The database interface can be viewed in multiple languages select language on database home page. Annual analyses of the database are available for download. Statistics can be provided on where and how often authors are publishing. Searches are based on the most recent AGI database export.

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Electric Vehicles and the Future of Telematics - Day 1 Keynotes (GEOTAB CONNECT 2018)

Get Technical Support If you have problems accessing this database or have questions about the functionality of the database, please contact the Website Manager at lmg americangeosciences. Submit New Citations Submit new citations to Citations iodp.This paper first presents a short overview of application areas for database technology in telecommunications.

The main result of this brief survey is that telecommunications has recently broadened to a degree that almost all fashionable fields of database research are becoming relevant; nevertheless, relatively little research focus has been set on this application domain.

In the second part of the paper, we look specifically at the performance challenges posed to distributed and wireless database technologies by novel applications such as Intelligent Networks, mobile telephony and very large numbers of database caches embedded in telephones. A brief overview of two of our own research efforts is presented, one concerning the design of replication mechanisms, the other concerning analytic performance models in distributed and wireless information systems.

Unable to display preview. Download preview PDF. Skip to main content. This service is more advanced with JavaScript available. Advertisement Hide. International Workshop on Databases in Telecommunications. Telecommunications Databases — Applications and Performance Analysis. Conference paper. This process is experimental and the keywords may be updated as the learning algorithm improves. This is a preview of subscription content, log in to check access. Baulier, J. Bondi, A.

Fessy, J. In: EDBTpp. DeWitt, D. Gray, J. Nicola, M. In: Proc. In: ICDEpp. Heytens, M. Hvasshovd, S. Jagadish, H. Lo, C. Tikkanen, M. Trisolini, S. Matthias Jarke 1 Matthias Nicola 1 1. Personalised recommendations. Cite paper How to cite? ENW EndNote. Buy options.Our solutions do more than just securely acquire, analyze, manage and share your data. They enable you to accelerate your scientific discoveries and streamline lab operations.

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TIMSS Item Information. IRT Item Parameters. Item Percent Correct Statistics. SPSS Data. SAS Data.Bioinformaticsa hybrid science that links biological data with techniques for information storage, distribution, and analysis to support multiple areas of scientific research, including biomedicine.

Bioinformatics is fed by high-throughput data-generating experiments, including genomic sequence determinations and measurements of gene expression patterns. Database projects curate and annotate the data and then distribute it via the World Wide Web. Mining these data leads to scientific discoveries and to the identification of new clinical applications. In the field of medicine in particular, a number of important applications for bioinformatics have been discovered. For example, it is used to identify correlations between gene sequences and diseases, to predict protein structures from amino acid sequences, to aid in the design of novel drugsand to tailor treatments to individual patients based on their DNA sequences pharmacogenomics.

The classic data of bioinformatics include DNA sequences of genes or full genomes; amino acid sequences of proteins; and three-dimensional structures of proteins, nucleic acids and protein—nucleic acid complexes.

In each case there is interest in obtaining comprehensiveaccurate data for particular cell types and in identifying patterns of variation within the data. For example, data may fluctuate depending on cell type, timing of data collection during the cell cycleor diurnal, seasonal, or annual variationsdevelopmental stage, and various external conditions.

Metagenomics and metaproteomics extend these measurements to a comprehensive description of the organisms in an environmental sample, such as in a bucket of ocean water or in a soil sample.

Insurtech—the threat that inspires

Bioinformatics has been driven by the great acceleration in data-generation processes in biology. Genome sequencing methods show perhaps the most dramatic effects. In the nucleic acid sequence archives contained a total of 3. The U. In bioinformatics, data banks are used to store and organize data. Many databases are in the hands of international consortia. To ensure that sequence data are freely available, scientific journals require that new nucleotide sequences be deposited in a publicly accessible database as a condition for publication of an article.

Similar conditions apply to nucleic acid and protein structures. There also exist genome browsers, databases that bring together all the available genomic and molecular information about a particular species.

The homepages of the wwPDB partners contain links to the data files themselves, to expository and tutorial material including news itemsto facilities for deposition of new entries, and to specialized search software for retrieving structures.We use cookies essential for this site to function well.

Please click "Accept" to help us improve its usefulness with additional cookies. Learn about our use of cookies, and collaboration with select social media and trusted analytics partners here Learn more about cookies, Opens in new tab. New, technology savvy players are entering the insurance sector, bringing the full force of their innovative, disruptive, opportunity-laden power.

Fintechs, many of which began as startups, have attempted to disrupt the banking sector for over a decade now. They function with much lower cost burden than traditional banks, free as they are of the burden of banking operations, branch networks, and legacy IT systems. By developing innovative products and delivering them digitally in a fraction of the time, they made inroads into business lines traditionally dominated by incumbents. The fintech story has been changing, however.

Forward-looking banks have responded to the challenge, digitizing their operations and offering an array of innovative products and services through digital channels. As revealed in a recent McKinsey study, furthermore, the focus of fintech activity has partly shifted away from directly targeting end customers and competing with incumbents. Traditional banks and fintechs are increasingly becoming partners in ventures in which the incumbents retain ownership of the end customer, while the fintech help to improve the user experience and customer centric approach.

Fintechs 1 1. In insurance, a similar pattern is developing. In some locations, regulatory barriers have been lowered. In Australia, Singapore, and the UK, for example, insurtechs have been encouraged to test their innovative business plans on specific client segments without the need to conform to the full regulatory frameworks that apply to incumbents. Like fintechs, insurtechs are extending innovation throughout the sector, creating a competitive threat to incumbents but also potentially valuable opportunities for partnering on the changing terrain.

Customer expectations of instant digital transactions sustained seamlessly across digital channels are increasingly the norm. While insurtechs have not yet made deep inroads into the sector, they are growing fast and stand to capture a meaningful share of value pools within a few years. How quickly incumbents adapt to these inexorable market changes will determine the size of their share in the next generation of the insurance industry. Over the past few years, insurtechs have emerged in the insurance space.

The contours of the insurtech landscape presented here are based on CB Insights, a provider of info on VC deals, and the proprietary McKinsey Panorama Insurtech database. Constantly updated by a dedicated team of experts, Panorama Insurtech describes the key elements of insurtech offerings, underlying business models, and targeted customer segments. The database is detail-rich and can be used to zero in on particular success stories, technological trends, parts of the value chain, or insurance products.

Over this same period, the most successful insurtech ventures moved beyond the seed and venture-capital rounds of financing to advanced funding rounds. Asia-Pacific region accounts for only 14 percent of the insurtechs but is expected to be the fastest growing region in the coming years.

Not unlike fintechs in banking, the initial focus of the insurtechs has been on the retail segment: 75 percent of insurtech business is in serving retail clientele, with the remainder in the commercial segment. Online and mobile channels and digital technologies offer many quick wins in retail, as millennials and more youthful age segments take over from the baby boomers.

Young, digitally savvy segments are less company-loyal and tend to treat financial products and services, including insurance policies, as interchangeable as long as they fulfill personal needs. They value convenience and like to execute transactions remotely—if possible, without direct interaction with the institution.

The database can be a distinctive tool to map and navigate the insurtech universe to find investment or partnership opportunities. It is also useful to shape the vision of the insurance industry, mapping potential future directions of the insurance business to prioritize relevant innovations. Although much of the focus of insurtechs is on personal lines, they are also starting to move into the commercial segment. As in personal lines, insurtechs in commercial lines are bringing innovation to products, for instance, peer-to-peer and digital brokerage, often targeting the small- and medium-sized business segment.

However, commercial lines insurtechs are also focusing on loss prevention and efficiency e. In terms of lines of business, 46 percent of insurtechs in McKinsey Panorama Insurtech database are focused on property and casualty, 33 percent on health, and the remaining on life. Insurtechs target primarily pure risk insurance, where they have developed access points to the value chain based on innovation.The charter of the Database Group at Microsoft Research Redmond is to increase the usefulness of database system technology to users by creating, extending, and applying database technology.

To that end, we consult with product groups at Microsoft and take part in exploratory research projects in several data management systems topics.

Tuberculosis drug resistance mutation database

See our current projects list for an overview of our active research areas. The Database group has a long tradition of building systems as part of our research. Several of our projects have contributed major technical innovations to Microsoft products. NEW: We are now actively looking for summer internship candidates.

Telecommunications Databases – Applications and Performance Analysis

Please click here to see the job postings and apply! We actively participate in the database research community. Current activities include the following Conferences activities, and Editorships and Board Memberships:.

Share this page:. Selected Professional Activities We actively participate in the database research community. People Arvind Arasu Researcher. Badrish Chandramouli Senior Principal Researcher. Jonathan Goldstein Senior Principal Researcher. Raghav Kaushik Senior Researcher. Yinan Li Principal Researcher. Umar Farooq Minhas Principal Researcher. Ravi Ramamurthy Researcher.