﻿<?xml version="1.0" encoding="utf-8"?><rss xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><channel><totalitems>160</totalitems><casualities>1</casualities><lasthour>0</lasthour><title>GDACS EMM News Feed</title><description>
                                                        Europe Media Monitor (EMM) reads and analyses around 40.000 new news items per day from around 1000 sites worldwide. The text of the items, extracted using EMM's own text extraction algorithm, is indexed using Lucene (see http://lucene.apache.org). Please make sure your area of interest is not already covered by one of the pre-defined categories (alerts). If it is, we kindly ask you to use the feed from that category as this significantly reduces the load on our system. This site is a joint project of DG-JRC and DG-COMM. The information on this site is subject to a disclaimer (see http://europa.eu/geninfo/legal_notices_en.htm). Please acknowledge EMM when (re)using this material
                                                    </description><item><title>The Science of the Arts</title><link>https://www.aspeninstitute.org/videos/the-science-of-the-arts/</link><description>The COVID pandemic has clearly demonstrated the importance of music and other arts to all of humanity. But their power and their value go far beyond easing us through difficult times. The arts don’t just allow us to “feel” something; scientists are now providing evidence on how they actually improve health and well-being.</description><pubDate>Thu, 16 Jul 2020 21:36:00 +0200</pubDate><guid>aspeninstitute-de2b65f96894a108536e161a62862110</guid><sortelement xmlns="emm">20200716213600</sortelement></item><item><title>Using the past to predict the future: The case of Typhoon Hagibis</title><link>https://www.eurekalert.org/pub_releases/2020-07/tu-utp071520.php</link><description>IMAGE: The areas and satellite images used for building the machine learning model (2018 heavy rainfall, Mabi town) and to estimate floods of an unknown event (2019 Hagibis typhoon, Koriyama and...

Credit: Tohoku University. The past is often the window to our future, especially when it comes to natural disasters.</description><pubDate>Thu, 16 Jul 2020 16:05:00 +0200</pubDate><guid>eurekalert-d8848de2cde9aae0c9ca4b27e97365ad</guid><sortelement xmlns="emm">20200716160500</sortelement></item><item><title>Strong Luzon quake in ’90 recalled; Phivolcs boosts monitoring capability</title><link>https://mb.com.ph/2020/07/16/strong-luzon-quake-in-90-recalled-phivolcs-boosts-monitoring-capability</link><description>Filipinos recalled on Thursday, July 16, the magnitude-7.8 earthquake that struck Northern and Central Luzon in 1990 which claimed thousands of lives and caused millions of pesos in damage to infrastructure, buildings and homes. The Philippines is part of the Pacific Ring of Fire, an area along the....</description><pubDate>Thu, 16 Jul 2020 08:37:00 +0200</pubDate><guid>mb-com-ph-df9ff2feb176bc3859b15286ee06030f</guid><sortelement xmlns="emm">20200716083700</sortelement></item><item><title>Novelists Takayama and Tono win Akutagawa awards; Hase wins Naoki Prize</title><link>https://www.japantimes.co.jp/news/2020/07/16/national/novelists-takayama-tono-win-akutagawa-awards-hase-wins-naoki-prize/</link><description>Novelists Haneko Takayama and Haruka Tono have won the Akutagawa Prize for up-and-coming authors, while Seishu Hase won the Naoki Prize for popular fiction, the selection committee said Wednesday. Takayama, 45, won for her novel "Shuri no Uma" ("A Horse from Shuri"), which depicts a woman's....</description><pubDate>Thu, 16 Jul 2020 05:48:00 +0200</pubDate><guid>japantimes-016b98e82fa5467cc257687528166970</guid><sortelement xmlns="emm">20200716054800</sortelement></item></channel></rss>