Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Improved methods for the mathematically controlled comparison of biochemical systems
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: An improved method for detecting and delineating genomic regions with altered gene expression in cancer...
We present an improved method for automated word alignment of parallel texts which takes advantage of knowledge of syntactic divergences, while avoiding the need for syntactic analysis of the less resource rich language, and retaining the robustness of syntactically agnostic approaches such as the IBM word alignment models. We achieve this by using simple, easily-elicited knowledge to produce syntaxbased heuristics which transform the target language (e.g.
While the stochastic volatility (SV) generalization has been shown to
improve the explanatory power over the Black-Scholes model, empirical
implications of SV models on option pricing have not yet been adequately
tested. The purpose of this paper is to ﬁrst estimate a multivariate SV
model using the efﬁcient method of moments (EMM) technique from
observations of underlying state variables and then investigate the respective
effect of stochastic interest rates, systematic volatility and idiosyncratic
volatility on option prices....
Casting process is the most direct method of producing a product from the chosen material.
Though products in all the three major classes of materials, metals, ceramics and polymers
can be produced by this method, casting of metals is by far the most widely used process.
The basic steps in the casting process are preparation of the material in the liquid state,
transferring the liquid material into a shaping mold, allowing the transformation of liquid
material in the mold into a solid form.
SERVICE PROCESS KAIZEN: ADOPTING PROCESS STABILIZATION METHODS TO CONTROL SERVICE WORK FLOW AND TO IMPROVE CUSTOMER SERVICE I drop MSAs that are not in SAT states or where
available completion rate data cover less than two thirds of public enrollment. This leaves a
sample of 931 districts from 50 MSAs. In spite of the serious limitations in the CCD data,
the pattern of results in Panel D is quite similar to that in Panel C. Again, the student quality
index is a strong predictor of completion rates, but its coefficient is (insignificantly) smaller
in high-choice than in low-choice MSAs....
Because of the availability of powerful computational techniques, new modality
techniques such as Computer-Aided Tomography (CAT), Magnetic Resonance
Imaging (MRI) and others, and because of the new techniques of imaging processing
(machine vision), the lives of many patients will be saved, and the quality of
all our lives improved. This marriage of powerful computer technology and medical
imaging has spawned a new and growing generation of young dynamic doctors
who hold PhDs in physics and/or computer science, along with their MDs.
This thesis describes a programme of continuous action research,
involving an international network of major organisations to which
projects are important. The research concerns the development of
methodology and content to build this nchvork into a learning
community for project improvement. The research started with six
quite basic questions about project management practices but it has led
to significant developments in:
The charge to the Committee on Crossing the Quality Chasm: Adaptation
to Mental Health and Addictive Disorders was broad, encompassing
health care for both mental and substance-use conditions, the public and
private sectors, and the comprehensive range of issues addressed in the 2001
Institute of Medicine report Crossing the Quality Chasm: A New Health
System for the 21st Century. The committee was pleased to be asked to
address this breadth of issues.
How well does your enterprise stand up against today's sophisticated security threats? In this book, security experts from Cisco Systems demonstrate how to detect damaging security incidents on your global network--first by teaching you which assets you need to monitor closely, and then by helping you develop targeted strategies and pragmatic techniques to protect them.
Security Monitoring is based on the authors' years of experience conducting incident response to keep Cisco's global network secure. It offers six steps to improve network monitoring. ...
We present a statistical model of Japanese unknown words consisting of a set of length and spelling models classified by the character types that constitute a word. The point is quite simple: different character sets should be treated differently and the changes between character types are very important because Japanese script has both ideograms like Chinese (kanji) and phonograms like English (katakana). Both word segmentation accuracy and part of speech tagging accuracy are improved by the proposed model. ...
Automated summarization methods can be deﬁned as “language-independent,” if they are not based on any languagespeciﬁc knowledge. Such methods can be used for multilingual summarization deﬁned by Mani (2001) as “processing several languages, with summary in the same language as input.” In this paper, we introduce MUSE, a languageindependent approach for extractive summarization based on the linear optimization of several sentence ranking measures using a genetic algorithm.
We present a novel method to improve word alignment quality and eventually the translation performance by producing and combining complementary word alignments for low-resource languages. Instead of focusing on the improvement of a single set of word alignments, we generate multiple sets of diversiﬁed alignments based on different motivations, such as linguistic knowledge, morphology and heuristics.
In this paper, we present a novel approach which incorporates the web-derived selectional preferences to improve statistical dependency parsing. Conventional selectional preference learning methods have usually focused on word-to-class relations, e.g., a verb selects as its subject a given nominal class.
Recently confusion network decoding shows the best performance in combining outputs from multiple machine translation (MT) systems. However, overcoming different word orders presented in multiple MT systems during hypothesis alignment still remains the biggest challenge to confusion network-based MT system combination. In this paper, we compare four commonly used word alignment methods, namely GIZA++, TER, CLA and IHMM, for hypothesis alignment.
We investigate a number of simple methods for improving the word-alignment accuracy of IBM Model 1. We demonstrate reduction in alignment error rate of approximately 30% resulting from (1) giving extra weight to the probability of alignment to the null word, (2) smoothing probability estimates for rare words, and (3) using a simple heuristic estimation method to initialize, or replace, EM training of model parameters.
Although indexes may overlap, the output of an automatic indexer is generally presented as a fiat and unstructured list of terms. Our purpose is to exploit term overlap and embedding so as to yield a substantial qualitative and quantitative improvement in automatic indexing through concept combination. The increase in the volume of indexing is 10.5% for free indexing and 52.3% for controlled indexing. The resulting structure of the indexed corpus is a partial conceptual analysis.
Weld toe improvement methods have been widely investigated and have, in most cases, been found to give substantial
increases in fatigue strength. However, there are large variations in the actual improvements achieved, and the results
obtained by various methods are not always ranked in a consistent manner. One explanation for the observed varia
tions is the lack of standardization of the optimum method of application, but variations in the material, type of loading
and type of weld detail may also have influenced the results.
Probabilistic Latent Semantic Analysis (PLSA) models have been shown to provide a better model for capturing polysemy and synonymy than Latent Semantic Analysis (LSA). However, the parameters of a PLSA model are trained using the Expectation Maximization (EM) algorithm, and as a result, the trained model is dependent on the initialization values so that performance can be highly variable. In this paper we present a method for using LSA analysis to initialize a PLSA model.