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文章称，如果货币持续贬值，新兴市场国家将面临进口物价上涨和外汇计价债务偿还负担增大等问题。如果对外债务多于外汇储备，就很容易发生拖欠债务的情况。土耳其的对外债务约4500亿美元，规模约为外汇储备的4倍，财政方面非常脆弱。从对外债务来看，印度尼西亚约为3500亿美元，阿根廷约为2300亿美元，均超过自身的外汇储备。
至于代际交替的准备，公司方面则指出，为了永葆京东方“人才辈出，基业长青”的创新力、创造力和生命力，早在2000年，王东升就提出“打造第二代，培育第三代”的人才梯队建设构想；2007年，公司经营团队的梯队结构初步形成。历经多年砥砺成长，京东方已经炼就了一支年富力强，富有魄力，敢打必胜的优秀队伍。2016年5月，王东升提出将CEO之职交予陈炎顺。三年来，在复杂的全球竞争市场环境下，CEO团队交了一份不错的答卷。
瑞典音乐平台Spotify的DanieliiEk在2019年以5,000万人民币的价格在瑞典购买了一栋别墅。新冠病毒疫情期间80后企业家积极捐赠，其中包括：张一鸣的字节跳动向中国红十字基金会捐赠设立抗击新型冠状病毒感染的肺炎疫情防控医务人员人道救助专项基金，基金总额目前增至3.91亿元，其中包括张一鸣个人捐赠1亿元；穆荣均的美团点评捐赠2亿元，设立专项公益基金，支持服务医护人员；黄峥的拼多多捐赠1亿元与浙江大学联合成立“病毒感染性疾病防控专项基金”；张邦鑫的好未来设立1亿元抗击疫情专项基金，其中捐赠给武汉市慈善总会2,000万元，8,000万元用于教育专项；宿华的快手科技向武汉市政府捐赠1亿元。
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伴随主动权益类基金规模缩水，在积极保壳和消极清盘之间，中融基金显然倾向于后者。譬如，中融基金在2018年清盘的融鑫产业和中融强国智造均由基金份额持有人大会表决通过。而就在清盘危机出现的同时，该公司在去年还新成立了三只主动权益类基金。进入2019年，中融基金又发行了两只主动权益类基金，分别是中融策略优选A/C、中融智选质量股票A/C，基金经理分别为解静、易海波。
In terms of academic accomplishments, Geoff has more than 250,000 citations, with more than half in the last five years. He has an astoundingly high H-index of 142. He was the co-inventor of the seminal work on Boltzmann Machines and backpropagation using gradient descent (published in 1983 with Terry Sejnowski, and the Nature paper with David Rumelhart in 1986). This work introduced the idea of hidden layers in neural networks, along with a mathematically elegant and computational tractable way to train their affiliated parameters. Hidden layers freed the software from “human control” (such as expert systems) and back propagation allowed non-linear combination to essentially discover prominent features (in a more goal-directed way than humans) in the process. However, it turned out that these ideas were before their time, as there were not enough data or computing power to enable these theoretical approaches to solve real-world problems or beat other approaches in competitions. The early-1980's were dominated by expert systems, which became discredited in by late-1980's when they were proven to be brittle and unscalable. What displaced expert systems was not Geoff's proposals (which were too early), but simplified versions of neural networks which were compromised to work with less data and computation. My Ph.D. thesis (using hidden Markov models) was among them, and these simplified approaches were able to make some contributions with some applications, but like expert systems, they were not able to scale to the hardest problems (such as playing Go, human-level speech or vision).
