Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-32-2014 | Award Amount: 3.96M | Year: 2015
Online banking, e-commerce, telemedicine, mobile communication, and cloud computing depend fundamentally on the security of the underlying cryptographic algorithms. Public-key algorithms are particularly crucial since they provide digital signatures and establish secure communication without requiring in-person meetings. Essentially all applications today are based on RSA or on the discrete-logarithm problem in finite fields or on elliptic curves. Cryptographers optimize parameter choices and implementation details for these systems and build protocols on top of these systems; cryptanalysts fine-tune attacks and establish exact security levels for these systems. Alternative systems are far less visible in research and unheard of in practice. It might seem that having three systems offers enough variation, but these systems are all broken as soon as large quantum computers are built. The EU and governments around the world are investing heavily in building quantum computers; society needs to be prepared for the consequences, including cryptanalytic attacks accelerated by these computers. Long-term confidential documents such as patient health-care records and state secrets have to guarantee security for many years, but information encrypted today using RSA or elliptic curves and stored until quantum computers are available will then be as easy to decipher as Enigma-encrypted messages are today. PQCRYPTO will allow users to switch to post-quantum cryptography: cryptographic systems that are not merely secure for today but that will also remain secure long-term against attacks by quantum computers. PQCRYPTO will design a portfolio of high-security post-quantum public-key systems, and will improve the speed of these systems, adapting to the different performance challenges of mobile devices, the cloud, and the Internet of Things. PQCRYPTO will provide efficient implementations of high-security post-quantum cryptography for a broad spectrum of real-world applications.
Academia Sinica, China | Date: 2015-01-16
A conjugate is disclosed. The conjugate comprises (a) an isolated or a synthetic targeting peptide of less than 15 amino acid residues in length, comprising an amino acid sequence having at least 90% identity to a sequence selected from the group consisting of SEQ ID NOs: 1-8; and (b) a component conjugated to the targeting peptide, the component being selected from the group consisting of a drug delivery vehicle, an anti-cancer drug, a micelle, a nanoparticle, a liposome, a polymer, a lipid, an oligonucleotide, a peptide, a polypeptide, a protein, a cell, an imaging agent, and a labeling agent. Methods of treating lung cancer and detecting lung cancer cells are also disclosed.
Academia Sinica, China | Date: 2015-09-25
Described herein is a transgenic plant that comprises a recombinant DNA construct that contains a nucleic acid sequence operably linked to a promoter, the nucleic acid sequence encoding an AFL1 polypeptide, a recombinant DNA construct for inhibiting expression of a PD15 polypeptide or a NAI2 polypeptide, or a loss-of-function pdi5 or nai2 mutation, wherein the transgenic plant exhibits increased growth under drought as compared to a control plant.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: EINFRA-1-2014 | Award Amount: 8.65M | Year: 2015
Over the last decade, the European Grid Infrastructure (EGI) has built a distributed computing and data infrastructure to support over 21,000 researchers from many disciplines with unprecedented data analysis capabilities. EGI builds on the European and national investments and relies on the expertise of EGI.eu - a not-for-profit foundation that provides coordination to the EGI Community, including user groups, EGI.eu participants in the EGI Council, and the other collaborating partners. The mission of EGI-Engage is to accelerate the implementation of the Open Science Commons vision, where researchers from all disciplines have easy and open access to the innovative digital services, data, knowledge and expertise they need for their work. The Open Science Commons is grounded on three pillars: the e-Infrastructure Commons, an ecosystem of key services; the Open Data Commons, where any researcher can access, use and reuse data; and the Knowledge Commons, in which communities have shared ownership of knowledge and participate in the co-development of software and are technically supported to exploit state-of-the-art digital services. EGI-Engage will expand the capabilities offered to scientists (e.g. improved cloud or data services) and the spectrum of its user base by engaging with large Research Infrastructures (RIs), the long-tail of science and industry/SMEs. The main engagement instrument will be a network of eight Competence Centres, where National Grid Initiatives (NGIs), user communities, technology and service providers will join forces to collect requirements, integrate community-specific applications into state-of-the-art services, foster interoperability across e-Infrastructures, and evolve services through a user-centric development model. The project will also coordinate the NGI efforts to support the long-tail of science by developing ad hoc access policies and by providing services and resources that will lower barriers and learning curves.
Academia Sinica, China | Date: 2015-05-27
The present disclosure relates to glycoproteins, particularly monoclonal antibodies, comprising a glycoengineered Fc region, wherein said Fc region comprises an optimized N-glycan having the structure of Sia