The present dataset includes data and figures relative to the submitted paper " Detection of formation boundary using transient multicomponent electromagnetic logging while drilling method " currently under review in Journal of Petroleum Science and Engineering.
Contributors:Adrian daSilva-deAbreu, Bader Aldeen Alhafez, Yuhamy Curbelo-Peña, Carl J. Lavie, Hector O. Ventura, juan Loro Ferrer, Stacy A. Mandras
This is the raw data captured for a systematic review and individual participant data (IPD) meta-analysis evaluating the trends in body mass indices of obese patients with end-stage heart failure (ESHF) with ventricular assist devices (VADs) after undergoing bariatric surgery (BS).
A systematic search was performed in ClinicalTrials.gov, Cochrane, Embase and PubMed on November 23rd, 2019. Additional searches were conducted in Google Scholar, websites of the most important journals for ESHF and BS, which also contained the proceedings of the most relevant scientific meetings in such specialties:
-The Journal of Heart and Lung Transplantation
-Journal of Cardiac Failure, Obesity Surgery
-Surgery for Obesity and Related Diseases
-Journals of following groups (journal families):
--Journal of the American College of Cardiology
--European Heart Journal
These searches were performed at different before April 20th, 2020. Multiple official indexing terms and additional relevant terms for VADs and BS were used.
Studies were selected if they reported IPD for the postoperative BMI of VAD patients after undergoing BS. Only patients with VAD support at the time of BS were included in the study.
References selection, and data extraction were performed independently and in parallel by two investigators. In cases of disagreements, consensus was attempted through discussion, but if that was not achieved, a third investigator helped to solve the tie by simple majority.
This database contains the most relevant variables from an ESHF and BS stand point.
More details about data description and analyses can be found in the meta-analysis and data publication related to this project.
97 red sweet peppers (cultivar: Banji; seed company: Efal) and 102 yellow sweet peppers (cultivar: Liri; Seed company: Hazera) from maturity classes 1–4 were harvested from a commercial greenhouse in Kmehin, Israel in January 2019. Each pepper was manually placed inside a photocell, to ensure uniform illumination; each of the four photocell sides included three light-emitting diodes (LED) spots of 35 watts each , resulting in total illumination of 49 lux. Images were acquired using an IDS Ui-5250RE RGB color camera with a resolution of 1600 x 1200 pixels, placed 38 cm above the black cell floor. Images of each pepper were acquired from four viewpoints: three from the sides of the peppers, taken in no particular order, and the bottom viewpoint of the pepper.
69 red and 70 yellow peppers from maturity classes 2, 3, and 4 were harvested from the same commercial greenhouse in Kmehin, Israel, in November 2019. No peppers were collected from class 1 since we assumed that immature peppers that are entirely green would not be detected by a harvesting robot.
Each pepper was individually attached to a pepper plant at a random orientation in a lab environment without controlled illumination. The peppers were attached to the plant hanging down straight in a way that does not create occlusion by leaves or stems and prevents overlap between peppers. Images for each pepper were acquired from three side viewpoints from the same height. No pictures of the bottom viewpoint were taken since it is not always feasible for harvesting robots due to plant parts that prevent the robot from reaching the pepper from the bottom. The images were acquired using an Intel RealSense D435 RGB-D (color + depth) camera mounted on a Sawyer robotic 7-degree-of-freedom torque-controlled arm from Rethink Robotics. Automatic exposure and white-balance were enabled. The use of the robotic arm enables images from the three viewpoints to be made from the same pose for all peppers.
The dataset, which is published as part of this paper, resulted in 417 RGB-D images of the different sides of the peppers and the whole pepper ground truth information of their maturity class.
As part of the ‘robotic’ dataset collection, 14 red peppers and 14 yellow peppers from maturity classes 2 and 3 (seven from each of class) were taken from the peppers harvested for the robotic dataset. Each pepper was placed hanging straight down in a random orientation on a pepper plant in the lab. Images from three viewpoints were acquired for each pepper three times, and each time the pepper was twisted 120˚ clockwise around the z-axis, resulting in a different surface of the pepper facing the camera from the initial viewpoint. This collection produced a dataset of 252 RGB images.
Supplemental figure 1. Female pattern hair loss. Dermoscopic examination of the mid-scalp in a man with Sinclair grade 4 female pattern hair loss showing hair shaft diameter variability >20%, vellus hairs and single follicular units.
Supplemental figure 2. Female pattern hair loss. 3-mm punch biopsy specimen tak-en from affected scalp showing diffuse miniaturization of hair follicles with adjacent full-sized sebaceous glands [hematoxylin and eosin, original magnification (a) x 100; (b) x 200].
This dataset consists of 2702 audio files (Mono, 16 kHz, 32-bit float in *.wav format) classified as Vietnamese questions. The dataset is useful for various Vietnamese question / intention detection research and development activities.
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