465 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
Lignin bioconversion based on genome mining for ligninolytic genes in Erwinia billingiae QL-Z3
No full textAbstract Background Bioconversion of plant biomass into biofuels and bio-products produces large amounts of lignin. The aromatic biopolymers need to be degraded before being converted into value-added bio-products. Microbes can be environment-friendly and efficiently degrade lignin. Compared to fungi, bacteria have some advantages in lignin degradation, including broad tolerance to pH, temperature, and oxygen and the toolkit for genetic manipulation. Results Our previous study isolated a novel ligninolytic bacterial strain Erwinia billingiae QL-Z3. Under optimized conditions, its rate of lignin degradation was 25.24% at 1.5 g/L lignin as the sole carbon source. Whole genome sequencing revealed 4556 genes in the genome of QL-Z3. Among 4428 protein-coding genes are 139 CAZyme genes, including 54 glycoside hydrolase (GH) and 16 auxiliary activity (AA) genes. In addition, 74 genes encoding extracellular enzymes are potentially involved in lignin degradation. Real-time PCR quantification demonstrated that the expression of potential ligninolytic genes were significantly induced by lignin. 8 knock-out mutants and complementary strains were constructed. Disruption of the gene for ELAC_205 (laccase) as well as EDYP_48 (Dyp-type peroxidase), ESOD_1236 (superoxide dismutase), EDIO_858 (dioxygenase), EMON_3330 (monooxygenase), or EMCAT_3587 (manganese catalase) significantly reduced the lignin-degrading activity of QL-Z3 by 47–69%. Heterologously expressed and purified enzymes further confirmed their role in lignin degradation. Fourier transform infrared spectroscopy (FTIR) results indicated that the lignin structure was damaged, the benzene ring structure and groups of macromolecules were opened, and the chemical bond was broken under the action of six enzymes encoded by genes. The abundant enzymatic metabolic products by EDYP_48, ELAC_205 and ESOD_1236 were systematically analyzed via liquid chromatography–mass spectrometry (LC–MS) analysis, and then provide a speculative pathway for lignin biodegradation. Finally, The activities of ligninolytic enzymes from fermentation supernatant, namely, LiP, MnP and Lac were 367.50 U/L, 839.50 U/L, and 219.00 U/L by orthogonal optimization. Conclusions Our findings provide that QL-Z3 and its enzymes have the potential for industrial application and hold great promise for the bioconversion of lignin into bioproducts in lignin valorization
J Community Health
No full textIntroductionAn estimated 43.5 million American adults currently smoke cigarettes. Well-designed tobacco education campaigns with adequate reach increase cessation and reduce tobacco use. Smokers report great interest in quitting but few use effective treatments including quitlines. This review examined traditional (TV, radio, print ads) versus innovative tobacco cessation (internet, social media) promotions for quitline services.MethodsBetween November 2011 and January 2012, searches were conducted on EBSCO, PubMed, Wilson, OCLC, CQ Press, Google Scholar, Gale, LexisNexis, and JSTOR.ResultsExisting literature shows that the amount of radio and print advertising, and promotion of free cessation medications increases quitline (QL) call volume. Television advertising volume seems to be the best predictor of QL service awareness. Much of the literature on Internet advertising compares the characteristics of participants recruited for studies through various channels. The majority of the papers indicated that Internet-recruited participants were younger; this was the only demographic characteristic with high agreement across studies.ConclusionsTraditional media was only studied within mass media campaigns with TV ads having a consistent impact on increasing calls to quitlines, therefore, it is hard to distinguish the impact of traditional media as an independent QL promotion intervention. With innovative media, while many QL services have a presence on social media sites, there is no literature on evaluating the effectiveness of these channels for quitline promotion.20142017-02-23T00:00:00ZCC999999/Intramural CDC HHS/United States24515948PMC5322279970
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
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
Map precipitation from landfill leachate and seawater bittern waste
No full textAuthor name used in this publication: X. Z. Li2002-2003 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishedGreen (AAM
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