A Further Look at the Current Equivalence Test for Analytical Similarity Assessment

2019 ◽  
pp. 55-70
Author(s):  
Neal Thomas ◽  
Aili Cheng
Keyword(s):  
Equivalence Test ◽  
Similarity Assessment

Publicly auditable conditional blind signatures

2021 ◽  
Vol 29 (2) ◽  
pp. 229-271
Author(s):  
Panagiotis Grontas ◽  
Aris Pagourtzis ◽  
Alexandros Zacharakis ◽  
Bingsheng Zhang
Keyword(s):  
Proof Of Concept ◽  
Equivalence Test ◽  
Zero Knowledge ◽  
Private Key ◽  
Blind Signatures ◽  
Cryptographic Primitive ◽  
Security Properties ◽  
Designated Verifier

This work formalizes Publicly Auditable Conditional Blind Signatures (PACBS), a new cryptographic primitive that allows the verifiable issuance of blind signatures, the validity of which is contingent upon a predicate and decided by a designated verifier. In particular, when a user requests the signing of a message, blinded to protect her privacy, the signer embeds data in the signature that makes it valid if and only if a condition holds. A verifier, identified by a private key, can check the signature and learn the value of the predicate. Auditability mechanisms in the form of non-interactive zero-knowledge proofs are provided, so that a cheating signer cannot issue arbitrary signatures and a cheating verifier cannot ignore the embedded condition. The security properties of this new primitive are defined using cryptographic games. A proof-of-concept construction, based on the Okamoto–Schnorr blind signatures infused with a plaintext equivalence test is presented and its security is analyzed.

scholarly journals Analytical Similarity Assessment of ABP 959 in Comparison with Eculizumab Reference Product

BioDrugs ◽  
2021 ◽  
Author(s):  
Katariina M. Hutterer ◽  
Anna Ip ◽  
Scott Kuhns ◽  
Shawn Cao ◽  
Mats Wikström ◽  
...  
Keyword(s):  
Reference Product ◽  
Similarity Assessment

scholarly journals MET: a Java package for fast molecule equivalence testing

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Jördis-Ann Schüler ◽  
Steffen Rechner ◽  
Matthias Müller-Hannemann
Keyword(s):  
Chemical Properties ◽  
Graph Isomorphism ◽  
Isomorphism Problem ◽  
Equivalence Classes ◽  
Equivalence Testing ◽  
Equivalence Test ◽  
Graph Isomorphism Problem ◽  
2D Structure ◽  
Node Labels ◽  
Labelled Graphs

AbstractAn important task in cheminformatics is to test whether two molecules are equivalent with respect to their 2D structure. Mathematically, this amounts to solving the graph isomorphism problem for labelled graphs. In this paper, we present an approach which exploits chemical properties and the local neighbourhood of atoms to define highly distinctive node labels. These characteristic labels are the key for clever partitioning molecules into molecule equivalence classes and an effective equivalence test. Based on extensive computational experiments, we show that our algorithm is significantly faster than existing implementations within , and . We provide our Java implementation as an easy-to-use, open-source package (via GitHub) which is compatible with . It fully supports the distinction of different isotopes and molecules with radicals.

scholarly journals In-group, out-group effects in distributional preferences: the case of gender

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Tarek Jaber-Lopez ◽  
Alexandra Baier ◽  
Brent J. Davis
Keyword(s):  
Gender Differences ◽  
Gender Difference ◽  
Equivalence Test ◽  
Distributional Preferences ◽  
Same Gender ◽  
Gender Interactions ◽  
Opposite Gender ◽  
Group Effects

AbstractWe examine gender differences when eliciting distributional preferences as conducted by the Equality Equivalence Test, which has the ability to classify subjects into preferences types. Preferences are elicited when individuals interact with an individual of the same gender and with an individual of the opposite gender. We find elicited preferences are robust across both in-group (same gender) and out-group (opposite gender) interactions. When analyzing the intensity of benevolence (or malevolence) we find that overall women exhibit more malevolence than men, but there is no gender difference for benevolence. Furthermore, women exhibit a higher level of in-group favoritism than men.

An antiphishing strategy based on visual similarity assessment

2006 ◽  
Vol 10 (2) ◽  
pp. 58-65 ◽  
Author(s):  
Wenyin Liu ◽  
Xiaotie Deng ◽  
Guanglin Huang ◽  
A.Y. Fu
Keyword(s):  
Visual Similarity ◽  
Similarity Assessment

Similarity assessment in a case‐based reasoning framework for building envelope design

2001 ◽  
Vol 14 (5/6) ◽  
pp. 376-386
Author(s):  
Serban Iliescu ◽  
Paul Fazio ◽  
Krishnan Gowri
Keyword(s):  
Building Envelope ◽  
Case Based Reasoning ◽  
Similarity Assessment ◽  
Case Based

NC-ALGORITHMS FOR OPERATIONS ON BINARY DECISION DIAGRAMS

1993 ◽  
Vol 03 (01) ◽  
pp. 3-12 ◽  
Author(s):  
DETLEF SIELING ◽  
INGO WEGENER
Keyword(s):  
Binary Decision Diagrams ◽  
Pattern Generation ◽  
Decision Diagrams ◽  
Equivalence Test ◽  
Ordered Binary Decision Diagrams ◽  
Binary Decision ◽  
Verification Test ◽  
Logical Synthesis ◽  
Redundancy Test ◽  
Nc Algorithms

(Ordered) binary decision diagrams are a powerful representation for Boolean functions and are widely used in logical synthesis, verification, test pattern generation or as part of CAD tools. NC-algorithms are presented for the most important operations on this representation, e.g. evaluation for a given input, minimization, satisfiability, redundancy test, replacement of variables by constants or functions, equivalence test and synthesis. The algorithms have logarithmic run time on CRCW COMMON PRAMs with a polynomial number of processors.

scholarly journals SIMILARITY ASSESSMENT OF COUNTRIES TO FACILITATE LEARNING FROM INTERNATIONAL CONSTRUCTION PROJECTS

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Beste Ozyurt ◽  
Gozde Bilgin ◽  
Irem Dikmen ◽  
M. Talat Birgonul
Keyword(s):  
Construction Projects ◽  
Online Questionnaire ◽  
Political Condition ◽  
Similarity Assessment ◽  
International Construction ◽  
Related Information ◽  
Financial Condition ◽  
Governance Systems ◽  
Construction Experience ◽  
The Right

Companies’ ability to learn from projects is a source of competitive advantage in project-based industries. Learning from experiences in international markets is particularly important for global contractors so that the right bidding strategy can be developed, effective project governance systems can be established, and similar mistakes are not repeated. In this study, we assert that countries can be clustered according to their similarity so that experiences gained in these markets can be transferred and adapted to forthcoming projects. Thus, similarity factors to be used for clustering of countries can be identified, and a methodology can be developed to store, retrieve and reuse country-related information in international construction projects. In this paper, we report the factors identified for similarity assessment of countries to be used to facilitate learning from projects. As a result of literature review, interviews with experts and an online questionnaire administered to company professionals who have international construction experience, 12 factors have been identified for clustering of countries. As a result of ranking analysis; factors of “development level of and culture in the construction industry”, “political condition of the country” and “financial condition of the country” are obtained as the most important factors. The identified factors will be explained and how the clustering of countries can help companies to extract valuable information from previous experiences will be discussed.

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