5,099 research outputs found
Discrete Redox Signaling Pathways Regulate Photosynthetic Light-Harvesting and Chloroplast Gene Transcription
No full textThis is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Extracorporeal shock-wave lithotripsy of bile duct calculi. An interim report of the Dornier US Bile Duct Lithotripsy Prospective Study.
No full textPT: J; CR: 1983, JAMA-J AM MED ASSOC, V250, P2373 ALLEN MJ, 1985, GASTROENTEROLOGY, V88, P122 ALLEN MJ, 1985, GASTROENTEROLOGY, V89, P1097 ALLEN MJ, 1985, NEW ENGL J MED, V312, P217 BECKER CD, 1987, AJR, V148, P1121 BECKER CD, 1987, CAN J SURG, V30, P418 BECKER CD, 1987, RADIOLOGY, V165, P407 BRENDEL W, 1983, LANCET, V1, P1054 BRENDEL W, 1985, ENTEROHEPATIC CIRCUL, P381 BROWN BP, 1988, ARCH SURG-CHICAGO, V123, P91 BURHENNE HJ, 1988, AJR, V150, P1279 BURNS JR, IN PRESS J LITHOTRIP CHAUSSY C, 1982, J UROLOGY, V127, P417 DELIUS M, 1987, ULTRASOUND MED BIOL, V13, P61 DEMLING L, 1984, ENDOSCOPY, V16, P226 DRACH GW, 1986, J UROLOGY, V135, P1127 FUJITA R, 1988, GASTROINTEST ENDOSC, V34, P91 HIGUCHI T, 1987, ENDOSCOPY, V19, P216 HO CS, 1987, RADIOLOGY, P791 HWANG MH, 1987, ENDOSCOPY, V19, P24 KAPLAN EL, 1958, J AM STAT ASSOC, V53, P457 KOCH H, 1977, ENDOSCOPY, V9, P95 LIGUORY CL, 1987, ENDOSCOPY, V19, P237 MATSUMOTO S, 1987, SURGERY, V102, P852 NEUBRAND M, 1986, DIGESTION, V34, P51 NEWMAN RC, 1988, J SURG RES, V44, P573 NEWMANN RC, 1988, J SURG RES, V44, P578 OWENS WD, 1978, ANESTHESIOLOGY, V49, P239 RIEMANN JF, 1982, ENDOSCOPY, V14, P226 RIEMANN JF, 1983, ENDOSCOPY, V15, P111 SACKMANN M, 1987, ANN INTERN MED, V107, P347 SACKMANN M, 1988, NEW ENGL J MED, V318, P393 SAUERBRUCH T, 1986, NEW ENGL J MED, V314, P818 SPEER AG, 1988, MED J AUSTRALIA, V148, P590 STARITZ M, 1983, ENDOSCOPY, V15, P316 TANAKA M, 1985, SURGERY, V98, P313 TAYLOR MC, 1988, ANN SURG, V208, P586; NR: 37; TC: 51; J9: ANN SURG; PG: 13; GA: AA433Source type: Electronic(1
Comparison of preference for rizatriptan 10-mg wafer versu sumatriptan 50-mg tablet in migraine
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Paradox of proximity – trust and provenance within the context of social networks and policy
No full textWith social networks evolving and integrating within traditional policy domains, the question arises - do we have in our hands a tool for genuine participation, transparency and dialogue, or are the concerns surrounding privacy, trust, provenance and localization still haunting and shaping the arena? In this paper, we discuss this very question via the illustrative lens of the WeGov Project. We start by providing a critical rethinking of e-governance within the context of social media. We then move onto an in depth look at the WeGov project, its toolkit, end-user engagement strategies and methodologies. Finally we draw from our findings some critical insights into the impacts on and implications of such technologies for the policy-making environment. We conclude with a set of recommendations for future work in this area as well as a summary of key lessons learnt within this innovative initiativ
Business Model Innovation of JF Logistics Company
No full text摘要 随着全球化经济的发展，市场竞争变得越来越复杂。信息时代使得物流供应链管理已上升到企业的战略管理高度。在这样的背景下，本文应用翁君奕老师的介观商务模式创新观点，对JF物流公司所处行业现状进行剖析，重新审视了外部客户市场以及内部自身情况，找出了JF物流公司自身的优势，并结合外部市场客户的需求，提出了“为客户提供个性化的集物流、资金流、信息流于一体的供应链物流服务”这一价值主张，并在此基础上，重新定位客户市场，创新服务产品，理顺内部管理架构和业务流程以支撑和保持这一价值主张。文中同时以例证来说明依据新价值主张所创新的服务产品给JF物流公司所带来的变化，以此说明通过商务模式创新来实行自身的战略...Abstract With the development of the global economy, the competition in market becomes more complicated. In the era of information, logistics and supply chain management is regarded as important as part of the company strategy. Under such background , the author of this essay uses the concept of “JieGuan Business Model Innovation” proposed by Professor Weng Junyi of Xiamen University, and analy...学位：管理学硕士院系专业：管理学院高级经理教育中心（EMBA项目）_管理经济学学号：X200615614
Temporal and spatial variability in speakers with Parkinson's Disease and Friedreich's Ataxia
No full textSpeech variability in groups of speakers with Parkinson's disease (PD) and with Friedreich's ataxia was compared with healthy controls. Speakers repeated the same phrase 20 times at one of two rates (fast or habitual). A non-linear analysis of variability was performed which used some of the principles behind the spatio-temporal index (STI). The STI usually employs variation in lip displacement over repetitions of the same utterance and a linear analysis of such signals is conducted to represent the combined variation in spatial and temporal control. When working with patients, audio measures (here we used speech energy) are preferred over kinematics ones as they are minimally disruptive to speech. Non-linear methods allow spatial variability to be estimated separately from temporal variability. The results are tentatively interpreted as showing that PD speakers were distinguished from healthy control speakers in spatial variability and ataxic speakers were distinguished from controls in temporal variability. These findings are consistent with the speech symptoms reported for these disorders. We conclude that the non-linear analysis using the speech energy measure is worth investigating further as it is potentially revealing of the differences underlying these two pathologies
Arabidopsis Mutants with Strongly Reduced Levels of the T-Protein Subunit of Glycine Decarboxylase
No full textEngel N, Eisenhut M, Qu N, Bauwe H. Arabidopsis Mutants with Strongly Reduced Levels of the T-Protein Subunit of Glycine Decarboxylase. In: Allen JF, Gantt E, Golbeck JH, Osmond B, eds. Photosynthesis. Energy from the Sun : 14th International Congress on Photosynthesis. Dordrecht: Springer Netherlands; 2008: 819-822
Hundreds of variants clustered in genomic loci and biological pathways affect human height
No full textMost common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits(1), but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait(2,3). The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P<0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways
Additional file 6 of Prevalence of chronic cough in China: a systematic review and meta-analysis
No full textAdditional file 6. Fig. S1. Distribution of children with chronic cough across Mainland China. NOTE: Red star in the map represents Beijing City. The map was developed in XL Toolbox NG by ourselves, without the conflict of copyright. Fig. S2. Pooled chronic cough prevalence of adults stratified by region. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S3. Pooled chronic cough prevalence of adults stratified by diagnostic criteria. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S4. Pooled chronic cough prevalence of adults stratified by year of publication. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S5. Pooled chronic cough prevalence of adults stratified by age. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S6. Pooled chronic cough prevalence of adults stratified by sampling methods. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S7. Pooled chronic cough prevalence of adults stratified by sample size. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S8. Pooled chronic cough prevalence of adults stratified by prevalence definitions. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S9. Pooled chronic cough prevalence of adults stratified by chronic cough definitions. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S10. Pooled chronic cough prevalence of adults stratified by quality of articles assessed by AHRQ. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S11. Pooled chronic cough prevalence of children stratified by region. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S12. Pooled chronic cough prevalence of children stratified by diagnostic criteria. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S13. Pooled chronic cough prevalence of children stratified by year of publication. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S14. Pooled chronic cough prevalence of children stratified by sample size. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S15. Pooled chronic cough prevalence of children stratified by chronic cough definitions. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S16. Pooled chronic cough prevalence of children stratified by quality of articles assessed by AHRQ. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S17. Pooled chronic cough prevalence of children stratified by prevalence definitions. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S18. Funnel plot for prevalence in studies of adults for chronic cough. Fig. S19. Sensitivity analysis for prevalence in studies of adults for chronic cough. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S20. The prevalence of chronic cough in adults after exclusion of the nationwide study (Li JC 2018). Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S21. The prevalence of chronic cough in adults after exclusion of the low prevalence study (ZHANG JF 1999). Abbreviations: CI, confidence intervals. NOTE: The two author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S22. Funnel plot for prevalence in studies of children for chronic cough. Fig. S23. Sensitivity analysis for prevalence in studies of children for chronic cough. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S24. Pooled prevalence of chronic cough in China (including adults and children). Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, the two author labels of Venners 2001 are from the same literature, and the four author labels of ZHANG JF 2002 are from the same literature
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