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20 results for “piggybacking”
Fig. 12 in Piggyback whorls: A new theoretical morphologic model reveals constructional linkages among morphological characters in ammonoids
Fig. 12. The same morphospaces as Fig. 11 showing the distribution of 115 species based on measurements.
Fig. 10 in Piggyback whorls: A new theoretical morphologic model reveals constructional linkages among morphological characters in ammonoids
Fig. 10. Measurements of the whorl expansion rate (Wc) and width of umbilicus (D). Note that c1 and c2 are defined as the distances from the coiling axis to the centers of the whorls. d1 and d2 are distances of umbilical seams from the coiling axis.
Fig. 8 in Piggyback whorls: A new theoretical morphologic model reveals constructional linkages among morphological characters in ammonoids
Fig. 8. Sketches of radial cross sections of ammonoids to illustrate various types of shell forms, such as planorbicone (A, B), serpenticone (C, D), oxycone (E), discocone (F), platycone (G, H), spherocone (I, J, K), and cadicone (L). A. Paraceltites elegans. B. Pseudoclymenia dillensis. C. Tropigastrites lahontanus. D. Pterolytoceras sp. E. Beloceras sp. F. Phylloceras consanguineum Gemmellaro. G. Craspedites sp. H. Tetragonites glabrus. I. Damesites sugata. J. Goniatites multiliratus Gordon. K. Latanarcestes sp. L. Cabrieroceras sp.
Fig. 9 in Piggyback whorls: A new theoretical morphologic model reveals constructional linkages among morphological characters in ammonoids
Fig. 9. Theoretical morphospace composed of ae and ar displaying several examples of computer−generated ammonoids that represent observed types illustrated in Fig. 8. A. e = 1.5 and r = 0.27. B. e = 1.75 and r = 0.34. C. e = 2.0 and r = 0.17. D. e = 2.3 and r = 0.05. E. e = 2.0 and r = 0.6. F. e = 1.7 and r = 0.27. G. e = 1.8 and r = 0.24. H. e = 2.3 and r = 0.21. I. e = 2.3 and r = 0.32. J. e = 1.95 and r = 0.28. K. e = 1.8 and r = 0.10. L. e = 1.6 and r = 0.8.
Fig. 7 in Piggyback whorls: A new theoretical morphologic model reveals constructional linkages among morphological characters in ammonoids
Fig. 7. Relationship between whorl perimeter (L) and square root of cross−sectional area of the whorl (A0.5) which varies with aand avalues. Dashed line i e r in each diagram represents the A0.5/Lcurve in the case of isometry of E and R (a= a= 1.0). A0.5/Lis generally small when ahas a large value. In each i e r i r model, e = 1.9 and r = 0.24.
Fig. 11 in Piggyback whorls: A new theoretical morphologic model reveals constructional linkages among morphological characters in ammonoids
Fig. 11. Results of computer simulations. A–D, theoretical morphospaces based on the piggyback whorls model composed of ae and ar showing values of shape parameters (S, A0.5/L, W, D) of a theoretical model corresponding to each combination of aand a. E, negative correlation between Wand S values i c e r c obtained from theoretical models. F, positive correlation between D and S. The values of S, A0.5/L, Wor D are exhibited by the size of the plots, and × indii c cates that a "forbidden" combinations of ae, ar, e, and r was employed in each simulation resulting in failure of defining form (A–D).
Fig. 6 in Piggyback whorls: A new theoretical morphologic model reveals constructional linkages among morphological characters in ammonoids
Fig. 6. Allometric growth of ammonoids. Computer models were generated with ae and ar values of 0.97, 1.0, and 1.3. Each diagram shows ontogenetic change in relationship between whorl height (H) and whorl breadth (B) that are standardized by the perimeter of the last whorl (Lmax). Dashed line in each diagram represents the B/H curve in the case of isometry of E and R (ae = ar = 1.0). Note that B/H decreases with growth in the case of ar = 0.97. In each model, e = 1.9 and r = 0.24.
Fig. 5 in Piggyback whorls: A new theoretical morphologic model reveals constructional linkages among morphological characters in ammonoids
Fig. 5. Spectrum of the computer−produced ammonoids with various values of E and R when each of them is fixed throughout growth.
Fig. 4 in Piggyback whorls: A new theoretical morphologic model reveals constructional linkages among morphological characters in ammonoids
Fig. 4. Schematic diagram of an ammonoid whorl section. The shape of the whorl (S) is represented by the closed curve illustrated here which is given by the parametric equations indicated above the diagram. Figures in the right show examples of hypothetical whorl shapes with systematically varying the S value.
Fig. 3 in Piggyback whorls: A new theoretical morphologic model reveals constructional linkages among morphological characters in ammonoids
Fig. 3. Different shapes of succeeding whorl (gray area) piling up on the hemispherical preceding whorl with same Li, l, and A values.
Fig. 2 in Piggyback whorls: A new theoretical morphologic model reveals constructional linkages among morphological characters in ammonoids
Fig. 2. Schematic figure of a cross section of the ammonoid shell showing how to define parameters of the piggyback whorls model. The enlarging rate of the whorl periphery (E) is defined as the ratio of the total perimeter of the newly added whorl section (Li) to that of preceding whorl (Li–1). The proportion of the dorsal whorl (R) is given by the ratio of the circumferential length along the dorsal wall (l) with respect to Li. The shape of the whorl section (S) is represented by the ratio of breadth (B) and height (H) of the whorl.
Fig. 1 in Piggyback whorls: A new theoretical morphologic model reveals constructional linkages among morphological characters in ammonoids
Fig. 1. Radial cross sections of ammonoids to illustrate allometric growth. A. Beloceras sp., Devonian; Erfoud, Morocco. B. Phylloceras consanguineum Gemmellaro, 1876, Jurassic; Sakaraha, Madagascar. C. Meekoceras gracilitatis White, 1879, Triassic; Crittenden Spring, Nevada. D. Girtyoceras meslerianum (Girty, 1909), Carboniferous; Jackforth Creek, Oklahoma.
Fig. 13 in Piggyback whorls: A new theoretical morphologic model reveals constructional linkages among morphological characters in ammonoids
Fig. 13. Results of same computer simulations as shown in Fig. 11 with an ornamented whorl shape. In order to produce an ornamented closed curve, the following parametric equations were used: x = 0.5Bcoso, y = 0.5H(sino + 0.3|sin4o|Q), where Q = H/B/5 if o Ṥ π, while Q = 5B/H if o> π. Note that simulated S values tend to be large as compared with Fig. 11F.
Cashtag Piggybacking dataset - Twitter dataset enriched with financial data
<p>This dataset is composed of </p> <ul> <li>Twitter dataset of ~9M tweets mentioning stocks (cashtags) traded on the most important US markets, shared between May and September 2017 (users data enriched with bot classification label)</li> <li>Financial information about ~30k companies found in those tweets, retrieved from Google Finance</li> </ul> <p>Refer to the paper below for more details.</p> <p>Cresci, S., Lillo, F., Regoli, D., Tardelli, S., & Tesconi, M. (2019). Cashtag Piggybacking: Uncovering Spam and Bot Activity in Stock Microblogs on Twitter. <em>ACM Transactions on the Web (TWEB)</em>, <em>13</em>(2), 11.</p>
Piggyback Sulcoflex Toric IOL for Correcting Refractive Error Following Corneal Transplantation
ClinicalTrials.gov study NCT01718184. IPD Sharing: Not stated. Countries: 1. Publications: 17.
Does a Safety Difference Exist Between IV Push and IV Piggyback Antibiotics?
ClinicalTrials.gov study NCT03360617. IPD Sharing: NO. Countries: 1. Publications: 8.
Data from: Prospective randomized trial comparing hepatic venous outflow and renal function after conventional versus piggyback liver transplantation
Background: This randomized prospective clinical trial compared the hepatic venous outflow drainage and renal function after conventional with venovenous bypass (n = 15) or piggyback (n = 17) liver transplantation. Methods: Free hepatic vein pressure (FHVP) and central venous pressure (CVP) measurements were performed after graft reperfusion. Postoperative serum creatinine (Cr) was measured daily on the first week and on the 14th, 21st and 28th postoperative days (PO). The prevalence of acute renal failure (ARF) up to the 28th PO was analyzed by RIFLE-AKIN criteria. A Generalized Estimating Equation (GEE) approach was used for comparison of longitudinal measurements of renal function. Results: FHVP-CVP gradient > 3 mm Hg was observed in 26.7% (4/15) of the patients in the conventional group and in 17.6% (3/17) in the piggyback group (p = 0.68). Median FHVP-CVP gradient was 2 mm Hg (0–8 mmHg) vs. 3 mm Hg (0–7 mm Hg) in conventional and piggyback groups, respectively (p = 0.73). There is no statistically significant difference between the conventional (1/15) and the piggyback (2/17) groups regarding massive ascites development (p = 1.00). GEE estimated marginal mean for Cr was significantly higher in conventional than in piggyback group (2.14 ± 0.26 vs. 1.47 ± 0.15 mg/dL; p = 0.02). The conventional method presented a higher prevalence of severe ARF during the first 28 PO days (OR = 3.207; 95% CI, 1.010 to 10.179; p = 0.048). Conclusion: Patients submitted to liver transplantation using conventional or piggyback methods present similar results regarding venous outflow drainage of the graft. Conventional with venovenous bypass technique significantly increases the harm of postoperative renal dysfunction.
Prospective Trial Comparing Conventional Versus Piggyback Method in Venous Drainage of the Transplanted Liver
ClinicalTrials.gov study NCT01707810. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Data from: Prospective randomized trial comparing hepatic venous outflow and renal function after conventional versus piggyback liver transplantation
Open the record for dataset details and reuse information.
Creation of Arteriovenous Fistulas for Hemodialysis Using the End-to-side Anastomotic Technique vs. Piggyback.
ClinicalTrials.gov study NCT06997042. IPD Sharing: YES. Countries: 1. Publications: 0.
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