of colliding quarks in nuclei offers a natural explanation for the diversity of rapidity spectral shapes observed in Pb--Pb 158AGeV nuclear collisions. Thus QGP sudden hadronization reaction picture is a suitable approach to explain the rapidity spectra of hadrons produced.Comment: 3 pages including 2 figure

Alliance for a Data Revolution: CGIAR Platform for Big Data in Agriculture 2017 Convention Report

On September 19-22, 2017 the Consultative Group for International Agricultural Research1 (CGIAR) gathered over 300 local and international researchers, non-profits, public and private sector actors for the first CGIAR Platform for Big Data in Agriculture Convention, hosted by the International Center for Tropical Agriculture (CIAT) in Palmira, Colombia. The Convention marked the programmatic launch of the Platform, which aims to enable the development sector to embrace data and other digital technology approaches to solve agricultural development problems faster, better and at greater scale. The Platform works across the CGIAR network and CGIAR Research Programs (CRPs) and with the gamut of stakeholders in the agriculture sector as they grapple with creation, curation, and sharing data to enable new approaches to complex development challenges. The Platform is designed around three strategic pillars: Organize, Convene, and Inspire. The first aims to organize data so datasets are findable, accessible, and interoperable so they can be used increasingly in big data analytics. In addition, this pillar will develop open digital infrastructures for the sector that support the CGIAR’s work and enable new partnerships and innovations. The aim to convene analysts, researchers and public, private and non-profit actors in the agriculture sector will build new partnerships that both shape and fully leverage digital technologies in support of global agricultural development. The final pillar is to inspire these actors to push the limits of research and innovation to generate new data-driven approaches that solve real world development problems faster, cheaper, and more efficiently

Big Data Coordination Platform: Full Proposal 2017-2022

This proposal for a Big Data and ICT Platform therefore focuses on enhancing CGIAR and partner capacity to deliver big data management, analytics and ICT-focused solutions to CGIAR target geographies and communities. The ultimate goal of the platform is to harness the capabilities of Big Data to accelerate and enhance the impact of international agricultural research. It will support CGIAR’s mission by creating an enabling environment where data are expertly managed and used effectively to strengthen delivery on CGIAR SRF’s System Level Outcome (SLO) targets. Critical gaps were identified during the extensive scoping consultations with CGIAR researchers and partners (provided in Annex 8). The Platform will achieve this through ambitious partnerships with initiatives and organizations outside CGIAR, both upstream and downstream, public and private. It will focus on promoting CGIAR-wide collaboration across CRPs and Centers, in addition to developing new partnership models with big data leaders at the global level. As a result, CGIAR and partner capacity will be enhanced, external partnerships will be leveraged, and an institutional culture of collaborative data management and analytics will be established. Important international public goods such as new global and regional datasets will be developed, alongside new methods that support CGIAR to use the data revolution as an additional means of delivering on SLOs

A Global Data Ecosystem for Agriculture and Food

Agriculture would benefit hugely from a common data ecosystem. Produced and used by diverse stakeholders, from smallholders to multinational conglomerates, a shared global data space would help build the infrastructures that will propel the industry forward. In light of growing concern that there was no single entity that could make the industry-wide change needed to acquire and manage the necessary data, this paper was commissioned by Syngenta with GODAN’s assistance to catalyse consensus around what form a global data ecosystem might take, how it could bring value to key players, what cultural changes might be needed to make it a reality and finally what technology might be needed to support it. This paper looks at the challenges and principles that must be addressed in in building a global data ecosystem for agriculture. These begin with building incentives and trust: amongst both data providers and consumers: in sharing, opening and using data. Key to achieving this will be developing a broad awareness of, and making efforts to improve, data quality, provenance, timeliness and accessibility. We set out the key global standards and data publishing principles that can be followed in supporting this, including the ‘Five stars of open data’ and the ‘FAIR principles’ and offer several recommendations for stakeholders in the industry to follow

Progress Update of Community Standards for 3D Data Preservation: Project Background and Forum 1 Summary

This report was collaboratively generated by the CS3DP Forum 1 participants

CGIAR Platform for Big Data in Agriculture - Plan of Work and Budget 2021

The CGIAR Platform for Big Data in Agriculture is a cross-cutting program of the global CGIAR consortium of non-profit research institutes looking into virtually every aspect of food security spanning: genomics, breeding, agroecology, climate science, and the socioeconomic drivers and context of food systems change. The Platform tends to data standards and data sharing, digital innovation strategy and technology transfer, and research into the intersection of digital technologies and agricultural development in emerging regions

Privacy and Data Protection Act 2014

This report establishes a data security regime for all information held by the Victorian public sector. Authorised Version No. 001 - Privacy and Data Protection Act 2014 - No. 60 of 2014 Authorised Version incorporating amendments as at 17 September 2014 The Parliament of Victoria enacts: PART 1—PRELIMINARY 1 Purposes The purposes of this Act are— (a) to provide for responsible collection and handling of personal information in the Victorian public sector; and (b) to provide remedies for interferences with the information privacy of an individual; and (c) to establish a protective data security regime for the Victorian public sector; and (d) to establish a regime for monitoring and assuring public sector data security; and (e) to establish the Commissioner for Privacy and Data Protection; and (f) to repeal the Information Privacy Act 2000 and the Commissioner for Law Enforcement Data Security Act 2005 and make consequential amendments to other Acts

A Cardozo Tech Talk: The Paris Call and the Emergence of Global Cybernorms

https://larc.cardozo.yu.edu/event-invitations-2019/1012/thumbnail.jp

Quark and Lepton Masses in 5D SO(10)

We construct a five dimensional supersymmetric SO(10)$\times$D$_3$ grand unified model with an $S^1/(Z_2 \times Z^\prime_2)$ orbifold as the extra dimension. The orbifold breaks half of the supersymmetry and breaks the SO(10) gauge symmetry down to ${\rm SU(4)}_C \times {\rm SU(2)}_L \times {\rm SU(2)}_R$. The Higgs mechanism is used to break the remaining gauge symmetry the rest of the way to the Standard Model. We place matter fields variously in the bulk and on the orbifold fixed points and the resulting massless fields are mixtures between these brane and bulk fields. A chiral adjoint field in the bulk gets a U(1)$_X$ vacuum expectation value, resulting in an $X$-dependent localization of the bulk matter fields and the Standard Model Higgs field. This Higgs field localization allows us to simultaneously explain the hierarchies $m_u < m_d$ and $m_t \gg m_b$. The model uses 11 parameters to fit the 13 independent low energy observables of the quark and charged lepton Yukawa matrices. The model predicts the values of two quark mass combinations, \f{m_u}{m_c} and $m_d m_s m_b$, each of which are predicted to be approximately $1 \sigma$ above their experimental values. The remaining observables are successfully fit at the 5% level.Comment: 52 pages, published version, includes more discussion of 6D version of mode

Magnetic properties of polypyrrole - coated iron oxide nanoparticles

Iron oxide nanoparticles were prepared by sol -gel process. Insitu polymerization of pyrrole monomer in the presence of oxygen in iron oxide ethanol suspension resulted in a iron oxide - polypyrrole nanocomposite. The structure and magnetic properties were investigated for varying pyrrole concentrations. The presence of the gamma - iron oxide phase and polypyrrole were confirmed by XRD and FTIR respectively. Agglomeration was found to be comparatively much reduced for the coated samples, as shown by TEM. AC susceptibility measurements confirmed the superparamagnetic behaviour. Numerical simulations performed for an interacting model system are performed to estimate the anisotropy and compare favourably with experimental results.Comment: 11 pages,8 figure