cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Proper Orthogonal Descriptors for Efficient and Accurate Interatomic Potentials
Creators: name: Nguyen, Ngoc Cuong
name: Rohskopf, Andrew
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We present the proper orthogonal descriptors for efficient and accuracy representation of the potential energy surface. The potential energy surface is represented as a many-body expansion of parametrized potentials in which the potentials are functions of atom positions and parameters. The Karhunen-Loève (KL) expansion is employed to decompose the parametrized potentials into a set of proper orthogonal descriptors (PODs). Because of the rapid convergence of the KL expansion, relevant snapshots can be sampled exhaustively to represent the atomic neighborhood environment accurately with a small number of descriptors. The proper orthogonal descriptors are used to develop interatomic potentials by using a linear expansion of the descriptors and determining the expansion coefficients from a weighted least-squares regression against a density functional theory (DFT) training set. We present a comprehensive evaluation of the POD potentials on previously published DFT data sets comprising Li, Mo, Cu, Ni, Si, Ge, and Ta elements. The data sets represent a diverse pool of metals, transition metals, and semiconductors. The accuracy of the POD potentials are comparable to that of state-of-the-art machine learning potentials such as the spectral neighbor analysis potential (SNAP) and the atomic cluster expansion (ACE).
description: 37 pages, 8 figures, 5 tables. arXiv admin note: text overlap with arXiv:1906.08888 by other authors
Broad-Angle Multichannel Metagrating Diffusers
Creators: name: Yashno, Yarden
name: Epstein, Ariel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Applied Physics (physics.app-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We present a semianalytical scheme for the design of broad-angle multichannel metagratings (MG), sparse periodic arrangements of loaded conducting strips (meta-atoms), embedded in a multilayer printed circuit board configuration. By judicious choice of periodicity and angles of incidence, scattering off such a MG can be described via a multi-port network, where the input and output ports correspond to different illumination and reflection directions associated with the same set of propagating Floquet-Bloch modes. Since each of these possible scattering scenarios can be modelled analytically, constraints can be conveniently applied on the modal reflection coefficients (scattering matrix entries) to yield a diffusive response, which, when resolved, produce the required MG geometry. We show that by demanding a symmetric MG configuration, the number of independent S parameters can be dramatically reduced, enabling satisfaction of multiple such constraints using a single sparse MG. Without any full-wave optimization, this procedure results in a fabrication-ready layout of a multichannel MG, enabling retroreflection suppression and diffusive scattering from numerous angles of incidence simultaneously. This concept, verified experimentally via a five-channel prototype, offers an innovative solution to both monostatic and bistatic radar cross section reduction, avoiding design and implementation challenges associated with dense metasurfaces used for this purpose.
description: 12 pages, 9 figures
A critical survey of the theory of externalities
Creators: name: Tuan., Nguyen Anh
Publisher: name: Monash University
Year: 2022

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Identifying and elucidating the gut microbiota-brown adipose tissue axis
Creators: name: Longoria, Candace R.
Publisher: name: No Publisher Supplied
Year: 2023

description: The gut microbiota and their associated metabolites are influential regulators of host phenotype and health. Deviations from a host’s normal gut microbiota, or dysbiosis, can alter metabolites produced by gut microbes and contribute to acute or chronic disease states. The gut microbiota is known to actively communicate bidirectionally with adipose depots (and other tissues and organs) through chemical messengers and metabolites. Adipose tissue and its balance within a host plays a critical role in metabolic health and contributes to a successful health span. There are two main types of adipose tissue in mammals: white adipose tissue (WAT) and brown adipose tissues (BAT). These adipose tissues are distinct from each other in anatomical locations, morphologies, gene expression patterns, biochemical features, and physiological functions. Healthful longevity, increased exercise tolerance, and increased BAT are phenotypes identified with the regulator for G protein signaling 14 full-body knockout (RGS14 KO) mouse model phenotype. G protein coupled receptors are found on the plasma membranes of various cell types and, when activated by guanosine triphosphate (GTP), initiate a cascade of signals for biochemical functions. RGS proteins act on bound GTP induce a rapid inactivation of a currently active G protein; by eliminating the RGS14 activity, the GTP remains active unless acted upon by another regulator that is not the RGS14 protein. We hypothesize that RGS14 KO mice harbor a distinct BAT that a) directly mediates metabolic health and b) directly influences microbiota composition. The aim of this dissertation is to identify and elucidate the mechanisms by which BAT communicates bidirectionally with the gut microbiota and mediates metabolic health. BAT from RGS14 KO mice represents the precursor to a new therapeutic modality that will improve exercise performance and protect against metabolic diseases. Identifying and modulating new molecular targets that improve exercise tolerance and healthful aging would be of major significance to the future health of the human population.
Jackiw-Teitelboim gravity and near-extremal BTZ thermodynamics
Creators: name: Poojary, Rohan R.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the near horizon 2d gravity theory which captures the near extremal thermodynamics of BTZ with excess mass $δM$ and excess angular momentum $δJ =\mathcal{L}\, δM$ over extremality. We find that the Jackiw-Teitelboim theory is able to capture such departures from extremality with an additional parameter $\mathcal{L}$ relating it to the near extremal BTZ configuration. We are able to show this by obtaining new simultaneous near horizon near extremal limits of the BTZ geometry parametrized by $\mathcal{L}$. The resulting Jackiw-Teitelboim theory captures the near extremal thermodynamics of such BTZ geometries provided we identify the temperature $T^{(2)}_H$ of the $AdS_2$ geometry in the Jackiw-Teitelboim theory to be $T^{(2)}_H=T_H/(1-μ\,\mathcal{L})$ where $T_H$ is the BTZ temperature and $μ$ its chemical potential with $μ\,\mathcal{L}<1$.
description: published version
Absorption and birefringence study for reduced optical losses in diamond with high NV concentration
Creators: name: Luo, T.
name: Hahl, F. A.
name: Langer, J.
name: Cimalla, V.
name: Lindner, L.
name: Vidal, X.
name: Haertelt, M.
name: Blinder, R.
name: Onoda, S.
name: Ohshima, T.
name: Jeske, J.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: The use of diamond color centers such as the nitrogen-vacancy (NV) center is increasingly enabling quantum sensing and computing applications. Novel concepts like cavity coupling and readout, laser threshold magnetometry and multi-pass geometries allow significantly improved sensitivity and performance via increased signals and strong light fields. Enabling material properties for these techniques and their further improvements are low optical material losses via optical absorption of signal light and low birefringence. Here we study systematically the behavior of absorption around 700 nm and birefringence with increasing nitrogen- and NV-doping, as well as their behavior during NV creation via diamond growth, electron beam irradiation and annealing treatments. Absorption correlates with increased nitrogen-doping yet substitutional nitrogen does not seem to be the direct absorber. Birefringence reduces with increasing nitrogen doping. We identify multiple crystal defect concentrations via absorption spectroscopy and their changes during the material processing steps and thus identify potential causes of absorption and birefringence as well as strategies to fabricate CVD diamonds with high NV density yet low absorption and low birefringence.
description: Accepted by Philosophical Transactions A (DOI: 10.1098/rsta.2022.0314)
Evolution of clusters in energetic heavy ion bombarded amorphous graphite-II: formation and fragmentation phenomena
Creators: name: Qayyum, A.
name: Ahmad, B.
name: Akhtar, M. N.
name: Ahmad, Shoaib
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: A study has been conducted into the mechanisms of evolution of clusters and their subsequent fragmentation under energetic heavy ion bombardment of amorphous graphite. The evolving clusters and their subsequent fragmentation under continuing ion bombardment are revealed by detecting various clusters in the energy spectra of the Direct Recoils emitted as a result of collisions between ions and surface constituents. The successive Direct Recoil spectra reveal that the energetics of Carbon Carbon bond formation as well as any subsequent fragmentation can be related to the processes of energy dissipation in a cylindrical volume of a few Angstrom surrounding the ion path. The dependence of cluster with m carbon atoms formation or its subsequent fragmentation into cluster with m-2 carbon atoms and diatomic carbon C2 is seen to be a function of the ionic stopping powers in this cylindrical volume.
description: 12 pages, 6 figures, 1 table
Accounting for human resources
Creators: name: Snowball, D. A. T.
Publisher: name: Monash University
Year: 2022

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Dressed vs. Pairwise States, and the Geometric Phase of Monopoles and Charges
Creators: name: Csáki, Csaba
name: Dong, Zi-Yu
name: Telem, Ofri
name: Terning, John
name: Yankielowicz, Shimon
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We construct the Faddeev-Kulish dressed multiparticle states of electrically and magnetically charged particles, incorporating the effects of real and virtual soft photons. We calculate the properties of such dressed states under Lorentz transformations, and find that they can be identified with the pairwise multi-particle states that transform under the pairwise little group. The shifts in the dressing factors under Lorentz transformations are finite and have a simple geometric interpretation. Using the transformation properties of the dressed states we also present a novel, fully quantum field theoretic derivation of the geometric (Berry) phase obtained by an adiabatic rotation of the Dirac string, and also of the Dirac quantization condition. For half integer pairwise helcity, we show that these multiparticle states have flipped spin-statistics, reproducing the surprising fact that fermions can be made out of bosons.
Radial-Velocity Fitting Challenge. II. First results of the analysis of the data set
Creators: name: Dumusque, X.
name: Borsa, F.
name: Damasso, M.
name: Diaz, R.
name: Gregory, P. C.
name: Hara, N. C.
name: Hatzes, A.
name: Rajpaul, V.
name: Tuomi, M.
name: Aigrain, S.
name: Anglada-Escude, G.
name: Bonomo, A. S.
name: Boue, G.
name: Dauvergne, F.
name: Frustagli, G.
name: Giacobbe, P.
name: Haywood, R. D.
name: Jones, H. R. A.
name: Pinamonti, M.
name: Poretti, E.
name: Rainer, M.
name: Segransan, D.
name: Sozzetti, A.
name: Udry, S.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Radial-velocity (RV) signals induce RV variations an order of magnitude larger than the signal created by the orbit of Earth-twins, thus preventing their detection. The goal of this paper is to compare the efficiency of the different methods used to deal with stellar signals to recover extremely low-mass planets despite. However, because observed RV variations at the m/s precision level or below is a combination of signals induced by unresolved orbiting planets, by the star, and by the instrument, performing such a comparison using real data is extremely challenging. To circumvent this problem, we generated simulated RV measurements including realistic stellar and planetary signals. Different teams analyzed blindly those simulated RV measurements, using their own method to recover planetary signals despite stellar RV signals. By comparing the results obtained by the different teams with the planetary and stellar parameters used to generate the simulated RVs, it is therefore possible to compare the efficiency of these different methods. The most efficient methods to recover planetary signals {take into account the different activity indicators,} use red-noise models to account for stellar RV signals and a Bayesian framework to provide model comparison in a robust statistical approach. Using the most efficient methodology, planets can be found down to K/N= K_pl/RV_rms*sqrt{N_obs}=5 with a threshold of K/N=7.5 at the level of 80-90% recovery rate found for a number of methods. These recovery rates drop dramatically for K/N smaller than this threshold. In addition, for the best teams, no false positives with K/N > 7.5 were detected, while a non-negligible fraction of them appear for smaller K/N. A limit of K/N = 7.5 seems therefore a safe threshold to attest the veracity of planetary signals for RV measurements with similar properties to those of the different RV fitting challenge systems.
description: 36 pages (including 10 pages of appendix), 23 figures, Accepted in A&A
The 1968 Hungarian reform : market of non-market socialism?
Creators: name: Jolly, Robert.
Publisher: name: Monash University
Year: 2022

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Conical-focusing: Mechanism for singular jetting from collapsing drop-impact craters
Creators: name: Tian, Yuan Si
name: Yang, Zi Qiang
name: Thoroddsen, Sigurður T.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: Fast microjets can emerge out of liquid pools from the rebounding of drop-impact craters, or when a bubble bursts at it surface. The fastest jets are the narrowest and are a source of aerosols both from the ocean and a glass of champagne, of importance to climate and the olfactory senses. The most singular jets, which have a maximum velocity of 137$\pm$4 m/s and diameter of 12 $μ$m under reduced ambient pressure, are produced when a small dimple forms at the crater bottom and rebounds without pinching off a small bubble. The rebounding of this dimple is purely inertial but highly sensitive on initial conditions. High-resolution numerical simulations reveal a new focusing mechanism, which drives the fastest jet within a converging conical channel, where an entrained air-sheet provides effective slip at the outer boundary of the conically converging flow into the jet. This configuration bypasses any viscous cut-off of the jetting speed and explains the extreme sensitivity observed in detailed experiments of the phenomenon.
description: 5 pages, 5 figures. The supplementary file is attached in this link (https://github.com/ZIQIANG059/Supplementary-Material_Cone_Jetting/blob/main/Supplementary%20Material_Cone_Jetting.pdf)
Ziv-Zakai Bound for DOAs Estimation
Creators: name: Zhang, Zongyu
name: Shi, Zhiguo
name: Gu, Yujie
Publisher: name: arXiv
Year: 2022
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Lower bounds on the mean square error (MSE) play an important role in evaluating the direction-of-arrival (DOA) estimation performance. Among numerous bounds for DOA estimation, the local Cramer-Rao bound (CRB) is only tight asymptotically. By contrast, the existing global tight Ziv-Zakai bound (ZZB) is appropriate for evaluating the single source estimation only. In this paper, we derive an explicit ZZB applicable for evaluating hybrid coherent/incoherent multiple sources DOA estimation. It is first shown that, a straightforward generalization of ZZB from single source estimation to multiple sources estimation cannot keep the bound valid in the a priori performance region. To derive a global tight ZZB, we then introduce order statistics to describe the change of the a priori distribution of DOAs caused by ordering process during the MSE calculation. The derived ZZB is for the first time formulated as a function of coherent coefficients between coherent sources, and reveals the relationship between the MSE convergency in the a priori performance region and the number of sources. Moreover, the derived ZZB also provides a unified tight bound for both overdetermined and underdetermined DOA estimation. Simulation results demonstrate the obvious advantages of the derived ZZB over the CRB on evaluating and predicting the estimation performance for multiple sources DOA.
The Spectral Temperature of Optically Thick Outflows with Application to Light Echo Spectra from $η$~Carinae's Giant Eruption
Creators: name: Owocki, Stanley P.
name: Shaviv, Nir J.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The detection by Rest et al. (2012) of light echoes from $η$ Carinae has provided important new observational constraints on the nature of its 1840's era giant eruption. Spectra of the echoes suggest a relatively cool spectral temperature of about 5500K, lower than the lower limit of about 7000K suggested in the optically thick wind outflow analysis of Davidson (1987). This has lead to a debate about the viability of this steady wind model relative to alternative, explosive scenarios. Here we present an updated analysis of the wind outflow model using newer low-temperature opacity tabulations and accounting for the stronger mass loss implied by the $>$10 Msun mass now inferred for the Homunculus. A major conclusion is that, because of the sharp drop in opacity due to free electron recombination for $T
description: 7 pages, 6 figures, submitted to MNRAS
Threats, Opportunities, Weaknesses, and Strengths of The School Management Strategies Used by The Augustinian Recollect (AR) Schools
Creators: name: MANGARIN, JOWENIE
Publisher: name: Zenodo
Year: 2023
Subjects: SWOT Analysis, School Management, Management Strategies, Schools During Pandemic

description: “I hereby grant the GET International Research Journal a nonexclusive, worldwide, royalty-free license to reproduce, publish, and publicly distribute copies of this thesis/dissertation in whatever form subject to the provisions of applicable laws, the provisions of the IPR policy, and any contractual obligations.”

“Specifically, I grant the following rights to GETIRJ:

1. To upload a copy of the work in the thesis database of the college/school/institute/ department and in any other database available on the internet.

2. To publish the work in the college/school/institute/department journal both in print and electronic or digital format and online; and

3. To give open access to the above-mentioned work, thus allowing “fair use” of the work in accordance with the provisions of the Intellectual Property Code of the Philippines (Republic Act No. 8293). Especially for teaching, scholarly, and research purposes”
Analysis of the shortest vector problems with the quantum annealing to search the excited states
Creators: name: Ura, Katsuki
name: Imoto, Takashi
name: Nikuni, Tetsuro
name: Kawabata, Shiro
name: Matsuzaki, Yuichiro
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The shortest vector problem (SVP) is one of the lattice problems and is mathematical basis for the lattice-based cryptography, which is expected to be post-quantum cryptography. The SVP can be mapped onto the Ising problem, which in principle can be solved by quantum annealing (QA). However, one issue in solving the SVP using QA is that the solution of the SVP corresponds to the first excited state of the problem Hamiltonian. Therefore, QA, which searches for ground states, cannot provide a solution with high probability. In this paper, we propose to adopt an excited-state search of the QA to solve the shortest vector problem. We numerically show that the excited-state search provides a solution with a higher probability than the ground-state search.
Methionine-induced hyperhomocysteinemia reverts fibrinolytic pathway activation in a murine model of acute promyelocytic leukemia
Creators: name: Jácomo, Rafael H
name: Santana-Lemos, Barbara A
name: Lima, Ana Silvia G
name: Assis, Patricia A
name: Lange, Ana Paula A
name: Figueiredo-Pontes, Lorena L
name: Oliveira, Luciana O
name: Bassi, Sarah C
name: Benício, Mariana TL
name: Baggio, Márcia S
name: Garcia, Aglair B
name: Falcão, Roberto P
name: Rego, Eduardo M
Publisher: name: American Society of Hematology
Year: 2012

description: AbstractIncreased fibrinolysis is an important component of acute promyelocytic leukemia (APL) bleeding diathesis. APL blasts overexpress annexin II (ANXII), a receptor for tissue plasminogen activator (tPA), and plasminogen, thereby increasing plasmin generation. Previous studies suggested that ANXII plays a pivotal role in APL coagulopathy. ANXII binding to tPA can be inhibited by homocysteine and hyperhomocysteinemia can be induced by L-methionine supplementation. In the present study, we used an APL mouse model to study ANXII function and the effects of hyperhomocysteinemia in vivo. Leukemic cells expressed higher ANXII and tPA plasma levels (11.95 ng/mL in leukemic vs 10.74 ng/mL in wild-type; P = .004). In leukemic mice, administration of L-methionine significantly increased homocysteine levels (49.0 μmol/mL and < 6.0 μmol/mL in the treated and nontreated groups, respectively) and reduced tPA levels to baseline concentrations. The latter were also decreased after infusion of the LCKLSL peptide, a competitor for the ANXII tPA–binding site (11.07 ng/mL; P = .001). We also expressed and purified the p36 component of ANXII in Pichia methanolica. The infusion of p36 in wild-type mice increased tPA and thrombin-antithrombin levels, and the latter was reversed by L-methionine administration. The results of the present study demonstrate the relevance of ANXII in vivo and suggest that methionine-induced hyperhomocysteinemia may reverse hyperfibrinolysis in APL.
Unresolved versus resolved: testing the validity of young simple stellar population models with VLT/MUSE observations of NGC 3603
Creators: name: Kuncarayakti, H.
name: Galbany, L.
name: Anderson, J. P.
name: Krühler, T.
name: Hamuy, M.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: CONTEXT. Stellar populations are the building blocks of galaxies including the Milky Way. The majority, if not all extragalactic studies are entangled with the use of stellar population models given the unresolved nature of their observation. Extragalactic systems contain multiple stellar populations with complex star formation histories. However, their study is mainly based upon the principles of simple stellar populations (SSP). Hence, it is critical to examine the validity of SSP models. AIMS. This work aims to empirically test the validity of SSP models. This is done by comparing SSP models against observations of spatially resolved young stellar population in the determination of its physical properties, i.e. age and metallicity. METHODS. Integral field spectroscopy of a young stellar cluster in the Milky Way, NGC 3603, is used to study the properties of the cluster both as a resolved and unresolved stellar population. The unresolved stellar population is analysed using the H$α$ equivalent width as an age indicator, and the ratio of strong emission lines to infer metallicity. In addition, spectral energy distribution (SED) fitting using STARLIGHT, is used to infer these properties from the integrated spectrum. Independently, the resolved stellar population is analysed using the color-magnitude diagram (CMD) for age and metallicity determination. As the SSP model represents the unresolved stellar population, the derived age and metallicity are put to test whether they agree with those derived from resolved stars. RESULTS. The age and metallicity estimate of NGC 3603 derived from integrated spectroscopy are confirmed to be within the range of those derived from the CMD of the resolved stellar population, including other estimates found in the literature. The result from this pilot study supports the reliability of SSP models for studying unresolved young stellar populations.
description: 9 pages, 5 figures, accepted to A&A
Initial-boundary value problems for coupled systems of time-fractional diffusion equations
Creators: name: Li, Zhiyuan
name: Huang, Xinchi
name: Liu, Yikan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 35K20, 35R30, 35B53

description: This article deals with the initial-boundary value problem for a moderately coupled system of time-fractional diffusion equations. Defining the mild solution, we establish fundamental unique existence, limited smoothing property and long-time asymptotic behavior of the solution, which mostly inherit those of a single equation. Owing to the coupling effect, we also obtain the uniqueness for an inverse problem on determining all the fractional orders by the single point observation of a single component of the solution.
description: 24 pages
Impact of spatially constrained sampling of temporal contact networks on the evaluation of the epidemic risk
Creators: name: Vestergaard, Christian L.
name: Valdano, Eugenio
name: Génois, Mathieu
name: Poletto, Chiara
name: Colizza, Vittoria
name: Barrat, Alain
Publisher: name: arXiv
Year: 2016
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Populations and Evolution (q-bio.PE)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: The ability to directly record human face-to-face interactions increasingly enables the development of detailed data-driven models for the spread of directly transmitted infectious diseases at the scale of individuals. Complete coverage of the contacts occurring in a population is however generally unattainable, due for instance to limited participation rates or experimental constraints in spatial coverage. Here, we study the impact of spatially constrained sampling on our ability to estimate the epidemic risk in a population using such detailed data-driven models. The epidemic risk is quantified by the epidemic threshold of the susceptible-infectious-recovered-susceptible model for the propagation of communicable diseases, i.e. the critical value of disease transmissibility above which the disease turns endemic. We verify for both synthetic and empirical data of human interactions that the use of incomplete data sets due to spatial sampling leads to the underestimation of the epidemic risk. The bias is however smaller than the one obtained by uniformly sampling the same fraction of contacts: it depends nonlinearly on the fraction of contacts that are recorded and becomes negligible if this fraction is large enough. Moreover, it depends on the interplay between the timescales of population and spreading dynamics.
description: 21 pages, 7 figures
Impact of Covid-19 Pandemic on Water Pollution in Indian Rivers -- A Case Study
Creators: name: Mahadikar, Amardeepak
name: Anand, Krishna
name: Reddy, Chandra S.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: Some of the important critical parameters for assessing the water quality like pH (Hydrogen ion concentration), DO (Dissolved Oxygen), BOD (Biological Oxygen Demand), etc., were monitored at different locations in some major Indian rivers. The results obtained from the study reveals that the critical parameters had increasing values in some monitoring locations, decreasing values, and no variation in values at some other places. It is recommended to have a pH value above 7, higher values of DO, lower values of BOD & FCC (Faecal Coliform Content) for improved water quality. Overall, the water quality improved in most Indian rivers. There was no discharge of industrial wastes, hotels/restaurants wastes, immersing of idols during religious festivals, etc., to the rivers during the COVID-19 lockdown. Therefore, enforcement of strict regulations by the Government of India for disposal of wastes produced from industrial & domestic activities can significantly reduce the water pollution levels in the Indian rivers.
description: 5 pages, 7 figures, 8 tables
Basis Tensor Gauge Theory
Creators: name: Chung, Daniel J. H.
name: Lu, Ran
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We reformulate gauge theories in analogy with the vierbein formalism of general relativity. More specifically, we reformulate gauge theories such that their gauge dynamical degrees of freedom are local fields that transform linearly under the dual representation of the charged matter field. These local fields, which naively have the interpretation of non-local operators similar to Wilson lines, satisfy constraint equations. A set of basis tensor fields are used to solve these constraint equations, and their field theory is constructed. A new local symmetry in terms of the basis tensor fields is used to make this field theory local and maintain a Hamiltonian that is bounded from below. The field theory of the basis tensor fields is what we call the basis tensor gauge theory.
description: 25 pages
PARTICULATE MATTER ON PERFORMANCE IN PROFESSIONAL COUNTER-STRIKE PLAYERS
Creators: name: Hoogeveen, Owen
Publisher: name: Zenodo
Year: 2023
Subjects: environment
economics
AQI
esports
fixed-effect
air pollution

description: Recent medical research has indicated that particulate matter increases blood pressure and stress hormones resulting in an increased feeling of stress. Stress has been proven to increase risk aversion in individuals, which as a result can affect performance, and decision making. My paper will attempt to answer the question: Does air pollution have a significant effect on the performance of professional esport athletes? To study this effect, I will be using professional Counter-Strike: Global Offensive (CS:GO) match outcomes and regressing PM2.5 and AQI on the total number of rounds within a match, and headshot percentage of players. For this to be accurate I will be controlling for variables such as difference in team performance, location, map, and team ranking. My findings provide evidence that PM2.5 and AQI influence total rounds played negatively and have negative effects on Individual Performance. I conclude air quality has a small but significant effect on CS:GO players performance due to research in this paper.
Classification with the pot-pot plot
Creators: name: Pokotylo, Oleksii
name: Mosler, Karl
Publisher: name: arXiv
Year: 2016
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: 62H30, 62G07

description: We propose a procedure for supervised classification that is based on potential functions. The potential of a class is defined as a kernel density estimate multiplied by the class's prior probability. The method transforms the data to a potential-potential (pot-pot) plot, where each data point is mapped to a vector of potentials. Separation of the classes, as well as classification of new data points, is performed on this plot. For this, either the $α$-procedure ($α$-P) or $k$-nearest neighbors ($k$-NN) are employed. For data that are generated from continuous distributions, these classifiers prove to be strongly Bayes-consistent. The potentials depend on the kernel and its bandwidth used in the density estimate. We investigate several variants of bandwidth selection, including joint and separate pre-scaling and a bandwidth regression approach. The new method is applied to benchmark data from the literature, including simulated data sets as well as 50 sets of real data. It compares favorably to known classification methods such as LDA, QDA, max kernel density estimates, $k$-NN, and $DD$-plot classification using depth functions.
description: The Online Appendix is available at https://dl.dropboxusercontent.com/u/61551177/Classification_with_the_pot-pot_plot_Online_Appendix.pdf
Interplay between core and corona from small to large systems
Creators: name: Kanakubo, Yuuka
name: Tachibana, Yasuki
name: Hirano, Tetsufumi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Nuclear Theory (nucl-th)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: We present new results in $p$+$p$ and Pb+Pb collisions at the LHC energies from the updated dynamical core--corona initialization framework (DCCI2). The fractions of final hadron yields originating from equilibrated and non-equilibrated components are extracted as functions of multiplicity. We find that the contributions from non-equilibrated components are non-negligible even in Pb+Pb collisions and affect $p_T$-integrated multi-particle correlations. These suggest the importance of non-equilibrated components for the sophisticated extraction of properties of the quark gluon plasma from comparisons between dynamical frameworks and experimental data.
description: 4 pages, 2 figures, contribution to the proceedings of the 20th International Conference on Strangeness in Quark Matter (SQM2022)
Interlayer Resistance of Misoriented MoS2
Creators: name: Zhou, Kuan
name: Wickramaratne, Darshana
name: Ge, Supeng
name: Su, Shanshan
name: De, Amrit
name: Lake, Roger K.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Interlayer misorientation in transition metal dichalcogenides alters the interlayer distance, the electronic band structure, and the vibrational modes, but, its effect on the interlayer resistance is not known. This work analyzes the coherent interlayer resistance of misoriented 2H-MoS2 for low energy electrons and holes as a function of the misorientation angle. The electronic interlayer resistance monotonically increases with the supercell lattice constant by several orders of magnitude similar to that of misoriented bilayer graphene. The large hole coupling gives low interlayer hole resistance that weakly depends on the misorientation angle. Interlayer rotation between an n-type region and a p-type region will suppress the electron current with little effect on the hole current. We estimate numerical bounds and explain the results in terms of the orbital composition of the bands at high symmetry points. Density functional theory calculations provide the interlayer coupling used in both a tunneling Hamiltonian and a non-equilibrium Green function calculation of the resistivity.
description: 6 pages, 3 figures
Renormalization-group flow of the effective action of cosmological large-scale structures
Creators: name: Floerchinger, Stefan
name: Garny, Mathias
name: Tetradis, Nikolaos
name: Wiedemann, Urs Achim
Publisher: name: arXiv
Year: 2016
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Following an approach of Matarrese and Pietroni, we derive the functional renormalization group (RG) flow of the effective action of cosmological large-scale structures. Perturbative solutions of this RG flow equation are shown to be consistent with standard cosmological perturbation theory. Non-perturbative approximate solutions can be obtained by truncating the a priori infinite set of possible effective actions to a finite subspace. Using for the truncated effective action a form dictated by dissipative fluid dynamics, we derive RG flow equations for the scale dependence of the effective viscosity and sound velocity of non-interacting dark matter, and we solve them numerically. Physically, the effective viscosity and sound velocity account for the interactions of long-wavelength fluctuations with the spectrum of smaller-scale perturbations. We find that the RG flow exhibits an attractor behaviour in the IR that significantly reduces the dependence of the effective viscosity and sound velocity on the input values at the UV scale. This allows for a self-contained computation of matter and velocity power spectra for which the sensitivity to UV modes is under control.
description: In revised version, affiliations corrected
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning
Creators: name: Fang, Si-Guo
name: Huang, Dong
name: Cai, Xiao-Sha
name: Wang, Chang-Dong
name: He, Chaobo
name: Tang, Yong
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Although previous graph-based multi-view clustering algorithms have gained significant progress, most of them are still faced with three limitations. First, they often suffer from high computational complexity, which restricts their applications in large-scale scenarios. Second, they usually perform graph learning either at the single-view level or at the view-consensus level, but often neglect the possibility of the joint learning of single-view and consensus graphs. Third, many of them rely on the k-means for discretization of the spectral embeddings, which lack the ability to directly learn the graph with discrete cluster structure. In light of this, this paper presents an efficient multi-view clustering approach via unified and discrete bipartite graph learning (UDBGL). Specifically, the anchor-based subspace learning is incorporated to learn the view-specific bipartite graphs from multiple views, upon which the bipartite graph fusion is leveraged to learn a view-consensus bipartite graph with adaptive weight learning. Further, the Laplacian rank constraint is imposed to ensure that the fused bipartite graph has discrete cluster structures (with a specific number of connected components). By simultaneously formulating the view-specific bipartite graph learning, the view-consensus bipartite graph learning, and the discrete cluster structure learning into a unified objective function, an efficient minimization algorithm is then designed to tackle this optimization problem and directly achieve a discrete clustering solution without requiring additional partitioning, which notably has linear time complexity in data size. Experiments on a variety of multi-view datasets demonstrate the robustness and efficiency of our UDBGL approach. The code is available at https://github.com/huangdonghere/UDBGL.
description: Accepted by IEEE Transactions on Neural Networks and Learning Systems
A critical survey of reported accounting practices used in the extractive industry
Creators: name: Heazlewood, C. T.
Publisher: name: Monash University
Year: 2022

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
On the Muskat flow
Creators: name: Pruess, Jan
name: Simonett, Gieri
Publisher: name: arXiv
Year: 2016
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: Of concern is the motion of two fluids separated by a free interface in a porous medium, where the velocities are given by Darcy's law. We consider the case with and without phase transition. It is shown that the resulting models can be understood as purely geometric evolution laws, where the motion of the separating interface depends in a non-local way on the mean curvature. It turns out that the models are volume preserving and surface area reducing, the latter property giving rise to a Lyapunov function. We show well-posedness of the models, characterize all equilibria, and study the dynamic stability of the equilibria. Lastly, we show that solutions which do not develop singularities exist globally and converge exponentially fast to an equilibrium.
description: 15 pages
From Kardar-Parisi-Zhang scaling to explosive desynchronization in arrays of limit-cycle oscillators
Creators: name: Lauter, Roland
name: Mitra, Aditi
name: Marquardt, Florian
Publisher: name: arXiv
Year: 2016
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We study the synchronization physics of 1D and 2D oscillator lattices subject to noise and predict a dynamical transition that leads to a sudden drastic increase of phase diffusion. Our analysis is based on the widely applicable Kuramoto-Sakaguchi model, with local couplings between oscillators. For smooth phase fields, the time evolution can initially be described by a surface growth model, the Kardar-Parisi-Zhang (KPZ) theory. We delineate the regime in which one can indeed observe the universal KPZ scaling in 1D lattices. For larger couplings, both in 1D and 2D, we observe a stochastic dynamical instability that is linked to an apparent finite-time singularity in a related KPZ lattice model. This has direct consequences for the frequency stability of coupled oscillator lattices, and it precludes the observation of non-Gaussian KPZ-scaling in 2D lattices.
description: 9 pages, 5 figures
Heavy-flavor meson and baryon production in high-energy nucleus-nucleus collisions
Creators: name: Beraudo, Andrea
name: De Pace, Arturo
name: Alfonso, Daniel Pablos
name: Prino, Francesco
name: Monteno, Marco
name: Nardi, Marzia
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Experiment (nucl-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We present a new model for the description of heavy-flavor hadronization in relativistic heavy-ion collisions. We explore its effect on the charmed hadron yields and kinematic distributions once the latter is applied at the end of transport calculations used to simulate the propagation of heavy quarks in the deconfined fireball produced in the collision. The model is based on the formation of color-singlet clusters through the recombination of charm quarks with light antiquarks or diquarks from the same fluid cell. This local mechanism of color neutralization leads to a strong space-momentum correlation, which provides a substantial enhancement of charmed baryon production and of the collective flow of all charmed hadrons.
description: SQM 2022 proceedings
AN EVALUATION OF MMPI-2 SCALES AS PREDICTORS OF SUITABILITY DECISIONS IN POLICE PRE-EMPLOYMENT PSYCHOLOGICAL EVALUATIONS
Creators: name: Insley, Danielle
Publisher: name: Zenodo
Year: 2023
Subjects: police
candidate
psychological evaluation
personnel selection
suitability
POST dimensions

description: In recent years, the police pre-employment psychological evaluation process has progressed from psychologists primarily assessing candidates for indicators of psychopathology (i.e., psychological stability) to also assessing candidates for ideal traits for a position in law enforcement (i.e., psychological suitability). The Minnesota Multiphasic Personality Inventory-2 (MMPI-2) has a long history of use in assessing psychological stability but, given its focus on psychopathology, less is known about the MMPI’s ability to assess for psychological suitability. The publication of the California Peace Officer Standards and Training (POST) Psychological Screening Dimensions, a set of 10 traits determined to be most desirable for police officers, has led to investigations into whether the MMPI scales relate to these dimensions. Some evidence has been found to relate scale elevations with later job-related problems; however, no research has investigated how psychologists consider elevations on the MMPI scales alongside each of the POST dimensions to guide decisions about candidate suitability. The present study used data from 737 pre-employment psychological evaluations to investigate relations between MMPI-2 scale elevations and psychologists’ indicated concerns on each of the POST dimensions, as well as final outcome decisions (i.e., qualify or disqualify). Quantitative analyses revealed psychologists referenced elevations on the Restructured Clinical (RC) Scales over the Basic Clinical and Validity Scales when considering the POST dimensions and when making outcome decisions, and that scale Low Positive Emotions (RC2) was the most influential of the RC Scales. However, while not relevant for current use in the field, the MMPI-2 Basic Clinical Scale Psychasthenia (Pt) had the strongest associations with the POST dimensions. Findings from a binary logistic regression also revealed these scales alone did not account for a large portion of variance in making decisions to disqualify candidates from a position in law enforcement.
The first 15 years of the Cognitive Behaviour Therapist: A protocol for a systematic bibliometric review
Creators: name: Freeston, Mark
name: Thwaites, Richard
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Medicine and Health Sciences
subject: Social and Behavioral Sciences
subject: Cognitive Behaviour Therapy

description: the Cognitive Behaviour Therapist (tCBT) is an interdisciplinary, peer-reviewed, online practitioner journal for CBT therapists, supervisors, and trainers. it is managed and published by Cambridge University Press for the British Association for Behavioural & Cognitive Psychotherapies. It features a range of papers, including practice-focused articles detailing clinical interventions, research reports concerning the practice of cognitive behaviour therapy, case reports, audits relevant to practice, and reviews of clinical scales. The journal also publishes papers with an education, training, or supervision focus, as well as literature reviews directly relevant to CBT practitioners. The first volume of tCBT was published in 2008; the 2022 volume represents the fifteenth. The aim of this review is to track the journal’s development, growth, spread, interest and impact over the first 15 years.