1,723,013 research outputs found
Yu yi cao
No full textV.1-4. 醫門法律 : 六卷 -- v.5-6. 尚論篇 : 四卷, 卷首 -- v.7. 尚論後篇 : 四卷 -- v.8. 寓意草.V.1-4. Yi men fa lü : liu juan -- v.5-6. Shang lun pian : si juan, juan shou -- v.7. Shang lun hou pian : si juan -- v.8. Yu yi cao.[喻昌著 ; 陳守誠重梓].綫裝.框15.6x11.3公分, 12行40字. 白口, 四周單邊, 對黑魚尾. 版心上鐫題名, 中鐫卷次及小題, 下鐫葉次.書名背頁牌記刻"光緖二十年[1894]上海圖書集成印書局印"三題合刻疑為"喻氏醫書三種", 《中國叢書綜錄》(p.721)及《中國中醫古籍總目》(13137)著錄. 原書書根題為"醫門法律".鈐"莊兆祥印"Xian zhuang.Kuang 15.6 x 11.3 gong fen, 12 hang 40 zi. Bai kou, si zhou dan bian, dui hei yu wei. Ban xin shang juan ti ming, zhong juan juan ci ji xiao ti, xia juan ye ci.Detailed notes in vernacular field only.Detailed notes in vernacular field only.[Yu Chang zhu ; Chen Shoucheng chong zi].Qian "Zhuang Zhaoxiang yin
Yu yi yan jiu Yuyi yanjiu
No full textBen shu shou you wen zhang 17 pian, qi zhong you " yu jing yu yu yi ", " qi yi xian xiang zhong zhong ", " shuo yu yi " den
Research on sustainable development of immovable cultural heritage in the inner city of Changsha, China
Full text linkChangsha(长沙),
as
a
famous
historic
city
in
the
midland
of
China,
bears
a
long
history
of
urban
development
and
has
experienced
twists
and
turns
in
conservation
of
immovable
cultural
relics.
As
a
result,
a
number
of
immovable
cultural
heritages
have
remained.
In
recent
years,
just
like
other
major
cities
in
China,
Changsha
has
been
brought
into
a
critical
moment
when
its
urban
renewal
threatens
the
existence
and
prospect
of
immovable
cultural
heritage,
especially
in
the
inner
city.
Seemingly,
sustainable
developments
in
the
urban
and
in
the
conservation
of
immovable
historic
relics
are
incompatible.
Based
on
the
understanding
of
the
background
concerning
the
territory,
the
context
and
the
basic
related
information
to
conservation,
this
thesis
has
made
a
survey
of
the
status
including
entities
that
perform
conservation,
objects
and
main
measures
of
conservation
for
immovable
cultural
heritage
in
the
inner
city
of
Changsha.
Combined
with
the
understanding
of
sustainable
development
and
application
of
its
theories
in
conserving
immovable
cultural
heritage,
the
materials
from
the
survey
are
analyzed,
from
the
perspectives
of
conservation
methodologies,
urban
planning
and
other
significant
issues.
The
thesis
tries
to
bring
up
several
proposals
on
strategies
concerning
the
sustainable
development
of
immovable
cultural
heritage
for
the
specific
case
of
inner
city
of
Changsha.
Finally
it
is
mentioned
in
the
conclusion
that,
in
Changsha,
to
fulfill
the
sustainable
development
in
urban
growth
and
cultural
heritage
conservation,
the
cultural
resources
shall
be
preserved
and
exploited
at
maximum
in
an
active
and
adaptive
way.
In
this
phase
of
society
development,
conserving
immovable
cultural
heritage
shall
make
efforts
in
sustaining
in
economy,
society
and
environment
and
even
contributing
to
them,
yet
it
absolutely
needs
supports
from
the
city
in
these
three
aspects
Supplemental material for Hierarchical Bayes approach for subgroup analysis
No full textSupplemental Material for Hierarchical Bayes approach for subgroup analysis by Yu-Yi Hsu, Jyoti Zalkikar and Ram C Tiwari in Statistical Methods in Medical Research</p
Xiang hu zuo yong de chao leng yuan zi yu yi wei xi tong zhi you guan ke ti
No full textMa, Kwok Wai = 相互作用的超冷原子於一維系統之有關課題 / 馬國威.Thesis (M.Phil.)--Chinese University of Hong Kong, 2013.Includes bibliographical references (leaves 69-74).Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.Abstracts also in Chinese.Ma, Kwok Wai = Xiang hu zuo yong de chao leng yuan zi yu yi wei xi tong zhi you guan ke ti / Ma Guowei
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Intelligent reliability analysis with incomplete covariates
No full textThe reliability analysis is crucial to reducing unexpected down time, severe failures and ever tightened maintenance budget of engineering assets. Hazard based reliability methods are of particular interest as hazard reflects the current health status of engineering assets and their imminent failure risks. Most existing hazard models were constructed using the statistical methods. However, these methods were established largely based on two assumptions: one is the assumption of baseline failure distributions being accurate to the population concerned and the other is the assumption of effects of covariates on hazards. These two assumptions may be difficult to achieve and therefore compromise the effectiveness of hazard models in the application. To address this issue, a non-linear hazard modelling approach is developed in this research using neural networks (NNs), resulting in neural network hazard models (NNHMs), to deal with limitations due to the two assumptions for statistical models.\ud
\ud
With the success of failure prevention effort, less failure history becomes available for reliability analysis. Involving condition data or covariates is a natural solution to this challenge. A critical issue for involving covariates in reliability analysis is that complete and consistent covariate data are often unavailable in reality due to inconsistent measuring frequencies of multiple covariates, sensor failure, and sparse intrusive measurements. This problem has not been studied adequately in current reliability applications. This research thus investigates such incomplete covariates problem in reliability analysis. Typical approaches to handling incomplete covariates have been studied to investigate their performance and effects on the reliability analysis results. Since these existing approaches could underestimate the variance in regressions and introduce extra uncertainties to reliability analysis, the developed NNHMs are extended to include handling incomplete covariates as an integral part.\ud
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The extended versions of NNHMs have been validated using simulated bearing data and real data from a liquefied natural gas pump. The results demonstrate the new approach outperforms the typical incomplete covariates handling approaches.\ud
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Another problem in reliability analysis is that future covariates of engineering assets are generally unavailable. In existing practices for multi-step reliability analysis, historical covariates were used to estimate the future covariates. Covariates of engineering assets, however, are often subject to substantial fluctuation due to the influence of both engineering degradation and changes in environmental settings.\ud
\ud
The commonly used covariate extrapolation methods thus would not be suitable because of the error accumulation and uncertainty propagation. To overcome this difficulty, instead of directly extrapolating covariate values, projection of covariate states is conducted in this research. The estimated covariate states and unknown covariate values in future running steps of assets constitute an incomplete covariate set which is then analysed by the extended NNHMs. A new assessment function is also proposed to evaluate risks of underestimated and overestimated reliability analysis results. A case study using field data from a paper and pulp mill has been conducted and it demonstrates that this new multi-step reliability analysis procedure is able to generate more accurate analysis results
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