cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Reading men's lifestyle magazines in contemporary China
Creators: name: Lee, Tracy Kwok-Fong
Publisher: name: The Australian National University
Year: 2013
Subjects: subject: Men's magazines Social aspects China
subject: Masculinity China.
subject: Masculinity in mass media.
subject: Men IdentityChina
subject: Social change 21st century.China

description: Men's lifestyle magazines came to China at the turn of the 21st century, as a result of commercialization and the globalization of the media. They have prospered in the last decade along with the marked emergence of a new "middle class" in China and their pursuit and imagination of a consumerist lifestyle. Reflecting dynamic negotiation and hybridization between global and local discourses, the men's lifestyle magazine, as a form of popular culture, points to new possibilities of gender and sexuality in post-socialist China. In particular, targeting the newly-emerged social elite, these magazines construct and promote a new mode of masculinity that is characterized by hedonism, consumerism, and cosmopolitanism. The thesis aims at developing a framework for understanding men's lifestyle magazines in China by focusing on this new mode of manhood, which, as an aspirational model, represents a new development of Chinese masculinities that are significantly different from both the Confucian and Maoist discourses. At the centre of the discourse of consumerist masculinity is the pursuit of a lifestyle defined by pinwei or "good taste", which is rendered modern and Westernized by readers and is closely associated with a middle-class identity and fantasy. As an interdisciplinary study of men's magazines in China, the thesis synthesizes research methods of both media studies and gender studies. From the perspective of media studies, it investigates the ownership patterns of the magazines, i.e., local copyright ownership versus shared copyright ownership with established overseas magazines. Comparison has been made between the two types of magazines in terms of representations of lifestyle, masculinity and consumerism. Based on interviews and surveys with magazine editors and readers, the study empirically examines the production, reception and interpretation of these magazines and the male images constructed and promoted by them. By content analysis and critical readings of the verbal and visual texts, the study also compares Chinese editions of international titles such as FHM and Esquire with their "mother editions" in the West and probes into the localization of Western hegemonic masculinity in China. In addition, the distinctive "Chinese characteristics" of the magazines, namely elitism and nationalism, have been embedded in the social and ideological context of post-socialist China. In light of gender studies theory, the study interprets different types of spectatorship of the body in the magazines and examines the cultural habitus of the new "middle class" as desiring subjects.
Low Energy Dynamics of Monopoles in Supersymmetric Yang-Mills Theories with Hypermultiplets
Creators: name: Kim, Chanju
Publisher: name: arXiv
Year: 2006
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We derive the low energy dynamics of monopoles and dyons in N=2 supersymmetric Yang-Mills theories with hypermultiplets in arbitrary representations by utilizing a collective coordinate expansion. We consider the most general case that Higgs fields both in the vector multiplet and in the hypermultiplets have nonzero vacuum expectation values. The resulting theory is a supersymmetric quantum mechanics which has been obtained by a nontrivial dimensional reduction of two-dimensional (4,0) supersymmetric sigma models with potentials.
description: 17pages, LaTeX, minor changes, references added, version published in JHEP
Generation and Visualization of Relational Statistical Deformation Models for Morphological Image Analysis
Creators: name: Caban, Jesus J.
Publisher: name: Maryland Shared Open Access Repository
Year: 2009
Subjects: Medical Imaging
Shape Analysis
Statistical Models
Transfer functions
Visualization

description: As medical imaging datasets continue to grow, interest in effective ways to analyze the statistical properties and data variability within those datasets has surged. Accurate analysis and understanding of the morphological statistical properties of a group of images has proven to be extremely important in medical imaging. Since the detection of irregular anatomical deformations can increase the ability to identify particular diseases, a number of techniques to capture statistical anatomical properties have been proposed. Most recent research projects have focused on either statistical anatomical models or visualization systems as vital tools to assist physicians during the diagnosis process. However, innovation and research on statistical models and visualization should be combined to enable accurate analysis of the statistical properties of a group of images. This dissertation focuses on how those two components can be combined to enable flexible analysis of medical images and provide an understanding of anatomical differences, relationships, and variability. First, we address the problem of statistical analysis through a novel relational model. Relational Statistical Deformation Models, or RSDMs, are introduced as a generic modeling technique to capture the morphological statistical deformation properties of a collection of images. RSDMs take advantage of the information provided by individual deformation fields to build a robust graph-based statistical model which can be applied to multiple image analytics tasks. In general, the morphological framework can be described as a Markov Random Field model which combines a large constellation of probability density functions and uses energy minimization techniques to determine the best solution for different imaging tasks such as image classification and generation. RSDMs have proven to be valuable statistical models in the diagnosis, generation, denoising, and completion of medical imagery. In addition, RSDMs have proven to be effective in the automatic detection of subjects with Alzheimer's disease. Second, this dissertation advances the field of visualization by introducing four new illustration techniques to effectively summarize statistical deformation properties within a single image. The different illustration techniques can annotate the statistical information obtained from a large group of images into a single model, thus permitting easy exploration of anatomical differences and relationships. Each of the annotation techniques have been applied to synthetic and real-world medical images. In addition, an in-depth user study was conducted to better determine the advantages and limitations of each approach. Results show that morphological deformation properties are best discovered with statistical illustration techniques than by analyzing the set of images independently.
The role of the law in the rise and fall of piracy
Creators: name: Paige, Tamsin
Publisher: name: The Australian National University
Year: 2014
Subjects: subject: Piracy (International law)
subject: International criminal law
subject: Piracy Prevention Law and legislation
subject: Piracy Africa, East.

description: The criminal law that governs piracy has a rich history dating back to the Roman Empire, and was romanticised by the golden age of piracy during the 17th century in the Caribbean. This crime is now considered a jus cogens norm of international law with the specifics of the offence codified in UNCLOS. This thesis seeks to examine the role that law has played in the rise and fall of piracy throughout history and in modern times. The examination will take place in two case studies: the first case study comprises three sub-sections in which three historical periods instrumental in the shaping of the current laws that govern piracy are critically examined; the second case study will analyse the rise and fall of piracy off the coast of Somalia over the last decade and how the law has impacted this situation. The purpose of these case studies is to show the way in which the laws of piracy, while strong on paper are in essence hollow and ineffectual. The reason for this is that they were designed as a political safeguard rather than a genuine criminal sanction. As such they have been constantly undermined by selective enforcement for economic or political reasons. However, they have acted as enablers for peripheral, non-criminal legal instruments to be leveraged in a way that changes cultural and societal attitudes and approaches towards piracy. Through the leveraging of these peripheral instruments we have seen the successful suppression of piracy - historically and contemporarily.
Combining the advantages of superconducting MgB2 and CaC6 in one material: suggestions from first-principles calculations
Creators: name: Liu, Amy Y.
name: Mazin, I. I.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We show that a recently predicted layered phase of lithium monoboride, Li2B2, combines the key mechanism for strong electron-phonon coupling in MgB2 (i.e., interaction of covalent B sigma bands with B bond-stretching modes) with the dominant coupling mechanism in CaC6 (i.e., interaction of free-electron-like interlayer states with soft intercalant modes). Yet, surprisingly, the electron-phonon coupling in Li2B2 is calculated to be weaker than in either MgB2 or CaC6. We demonstrate that this is due to the accidental absence of B pi states at the Fermi level in Li2B2. In MgB2, the pi electrons play an indirect but important role in strengthening the coupling of sigma electrons. Doping Li2B2 to restore pi electrons at the Fermi level is expected to lead to a new superconductor that could surpass MgB2 in Tc.
First principles feasibility assessment of a topological insulator at the InAs/GaSb interface
Creators: name: Yang, Shuyang
name: Dardzinski, Derek
name: Hwang, Andrea
name: Pikulin, Dmitry I.
name: Winkler, Georg W.
name: Marom, Noa
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: First principles simulations are conducted to shed light on the question of whether a two-dimensional topological insulator (2DTI) phase may be obtained at the interface between InAs and GaSb. To this end, the InAs/GaSb interface is compared and contrasted with the HgTe/CdTe interface. Density functional theory (DFT) simulations of these interfaces are performed using a machine-learned Hubbard U correction [npj Comput. Mater. 6, 180 (2020)]. For the HgTe/CdTe interface our simulations show that band crossing is achieved and an inverted gap is obtained at a critical thickness of 5.1 nm of HgTe, in agreement with experiment and previous DFT calculations. In contrast, for InAs/GaSb the gap narrows with increasing thickness of InAs; however the gap does not close for interfaces with up to 50 layers (about 15 nm) of each material. When an external electric field is applied across the InAs/GaSb interface, the GaSb-derived valence band maximum is shifted up in energy with respect to the InAs-derived conduction band minimum until eventually the bands cross and an inverted gap opens. Our results show that it may be possible to reach the topological regime at the InAs/GaSb interface under the right conditions. However, it may be challenging to realize these conditions experimentally, which explains the difficulty of experimentally demonstrating an inverted gap in InAs/GaSb.
SI figure 3 from Combining single-molecule and expansion microscopy in fission yeast to visualize protein structures at the nanostructural level
Creators: name: Vojnovic, Ilijana
name: Caspari, Oliver D.
name: Hoşkan, Mehmet Ali
name: Endesfelder, Ulrike
Publisher: name: The Royal Society
Year: 2024
Subjects: classificationCode: 310112
subject: Structural biology (incl. macromolecular modelling)
classificationCode: 310199
subject: Biochemistry and cell biology not elsewhere classified
classificationCode: 310799
subject: Microbiology not elsewhere classified
classificationCode: 310803
subject: Plant cell and molecular biology
classificationCode: 310902
subject: Animal cell and molecular biology
classificationCode: 310908
subject: Animal physiology - biophysics
classificationCode: 320802
subject: Human biophysics

description: In this work, we have developed an expansion microscopy (ExM) protocol that combines ExM with photoactivated localization microscopy (ExPALM) for yeast cell imaging, and report a robust protocol for single-molecule and expansion microscopy of fission yeast, short SExY. Our optimized SExY protocol retains about 50% of the fluorescent protein signal, doubling the amount obtained compared to the original protein retention ExM (proExM) protocol. It allows for a fivefold, highly isotropic expansion of fission yeast cells, which we carefully controlled while optimizing protein yield. We demonstrate the SExY method on several exemplary molecular targets and explicitly introduce low-abundant protein targets, e.g. nuclear proteins such as cbp1 and mis16 and the centromere-specific histone protein cnp1. The SExY protocol optimizations increasing protein yield could be beneficial for many studies, i.e. when targeting low abundance proteins or studies that rely on genetic labelling for various reasons, e.g. for proteins that cannot be easily targeted by extrinsic staining or in case artefacts introduced by unspecific staining interfere with data quality.
Impact of Stellar Dynamics on the Frequency of Giant Planets in Close Binaries
Creators: name: Pfahl, Eric
name: Muterspaugh, Matthew
Publisher: name: arXiv
Year: 2006
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: Hostile tidal forces may inhibit the formation of Jovian planets in binaries with semimajor axes of $\la$$50\au$, binaries that might be called ``close'' in this context. As an alternative to in situ planet formation, a binary can acquire a giant planet when one of its original members is replaced in a dynamical interaction with another star that hosts a planet. Simple scaling relations for the structure and evolution of star clusters, coupled with analytic arguments regarding binary-single and binary-binary scattering, indicate that dynamical processes can deposit Jovian planets in $
description: 4 pages; Accepted by ApJ, minor changes from original
An exploration of the strengths and weaknesses of using text messaging as a tool for self-report data collection in psychological research
Creators: name: Walsh, Erin Ingrid
Publisher: name: The Australian National University
Year: 2018

description: Short Message Service (SMS) has immense potential for self-report data collection because it makes use of mobile phones that people already own, and allows researchers to communicate with participants regardless of physical location. Though interest in the possibilities of SMS as a tool for psychological research is slowly growing, to date, there has been no structured investigation of how this potential may be applied in psychological research. The research within this thesis examined the feasibility of using SMS as a tool for self-report psychological research, focussing on its strengths and weaknesses as a research mode. Across fifteen studies, this was investigated using a mixture of literature review, meta-analysis, surveys, and interviews. Participant samples varied from the broad (general population, university students) to specific (the elderly, the deaf). Strengths of SMS as a tool for self-report psychological research included growing interest in research community; positive perceptions of SMS as a research tool amongst potential sample; prompt responses and high response rate; suitability for frequent repeated sampling; and usefulness as a reminder prompt to support other modes of data collection. Weaknesses included a disconnect between stated willingness to participate and actual participation; response incompleteness; unsuitability for infrequent sampling; and some problems with psychometric equivalence in relation to other research modes like online or paper surveys. This was the first structured evaluation of SMS as a tool for self-report data collection in psychological research. Conclusions are limited by somewhat arbitrary design choices (such as the psychological topic within surveys) made in the absence of guiding background literature. Future research can refine these choices and use the logic presented here to guide further investigation into how SMS performs with more varied samples, different psychological topics, and as part of different research designs. This research has shown that while SMS has great potential as a tool for psychological self-report research, it has a number of weaknesses. Identifying these strengths and weaknesses, and some design choices which may mitigate the weaknesses, will open up possibilities for a wide range of future psychological research.
Immune Suppression: A Link Between Inflammation and Cancer
Creators: name: Bunt, Stephanie Kristin
Publisher: name: Maryland Shared Open Access Repository
Year: 2008
Subjects: Health Sciences, Immunology (0982)
Biology, General(0982)
Inflammation
Cancer
Immune Suppression
Interleukin 1beta
Myeloid-derived Suppressor Cells

description: Clinical and experimental evidence supports the concept that chronic inflammation contributes to cancer development and progression; however, the mechanisms underlying this relationship are poorly understood. Experimental observations suggest several inflammatory processes, critical for the inflammatory response, may promote malignant growth, such as the induction of DNA damage, the promotion of angiogenesis, and the production of growth and survival factors. Tumor progression is also accompanied by the accumulation of myeloid-derived suppressor cells (MDSC), which cause a global and profound immune suppression. I hypothesized that inflammation may support malignant growth through the induction and expansion of MDSC, thereby inhibiting immune surveillance and anti-tumor immunity, and facilitating malignant cell transformation and proliferation. To study the association between inflammation and immune suppression in the context of tumor progression, an inflammatory tumor microenvironment was created and modulated using: 1) 4T1 mammary carcinoma cells engineered to secrete the pro-inflammatory cytokine IL-1beta. 2) 4T1 cells engineered to secrete the pro-inflammatory cytokine IL-6, 3) IL-1R-deficient mice, which have a reduced potential for inflammation, 4) and IL-1Ra-deficient mice, which have an increased potential for inflammation. Chapter 1 introduces the inflammatory response and the link between inflammation and malignancy, focusing on key pro-inflammatory mediators and their roles in tumor progression. The results in Chapter 2 demonstrate that chronic inflammation promotes the induction and expansion of a more potent suppressive population of MDSC, thereby enhancing tumor growth and reducing survival. In Chapter 3, the results show that a reduction in inflammation significantly delays MDSC induction, leading to a reduction in both primary and metastatic tumor growth. The data in Chapter 4 demonstrate that chronic inflammation promotes and enhances potent type-2 immune responses by MDSC through a mechanism dependent on the Toll-like receptor 4 pathway. In summary, this thesis introduces a novel pathway linking inflammation and cancer, demonstrating that tumor progression in the context of chronic inflammation leads to a more rapid induction and expansion of MDSC, thereby inhibiting tumor immune surveillance mechanisms, resulting in enhanced malignant progression.
Miniscule representations, Gauss sum and modular invariance
Creators: name: Wu, Siye
Publisher: name: arXiv
Year: 2008
Subjects: subject: Representation Theory (math.RT)
subject: FOS: Mathematics
subject: 22E46; 11F03; 11L03

description: After explaining the concepts of Langlands dual and miniscule representations, we define an analog of the Gauss sum for any compact, simple Lie group with a simply laced Lie algebra. We then show a reciprocity property when a Lie group is exchanged with its Langlands dual. We also explore the relation with theta functions and modular transformations. In the non-simply laced case, we construct a unitary representation of the Hecke group which involves interesting new phase factors.
description: 12 pages, corrected version
Is solid copper oxalate a spin chain or a mixture of entangled spin pairs?
Creators: name: Pokhilko, Pavel
name: Bezrukov, Dmitry S.
name: Krylov, Anna I.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Macroscopic assemblies of interacting spins give rise to a broad spectrum of behaviors determined by the spatial arrangement of the magnetic sites and the electronic interactions between them. Compounds of copper (II), in which each copper carries spin $\frac{1}{2}$, exhibit a vast variety of physical properties. For antiferromagnetically coupled spin sites, there are two limiting scenarios: spin chains in which the spins can exhibit a long-range order or a mixture of dimers in which the spins within each pair are entangled but do not communicate with the spins from other dimers. In principle, the two types can be distinguished on the basis of experimental observations and modeling using empirically parameterized effective Hamiltonians, but in practice, ambiguity may persist for decades, as is the case for copper oxalate. Here we use high-level ab initio calculations to establish the validity of the nearest-site Heisenberg model and to predict the interaction strength between the magnetic sites. The computed magnetic susceptibility provides an unambiguous interpretation of magnetic experiments performed throughout half a century, clearly supporting the infinite spin-chain behavior of solid copper oxalate.
Functional Connectivity of the motor cortex: Test-Retest Reliability
Creators: name: Shah, Neha
Publisher: name: Maryland Shared Open Access Repository
Year: 2008
Subjects: Engineering, Biomedical (0541)

description: Studies involving functional connectivity of the brain are of growing interest due to its significance in understanding the underlying mechanisms of the resting brain and also its potential for clinical applications. This work involves examining the spatial consistency of functional connectivity within the primary motor cortex of the resting brain within and across sessions using test-retest methodology. Seven subjects underwent three resting state scans in each of three separate sessions for a total of nine resting state scans.  In each of the sessions a functional MRI involving the motor cortex was also obtained. A generalized linear model (GLM) was used to extract voxels that were significantly correlated with the task from the functional MRI scan. The most strongly correlated voxels were used as seed voxels to generate functional connectivity maps from the resting state scans using GLM analysis. We evaluated the spatial consistency of the functional connectivity maps in the motor cortex both within and across sessions using reproducibility indices. We also assessed the effect of physiological noise on the reproducibility of these indices by detecting and filtering the physiological noise using two methods: spatial ICA and an established method called RETROICOR. Results indicate that the resting state network, at least in the case of the motor cortex, is quite reliable both within and across sessions. Further, from our results it appears that the reliability of these networks is not influenced by the physiological noise.
Using Available Volume to Predict Fluid Diffusivity in Random Media
Creators: name: Mittal, Jeetain
name: Errington, Jeffrey R.
name: Truskett, Thomas M.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We propose a simple equation for predicting self-diffusivity of fluids embedded in random matrices of identical, but dynamically frozen, particles (i.e., quenched-annealed systems). The only nontrivial input is the volume available to mobile particles, which also can be predicted for two common matrix types that reflect equilibrium and non-equilibrium fluid structures. The proposed equation can account for the large differences in mobility exhibited by quenched-annealed systems with indistinguishable static pair correlations, illustrating the key role that available volume plays in transport.
description: to appear in Physical Review E (12 pages, 4 figures)
Turbo Decoding on the Binary Erasure Channel: Finite-Length Analysis and Turbo Stopping Sets
Creators: name: Rosnes, Eirik
name: Ytrehus, Øyvind
Publisher: name: arXiv
Year: 2006
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: This paper is devoted to the finite-length analysis of turbo decoding over the binary erasure channel (BEC). The performance of iterative belief-propagation (BP) decoding of low-density parity-check (LDPC) codes over the BEC can be characterized in terms of stopping sets. We describe turbo decoding on the BEC which is simpler than turbo decoding on other channels. We then adapt the concept of stopping sets to turbo decoding and state an exact condition for decoding failure. Apply turbo decoding until the transmitted codeword has been recovered, or the decoder fails to progress further. Then the set of erased positions that will remain when the decoder stops is equal to the unique maximum-size turbo stopping set which is also a subset of the set of erased positions. Furthermore, we present some improvements of the basic turbo decoding algorithm on the BEC. The proposed improved turbo decoding algorithm has substantially better error performance as illustrated by the given simulation results. Finally, we give an expression for the turbo stopping set size enumerating function under the uniform interleaver assumption, and an efficient enumeration algorithm of small-size turbo stopping sets for a particular interleaver. The solution is based on the algorithm proposed by Garello et al. in 2001 to compute an exhaustive list of all low-weight codewords in a turbo code.
description: 28 pages, 5 figures, submitted to IEEE Transactions on Information Theory
SI figure 1 from Combining single-molecule and expansion microscopy in fission yeast to visualize protein structures at the nanostructural level
Creators: name: Vojnovic, Ilijana
name: Caspari, Oliver D.
name: Hoşkan, Mehmet Ali
name: Endesfelder, Ulrike
Publisher: name: The Royal Society
Year: 2024
Subjects: classificationCode: 310112
subject: Structural biology (incl. macromolecular modelling)
classificationCode: 310199
subject: Biochemistry and cell biology not elsewhere classified
classificationCode: 310799
subject: Microbiology not elsewhere classified
classificationCode: 310803
subject: Plant cell and molecular biology
classificationCode: 310902
subject: Animal cell and molecular biology
classificationCode: 310908
subject: Animal physiology - biophysics
classificationCode: 320802
subject: Human biophysics

description: In this work, we have developed an expansion microscopy (ExM) protocol that combines ExM with photoactivated localization microscopy (ExPALM) for yeast cell imaging, and report a robust protocol for single-molecule and expansion microscopy of fission yeast, short SExY. Our optimized SExY protocol retains about 50% of the fluorescent protein signal, doubling the amount obtained compared to the original protein retention ExM (proExM) protocol. It allows for a fivefold, highly isotropic expansion of fission yeast cells, which we carefully controlled while optimizing protein yield. We demonstrate the SExY method on several exemplary molecular targets and explicitly introduce low-abundant protein targets, e.g. nuclear proteins such as cbp1 and mis16 and the centromere-specific histone protein cnp1. The SExY protocol optimizations increasing protein yield could be beneficial for many studies, i.e. when targeting low abundance proteins or studies that rely on genetic labelling for various reasons, e.g. for proteins that cannot be easily targeted by extrinsic staining or in case artefacts introduced by unspecific staining interfere with data quality.
Modeling multivariable time series using regular and singular autoregressions
Creators: name: Zamani, Mohsen
Publisher: name: The Australian National University
Year: 2018
Subjects: subject: Autoregression (Statistics) Mathematical models
subject: Time-series analysis Mathematical models
subject: Econometrics Mathematical models

description: The primary aim of this thesis is to study the modeling of high-dimensional time series with periodic missing observations. This study is very important in different branches of science and technology such as: econometric modeling, signal processing and systems and control. For instance, in the field of econometric modeling, it is crucial to provide proper models for national economies to help policy makers with decision making and policy adjustments. These models are built upon available high-dimensional data sets, which are not usually collected at the same rate. For example, some data such as, the employment rate are available on a monthly basis while some others like the gross domestic product (GDP) are collected quarterly. Motivated by applications in econometric modeling, we mainly consider systems, which have two sets of measurement streams, one stream being available at all times and the other one is observed every N-th time. There are two major issues involved with modeling of high-dimensional time series with periodic missing observations, namely, the curse of dimensionality and missing observations. Generalized dynamic factor models (GDFMs), which have been recently introduced in the field of econometric modeling, are exploited to handle the curse of dimensionality phenomenon. Furthermore, the blocking technique from systems and control is used to tackle issues associated with the missing observations. In this thesis, we consider a class of GDFMs and assume that there exists an underlying linear time-invariant system operating at the highest sample rate and our task is to identify this model from the available mixed frequency measurements. To this end, we first provide a very detailed study about zeros of linear systems with alternate missing measurements. Zeros of this class of linear systems are examined when the parameter matrices of a minimal state space representation of a transfer function matrix corresponding to the underlying high frequency system assume generic values. Under this setting, we then illustrate situations under which linear systems with missing observations are completely zero-free. It is worthwhile noting that the obtained condition is very common in an econometric modeling context. Then we apply this result and assume that the underlying high frequency system has an autoregressive (AR) structure. Next, we study identifiability of AR systems from those population second order moments, which can be observed in principle. We propose the method of modified extended Yule-Walker equations to show that the set of identifiable AR systems is an open and dense subset of the associated parameter space i.e. AR systems are generically identifiable.
A Generalization of Spatial Monte Carlo Integration
Creators: name: Yasuda, Muneki
name: Uchizawa, Kei
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (stat.ML)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Spatial Monte Carlo integration (SMCI) is an extension of standard Monte Carlo integration and can approximate expectations on Markov random fields with high accuracy. SMCI was applied to pairwise Boltzmann machine (PBM) learning, with superior results to those from some existing methods. The approximation level of SMCI can be changed, and it was proved that a higher-order approximation of SMCI is statistically more accurate than a lower-order approximation. However, SMCI as proposed in the previous studies suffers from a limitation that prevents the application of a higher-order method to dense systems. This study makes two different contributions as follows. A generalization of SMCI (called generalized SMCI (GSMCI)) is proposed, which allows relaxation of the above-mentioned limitation; moreover, a statistical accuracy bound of GSMCI is proved. This is the first contribution of this study. A new PBM learning method based on SMCI is proposed, which is obtained by combining SMCI and the persistent contrastive divergence. The proposed learning method greatly improves the accuracy of learning. This is the second contribution of this study.
Geotagging for the Blogosphere
Creators: name: Radke, Mansi
Publisher: name: Maryland Shared Open Access Repository
Year: 2008
Subjects: Computer Science (0984)

description: The increasing dependence of daily human life on internet has greatly  increased the importance of capturing geographical information on the web,  due to the ground fact that most human activities occur locally. Hence,  geographical information retrieval has gained lot of importance these  days. Also today blogs have become a means for people to express their  thoughts, actions, and their reactions. Various techniques have been  proposed for geotagging documents based on their content by identifying  placenames, disambiguating them and then finding the geographical focus of  the document. In this thesis we propose a technique for geotagging blogs  without disambiguating the placenames individually. Geotagging the blogs  would improve the precision and recall of the Geo-IR systems since it  would help to extract more relevant documents with the added information  about the target geography of the blog.
Synchrotron flaring in the jet of 3C 279
Creators: name: Lindfors, E. J.
name: Türler, M.
name: Valtaoja, E.
name: Aller, H.
name: Aller, M.
name: Mazin, D.
name: Raiteri, C. M.
name: Stevens, J. A.
name: Tornikoski, M.
name: Tosti, G.
name: Villata, M.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We study the synchrotron flaring behaviour of the blazar 3C279 based on an extensive dataset covering 10 years of monitoring at 19 different frequencies in the radio-to-optical range. The properties of a typical outburst are derived from the observations by decomposing the 19 lightcurves into a series of self-similar events. This analysis is achieved by fitting all data simultaneously to a succession of outbursts defined according to the shock-in-jet model of Marscher & Gear (1985). We compare the derived properties of the synchrotron outbursts in 3C279 to those obtained with a similar method for the quasar 3C273. It is argued that differences in the flaring behaviour of these two sources are intrinsic to the sources themselves rather than being due to orientation effects. We also compare the start times and flux densities of our modelled outbursts with those measured from radio components identified in Very Long Baseline Interferometry (VLBI) images. We find VLBI counterparts for most of our model outbursts, although some high-frequency peaking events are not seen in the radio maps. Finally, we study the link between the appearance of a new synchrotron component and the EGRET gamma-ray state of the source at 10 different epochs. We find that an early-stage shock component is always present during high gamma-ray states, while in low gamma-ray states the time since the onset of the last synchrotron outburst is significantly longer. This statistically significant correlation supports the idea that gamma-ray flares are associated with the early stages of shock components propagating in the jet. We note, however, that the shock wave is already beyond the broad line region during the gamma-ray flaring.
description: 10 pages, 5 figures, accepted for publication in A&A
SI figure 4 from Combining single-molecule and expansion microscopy in fission yeast to visualize protein structures at the nanostructural level
Creators: name: Vojnovic, Ilijana
name: Caspari, Oliver D.
name: Hoşkan, Mehmet Ali
name: Endesfelder, Ulrike
Publisher: name: The Royal Society
Year: 2024
Subjects: classificationCode: 310112
subject: Structural biology (incl. macromolecular modelling)
classificationCode: 310199
subject: Biochemistry and cell biology not elsewhere classified
classificationCode: 310799
subject: Microbiology not elsewhere classified
classificationCode: 310803
subject: Plant cell and molecular biology
classificationCode: 310902
subject: Animal cell and molecular biology
classificationCode: 310908
subject: Animal physiology - biophysics
classificationCode: 320802
subject: Human biophysics

description: In this work, we have developed an expansion microscopy (ExM) protocol that combines ExM with photoactivated localization microscopy (ExPALM) for yeast cell imaging, and report a robust protocol for single-molecule and expansion microscopy of fission yeast, short SExY. Our optimized SExY protocol retains about 50% of the fluorescent protein signal, doubling the amount obtained compared to the original protein retention ExM (proExM) protocol. It allows for a fivefold, highly isotropic expansion of fission yeast cells, which we carefully controlled while optimizing protein yield. We demonstrate the SExY method on several exemplary molecular targets and explicitly introduce low-abundant protein targets, e.g. nuclear proteins such as cbp1 and mis16 and the centromere-specific histone protein cnp1. The SExY protocol optimizations increasing protein yield could be beneficial for many studies, i.e. when targeting low abundance proteins or studies that rely on genetic labelling for various reasons, e.g. for proteins that cannot be easily targeted by extrinsic staining or in case artefacts introduced by unspecific staining interfere with data quality.
Convolutional neural network for self-mixing interferometric displacement sensing
Creators: name: Barland, Stéphane
name: Gustave, François
Publisher: name: arXiv
Year: 2021
Subjects: subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Self mixing interferometry is a well established interferometric measurement technique. In spite of the robustness and simplicity of the concept, interpreting the self-mixing signal is often complicated in practice, which is detrimental to measurement availability. Here we discuss the use of a convolutional neural network to reconstruct the displacement of a target from the self mixing signal in a semiconductor laser. The network, once trained on periodic displacement patterns, can reconstruct arbitrarily complex displacement in different alignment conditions and setups. The approach validated here is amenable to generalization to modulated schemes or even to totally different self mixing sensing tasks.
Invariant Killing spinors in 11D and type II supergravities
Creators: name: Gran, U.
name: Gutowski, J.
name: Papadopoulos, G.
Publisher: name: arXiv
Year: 2008
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We present all isotropy groups and associated $Σ$ groups, up to discrete identifications of the component connected to the identity, of spinors of eleven-dimensional and type II supergravities. The $Σ$ groups are products of a Spin group and an R-symmetry group of a suitable lower dimensional supergravity theory. Using the case of SU(4)-invariant spinors as a paradigm, we demonstrate that the $Σ$ groups, and so the R-symmetry groups of lower-dimensional supergravity theories arising from compactifications, have disconnected components. These lead to discrete symmetry groups reminiscent of R-parity. We examine the role of disconnected components of the $Σ$ groups in the choice of Killing spinor representatives and in the context of compactifications.
description: 22 pages, typos corrected
Analysis of gender differences in art education : rates of participation and academic achievement in international baccalaureate art and design education
Creators: name: Imms, Wesley David
Publisher: name: University of British Columbia
Year: 2009

description: The purpose of this study was to determine if gender differences existed in rates of participation and academic achievement in art education. Parametric and non-parametric statistical analyses were conducted on data representing the final art grades of 2,231 students from 59 countries, assessed by the International Baccalaureate Organization during the 1995/96 school year. Statistically significant results indicated that rates of academic achievement, rates of participation, and choices of syllabus were gender-oriented in this population. Boys, in comparison with girls, were found to be less likely to undertake art, to choose less academically oriented syllabuses and to be out-performed academically in art. It was concluded that boys displayed a lassitude towards art education that was consistent with a more generalized educational trend, currently the focus of neo-masculinist discussion. Implications of the findings of this study were discussed in reference to boys' level of visual literacy, the relevancy of art curriculum to boys' specific educational needs, the extent of a "feminine" stereotype of art, and factors within art education which impact on how boys determine "masculinity". Implementation of "relational" research was urged to investigate the impact of art education on boys' formation of concepts of masculinity, and the potential role of art education in neo-masculinist discussion currently exploring theories of multiple masculinities.
QCD thermodynamics with $N_f=2+1$ near the continuum limit at realistic quark masses
Creators: name: Umeda, Takashi
Publisher: name: arXiv
Year: 2006
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We report on our study of QCD thermodynamics with 2+1 flavors of dynamical quarks. In this proceeding we present several thermodynamic quantities and our recent calculation of the critical temperature. In order to investigate the thermodynamic properties of QCD near the continuum limit we adopt improved staggered (p4) quarks coupled with tree-level Symanzik improved glue on $N_t=4$ and 6 lattices. The simulations are performed with a physical value of the strange quark mass and light quark masses which are in the range of $m_q/m_s=0.05-0.4$. The lightest quark mass corresponds to a pion mass of about 150 MeV.
description: 7pages, 5figures, talk presented at Lattice 2006 (high temperature and density)
SI figure 2 from Combining single-molecule and expansion microscopy in fission yeast to visualize protein structures at the nanostructural level
Creators: name: Vojnovic, Ilijana
name: Caspari, Oliver D.
name: Hoşkan, Mehmet Ali
name: Endesfelder, Ulrike
Publisher: name: The Royal Society
Year: 2024
Subjects: classificationCode: 310112
subject: Structural biology (incl. macromolecular modelling)
classificationCode: 310199
subject: Biochemistry and cell biology not elsewhere classified
classificationCode: 310799
subject: Microbiology not elsewhere classified
classificationCode: 310803
subject: Plant cell and molecular biology
classificationCode: 310902
subject: Animal cell and molecular biology
classificationCode: 310908
subject: Animal physiology - biophysics
classificationCode: 320802
subject: Human biophysics

description: In this work, we have developed an expansion microscopy (ExM) protocol that combines ExM with photoactivated localization microscopy (ExPALM) for yeast cell imaging, and report a robust protocol for single-molecule and expansion microscopy of fission yeast, short SExY. Our optimized SExY protocol retains about 50% of the fluorescent protein signal, doubling the amount obtained compared to the original protein retention ExM (proExM) protocol. It allows for a fivefold, highly isotropic expansion of fission yeast cells, which we carefully controlled while optimizing protein yield. We demonstrate the SExY method on several exemplary molecular targets and explicitly introduce low-abundant protein targets, e.g. nuclear proteins such as cbp1 and mis16 and the centromere-specific histone protein cnp1. The SExY protocol optimizations increasing protein yield could be beneficial for many studies, i.e. when targeting low abundance proteins or studies that rely on genetic labelling for various reasons, e.g. for proteins that cannot be easily targeted by extrinsic staining or in case artefacts introduced by unspecific staining interfere with data quality.
Letter from Colin C. MacRae to the Rainbow Ranche, September 22, 1909
Creators: name: MacRae, Colin C.
Publisher: name: The University of British Columbia
Year: 2017

description: Letter to the Rainbow Ranche from Colin C, MacRae, manager of the Royal Bank of Canada Vernon B.C. branch, dated September 22, 1909, regarding the payment of cheques and overdrawing of an account.
Fluid pulsation modes from strange stars in a higher-dimensional space-time
Creators: name: Arbañil, José D. V.
name: Lenzi, César H.
name: Malheiro, Manuel
Publisher: name: arXiv
Year: 2020
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences
subject: 83C05, 83C35

description: In this work, we make the first step to derive non-radial pulsation equations in extra dimensions and investigate how the $f$- and $p_1$-mode frequencies of strange quark stars, within the Cowling approximation, change with the number of dimensions. In this regard, the study is performed by solving numerically the non-radial pulsation equations, adjusted for a $d$-dimensional space-time $(d\geq4)$. We connect the interior to a Schwarzschild-Tangherlini exterior metric and analyze the $f$- and $p_1$- mode frequencies. We found that the frequencies could become higher than those found in four-dimensional space-time. The $f$-mode frequency is essentially constant and only for large gravitational radius values grows monotonically and fast with the gravitational radius. In a gravitational radius range, where $f$-mode frequencies are constant, they increase for space-time dimensions $4\leq d\leq6$ and decrease for $d\geq7$. Regarding $p_1$-mode frequencies they are always larger for higher dimensions and decay monotonically with the increase of the gravitational radius. In extra dimensions, as it happens for four-dimensional space-time, we found $p_1$-mode frequencies are always larger than the $f$-modes ones. In the Newtonian gravity, for a homogeneous star in $d$ dimensions, we observe that the $f$-mode eigenfrequencies are constant and given by the relation $ω^2=l\, M\, G_d/R^{d-1}$; where $l$ represents the spherical harmonic index, $M\,G_d$ being the total star mass and $R$ the stellar radius.
description: 12 pages, 5 figures
D2.1 Report on 6G-SENSES use cases, network architecture, KPIs and supported RAN functions
Creators: name: Jesús, Gutiérrez Terán
Publisher: name: Zenodo
Year: 2024
Subjects: subject: 5G

description: 6G-SENSES designs and develops a next generation wireless infrastructure aiming to achieve advanced performance towards the IMT- 2030 vision and KPIs, outperforming the current network implementations and to progress research towards fully perceptive networks. To this end, research is focused on integrating CF networks, RIS infrastructures, as well as ISAC, using as baseline beyond SotA O-RAN and 3GPP specifications for the 5G protocol stack, and developing a sensing and a network intelligence plane spanning across network segments. The technical enablers of the proposed 6G-SENSES solutions centre around two main axes: 1) Access Network Performance and Sensing, and 2) Network Intelligence.