cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Additional file 2 of Apicoplast ribosomal protein S10-V127M enhances artemisinin resistance of a Kelch13 transgenic Plasmodium falciparum
Creators: name: Kampoun, Tanyaluck
name: Srichairatanakool, Somdet
name: Prommana, Parichat
name: Shaw, Philip J.
name: Green, Judith L.
name: Knuepfer, Ellen
name: Holder, Anthony A.
name: Uthaipibull, Chairat
Publisher: name: figshare
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 2: Table S2. The sequences of designed elements (HR1-Recodonized part-HR2) of therepair plasmids for each mutagenesis.
Stable Object Reorientation using Contact Plane Registration
Creators: name: Li, Richard
name: Esteves, Carlos
name: Makadia, Ameesh
name: Agrawal, Pulkit
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: We present a system for accurately predicting stable orientations for diverse rigid objects. We propose to overcome the critical issue of modelling multimodality in the space of rotations by using a conditional generative model to accurately classify contact surfaces. Our system is capable of operating from noisy and partially-observed pointcloud observations captured by real world depth cameras. Our method substantially outperforms the current state-of-the-art systems on a simulated stacking task requiring highly accurate rotations, and demonstrates strong sim2real zero-shot transfer results across a variety of unseen objects on a real world reorientation task. Project website: \url{https://richardrl.github.io/stable-reorientation/}
description: 7 pages, 1 additional page for references
Anomalous Heating and Plasmoid Formation in a Driven Magnetic Reconnection Experiment
Creators: name: Hare, J. D.
name: Suttle, L.
name: Lebedev, S. V.
name: Loureiro, N. F.
name: Ciardi, A.
name: Burdiak, G. C.
name: Chittenden, J. P.
name: Clayson, T.
name: Garcia, C.
name: Niasse, N.
name: Robinson, T.
name: Smith, R. A.
name: Stuart, N.
name: Suzuki-Vidal, F.
name: Swadling, G. F.
name: Ma, J.
name: Wu, J.
name: Yang, Q.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: We present a detailed study of magnetic reconnection in a quasi-two-dimensional pulsed-power driven laboratory experiment. Oppositely directed magnetic fields $(B=3$ T), advected by supersonic, sub-Alfvénic carbon plasma flows $(V_{in}=50$ km/s), are brought together and mutually annihilate inside a thin current layer ($δ=0.6$ mm). Temporally and spatially resolved optical diagnostics, including interferometry, Faraday rotation imaging and Thomson scattering, allow us to determine the structure and dynamics of this layer, the nature of the inflows and outflows and the detailed energy partition during the reconnection process. We measure high electron and ion temperatures $(T_e=100$ eV, $T_i=600$ eV), far in excess of what can be attributed to classical (Spitzer) resistive and viscous dissipation. We observe the repeated formation and ejection of plasmoids, which we interpret as evidence of two-fluid effects in our experiment.
description: Accepted for publication in PRL, expected 17th Febuary 2017. 6 pages, 5 figures
de Haas van Alphen oscillations in hybridization-gap insulators as a sudden change in the diamagnetic moment of Landau levels
Creators: name: Julian, S. R.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: This note revisits the semi-classical theory of quantum oscillations in hybridization-gap insulators, and shows that the physical origin of the oscillations, at $T=0$ K, is a sudden change in the diamagnetic moment of each Landau level as it crosses the hybridized region of the valence band.
description: 11 pages (preprint format) with 3 figures, submitted to the Canadian Journal of Physics
Deleting digits
Creators: name: Baoulina, Ioulia N.
name: Kreh, Martin
name: Steuding, Jörn
Publisher: name: arXiv
Year: 2016
Subjects: subject: Number Theory (math.NT)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 11A63, 05A05, 00A08, 97A20

description: In 2000, J. Shallit introduced a special partial ordering of a subset of positive integers and proposed the problem of finding the set of minimal elements with respect to this ordering. Shallit himself solved this problem for the set of primes and also for the set of composite numbers. In this recreational mathematics note, we compute the minimal sets of a few other arithmetically interesting sets and discuss questions on size and shape of minimal sets in general.
description: 8 pages; corrections in Theorem 5 and its proof
ANI-1: An extensible neural network potential with DFT accuracy at force field computational cost
Creators: name: Smith, Justin S.
name: Isayev, Olexandr
name: Roitberg, Adrian E.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Deep learning is revolutionizing many areas of science and technology, especially image, text and speech recognition. In this paper, we demonstrate how a deep neural network (NN) trained on quantum mechanical (QM) DFT calculations can learn an accurate and fully transferable potential for organic molecules. We introduce ANAKIN-ME (Accurate NeurAl networK engINe for Molecular Energies) or ANI in short. ANI is a new method and procedure for training neural network potentials that utilizes a highly modified version of the Behler and Parrinello symmetry functions to build single-atom atomic environment vectors as a molecular representation. We utilize ANI to build a potential called ANI-1, which was trained on a subset of the GDB databases with up to 8 heavy atoms to predict total energies for organic molecules containing four atom types: H, C, N, and O. To obtain an accelerated but physically relevant sampling of molecular potential surfaces, we also propose a Normal Mode Sampling (NMS) method for generating molecular configurations. Through a series of case studies, we show that ANI-1 is chemically accurate compared to reference DFT calculations on much larger molecular systems (up to 54 atoms) than those included in the training data set, with root mean square errors as low as 0.56 kcal/mol.
Comparing the effect of clofibrate and phenobarbital on the newborns with hyperbilirubinemia
Creators: name: Hamidi, Majid
name: Mesripour, Azadeh
name: Zamanzad, Behnam
Publisher: name: Technische Universität Dortmund
Year: 2013
Subjects: subject: hyperbilirubinemia
subject: jaundice
subject: non-hemolytic
subject: phototherapy
subject: 610

description: The aim of treating hyperbilirubinemia is preventing the serum bilirubin to reach neurotoxic levels, which is done by phototherapy or blood transfusion. However, pharmacological treatments still remain vague. Therefore the effects of adding either clofibrate or phenobarbital on treatment outcomes was evaluated in icteric non-hemolitic newborns. Ninety neonates were divided in three groups. Two groups were prescribed 100 mg/kg clofibrate or 5 mg/kg phenobarbital orally as single dose on arrival, in addition to phototherapy. The control group only received phototherapy. Serum bilirubin was evaluated at the reception and 12, 24, 48 and 72 hours after beginning of drug therapy. Total bilirubin levels decreased in treated groups compared with the control group in all samples taken (12, 24, 48 and 72 hours). Clofibrate effect in decreasing bilirubin level was more prominent (14 % and 32 % after 12 and 72 h respectively). In addition duration of hospitalization and length of phototherapy decreased in clofibrate and phenobarbital groups compared with control group (1.5, 2 days respectively, vs. 2.6 days). Therefore using clofibrate and phenobarbital in icteric neonates are supportive not only by decreasing the serum bilirubin level, but also by lessening the duration of hospitalization and phototherapy. Thus in addition to cost benefits for the patient these drugs can reduce the risks of transfusion, and clofibrate seems more promising in this regard.
description: EXCLI Journal ; Vol. 12, 2013
Superconductivity in FeSe thin films driven by the interplay between nematic fluctuations and spin-orbit coupling
Creators: name: Kang, Jian
name: Fernandes, Rafael M.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The origin of the high-temperature superconducting state observed in FeSe thin films, whose phase diagram displays no sign of magnetic order, remains a hotly debated topic. Here we investigate whether fluctuations arising due to the proximity to a nematic phase, which is observed in the phase diagram of this material, can promote superconductivity. We find that nematic fluctuations alone promote a highly degenerate pairing state, in which both $s$-wave and $d$-wave symmetries are equally favored, and $T_{c}$ is consequently suppressed. However, the presence of a sizable spin-orbit coupling or inversion symmetry-breaking at the film interface lifts this harmful degeneracy and selects the $s$-wave state, in agreement with recent experimental proposals. The resulting gap function displays a weak anisotropy, which agrees with experiments in monolayer FeSe and intercalated Li$_{1-x}$(OH)$_{x}$FeSe.
description: 4 pages, 4 figures + supplementary material, to be published in Phys. Rev. Lett
In the claim of the father : a critique in theory and studio practice of the convention of patriarchy by the deconstruction of the system of codes that it operates by
Creators: name: Smith, Bradley .
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.
SPT-NRTL: A physics-guided machine learning model to predict thermodynamically consistent activity coefficients
Creators: name: Winter, Benedikt
name: Winter, Clemens
name: Esper, Timm
name: Schilling, Johannes
name: Bardow, André
Publisher: name: arXiv
Year: 2022
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The availability of property data is one of the major bottlenecks in the development of chemical processes, often requiring time-consuming and expensive experiments or limiting the design space to a small number of known molecules. This bottleneck has been the motivation behind the continuing development of predictive property models. For the property prediction of novel molecules, group contribution methods have been groundbreaking. In recent times, machine learning has joined the more established property prediction models. However, even with recent successes, the integration of physical constraints into machine learning models remains challenging. Physical constraints are vital to many thermodynamic properties, such as the Gibbs-Duhem relation, introducing an additional layer of complexity into the prediction. Here, we introduce SPT-NRTL, a machine learning model to predict thermodynamically consistent activity coefficients and provide NRTL parameters for easy use in process simulations. The results show that SPT-NRTL achieves higher accuracy than UNIFAC in the prediction of activity coefficients across all functional groups and is able to predict many vapor-liquid-equilibria with near experimental accuracy, as illustrated for the exemplary mixtures water/ethanol and chloroform/n-hexane. To ease the application of SPT-NRTL, NRTL-parameters of 100 000 000 mixtures are calculated with SPT-NRTL and provided online.
description: NRTL parameters for 100 000 000 are currently hosted here: https://polybox.ethz.ch/index.php/s/unM7rbgj2FQPFdy
Estimation of imprints of the bounce in loop quantum cosmology on the bispectra of cosmic microwave background
Creators: name: K, Roshna
name: Sreenath, V.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Primordial non-Gaussianity has set strong constraints on models of the early universe. Studies have shown that Loop Quantum Cosmology (LQC), which is an attempt to extend inflationary scenario to planck scales, leads to a strongly scale dependent and oscillatory non-Gaussianity. In particular, the non-Gaussianity function $f_{_{\rm NL}} (k_1,\, k_2,\, k_3)$ generated in LQC, though similar to that generated during slow roll inflation at small scales, is highly scale dependent and oscillatory at long wavelengths. In this work, we investigate the imprints of such a primordial bispectrum in the bispectrum of Cosmic Microwave Background (CMB). Inspired by earlier works, we propose an analytical template for the primordial bispectrum in LQC. We write the template as a sum of strongly scale dependent and oscillatory part, which captures the contribution due to the bounce, and a part which captures the scale invariant behaviour similar to that of slow roll. We then compute the reduced bispectra of temperature and electric polarisation and their three-point cross-correlations corresponding to these two parts. We show that the contribution from the bounce to the reduced bispectrum is negligible compared to that from the scale-independent part. Thus, we conclude that the CMB bispectra generated in LQC will be similar to that generated in slow roll inflation. We conclude with a discussion of our results and its implications to LQC.
description: v1:17 pages, 8 figures; v2: 23 pages, 9 figures, improved template of bispectrum, new subsections added, version accepted for publication in JCAP
Determinants of Non-Performing Loans: The Case of the Ethiopian Commercial Banks
Creators: name: Meshesha, Gebru
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2015

description: Loans and advances form a greater portion of the total assets in banks. These assets generate huge interest income for banks which to a large extent determine the financial performance of banks. However, some of these loans usually fall into non-performing status and adversely affect the performance of banks. In view of the critical role banks play in an economy, it is essential to identify problems that affect the performance of these institutions. Non-performing loans is one of these problems. Therefore, a research on determinants of non-performing loans, the case of Ethiopian Commercial banks was conducted on twelve banks. The research seeks to find out the determinants of non-performing loans in the Ethiopian commercial banks. Structured questionnaire was used to collect data for the study from both private and state-owned banks. The study found that poor credit analysis and unsound lending practices, lack of focused loan monitoring and follow-up, lenient credit terms and conditions, compromised integrity, and fund diversion as the major factors that contribute to loan default. Thus, it is suggested that banks should put in place a vibrant credit process that ensures proper customer selection, robust credit analysis, proactive monitoring, ethical standards, and prudent application of polices that govern bank loans. Key words: Non Performing Loans (NPLs); Credit Analysis, Credit Process
Citation Analysis with Microsoft Academic
Creators: name: Hug, Sven E.
name: Ochsner, Michael
name: Braendle, Martin P.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Digital Libraries (cs.DL)
subject: FOS: Computer and information sciences

description: We explore if and how Microsoft Academic (MA) could be used for bibliometric analyses. First, we examine the Academic Knowledge API (AK API), an interface to access MA data, and compare it to Google Scholar (GS). Second, we perform a comparative citation analysis of researchers by normalizing data from MA and Scopus. We find that MA offers structured and rich metadata, which facilitates data retrieval, handling and processing. In addition, the AK API allows retrieving frequency distributions of citations. We consider these features to be a major advantage of MA over GS. However, we identify four main limitations regarding the available metadata. First, MA does not provide the document type of a publication. Second, the 'fields of study' are dynamic, too specific and field hierarchies are incoherent. Third, some publications are assigned to incorrect years. Fourth, the metadata of some publications did not include all authors. Nevertheless, we show that an average-based indicator (i.e. the journal normalized citation score; JNCS) as well as a distribution-based indicator (i.e. percentile rank classes; PR classes) can be calculated with relative ease using MA. Hence, normalization of citation counts is feasible with MA. The citation analyses in MA and Scopus yield uniform results. The JNCS and the PR classes are similar in both databases, and, as a consequence, the evaluation of the researchers' publication impact is congruent in MA and Scopus. Given the fast development in the last year, we postulate that MA has the potential to be used for full-fledged bibliometric analyses.
description: preprint
Additional file 3 of Apicoplast ribosomal protein S10-V127M enhances artemisinin resistance of a Kelch13 transgenic Plasmodium falciparum
Creators: name: Kampoun, Tanyaluck
name: Srichairatanakool, Somdet
name: Prommana, Parichat
name: Shaw, Philip J.
name: Green, Judith L.
name: Knuepfer, Ellen
name: Holder, Anthony A.
name: Uthaipibull, Chairat
Publisher: name: figshare
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 3: Fig.S1. Graphscomparing the percentage of the different stages and results of the statisticalanalysis using one-way ANOVA with Dunnett's multiple comparisons test of mock(DMSO), 20 nM DHA and 700 nM DHA treatments. T-S; trophozoite to schizontstage, R; ring stage.
Reducing detection noise of a photon pair in a dispersive medium by controlling its spectral entanglement
Creators: name: Sedziak, Karolina
name: Lasota, Mikołaj
name: Kolenderski, Piotr
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Chromatic dispersion is one of the main limitations to the security of quantum communication protocols that rely on the transmission of single photons in single mode fibers. This phenomenon forces the trusted parties to define longer detection windows to avoid losing signal photons and increases the amount of detection noise that is being registered. In this work, we analyze the effects of chromatic dispersion on a photon pair generated via spontaneous parametric down-conversion and propagating in standard telecommunication fibers. We also present the possibility of reducing the detection noise by manipulating the spectral correlation of the pair. As an example, we show that our results can be used to increase the maximal security distance of a discrete-variable quantum key distribution scheme in which the photon source is located between the legitimate participants of the protocol.
Sorting of multiple molecular species on cell membranes
Creators: name: Piras, A.
name: Floris, E.
name: Dall'Asta, L.
name: Gamba, A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Subcellular Processes (q-bio.SC)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: Eukaryotic cells maintain their inner order by a hectic process of distillation of molecular factors taking place on the surface of their lipid membranes. To understand the properties of this molecular sorting process, a physical model of the process has been recently proposed [arXiv:1811.06760], based on (a) the phase separation of a single, initially dispersed molecular species into spatially localized sorting domains on the lipid membrane, and (b) domain-induced membrane bending leading to the nucleation of submicrometric lipid vesicles, naturally enriched in the molecules of the engulfed sorting domain. The analysis of the model has shown the existence of an optimal region of the parameter space where sorting is most efficient. Here, the model is extended to account for the simultaneous distillation of a pool of distinct molecular species. We find that the mean time spent by sorted molecules on the membrane increases with the heterogeneity of the pool (i.e., the number of distinct molecular species sorted) according to a simple scaling law, and that a large number of distinct molecular species can in principle be sorted in parallel on a typical cell membrane region without significantly interfering with each other. Moreover, sorting is found to be most efficient when the distinct molecular species have comparable homotypic affinities. We also consider how valence (i.e., the average number of interacting neighbors of a molecule in a sorting domain) affects the sorting process, finding that higher-valence molecules can be sorted with greater efficiency than lower-valence molecules.
Phase transitions in large deviations of reset processes
Creators: name: Harris, Rosemary J.
name: Touchette, Hugo
Publisher: name: arXiv
Year: 2016
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We study the large deviations of additive quantities, such as energy or current, in stochastic processes with intermittent reset. Via a mapping from a discrete-time reset process to the Poland-Scheraga model for DNA denaturation, we derive conditions for observing first-order or continuous dynamical phase transitions in the fluctuations of such quantities and confirm these conditions on simple random walk examples. These results apply to reset Markov processes, but also show more generally that subleading terms in generating functions can lead to non-analyticities in large deviation functions of 'compound processes' or 'random evolutions' switching stochastically between two or more subprocesses.
description: 8 pages, 6 figures
Alternative Mechanisms of Electoral Systems for Vibrant Democracy and All Inclusive Representation in Ethiopia
Creators: name: Kahsay, Abraha
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2008

description: Electoral system design is being recognized as one of the key instruments in democracy in changing votes into seats. In Ethiopia since 1991 various elections have been held, and the electoral system in use is the plurality electoral system. The plurality electoral system is a system whereby, a party or a candidate who garnered most of the votes in a constituency is declared as a winner. It distorts the allocation of seats when changing votes into seats, and benefits the bigger parties. The system has the potential danger to produce a minority government as a result of 'manufactured majority' in the legislature, which can generally spell civil strife than democracy. Furthermore, it influences the behaviors of parties negatively in view of the culture of compromise and tolerance, and it is not as inclusive as much as possible to be recommended for such highly diversified and emerging democracy. This paper sets out to show the types of various electoral systems and their consequences. Ethiopia with its federal arrangement and in conjunction with its parliamentary system needs an electoral system that allows more inclusiveness than exclusion, a stable government that sustains credibility and legitimacy, than a government which looses credibility and legitimacy shortly, an electoral system that facilitates for compromises and tolerance than that widens the polarization of the political parties. To foster the democratization process and to redeem from the past backward political culture for a better future this paper argues for the re-thinking and redesign of the electoral system by substantiating with various evidences
NNLO QCD Corrections to t-channel Single Top-Quark Production and Decay
Creators: name: Berger, Edmond L.
name: Gao, Jun
name: Yuan, C. -P.
name: Zhu, Hua Xing
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We present a fully differential next-to-next-to-leading order calculation of t-channel single top-quark production and decay at the LHC under narrow-width approximation and neglecting cross-talk between incoming protons. We focus on the fiducial cross sections at 13 TeV, finding that the next-to-next-to-leading order QCD corrections can reach the level of -6%. The scale variations are reduced to the level of a percent. Our results can be used to improve experimental acceptance estimates and the measurements of the single top-quark production cross section and the top-quark electroweak couplings.
description: 6 pages, 4 figures, version appear on PRD rapid communication
Stabilizing multiple equilibria and cycles with noisy prediction-based control
Creators: name: Braverman, Elena
name: Rodkina, Alexandra
Publisher: name: arXiv
Year: 2022
Subjects: subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: 39A50, 39A30, 93D15 (primary), 37H10, 37H30, 93C55, 39A33 (secondary)

description: Pulse stabilization of cycles with Prediction-Based Control including noise and stochastic stabilization of maps with multiple equilibrium points is analyzed for continuous but, generally, non-smooth maps. Sufficient conditions of global stabilization are obtained. Introduction of noise can relax restrictions on the control intensity. We estimate how the control can be decreased with noise and verify it numerically.
description: 28 pages, 9 figures
Additional file 4 of Apicoplast ribosomal protein S10-V127M enhances artemisinin resistance of a Kelch13 transgenic Plasmodium falciparum
Creators: name: Kampoun, Tanyaluck
name: Srichairatanakool, Somdet
name: Prommana, Parichat
name: Shaw, Philip J.
name: Green, Judith L.
name: Knuepfer, Ellen
name: Holder, Anthony A.
name: Uthaipibull, Chairat
Publisher: name: figshare
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 4: Fig. S2. Sequence analysis demonstratingthe presence of fd-D193Y (upper) and arps10-V127M (lower) alleles in the MRA1240parasite line. The mutant codons are enclosed in thered box, compared with the 3D7 reference line.
Interplay of Structural Chirality, Electron Spin and Topological Orbital in Chiral Molecular Spin Valves
Creators: name: Adhikari, Yuwaraj
name: Liu, Tianhan
name: Wang, Hailong
name: Hua, Zhenqi
name: Liu, Haoyang
name: Lochner, Eric
name: Schlottmann, Pedro
name: Yan, Binghai
name: Zhao, Jianhua
name: Xiong, Peng
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Chirality has been a property of central importance in chemistry and biology for more than a century, and is now taking on increasing relevance in condensed matter physics. Recently, electrons were found to become spin polarized after transmitting through chiral molecules, crystals, and their hybrids. This phenomenon, called chirality-induced spin selectivity (CISS), presents broad application potentials and far-reaching fundamental implications involving intricate interplays among structural chirality, topological states, and electronic spin and orbitals. However, the microscopic picture of how chiral geometry influences electronic spin remains elusive. In this work, via a direct comparison of magnetoconductance (MC) measurements on magnetic semiconductor-based chiral molecular spin valves with normal metal electrodes of contrasting strengths of spin-orbit coupling (SOC), we unambiguously identified the origin of the SOC, a necessity for the CISS effect, given the negligible SOC in organic molecules. The experiments revealed that a heavy-metal electrode provides SOC to convert the orbital polarization induced by the chiral molecular structure to spin polarization. Our results evidence the essential role of SOC in the metal electrode for engendering the CISS spin valve effect. A tunneling model with a magnetochiral modulation of the potential barrier is shown to quantitatively account for the unusual transport behavior. This work hence produces critical new insights on the microscopic mechanism of CISS, and more broadly, reveals a fundamental relation between structure chirality, electron spin, and orbital.
Note on "Quantum superconducting criticality in graphene and topological insulators"
Creators: name: Roy, Bitan
name: Juricic, Vladimir
name: Herbut, Igor F.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We correct our previous conclusion regarding the fate of a charged quantum critical point across the superconducting transition for two dimensional massless Dirac fermion. Within the leading order $ε$ expansion, we now find that the requisite number of four-component Dirac fermion flavors ($N_f$) for the continuous phase transition through a charged critical point is $N_f>18.2699$. For $N_f\geq1/2$, the critical number of bosonic flavors for this transition is significantly reduced as compared to the value determined in the absence of the Dirac fermions in the theory.
description: 2 Pages, 1 Figure: Erratum published in PRB
Brain tumour genetic network signatures of survival
Creators: name: Ruffle, James K
name: Mohinta, Samia
name: Pombo, Guilherme
name: Gray, Robert
name: Kopanitsa, Valeriya
name: Lee, Faith
name: Brandner, Sebastian
name: Hyare, Harpreet
name: Nachev, Parashkev
Publisher: name: arXiv
Year: 2023
Subjects: subject: Genomics (q-bio.GN)
subject: Neurons and Cognition (q-bio.NC)
subject: Tissues and Organs (q-bio.TO)
subject: FOS: Biological sciences

description: Tumour heterogeneity is increasingly recognized as a major obstacle to therapeutic success across neuro-oncology. Gliomas are characterised by distinct combinations of genetic and epigenetic alterations, resulting in complex interactions across multiple molecular pathways. Predicting disease evolution and prescribing individually optimal treatment requires statistical models complex enough to capture the intricate (epi)genetic structure underpinning oncogenesis. Here, we formalize this task as the inference of distinct patterns of connectivity within hierarchical latent representations of genetic networks. Evaluating multi-institutional clinical, genetic, and outcome data from 4023 glioma patients over 14 years, across 12 countries, we employ Bayesian generative stochastic block modelling to reveal a hierarchical network structure of tumour genetics spanning molecularly confirmed glioblastoma, IDH- wildtype; oligodendroglioma, IDH-mutant and 1p/19q codeleted; and astrocytoma, IDH- mutant. Our findings illuminate the complex dependence between features across the genetic landscape of brain tumours, and show that generative network models reveal distinct signatures of survival with better prognostic fidelity than current gold standard diagnostic categories.
description: Main article: 52 pages, 1 table, 7 figures. Supplementary material: 13 pages, 11 supplementary figures
Effects of Online Self-Disclosure on Social Feedback During the COVID-19 Pandemic
Creators: name: Lee, Jooyoung
name: Rajtmajer, Sarah
name: Srivatsavaya, Eesha
name: Wilson, Shomir
Publisher: name: arXiv
Year: 2022
Subjects: subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: We investigate relationships between online self-disclosure and received social feedback during the COVID-19 crisis. We crawl a total of 2,399 posts and 29,851 associated comments from the r/COVID19_support subreddit and manually extract fine-grained personal information categories and types of social support sought from each post. We develop a BERT-based ensemble classifier to automatically identify types of support offered in users' comments. We then analyze the effect of personal information sharing and posts' topical, lexical, and sentiment markers on the acquisition of support and five interaction measures (submission scores, the number of comments, the number of unique commenters, the length and sentiments of comments). Our findings show that: 1) users were more likely to share their age, education, and location information when seeking both informational and emotional support, as opposed to pursuing either one; 2) while personal information sharing was positively correlated with receiving informational support when requested, it did not correlate with emotional support; 3) as the degree of self-disclosure increased, information support seekers obtained higher submission scores and longer comments, whereas emotional support seekers' self-disclosure resulted in lower submission scores, fewer comments, and fewer unique commenters; 4) post characteristics affecting social feedback differed significantly based on types of support sought by post authors. These results provide empirical evidence for the varying effects of self-disclosure on acquiring desired support and user involvement online during the COVID-19 pandemic. Furthermore, this work can assist support seekers hoping to enhance and prioritize specific types of social feedback.
description: Accepted to ACM Transactions on Social Computing
Videobasierte Gestenerkennung in einer intelligenten Umgebung
Creators: name: Richarz, Jan
Publisher: name: Technische Universität Dortmund
Year: 2012
Subjects: subject: Computer-Vision
subject: Dynamische Armgesten
subject: Gestenerkennung
subject: Intelligente Umgebungen
subject: Mehrkamerasystem
subject: Mensch-Maschine-Interaktion
subject: Mustererkennung
subject: Zeigegesten
subject: 004

description: Diese Dissertation umfasst die Konzeption einer berührungslosen und nutzerunabhängigen visuellen Klassifikation von Armgesten anhand ihrer räumlich-zeitlichen Bewegungsmuster mit Methoden der Computer Vision, der Mustererkennung und des maschinellen Lernens. Das Anwendungsszenario ist hierbei ein intelligenter Konferenzraum, der mit mehreren handelsüblichen Kameras ausgerüstet ist. Dieses Szenario stellt aus drei Gründen eine besondere Herausforderung dar: Für eine möglichst intuitive Interaktion ist es erstens notwendig, die Erkennung unabhängig von der Position und Orientierung des Nutzers im Raum zu realisieren. Somit werden vereinfachende Annahmen bezüglich der relativen Positionen von Nutzer und Kamera weitgehend ausgeschlossen. Zweitens wird ein realistisches Innenraumszenario betrachtet, bei dem sich die Umgebungsbedingungen abrupt ändern können und sehr unterschiedliche Blickwinkel der Kameras auftreten. Das erfordert die Entwicklung adaptiver Methoden, die sich schnell an derartige Änderungen anpassen können bzw. in weiten Grenzen dagegen robust sind. Drittens stellt die Verwendung eines nicht synchronisierten Multikamerasystems eine Neuerung dar, die dazu führt, dass während der 3D-Rekonstruktion der Hypothesen aus verschiedenen Kamerabildern besonderes Augenmerk auf den Umgang mit dem auftretenden zeitlichen Versatz gelegt werden muss. Dies hat auch Folgen für die Klassifikationsaufgabe, weil in den rekonstruierten 3D-Trajektorien mit entsprechenden Ungenauigkeiten zu rechnen ist. Ein wichtiges Kriterium für die Akzeptanz einer gestenbasierten Mensch-Maschine-Schnittstelle ist ihre Reaktivität. Daher wird bei der Konzeption besonderes Augenmerk auf die effiziente Umsetzbarkeit der gewählten Methoden gelegt. Insbesondere wird eine parallele Verarbeitungsstruktur realisiert, in der die verschiedenen Kameradatenströme getrennt verarbeitet und die Einzelergebnisse anschließend kombiniert werden. Im Rahmen der Dissertation wurde die komplette Bildverarbeitungspipeline prototypisch realisiert. Sie umfasst unter anderem die Schritte Personendetektion, Personentracking, Handdetektion, 3D-Rekonstruktion der Hypothesen und Klassifikation der räumlich-zeitlichen Gestentrajektorien mit semikontinuierlichen Hidden Markov Modellen (HMM). Die realisierten Methoden werden anhand realistischer, anspruchsvoller Datensätze ausführlich evaluiert. Dabei werden sowohl für die Personen- als auch für die Handdetektion sehr gute Ergebnisse erzielt. Die Gestenklassifikation erreicht Klassifikationsraten von annähernd 90% für neun verschiedene Gesten.
Individual addressing of ion qubits with counter-propagating optical frequency combs
Creators: name: Anikin, Evgeny
name: Akopyan, Lianna A.
name: Popov, Mikhail
name: Suleimen, Yelnury
name: Lakhmanskaya, Olga
name: Lakhmanskiy, Kirill
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We propose a new method of individual single-qubit addressing of linear trapped-ion chains utilizing two ultrastable femtosecond frequency combs. For that, we suggest implementing the single-qubit gates with two counter-propagating frequency combs overlapping on the target ion and causing the AC Stark shift between the qubit levels. With analytical calculations and numerical modeling, we show that the arbitrary single-qubit rotations can be indeed realized using only laser fields propagating along the ion chain. We analyze the error sources for the proposed addressing method and prove that it allows implementing the single-qubit gates with high fidelity.
Evaluación de las Condiciones Higiénico-Sanitarias y Seguridad Microbiológica Durante la Elaboración de Quesos Artesanales de Leche Cruda
Creators: name: Bonilla-Luque, O.
Publisher: name: Zenodo
Year: 2021
Subjects: contamination
regional cheeses

description: MSc Thesis presented at University of Cordoba, Spain. ABSTRACT: The interest of consumers for traditional cheeses has been increasing on the basis of an industrialization of the cheese sector. The evaluation of hygienic-sanitary conditions of these products is essential as microorganisms contributes to their organoleptic properties and authenticity. A microbiological survey was performed in two artisan factories of raw goat milk cheeses, namely A and B, located in Andalusia (Spain), in terms of quality and food safety. The results showed higher total aerobic mesophilic, total coliform, Staphylococcus spp., lactic acid bacteria and yeasts and moulds counts in raw milk provided by factory A, while counts observed in cheeses provided by factory A were lower in comparison with cheeses from factory B. The microbiological evaluation of food-contact surfaces of both producers showed higher microbial loads on conveyor belts, cutters and brine and raw milk tanks, indicating that optimized hygienic and disinfection protocols are needed. In addition, the presence of Staphylococcus aureus strains was confirmed in samples from both factories, elucidating the high incidence of this pathogen on artisan cheeses. Finally, the results obtained in this study are very useful for the identification of risk factors associated with microbial contamination during the production of artisan cheeses.
Analyzing Diffusion as Serial Reproduction
Creators: name: Marjieh, Raja
name: Sucholutsky, Ilia
name: Langlois, Thomas A.
name: Jacoby, Nori
name: Griffiths, Thomas L.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Diffusion models are a class of generative models that learn to synthesize samples by inverting a diffusion process that gradually maps data into noise. While these models have enjoyed great success recently, a full theoretical understanding of their observed properties is still lacking, in particular, their weak sensitivity to the choice of noise family and the role of adequate scheduling of noise levels for good synthesis. By identifying a correspondence between diffusion models and a well-known paradigm in cognitive science known as serial reproduction, whereby human agents iteratively observe and reproduce stimuli from memory, we show how the aforementioned properties of diffusion models can be explained as a natural consequence of this correspondence. We then complement our theoretical analysis with simulations that exhibit these key features. Our work highlights how classic paradigms in cognitive science can shed light on state-of-the-art machine learning problems.
description: 10 pages, 4 figures
Semantics, pranks, and acrobatics : research into the limits of contemporary painting
Creators: name: Ives, Nicholas .
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.
Collisional relaxation in the inhomogeneous Hamiltonian-Mean-Field model: diffusion coefficients
Creators: name: Benetti, Fernanda P. C.
name: Marcos, Bruno
Publisher: name: arXiv
Year: 2016
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Systems of particles with long range interactions present two important processes: first, the formation of out-of-equilibrium quasi-stationary states (QSS), and the collisional relaxation towards Maxwell-Boltzmann equilibrium in a much longer timescale. In this paper, we study the collisional relaxation in the Hamiltonian-Mean-Field model (HMF) using the appropriate kinetic equations for a system of $N$ particles at order $1/N$ : the Landau equation when collective effects are neglected and the Lenard-Balescu equation when they are taken into account. We derive explicit expressions for the diffusion coefficients using both equations for any magnetization, and we obtain analytic expressions for highly clustered configurations. An important conclusion is that in this system collective effects are crucial in order to describe the relaxation dynamics. We compare the diffusion calculated with the kinetic equations with simulations set up to simulate the system with or without collective effects, obtaining a very good agreement between theory and simulations.
description: 15 pages, 10 figures. To be published in Physical Review E
Development and characterisation of high-resolution microcalorimeter detectors for the ECHo-100k experiment
Creators: name: Mantegazzini, Federica
name: Kovac, Neven
name: Enss, Christian
name: Fleischmann, Andreas
name: Griedel, Markus
name: Gastaldo, Loredana
Publisher: name: arXiv
Year: 2023
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: The goal of the ECHo experiment is a direct determination of the absolute scale of the neutrino mass by the analysis of the end-point region of the Ho-163 electron capture (EC) spectrum. The results of the first phase of the experiment, ECHo-1k, have paved the way for the current phase, ECHo-100k, which aims at a sensitivity below 2 eV on the effective electron neutrino mass. In order to reach this goal, a new generation of high-resolution magnetic microcalorimeters with embedded Ho-163 have been developed and characterised. The design has been optimised to meet all the challenging requirements of the ECHo-100k experimental phase, such as excellent energy resolution, wafer scale implantation and multi-chip operation with multiplexing read-out. We present the optimisation studies, the final design of the detector array and the first characterisation studies. The results demonstrate that the detectors fully match and even surpass the requirements for the current experimental phase, ECHo-100k.
The impassioned shepherd : a visual exploration of the pastoral mode
Creators: name: Benwell, Stephen.
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.
title: Das Kerngeschäft Lehre innovativ entwickeln
title: Coaching für Neuberufene
titleType: AlternativeTitle
Creators: name: Linde, Frank
Publisher: name: Hochschuldidaktisches Zentrum der Technischen Universität Dortmund
Year: 2011
Subjects: subject: 370

description: Journal Hochschuldidaktik ; 22. Jahrgang 2011 Heft 2
Nonparametric and Regularized Dynamical Wasserstein Barycenters for Sequential Observations
Creators: name: Cheng, Kevin C.
name: Aeron, Shuchin
name: Hughes, Michael C.
name: Miller, Eric L.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We consider probabilistic models for sequential observations which exhibit gradual transitions among a finite number of states. We are particularly motivated by applications such as human activity analysis where observed accelerometer time series contains segments representing distinct activities, which we call pure states, as well as periods characterized by continuous transition among these pure states. To capture this transitory behavior, the dynamical Wasserstein barycenter (DWB) model of Cheng et al. in 2021 [1] associates with each pure state a data-generating distribution and models the continuous transitions among these states as a Wasserstein barycenter of these distributions with dynamically evolving weights. Focusing on the univariate case where Wasserstein distances and barycenters can be computed in closed form, we extend [1] specifically relaxing the parameterization of the pure states as Gaussian distributions. We highlight issues related to the uniqueness in identifying the model parameters as well as uncertainties induced when estimating a dynamically evolving distribution from a limited number of samples. To ameliorate non-uniqueness, we introduce regularization that imposes temporal smoothness on the dynamics of the barycentric weights. A quantile-based approximation of the pure state distributions yields a finite dimensional estimation problem which we numerically solve using cyclic descent alternating between updates to the pure-state quantile functions and the barycentric weights. We demonstrate the utility of the proposed algorithm in segmenting both simulated and real world human activity time series.
Exotic Topological States with Raman-Induced Spin-Orbit Coupling
Creators: name: Deng, Y.
name: Shi, T.
name: Hu, H.
name: You, L.
name: Yi, S.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We propose a simple experimental scheme to realize simultaneously the one-dimensional spin-orbit coupling and the staggered spin-flip in ultracold pseudospin-$1/2$ atomic Fermi gases trapped in square optical lattices. In the absence of interspecies interactions, the system supports gapped Chern insulators and gapless topological semimetal states. By turning on the $s$-wave interactions, a rich variety of gapped and gapless inhomogeneous topological superfluids can emerge. In particular, a gapped topological Fulde-Ferrell superfluid, in which the chiral edge states at opposite boundaries possess the same chirality, is predicted.
description: 11 pages, 6 figures