188,204 research outputs found
Demand Activated Transit.
No full textNavin, Francis P. D.. (1974). Demand Activated Transit.. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/208227
Modern trends in applied aquatic ecology
No full textedited by R.S. Ambasht and Navin K. Ambasht.xiv, 379 p. : ill., maps ; 26 cm
BapatCilizogluCMPS_Replication – Supplemental material for Economic coercion and the problem of sanctions-proofing
No full textSupplemental material, BapatCilizogluCMPS_Replication for Economic coercion and the problem of sanctions-proofing by Menevis Cilizoglu and Navin A Bapat in Conflict Management and Peace Science</p
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Correlation of random urine protein creatinine (P-C) ratio with 24-hour urine protein and P-C ratio, based on physical activity: a pilot study
No full textSeyed-Ali Sadjadi1,2, Navin Jaipaul1,21Jerry L Pettis Memorial VA Medical Center, 2Loma Linda University School of Medicine, Loma Linda, CA, USAAbstract: Quantification of proteinuria is usually predicated upon 24-hour urine collection. Multiple factors influence urine collection and the rate of protein and creatinine excretion. Urine collection is often incomplete, and therefore creatinine and protein excretion rates are underestimated. A random urine protein-creatinine (P-C) ratio has been shown over the years to be a reliable alternative to the 24-hour collection for detection and follow up of proteinuria. However, urine protein excretion may be influenced by physical activity. We studied 48 patients with proteinuria and varying levels of physical activity to determine the correlation between the measures of urine protein excretion. The correlation coefficient (r) between 24-hour urine total protein and random urine P-C ratio was 0.75 (P &lt; 0.01) in the overall study population, but varied according to the level of proteinuria and physical activity in a stratified analysis: r = 0.99 (P &lt; 0.001) and r = 0.95 (P &lt; 0.01) in bedridden patients; r = 0.44 (P = not significant [NS]) and r = 0.54 (P = NS) in semiactive patients; and r = 0.44 (P = NS) and r = 0.58 (P &lt; 0.05) in active patients with nephrotic- (&gt;3500 mg/day) and non-nephrotic (&lt;3500 mg/day) range proteinuria, respectively. The correlation appeared to be stronger between random urine and 24-hour urine P-C ratio for the overall study population (r = 0.84; P &lt; 0.001), and when stratified according to the level of proteinuria and physical activity: r = 0.99 (P &lt; 0.001) and r = 0.92 (P &lt; 0.01) in bedridden patients; r = 0.61 (P = NS) and r = 0.54 (P = NS) in semiactive patients; and r = 0.64 (P &lt; 0.02) and r = 0.52 (P &lt; 0.05) in active patients with nephrotic and non-nephrotic range proteinuria, respectively. We conclude that the random urine P-C ratio is a reliable and practical way of estimating and following proteinuria, but its precision and accuracy may be affected by the level of patient physical activity.Keywords: random urine, 24-hour urine, proteinuria, protein-creatinine ratio, activit
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dual Enrollment: An Instructor's Perspective
No full textThis paper addresses common arguments for and against dual enrollment from an instructor's perspective. Teaching college classes in a high school setting can present challenges for both students and their instructors; the paper focuses on frequent issues that occur and proposes solutions to ease the transition process. Evidence is also presented to answer the criticism that high school students are unprepared for college work; results from several dual enrollment Economics courses confirm that these students can not only succeed at the college level while still in high school, but in many cases outperform students in the traditional classroom.
Marriage record of Jones, Francis D. and Stevens, Stella P.
No full textMarriage license for Francis D. Jones and Stella P. Stevens. John J. Navin was the officiant
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