References of "Zhang, Yang 50003358"
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See detailAn Empirical Study on User Access Control in Online Social Networks
Ni, Minyue; Zhang, Yang UL; Han, Weili et al

in Proceedings of the 21st ACM Symposium on Access Control Models and Technologies (SACMAT'16) (2016)

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See detailA new access control scheme for Facebook-style social networks
Pang, Jun UL; Zhang, Yang UL

in Computers & Security (2015), 54

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See detailLocation prediction: Communities speak louder than friends
Pang, Jun UL; Zhang, Yang UL

in Proceedings of the 3rd ACM Conference on Online Social Networks (COSN'15) (2015)

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See detailA logical approach to restricting access in online social networks
Cramer, Marcos UL; Pang, Jun UL; Zhang, Yang UL

in Proceedings of the 20th ACM Symposium on Access Control Models and Technologies (2015)

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See detailPharmacological characterization of an antisense knockdown zebrafish model of Dravet syndrome: Inhibition of epileptic seizures by the serotonin agonist fenfluramine
Zhang, Yang UL; Kecskés, A.; Copmans, D. et al

in PLoS ONE (2015), 10(5),

Dravet syndrome (DS) is one of the most pharmacoresistant and devastating forms of childhood epilepsy syndromes. Distinct de novo mutations in the SCN1A gene are responsible for over 80% of DS cases ... [more ▼]

Dravet syndrome (DS) is one of the most pharmacoresistant and devastating forms of childhood epilepsy syndromes. Distinct de novo mutations in the SCN1A gene are responsible for over 80% of DS cases. While DS is largely resistant to treatment with existing anti-epileptic drugs, promising results have been obtained in clinical trials with human patients treated with the serotonin agonist fenfluramine as an add-on therapeutic. We developed a zebrafish model of DS using morpholino antisense oligomers (MOs) targeting scn1Lab, the zebrafish ortholog of SCN1A. Zebrafish larvae with an antisense knockdown of scn1Lab (scn1Lab morphants) were characterized by automated behavioral tracking and high-resolution video imaging, in addition to measuring brain activity through local field potential recordings. Our findings reveal that scn1Lab morphants display hyperactivity, convulsive seizure-like behavior, loss of posture, repetitive jerking and a myoclonic seizure-like pattern. The occurrence of spontaneous seizures was confirmed by local field potential recordings of the forebrain, measuring epileptiform discharges. Furthermore, we show that these larvae are remarkably sensitive to hyperthermia, similar to what has been described for mouse models of DS, as well as for human DS patients. Pharmacological evaluation revealed that sodium valproate and fenfluramine significantly reduce epileptiform discharges in scn1Lab morphants. Our findings for this zebrafish model of DS are in accordance with clinical data for human DS patients. To our knowledge, this is the first study demonstrating effective seizure inhibition of fenfluramine in an animal model of Dravet syndrome. Moreover, these results provide a basis for identifying novel analogs with improved activity and significantly milder or no side effects. © 2015 Zhang et al. [less ▲]

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See detailEvent prediction with community leaders
Pang, Jun UL; Zhang, Yang UL

in Proceedings of the 10th International Conference on Availability, Reliability and Security (ARES'15) (2015)

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See detailExploring communities for effective location prediction
Pang, Jun UL; Zhang, Yang UL

in Proceedings of the 24th World Wide Web Conference (2015)

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See detailCommunity-Driven Social Influence Analysis and Applications
Zhang, Yang UL; Pang, Jun UL

in Proceedings of the 15th International Conference on Web Engineering (2015)

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See detailInferring friendship from check-in data of location-based social networks
Cheng, Ran; Pang, Jun UL; Zhang, Yang UL

in Proceedings of the 7th International Conference on Advances in Social Networks Analysis and Mining (ASONAM'15) (2015)

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See detailCryptographic protocols for enforcing relationship-based access control policies
Pang, Jun UL; Zhang, Yang UL

in Proceedings of the 39th Annual IEEE Computers, Software & Applications Conference (COMPSAC'15) (2015)

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See detailA new access control scheme for Facebook-style social networks
Pang, Jun UL; Zhang, Yang UL

in Proceedings of the 9th Conference on Availability, Reliability and Security (ARES 2014, Best Paper Award) (2014)

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See detailTwisted Edwards-Form Elliptic Curve Cryptography for 8-bit AVR-based Sensor Nodes
Chu, Dalin; Groszschädl, Johann UL; Liu, Zhe UL et al

in Chen, Kefei; Xie, Qi; Qiu, Weidong (Eds.) et al Proceedings of the first ACM Workshop on Asia Public-Key Cryptography (ASIAPKC 2013) (2013, May)

Wireless Sensor Networks (WSNs) pose a number of unique security challenges that demand innovation in several areas including the design of cryptographic primitives and protocols. Despite recent progress ... [more ▼]

Wireless Sensor Networks (WSNs) pose a number of unique security challenges that demand innovation in several areas including the design of cryptographic primitives and protocols. Despite recent progress, the efficient implementation of Elliptic Curve Cryptography (ECC) for WSNs is still a very active research topic and techniques to further reduce the time and energy cost of ECC are eagerly sought. This paper presents an optimized ECC implementation that we developed from scratch to comply with the severe resource constraints of 8-bit sensor nodes such as the MICAz and IRIS motes. Our ECC software uses Optimal Prime Fields (OPFs) as underlying algebraic structure and supports two different families of elliptic curves, namely Weierstraß-form and twisted Edwards-form curves. Due to the combination of efficient field arithmetic and fast group operations, we achieve an execution time of 5.8*10^6 clock cycles for a full 158-bit scalar multiplication on an 8-bit ATmega128 microcontroller, which is 2.78 times faster than the widely-used TinyECC library. Our implementation also shows that the energy cost of scalar multiplication on a MICAz (or IRIS) mote amounts to just 19 mJ when using a twisted Edwards curve over a 160-bit OPF. This result compares fairly well with the energy figures of two recently-presented hardware designs of ECC based on twisted Edwards curves. [less ▲]

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