cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Adaptive estimation with partially overlapping models
Creators: name: Liu, Yufeng
name: Shin, Sunyoung
name: Fine, Jason
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2017

description: In many problems, one has several models of interest that capture key parameters describing the distribution of the data. Partially overlapping models are taken as models in which at least one covariate effect is common to the models. A priori knowledge of such structure enables efficient estimation of all model parameters. However, in practice, this structure may be unknown. We propose adaptive composite M-estimation (ACME) for partially overlapping models using a composite loss function, which is a linear combination of loss functions defining the individual models. Penalization is applied to pairwise differences of parameters across models, resulting in data driven identification of the overlap structure. Further penalization is imposed on the individual parameters, enabling sparse estimation in the regression setting. The recovery of the overlap structure enables more efficient parameter estimation. An oracle result is established. Simulation studies illustrate the advantages of ACME over existing methods that fit individual models separately or make strong a priori assumption about the overlap structure.
title: ‘What`s in a name?’ Assessing dynamic tension between Critical Theory ambitions and Neoliberal pragmatism in Higher Education Disability service provision
Creators: name: Fovet, Frédéric
name: Giles, Jessica
Publisher: name: International Studies in Widening Participation
Year: 2015
Subjects: Disability
Post-secondary education

description: This work is licensed under a Creative Commons Attribution 3.0 License.
description: The study examines the experience of a Higher Education Disability service provider as it battles the conflicting imperatives symbolised by a proposed name change for the service. One of the key dilemmas involved in the reflection of the practitioners involved is whether or not to include the word ‘Disability’ in the designation and the branding of the unit. Beyond the reflection of the name change itself, the data collected by the unit reveals the wider coexistence, within practices of service provision, of two distinct sets of values and imperatives. The paper analyses the thought process which took place on this campus for several months in 2013 and argues that what transpires in the analysis of the qualitative data surrounding this episode, is the growing dynamic interaction between a Critical Theory heritage and increasingly present Neoliberal imperatives. The outcomes section examines how this tension might be addressed in the future by Disability service providers but also campuses at large.
Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach
Creators: name: Liang, Yuebing
name: Huang, Guan
name: Zhao, Zhan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Dynamic demand prediction is crucial for the efficient operation and management of urban transportation systems. Extensive research has been conducted on single-mode demand prediction, ignoring the fact that the demands for different transportation modes can be correlated with each other. Despite some recent efforts, existing approaches to multimodal demand prediction are generally not flexible enough to account for multiplex networks with diverse spatial units and heterogeneous spatiotemporal correlations across different modes. To tackle these issues, this study proposes a multi-relational spatiotemporal graph neural network (ST-MRGNN) for multimodal demand prediction. Specifically, the spatial dependencies across modes are encoded with multiple intra- and inter-modal relation graphs. A multi-relational graph neural network (MRGNN) is introduced to capture cross-mode heterogeneous spatial dependencies, consisting of generalized graph convolution networks to learn the message passing mechanisms within relation graphs and an attention-based aggregation module to summarize different relations. We further integrate MRGNNs with temporal gated convolution layers to jointly model heterogeneous spatiotemporal correlations. Extensive experiments are conducted using real-world subway and ride-hailing datasets from New York City, and the results verify the improved performance of our proposed approach over existing methods across modes. The improvement is particularly large for demand-sparse locations. Further analysis of the attention mechanisms of ST-MRGNN also demonstrates its good interpretability for understanding cross-mode interactions.
Heavy Wilson Quarks and O($a$) Improvement: Nonperturbative Results for $b_{\rm g}$
Creators: name: Brida, Mattia Dalla
name: Höllwieser, Roman
name: Knechtli, Francesco
name: Korzec, Tomasz
name: Sint, Stefan
name: Sommer, Rainer
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: With Wilson quarks, on-shell O($a$) improvement of the lattice QCD action is achieved by including the Sheikholeslami-Wohlert term and two further operators of mass dimension 5, which amount to a mass-dependent rescaling of the bare parameters. We here focus on the rescaled bare coupling, $\tilde{g}_0^2 = g_0^2(1 + b_{\rm g} am_{\rm q})$, and the determination of $b_{\rm g}(g_0^2)$, which is currently only known to 1-loop order of perturbation theory. We derive suitable improvement conditions in the chiral limit and in a finite space-time volume and evaluate these for different gluonic observables, both with and without the gradient flow. The choice of $β$-values and the line of constant physics are motivated by the ALPHA collaboration's decoupling strategy to determine $α_s(m_Z)$. However, the improvement conditions and some insight into systematic effects may prove useful in other contexts, too.
description: 26 pages, 5 figures. Included additional references and fixed some typos. Matches published version
title: Reflections on school engagement: An eco-systemic review of the Cree School Board’s experience
Creators: name: Visser, John
name: Fovet, Frédéric
Publisher: name: In Education
Year: 2014
Subjects: Native language and education
Social, Emotional, and Behavioural Difficulties

description: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
description: 25 years represents one of the first occurrences worldwide of a society having globally acknowledged that a curriculum, as a whole, did not necessarily fit a specific group, rather than the individuals not performing within a curriculum. As such, this represents a characteristically eco-systemic experiment where a move has been made from the simple—and not-so-unusual observation of poor school performance from a community as a whole—to the conclusion that a curriculum was poorly matched to the group it was set to serve. This assessment has led most notably to the adoption of Cree as the language of instruction in order to increase performance. Statistics for the Cree School Board (CSB), however, are not showing convincing signs of improvement and Cree parents appear increasingly divided in their assessment of how the curriculum now serves their children. The purpose of this article is to throw some light on factors that may explain the difficulties Cree students are facing within school in its present format. The highly topical aspect of this assessment and review is that the characteristics that supposedly make some Cree children difficult to teach in a Western style classroom are attributes often assimilated to children with Social, Emotional, and Behavioural Difficulties (SEBD) in mainstream schools: restlessness, inability to stay indoors, short attention span, rejection of classroom etiquette, and rules. The study suggest that, far from being distinct and dependent on variables that are unique, outcomes such as those recorded in Cree schools, highlight challenges in student engagement encountered by many school environments in the 21st century, particularly inner city schools.
A prototype of quantum von Neumann architecture
Creators: name: Wang, D. -S.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Computational Complexity (cs.CC)
subject: Information Theory (cs.IT)
subject: Systems and Control (eess.SY)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: A modern computer system, based on the von Neumann architecture, is a complicated system with several interactive modular parts. Quantum computing, as the most generic usage of quantum information, follows a hybrid architecture so far, namely, quantum algorithms are stored and controlled classically, and mainly the executions of them are quantum, leading to the so-called quantum processing units. Such a quantum-classical hybrid is constrained by its classical ingredients, and cannot reveal the computational power of a fully quantum computer system as conceived from the beginning of the field. Recently, the nature of quantum information has been further recognized, such as the no-programming and no-control theorems, and the unifying understandings of quantum algorithms and computing models. As a result, in this work we propose a model of universal quantum computer system, the quantum version of the von Neumann architecture. It uses ebits (i.e., Bell states) as elements of the quantum memory unit, and qubits as elements of the quantum control unit and processing unit. As a digital quantum system, its global configurations can be viewed as tensor-network states. Its universality is proved by the capability to execute quantum algorithms based on a program composition scheme via a universal quantum gate teleportation. It is also protected by the uncertainty principle, the fundamental law of quantum information, making it quantum-secure distinct from the classical case. In particular, we introduce a few variants of quantum circuits, including the tailed, nested, and topological ones, to characterize the roles of quantum memory and control, which could also be of independent interest in other contexts. In all, our primary study demonstrates the manifold power of quantum information and paves the way for the creation of quantum computer systems in the near future.
description: Minor changes, please also refer to the published version
Importance of coupling strength in shaping electron energy loss and phonon spectra of phonon-plasmon systems
Creators: name: Krsnik, J.
name: Barišić, O. S.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: A systematic analysis of phonon-plasmon coupled excitations in three-dimensional (3D) polar systems is provided through the prism of both raw and integrated electron energy loss spectroscopy (EELS) and phonon spectra in the whole relevant parametric space, spanned by the adiabaticity parameter and the electron-phonon interaction (EPI) strength. We show that the EPI strength plays a prominent role in distributing spectral weights among excitations, providing an experimentally convenient way to estimate it from integrated spectra. By projecting the excitations onto the phonon degree of freedom, we also report for strong couplings large phonon production contributions, which are of very different origins depending on the adiabaticity parameter. In parallel to this thorough spectral weights analysis, excitations' dispersion evolutions, dampings, and various limiting behaviors are qualitatively and quantitatively correctly accounted for in the whole parametric space.
description: 11+3 pages, 5 figures
The statistics and mathematics of high dimension low sample size asymptotics
Creators: name: Shen, Dan
name: Zhu, Hongtu
name: Shen, Haipeng
name: Marron,
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2017

description: The aim of this paper is to establish several deep theoretical properties of principal component analysis for multiple-component spike covariance models. Our new results reveal an asymptotic conical structure in critical sample eigendirections under the spike models with distinguishable (or indistinguishable) eigenvalues, when the sample size and/or the number of variables (or dimension) tend to infinity. The consistency of the sample eigenvectors relative to their population counterparts is determined by the ratio between the dimension and the product of the sample size with the spike size. When this ratio converges to a nonzero constant, the sample eigenvector converges to a cone, with a certain angle to its corresponding population eigenvector. In the High Dimension, Low Sample Size case, the angle between the sample eigenvector and its population counterpart converges to a limiting distribution. Several generalizations of the multi-spike covariance models are also explored, and additional theoretical results are presented.
Off-Shell Color-Kinematics Duality for Chern-Simons
Creators: name: Ben-Shahar, Maor
name: Johansson, Henrik
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: Many gauge theories possess a hidden duality between color and kinematics in their on-shell scattering amplitudes. An open problem is to formulate an off-shell realization of the duality, thus manifesting a kinematic algebra. We show that 3D Chern-Simons (CS) theory in Lorenz gauge obeys off-shell color-kinematics duality. This holds both for the gauge field and the BRST ghosts, and the duality is manifest in the Feynman rules. A kinematic algebra can be formulated through a second-order differential operator (Poisson bracket) acting on the off-shell fields, and it corresponds to 3D volume-preserving diffeomorphisms, generated by functions in Lorenz gauge. We consider several admissible double-copy constructions of CS theory with Yang-Mills theory, a higher-derivative (DF)^2 gauge theory, or CS theory itself. To obtain non-vanishing amplitudes, we deform pure CS theory by including the maximum amount of adjoint matter that respects the on-shell duality. This gives a new formulation of an N=4 CS-matter theory, with fields of unusual statistics. We argue that the color-stripped tree amplitudes of this theory are equivalent to those of the Gaiotto-Witten N=4 CS theory with bi-fundamental matter. We further show that the double copy of the N=4 CS theory with itself corresponds to maximally supersymmetric N=8 Dirac-Born-Infeld theory.
description: 29 pages plus refs. v2: minor corrections on diffeomorphisms, references added. v3: published version
title: Access, universal design and the sustainability of teaching practices: A powerful synchronicity of concepts at a crucial conjuncture for higher education
Creators: name: Fovet, Frederic
Publisher: name: Indonesian Journal of Disability Studies
Year: 2017
Subjects: Universal Design for Learning
Sustainability

description: This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
description: Sustainability in Higher Education is usually interpreted as a concept applying solely to operations management and energy policy. Though the applicability of the concept to social justice is immediately tangible, few campuses have found organic and pragmatic ways to extend principles of sustainability to their equity, diversity or inclusion practices, or to convince their community of the need to do so. This study examines the unique experience of North American campus having attempted this progressive osmosis between the two concepts. Access has represented the opportunity for this rethink. As individual, retroactive accommodations become increasingly obsolete when it comes to providing access to learning to large number of students with specific needs entering post-secondary education, sustainability has become an increasingly appealing lens with which to devise a new framework for inclusion seeking systemic change in pedagogical practices. The North American campus in question implemented a proactive drive for the implementation of Universal Design for Learning from 2011 and this paper presents the analysis of the various and complex ways access and sustainability have become entwined in campus policies. The outcomes are particularly relevant for the Global South in that it may encourage Higher Education institutions in developing countries to avoid the temporary appeal of medical model based measures of inclusion and the precedents set in the Global North over the last two decades, and to focus instead on social model based policies that seek the development of sustainable and inclusive teaching practices from the onset.
title: Exploring the student voice within Universal Design for Learning work
Creators: name: Fovet, Frédéric
Publisher: name: Ahead Journal
Year: 2018
Subjects: Universal Design for Learning
Post-secondary education

description: This article is openly available at https://www.ahead.ie/journal/Exploring-the-Student-Voice-within-Universal-Design-for-Learning-Work.
description: One of the reasons that makes Universal Design for Learning (UDL) particularly appealing to the post-secondary sector is the fact that it is entirely focused on the design reflection of the instructor, and does not require diagnostic information about individual students (Gradel & Edson, 2009). Unlike differentiation which normally unfolds when a teacher is faced with the specific needs of learners in their class, the reflection around UDL can occur in the abstract, before an instructor ever meets a class (Novak Educational Consultancy, 2018). This is enormously freeing, and particularly congenial to the post-secondary sector where lecturers may never have the opportunity over the course of a semester to uncover their students’ diversity. Instead, one can hypothesize about barriers and remove proactively with the use of inclusive design (Rose, Harbour, Johnston, Daley & Abarbanell, 2006). This, however, also creates a significant danger: the possibility that UDL now becomes conceptualized with no consideration for the student voice. This paper will examine three dimensions which make the learner voice essential in the UDL process. It is a call to action, which encourages UDL advocates to carefully consider re-centering UDL implementation in higher education (HE) on the student voice. It is indeed crucial that it does not lose an essential part of its flavour and intentions, by dismissing an essential stakeholder.
Composite large margin classifiers with latent subclasses for heterogeneous biomedical data: Composite Large Margin Classifiers with Latent Subclasses
Creators: name: Kosorok, Michael R.
name: Liu, Yufeng
name: Shen, Dinggang
name: Chen, Guanhua
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2016

description: High dimensional classification problems are prevalent in a wide range of modern scientific applications. Despite a large number of candidate classification techniques available to use, practitioners often face a dilemma of choosing between linear and general nonlinear classifiers. Specifically, simple linear classifiers have good interpretability, but may have limitations in handling data with complex structures. In contrast, general nonlinear classifiers are more flexible, but may lose interpretability and have higher tendency for overfitting. In this paper, we consider data with potential latent subgroups in the classes of interest. We propose a new method, namely the Composite Large Margin Classifier (CLM), to address the issue of classification with latent subclasses. The CLM aims to find three linear functions simultaneously: one linear function to split the data into two parts, with each part being classified by a different linear classifier. Our method has comparable prediction accuracy to a general nonlinear classifier, and it maintains the interpretability of traditional linear classifiers. We demonstrate the competitive performance of the CLM through comparisons with several existing linear and nonlinear classifiers by Monte Carlo experiments. Analysis of the Alzheimer’s disease classification problem using CLM not only provides a lower classification error in discriminating cases and controls, but also identifies subclasses in controls that are more likely to develop the disease in the future.
Flakify: A Black-Box, Language Model-based Predictor for Flaky Tests
Creators: name: Fatima, Sakina
name: Ghaleb, Taher A.
name: Briand, Lionel
Publisher: name: arXiv
Year: 2021
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Software testing assures that code changes do not adversely affect existing functionality. However, a test case can be flaky, i.e., passing and failing across executions, even for the same version of the source code. Flaky test cases introduce overhead to software development as they can lead to unnecessary attempts to debug production or testing code. The state-of-the-art ML-based flaky test case predictors rely on pre-defined sets of features that are either project-specific, require access to production code, which is not always available to software test engineers. Therefore, in this paper, we propose Flakify, a black-box, language model-based predictor for flaky test cases. Flakify relies exclusively on the source code of test cases, thus not requiring to (a) access to production code (black-box), (b) rerun test cases, (c) pre-define features. To this end, we employed CodeBERT, a pre-trained language model, and fine-tuned it to predict flaky test cases using the source code of test cases. We evaluated Flakify on two publicly available datasets (FlakeFlagger and IDoFT) for flaky test cases and compared our technique with the FlakeFlagger approach using two different evaluation procedures: cross-validation and per-project validation. Flakify achieved high F1-scores on both datasets using cross-validation and per-project validation, and surpassed FlakeFlagger by 10 and 18 percentage points in terms of precision and recall, respectively, when evaluated on the FlakeFlagger dataset, thus reducing the cost bound to be wasted on unnecessarily debugging test cases and production code by the same percentages. Flakify also achieved significantly higher prediction results when used to predict test cases on new projects, suggesting better generalizability over FlakeFlagger. Our results further show that a black-box version of FlakeFlagger is not a viable option for predicting flaky test cases.
title: 7 things you should know about the 2016 key issues in teaching and learning: Accessibility and Universal Design for learning
Creators: name: Vaughan, Norman
name: Bull, Bernard
name: Joosten, Tanya
name: Whitmer, John
name: Dugdale, Shirley
name: Fovet, Frédéric
Publisher: name: Educause/ELI’s Key Issues
Year: 2016
Subjects: Universal Design for Learning
Post-secondary education

description: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License.
description: Since 2011, ELI’s Key Issues survey has been a way for the higher education teaching and learning community to discover the common ground that cuts across differences such as Carnegie Classification and FTE counts. The ELI Key Issues (formerly called Content Anchors) offer a window into the technologies and developments that the community finds most important for higher education. The 7 Things You Should Know About... series from the EDUCAUSE Learning Initiative (ELI) provides concise information on emerging learning technologies. Each brief focuses on a single technology and describes what it is, where it is going, and why it matters to teaching and learning. Use these briefs for a no-jargon, quick overview of a topic and share them with time-pressed colleagues. In addition to the 7 Things briefs, you may find other ELI resources useful in addressing teaching, learning, and technology issues at your institution. To learn more, please visit the ELI Resources page.
title: Making do with what we have: Using the built-in functions of a Learning Management System to implement UDL
Creators: name: Fovet, Frédéric
Publisher: name: Ahead Journal
Year: 2018
Subjects: Universal Design for Learning
Post-secondary education

description: This article is openly available at https://ahead.ie/journal/Making-do-with-what-we-have-using-the-built-in-functions-of-a-Learning-Management-System-to-implement-UDL.
description: One of the great challenges in the increasingly rapid and systemic implementation of Universal Design for Leaning (UDL) in higher education is currently the perception instructors have that the demands on their time are already too great for them to be able to attempt a redesign of their content, teaching methods and evaluation formats (Jordan Anstead, 2016). Many of the implementation initiatives in North America and Europe focus on the social justice objectives of UDL and on the inclusive outcomes these can lead to. The post-secondary sector, however, is currently in a situation of such flux, under neoliberal pressures, that instructors feel justified in objecting to change even though they may not be rejecting these inclusive goals per se (Clark, Moran, Skolnik & Trick, 2009). It becomes essential therefore for UDL advocates to acknowledge this reality, and to perhaps shift the UDL discourse on campuses from the conceptual social justice agenda to a more pragmatic, and logistic, discussion around time and resources. This practice brief suggests that the best way to achieve this change is to focus on tools and strategies that align with UDL and are already part of instructors’ reality. It is argued that it will then be possible to establish a constructive dialogue around handson strategies that are sustainable while not appearing burdensome to teaching staff. One such tool is the Learning Management System (LMS) that most campuses in the Global North have already purchased and integrated into campus life and administrative structure, also known in the UK under the term ‘virtual learning environment (VLE)’. (Bradley, Jadeski, Newton, Ritchie, Merrett, Bettger, 2013). This article will seek to highlight features that are contained in most LMSs that align with UDL principles and that allow for a quick and fairly effortless UDL integration in class. The LMS discussed in this paper is Moodle, but it is argued that many of the features discussed are present generically within most LMSs currently encountered in higher education, such as Canvas and Blackboard Collaborate.
Quantum Memristors with Quantum Computers
Creators: name: Guo, Y. -M.
name: Albarrán-Arriagada, F.
name: Alaeian, H.
name: Solano, E.
name: Barrios, G. Alvarado
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We propose the encoding of memristive quantum dynamics on a digital quantum computer. Using a set of auxiliary qubits, we simulate an effective non-Markovian environment inspired by a collisional model, reproducing memristive features between expectation values of different operators in a single qubit. We numerically test our proposal in an IBM quantum simulator with 32 qubits, obtaining the pinched hysteresis curve that is characteristic of a quantum memristor. Furthermore, we extend our method to the case of two coupled quantum memristors, opening the door to the study of neuromorphic quantum computing in the NISQ era.
description: 7 Pages, 12 Figures
GJ 367b is a dark, hot, airless sub-Earth
Creators: name: Zhang, Michael
name: Hu, Renyu
name: Inglis, Julie
name: Dai, Fei
name: Bean, Jacob L.
name: Knutson, Heather A.
name: Lam, Kristine
name: Goffo, Elisa
name: Gandolfi, Davide
Publisher: name: arXiv
Year: 2024
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: We present the mid-infrared (5-12 $μ$m) phase curve of GJ 367b observed by the Mid-Infrared Instrument (MIRI) on the James Webb Space Telescope (JWST). GJ 367b is a hot (T_eq=1370 K), extremely dense (10.2 +- 1.3 g/cm^3) sub-Earth orbiting a M dwarf on a 0.32 d orbit. We measure an eclipse depth of 79 +- 4 ppm, a nightside planet-to-star flux ratio of 4 +- 8 ppm, and a relative phase amplitude of 0.97 +- 0.10 -- all fully consistent with a zero-albedo planet with no heat recirculation. Su ch a scenario is also consistent with the phase offset of 11 +- 5 degrees East to within 2.2$σ$. The emission spectrum is likewise consistent with a blackbody with no heat redistribution and a low albedo of A_B ~ 0.1, with the exception of one anomalous wavelength bin that we attribute to unexplained systematics. The emission spectrum puts few constraints on the surface composition, but rules out a CO2 atmosphere >~ 1 bar, an outgassed atmosphere >~10 mbar (under heavily reducing conditions), or an outgassed atmosphere >~0.01 mbar (under heavily oxidizing conditions). The lack of day-night heat recirculation implies that 1 bar atmospheres are ruled out for a wide range of compositions, while 0.1 bar atmospheres are consistent with the data. Taken together with the fact that most of the dayside should be molten, our JWST observations suggest the planet must have lost the vast majority of its initial inventory of volatiles.
description: Published by ApJL
A hybrid Bayesian hierarchical model combining cohort and case–control studies for meta-analysis of diagnostic tests: Accounting for partial verification bias
Creators: name: Cole, Stephen R.
name: Chu, Haitao
name: Chen, Yong
name: Ma, Xiaoye
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2016

description: To account for between-study heterogeneity in meta-analysis of diagnostic accuracy studies, bivariate random effects models have been recommended to jointly model the sensitivities and specificities. As study design and population vary, the definition of disease status or severity could differ across studies. Consequently, sensitivity and specificity may be correlated with disease prevalence. To account for this dependence, a trivariate random effects model had been proposed. However, the proposed approach can only include cohort studies with information estimating study-specific disease prevalence. In addition, some diagnostic accuracy studies only select a subset of samples to be verified by the reference test. It is known that ignoring unverified subjects may lead to partial verification bias in the estimation of prevalence, sensitivities and specificities in a single study. However, the impact of this bias on a meta-analysis has not been investigated. In this paper, we propose a novel hybrid Bayesian hierarchical model combining cohort and case-control studies and correcting partial verification bias at the same time. We investigate the performance of the proposed methods through a set of simulation studies. Two case studies on assessing the diagnostic accuracy of gadolinium-enhanced magnetic resonance imaging in detecting lymph node metastases and of adrenal fluorine-18 fluorodeoxyglucose positron emission tomography in characterizing adrenal masses are presented.
Negative static permittivity and violation of Kramers-Kronig relations in quasi-two-dimensional crystals
Creators: name: Nazarov, Vladimir U.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We investigate the wave-vector and frequency-dependent screening of the electric field in atomically thin (quasi-two-dimensional) crystals. For graphene and hexagonal boron nitride we find that, above a critical wave-vector $q_c$, the static permittivity $\varepsilon(q \! > \!q_c,ω\! = \!0)$ becomes negative and the Kramers-Kronig relations do not hold for $\varepsilon(q \! > \! q_c,ω)$. Thus, in quasi-two-dimensional crystals, we reveal the physical confirmation of a proposition put forward decades ago (Kirzhnits, 1976), allowing for the breakdown of Kramers-Kronig relations and for the negative static permittivity. In the vicinity of the critical wave-vector, we find a giant growth of the permittivity. Our results, obtained in the {\it ab initio} calculations using both the random-phase approximation and the adiabatic time-dependent local-density approximation, and further confirmed with a simple slab model, allow us to argue that the above properties, being exceptional in the three-dimensional case, are common to quasi-two-dimensional systems.
description: 9 pages, 13 figures
The Schur-Wielandt theory for central S-rings
Creators: name: Chen, Gang
name: Muzychuk, Mikhail
name: Ponomarenko, Ilya
Publisher: name: arXiv
Year: 2015
Subjects: subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: 05E15, 05E30, 20C05

description: Two basic results on the S-rings over an abelian group are the Schur theorem on multipliers and the Wielandt theorem on primitive S-rings over groups with a cyclic Sylow subgroup. None of these theorems is directly generalized to the non-abelian case. Nevertheless, we prove that they are true for the central S-rings, i.e., for those which are contained in the center of the group ring of the underlying group (such S-rings naturally arise in the supercharacter theory). We also generalize the concept of a B-group introduced by Wielandt, and show that any Camina group is a generalized B-group whereas with few exceptions, no simple group is of this type.
description: 10 pages
Statistical methods for multivariate meta-analysis of diagnostic tests: An overview and tutorial
Creators: name: Cole, Stephen R
name: Nie, Lei
name: Lawson, Andrew B
name: Ma, Xiaoye
name: Lee, Duncan
name: Chu, Haitao
name: MacNab, Ying
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2016

description: In this article, we present an overview and tutorial of statistical methods for meta-analysis of diagnostic tests under two scenarios: 1) when the reference test can be considered a gold standard; and 2) when the reference test cannot be considered a gold standard. In the first scenario, we first review the conventional summary receiver operating characteristics (ROC) approach and a bivariate approach using linear mixed models (BLMM). Both approaches require direct calculations of study-specific sensitivities and specificities. We next discuss the hierarchical summary ROC curve approach for jointly modeling positivity criteria and accuracy parameters, and the bivariate generalized linear mixed models (GLMM) for jointly modeling sensitivities and specificities. We further discuss the trivariate GLMM for jointly modeling prevalence, sensitivities and specificities, which allows us to assess the correlations among the three parameters. These approaches are based on the exact binomial distribution and thus do not require an ad hoc continuity correction. Last, we discuss a latent class random effects model for meta-analysis of diagnostic tests when the reference test itself is imperfect for the second scenario. A number of case studies with detailed annotated SAS code in procedures MIXED and NLMIXED are presented to facilitate the implementation of these approaches.
N-body description of Debye shielding and Landau damping
Creators: name: Escande, D. F.
name: Doveil, F.
name: Elskens, Yves
Publisher: name: arXiv
Year: 2015
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: Classical Physics (physics.class-ph)
subject: FOS: Physical sciences

description: This paper brings further insight into the recently published N-body description of Debye shielding and Landau damping [Escande D F, Elskens Y and Doveil F 2014 Plasma Phys. Control. Fusion 57 025017]. Its fundamental equation for the electrostatic potential is derived in a simpler and more rigorous way. Various physical consequences of the new approach are discussed, and this approach is compared with the seminal one by Pines and Bohm [Pines D and Bohm D 1952 Phys. Rev. 85 338--353].
description: invited talk to 42nd EPS conference on plasma physics (Lisbon, 2015), submitted to Plasma Physics and Controlled Fusion
Sleep-related worry, sleep hygiene and associatedfactors in patients with depressive disorders atPsychiatric Outpatient Department, KingChulalongkorn Memorial Hospital
Creators: name: Panupong Boontongchuay
name: Siriluck Suppapitiporn
Publisher: name: Faculty of Medicine Chulalongkorn University
Year: 2023
Subjects: Depression
insomnia
sleep-related worry
sleep hygiene

description: Journal of Medical Bioscience, 5, 1, 013-021
Effect of perceived self - efficacy promotingand chair yoga program on pain inpatients with knee osteoarthritis
Creators: name: Ornanong Panmas
name: Noraluk Ua-Kit
Publisher: name: Faculty of Medicine Chulalongkorn University
Year: 2023
Subjects: Chair yoga
knee osteoarthritis
pai
self-efficacy promoting

description: Journal of Medical Bioscience, 5, 1, 023-029
Resilience and mental health of pre-cadetin Armed Forces AcademiesPreparatory School
Creators: name: Rachata Tipsot
name: Rasmon Kalayasiri
Publisher: name: Faculty of Medicine Chulalongkorn University
Year: 2023
Subjects: Mental health
peers
pre-cadet student
resilience

description: Journal of Medical Bioscience, 5, 1, 041-051
Effect of Thai traditional massage on quality ofsleep, stress, and muscle pain in patients withinsomnia and muscle tension syndrome
Creators: name: Benjapol Thangbua
name: Peeraphon Lueboonthavatchai
Publisher: name: Faculty of Medicine Chulalongkorn University
Year: 2023
Subjects: Insomnia
muscle pain
muscle tension syndrome
quality of sleep
stress, Thai TraditionalMassage

description: Journal of Medical Bioscience, 5, 1, 053-061
ViT-A*: Legged Robot Path Planning using Vision Transformer A*
Creators: name: Liu, Jianwei
name: Lyu, Shirui
name: Hadjivelichkov, Denis
name: Modugno, Valerio
name: Kanoulas, Dimitrios
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Legged robots, particularly quadrupeds, offer promising navigation capabilities, especially in scenarios requiring traversal over diverse terrains and obstacle avoidance. This paper addresses the challenge of enabling legged robots to navigate complex environments effectively through the integration of data-driven path-planning methods. We propose an approach that utilizes differentiable planners, allowing the learning of end-to-end global plans via a neural network for commanding quadruped robots. The approach leverages 2D maps and obstacle specifications as inputs to generate a global path. To enhance the functionality of the developed neural network-based path planner, we use Vision Transformers (ViT) for map pre-processing, to enable the effective handling of larger maps. Experimental evaluations on two real robotic quadrupeds (Boston Dynamics Spot and Unitree Go1) demonstrate the effectiveness and versatility of the proposed approach in generating reliable path plans.
description: 6 pages, 6 figures, conference
Antidepressant adherence and associatedfactors in Thai elderly with depressivedisorders: a cross-sectional study
Creators: name: Thapanee Jaipinta
name: Sookjaroen Tangwongchai
Publisher: name: Faculty of Medicine Chulalongkorn University
Year: 2023
Subjects: Aged
antidepressive agents
depressive disorder
medication adherence

description: Journal of Medical Bioscience, 5, 1, 063-073
Relationship between artworksand depression
Creators: name: Piyapat Phirachaipanana
name: Warawut Tourawongb
name: Passakron Phuangthongkhamc
name: Peerapon Vateekulc
name: Chavit Tunvirachaisakula
Publisher: name: Faculty of Medicine Chulalongkorn University
Year: 2023
Subjects: Artworks
art characteristics
depression

description: Journal of Medical Bioscience, 5, 1, 075-082
Euler Polynomials and Identities for Non-Commutative Operators
Creators: name: De Angelis, V.
name: Vignat, C.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: Three kinds of identities involving non-commutating operators and Euler and Bernoulli polynomials are studied. The first identity, as given by Bender and Bettencourt, expresses the nested commutator of the Hamiltonian and momentum operators as the commutator of the momentum and the shifted Euler polynomial of the Hamiltonian. The second one, due to J.-C. Pain, links the commutators and anti-commutators of the monomials of the position and momentum operators. The third appears in a work by Figuieira de Morisson and Fring in the context of non-Hermitian Hamiltonian systems. In each case, we provide several proofs and extensions of these identities that highlight the role of Euler and Bernoulli polynomials.
description: 20 pages
Contamination of inducible clindamycin resistantStaphylococcus aureus on the mobile phone of aThai pharmacy university student: A case report
Creators: name: Methee Sriprapun
name: Oraphan Atthakorn
name: Atchareeya Phuakwilai
name: Mullika Traidej Chomnawang
Publisher: name: Faculty of Medicine Chulalongkorn University
Year: 2023
Subjects: Contamination
inducible clindamycin resistance
mobile phone
Staphylococcus aureus
university student

description: Journal of Medical Bioscience, 5, 1, 083-087
Neighborhoods of periodic orbits and the stationary distribution of a noisy chaotic system
Creators: name: Heninger, Jeffrey M.
name: Lippolis, Domenico
name: Cvitanovic, Predrag
Publisher: name: arXiv
Year: 2015
Subjects: subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: The finest state space resolution that can be achieved in a physical dynamical system is limited by the presence of noise. In the weak-noise approximation the neighborhoods of deterministic periodic orbits can be computed as distributions stationary under the action of a local Fokker-Planck operator and its adjoint. We derive explicit formulae for widths of these distributions in the case of chaotic dynamics, when the periodic orbits are hyperbolic. The resulting neighborhoods form a basis for functions on the attractor. The global stationary distribution, needed for calculation of long-time expectation values of observables, can be expressed in this basis.
description: 6 pages, 3 figures
Braided embeddings of contact 3-manifolds in the standard contact 5-sphere
Creators: name: Etnyre, John B.
name: Furukawa, Ryo
Publisher: name: arXiv
Year: 2015
Subjects: subject: Geometric Topology (math.GT)
subject: Symplectic Geometry (math.SG)
subject: FOS: Mathematics
subject: 57R17, 53D10

description: In this paper we study embeddings of contact manifolds using braidings of one manifold about another. In particular we show how to embed many contact 3-manifolds into the standard contact 5-sphere. We also show how to obstruct braidings of one manifold about another using contact geometry.
description: 35 pages, 10 figures, accepted for publication by the Journal of Topology
The effects of different bioceramics‑incorporated oxide films on titanium implant by plasma electrolytic oxidation
Creators: name: Adeleke, sakiru
Publisher: name: figshare
Year: 2022
Subjects: Biological Engineering

description: In this paper, the effect of commercial hydroxyapatite (CHA) and bovine, derived hydroxyapatite (BHA) ceramics on the structure, corrosion, and biological response of Ti6Al4V anodic coatings were studied. The XRD results indicated that the coatings consist of TiO2, NaTi2(PO4)3 and HA, whereas specific product such as MgO was present in BHA‑layer, and CaTiO3 in CHA film. The TiO2‑CHA films showed porous circular pores while BHA‑containing coatings revealed flake‑droplet morphology. The contact angle and surface energy test revealed that the layers are significantly more hydrophilic and have higher surface energy than the bare Ti6Al4V. The SBF assessment showed that the films possessed higher apatite forming ability than Ti6Al4V, especially with BHA film. The invitro test results agree strongly with the SBF soaking: the BHA coating demonstrated superior corrosion performance due to its ingredients. The results suggest that BHA could promote higher Ca2+/ PO43− induction on the implant with great potential for biomedical applications.
A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review
Creators: name: Pearce, Michael
name: Erosheva, Elena A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Methodology (stat.ME)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Rankings and scores are two common data types used by judges to express preferences and/or perceptions of quality in a collection of objects. Numerous models exist to study data of each type separately, but no unified statistical model captures both data types simultaneously without first performing data conversion. We propose the Mallows-Binomial model to close this gap, which combines a Mallows' $ϕ$ ranking model with Binomial score models through shared parameters that quantify object quality, a consensus ranking, and the level of consensus between judges. We propose an efficient tree-search algorithm to calculate the exact MLE of model parameters, study statistical properties of the model both analytically and through simulation, and apply our model to real data from an instance of grant panel review that collected both scores and partial rankings. Furthermore, we demonstrate how model outputs can be used to rank objects with confidence. The proposed model is shown to sensibly combine information from both scores and rankings to quantify object quality and measure consensus with appropriate levels of statistical uncertainty.
description: 36 pages, 8 figures
Changes From The Initial Registration
Creators: name: Stubenvoll, Charlotte
name: Mayer, Axel
name: Drimalla, Hanna
name: , Matthias
name: Doramé Molkenthin
Publisher: name: Open Science Framework
Year: 2023
Subjects: subject: stress induction
subject: digital stress test
subject: smartphone
subject: trier social stress test

description: This component serves to provide the updated protocol for the validation study.