cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Particle motion in a deformed potential using a transformed oscillator basis
Creators: name: Lay, J. A.
name: Moro, A. M.
name: Arias, J. M.
name: Gómez-Camacho, J.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The quantum description of a particle moving in a deformed potential is investigated. A pseudostate (PS) basis is used to represent the states of the composite system. This PS basis is obtained by diagonalizing the system Hamiltonian in a family of square integrable functions. In this work the Transformed Harmonic Oscillator (THO) functions, obtained from the solutions of the Harmonic Oscillator using a Local Scale Transformation (LST), are used. The proposed method is applied to the 11Be nucleus, treated in a two-body model (10Be+n). Both structure and reaction observables have been studied. Wavefunctions and energies obtained for the bound states and some low-lying resonances are compared with those obtained by direct integration of the Schroedinger equation. The dipole and quadrupole electric transition probabilities for the low-energy continuum have been calculated in the THO basis, and compared with the exact distributions obtained with the scattering states. Finally, the method is applied to describe the 11Be states in the Coulomb breakup of 11Be+208Pb at 69 MeV/nucleon. The energy and angular distributions of the exclusive breakup have been calculated using the Equivalent Photon Method, including both E1 and E2 contributions. The calculated distributions are found to be in good agreement with the available experimental data from RIKEN [Phys. Rev. C70, 054606]. At the very forward angles, the cross section is completely dominated by the dipole couplings.
description: 12 pages, 9 figures, Submitted to Phys. Rev. C
Longitudinal double-spin asymmetries for pi(0)s in the forward direction for 510 GeV polarized pp collisions
Creators: name: (:Unkn) Unknown
Publisher: name: My University
Year: 2018
Subjects: hep-ex
nucl-ex

description: The STAR Collaboration reports measurements of the longitudinal double-spin asymmetry, $A_{LL}$, for neutral pions produced at forward directions in polarized proton-proton collisions, at a center-of-mass energy of $510$ GeV. Results are given for transverse momenta in the range $2
Energy levels of triangular and hexagonal graphene quantum dots: a comparative study between the tight-binding and the Dirac approach
Creators: name: Zarenia, M.
name: Chaves, A.
name: Farias, G. A.
name: Peeters, F. M.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The Dirac equation is solved for triangular and hexagonal graphene quantum dots for different boundary conditions in the presence of a perpendicular magnetic field. We analyze the influence of the dot size and its geometry on their energy spectrum. A comparison between the results obtained for graphene dots with zigzag and armchair edges, as well as for infinite-mass boundary condition, is presented and our results show that the type of graphene dot edge and the choice of the appropriate boundary conditions have a very important influence on the energy spectrum. The single particle energy levels are calculated as function of an external perpendicular magnetic field which lifts degeneracies. Comparing the energy spectra obtained from the tight-binding approximation to those obtained from the continuum Dirac equation approach, we verify that the behavior of the energies as function of the dot size or the applied magnetic field are qualitatively similar, but in some cases quantitative differences can exist.
description: 13 pages, 18 figures. To be appeared in Phys. Rev. B
AOA-based three-dimensional multi-target localization in industrial WSNs for LOS conditions
Creators: name: (:Unkn) Unknown
Publisher: name: My University
Year: 2018
Subjects: wireless sensor network
localization
smart industrial
angle of arrival
maximum likelihood estimator
antenna array

description: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. High-precision and fast relative positioning of a large number of mobile sensor nodes (MSNs) is crucial for smart industrial wireless sensor networks (SIWSNs). However, positioning multiple targets simultaneously in three-dimensional (3D) space has been less explored. In this paper, we propose a new approach, called Angle-of-Arrival (AOA) based Three-dimensional Multi-target Localization (ATML). The approach utilizes two anchor nodes (ANs) with antenna arrays to receive the spread spectrum signals broadcast by MSNs. We design a multi-target single-input-multiple-output (MT-SIMO) signal transmission scheme and a simple iterative maximum likelihood estimator (MLE) to estimate the 2D AOAs of multiple MSNs simultaneously. We further adopt the skew line theorem of 3D geometry to mitigate the AOA estimation errors in determining locations. We have conducted extensive simulations and also developed a testbed of the proposed ATML. The numerical and field experiment results have verified that the proposed ATML can locate multiple MSNs simultaneously with high accuracy and efficiency by exploiting the spread spectrum gain and antenna array gain. The ATML scheme does not require extra hardware or synchronization among nodes, and has good capability in mitigating interference and multipath effect in complicated industrial environments.
Using the mutation-selection framework to characterize selection on protein sequences
Creators: name: (:Unkn) Unknown
Publisher: name: My University
Year: 2018
Subjects: evolutionary modeling
protein evolution
mutation-selection models

description: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. When mutational pressure is weak, the generative process of protein evolution involves explicit probabilities of mutations of different types coupled to their conditional probabilities of fixation dependent on selection. Establishing this mechanistic modeling framework for the detection of selection has been a goal in the field of molecular evolution. Building on a mathematical framework proposed more than a decade ago, numerous methods have been introduced in an attempt to detect and measure selection on protein sequences. In this review, we discuss the structure of the original model, subsequent advances, and the series of assumptions that these models operate under.
Thin film transistors based on transition metal dichalcogenides for spintronics and logic circuits
Creators: name: Li, Xintong
name: 0000-0001-8566-0558
Publisher: name: The University of Texas at Austin
Year: 2023
Subjects: Spin and valley Hall effect
Spatial Kerr rotation measurement
Spin/valley lifetime
Mean free path
Ambipolar transport
Dual-gate
Transition metal dichalcogenides
Cascadability
Logic gates
VT-drop gates
Fall/rise time

description: Thin film transistors (TFTs) based on two-dimensional (2D) van der Waals materials have attracted significant interest in the post-Moore era due to their unique properties, such as high carrier mobility, ultra-thin thickness, tunable bandgap, reduced short channel effects, and novel physics such as Moiré pattern and spin and valley Hall effects (SVHE). These properties have the potential to enable faster, more efficient logic and analog circuits, memory, optoelectronics and spintronics. TFTs based on transition metal dichalcogenides (TMDs) are popular since these materials possess proper thickness-dependent band structures, high mobility, and abundant novel physics. In this dissertation, the TFTs mainly based on tungsten diselenide (WSe₂) are fabricated and studied. First, the SVHE in monolayer WSe₂ TFTs is experimentally measured, and key parameters are extracted from the measurements. Kerr rotation (KR) measurements show the spatial distribution of the SVHE at different temperatures, its persistence up to 160 K, and that it can be electrically modulated via gate and drain bias. A spin/valley drift and diffusion model together with a reflection measurement and a four-port electrical measurement is used to interpret the KR data. The spin/valley lifetime, mean free path and polarization are calculated. These are important steps towards the potential application of spintronics and valleytronics based on TMD materials. Then the potential of TMD based TFTs in logic circuits is studied, which is a more practical application. New ambipolar dual-gate TFTs based on WSe₂ are fabricated and show near-ideal performances, including a high on-off ratio, low off-state current, ideal subthreshold swing (SS), and negligible hysteresis. For the first time, cascadable logic gates based on ambipolar TMD transistors are then demonstrated with fewer transistors than CMOS and minimal static power consumption, including inverters, XOR, NAND, NOR, and buffers made by cascaded inverters. Then a thorough study of the behavior of both gates is conducted, which has previously been lacking. The large noise margin enables the implementation of VT-drop circuits, a type of logic with reduced transistor number and simplified circuit design. Finally, the speed performance of the VT-drop and other circuits built by dual-gate devices are qualitatively analyzed.
TLTD: A testing framework for learning-based IoT traffic detection systems
Creators: name: (:Unkn) Unknown
Publisher: name: My University
Year: 2018
Subjects: internet of things
traffic detection
adversarial samples
machine learning

description: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. With the popularization of IoT (Internet of Things) devices and the continuous development of machine learning algorithms, learning-based IoT malicious traffic detection technologies have gradually matured. However, learning-based IoT traffic detection models are usually very vulnerable to adversarial samples. There is a great need for an automated testing framework to help security analysts to detect errors in learning-based IoT traffic detection systems. At present, most methods for generating adversarial samples require training parameters of known models and are only applicable to image data. To address the challenge, we propose a testing framework for learning-based IoT traffic detection systems, TLTD. By introducing genetic algorithms and some technical improvements, TLTD can generate adversarial samples for IoT traffic detection systems and can perform a black-box test on the systems.
Early life peer victimization : associated neural structure and reactivity to social-emotional stimuli, drinking motives, and alcohol use in young adulthood
Creators: name: Tretyak, Valeria
Publisher: name: The University of Texas at Austin
Year: 2023
Subjects: Peer victimization
Adolescent
Young adult
Neurobiology
Drinking motives
Alcohol use

description: Peer victimization—otherwise known as bullying victimization—is a known risk factor for increased alcohol use, however the neural correlates of this association remain unknown. Early life peer victimization may impact neural affect reactivity, which may contribute to alcohol use as a maladaptive coping mechanism later in life. Peer victimization has been associated with differential structure and/or function of the orbitofrontal, anterior cingulate and insula cortices, and amygdala. These neural networks have also been implicated in affect reactivity and regulation, heavy drinking, and addiction. Whether differential structure and/or function of these neural regions is associated with greater alcohol use in young adults with history of peer victimization has not been directly investigated. This dissertation comprised a secondary data analysis in IMAGEN—a multinational European research project. This study aimed to investigate whether greater early life peer victimization (ages:14-22) is associated with differential structure and function (Angry-Neutral-Faces Task) in orbitofrontal, anterior cingulate and insula cortices, and amygdala in 674 young adults (53% female, mean age:22 [SD:1]). Additionally, this study investigated whether increased alcohol use associated with peer victimization is mediated by greater endorsement of coping anxiety and depression drinking motives, and whether this mediation is, in turn, moderated by differences in gray matter volume and/or functional activation in a priori regions of interest. Higher peer victimization scores were associated with greater gray matter volume in left anterior insula, and lower functional activation in left orbitofrontal cortex when viewing angry compared to neutral faces. Coping anxiety and depression drinking motives fully mediated relations between most severe peer victimization scores and greater frequency and quantity of recent alcohol use. Additionally, most severe peer victimization scores were associated with greater coping depression drinking motives in participants with lower gray matter volume in left anterior insula, and in young adult females with lower functional activation in left orbitofrontal cortex. Follow-up studies are needed to replicate—and expand upon—these findings. Identifying biomarkers of greater alcohol use in young adults with history of peer victimization may provide the foundation for future clinical trials and development of prevention initiatives aimed at decreasing risk of alcohol misuse.
E-SAFE: Secure, efficient and forensics-enabled access to implantable medical devices
Creators: name: (:Unkn) Unknown
Publisher: name: My University
Year: 2018
Subjects: Implantable medical devices
authentication
access control
compressive sensing

description: © 2018 IEEE. To facilitate monitoring and management, modern Implantable Medical Devices (IMDs) are often equipped with wireless capabilities, which raise the risk of malicious access to IMDs. Although schemes are proposed to secure the IMD access, some issues are still open. First, pre-sharing a long-term key between a patient's IMD and a doctor's programmer is vulnerable since once the doctor's programmer is compromised, all of her patients suffer; establishing a temporary key by leveraging proximity gets rid of pre-shared keys, but as the approach lacks real authentication, it can be exploited by nearby adversaries or through man-in-the-middle attacks. Second, while prolonging the lifetime of IMDs is one of the most important design goals, few schemes explore to lower the communication and computation overhead all at once. Finally, how to safely record the commands issued by doctors for the purpose of forensics, which can be the last measure to protect the patients' rights, is commonly omitted in the existing literature. Motivated by these important yet open problems, we propose an innovative scheme e-SAFE, which significantly improves security and safety, reduces the communication overhead and enables IMD-access forensics. We present a novel lightweight compressive sensing based encryption algorithm to encrypt and compress the IMD data simultaneously, reducing the data transmission overhead by over 50% while ensuring high data confidentiality and usability. Furthermore, we provide a suite of protocols regarding device pairing, dual-factor authentication, and accountability-enabled access. The security analysis and performance evaluation show the validity and efficiency of the proposed scheme.
Joining Forces of Bayesian and Frequentist Methodology: A Study for Inference in the Presence of Non-Identifiability
Creators: name: Raue, Andreas
name: Kreutz, Clemens
name: Theis, Fabian Joachim
name: Timmer, Jens
Publisher: name: arXiv
Year: 2012
Subjects: subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences

description: Increasingly complex applications involve large datasets in combination with non-linear and high dimensional mathematical models. In this context, statistical inference is a challenging issue that calls for pragmatic approaches that take advantage of both Bayesian and frequentist methods. The elegance of Bayesian methodology is founded in the propagation of information content provided by experimental data and prior assumptions to the posterior probability distribution of model predictions. However, for complex applications experimental data and prior assumptions potentially constrain the posterior probability distribution insufficiently. In these situations Bayesian Markov chain Monte Carlo sampling can be infeasible. From a frequentist point of view insufficient experimental data and prior assumptions can be interpreted as non-identifiability. The profile likelihood approach offers to detect and to resolve non-identifiability by experimental design iteratively. Therefore, it allows one to better constrain the posterior probability distribution until Markov chain Monte Carlo sampling can be used securely. Using an application from cell biology we compare both methods and show that a successive application of both methods facilitates a realistic assessment of uncertainty in model predictions.
description: Article to appear in Phil. Trans. Roy. Soc. A
Essays on non-market forces and marketing strategy
Creators: name: Hasan, Tushmit M.
Publisher: name: The University of Texas at Austin
Year: 2023
Subjects: ESG
Corporate social responsibility
Stereotype content model
Voluntary disclosures
Political risk
Political uncertainty
R&D
Advertising
Lobbying

description: In this dissertation, I present two essays that focus on two non-market forces that have been relatively understudied in the marketing literature: ESG pressures (i.e., the increasing calls on firms to provide information pertaining to their impact on environmental, social, and governance issues) and political risk (i.e., the risks emanating from the legal, political, and regulatory environment in which the firms operate). In my first essay, I draw a conceptual distinction on ESG and CSR disclosures, drawing on the Stereotype Content Model and using text analysis on a sample of 3,350 Twitter disclosures about ESG and CSR from S&P500 companies. In my second essay, I investigate whether firms adjust their levels of marketing spending (R&D and advertising) when faced with high levels of political risk and whether these adjustments in spending can mitigate the negative impact of political risk on firm value. I compare these effects with firms’ level of non-marketing (lobbying) spending. Taken together, my two essays examine different forms of responses to non-market forces through marketing strategy and offers insights on which strategies are most effective. My first essay shows how firms can respond to non-market forces in the form of ESG and CSR pressures through different language in their disclosures; and my second essay shows that marketing strategies may be more effective in mitigating the negative impact of a key non-market force, political risk, compared to non-marketing strategies.
The Young bouquet and its boundary
Creators: name: Borodin, Alexei
name: Olshanski, Grigori
Publisher: name: arXiv
Year: 2011
Subjects: subject: Representation Theory (math.RT)
subject: Combinatorics (math.CO)
subject: Probability (math.PR)
subject: FOS: Mathematics

description: The classification results for the extreme characters of two basic "big" groups, the infinite symmetric group S(infinity) and the infinite-dimensional unitary group U(infinity), are remarkably similar. It does not seem to be possible to explain this phenomenon using a suitable extension of the Schur-Weyl duality to infinite dimension. We suggest an explanation of a different nature that does not have analogs in the classical representation theory. We start from the combinatorial/probabilistic approach to characters of "big" groups initiated by Vershik and Kerov. In this approach, the space of extreme characters is viewed as a boundary of a certain infinite graph. In the cases of S(infinity) and U(infinity), those are the Young graph and the Gelfand-Tsetlin graph, respectively. We introduce a new related object that we call the Young bouquet. It is a poset with continuous grading whose boundary we define and compute. We show that this boundary is a cone over the boundary of the Young graph, and at the same time it is also a degeneration of the boundary of the Gelfand-Tsetlin graph. The Young bouquet has an application to constructing infinite-dimensional Markov processes with determinantal correlation functions.
description: 43 pp
Factors Influencing the Potential Acceptance of COVID-19 Vaccine among Healthcare Workers in a District Hospital in Manjung, Perak
Creators: name: Lee, Li Yuan
name: Chang, Meng Lee
name: Siew Ying Ting
name: Chiew, Shoen Chuen
name: Norsarlizna Mat Sari
Publisher: name: Zenodo
Year: 2021
Subjects: Acceptance
COVID-19
Vaccine
Healthcare Workers
Perak
Malaysia
District Hospital
Manjung

description: Introduction Vaccine is the most promising solution against COVID-19 pandemic. This study aimed to determine the potential acceptance of COVID-19 vaccine and the associated factors among Healthcare Workers (HCWs) in Hospital Seri Manjung (HSM). Methods A cross-sectional study using self-administered online questionnaire was conducted among all HCWs in HSM from December 2020-January 2021. Results and Discussion Among 901 subjects recruited, 74.8% self-considered moderate to high risk of contracting COVID-19 infection. Although 65.8% thought that COVID-19 vaccination was important for self-protection but only 50.7% would accept it. Those not worried about fever post-vaccination [Adj. OR=5.06; 95%Cl: 1.12,22.89; p=0.035], neutral towards unknown long-term side effect [Adj. OR=2.59; 95%Cl: 1.39,4.81; p=0.003], neutral [Adj. OR=3.21; 95%Cl: 1.69,6.10; p<0.001] and not worried about effectiveness of vaccine [Adj. OR=3.54; 95%Cl: 1.10,11.39; p=0.034] were more likely to accept COVID-19 vaccine. Subjects who would reject vaccination despite declaration of bovine-free [Adj. OR=0.44; 95%Cl: 0.20,0.96; p=0.038]; reject India-manufactured vaccine [Adj. OR=0.23; 95%Cl: 0.09,0.61; p=0.003]; reject vaccination despite recommendation by government [Adj. OR=0.11; 95%Cl: 0.02,0.56; p=0.008] or trusted healthcare professionals [Adj. OR=0.03; 95%Cl: 0.01,0.11; p=<0.001] were associated with lower overall COVID-19 vaccine acceptance. Indifference towards vaccination despite declaration of porcine-free [Adj. OR=0.42; 95%Cl: 0.24,0.73; p=0.002]; duration of vaccine effectiveness [Adj. OR=0.30; 95%Cl: 0.16,0.57; p=<0.001] or escalation of cases [Adj. OR=0.54; 95%Cl: 0.32,0.93; p=0.027] were also associated with lower overall COVID-19 vaccine acceptance. Discussion / Conclusion Concerns regarding the content, manufacturing country and confidence towards government or healthcare professionals need to be addressed to improve COVID-19 vaccine acceptance among HCWs. [Disclaimer: Abstract text might vary slightly from what is displayed in the e-poster]
description: This poster was submitted to the 14th National Conference for Clinical Research (NCCR) in August 18-20, 2021. https://nccrconference.com.my/
Online Algorithms and Optimal Offline Algorithms for Dynamic Optimal Power Flow
Creators: name: Fu, Haoming
Publisher: name: Graduate Studies
Year: 2014
Subjects: subject: Computer Science
subject: online algorithm
subject: Optimal Power Flow
subject: Battery
subject: semidefinite programming
subject: primal-dual method

description: Optimal Power Flow (OPF) studies the optimal routing of electrical power within a power grid, between supply and demand locations. Along with the Unit Commitment Problem (UCP) that studies generation unit scheduling, OPF is one of the two key problems at the core of power network optimization. Dynamic OPF (DOPF) is the OPF problem in power grids with battery energy storage explicitly considered. This thesis further incorporates renewable energy generation into the DOPF problem. Recent studies suggest the important role of energy storage systems and devices in balancing intermittent power supply and fluctuating demand, and reducing operational cost. DOPF is essentially a quadratically constrained problem (QCP), which has a non-convex nature, and is NP hard to solve in general. We provide a sufficient condition under which DOPF is equivalent to a Semidefinite Programming (SDP) problem, which is computationally efficient to solve. An optimal offline optimization algorithm is designed for DOPF by solving the SDP and then recovering an optimal offline solution to DOPF. Addressing the dynamic nature of DOPF, our work further proposes the first online algorithm for DOPF. Partially motivated by our offline algorithm, we first transform DOPF to a Linear Programming (LP) problem and then a packing problem. An online algorithm is then tailored based on the primal-dual method. Trace driven simulation studies verify the efficacy of the proposed offline and online algorithms.
Console modification in the video game industry an empirical study of the technological protection measure reforms of the Australian Copyright Act 1968 (Cth)
Creators: name: Raval, Melchor Inigo
Publisher: name: Monash University
Year: 2017
Subjects: Uncategorized

description: The Australian-United States Free Trade Agreement expanded the access rights provisions, including the technological protection measures (TPM) and anti-circumvention prohibitions in the Copyright Act 1968 (Cth), to address the unauthorised distribution of copyrighted content, colloquially referred to as piracy. Copyright users object to these "paracopyright" principles being implemented as criminal penalties and restrictive Digital Rights Management (DRM). Evidence that piracy has persisted despite the implementation of TPMs raises the question of the effectiveness of copyright as a control of piracy. The thesis examines through empirical methodologies the effectiveness of the access rights provisions of the Act that are required in light of persistent circumvention and piracy. To address this, a case study using video game console modification was undertaken as its functions highlight the issue of access restriction and cultural acceptance of DRM circumvention to access content illegally. More significantly, while console modification is defined by the video game industry as a gateway into piracy, video-gamers argue that it allows interoperable software and privately copied games to be accessed without restriction. A series of interviews and focus groups, comprising video game industry professionals and gamers, were conducted to highlight these opposing perspectives. The thesis found copyright as law is powerless in light of the cultural norms developed by internet users which accept console modification and piracy as a convention. The economic factors such as the high price of video games in Australia and technological advances in console modification and DRM mean a multifaceted approach to the re-adjustment is required. The thesis makes recommendations to achieve an acceptable re-adjustment through the recognition of cultural norms, and the introduction of business models that provide user-friendly solutions in accessing content.
Correlation measurements between flow harmonics in Au+Au collisions at RHIC
Creators: name: (:Unkn) Unknown
Publisher: name: My University
Year: 2018
Subjects: Collectivity
Correlation
Shear viscosity

description: © 2018 The Author Flow harmonics (vn) in the Fourier expansion of the azimuthal distribution of particles are widely used to quantify the anisotropy in particle emission in high-energy heavy-ion collisions. The symmetric cumulants, SC(m,n), are used to measure the correlations between different orders of flow harmonics. These correlations are used to constrain the initial conditions and the transport properties of the medium in theoretical models. In this Letter, we present the first measurements of the four-particle symmetric cumulants in Au+Au collisions at sNN=39 and 200 GeV from data collected by the STAR experiment at RHIC. We observe that v2 and v3 are anti-correlated in all centrality intervals with similar correlation strengths from 39 GeV Au+Au to 2.76 TeV Pb+Pb (measured by the ALICE experiment). The v2–v4 correlation seems to be stronger at 39 GeV than at higher collision energies. The initial-stage anti-correlations between second and third order eccentricities are sufficient to describe the measured correlations between v2 and v3. The best description of v2–v4 correlations at sNN=200GeV is obtained with inclusion of the system's nonlinear response to initial eccentricities accompanied by the viscous effect with η/s>0.08. Theoretical calculations using different initial conditions, equations of state and viscous coefficients need to be further explored to extract η/s of the medium created at RHIC.
Data for: Weaker selection on genes with treatment-specific expression consistent with a limit on plasticity evolution in Arabidopsis thaliana
Creators: name: Roberts, Miles
name: Josephs, Emily
Publisher: name: Zenodo
Year: 2023
Subjects: plasticity
gene expression profiling
Arabidopsis thaliana
evolutionary rates
Relaxed negative selection

description: Differential gene expression between environments often underlies phenotypic plasticity. However, environment-specific expression patterns are hypothesized to relax selection on genes, and thus limit plasticity evolution. We collated over 27 terabases of RNA-sequencing data on Arabidopsis thaliana from over 300 peer-reviewed studies and 200 treatment conditions to investigate this hypothesis. Consistent with relaxed selection, genes with more treatment-specific expression have higher levels of nucleotide diversity and divergence at nonsynonymous sites but lack stronger signals of positive selection. This result persisted even after controlling for expression level, gene length, GC content, the tissue specificity of expression, and technical variation between studies. Overall, our investigation supports the existence of a hypothesized trade-off between the environment specificity of a gene's expression and the strength of selection on said gene in A. thaliana. Future studies should leverage multiple genome-scale datasets to tease apart the contributions of many variables in limiting plasticity evolution.
description: The two .xlsx files can be opened with Microsoft Excel or any excel reader. The files ending in .gz must be decompressed with the gunzip command on a command line before opening, or can be opened with any reader for gzipped files. The PDF file can be read with any PDF reader.Funding provided by: National Institutes of Health
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000002
Award Number: R35-GM142829Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: DGE-1828149Funding provided by: National Institutes of Health
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000002
Award Number: T32-GM110523
description: Please see the PDF named arabidopsis-conditional-expression-manuscript-methods-only.pdf in the Zenodo supplemental material attached to this submission for the full methods and equations used for data processing, including citations to relevant publications.
Higher Order Spin Resonances in a 2.1 GeV/c Polarized Proton Beam
Creators: name: Leonova, M. A.
name: Askari, J. A.
name: Gordon, K. N.
name: Krisch, A. D.
name: Liu, J.
name: Morozov, V. S.
name: Nees, D. A.
name: Raymond, R. S.
name: Sivers, D. W.
name: Wong, V. K.
name: Hinterberger, F.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Accelerator Physics (physics.acc-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: Spin resonances can depolarize or spin-flip a polarized beam. We studied 1st and higher order spin resonances with stored 2.1 GeV/c vertically polarized protons. The 1st order vertical (νy) resonance caused almost full spin-flip, while some higher order νy resonances caused partial depolarization. The 1st order horizontal (νx) resonance caused almost full depolarization, while some higher order νx resonances again caused partial depolarization. Moreover, a 2nd order νx resonance is about as strong as some 3rd order νx resonances, while some 3rd order νy resonances are much stronger than a 2nd order νy resonance. One thought that νy spin resonances are far stronger than νx, and that lower order resonances are stronger than higher order; the data do not support this.
description: 5 pages, 5 figures Note that Fig. 5 did not appear in the PRL due to space limitation, but did appear in the March 2012 CERN Courier News Item "Results from SPIN@COSY may bode well for RHIC"
Entanglement of excited states in critical spin chians
Creators: name: Berganza, Miguel Ibanez
name: Alcaraz, Francisco Castilho
name: Sierra, German
Publisher: name: arXiv
Year: 2011
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Theory (hep-th)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Renyi and von Neumann entropies quantifying the amount of entanglement in ground states of critical spin chains are known to satisfy a universal law which is given by the Conformal Field Theory (CFT) describing their scaling regime. This law can be generalized to excitations described by primary fields in CFT, as was done in reference (Alcaraz et. al., Phys. Rev. Lett. 106, 201601 (2011)), of which this work is a completion. An alternative derivation is presented, together with numerical verifications of our results in different models belonging to the c=1,1/2 universality classes. Oscillations of the Renyi entropy in excited states and descendant fields are also discussed.
description: 23 pages, 13 figures
Corruption, Reform and the Euro
Creators: name: Caruana-Galizia, Paul
Publisher: name: Humboldt-Universität zu Berlin
Year: 2017
Subjects: subject: 330 Wirtschaft
subject: 940 Geschichte Europas

description: This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.
description: Most policymakers and academics predicted that the European monetary union would lead to economic and institutional modernizaon in its least productive members – Greece, Ireland, Italy, Portugal and Spain. In fact, apart from Ireland, these countries became even more corrupt and their governments even less effective. This paper suggests an explanation that links the reluctance of peripheral countries to reform with the increase in their corruption levels. It also argues that their societies were stuck in a collective action problem: individuals have understood that corruption is antithetical to institutional quality and reform, but, as they cannot trust each other to refrain from corrupt practices, they stand to lose individually from not being corrupt themselves. Monetary union was seen as an external authority that would resolve this problem. Yet weak EU and eurozone monitoring and sanctioning discouraged the formation of social norms while making it attractive for formerly non-corrupt actors to engage in corruption, given the low risk of being caught. Survey evidence supports growth in perceptions of corruption and bribery, along with the weakening of social trust, trust in the police and in politicians across the periphery after the euro’s introduction.
Model-assisted design of experiments in the presence of network-correlated outcomes
Creators: name: (:Unkn) Unknown
Publisher: name: My University
Year: 2018
Subjects: Causal inference
Degree distribution
Network balance
Network data
Optimal treatment allocation
Randomized experiment
Rerandomization

description: © 2018 Biometrika Trust. In this paper we consider how to assign treatment in a randomized experiment in which the correlation among the outcomes is informed by a network available pre-intervention. Working within the potential outcome causal framework, we develop a class of models that posit such a correlation structure among the outcomes.We use these models to develop restricted randomization strategies for allocating treatment optimally, by minimizing the mean squared error of the estimated average treatment effect. Analytical decompositions of the mean squared error, due both to the model and to the randomization distribution, provide insights into aspects of the optimal designs. In particular, the analysis suggests new notions of balance based on specific network quantities, in addition to classical covariate balance. The resulting balanced optimal restricted randomization strategies are still design-unbiased when the model used to derive them does not hold.We illustrate how the proposed treatment allocation strategies improve on allocations that ignore the network structure.
Determinants of COVID 19 Vaccine Acceptance among Healthcare Workers in Penang
Creators: name: Gunenthira Rao
name: Suria, Anu
Publisher: name: Zenodo
Year: 2021
Subjects: determinants
COVID-19
vaccine
Healthcare Workers
Penang
Malaysia

description: Introduction Healthcare workers (HCWs) are the earliest frontlines to be vaccinated compared to the general population. Their acceptance and recommendation may influence general populations to eventually accept the vaccine and subsequently combat the COVID-19 pandemic. However, the paucity of local data and vaccine acceptance among HCWs remains poorly understood. Therefore in this study, we sought to determine the acceptance of COVID-19 vaccines among HCWs in Penang. Methodology This survey is a cross-sectional study conducted among government HCWs in Penang using a cross-sectional design. Online Google Form was used to design an online self-administered questionnaire and it was disseminated through WhatsApp using both convenient and snowballing sampling techniques. The questionnaire which was adopted underwent validity and reliability testing. The dependent variable was vaccine acceptance. Data were analyzed using descriptive, bivariate, and multivariate analyses using SPSS. Results Out of the 4760 HCW who completed the online survey, 4623 (97.1%) HCW indicated acceptance of COVID-19 vaccine. Determinants of COVID-19 vaccine acceptance are good COVID-19 practice (AOR=5.160,95%Cl=2.100-12.680,p=<0.01), tertiary education attainment (AOR=1.859, 95%Cl=1.246-2.772, p=0.002), good COVID-19 knowledge (AOR=1.853, 95%Cl = 1.183-2.903, p=0.007), clinical category HCW (AOR=1.699,95%Cl=1.039-2.778,p=0.035) and history of being swabbed for COVID-19 (AOR=1.676,95%Cl=1.183-2.374,p=0.04). Factors for refusal included vaccine novelty, safety, side-effects, religious and others. Discussion / Conclusion This study shows high acceptance of the COVID-19 vaccine amongst HCWs which would provide useful information to plan future interventions and improve COVID-19 acceptance. In the meantime, the reason for vaccine refusal needs to be further explored to tailor communications and promotion campaigns to increase vaccine acceptance. [Disclaimer: Abstract text might vary slightly from what is displayed in the e-poster]
description: This poster was submitted to the 14th National Conference for Clinical Research (NCCR) in August 18-20, 2021. https://nccrconference.com.my/
Mechanisms of low susceptibility to the disinfectant benzalkonium chloride in a multidrug-resistant environmental isolate of Aeromonas hydrophila
Creators: name: Chacón, Luz
name: Kuropka, Benno
name: González-Tortuero, Enrique
name: Schreiber, Frank
name: Rojas-Jiménez, Keilor
name: Rodríguez-Rojas, Alexandro
Publisher: name: Freie Universität Berlin
Year: 2023
Subjects: subject: benzalkonium chloride
subject: wastewater
subject: biocide
subject: quaternary ammonium disinfectants
subject: low- susceptibility
subject: primary response
subject: 500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
subject: 500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::579 Mikroorganismen, Pilze, Algen

description: Excessive discharge of quaternary ammonium disinfectants such as benzalkonium chloride (BAC) into aquatic systems can trigger several physiological responses in environmental microorganisms. In this study, we isolated a less-susceptible strain of Aeromonas hydrophila to BAC, designated as INISA09, from a wastewater treatment plant in Costa Rica. We characterized its phenotypic response upon exposure to three different concentrations of BAC and characterized mechanisms related to its resistance using genomic and proteomic approaches. The genome of the strain, mapped against 52 different sequenced A. hydrophila strains, consists of approximately 4.6 Mb with 4,273 genes. We found a massive genome rearrangement and thousands of missense mutations compared to the reference strain A. hydrophila ATCC 7966. We identified 15,762 missense mutations mainly associated with transport, antimicrobial resistance, and outer membrane proteins. In addition, a quantitative proteomic analysis revealed a significant upregulation of several efflux pumps and the downregulation of porins when the strain was exposed to three BAC concentrations. Other genes related to membrane fatty acid metabolism and redox metabolic reactions also showed an altered expression. Our findings indicate that the response of A. hydrophila INISA09 to BAC primarily occurs at the envelop level, which is the primary target of BAC. Our study elucidates the mechanisms of antimicrobial susceptibility in aquatic environments against a widely used disinfectant and will help better understand how bacteria can adapt to biocide pollution. To our knowledge, this is the first study addressing the resistance to BAC in an environmental A. hydrophila isolate. We propose that this bacterial species could also serve as a new model to study antimicrobial pollution in aquatic environments.
The holography of boundaries in quantum gravity
Creators: name: Shashi, Sanjit
name: 0000-0002-4856-5890
Publisher: name: The University of Texas at Austin
Year: 2023
Subjects: Quantum gravity
Holographic correspondence
Boundaries
Black holes

description: Duality is a pervasive concept in the study of quantum gravity and string theory. One particularly profound manifestation of this idea is "holographic" duality relating quantum gravity in d+1 dimensions to quantum field theory in d dimensions, with the most concrete example being the anti-de Sitter (AdS)/conformal field theory (CFT) correspondence. Guided by AdS/CFT, we explore the holographic interpretation of boundaries in conformal field theory. We demonstrate how various gravitational constructs and physics in AdS can be associated with specific boundary data in CFT. We also discuss some recent applications of holographic boundaries to longstanding questions in semiclassical quantum gravity regarding the black-hole information paradox and the role of Euclidean wormholes in the path integral.
What should peer counselors be able and allowed to do? : a Delphi consensus study
Creators: name: Caporale-Berkowitz, Norian
name: 0000-0002-0311-5300
Publisher: name: The University of Texas at Austin
Year: 2023
Subjects: Peer counseling
Delphi
Mental health
Innovation

description: The severity and prevalence of mental health issues are steadily rising. Most people in need of treatment do not receive it. These problems can be mitigated by training a large volume of people to provide peer counseling, thus “crowdsourcing” the provision of mental health services. Peer counseling is effective because self-disclosure is highly therapeutic. Many benefits of therapy also derive from interpersonal factors, such as therapeutic alliance and positive regard, which can be taught to nonprofessionals. Despite these benefits, peer counseling is not yet a widespread practice and there is little clarity as to the boundaries between peer and traditional counseling. The present study uses the Delphi methodology to assess expert opinions on the types of clients peer counselors should be able to see and the skills peer counselors should be able to use. Three stakeholder groups were surveyed: U.S. state psychology board members (who define the bounds of the profession), psychotherapy process researchers (who know what makes therapy effective), and experienced peer counselors (who are most familiar with the peer counseling role). Findings provide insights as to how the field of psychology may react to disruptive innovation from peer counseling services. Study results also shed light on the ideal niche peer counselors should occupy in the landscape of mental health services, which may have the potential to catalyze more widespread dissemination of peer counseling practice.
Composable Prompting Workspaces for Creative Writing: Exploration and Iteration Using Dynamic Widgets
Creators: name: Amin, Rifat Mehreen
name: Kühle, Oliver Hans
name: Buschek, Daniel
name: Butz, Andreas
Publisher: name: arXiv
Year: 2025
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences
subject: H.5.2; I.2.7

description: Generative AI models offer many possibilities for text creation and transformation. Current graphical user interfaces (GUIs) for prompting them lack support for iterative exploration, as they do not represent prompts as actionable interface objects. We propose the concept of a composable prompting canvas for text exploration and iteration using dynamic widgets. Users generate widgets through system suggestions, prompting, or manually to capture task-relevant facets that affect the generated text. In a comparative study with a baseline (conversational UI), 18 participants worked on two writing tasks, creating diverse prompting environments with custom widgets and spatial layouts. They reported having more control over the generated text and preferred our system over the baseline. Our design significantly outperformed the baseline on the Creativity Support Index, and participants felt the results were worth the effort. This work highlights the need for GUIs that support user-driven customization and (re-)structuring to increase both the flexibility and efficiency of prompting.
description: 11 pages, 9 figures, 2 tables, ACM CHI 2025 LBW
Maximal X-ray feedback in the pre-reionization universe
Creators: name: Jeon, Junehyoung
name: 0000-0002-6038-5016
Publisher: name: The University of Texas at Austin
Year: 2023
Subjects: Early universe
Dark ages
Reionization
First stars
Intergalactic medium
X-rays
Galaxies

description: X-ray feedback in the pre-reionization Universe provided one of the major energy sources for reionization and the thermal evolution of the early intergalactic medium. However, X-ray sources at high redshift have remained largely inaccessible to observations. One alternative approach to study the overall effect of X-ray feedback in the early Universe is a full cosmological simulation. Toward this goal, in this paper we create an analytic model of X-ray feedback from accretion onto supermassive black holes (SMBHs), to be used as a sub-grid model in future cosmological simulations. Our analytic model provides a relation between the mass of a dark matter halo and the SMBH it hosts, where the efficiency is governed by an energy balance argument between thermal feedback and the confining gravitational potential of the halo. To calibrate the model, we couple the halo-level recipe with the Press-Schechter halo mass function and derive global mass and energy densities. We then compare our model to various observational constraints, such as the resulting soft X-ray and IR cosmic radiation backgrounds, to test our choice of model parameters. We in particular derive model parameters that do not violate any constraints, while providing maximal X-ray feedback prior to reionization. In addition, we consider the contribution of SMBH X-ray sources to reionization and the global 21 cm absorption signal.