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The European Future Internet Assembly also known as FIA, is a collaboration between projects that have recognised the need to strengthen European activities on the Future Internet to maintain European competitiveness in the global marketplace. Currently FIA brings together around 150 research projects that are part of Challenge 1 of the ICT programme of FP7.

"When the right microorganisms are at work, immune cells involved in the development of autoimmune illnesses like psoriasis, multiple sclerosis and arthritis, can develop anti-inflammatory properties. Scientists at Charité - Universitätsmedizin Berlin and the Institute for Research in Biomedicine, Bellinzona, Switzerland, have now made this discovery. Their work is published in the current issue of the scientific journal Nature*. The scientists were able to prove that particular fungi activate the immune cells involved in the development of certain illnesses, whereas other microorganisms, in particular bacteria that are found naturally on our skin, lend an anti-inflammatory function to them. "This not only demonstrates that the composition of our microflora has a decisive role in the development of chronic illnesses, but also that the key cells causing illness can develop an anti-inflammatory 'twin'," explained Dr. Christina Zielinski, first author of the study."

Current, partner and retired OKFN projects are listed below. These are projects that are actively being managed and fostered by the OKFN's staff and communities. To start a new project of your own, see our project proposal page.

Heather is currently conducting her doctoral research at Carnegie Mellon's Robotics Institute and running Marilyn Monrobot Labs in NYC, which creates socially intelligent robot performances and sensor-based electronic art. Founder of the Robot Film Festival and Cyborg Cabaret, Heather was on the 2011 Forbes List for 30 under 30 in Science.

KSL conducts research in the areas of knowledge representation and automated reasoning in the Artificial Intelligence Laboratory of the Department of Computer Science at Stanford University. Current work focuses on enabling technology for the Semantic Web, hybrid reasoning, explaining answers from heterogeneous applications, deductive question-answering, representing and reasoning with multiple contexts, knowledge aggregation, ontology engineering, and knowledge-based technology for intelligence analysts and other knowledge workers.

UCSC Genome Bioinformatics Genocoding Project Genomic Text Indexing: Scanning papers for genomic identifiers and mapping them to the human genome. We currently recognize DNA and protein sequences, SNPs, bands and gene symbols.

Come work with us Interested in working with researchers from different disciplines within the Harvard, MIT and Broad community and an unique opportunity to participate in world-class research to make an impact on human health? Come work with us! We are looking for a computational biologists to handle data from a wide variety of experimental methods, focusing on next-gen sequencing technologies. Keep Reading...  SCDE is live The Stem Cell Discovery Engine (SCDE) is an integrated platform that allows users to consistently describe, share and compare cancer and tissue stem cell data. It is made up of an online database of curated experiments coupled to a customized instance of the Galaxy analysis engine with tools for gene list manipulation and molecular profile comparisons. The SCDE currently contains more than 50 stem cell-related experiments. Each has been manually curated and encoded using the ISA-Tab standard to ensure the quality of the data and its annotation. Keep Reading...  The Center for Health Bioinformatics at the Harvard School of Public Health provides consults to researchers for the management, integration and contextual analysis of biological high-throughput data. We are a member of the Center for Stem Cell Bioinformatics, the Environmental Statistics and Bioinformatics Core at the Harvard NIEHS Center for Environmental Health and the Genetics & Bioinformatics Consulting group for Harvard Catalyst and work closely with our colleagues in the Department of Biostatistics and the Program in Quantitative Genomics to act as a single point of contact for computational biology,

UBY is a large-scale lexical-semantic resource for natural language processing (NLP) based on the ISO standard Lexical Markup Framework (LMF). UBY combines a wide range of information from expert-constructed and collaboratively constructed resources for English and German. Currently, UBY holds structurally and semantically interoperable versions of nine resources in two languages:  English WordNet, Wiktionary, Wikipedia, FrameNet and VerbNet,  German Wikipedia, Wiktionary and GermaNet, and multilingual OmegaWiki. 

We offer searchable online literature for the student, educator, or enthusiast. To find the work you're looking for start by looking through the author index. We currently have over 3000 full books and over 4000 short stories and poems by over 250 authors. Our quotations database has over 8500 quotes.

Welcome to the future! Here you will find a speculative timeline of future history. Part fact and part fiction, the timeline is based on detailed research that includes analysis of current trends, projected long-term environmental changes, advances in technology such as Moore's Law, future medical breakthroughs, and the evolving geopolitical landscape. Where possible, references have been provided to support the predictions. FutureTimeline.net is intended to be an ongoing, collaborative project that is open for discussion - we welcome ideas from scientists, futurists, inventors, writers and anyone else interested in the future of our world.

BrainBrowser is web-based, 3D visualization tool for neuroimaging. Using web-standard technologies, such as WebGL and HTML5, it allows for real time manipulation and analysis of 3D neuroimaging data whether it be precalculated maps, such as the MACACC data set (Mapping Anatomical Correlations Across Cerebral Cortex), or models provided by the user in MNI object format and data in one of the many currently supported formats (Minc, Nifti, object files, plain text).

"But Young's new theory will face scrutiny of its own. Commenting on the theory, Rutgers University anthropologist Fran Mascia-Lees, who has written extensively about the evolutionary role of breasts, said one concern is that not all men are attracted to them. "Always important whenever evolutionary biologists suggest a universal reason for a behavior and emotion: how about the cultural differences?" Mascia-Lees wrote in an email. In some African cultures, for example, women don't cover their breasts, and men don't seem to find them so, shall we say, titillating. Young says that just because breasts aren't covered in these cultures "doesn't mean that massaging them and stimulating them is not part of the foreplay in these cultures. As of yet, there are not very many studies that look at [breast stimulation during foreplay] in an anthropological context," he said. Young elaborates on his theory of breast love, and other neurological aspects of human sexuality, in a new book, "The Chemistry Between Us" (Current Hardcover, 2012), co-authored by Brian Alexander."

"The problem, as I see it, is that we are not doing very much to remedy these issues, and that a lot of people have already accepted that "true science" is simply an ideal that will inevitably disappear with the current system proceeding along as it is. As such, why risk our careers and reputations to fight for some noble cause that most of academia won't really appreciate anyway?"

NEIL (Never Ending Image Learner) is a computer program that runs 24 hours per day and 7 days per week to automatically extract visual knowledge from Internet data. It is an effort to build the world's largest visual knowledge base with minimum human labeling effort - one that would be useful to many computer vision and AI efforts. See current statistics about how much NEIL knows about our world!!

"Igor Efimov, Sarah Gutbrod Using an inexpensive 3-D printer, biomedical engineers have developed a custom-fitted, implantable device with embedded sensors that could transform treatment and prediction of cardiac disorders. The 3-D elastic membrane is made of a soft, flexible, silicon material that is precisely shaped to match the heart's outer layer of the wall. Current technology is two-dimensional and cannot cover the full surface of the epicardium or maintain reliable contact for continual use without sutures or adhesives. The team can then print tiny sensors onto the membrane that can precisely measure temperature, mechanical strain and pH, among other markers, or deliver a pulse of electricity in cases of arrhythmi"

"When analysing the seeds, the scientists came across a surprising discovery: "the seeds of the infested fruits are not always aborted, but rather it depends on how many seeds there are in the berries", explains Dr. Katrin M. Meyer, who analysed the data at the UFZ and currently works at the University of Goettingen"

"In short, this site is a record of my learning process as I try to understand aspects of colony health and productivity, and the reasons why various management techniques work (or don't). If you are a beginning beekeeper looking for basic information, or an experienced beekeeper looking for a summary of mite treatment options, I suggest that you go directly to Basic Beekeeping. I started keeping bees as a hobbyist in 1967, and then went on to get university degrees in biological sciences, specializing in entomology. In 1980 I began to build a migratory beekeeping operation in California, and currently run about 1000 hives with my two sons, from which we make our livings. In 1993, the varroa mite arrived in California, and after it wiped out my operation for the second time in 1999, I decided to "hit the books" and use my scientific background to learn to fight back"

The aim of the EU FP 7 Large-Scale Integrating Project LarKC is to develop the Large Knowledge Collider (LarKC, for short, pronounced "lark"), a platform for massive distributed incomplete reasoning that will remove the scalability barriers of currently existing reasoning systems for the Semantic Web.

Many newly diagnosed prostate cancers present as low Gleason score tumors that require no treatment intervention. Distinguishing the many indolent tumors from the minority of lethal ones remains a major clinical challenge. We now show that low Gleason score prostate tumors can be distinguished as indolent and aggressive subgroups on the basis of their expression of genes associated with aging and senescence. Using gene set enrichment analysis, we identified a 19-gene signature enriched in indolent prostate tumors. We then further classified this signature with a decision tree learning model to identify three genes-FGFR1, PMP22, and CDKN1A-that together accurately predicted outcome of low Gleason score tumors. Validation of this three-gene panel on independent cohorts confirmed its independent prognostic value as well as its ability to improve prognosis with currently used clinical nomograms. Furthermore, protein expression of this three-gene panel in biopsy samples distinguished Gleason 6 patients who failed surveillance over a 10-year period. We propose that this signature may be incorporated into prognostic assays for monitoring patients on active surveillance to facilitate appropriate courses of treatment.

Living Science is an open and editable database for publication metadata, structured as author profiles and for all research fields. There are currently 100345 author profiles.