MycoBank gearing up for new horizons.

MycoBank, a registration system for fungi established in 2004 to capture all taxonomic novelties, acts as a coordination hub between repositories such as Index Fungorum and Fungal Names. Since January 2013, registration of fungal names is a mandatory requirement for valid publication under the International Code of Nomenclature for algae, fungi and plants (ICN). This review explains the database innovations that have been implemented over the past few years, and discusses new features such as advanced queries, registration of typification events (MBT numbers for lecto, epi- and neotypes), the multi-lingual database interface, the nomenclature discussion forum, annotation system, and web services with links to third parties. MycoBank has also introduced novel identification services, linking DNA sequence data to numerous related databases to enable intelligent search queries. Although MycoBank fills an important void for taxon registration, challenges for the future remain to improve links between taxonomic names and DNA data, and to also introduce a formal system for naming fungi known from DNA sequence data only. To further improve the quality of MycoBank data, remote access will now allow registered mycologists to act as MycoBank curators, using Citrix software

THE DEMAND OF DEMOCRATIC LEADER IN SOUTHEAST ASIA: A CASE OF THAI SOCIETY

Thailand is located in Southeast Asia. Thailand's democracy was still struggling that is a military coup by the loop 13 times. Every time a new constitution to allow more democratic, the last time was on May 22, 2014. But many Thai people have come to congratulate and welcome to new leader from powerful military.  The research objectives are to analysis the leader types that Thai society wants and the factors that influence the demand. Then create a mathematical equation. To predict which type of leader depends on what factor. This methodology has been sampled from the voters, total 400 samples to analysis with “stepwise multiple regression analysis”. The finding showed demand of Thai society that the democratic leader with an average of 71.45out of 100 points. Factors that affect democratic leader needs caused by 4 factors that are the policy of the political party, that are the favorite of most people.Secondly, to promote the industrial development to make people earn and have work. Next is ability to organize society And the last are the right and the freedom to express in political, right to elect the leader. The equation can be:Want Democratic Leader      = 45.76 +.28 policy of govt.party                                                            +.26 industrial.estate.                                                            -.24 social.order.ability                                                            + .07 Right.freedom. The research outcome can suggest: Should invent the "new" policies should be “be to one’s taste” of people, should be on promoting industrial development, should promote freedom of opportunity and should increase the ability to organize social order. Research methods should be expanded to bring that research into a new political theory in the future

Inferring the Origin Locations of Tweets with Quantitative Confidence

Social Internet content plays an increasingly critical role in many domains, including public health, disaster management, and politics. However, its utility is limited by missing geographic information; for example, fewer than 1.6% of Twitter messages (tweets) contain a geotag. We propose a scalable, content-based approach to estimate the location of tweets using a novel yet simple variant of gaussian mixture models. Further, because real-world applications depend on quantified uncertainty for such estimates, we propose novel metrics of accuracy, precision, and calibration, and we evaluate our approach accordingly. Experiments on 13 million global, comprehensively multi-lingual tweets show that our approach yields reliable, well-calibrated results competitive with previous computationally intensive methods. We also show that a relatively small number of training data are required for good estimates (roughly 30,000 tweets) and models are quite time-invariant (effective on tweets many weeks newer than the training set). Finally, we show that toponyms and languages with small geographic footprint provide the most useful location signals.Comment: 14 pages, 6 figures. Version 2: Move mathematics to appendix, 2 new references, various other presentation improvements. Version 3: Various presentation improvements, accepted at ACM CSCW 201

Knowledge-to-Action Guides: Preparing Families to Be Partners in Making Educational Decisions

Posted in application of the KU Faculty's Open Access policy