35 research outputs found
Constructing Gauge Theory Geometries from Matrix Models
We use the matrix model -- gauge theory correspondence of Dijkgraaf and Vafa
in order to construct the geometry encoding the exact gaugino condensate
superpotential for the N=1 U(N) gauge theory with adjoint and symmetric or
anti-symmetric matter, broken by a tree level superpotential to a product
subgroup involving U(N_i) and SO(N_i) or Sp(N_i/2) factors. The relevant
geometry is encoded by a non-hyperelliptic Riemann surface, which we extract
from the exact loop equations. We also show that O(1/N) corrections can be
extracted from a logarithmic deformation of this surface. The loop equations
contain explicitly subleading terms of order 1/N, which encode information of
string theory on an orientifolded local quiver geometry.Comment: 52 page
Energy Spectra of Abundant Nuclei of Primary Cosmic Rays from the Data of ATIC-2 Experiment: Final Results
The final results of processing the data from the balloon-born experiment
ATIC-2 (Antarctica, 2002-2003) for the energy spectra of protons and He, C, O,
Ne, Mg, Si, and Fe nuclei, the spectrum of all particles, and the mean
logarithm of atomic weight of primary cosmic rays as a function of energy are
presented. The final results are based on improvement of the methods used
earlier, in particular, considerably increased resolution of the charge
spectrum. The preliminary conclusions on the significant difference in the
spectra of protons and helium nuclei (the proton spectrum is steeper) and the
non-power character of the spectra of protons and heavier nuclei (flattening of
carbon spectrum at energies above 10 TeV) are confirmed. A complex structure of
the energy dependence of the mean logarithm of atomic weight is found.Comment: 4 pages, a paper for 30th Russian Cosmic Ray Conference (2008, St.
Petersburg
Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations
Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expand PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS are 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1681-3651 cases and 8696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They are significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values < 0.05). Further inclusion of non-European ancestry populations, especially Black/African American and Latinx/Hispanic, is needed to improve the risk prediction and enhance equity in applying PRS in clinical practice
Modeling users for adaptive semantics visualizations
The automatic adaptation of information visualization systems to the requirements of users plays a key-role in today's research. Different approaches from both disciplines try to face this phenomenon. The modeling of user is an essential part of a user-centered adaptation of visualization. In this paper we introduce a new approach for modeling users especially for semantic visualization systems. The approach consists of a three dimensional model, where semantic data, user and visualization are set in relation in different abstraction layer
Social Tagging for Graphic Novels: A Content Analysis of Graphic Novel Collections in New Zealand Public Libraries
Research problem: The problem addressed in this research concerns the lack of metadata in public library catalogue records for graphic novels. Although social tagging by library users may help to mitigate this, what kinds of words users might apply as social tags cannot be known.
Methodology: Content analysis was undertaken to examine what social tags were applied to catalogue records for graphic novels from the Wellington City Libraries and Christchurch City Libraries, New Zealand. Based on previous research findings, categories such as topic, character, genre and setting, among others, were used as a basis for the themes of the content analysis. Records were examined, and the tags were coded at face using these categories.
Results: Although the amount of social tags in the records was extensive and provided depth of information, the tags seemed to fit into multiple categories. Topic, character, genre, tags related to awards and personal tags were the most frequently used, with foreign language terms also being common. Reflecting previous research, there was a high degree of polysemy, synonymy, hypernymy and heteronymny in the words used as tags, with the hypernymy providing an inherent structure to the tags.
Implications: Results may reflect the understanding and engagement users have with the items they are reading and because of this may make social tagging useful for other libraries