AIM:: To present first experience of the use N-butyl cyanoacrylate with metacryloxisulfolane (Glubran 2) synthetic surgical glue, in the nonsurgical closure of oroantral communication (OAC). MATERIAL AND METHODS:: Two OACs, created after the exodontia of tooth 27 in 2 female patients, were sealed and closed with Glubran 2 surgical glue and monitored OACs, until the epithelization of the sockets was ended successfully. Two months postclosure of OACs, the sealed OACs were evaluated on the panoramic image and Water’s view radiography. RESULTS:: The extraction wounds with OACs were monitored until 23rd and 25th postinterventional days, when epithelization of socket ended successfully. On the panoramic image and Water’s view radiography, there were no radiological signs of maxillary sinus pathoses. CONCLUSION:: Glubran 2 can be successfully applied in the closure of OAC from 3 to 5 mm in diameter.
To address the growing need for a centralized, community resource of published results processed with Skyline, and to provide reviewers and readers immediate visual access to the data behind published conclusions, we present Panorama Public (https://panoramaweb.org/public.url), a repository of Skyline documents supporting published results. Panorama Public is built on Panorama, an open source data management system for mass spectrometry data processed with the Skyline targeted mass spectrometry environment. The Panorama web application facilitates viewing, sharing, and disseminating results contained in Skyline documents via a web-browser. Skyline users can easily upload their documents to a Panorama server and allow other researchers to explore uploaded results in the Panorama web-interface through a variety of familiar summary graphs as well as annotated views of the chromatographic peaks processed with Skyline. This makes Panorama ideal for sharing targeted, quantitative results contained in Skyline documents with collaborators, reviewers, and the larger proteomics community. The Panorama Public repository employs the full data visualization capabilities of Panorama which facilitates sharing results with reviewers during manuscript review.
People are increasingly leaving digital traces of their daily activities through interacting with their digital environment. Among these traces, financial transactions are of paramount interest since they provide a panoramic view of human life through the lens of purchases, from food and clothes to sport and travel. Although many analyses have been done to study the individual preferences based on credit card transaction, characterizing human behavior at larger scales remains largely unexplored. This is mainly due to the lack of models that can relate individual transactions to macro-socioeconomic indicators. Building these models, not only can we obtain a nearly real-time information about socioeconomic characteristics of regions, usually available yearly or quarterly through official statistics, but also it can reveal hidden social and economic structures that cannot be captured by official indicators. In this paper, we aim to elucidate how macro-socioeconomic patterns could be understood based on individual financial decisions. To this end, we reveal the underlying interconnection of the network of spending leveraging anonymized individual credit/debit card transactions data, craft micro-socioeconomic indices that consists of various social and economic aspects of human life, and propose a machine learning framework to predict macro-socioeconomic indicators.
The structure and composition of cometary constituents, down to their microscopic scale, are critical witnesses of the processes and ingredients that drove the formation and evolution of planetary bodies toward their present diversity. On board Rosetta’s lander Philae, the Comet Infrared and Visible Analyser (CIVA) experiment took a series of images to characterize the surface materials surrounding the lander on comet 67P/Churyumov-Gerasimenko. Images were collected twice: just after touchdown, and after Philae finally came to rest, where it acquired a full panorama. These images reveal a fractured surface with complex structure and a variety of grain scales and albedos, possibly constituting pristine cometary material.
Meeting report on the Cold Spring Harbor Asia conference on RNA Modifications and Epitranscriptomics, held in Suzhou, China, 13-17 November, 2017.
Francis' office window (at the Salk) commanded a panorama of the Pacific. “This grand natural scene was a physical correlate of Francis’s intellectual world: wide-ranging, brilliantly lit, a little overawing, but also immensely inviting and above all an exciting place to be.” (Mitchison, 2004).
- IEEE transactions on visualization and computer graphics
- Published 7 months ago
Understanding how people explore immersive virtual environments is crucial for many applications, such as designing virtual reality (VR) content, developing new compression algorithms, or learning computational models of saliency or visual attention. Whereas a body of recent work has focused on modeling saliency in desktop viewing conditions, VR is very different from these conditions in that viewing behavior is governed by stereoscopic vision and by the complex interaction of head orientation, gaze, and other kinematic constraints. To further our understanding of viewing behavior and saliency in VR, we capture and analyze gaze and head orientation data of 169 users exploring stereoscopic, static omni-directional panoramas, for a total of 1980 head and gaze trajectories for three different viewing conditions. We provide a thorough analysis of our data, which leads to several important insights, such as the existence of a particular fixation bias, which we then use to adapt existing saliency predictors to immersive VR conditions. In addition, we explore other applications of our data and analysis, including automatic alignment of VR video cuts, panorama thumbnails, panorama video synopsis, and saliency-basedcompression.
Due to concerns about the unsustainability and predictable shortage of fossil feedstocks, research efforts are currently being made to develop new processes for production of commodities using alternative feedstocks. 3-Hydroxypropionic acid (CAS 503-66-2) was recognised by the US Department of Energy as one of the most promising value-added chemicals that can be obtained from biomass. This article aims at reviewing the various strategies implemented thus far for 3-hydroxypropionic acid bioproduction. Special attention is given here to process engineering issues. The variety of possible metabolic pathways is also described in order to highlight how process design can be guided by their understanding. The most recent advances are described here in order to draw up a panorama of microbial 3-hydroxypropionic acid production: best performances to date, remaining hurdles and foreseeable developments. Important milestones have been achieved, and process metrics are getting closer to commercial relevance. New strategies are continuously being developed that involve new microbial strains, new technologies, or new carbon sources in order to overcome the various hurdles inherent to the different microbial routes.
Recently, the growing emphasis on medical ultrasound (US) has led to a rapid development of US extended field-of-view (EFOV) techniques. US EFOV techniques can be classified into three categories: 2-D US EFOV, 3-D US, and 3-D US EFOV. In this paper, we propose a novel EFOV method called 2.5-D US EFOV that combines both the advantages of the 2-D US EFOV and the 3-D US by generating a panorama on a curved image plane guided by a curved scanning trajectory of the US probe. In 2.5-D US EFOV, the real-time position and orientation of the US image plane can be recorded via an electromagnetic spatial sensor attached to the probe. The scanning direction is not necessarily straight and can be curved according to the regions of interest (ROI). To form the curved panorama, an image cutting method is proposed. Finally, the curved panorama is rendered in a 3-D space using a surface rendering based on a texture mapping technique. This allows 3-D measurements of lines and angles. Phantom experiments demonstrated that 2.5-D US EFOV images could show anatomical structures of ROI accurately and rapidly. The overall average errors for the distance and angle measurements are -0.097 ± 0.128 cm (-1% ± 1.2%) and 1.50° ± 1.60° (1.9% ± 2%), respectively. A typical extended US image can be reconstructed from 321 B-scans images within 3 s. The satisfying quantitative result on the spinal tissues of a scoliosis subject demonstrates that our system has potential applications in the assessment of musculoskeletal issues.
The retromolar canal (RMC) and foramen (RMF) are anatomic variants in the retromolar area of the mandible. The purpose of this study was to clarify the relationship between the RMC and RMF and related complications, and to reveal how the RMC could impact the mandibular anatomy using cone-beam computed tomography (CBCT) and panoramic images (PAN).