Thousands of Navajo miners faced devastating health issues caused by direct exposure during the mining process. Decades after mining ended, the... Read all Director Lucas Mullikin Star Tommy Rock 在IMDbPro 上查看制作信息 Add to WatchlistPhotos Add photo...
Central Mining Camp, Arizona. Set up in the Dos Cabezos Mtns., this camp was once very active and its well preserved buildings seem ready to begin work again at any time. [Caption by Josef Muench]Josef Muench
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Uraninite is a highly radioactive and interesting mineral. It is the chief ore of uranium and radium, which is found in trace amounts. Helium was first discovered on the earth in samples of uraninite. Radium and helium are found in uraninite because they are the principle products of ur...
aArizona resident 亚利桑那居民[translate] aYou've been better to me that I've been to myself 您是好对我我是对我自己[translate] aSTEP 1: ADD SHEET 第1步: 增加板料[translate] ayestardag 正在翻译,请等待...[translate] a邻居 邻居[translate] ...
解决方案就是主动学习(Active Learning),去主动学习那些比较“难的”,“信息量大的”样本(hard mining)。关键点是每次都挑当前分类器分类效果不理想的那些样本(hard sample)给它训练,假设是训练这部分hard sample对于提升分类器效果最有效而快速。问题是在不知道真正标签的情况下怎么去定义HARD sample?或者说怎么去描...
RepeatMasker (http://www.repeatmasker.org/RepeatModeler.html) was used to annotate the repeat regions based on this library as well as the known Rice TE library (RiTE database, https://www.genome.arizona.edu/cgi-bin/rite/index.cgi) (Copetti et al., 2015). RepeatProteinMask was then used...
Arizona: Taliesin West, Scottsdale Legendary architect Frank Lloyd Wright may have cut his teeth in the Midwest, but he was drawn to the dramatic landscape and endless sunshine of the American West in his later years. To escape the brutal cold of winters at his home base ofTaliesin in Wiscon...
In 1987, California entered into a regional compact for the construction and operation of low-level radioactive waste disposal facilities with the States of Arizona, North Dakota, and South Dakota. The agreement, known as the Southwestern Low-Level Radioactive Waste Disposal Compact (Southwestern Com...
解决方案就是主动学习(Active Learning),去主动学习那些比较“难的”,“信息量大的”样本(hard mining)。关键点是每次都挑当前分类器分类效果不理想的那些样本(hard sample)给它训练,假设是训练这部分hard sample对于提升分类器效果最有效而快速。问题是在不知道真正标签的情况下怎么去定义HARD sample?或者说怎么去描...