Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Development of a primary care-based complex care management intervention for chronically ill patients at high risk for hospitalization: a study protocol
Up-to-date information about customer satisfaction is important for successful management of
complex projects. The importance of customer satisfaction is emphasized in the case of projectbased
organizations, where a customer often plays an integral role in the project delivery process.
Turner and Keegan (2001, p. 256) elegantly define project-based organization as an organization
Let b ≥ 2 be an integer. We prove that the b-ary expansion of every irrational algebraic number cannot have low complexity. Furthermore, we establish that irrational morphic numbers are transcendental, for a wide class of morphisms. In particular, irrational automatic numbers are transcendental. Our main tool is a new, combinatorial transcendence criterion. 1. Introduction Let b ≥ 2 be an integer. The b-ary expansion of every rational number is eventually periodic, but what can be said about the b-ary expansion of an irrational algebraic number? ...
Treating Complex Acid-Base Systems Complex systems are defined as solutions made up of: 1) Two acids or bases of different strengths HCl + CH3COOH NaOH + CH3COO2) An acid or base that has two or more acidic protons or basic functional groups H3PO4 Ca(OH)2
.3) An amphiprotic substance that is capable of acting as both acid and base HCO3- + H2O CO32- + H3O+ HCO3- + H2O H2CO3 + OHNH3+CH2COO- + H2O NH2CH2COO- + H3O+ NH3+CH2COO- + H2O NH3+CH2COOH + OH-
The staff meeting is just coming to an end and there’s been a lively debate on
the school’s system for end-of-course assessment. A lot of the teachers are
unhappy with the present tests because they find them too grammar based and
this doesn’t fit with the kind of communicative teaching that is used in class.
However no one has any clear ideas about exactly what kind of system to replace
it with… So, it’s been decided to appoint a project group to make proposals.
How variations in genes contribute to variations in disease risk has
been a subject of study for more than 100 years (IOM, 2006). Until fairly
recently research focused on single genes that give rise to rare genetic diseases
such as cystic fibrosis or Huntington’s disease.
Since the first production of tools at the beginning of human presence on Earth, human evolution is
linked to the invention of new tools, usually combined with new environmental adaptations.
The symbiosis of man with tools and environments represents one of the main factors in human
evolutionary processes. It is evident how this coupling is based on the biophysics of our bodies and the
development of the social memory system called culture.
In this paper we describe a novel data structure for phrase-based statistical machine translation which allows for the retrieval of arbitrarily long phrases while simultaneously using less memory than is required by current decoder implementations. We detail the computational complexity and average retrieval times for looking up phrase translations in our sufﬁx array-based data structure. We show how sampling can be used to reduce the retrieval time by orders of magnitude with no loss in translation quality. ...
We augment a model of translation based on re-ordering nodes in syntactic trees in order to allow alignments not conforming to the original tree structure, while keeping computational complexity polynomial in the sentence length. This is done by adding a new subtree cloning operation to either tree-to-string or tree-to-tree alignment algorithms.
Morphological lexica are often implemented on top of morphological paradigms, corresponding to different ways of building the full inﬂection table of a word. Computationally precise lexica may use hundreds of paradigms, and it can be hard for a lexicographer to choose among them. To automate this task, this paper introduces the notion of a smart paradigm. It is a metaparadigm, which inspects the base form and tries to infer which low-level paradigm applies. If the result is uncertain, more forms are given for discrimination.
Results of computational complexity exist for a wide range of phrase structure-based grammar formalisms, while there is an apparent lack of such results for dependency-based formalisms. We here adapt a result on the complexity of ID/LP-grammars to the dependency framework. Contrary to previous studies on heavily restricted dependency grammars, we prove that recognition (and thus, parsing) of linguistically adequate dependency grammars is~A/T'-complete.
The Roundtable on the Demography of Forced Migration was established
by the Committee on Population of the National Research Council
in 1999. The roundtable is composed of experts from academia, government,
philanthropy, and international organizations.
Name ambiguity problem has raised urgent demands for efficient, high-quality named entity disambiguation methods. In recent years, the increasing availability of large-scale, rich semantic knowledge sources (such as Wikipedia and WordNet) creates new opportunities to enhance the named entity disambiguation by developing algorithms which can exploit these knowledge sources at best. The problem is that these knowledge sources are heterogeneous and most of the semantic knowledge within them is embedded in complex structures, such as graphs and networks. ...
We present a novel scheme to apply factored phrase-based SMT to a language pair with very disparate morphological structures. Our approach relies on syntactic analysis on the source side (English) and then encodes a wide variety of local and non-local syntactic structures as complex structural tags which appear as additional factors in the training data. On the target side (Turkish), we only perform morphological analysis and disambiguation but treat the complete complex morphological tag as a factor, instead of separating morphemes. ...
Hierarchical HMM (HHMM) parsers make promising cognitive models: while they use a bounded model of working memory and pursue incremental hypotheses in parallel, they still achieve parsing accuracies competitive with chart-based techniques. This paper aims to validate that a right-corner HHMM parser is also able to produce complexity metrics, which quantify a reader’s incremental difﬁculty in understanding a sentence.
This paper describes ongoing work on distributional models for word meaning in context. We abandon the usual one-vectorper-word paradigm in favor of an exemplar model that activates only relevant occurrences. On a paraphrasing task, we ﬁnd that a simple exemplar model outperforms more complex state-of-the-art models.
Nivre’s method was improved by enhancing deterministic dependency parsing through application of a tree-based model. The model considers all words necessary for selection of parsing actions by including words in the form of trees. It chooses the most probable head candidate from among the trees and uses this candidate to select a parsing action. In an evaluation experiment using the Penn Treebank (WSJ section), the proposed model achieved higher accuracy than did previous deterministic models.
This paper extends the training and tuning regime for phrase-based statistical machine translation to obtain ﬂuent translations into morphologically complex languages (we build an English to Finnish translation system). Our methods use unsupervised morphology induction. Unlike previous work we focus on morphologically productive phrase pairs – our decoder can combine morphemes across phrase boundaries. Morphemes in the target language may not have a corresponding morpheme or word in the source language.
This paper focuses on identifying, extracting and evaluating features related to syntactic complexity of spontaneous spoken responses as part of an effort to expand the current feature set of an automated speech scoring system in order to cover additional aspects considered important in the construct of communicative competence.
We propose a novel approach to translating from a morphologically complex language. Unlike previous research, which has targeted word inﬂections and concatenations, we focus on the pairwise relationship between morphologically related words, which we treat as potential paraphrases and handle using paraphrasing techniques at the word, phrase, and sentence level.