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Verifier-local revocation group signatures with backward unlinkability from lattices Research Articles

Yanhua ZHANG, Ximeng LIU, Yupu HU, Yong GAN, Huiwen JIA

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 6, Pages 876-892 doi: 10.1631/FITEE.2000507

Abstract: flexible choice, because it requires only that verifiers download up-to-date revocation information for signatureOur new scheme enjoys an (log) factor saving for bit-sizes of the group public-key (GPK) and the member

Keywords： Group signature Lattice-based cryptography Verifier-local revocation Backward unlikability Short

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Design of bio-oil additives via molecular signature descriptors using a multi-stage computer-aided molecular

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 168-182 doi: 10.1007/s11705-021-2056-8

Abstract: different property prediction models consist different levels of structural information, molecular signature

Keywords： computer-aided molecular design bio-oil additives molecular signature descriptor

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A review of intelligent optimization for group scheduling problems in cellular manufacturing

Frontiers of Engineering Management Pages 406-426 doi: 10.1007/s42524-022-0242-0

Abstract: Given that group technology can reduce the changeover time of equipment, broaden the productivity, andenhance the flexibility of manufacturing, especially cellular manufacturing, group scheduling problemsproduction cells in view of major setup times between groups and the other is how to schedule jobs in each groupoutlooks are given for outspread problems and problem algorithms for future research in the fields of group

Keywords： cellular manufacturing group scheduling flowshop literature review

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Efficient identity-based signature over NTRU lattice

Jia XIE,Yu-pu HU,Jun-tao GAO,Wen GAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2, Pages 135-142 doi: 10.1631/FITEE.1500197

Abstract:

Identity-based signature has become an important technique for lightweight authentication as soonThereafter, identity-based signature schemes based on the integer factorization problem and discreteIn this study, an efficient identity-based signature scheme is presented over the number theory researchThe new scheme is more efficient than other lattice- and identity-based signature schemes.

Keywords： Identity Signature Lattice Number theory research unit (NTRU)

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Certificateless broadcast multi-signature for network coding Research Article

Huifang YU, Zhewei QI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9, Pages 1369-1377 doi: 10.1631/FITEE.2200271

Abstract: To solve these problems, the certificateless broadcast multi-signature for (NC-CLBMS) method is devised, where each source node user generates a multi-signature about the message vector, and the intermediateNC-CLBMS is a multi-source multi-signature method with anti-pollution and anti-forgery advantages; moreover, it has a fixed signature length and its computation efficiency is very high.

Keywords： Network coding Certificateless multi-signature Linear combination Homomorphic hash function

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Emergence mechanisms of group consensus in social networks

Frontiers of Engineering Management doi: 10.1007/s42524-023-0277-x

Abstract: This article redefines group consensus as the emergence of collective intelligence resulting from self-organizingactions and interactions of individuals within a social network group.In our exploration of extant research on group consensus, we illuminate two frequently underestimatedThis process encompasses self-organized communication and interaction among group members, collectivelyguiding the group towards cognitive convergence and viewpoint integration.

Keywords： group consensus social network collective intelligence

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Tribological mechanism of carbon group nanofluids on grinding interface under minimum quantity lubrication

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0733-z

Abstract: Carbon group nanofluids can further improve the friction-reducing and anti-wear properties of minimumHowever, the formation mechanism of lubrication films generated by carbon group nanofluids on MQL grindingThree kinds of carbon group nanoparticles, i.e., nanodiamond (ND), carbon nanotube (CNT), and grapheneUnder the nanofluid MQL condition, the carbon group nanoparticles further enhanced the tribological performance

Keywords： grinding minimum quantity lubrication carbon group nanofluid tribological mechanism

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Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature

Frontiers of Medicine 2023, Volume 17, Issue 4, Pages 768-780 doi: 10.1007/s11684-023-0982-1

Abstract: Previous studies have revealed that patients with hypertrophic cardiomyopathy (HCM) exhibit differences in symptom severity and prognosis, indicating potential HCM subtypes among these patients. Here, 793 patients with HCM were recruited at an average follow-up of 32.78 ± 27.58 months to identify potential HCM subtypes by performing consensus clustering on the basis of their echocardiography features. Furthermore, we proposed a systematic method for illustrating the relationship between the phenotype and genotype of each HCM subtype by using machine learning modeling and interactome network detection techniques based on whole-exome sequencing data. Another independent cohort that consisted of 414 patients with HCM was recruited to replicate the findings. Consequently, two subtypes characterized by different clinical outcomes were identified in HCM. Patients with subtype 2 presented asymmetric septal hypertrophy associated with a stable course, while those with subtype 1 displayed left ventricular systolic dysfunction and aggressive progression. Machine learning modeling based on personal whole-exome data identified 46 genes with mutation burden that could accurately predict subtype propensities. Furthermore, the patients in another cohort predicted as subtype 1 by the 46-gene model presented increased left ventricular end-diastolic diameter and reduced left ventricular ejection fraction. By employing echocardiography and genetic screening for the 46 genes, HCM can be classified into two subtypes with distinct clinical outcomes.

Keywords： machine learning methods hypertrophic cardiomyopathy genetic risk

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Novel efficient identity-based signature on lattices

Jiang-shan Chen, Yu-pu Hu, Hong-mei Liang, Wen Gao,JSChen@mnnu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2, Pages 141-286 doi: 10.1631/FITEE.1900318

Abstract: With the rapid development of electronic information technology, digital signature has become an indispensableTo overcome this problem, we construct an IBS scheme on s by employing Lyubashevsky’s signature scheme

Keywords： Identity-based signature Lattice Strong unforgeability Random oracle model

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An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support

Zeshui XU, Shen ZHANG

Frontiers of Engineering Management 2019, Volume 6, Issue 2, Pages 163-182 doi: 10.1007/s42524-019-0017-4

Abstract: Thus, the HFS has its unique advantages in group decision making (GDM).

Keywords： hesitant fuzzy set hesitant fuzzy preference relation group decision-making

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Lignin-based polymer with high phenolic hydroxyl group content prepared by the alkyl chain bridging method

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 8, Pages 1075-1084 doi: 10.1007/s11705-022-2272-x

Abstract: Inspired by the importance of the phenolic group to the electron transporting property of hole transportThe results showed that the phenolic group was boosted from 0.81 mmol∙g^–1 of LS to 1.19 mmolThe results indicate that the phenolic hydroxyl group of lignin can be easily boosted by the alkyl chain

Keywords： lignosulfonate phenolic group PEDOT:PLS hole extract layer energy level

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High frequency group pulse electrochemical machining

WU Gaoyang, ZHANG Zhijing, ZHANG Weimin, TANG Xinglun

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3, Pages 293-296 doi: 10.1007/s11465-007-0051-5

Abstract: the process of machining ultrathin metal structure parts, the signal composition of high frequency grouppulse, the influence of frequency to reverse current, and the design of the cathode in high frequency groupHigh frequency group pulse electrochemical machining can be successfully used in machining micro-parts

Keywords： HGPECM process machining quality passivation inter-electrode

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Carcinogens that induce the A:T>T:A nucleotide substitutions in the genome

Guangbiao Zhou, Xinchun Zhao

Frontiers of Medicine 2018, Volume 12, Issue 2, Pages 236-238 doi: 10.1007/s11684-017-0611-y

Abstract:

Recently, Ng . reported that the A:T>T:A substitutions, proposed to be a signature of aristolochicchloride and its reactive metabolites chloroethylene oxide, melphalan and chlorambucil, also cause this signature

Keywords： genomic signature carcinogen aristolochic acid tobacco smoke vinyl chloride hepatocellular carcinoma

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The Group Interaction Field for Learning and Explaining Pedestrian Anticipation

Xueyang Wang,Xuecheng Chen,Puhua Jiang,Haozhe Lin,Xiaoyun Yuan,Mengqi Ji,Yuchen Guo,Ruqi Huang,Lu Fang,

Engineering doi: 10.1016/j.eng.2023.05.020

Abstract: While group relationships and group interactions are ubiquitous and significantly influence pedestrianHere, we propose the group interaction field (GIF), a novel group-aware representation that quantifiesGIFNet quantifies the influence of group behaviors by formulating a group interaction graph with propagationand graph attention that is adaptive to the group size and dynamic interaction states.the GIF effectively represents the change in pedestrians’ anticipation under the prominent impact of group

Keywords： Human behavior modeling and prediction Implicit representation of pedestrian anticipation Group interaction

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Group III metabotropic glutamate receptors and drug addiction

Limin Mao, Minglei Guo, Daozhong Jin, Bing Xue, John Q. Wang

Frontiers of Medicine 2013, Volume 7, Issue 4, Pages 445-451 doi: 10.1007/s11684-013-0291-1

Abstract: Accumulating data have demonstrated roles of ionotropic glutamate receptors and group I and II metabotropicEmerging evidence also identifies Gαi/o-coupled group III mGluRs (mGluR4/7/8 subtypes enrichedcommon addictive drugs, such as psychostimulants (cocaine and amphetamine), alcohol and opiates, limbic groupAs a result, a loss-of-function mutation (knockout) of individual group III receptor subtypes often promotesThis review summarizes the data from recent studies on three group III receptor subtypes (mGluR4/7/8)

Keywords： group III metabotropic glutamate receptors cocaine amphetamine alcohol opiate