460 research outputs found
PiCO QL: A software library for runtime interactive queries on program data
No full textAbstractPico ql is an open source c/c++ software whose scientific scope is real-time interactive analysis of in-memory data through sql queries. It exposes a relational view of a system’s or application’s data structures, which is queryable through sql. While the application or system is executing, users can input queries through a web-based interface or issue web service requests. Queries execute on the live data structures through the respective relational views. pico ql makes a good candidate for ad-hoc data analysis in applications and for diagnostics in systems settings. Applications of pico ql include the Linux kernel, the Valgrind instrumentation framework, a gis application, a virtual real-time observatory of stellar objects, and a source code analyser
Cultural identities as reflected in the literature of the Northern and Southern dynasties period (4th-6th centuries A.D.)
No full textDuring the period of the Northern and Southern dynasties of China identity questions became serious in a society thrown into disorder by political, religious and ethnic problems. This thesis uses three books written in the sixth century to
discuss how educated Chinese faced identity problems and how they dealt with them.
The Buddhist monk Huijiao, dealt with the problems of sinifying a foreign religion. He constructed many different identities in addition to the Buddhist one for the monks in his book Gaoseng zhuan, (Lives of Eminent Monks), a collection of biographies of Buddhist monks, to bring Buddhism closer to Chinese tradition and more acceptable by Confucian standards. Through the identity construction he
also made responses to anti-Buddhist ideas.
Yang Xuanzhi's Luoyang qielan ji, (Record of the Monasteries of Luoyang), deals with the identity problems of Chinese officials serving a Xianbei regime in
the north and of the short-lived capital of the Northern Wei in Luoyang. Yang reconstructed a Chinese identity for the lost capital as a true heir of Chinese tradition, as were the emperors, princes and officials who lived there. He created an identity defined not by ethnicity but by culture.
Yan Zhitui's Tanshi jiaxun, (Family Instruction of the Yan Clan), is a book which tells his descendants how to construct and maintain the future identity of his
own family. He drew on his own experience of recovering from repeated political catastrophes to set out an identity that would help the family to survive disordered times and maintain their status in society
QL-STCT: an intelligent routing convergence method for SDN link failure
No full textAiming at the problem of routing convergence when SDN link failure occurs, a Q-Learning sub-topological convergence technique (QL-STCT) was proposed to realize intelligent route convergence when SDN links fail.Firstly, some nodes were selected in the network as hub nodes and divides the hub domains according to the hub nodes, and the regional features were constructed with the hub domain as the unit.Secondly, the reinforcement learning agent exploration strategy was proposed by using the features to accelerate the convergence of reinforcement learning.Finally, a sub-topology network was constructed through reinforcement learning to plan the alternate path and ensure the performance of the alternate path in the periodic window.Experimental simulation results show that the proposed method effectively improves the convergence speed and performance of the link failure network
Corrigendum to “Nursing research on intimate partner violence in China: A scoping review” (The Lancet Regional Health - Western Pacific (2020) 2, (100017), (S2666606520300171), (10.1016/j.lanwpc.2020.100017))
No full textThe article entitled “Nursing research on intimate partner violence in China: A scoping review” published in The Lancet Region Health-Western Pacific (Volume 2, September 2020, 100017) has new authorship due to authorship withdrawal, and corresponding changes in the “Methods” and “Credit author statement” have been made. All original authors have agreed to the new authorship. The new authorship is as follows: *Quanlei Lia, Huaping Liub, Iat-Kio Vanc, Patricia M. Davidsona, Jacquelyn C. Campbella a School of Nursing, Johns Hopkins University, 525 N. Wolfe Street, Baltimore, MD, USA b School of Nursing, Peking Union Medical College, No. 33, Ba-Da-Chu Road, Beijing, China c Kiang Wu Nursing College of Macau, Est. Repouso No. 35, R/C, Macao SAR, China *Corresponding author Changes have been made as follows: In “2.2 Search strategy” We (QL, HL, IV) conducted a search of the literature published from database inception through January 31, 2020, in six Chinese and five English electronic databases. In “2.4 Quality assessment” Discrepancies between two reviewers were solved through discussion. In “2.5 Data extraction” IV cross-checked the extracted data to ensure accuracy. In “Credit author statement” QL, HL, and IV conducted literature search. QL and HL examined study quality. QL and HL conducted data extraction. IV cross-checked extracted data. QL made the figures, QL and HL made the tables. PD and JC contributed extensively to data interpretation and discussion. All authors contributed to study design, data analysis, data interpretation, manuscript write-up, and finalisation. DOI of original article: https://doi.org/10.1016/j.lanwpc.2020.10001
Q-learning Based Optimal False Data Injection Attack on Probabilistic Boolean Control Networks
No full textIn this paper, we present a reinforcement learning (RL) method for solving
optimal false data injection attack problems in probabilistic Boolean control
networks (PBCNs) where the attacker lacks knowledge of the system model.
Specifically, we employ a Q-learning (QL) algorithm to address this problem. We
then propose an improved QL algorithm that not only enhances learning
efficiency but also obtains optimal attack strategies for large-scale PBCNs
that the standard QL algorithm cannot handle. Finally, we verify the
effectiveness of our proposed approach by considering two attacked PBCNs,
including a 10-node network and a 28-node network
Inhibition of microbial activity of activated sludge by ammonia in leachate
No full textAuthor name used in this publication: X. L. LiAccepted ManuscriptPublishedGreen (AAM
Recovery of ammonium-nitrogen from landfill leachate as a multi-nutrient fertilizer
No full textAuthor name used in this publication: X. Z. Li2002-2003 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishedGreen (AAM
Efficiency of biological treatment affected by high strength of ammonium-nitrogen in leachate and chemical precipitation of ammonium-nitrogen as pretreatment
No full textAuthor name used in this publication: X. Z. Li2000-2001 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishedGreen (AAM
Estimation for stochastic volatility model: Quasi-likelihood and asymptotic quasi-likelihood approaches
No full textAbstractFor estimation of the stochastic volatility model (SVM), this paper suggests the quasi-likelihood (QL) and asymptotic quasi-likelihood (AQL) methods. The QL approach is quite simple and does not require full knowledge of the likelihood functions of the SVM. The AQL technique is based on the QL method and is used when the covariance matrix Σ is unknown. The AQL approach replaces the true variance–covariance matrix Σ by nonparametric kernel estimator of Σ in QL
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