Quantitative method for network security situation based on attack prediction by Hao HU, Run-guo YE, Hong-qi ZHANG, Ying-jie YANG, Yu-ling LIU

“…To predict the attack behaviors accurately and comprehensively as well as to quantify the threat of attack,a quantitative method for network security situation based on attack prediction was proposed.By fusing the situation factors of attacker,defender and network environment,the capability of attacker and the exploitability rate of vulnerability were evaluated utilizing the real-time detected attack events,and the expected time-cost for attack-defense were further calculated.Then an attack prediction algorithm based on the dynamic Bayesian attack graph was designed to infer the follow-up attack actions.At last,the attack threat was quantified as the security risk situation from two levels of the hosts and the overall network.Experimental analysis indicates that the proposed method is suitable for the real adversarial network environment,and is able to predict the occurrence time of attack accurately and quantify the attack threat reasonably.…”
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AI-assisted discovery of quantitative and formal models in social science by Julia Balla, Sihao Huang, Owen Dugan, Rumen Dangovski, Marin Soljačić

“…Abstract In social science, formal and quantitative models, ranging from ones that describe economic growth to collective action, are used to formulate mechanistic explanations of the observed phenomena, provide predictions, and uncover new research questions. …”
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Automated Quantification of Retinopathy of Prematurity Stage via Ultrawidefield OCT by Spencer S. Burt, BA, Aaron S. Coyner, PhD, Elizabeth V. Roti, BS, Yakub Bayhaqi, PhD, John Jackson, MD, Mani K. Woodward, MS, Shuibin Ni, PhD, Susan R. Ostmo, MS, Guangru Liang, BS, Yali Jia, PhD, David Huang, MD, Michael F. Chiang, MD, Benjamin K. Young, MD, Yifan Jian, PhD, John Peter Campbell, MD

“…This study evaluates whether the volume of anomalous NVT (ANVTV), defined as abnormal tissue protruding from the regular contour of the retina, can be measured automatically using deep learning to develop quantitative OCT-based biomarkers in ROP. Design: Single-center retrospective case series. …”
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Bayesian Estimation of Archimedean Copula-Based SUR Quantile Models by Nachatchapong Kaewsompong, Paravee Maneejuk, Woraphon Yamaka

“…The real data analysis is also provided, and the empirical comparison indicates our proposed model outperforms the conventional models in all considered quantile levels.…”
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Measuring climate knowledge: A systematic review of quantitative studies by Maruša Lubej, Žiga Petraš, Andrej Kirbiš

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Using side-channel and quantization vulnerability to recover DNN weights by Jinghai LI, Ming TANG, Chengxuan HUANG

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Quantitative MR Analysis of Changes in the Radius Bone Marrow in Osteoporosis by Tamar K. De-Levie, Yael S. Schiffenbauer, Ido Druckmann, Vanessa Rouach, Naftali Stern, Itzhak Binderman, Uri Nevo

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Common Expression Quantitative Trait Loci Shared by Histone Genes by Hanseol Kim, Yujin Suh, Chaeyoung Lee

“…A genome-wide association study (GWAS) was conducted to examine expression quantitative trait loci (eQTLs) for histone genes. We examined common eQTLs for multiple histone genes in 373 European lymphoblastoid cell lines (LCLs). …”
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Combining ability for quantitative traits related to productivity in durum wheat by R. G. Dragov

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Quantitative evaluation of fault propagation in a commercial cloud system by Chao Wang, Zhongchuan Fu

“…Hardware faults induced by high energy density environments can be injected; the fault propagation through the cloud software stack is traced, and quantitatively evaluated. Experimental results show that the integrated fault detection mechanism of the cloud system, such as fatal trap detectors, has left a detection margin of 20% silent data corruption to narrow down. …”
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Ultrasensitive detection and quantification of bovine Deltapapillomavirus in the semen of healthy horses by Anna Cutarelli, Francesca De Falco, Francesco Serpe, Simona Izzo, Giovanna Fusco, Cornel Catoi, Sante Roperto

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Bipartite Containment Control for Multiagent Systems with Adaptive Quantization Information by Jie Wu, Heng Lei, Xisheng Zhan

“…Based on an adaptive quantization information distributed observer, the authors introduce an output feedback protocol to study bipartite containment control. …”
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Quantitative Controllability Metric for Disturbance Rejection in Linear Unstable Systems by Haemin Lee, Jinseong Park

“…This paper introduces a novel Gramian-based quantitative metric to evaluate the disturbance rejection capabilities of linear unstable systems. …”
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Optimizing the selection of quantitative traits in plant breeding using simulation by Rafael Augusto Vieira, Ana Paula Oliveira Nogueira, Roberto Fritsche-Neto

“…This review summarizes findings from simulation studies on quantitative traits in plant breeding and translates these insights into practical schemes. …”
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Quantitative analysis of BGP convergence and its influence on network performance by ZHAO Jin-jing, ZHU Pei-dong, LU Xi-cheng

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The Quantitative Analysis of bFGF and VEGF by ELISA in Human Meningiomas by Yves Denizot, Rafael De Armas, François Caire, Jean Jacques Moreau, Isabelle Pommepuy, Véronique Truffinet, François Labrousse

“…It is, thus, tempting to speculate that ELISA would also be valuable for the quantitative analysis of other angiogenic growth factors and cytokines in intracranial tumours.…”
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Compilation of Smart Cities Attributes and Quantitative Identification of Mismatch in Rankings by Osama A. Marzouk

“…As a fourth objective, statistical analysis of the evaluation results was conducted, with quantitative assessment of rankings mismatch.…”
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Machine learning based quantitative pain assessment for the perioperative period by Gayeon Ryu, Jae Moon Choi, Hyeon Seok Seok, Jaehyung Lee, Eun-Kyung Lee, Hangsik Shin, Byung-Moon Choi

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Quantification of Metabolic Acidosis at Bedside by S.A.L.T Approach by Harshitha Seshadri, Anitha Nileshwar, Shwethapriya Rao, Nisha Sara M. Jacob

“…The aim of the study was to compare the utility of quantitative David Story’s simplified Stewart approach against traditional approach to analyze metabolic acidosis. …”
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Quantitative evaluation of the molecular marker using droplet digital PCR by Wonseok Shin, Haneul Kim, Dong-Yep Oh, Dong Hee Kim, Kyudong Han

“…However, PCR is defective with various final copy quantifications from every sample. Thus, we applied to the droplet digital PCR (ddPCR) platform for accurate quantitative detection of the Hanwoo-specific SV. …”
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