This is an exciting time for professionals associated with physical
activity and the health professions. We have seen a substantial
increase in the amount and type of research being conducted.
Qualitative research has grown in popularity and has gained
respect as a viable method of answering important research questions.
Despite its broad appeal and inclusion in many disciplines,
however, qualitative research often has an ethereal or mystical
feel to it, particularly for those practitioners with strong roots in
physical activity and the health professions.
In this paper we present a quantitative and qualitative analysis of annotation in the Hinoki treebank of Japanese, and investigate a method of speeding annotation by using part-of-speech tags. The Hinoki treebank is a Redwoods-style treebank of Japanese dictionary deﬁnition sentences. 5,000 sentences are annotated by three different annotators and the agreement evaluated. An average agreement of 65.4% was found using strict agreement, and 83.5% using labeled precision. Exploiting POS tags allowed the annotators to choose the best parse with 19.5% fewer decisions. ...
Due to the unavoidable nonbiological variations accompanying many
experiments, it is imperative to consider a way of unravelling the functional
interaction structure of a cellular network (e.g. signalling cascades or gene
networks) by using the qualitative information of time-series experimental
data instead of computation through the measured absolute values.
The ability to understand spatial prepositions and motion in natural language will enable a variety of new applications involving systems that can respond to verbal directions, map travel guides, display incident reports, etc., providing for enhanced information extraction, question-answering, information retrieval, and more principled text to scene rendering.
In the past years, a number of lexical association measures have been studied to help extract new scientiﬁc terminology or general-language collocations. The implicit assumption of this research was that newly designed term measures involving more sophisticated statistical criteria would outperform simple counts of cooccurrence frequencies. We here explicitly test this assumption.
This effect was
less than originally feared, however—in part be-
cause earlier expenditures for improving health
and education had enduring effects. As a result of
this experience, most countries’ adjustment pro-
grams today try to rationalize overall government
spending while maintaining cost-effective expen-
ditures in health and education. Despite these im-
provements, much is still to be learned about more
efficient ways of carrying out stabilization and ad-
justment programs while protecting the poor.
Policies to expand schooling are also crucial for
Chapter 10: Project risk management. In this chapter students will be able to: Understand risk and the importance of good project risk management, discuss the elements of planning risk management and the contents of a risk management plan, list common sources of risks on information technology (IT) projects,...
Chapter 1 presents IVUS. Intravascular ultrasound images represent a unique
tool to guide interventional coronary procedures; this technique allows to
supervise the cross-sectional locations of the vessel morphology and to provide
quantitative and qualitative information about the causes and severity of
coronary diseases. At the moment, the automatic extraction of this kind of information
is performed without taking into account the basic signal principles
that guide the process of image generation....
Although farmers do not receive any support from society for the contribution of the dehesa
to welfare of society and the environment, they still conserve, prune and reforest oaks to
maintain fruit production to feed and fatten Iberian pigs during the montanera or pannage.
The ability of the Iberian pig breed to feed on acorns is a key feature in maintaining the
The presence of the lagged dependent variable Ci(-1) has a dual interpretation. On the
one hand, it reflects relationship banking in the vein of the literature discussed in section 2.1.
Long-term enterprise-bank relations help to reduce information asymmetries; banks would be
more willing to lend again if they have already done so (we consider the banking sector as a
whole as the lending party). On the other hand, a positive association can be interpreted as
evidence of soft budget constraints on the part of the banks in the sense of Berglof and Roland
Third, information is better if it is more highly disaggregated (more detailed). For
example, data on wastes produced by individual processes or product lines is better than data on
wastes created by an entire factory. For instance, accounting that assigns a wide variety of costs
to overhead is problematic because of a lack of disaggregation. Disaggregation is necessary to
incremental financial analysis -- i.e., the evaluation of investment or production opportunities
based on their incremental costs and incremental contributions to revenue.
The Fuzzy Set Theory developed by L. Zadeh (Zadeh 1965) as a possible way to
handle uncertainty is particularly useful for the representation of vague expert
knowledge and processing uncertain or imprecise information. The Fuzzy Set
Theory is based on an extension of the classical meaning of the term "set" and
formulates specific logical and arithmetical operations for processing information
defined in the form of fuzzy sets and fuzzy rules.
In conclusion, the results reported herewith show a significant relationship between
epifluorescence microscopy and flow cytometry, but coefficients of variation were
considerably lower for bacterial counts estimated by flow cytometry than epifluorescence
microscopy. Generally, the use of flow cytometry in marine microbiology reduces the
processing time of the sample and increases the number of processed samples.
In some cases, there may be reasonable proxies for quantified benefits and costs. For
example, a firm might possess relatively complete technical descriptions of material flows
(inputs, intermediate products, emissions). These material quantities, while not explicitly
translated into financial quantities, may provide rules of thumb that qualitatively inform
decision-making and guard against severe errors in decision-making.
Data can be defined as the quantitative or qualitative values of a variable. Data is plural of Datum which literally means to give or something given. Data is thought to be the lowest unit of information from which other measurements and analysis can be done. Data can be numbers, images, words, figures, facts or ideas. Data in itself cannot be understood and to get information from the data one must interpret it into meaningful information. There are various methods of interpreting data. Data sources are broadly classified into primary and secondary data....
Qualitative Analysis of Data
There is an important distinction between quantitative research and qualitative research. In quantitative research, the information obtained from the participants is expressed in numerical form. Studies in which we record the number of items recalled, reaction times, or the number of aggressive acts are all examples of quantitative research. In qualitative research, on the other hand, the information obtained from participants is not expressed in numerical form.
The Toulouse School of Economics regularly appears as number one in Europe in rankings based on publication records.
Econphd.net ranked TSE among the best in Europe across all economics fields (first in the world in the economics of
information, and second in the world in industrial organization).
Faculty members are recognized as leaders in their fields and have published many books and articles in top academic
Organizations with customer/client data are more at risk because this data is not only conﬁdential, it is also the type of information that
thieves and hackers seek out. This is especially true when ﬁnancial records or credit card numbers are at risk. There is also the burden of
added social pressure because of the sensitive nature of information that is considered personal. Pressure to protect personal data will increase
over the next several years as privacy legislation is passed in countries around the world.
Even a well-resourced, well-designed evaluation study is
unlikely to be able to address all of the above thematic
areas. Deciding what to monitor should be demand-driven,
informed by the target audience and evaluation objectives
as well as the thematic priorities of an organization.
Similarly, the characteristics of a project or programme
(such as type of intervention, scale, stage) and feasibility
issues (such as institutional capacity, financial and
human resources and time) are important considerations.