Results 51 to 60 of about 157,357 (284)

Faster 64-bit universal hashing using carry-less multiplications [PDF]

open access: yes, 2015
Intel and AMD support the Carry-less Multiplication (CLMUL) instruction set in their x64 processors. We use CLMUL to implement an almost universal 64-bit hash family (CLHASH).
Kaser, Owen, Lemire, Daniel
core   +2 more sources

Deterministic Detection of Single Ion Implantation

open access: yesAdvanced Engineering Materials, EarlyView.
Focused ion beam implantation with high detection efficiencies will enable the rapid and scalable fabrication of advanced spin‐based technologies such as qubits. This work presents the detection efficiencies of a wide range of ions implanted into solid‐state hosts, with efficiencies of >90% recorded for ion species and substrate combinations of ...
Mason Adshead   +6 more
wiley   +1 more source

Ranking-Based Deep Hashing Network for Image Retrieval

open access: yesIEEE Access, 2022
In large-scale image retrieval, the deep learning-based hashing methods have significantly progressed. However, most of the existing deep hashing methods still have the problems of low feature learning efficiency and weak ranking relationship ...
Zhisheng Zhang   +5 more
doaj   +1 more source

Key recycling in authentication

open access: yes, 2014
In their seminal work on authentication, Wegman and Carter propose that to authenticate multiple messages, it is sufficient to reuse the same hash function as long as each tag is encrypted with a one-time pad.
Portmann, Christopher
core   +1 more source

Purpose‐Adaptable Reinforced 3D Hyaluronic‐Acid Based Platform to Study Pathomechanisms of the Central Nervous System

open access: yesAdvanced Healthcare Materials, EarlyView.
Platform system to create biofabricated 3D spinal cord tissue models: Combining high resolution PCL fiber placement, a customized, hyaluronic acid‐based hydrogel, two cell types (spinal cord neurons and astrocytes) together with three distinct laminin isoforms allow the formation of functional cell–cell network interactions.
Nicoletta Murenu   +12 more
wiley   +1 more source

On the Indifferentiability of the Grøstl Hash Function [PDF]

open access: yes, 2010
The notion of indifferentiability, introduced by Maurer et al., is an important criterion for the security of hash functions. Concretely, it ensures that a hash function has no structural design flaws and thus guarantees security against generic attacks up to the proven bounds. In this work we prove the indifferentiability of Grostl, a second round SHA-
Elena Andreeva 0001   +2 more
openaire   +3 more sources

Bottom‐Up Programming of Cell States in Cancer Organoids with Defined Synthetic Adhesion Cues

open access: yesAdvanced Materials, EarlyView.
A bottom‐up biomaterial platform is developed to program transcriptomic states in pancreatic cancer organoids by tuning adhesion cues within synthetic matrices. By combining a Design of Experiments framework with multiobjective optimization, matrix compositions are identified that enrich specific cellular programs like EMT.
Ali Nadernezhad   +6 more
wiley   +1 more source

Verifiable Random Functions (VRFs) [PDF]

open access: yes, 2018
A Verifiable Random Function (VRF) is the public-key version of a keyed cryptographic hash. Only the holder of the private key can compute the hash, but anyone with public key can verify the correctness of the hash.
Goldberg, Sharon   +3 more
core  

Byzantine Modification Detection in Multicast Networks With Random Network Coding [PDF]

open access: yes, 2008
An information-theoretic approach for detecting Byzantine or adversarial modifications in networks employing random linear network coding is described. Each exogenous source packet is augmented with a flexible number of hash symbols that are obtained as ...
Effros, Michelle   +5 more
core   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

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