Hispanic "Tomar"

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Artificial Intelligence and Health in Nepal

The growth in information technology and computer capacity has opened up opportunities to deal with much and much larger data sets than even a decade ago. There has been a technological revolution of big data and Artificial Intelligence (AI). Perhaps many readers would immediately think about robotic surgery or self-driving cars, but there is much more to AI. This Short Communication starts with an overview of the key terms, including AI, machine learning, deep learning and Big Data. This Short Communication highlights so developments of AI in health that could benefit a low-income country like Nepal and stresses the need for Nepal’s health and education systems to track such developments and apply them locally. Moreover, Nepal needs to start growing its own AI expertise to help develop national or South Asian solutions. This would require investing in local resources such as access to computer power/ capacity as well as training young Nepali to work in AI

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

THE EMERGENCE OF ISIS IN THE PHILIPPINES

In May 2017, the Islamic State Philippines (IS-P) engaged the Armed Forces of the Philippines (AFP) in the city of Marawi in what became a violent, five-month battle that resulted in the death of 165 Filipino soldiers and policemen, 920 militants, and over 47 civilians, along with the near total destruction of the city. This thesis aims to understand the conditions that led to the battle of Marawi, including which insurgent groups in Mindanao pledged the bayat to the Islamic State in Iraq and Syria (ISIS)—the oath of allegiance—and formed IS-P, and the resources these groups gained by aligning with ISIS. Using qualitative methods and visual analytics, the study reveals that ISIS gained a foothold in Mindanao by capitalizing on pre-existing Muslim insurgent groups that have historic grievances against the government. ISIS also brought important resources to the region, including foreign fighters, funding, social media support, and new tactics, techniques, and procedures. Ultimately, although the AFP ended the fighting in Marawi and eliminated two key insurgent leaders, the groups that formed IS-P and the underlying grievances still remain in Mindanao.http://archive.org/details/theemergenceofis1094559634Colonel, Philippine Marine CorpsMajor, United States ArmyApproved for public release; distribution is unlimited

<i>Kodagu</i> Peda, <i>Tulu</i> Pudar

In the fourth volume of the Linguistic Survey of India, which includes most of the important varieties of Dravidian, Konow has tried to classify the languages described. Evidently Kanara goes with Tamil, Gondi with Kui, and Kurukh with Malto, while Brâhui and Telugu do not seem to be closely related to any of the other main divisions. Unfortunately the Linguistic Survey fails to give accounts of Kodagu (the language of Coorg) and Tulu.</jats:p

Hispanic notes

Separata de: Modern Philology, Vol. XII, No.3, July 1914Na capa: Reprintes for private circulation from Modern Philology, Vol. XII, No.3, July 191

Dbavidian Gender-Wobds

In Les langues du monde Bloch describes the two genders of Gôndi as representing the oldest Dravidian gender-system. This idea is wrong. Kanara and Tamil have three genders in the singular, male-personal (masculine), female-personal (feminine), non-personal (neuter); and two in the plural, personal and non-personal. The same basis, is implied by the other Dravidian gender-systems.</jats:p

Some Dravidian Prefixes

Brâhui regularly has a for ancient short e, and e for ancient weak stressed ai. Brâhui kane (me) corresponds to a blend of Tamil dative enakku and accusative ennai, with the dative-formant prefixed instead of being suffixed: . This inversion of the usual arrangement, parallel with English thereby = by that, is oneof the few cases where a prefix is plainly visible in Dravidian.</jats:p