3,610 research outputs found
Port safety evaluation from a captain's perspective: The Korean experience
There are many factors affecting navigational safety in ports, including weather, the characteristics of the channels and vessel types, etc. This paper aims to identify the factors influencing navigational safety in ports and to analyze the extent to which such factors affect the safety of ports from the perspective of ship captains through a real case study. A quantitative analysis is carried out using the data collected from 21 captains who have over 10. years experience in operating ships individually. The identified factors indicate risk implications in ports. A fuzzy analytical hierarchy process is used to evaluate the importance of the factors and to rank the safety levels of the targeted ports in Korea from a captain's perspective. Consequently, among Busan, Ulsan, Gwangyang, Incheon, and Mokpo, Busan is evaluated by captains as the safest port, while Mokpo is the most risky. The research also reveals that it is applicable to use domain expert knowledge when historical failure data is unavailable or difficult to access to evaluate port safety. The result shows great research significance in terms of providing relevant stakeholders, such as port authorities and shipping companies, with an insight into port safety performance and thus facilitating the development of the associated risk control measures. © 2014 Elsevier Ltd
The effect of dynamical scattering on single-plane phase retrieval in electron ptychography
Segmented and pixelated detectors on scanning transmission electron microscopes enable the complex specimen transmission function to be reconstructed. Imaging the transmission function is key to interpreting the electric and magnetic properties of the specimen, and as such four-dimensional scanning transmission electron microscopy (4D-STEM) imaging techniques are crucial for our understanding of functional materials. Many of the algorithms used in the reconstruction of the transmission function rely on the multiplicative approximation and the (weak) phase object approximation, which are not valid for many materials, particularly at high resolution. Herein, we study the breakdown of simple phase imaging in thicker samples. We demonstrate the behavior of integrated center of mass imaging, single-side band ptychography, and Wigner distribution deconvolution over a thickness series of simulated GaN 4D-STEM datasets. We further give guidance as to the optimal focal conditions for obtaining a more interpretable dataset using these algorithms
Deformation of the Fermi surface in the extended Hubbard model
The deformation of the Fermi surface induced by Coulomb interactions is
investigated in the t-t'-Hubbard model. The interplay of the local U and
extended V interactions is analyzed. It is found that exchange interactions V
enhance small anisotropies producing deformations of the Fermi surface which
break the point group symmetry of the square lattice at the Van Hove filling.
This Pomeranchuck instability competes with ferromagnetism and is suppressed at
a critical value of U(V). The interaction V renormalizes the t' parameter to
smaller values what favours nesting. It also induces changes on the topology of
the Fermi surface which can go from hole to electron-like what may explain
recent ARPES experiments.Comment: 5 pages, 4 ps figure
correction to pseudoscalar quarkonium decay to two photons
We investigate the correction to the process of
pseudoscalar quarkonium decay to two photons in nonrelativistic QCD (NRQCD)
factorization framework. The short-distance coefficient associated with the
relative-order NRQCD matrix element is determined to next-to-leading
order in through the perturbative matching procedure. Some technical
subtleties encountered in calculating the {O(\alpha_s) QCD amplitude are
thoroughly addressed.Comment: v2, 28 pages, 2 figures and 2 tables, matching the published version;
typos corrected, references added, as well as a "Note added in the proof
Use of mouse models to validate and therapeutically target transforming growth factor beta as an important player in breast cancer progression
Analytical study on holographic superconductors in external magnetic field
We investigate the holographic superconductors immersed in an external
magnetic field by using the analytical approach. We obtain the spatially
dependent condensate solutions in the presence of the magnetism and find
analytically that the upper critical magnetic field satisfies the relation
given in the Ginzburg-Landau theory. We observe analytically the reminiscent of
the Meissner effect where the magnetic field expels the condensate. Extending
to the D-dimensional Gauss-Bonnet AdS black holes, we examine the influence
given by the Gauss-Bonnet coupling on the condensation. Different from the
positive coupling, we find that the negative Gauss-Bonnet coupling enhances the
condensation when the external magnetism is not strong enough.Comment: revised version, to appear in JHE
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
Predicting clinical outcome is remarkably important but challenging. Research
efforts have been paid on seeking significant biomarkers associated with the
therapy response or/and patient survival. However, these biomarkers are
generally costly and invasive, and possibly dissatifactory for novel therapy.
On the other hand, multi-modal, heterogeneous, unaligned temporal data is
continuously generated in clinical practice. This paper aims at a unified deep
learning approach to predict patient prognosis and therapy response, with
easily accessible data, e.g., radiographics, laboratory and clinical
information. Prior arts focus on modeling single data modality, or ignore the
temporal changes. Importantly, the clinical time series is asynchronous in
practice, i.e., recorded with irregular intervals. In this study, we formalize
the prognosis modeling as a multi-modal asynchronous time series classification
task, and propose a MIA-Prognosis framework with Measurement, Intervention and
Assessment (MIA) information to predict therapy response, where a Simple
Temporal Attention (SimTA) module is developed to process the asynchronous time
series. Experiments on synthetic dataset validate the superiory of SimTA over
standard RNN-based approaches. Furthermore, we experiment the proposed method
on an in-house, retrospective dataset of real-world non-small cell lung cancer
patients under anti-PD-1 immunotherapy. The proposed method achieves promising
performance on predicting the immunotherapy response. Notably, our predictive
model could further stratify low-risk and high-risk patients in terms of
long-term survival.Comment: MICCAI 2020 (Early Accepted; Student Travel Award
Intra-articular adhesions of the temporomandibular joint: Relation between arthroscopic findings and clinical symptoms
5D gravity and the discrepant G measurements
It is shown that 5D Kaluza-Klein theory stabilized by an external bulk scalar
field may solve the discrepant laboratory G measurements. This is achieved by
an effective coupling between gravitation and the geomagnetic field.
Experimental considerations are also addressed.Comment: 13 pages, to be published in: Proceedings of the 18th Course of the
School on Cosmology and Gravitation: The gravitational Constant. Generalized
gravitational theories and experiments (30 April-10 May 2003, Erice). Ed. by
G. T. Gillies, V. N. Melnikov and V. de Sabbata, (Kluwer), 13pp. (in print)
(2003
The NLO QCD Corrections to Meson Production in Decays
The decay width of to meson is evaluated at the next-to-leading
order(NLO) accuracy in strong interaction. Numerical calculation shows that the
NLO correction to this process is remarkable. The quantum
chromodynamics(QCD)renormalization scale dependence of the results is obviously
depressed, and hence the uncertainties lying in the leading order calculation
are reduced.Comment: 14 pages, 7 figures; references added; expressions and typos ammende
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