We propose a two-step inversion of three-component seismograms that ( 1) recovers
the far-field source time function at each station and (2) estimates the distribution of
co-seismic slip on the fault plane for small earthquakes (magnitude 3 to 4). The
empirical Green’s function (EGF) method consists of finding a small earthquake
located near the one we wish to study and then performing a deconvolution to remove
the path, site, and instrumental effects from the main-event signal.
Lexieal disambiguation can be achieved using different sources of information. Aiming at high performance of automatic disambiguation it is important to know the relative importance and applicability of the various sources. In this paper we classify several sources of information and show how some of them can be achieved using statistical data. First evaluations indicate the extreme importance of local information, which mainly represents lexical associations and seleetional restrictions for syntactically related words. ...
Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Distribution of hepatitis C virus genotypes in patients infected by different sources and its correlation with clinical and virological parameters: a preliminary study...
A novel approach to the problem of text understanding is presented, which exploits a distributed processing concept, where knowledge from different sources comes into play in the course of comprehension. In the paper the rationale of advocating such an approach and the.advantages in following it are discussed. A prototype parser based on an original distributed problem-solving architecture is presented.
[ Team LiB ] Recipe 4.7 Updating a Data Source with Data from a Different Data Source Problem You want to update a data source using changes made to another data source for data replication or auditing purposes. Solution Use the GetChanges( )
"Market orientation," may actually encompass several different approaches to the strategic alignment of the organization with the external environment. This article develops a market orientation typology matrix as a pedagogical and heuristic tool to summarize these distinct approaches. Specifically, firms can decide to focus primarily on either competitors or customers as the situation dictates, or perhaps attempt the difficult task of simultaneously monitoring both with equal emphasis.
Income statements in the accounting world focus heavily on revenue as a function of company
volume and as a measure of company growth. The principal source of revenue for insurance
companies is premium from insurance sales. (The other principal source of revenue for insurers
is typically investment income.)
The timing of when a company can recognize sales revenue in its income statement is a major
issue for most accounting systems.
The essays that follow adopt and adapt, explore and expand an approach to the
medieval art object that Madeline Caviness has dubbed “triangulation.” The pioneering
role of Professor Caviness in pursuing critical and theoretical goals provides the a priori
condition for this volume.
Keynes’s liquidity preference theory touched on the maturity transformation issue. He argued
that the private sector’s willingness to assume liquidity and maturity risks is not
well-anchored in fundamentals. Instead it is strongly influenced by subjective factors. Hence
his policy prescription was that government debt issuance should “accommodate the
preferences of the public for different maturities”. It was, he argued, socially desirable that
risk-averse investors should be offered some minimum, safe return on their capital.
Lean Manufacturing is Mainstream. Substantial research and literature exists indicating that
American industries are actively implementing Lean Manufacturing as a key strategy for remaining
competitive in today’s manufacturing environment, and implementation of this manufacturing
paradigm shift is taking place across numerous industrial and source sectors.
It is expected that by the year 2015, the country will produce about 600 - 800 million
doses of trivalent vaccine annually. In Asia as a whole, well organized production facilities are
available and several countries in the region source the vaccine from India. Keeping abreast
with the contemporary developments research efforts are going on in addressing the major
challenge of increasing the duration of immunity and development of new generation
vaccines. The salient research accomplishments in the development and application of FMD
vaccines in India are described here. ...
Typically, these actors attempt to exploit flaws in the system implementation or its deployment in order to
obtain information, acquire access to services, or simply to disrupt the operation of the cloud through loss of
system availability or system and information integrity. As the description of these attacks implies, some of
these attacks violate the tenant boundaries and hardware abstraction layers that VMware vCloud Director
attempts to enforce.
Diaspora investors tend to have different perceptions of risk than
non-diaspora investors. Given their homeland connections, diaspora
members may have better information about investment opportunities
in their countries of origin and are less sensitive to exchange-rate risks
than other investors, because they have domestic-currency obligations in
their country of origin such as support payments to family members or
running costs of domestic businesses, mortgages, or returns to domestic
share-holders. They also may have a different time horizon.
Four of the top-10 ranked problems in the survey are tax related. In total, the survey lists
nine tax-related questions including federal and state taxes on business income, property taxes,
tax complexity and frequent changes in federal tax laws and rules (Chart 2). If combined into
one problem, the ranking would likely be different. NFIB’s Small Business Economic Trends
ranked the overall burden of a generic “taxes” above the cost of insurance as the number one
problem for a large portion of the last decade.
“Federal Taxes on Business Income” ranks 3rd, up from 5th in 2004.
We describe a sentiment classiﬁcation method that is applicable when we do not have any labeled data for a target domain but have some labeled data for multiple other domains, designated as the source domains. We automatically create a sentiment sensitive thesaurus using both labeled and unlabeled data from multiple source domains to ﬁnd the association between words that express similar sentiments in different domains.
Transliteration, a rich source of proper noun spelling variations, is usually recognized by phonetic- or spelling-based models. However, a single model cannot deal with different words from different language origins, e.g., “get” in “piaget” and “target.” Li et al. (2007) propose a method which explicitly models and classiﬁes the source language origins and switches transliteration models accordingly. This model, however, requires an explicitly tagged training set with language origins. ...
Most foreign names are transliterated into Chinese, Japanese or Korean with approximate phonetic equivalents. The transliteration is usually achieved through intermediate phonemic mapping. This paper presents a new framework that allows direct orthographical mapping (DOM) between two different languages, through a joint source-channel model, also called n-gram transliteration model (TM).
We report in this paper the observation of one tokenization per source. That is, the same critical fragment in different sentences from the same source almost always realize one and the same of its many possible tokenizations. This observation is demonstrated very helpful in sentence tokenization practice, and is argued to be with far-reaching implications in natural language processing.
Word sense disambiguation algorithms, with few exceptions, have made use of only one lexical knowledge source. We describe a system which performs word sense disambiguation on all content words in free text by combining different knowledge sources: semantic preferences, dictionary definitions and subject/domain codes along with part-of-speech tags, optimised by means of a learning algorithm. We also describe the creation of a new sense tagged corpus by combining existing resources.
Multi-source statistical machine translation is the process of generating a single translation from multiple inputs. Previous work has focused primarily on selecting from potential outputs of separate translation systems, and solely on multi-parallel corpora and test sets. We demonstrate how multi-source translation can be adapted for multiple monolingual inputs.