11,617 research outputs found
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective
This paper takes a problem-oriented perspective and presents a comprehensive
review of transfer learning methods, both shallow and deep, for cross-dataset
visual recognition. Specifically, it categorises the cross-dataset recognition
into seventeen problems based on a set of carefully chosen data and label
attributes. Such a problem-oriented taxonomy has allowed us to examine how
different transfer learning approaches tackle each problem and how well each
problem has been researched to date. The comprehensive problem-oriented review
of the advances in transfer learning with respect to the problem has not only
revealed the challenges in transfer learning for visual recognition, but also
the problems (e.g. eight of the seventeen problems) that have been scarcely
studied. This survey not only presents an up-to-date technical review for
researchers, but also a systematic approach and a reference for a machine
learning practitioner to categorise a real problem and to look up for a
possible solution accordingly
Determination of mixing angle through decays
We study decays, the quark content of
and the mixing angle of and . We calculate not only the
factorizable contribution in QCD facorization scheme but also the
nonfactorizable hard spectator corrections in QCDF and pQCD approach. We get
consistent result with the experimental data of and
predict the branching ratio of . We suggest two ways
to determine mixing angle . Using the experimental
measured branching ratio of , we can get the
mixing angle with some theoretical uncertainties. We
suggest another way to determine mixing angle using both
of experimental measured decay branching ratios to avoid theoretical uncertainties.Comment: arXiv admin note: substantial text overlap with arXiv:0707.263
The study of decays and determination of mixing angle
We study decays and suggest two methods to
determine the mixing angle. We calculate not only the
factorizable contribution in QCD facorization scheme but also the
nonfactorizable hard spectator corrections in pQCD approach. We get the
branching ratio of which is consistent with recent
experimental data and predict the branching ratio of to be . Two methods for determining
mixing angle are suggested in this paper. For the first
method, we get the mixing angle to be about
, which is in consistency with others in the literature. The
second method depends on less parameters so can be used to determine the
mixing angle with better accuracy but needs, as an input,
the branching ratio for which should be measured in
the near future.Comment: 16pages,4figure
A feedback-driven bubble G24.136+00.436: a possible site of triggered star formation
We present a multi-wavelength study of the IR bubble G24.136+00.436. The
J=1-0 observations of CO, CO and CO were carried out with
the Purple Mountain Observatory 13.7 m telescope. Molecular gas with a velocity
of 94.8 km s is found prominently in the southeast of the bubble,
shaping as a shell with a total mass of . It is
likely assembled during the expansion of the bubble. The expanding shell
consists of six dense cores. Their dense (a few of cm) and
massive (a few of ) characteristics coupled with the broad
linewidths ( 2.5 km s) suggest they are promising sites of forming
high-mass stars or clusters. This could be further consolidated by the
detection of compact HII regions in Cores A and E. We tentatively identified
and classified 63 candidate YSOs based on the \emph{Spitzer} and UKIDSS data.
They are found to be dominantly distributed in regions with strong emission of
molecular gas, indicative of active star formation especially in the shell. The
HII region inside the bubble is mainly ionized by a O8V star(s), of the
dynamical age 1.6 Myr. The enhanced number of candidate YSOs and
secondary star formation in the shell as well as time scales involved, indicate
a possible scenario of triggering star formation, signified by the "collect and
collapse" process.Comment: 13 pages, 10 figures, 4 tables, accepted by Ap
Evaluation on Integrated Innovation Capability of Regions Based on Principal Component Analysis
The main carriers of national innovation capacity are the regions which gather the technology, economy, and culture, and the strength of regional innovation capacity indicates the strength of the national innovation capability, so the key to the improvement of the national innovation capacity is to enhance the innovation capacity of every region. Using statistics and statistical software SPSS V17.0 Statistics for principal component analysis, and to analyze and sort the innovation capability for our country’s 15 provinces and municipalities, evaluate the results and put forward policy recommendations related, to provide better ideas for economic development of every region.Key words: comprehensive evaluation; innovation capability of regions; integrated innovation capability; principal component analysis The title, abstract and keywords are being translated into French at present and the French version will be added into the paper later
A Literature Review of Recent Research on Transcendentalism in China and Abroad
Ralph Waldo Emerson set up a series of ideas which are called “Transcendentalism” by later generations. Transcendentalism is an important intellectual and cultural movement with a religious color in New England in the 1830s. Since the end of the nineteenth centuries, researches on transcendentalism both in America and in other countries have probed into different aspects of transcendentalism deeply. Based on the influence of transcendentalism, comments on transcendentalism, the reflection of transcendentalism in literary works and relationships between transcendentalism and other thoughts, this thesis reviews transcendentalism studies both in China and abroad
Recent progress towards in-situ biogas upgrading technologies
Biogas is mainly produced from the anaerobic fermentation of biomass, containing methane with an extensive range between about 50% and 70%. Higher methane content biogas has higher energy and heat value, which needs biogas upgrading. There are mainly two types of biogas upgrading technologies (ex-situ and in-situ). This manuscript presents a review of technologies on in-situ biogas upgrading. These technologies comprise H2 addition technology (e.g., continuous stirring tank reactor (CSTR), hollow fiber membrane (HFM), nano-bubble (NB) technology, upflow anaerobic sludge blanket (UASB)), high-pressure anaerobic digestion (HPAD), bioelectrochemical system (BES), and additives (e.g., ash, biochar, and iron powder). The results confirm the excellence of H2-addition technology, with the highest average CH4 content obtained (HFM: 92.5%) and one of the few full-scale cases reported (Danish GasMix ejector system: 1110 m3). Meanwhile, newly pop-up technology such as HPAD delivers appropriate CH4 content (an average of 87%) and is close to the full-scale application (https://bareau.nl/en/for-professionals/). More importantly, the combo between HPAD and H2-addition technology is prominent as the former improves the low gas-to-liquid obstacle confronted by the latter. Additionally, recently emerging BES can't stand out yet because of limited efficiency on CH4 content or constraint full-scale application behaviors (disability to operate at high current density). However, its combination with H2-addition technology to form the Power to Gas (PtG) concept is promising, and its commercial application is available (http://www.electrochaea.com/). Hydrogenotrophic methanogens are imperative players in all reviewed technologies for the generation of upgraded CH4
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