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Study Objective: To compare the rate of post-operative urinary retention (POUR) after total laparoscopic hysterectomy (TLH) using the autofill versus the backfill void trial. Secondary objectives were to compare the time to discharge from the recovery room, rate of post-operative urinary tract infection (UTI), perceived bladder condition, bladder function impact on life, and patient satisfaction. Design: Randomized controlled trial (Canadian Task Force classification I). Setting: Single academic medical center. Patients: Women who underwent TLH by conventional laparoscopy or robotic-assisted laparoscopy for benign non-urogynecologic indications. Interventions: After TLH, participants were randomized to have an autofill void trial (group A) or a backfill void trial (group B). Failure rate, time to discharge, and UTI rate were assessed. Participants completed the patient perception of bladder condition (PPBC) and the incontinence impact questionnaire-short form (IIQ-7) questionnaires. Patient satisfaction was assessed. Multiple regression analysis was performed to determine predictors of POUR. Measurements and Main Results: 82 participants completed the study after randomization: 42 in group A and 40 in group B. There were no statistically significant differences in demographic or perioperative outcomes. Seven participants had POUR in group A (16.7%) and 11 in group B (27.5%) (p = .36). The median time to discharge was 176 minutes for group A [160.5, 255.5] and 218 minutes for group B [180, 265] (p = 0.01). There were no statistically significant differences in rate of post-operative UTI (p = 1.00), PPBC scores (p = 0.24), IIQ-7 scores (p = 0.23), and patient satisfaction scores (p = 0.26). A stepwise logistic regression analysis demonstrated that pre-operative consumption of progesterone and non-same-day discharge may be weak predictors of POUR (p = .059 and p = .058, respectively). Conclusion: Autofill and backfill void trials result in a comparable rate of POUR with the autofill void trial resulting in faster same-day discharge.
Data Types:
  • Tabular Data
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The technopreneur reseach & publication dataset, which was indexed by Scopus from 2000 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
Data Types:
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The economics spectrum (ES) and functional equilibrium hypothesis were tested through the multivariate analysis evaluating the fertilization treatments, species and biological nitrogen fixation effects. The excel archive presents the raw collected data, the standardized by the relativization maximum method data, and the nonmetric multidimensional scaling loadings and product-moment correlations (r). We encourage to use the raw dataset for further meta analysis studies. The Relative growth rates in diameter (RGR d) and height (RGR h); the absolute growth rates in biomass (AGR bio); leaf mass fraction (LMF); stem mass fraction (SMF); root mass fraction (RMF); shoot-to-root ratio (S:R); biomass production of the leaf (Leaves), stem (Stems) and root (Roots) components; phosphorous (P) and nitrogen (N) concentrations and nitrogen-to-phosphorous ratio (N:P) of leaves (leaf), stems (stem) and roots (root), was presented for the low nutrient (1) and high nutrient (2) fertilization treatments and for the 6 species studied sp1. Cenostigma tocantinum; sp2. Senna reticulata; sp3. Dipteryx odorata; sp4. Clitoria fairchildiana; sp5. Ina edulis; sp6. Acacia sp. The main findings of our study confirm the ES and functional equilibrium hypothesis as most species increased RGRs in diameter and height under high-nutrient regime, whereas plants under low-nutrient treatment increased allocation to the root mass fraction. Under the low-nutrient treatment Acacia sp. somehow diverged from the ES and functional equilibrium assumptions having significant growth. Growth rates and RMF were sensitive to the fertilization and species effects whereas nutrient concentrations were mostly insensitive to environmental cues.
Data Types:
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The present study had the objective of analyze the GxE effects in clonal tests of loblolly pine implanted in the South and Southeast regions of Brazil. For this, 75 clones and three commercial controls were tested using randomized block design, with eight replicates and one plant per plot repeated in four sites. Measurements were performed at 11 years of age and the evaluated traits were: diameter at breast height (dbh), total height and volume. The GGE biplot and the Harmonic Mean of the Relative Performance of Genotypic Values (MHPRVG) methods were used to study GxE effects.
Data Types:
  • Tabular Data
  • Dataset
The dataset consists of 3D scans of the upper and lower dentitions of 24 patients, all in their growth age, taken at different time intervals. All patients had normal occlusions with no history of orthodontic treatment. There are 3 scans avaialble for 8 out of 24 patients, and 2 scans available for the remaining 16 patients. The interval between each two consecutive scans is at least 2 years and at most 10 years. The dataset was created by 3D scanning of plaster models using a benchtop structured-light 3D scanner (Maestro 3D Desktop Scanner, Pontedera, Italy) with a point accuracy of <10 μm and resolution of <70 μm in all directions.
Data Types:
  • Software/Code
  • Dataset
Ergospyrometric evaluations are useful in physio-mechanics of locomotion. This dataset includes the raw ergospyrometric data of 6 young subjects during locomotion on a treadmill at different speeds and gaits. Characteristics of the experimental group: - gender: 5 males and 1 female - age: 26.5 (2.3 SD) - height: 171.5 cm (5.5 SD) - weight: 72.2 kg (7.5 SD) Equipments: - Cosmed K5 wearable metabolic analyzer - Software Cosmed Omnia v.1.6.5 Experimental design: Subjects were first asked to stand in orthostasis for 5' in order to assess their oxygen consumption in resting conditions. Then they were asked to walk, run and gallop (skipping) on the treadmill. Trial lasted 5' each, in order to reach a stable oxygen consumption during the last 2' of each one. Walk: the walking trials were performed one after the other at 2.0, 3.0, 4.0, 5.0, 6.0 km/h, as the effort was light and there were no signs of fatigue. A stable O2 consumption was reached shortly after the beginning of each step. Run: five trials (7.0, 8.5, 10.0, 11.5, 13.0 km/h) were performed in aleatory order. After each trial the subject rested 4 to 6', until his/her parameters returned to the rest conditions. Skipping: four trials (4.0, 5.5, 7.0, 8.5 km/h)* were performed in aleatory order. After each trial the subject rested 4 to 6', until his/her parameters returned to the rest conditions. (* One subject skip at 3.0, 5.0, 7.0, 9.0 km/h). Note: not all the subject performed the entire protocol. In particular some data are lacking in walking and skipping. Cost of Transport Analysis: - The resting O2 (RO2) consumption was computed as the averaged VO2 (ml/min/kg) of the 5' in orthostasis. - The trial O2 (TO2) consumption was computed as the averaged VO2 (ml/min/kg) of the last 2' of each speed trial - The exercise O2 (EO2) consumption was computed as TO2 - RO2 - The trial respiratory quotient (RQ) was computed as the averaged RQ (VCO2/VO2) of the last 2' of each speed trial - The RQ based Energetic Equivalent (EE) to transform mlO2 in Joules was derived from Di Prampero (2015). - The metabolic power (W/kg) was computed as (EO2 * EE) / 60 (remember that W = J/s) - The Cost of transport (J/kg/m) was computed by dividing the metabolic power for the speed (m/s) (Saibene and Minetti, 2003) All the participants signed an informed consent. The protocol was approved by the Ethical Committee of the University (#003065-000653-16). References: Di Prampero, P. E. (2015). La locomozione umana su terra, in acqua, in aria. Edi-Ermes, Milano. Saibene, F., & Minetti, A. E. (2003). Biomechanical and physiological aspects of legged locomotion in humans. European journal of applied physiology, 88(4-5), 297-316.
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  • Tabular Data
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  • Document
Nutrient transporters can be rapidly removed from cell surface via substrate-stimulated endocytosis as a way to control nutrient influx, but the molecular underpinnings have not been well understood. In this work, we focused on zinc-dependent endocytosis of human ZIP4 (hZIP4), a zinc transporter essential for dietary zinc uptake. Structure-guided mutagenesis and internalization assay revealed that hZIP4 per se acts as the exclusive zinc sensor with the transport site being responsible for zinc sensing. In an effort of seeking sorting signal, a scan of the longest cytosolic loop (L2) led to identification of a conserved LQL motif essential for endocytosis. Partial proteolysis of purified hZIP4 demonstrated a structural coupling between the transport site and the L2 upon zinc binding, which supports a working model of how zinc ions at physiological concentration trigger a conformation-dependent endocytosis of the zinc transporter. This work provides a new paradigm on post-translational regulation of nutrient transporters.
Data Types:
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  • File Set
Raw data for 2-choice food preference assays, FLIC assays, immunofluorescence staining, pharyngeal calcium imaging, and optogenetics.
Data Types:
  • Dataset
  • File Set
The database contains the raw data needed to run the model. The consumption of coal, coke, crude oil, fuel oil, gasoline, kerosene, diesel, and natural gas are used to estimate CO2 emissions. Based on this, the carbon emission intensity of the seven provinces can be calculated from the ratio of the CO2 emissions to gross domestic product (GDP). Finally, the five covariates, which includes urbanization, economic growth, energy intensity, industry structure, and population density, are calculated through the indexes of GDP, gross output value of the secondary industry, energy consumption, total population, urban population, and Population density.
Data Types:
  • Tabular Data
  • Dataset
Large surveys of peptides naturally presented on major histocompatibility class I (MHC I) proteins have enabled improved MHC I ligand prediction by dramatically expanding the available data for many MHC I alleles. However, it is unclear to what extent antigen processing signals can also be learned from these datasets. Here, we developed a predictor of antigen processing by training neural networks to discriminate mass spec-identified MHC I ligands from unobserved peptides, where both classes of peptides are predicted to be strong MHC I binders. The resulting predictor shows qualitative consistency with established preferences for the transporter associated with antigen processing, proteasomal cleavage, and endoplasmic reticulum aminopeptidases. When we combined the antigen processing predictor with a novel pan-allele MHC I binding predictor in a logistic regression model, the combination model significantly outperformed the two components alone as well as the NetMHCpan 4.0 and MixMHCpred 2.0.2 tools at predicting mass spec-identified MHC I ligands. Our predictors are implemented in the open source MHCflurry package, version 1.6.0 (github.com/openvax/mhcflurry).
Data Types:
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  • File Set
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