18 papers · ranked by Valyu relevance
Hongshen Gou, Feng Tian, Long Wang, Nan Deng + 1 more
The rapid advancement of artificial intelligence has elevated data to a cornerstone of modern software systems. As data projects become increasingly complex and dynamic, version control for data has become essential rather than merely convenient. Existing version control systems designed for source code are inadequate…
Aditya Dani, Shardul Mangade, Piyush Nimbalkar, Harshad Shirwadkar
- The growing value of data as a strategic asset has given rise to the necessity of implementing reliable backup and recovery solutions in the most efficient and cost-effective manner. The data backup methods available today on Linux are not effective enough, because while running, most of them block I/Os to guarantee…
Samuel H. Friedman, Alexander R. A. Anderson, David M. Bortz, Alexander G. Fletcher + 20 more
Cell biology is increasingly focused on cellular heterogeneity and multicellular systems. To make the fullest use of experimental, clinical, and computational efforts, we need standardized data formats, community-curated “public data libraries”, and tools to combine and analyze shared data. To address these needs, our…
Samuel H. Friedman, Alexander R. A. Anderson, David M. Bortz, Alexander G. Fletcher + 20 more
Exchanging and understanding scientific data and their context represents a significant barrier to advancing research, especially with respect to information siloing. Maintaining information provenance and providing data curation and quality control help overcome common concerns and barriers to the effective sharing of…
Liang Li, Guoren Wang, Gang Wu, Ye Yuan + 2 more
—In-memory databases (IMDBs) are gaining increasing popularity in big data applications, where clients commit updates intensively. Specifically, it is necessary for IMDBs to have efficient snapshot performance to support certain special applications (e.g., consistent checkpoint, HTAP). Formally, the in-memory…
Nanda Nanduri, Jesutomiwo Ogundare, George Anderson
Camera trap networks such as Snapshot Safari have generated millions of labelled wildlife images across Africa, enabling the training of deep learning models for automated species classification. However, deploying models trained in one African region to another remains poorly understood. To the best of our knowledge…
Xiao Liu, Miguel Ángel Ribot, Adrià Gusi-Amigó, Adria Rovira-Garcia + 4 more
'Jaume Sanz' 'Pau Closas' 'Robert Odolinski' 'Amir Khodabandeh'] With great potential for being applied to Internet of Things (IoT) applications, the concept of cloud-based Snapshot Real Time Kinematics (SRTK) was proposed and its feasibility under zero-baseline configuration was confirmed recently by the authors. This…
Anton Dignös, Boris Glavic, Xing Niu, Michael H. Böhlen + 1 more
'Johann Gamper'] Snapshot semantics is widely used for evaluating queries over temporal data: temporal relations are seen as sequences of snapshot relations, and queries are evaluated at each snapshot. In this work, we demonstrate that current approaches for snapshot semantics over interval-timestamped multiset…
Guanjue Xiang, Belinda Giardine, Lin An, Chen Sun + 7 more
'Elisabeth F. Heuston' 'Stacie M. Anderson' 'Martha Kirby' 'David Bodine' 'Yu Zhang' 'Ross C. Hardison'] Background Epigenetic modification of chromatin plays a pivotal role in regulating gene expression during cell differentiation. The scale and complexity of epigenetic data pose significant challenges for biologists…
Ankur Sharma, Felix Schuhknecht, Jens Dittrich
Efficient transactional management is a delicate task. As systems face transactions of inherently different types, ranging from point updates to long running analytical computations, it is hard to satisfy their individual requirements with a single processing component. Unfortunately, most systems nowadays rely on such…
Pete Bridge, Mary-Ann Carmichael, Carole Brady, Allison Dry
Introduction Undergraduate students studying the Bachelor of Radiation Therapy at Queensland University of Technology (QUT) attend clinical placements in a number of department sites across Queensland. To ensure that the curriculum prepares students for the most common treatments and current techniques in use in these…
Camille Moyer, Zeliha Kilic, Max Schweiger, Douglas Shepherd + 1 more
Gene networks, key toward understanding a cell’s regulatory response, underlie experimental observations of single cell transcriptional dynamics. While information on the gene network is encoded in RNA expression data, existing computational frameworks cannot currently infer gene networks from such data. Rather, gene…
P Mindek, M E Gröller, S Bruckner
Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analysed and compared in different views. However, the semantics of such selections often depend on specific parameter settings and it can be difficult to reconstruct them without additional information. In this…
Peichao Li, Michael Ebner, Philip Noonan, Conor Horgan + 4 more
'Sébastien Ourselin' 'Jonathan Shapey' 'Tom Vercauteren'] Title: ABSTRACT Hyperspectral imaging is one of the most promising techniques for intraoperative tissue characterisation. Snapshot mosaic cameras, which can capture hyperspectral data in a single exposure, have the potential to make a real-time hyperspectral…
Thel Lucie, Chamaillé-Jammes Simon, Keurinck Léa, Catala Maxime + 3 more
Ecologists increasingly rely on camera trap data to estimate a wide range of biological parameters such as occupancy, population abundance or activity patterns. Because of the huge amount of data collected, the assistance of non-scientists is often sought after, but an assessment of the data quality is a prerequisite…
N. Alexia Raharinirina, Felix Peppert, Max von Kleist, Christof Schütte + 1 more
Single cell RNA-sequencing (scRNA-seq) has become ubiquitous in biology. Recently, there has been a push for using scRNA-seq snapshot data to infer the underlying gene regulatory networks (GRNs) steering cellular function. To date, this aspiration remains unrealised due to technical- and computational challenges. In…
Michael Statt, Brian Rohr, Dan Guevarra, Ja'Nya Breeden + 2 more
Materials knowledge is inherently hierarchical. While high-level descriptors such as composition and structure are valuable for contextualizing materials data, the data must ultimately be considered in the context of its low-level acquisition details. Graph databases offer an opportunity to represent hierarchical…
Gunther Eysenbach, Joseph Rudolf, Arriel Benis, Jacob McPadden + 10 more
'Thomas JS Durant' 'Dustin R Bunch' 'Andreas Coppi' 'Nathaniel Price' 'Kris Rodgerson' 'Charles J Torre Jr' 'William Byron' 'Allen L Hsiao' 'Harlan M Krumholz' 'Wade L Schulz'] Background Health care data are increasing in volume and complexity. Storing and analyzing these data to implement precision medicine…