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Open Information Extraction

"The aim of the project is to get acquainted with usually inaccessible laboratory procedures - extraction of various organic substances and study them further, growing bacteria on agar plates, DNA extraction and sequencing, explant cultures, various behavioral studies (see BrmRat ) and even heredity experiments. A lot of this may be simple stuff you do not need a well-equipped lab for - once we understand the principles, we can make our way forward. Goals The goal of this project is mainly to enable access to experimental biology for everyone interested in it"

A study was conducted to examine fodder yield and silage quality of maize (Zea mays L.) and climbing bean (Phaseolus vulgaris L.) intercropping with different planting structure. Maize was cultivated alone and intercropped with climbing bean as follows;1 row maize to 1 row climbing bean (1M1K), 1 row maize to 2 rows climbing bean (1M2K) and 2 rows maize to 1 row climbing bean (2M1K). The experiment was laid out in randomized complete block design with four treatments and three replications. The crops were harvested when the maize reached at milk stage and climbing bean at R7 stage. The results indicated significant increase in fresh biomass and dry matter production of maize fodder alone as compared to maize intercropped with climbing bean fodder. However, no difference (p>0.05) was observed in ether extract (EE), and ash (%) of nutrient composition of fodder among the four treatments After 45 days of ensiling period, silage samples were analysed for pH, organic acids (lactic, acetic, and butyric), ammonia-N(NH3-N), dry matter (DM), crude protein (CP), ether extract (EE), neutral detergent fibre (NDF), acid detergent fibre (ADF), water soluble carbohydrate (WSC), calcium (Ca), sodium (Na) and potassium (K). All intercropped silages had higher CP values (1M1K, 12.0%; 1M2K, 12.3%; 2M1K, 11.1%) than the monocrop maize (SM, 8.9%) silage. Higher organic acids and ammonia-N (p<0.05) were produced in the 1M2K silages as compared to others silages. The study showed that among all intercropped silages the 1M2K (1 row maize to 2 rows climbing bean) was preferable according to nutrient composition than other intercropped silages. This research work has been done by Maw Ni Soe Htet1, Rab Nawaz Soomro 2,Hai Jiang bo under College of Agronomy, Northwest A & F University, Yangling Shaanxi, P.R China and College of Animal Science and Technology, Northwest A & F University, Yangling Shaanxi, P.R. China.

On top of our platform we have developed new sophisticated statistical models and machine learning algorithms for a wide range of applications including product targeting, market segmentation, community detection, network security, text analysis, and computer vision. These models enable our customers extract more value from their data and better understand and respond to a rapidly evolving world.

The Intelligence in Wikipedia Project aims to accelerate the extraction of Wikipedia knowledge, e.g. with construction of infoboxes, and link the resulting schemata together to form a knowledge base of outstanding size. Not only will this `semantified Wikipedia' be an even more valuable resource for AI, but it will support Faceted browsing and simple forms of inference that may increase the recall of question-answering systems.

This dataset consists of a conversion of the NASA NSSDC Master Catalog and extracts of the Apollo By Numbers statistics.

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!!

Our genetic code is translated by two super-families of modern-day enzymes. Carter's research team created and superimposed digital three-dimensional versions of the two super-families to see how their structures aligned. Carter found that all the enzymes have virtually identical cores that can be extracted to produce "molecular fossils" he calls Urzymes-Ur meaning earliest or original. The other parts, he said, are variations that were introduced later, as evolution unfolded. These two Urzymes are as close as scientists have gotten to the actual ancient enzymes that would have populated the Earth billions of years ago.

"Cathal Garvey demonstrating Do-it-Yourself DNA extraction in a tent from smarimc on Vimeo. Biohackers, like computer hackers before them, need little more than an electronic mailing list to trade tips and information and find the tools they need. DIYbio is by far the largest such list."

"The Natural Language Processing Group at Stanford University is a team of faculty, research scientists, postdocs, programmers and students who work together on algorithms that allow computers to process and understand human languages. Our work ranges from basic research in computational linguistics to key applications in human language technology, and covers areas such as sentence understanding, machine translation, probabilistic parsing and tagging, biomedical information extraction, grammar induction, word sense disambiguation, automatic question answering, and text to 3D scene generation."

Alkaline protease was extracted by liquid culture of Bacillus licheniformis NO.2709. This product is an enzyme preparation catalyzing protein hydrolysis under alkaline condition (PH during 9-12). It is suitable for industries such as enzymatic detergent, leather depilation, silk degumming, and protein hydrolysis.