منابع مشابه
MARIAN Client / Server Interaction
The MARIAN system, like many information systems, can be divided in to a client part and a server part (Fig. 1). Historically, MARIAN was designed to support stand-alone single-user clients running on desktop machines. Although some of these clients are still in existence, this has not been the primary means of interacting with the system since the Web revolution of the mid-1990s. Most users no...
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T rying to pick your way through all the factors that govern differential gene expression patterns in multi-cellular organisms can be a tricky business. A quick glance at Marian Walhout's maps of the interactions between transcription factors and DNA elements could easily leave one feeling more lost than ever. But Walhout, who constructs these maps using high-throughput screens and computationa...
متن کامل1 TRADITIONAL MEDICINE by Marian
The traditional health care system in Ghana is a holistic one that integrates our social ethics, religious morals and cultural values. We believe that the health of an individual has a link with the metaphysical and supernatural world; with the Creator, divinities and ancestral spirits. With this belief, disease has a spiritual dimension. In spite of this the scientific theory of disease is als...
متن کاملMARIAN: Flexible Interoperability for Federated Digital Libraries
Federated digital libraries are composed of distributed, autonomous, and often heterogeneous information services but provide users with a transparent, integrated view of collected information. In this paper we discuss a federated system for the Networked Digital Library of Theses and Dissertations (NDLTD), an international consortium of universities, libraries, and other supporting institution...
متن کاملMarian: Fast Neural Machine Translation in C++
We present Marian, an efficient and selfcontained Neural Machine Translation framework with an integrated automatic differentiation engine based on dynamic computation graphs. Marian is written entirely in C++. We describe the design of the encoder-decoder framework and demonstrate that a research-friendly toolkit can achieve high training and translation speed.
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ژورنال
عنوان ژورنال: Chest
سال: 2019
ISSN: 0012-3692
DOI: 10.1016/j.chest.2019.02.322