cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Network Analysis of Breast Cancer Progression and Reversal Using a Tree-Evolving Network Algorithm
Creators: name: Ankur P. Parikh
name: Curtis, Ross E.
name: Kuhn, Irene
name: Becker-Weimann, Sabine
name: Bissell, Mina
name: Xing, Eric P
name: Wu, Wei
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: The HMT3522 progression series of human breast cells have been used to discover how tissue architecture, microenvironment and signaling molecules affect breast cell growth and behaviors. However, much remains to be elucidated about malignant and phenotypic reversion behaviors of the HMT3522-T4-2 cells of this series. We employed a “pan-cell-state” strategy, and analyzed jointly microarray profiles obtained from different state-specific cell populations from this progression and reversion model of the breast cells using a tree-lineage multi-network inference algorithm, Treegl. We found that different breast cell states contain distinct gene networks. The network specific to non-malignant HMT3522-S1 cells is dominated by genes involved in normal processes, whereas the T4-2-specific network is enriched with cancer-related genes. The networks specific to various conditions of the reverted T4-2 cells are enriched with pathways suggestive of compensatory effects, consistent with clinical data showing patient resistance to anticancer drugs. We validated the findings using an external dataset, and showed that aberrant expression values of certain hubs in the identified networks are associated with poor clinical outcomes. Thus, analysis of various reversion conditions (including non-reverted) of HMT3522 cells using Treegl can be a good model system to study drug effects on breast cancer.
Massless Neutrino Oscillation via Maximally Natural Vacuum Wavefunction
Creators: name: Cameron, Peter
Publisher: name: Zenodo
Year: 2020

description: Two essential conceptual structures - geometric representation of Clifford algebra wavefunctions and quantized impedances of wavefunction interactions - are absent from theorists' toolkits. Their synthesis offers complementary Standard Model perspectives, focusing not on Lagrangian flow of energy and information between kinetic and potential, but rather what governs amplitude and phase of that flow - impedance matching of wavefunction interactions. Photon excitation of two-component Dirac spinor vacuum wavefunctions permits calculation of permittivity $\epsilon_0$ and permeability $\mu_0$, and from these the scale-invariant 377 ohm far-field vacuum impedance seen by the photon. This suggests extending the method to near-field of the full eight-component vacuum wavefunction of geometric Clifford algebra. Such a model offers maximally natural three-component massless neutrino oscillation via the additional vacuum impedance phase shifts, with absence of right-handed neutrinos required by failure of three-component associativity in the eight-component Clifford algebra octonion.
galpy: A Python Library for Galactic Dynamics
Creators: name: Bovy, Jo
Publisher: name: arXiv
Year: 2014
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: I describe the design, implementation, and usage of galpy, a Python package for galactic-dynamics calculations. At its core, galpy consists of a general framework for representing galactic potentials both in Python and in C (for accelerated computations); galpy functions, objects, and methods can generally take arbitrary combinations of these as arguments. Numerical orbit integration is supported with a variety of Runge-Kutta-type and symplectic integrators. For planar orbits, integration of the phase-space volume is also possible. galpy supports the calculation of action-angle coordinates and orbital frequencies for a given phase-space point for general spherical potentials, using state-of-the-art numerical approximations for axisymmetric potentials, and making use of a recent general approximation for any static potential. A number of different distribution functions (DFs) are also included in the current release; currently these consist of two-dimensional axisymmetric and non-axisymmetric disk DFs, a three-dimensional disk DF, and a DF framework for tidal streams. I provide several examples to illustrate the use of the code. I present a simple model for the Milky Way's gravitational potential consistent with the latest observations. I also numerically calculate the Oort functions for different tracer populations of stars and compare it to a new analytical approximation. Additionally, I characterize the response of a kinematically-warm disk to an elliptical m=2 perturbation in detail. Overall, galpy consists of about 54,000 lines, including 23,000 lines of code in the module, 11,000 lines of test code, and about 20,000 lines of documentation. The test suite covers 99.6% of the code. galpy is available at http://github.com/jobovy/galpy with extensive documentation available at http://galpy.readthedocs.org/en/latest .
description: ApJS, in press; 29 pages, 30 figures, including many code examples. galpy is available at http://github.com/jobovy/galpy and code to reproduce this paper's figures can be found at http://github.com/jobovy/galpy-paper-figures
Hilbert Space Embeddings of Hidden Markov Models
Creators: name: Song, Le
name: Boots, Byron
name: Siddiqi, Sajid M.
name: Gordon, Geoffrey J.
name: Smola, Alex
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and discrete observations. And, learning algorithms for HMMs have predominantly relied on local search heuristics, with the exception of spectral methods such as those described below. We propose a nonparametric HMM that extends traditional HMMs to structured and non-Gaussian continuous distributions. Furthermore, we derive a localminimum-free kernel spectral algorithm for learning these HMMs. We apply our method to robot vision data, slot car inertial sensor data and audio event classification data, and show that in these applications, embedded HMMs exceed the previous state-of-the-art performance.
Additional file 1 of Streamlining sporozoite isolation from mosquitoes by leveraging the dynamics of migration to the salivary glands
Creators: name: Pathak, Ashutosh K.
name: Shiau, Justine C.
name: Franke-Fayard, Blandine
name: Shollenberger, Lisa M.
name: Harn, Donald A.
name: Kyle, Dennis E.
name: Murdock, Courtney C.
Publisher: name: figshare
Year: 2022
Subjects: subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 1: Figure S1. Generation and genotyping of the transgenic P. berghei ANKA reporter line GFP-Lucama1-eef1a (1052cl1). (a) Schematic representation of the generation of GFP-Lucama1-eef1a, (line 1052cl1) obtained after transfection by flow- sorting. DNA construct pL1308 is linearized at the SacII sites and integration occurs by double cross-over into the neutral p230p locus on chromosome (chr) 3. The construct contains two reporter expression cassettes, both containing the gfp-luciferase fusion gene under the control of either the schizont-specific ama1 promoter or the constitutive eef1a promoter. (b) Southern analysis of PFG-separated chromosomes confirms integration of the DNA construct pL1308 into the p230p locus on chr 3 of GFP-Lucama1-eef1a (1052cl1). The chromosomes are hybridized using a probe recognizing the 3′utr Pbdhfr/ts of the SM of the integrated construct which also hybridizes to the endogenous Pbdhfr/ts (PBANKA_0719300) on chr 7; control: the reference clone cl15cy1 of the P. berghei ANKA strain.
WHFast512: A symplectic N-body integrator for planetary systems optimized with AVX512 instructions
Creators: name: Javaheri, Pejvak
name: Rein, Hanno
name: Tamayo, Dan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: We describe the implementation of the symplectic N-body integrator WHFast512 using Single Instruction Multiple Data (SIMD) parallelism and 512-bit Advanced Vector Extensions (AVX512). We are able to speed up integrations of planetary systems by up to 4.7x compared to the non-vectorized version of WHFast. WHFast512 can integrate the Solar System with 8 planets for 5 billion years in less than 1.4 days. To our knowledge, this makes WHFast512 the fastest direct N-body integrator for systems of this kind. As an example, we present an ensemble of 40-Gyr integrations of the Solar System. Ignoring the Sun's post-main sequence evolution, we show that the instability rate is well captured by a diffusion model. WHFast512 is freely available within the REBOUND package.
description: 8 pages, 4 figures, 4.7x faster, accepted by the Open Journal of Astrophysics, WHFast512 source code available at https://github.com/hannorein/rebound/
SEYSMIK HIMOYA QILINGAN BINO VA INSHOOTLARNI TAHLIL QILISH  VA O'TGAN ZILZILALAR AKSELEROGRAMMASI
Creators: name: Buriyev, A.T.
name: Abubakirova, X.Y.
Publisher: name: Zenodo
Year: 2024

description: Ushbu maqolada hozirgi kungacha Respublikamizda binolarni zilzilabardoshligi bo’yicha qo’llanilgan me’yoriy hujjatlar va ularning ahamiyati bo’yicha ma’lumotlar keltirilgan. Oldin bo’lib o’tgan zilzilalar tahlili hamda akselerogrammalari keltirilgan. Hozirgi kunda loyihalanayotgan bino va inshootlar uchun tavsiyalar berilgan.
Integrating Document Clustering and Topic Modeling
Creators: name: Pengtao  Xie
name: Xing, Eric P
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Document clustering and topic modeling are two closely related tasks which can mutually benefit each other. Topic modeling can project documents into a topic space which facilitates effective document clustering. Cluster labels discovered by document clustering can be incorporated into topic models to extract local topics specific to each cluster and global topics shared by all clusters. In this paper, we propose a multi-grain clustering topic model (MGCTM) which integrates document clustering and topic modeling into a unified framework and jointly performs the two tasks to achieve the overall best performance. Our model tightly couples two components: a mixture component used for discovering latent groups in document collection and a topic model component used for mining multi-grain topics including local topics specific to each cluster and global topics shared across clusters. We employ variational inference to approximate the posterior of hidden variables and learn model parameters. Experiments on two datasets demonstrate the effectiveness of our model.
"Prospects of Neutrino Cross Section Measurements Using the NuMI off axis at ICARUS"
Creators: name: Howard, Bruce
name: Howell, Ryan
name: Minerba Betancourt
Publisher: name: Zenodo
Year: 2020

description: ICARUS, a Liquid Argon Time Projection Chamber, will serve as the Far Detector of the short- baseline neutrino program using the Booster beamline at Fermilab. It is 103 mrad off-axis of the NuMI beamline. Prospects for cross-section measurements and the status of the trigger system using the PMT system to collect electron and muon neutrinos from NuMI will be shown. Accurate neutrino cross-section measurements on argon are required for precise measurements of neutrino oscillation physics such as CP- violation and the ordering of the neutrino masses.
title: Verbesserung der Formstabilität eines Kunststoff-Drucktanks
Creators: name: Zöhrer, Daniel
Publisher: name: FH CAMPUS 02 (CAMPUS 02 Fachhochschule der Wirtschaft)
Year: 2025
Subjects: subject: 621 Angewandte Physik

description: Die Firma Magna Steyr Fuel Systems produziert Tanksysteme für Kraftfahrzeuge. Hier werden auch Drucktanks für Hybrid Fahrzeuge hergestellt. Ein Drucktank wird normalerweise aus Stahl hergestellt, um die höheren Druckanforderungen einzuhalten. In der Firma wurde bereits ein Drucktank aus Kunststoff entwickelt. Ein neuer Kunde hat jetzt die Entwicklung eines Kunststoff-Drucktanks mit Temperatur- und Druckanforderungen in Auftrag gegeben, welche höher sind als die des bestehenden Kunststoff-Drucktanks. 
Das Ziel dieser Arbeit war es, Methoden zu entwickeln um einen Kunststoff-Drucktank mit dem geforderten höheren Temperatur und Druckanforderungen zu produzieren. 
Um dieses Ziel zu erreichen wurde das Verhalten von Kunststoff unter Temperatur und Druck analysiert. Mit den Ergebnissen wurden neue Methoden entwickelt und diskutiert. Die vielversprechendsten Methoden wurden ausgewählt, an den existierenden Kunststoff Drucktank angewandt und mit Simulationen und Validierungstests geprüft. Die Resultate der Simulation und der Validierungstests zeigen, dass die neuen Anforderungen an die Formstabilität, durch das Verwenden von Kunststoff mit eingebrachten Glasfasern, gehalten werden können. 
Es ist geplant das neue Material in das neue Produkt einzubringen. Parallel dazu ist es geplant, den bestehenden Kunststoff Drucktank mit dem neuen Material auszustatten und dann dem vom Kunden geforderten 9 monatigen Lebenszeit Druckwechseltest zu unterziehen.
description: The company Magna Steyr Fuel Systems produces fuel tanks for vehicles. It produces also pressure fuel tanks for hybrid vehicles. Due to the increased pressure requirements such fuel tanks are usually made of steel. As more and more customers require pressure fuel tanks made of plastic the company has already developed such high pressure plastic fuel tanks. Recently a new customer placed an order for a plastic fuel tank with even higher temperature and pressure requirements. 
The aim of this thesis was to develop new production methods to produce such a tank. 
First of all the behaviour of plastic under high temperature was analysed. With the results of this analysis new methods could be developed. The most promising methods were chosen and tested with simulations. The results of the simulation and the following real tests showed that it is possible to produce such a tank by using plastic reinforced glass fibre. 
As a next step the new material is going to be implemented in the new product. At the same time it is planned to equip the old tank with the new material and carry out the 9 month pressure change lifetime test which was required by the customer.
Combining foods, combining tools: Understanding in vivo aroma release and sensory perception of composite foods
Creators: name: Gonzalez Estañol, Karina
Publisher: name: Università degli studi di Trento
Year: 2023
Subjects: subject: Sensory science, aroma release, sensory eprception, composite food
subject: Sensory science
subject: aroma release
subject: sensory eprception
subject: composite food

description: Combining foods, combining tools. To date, most of the published works that have attempted to relate aroma release and sensory perception are far from mimicking the real consumption context, as assessments often do not consider food oral processing during mastication and are performed on single or model foods. A multidisciplinary approach integrating in vivo aroma release, oral processing behaviour, and dynamic sensory methods is needed to have a better understanding of how the release, evolution, and fading of the flavour of real complex food matrices are being perceived during consumption. The research described in this thesis aims to investigate the relative contributions that food structure and its composition and oral processing behaviour have on aroma release and perception of food matrices made up of different components and contrasting textures, so-called composite foods. Results showed that the processes of aroma release and perception of composite foods are multidimensional phenomena and seem to be modulated by cross-modal texture-aroma interactions. While aroma release increased when a food was assessed in combination with other foods, consumer’s ability to discriminate between foods was reduced and off-flavours and texture deficiencies were masked. Furthermore, the role of oral processing behaviour on the breakdown of the food impacting aroma release and perception was highlighted. The use of a multidisciplinary approach provided more useful and accurate sensory profile representing an ecological, valid food consumption context that will ultimately offer new strategies for successfully developing healthier food products with lower fat and sugar content or elaborated with plant protein, for which sensory acceptability remains a challenge.
Large Scale Distributed Multiclass Logistic Regression
Creators: name: Pengtao  Xie
name: Kim, Jin Kyu
name: Xing, Eric P
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Multiclass logistic regression (MLR) is a fundamental machine learning model to do multiclass classification. However, it is very challenging to perform MLR on large scale data where the feature dimension is high, the number of classes is large and the number of data samples is numerous. In this paper, we build a distributed framework to support large scale multiclass logistic regression. Using stochastic gradient descent to optimize MLR, we find that the gradient matrix is computed as the outer product of two vectors. This grants us an opportunity to greatly reduce communication cost: instead of communicating the gradient matrix among machines, we can only communicate the two vectors and use them to reconstruct the gradient matrix after communication. We design a Sufficient Vector Broadcaster (SVB) to support this communication pattern. SVB synchronizes the parameter matrix of MLR by broadcasting the sufficient vectors among machines and migrates gradient matrix computation on the receiver side.SVB can reduce the communication cost from quadratic to linear without incurring any loss of correctness. We evaluate the system on the ImageNet dataset and demonstrate the efficiency and effectiveness of our distributed framework.
Emergent Soft Monopole Modes in Weakly-Bound Deformed Nuclei
Creators: name: Pei, J. C.
name: Kortelainen, M.
name: Zhang, Y. N.
name: Xu, F. R.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Nuclear Theory (nucl-th)
subject: Quantum Gases (cond-mat.quant-gas)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: Based on the Hartree-Fock-Bogoliubov solutions in large deformed coordinate spaces, the finite amplitude method for quasiparticle random phase approximation (FAM-QRPA) has been implemented, providing a suitable approach to probe collective excitations of weakly-bound nuclei embedded in the continuum. The monopole excitation modes in Magnesium isotopes up to the neutron drip line have been studied with the FAM-QRPA framework on both the coordinate-space and harmonic oscillator basis methods. Enhanced soft monopole strengths and collectivity as a result of weak-binding effects have been unambiguously demonstrated.
description: 5 pages, 4 figures, accepted for PRC (Rapid Comm.)
Building a Contemporary List of Texts for Teaching Greek on the Secondary Level
Creators: name: Polleichtner, Wolfgang
Publisher: name: PraxisForschungLehrer*innenBildung. Zeitschrift für Schul- und Professionsentwicklung.
Year: 2023

description: This article argues that it is necessary to redefine the canon of works of Greek literature that is read in schools. In addition, it undertakes the attempt to suggest directions in which we could look for new texts in this regard. An increasingly diverse student body and the emergence of new identities within Western Europe require us to go beyond the epic poetry of Homer and authors of the classical period. Pedagogical traditions and their limits of the past may not restrain us for the future. Neither in terms of its content nor in terms of the locations where it was written, Greek literature was ever restricted to what we today define as “Europe”.
description: PraxisForschungLehrer*innenBildung. Zeitschrift für Schul- und Professionsentwicklung., Bd. 5 Nr. 3 (2023): Standards – Margins – New Horizons. Canons for 21st-century Teaching
Distance Dependence of the Energy Transfer Rate From a Single Semiconductor Nanostructure to Graphene
Creators: name: Federspiel, François
name: Froehlicher, Guillaume
name: Nasilowski, Michel
name: Pedetti, Silvia
name: Mahmood, Ather
name: Doudin, Bernard
name: Park, Serin
name: Lee, Jeong-O
name: Halley, David
name: Dubertret, Benoît
name: Gilliot, Pierre
name: Berciaud, Stéphane
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The near-field Coulomb interaction between a nano-emitter and a graphene monolayer results in strong Förster-type resonant energy transfer and subsequent fluorescence quenching. Here, we investigate the distance dependence of the energy transfer rate from individual, i) zero-dimensional CdSe/CdS nanocrystals and ii) two-dimensional CdSe/CdS/ZnS nanoplatelets to a graphene monolayer. For increasing distances $d$, the energy transfer rate from individual nanocrystals to graphene decays as $1/d^4$. In contrast, the distance dependence of the energy transfer rate from a two-dimensional nanoplatelet to graphene deviates from a simple power law, but is well described by a theoretical model, which considers a thermal distribution of free excitons in a two-dimensional quantum well. Our results show that accurate distance measurements can be performed at the single particle level using graphene-based molecular rulers and that energy transfer allows probing dimensionality effects at the nanoscale.
description: Main text (+ 5 figures) and Supporting Information (+ 7 figures)
SANDD: The development of a highly-segmented plastic-scintillator antineutrino directional detector incorporating SiPM arrays
Creators: name: Sutanto, Felicia
name: Duvall, Mark
name: Li, Viacheslav
name: Reedy, Edward
name: Mabe, Andrew
name: Dazeley, Steven
name: Classen, Timothy
name: Jovanovic, Igor
Publisher: name: Zenodo
Year: 2020

description: Pulse-shape-discriminating plastic scintillator doped with Li-6, may lead the way to a next generation of reactor-antineutrino detectors --- with particle ID and position sensitivity enhanced by segmentation. This poster highlights the development of these features as the first step towards a Segmented AntiNeutrino Directional Detector (called SANDD). We constructed and tested a module of the SANDD containing an 8x8 array of ~5mm x 5mm rods instrumented with two 64-channel Silicon PhotoMultiplier (SiPM) arrays to demonstrate pulse-shape discrimination for the first time over all 128 channels of a SiPM-based photon readout, enabling neutron/gamma-ray discrimination throughout the volume.
Additional file 2 of Streamlining sporozoite isolation from mosquitoes by leveraging the dynamics of migration to the salivary glands
Creators: name: Pathak, Ashutosh K.
name: Shiau, Justine C.
name: Franke-Fayard, Blandine
name: Shollenberger, Lisa M.
name: Harn, Donald A.
name: Kyle, Dennis E.
name: Murdock, Courtney C.
Publisher: name: figshare
Year: 2022
Subjects: subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 2: Figure S2. Increasing yields predicted by (a) mean oocyst densities (yellow line) correspond with increasing uncertainty (yellow shaded area). (b) In groups with higher mean oocyst densities (e.g., 45), estimating the contribution of time may be difficult because of the possibility of pooling individuals with heavily infected midgut (~ 50 oocysts, left pane) consisting of some oocysts that have contributed sporozoites already (arrows) and some still in the process of doing so (arrowheads), with another individual with low infected midgut (4 oocysts, right pane) where the entire contingent of sporozoites have been released (arrowheads). Images were taken at 400 × magnification at 26 days post-blood meal, from individuals whose salivary glands were combined into the same pool.
Assessment of molecular effects on neutrino mass measurements from tritium beta decay
Creators: name: Bodine, L. I.
name: Parno, D. S.
name: Robertson, R. G. H.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The beta decay of molecular tritium currently provides the highest sensitivity in laboratory-based neutrino mass measurements. The upcoming Karlsruhe Tritium Neutrino (KATRIN) experiment will improve the sensitivity to 0.2 eV, making a percent-level quantitative understanding of molecular effects essential. The modern theoretical calculations available for neutrino-mass experiments agree with spectroscopic data. Moreover, when neutrino-mass experiments performed in the 1980s with gaseous tritium are re-evaluated using these modern calculations, the extracted neutrino mass-squared values are consistent with zero instead of being significantly negative. On the other hand, the calculated molecular final-state branching ratios are in tension with dissociation experiments performed in the 1950s. We re-examine the theory of the final-state spectrum of molecular tritium decay and its effect on the determination of the neutrino mass, with an emphasis on the role of the vibrational- and rotational-state distribution in the ground electronic state. General features can be reproduced quantitatively from considerations of kinematics and zero-point motion. We summarize the status of validation efforts and suggest means for resolving the apparent discrepancy in dissociation rates.
Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars
Creators: name: Li, Nan
name: Cohen, William W.
name: Koedinger, Kenneth R
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: People learn to read and understand various displays (e.g., tables on webpages and software user interfaces) every day. How do humans learn to process such displays? Can computers be efficiently taught to understand and use such displays? In this paper, we use statistical learning to model how humans learn to perceive visual displays. We extend an existing probabilistic context-free grammar learner to support learning within a two-dimensional space by incorporating spatial and temporal information. Experimental results in both synthetic domains and real world domains show that the proposed learning algorithm is effective in acquiring user interface layout. Furthermore, we evaluate the effectiveness of the proposed algorithm within an intelligent tutoring agent, SimStudent, by integrating the learned display representation into the agent. Experimental results in learning complex problem solving skills in three domains show that the learned display representation is as good as one created by a human expert, in that skill learning using the learned representation is as effective as using a manually created representation.
TRISTAN: a novel detector for keV sterile neutrino search with KATRIN
Creators: name: Siegmann, Daniel
name: Houdy, Thibaut
Publisher: name: Zenodo
Year: 2020

description: The KATRIN (Karlsruhe Tritium Neutrino) experiment investigates the energetic endpoint of the tritium beta-decay spectrum to determine the effective mass of the electron anti-neutrino. The high source luminosity of KATRIN allows to extend the physics reach from probing the neutrino mass to searching for sterile neutrinos. To assess the signature of a keV-scale sterile neutrinos, the entire tritium beta decay spectrum has to be measured with high precision. To this end, a new detectors system, names TRISTAN, is being developed. A novel multi-pixels silicon drift detector and read-out are being designed to handle rates up to 100 Mcps with an energy resolution of about 300 eV (FWHM) at 20 keV. This poster will present the first TRISTAN prototype characterization as well as the assembly of the first TRISTAN module.
ungehobener Schatz
Creators: name: Lobe, Michael
Publisher: name: PraxisForschungLehrer*innenBildung. Zeitschrift für Schul- und Professionsentwicklung.
Year: 2023

description: Der Beitrag benennt Kriterien für eine gute Anfangslektüre im Lateinunterricht und sucht an konkreten Beispielen die besondere Eignung von Eutrops "Kurzabriss der römischen Geschichte" für den gymnasialen Lektüreunterricht nachzuweisen.
description: PraxisForschungLehrer*innenBildung. Zeitschrift für Schul- und Professionsentwicklung., Bd. 5 Nr. 3 (2023): Standards – Margins – New Horizons. Canons for 21st-century Teaching
Threshold Corrections to Baryon Number Violating Operators in Supersymmetric SU(5) GUTs
Creators: name: Hisano, Junji
name: Kuwahara, Takumi
name: Omura, Yuji
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The nucleon decay is a significant phenomenon to verify grand unified theories (GUTs). For the precise prediction of the nucleon lifetime induced by the gauge bosons associated with the unified gauge group, it is important to include the renormalization effects on the Wilson coefficients of the dimension-six baryon number violating operators. In this study, we have derived the threshold corrections to these coefficients at the one-loop level in the minimal supersymmetric SU(5) GUT and the extended one with additional SU(5) vector-like pairs. As a result, it is found that the nucleon decay rate is enhanced about 5% in the minimal setup, and then the enhancement could become smaller in the vector-like matter extensions.
description: 31pages, 8 figures, Version accepted for publication in Nuclear Physics B; Errors in our numerical code and typos are fixed in version 4
On the Bootstrap for Persistence Diagrams and Landscapes
Creators: name: Chazal, Frederic
name: Fasy, Brittany Therese
name: Lecci, Fabrizio
name: Rinaldo, Alessandro
name: Singh, Aarti
name: Wasserman, Larry
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Persistent homology probes topological properties from point clouds and functions. By looking at multiple scales simultaneously, one can record the births and deaths of topological features as the scale varies. In this paper we use a statistical technique, the empirical bootstrap, to separate topological signal from topological noise. In particular, we derive confidence sets for persistence diagrams and confidence bands for persistence landscapes.
Low-ionization iron-rich Broad Absorption-Line Quasar SDSS J1652+2650: Physical conditions in the ejected gas from excited FeII and metastable HeI
Creators: name: A., Balashev S.
name: C., Ledoux
name: P., Noterdaeme
name: P., Boissé
name: K., Krogager J.
name: S., López
name: N, Telikova K.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present high-resolution VLT/UVES spectroscopy and a detailed analysis of the unique Broad Absorption-Line system towards the quasar SDSS J165252.67+265001.96. This system exhibits low-ionization metal absorption lines from the ground states and excited energy levels of Fe II and Mn II, and the meta-stable 2^3S excited state of He I. The extended kinematics of the absorber encompasses three main clumps with velocity offsets of -5680, -4550, and -1770 km s$^{-1}$ from the quasar emission redshift, $z=0.3509\pm0.0003$, derived from [O II] emission. Each clump shows moderate partial covering of the background continuum source, $C_f \approx [0.53; 0.24; 0.81]$. We discuss the excitation mechanisms at play in the gas, which we use to constrain the distance of the clouds from the Active Galactic Nucleus (AGN) as well as the density, temperature, and typical sizes of the clouds. The number density is found to be $n_{\rm H} \sim 10^4\rm cm^{-3}$ and the temperature $T_e \sim 10^4\rm\,K$, with longitudinal cloudlet sizes of $\gtrsim0.01$ pc. Cloudy photo-ionization modelling of He I$^{*}$, which is also produced at the interface between the neutral and ionized phases, assuming the number densities derived from Fe II, constrains the ionization parameter to be $\log U \sim -3$. This corresponds to distances of a few 100 pc from the AGN. We discuss these results in the more general context of associated absorption-line systems and propose a connection between FeLoBALs and the recently-identified molecular-rich intrinsic absorbers. Studies of significant samples of FeLoBALs, even though rare per se, will soon be possible thanks to large dedicated surveys paired with high-resolution spectroscopic follow-ups.
description: Accepted for publication in MNRAS, 27 pages, 21 Figures
Additional file 3 of Streamlining sporozoite isolation from mosquitoes by leveraging the dynamics of migration to the salivary glands
Creators: name: Pathak, Ashutosh K.
name: Shiau, Justine C.
name: Franke-Fayard, Blandine
name: Shollenberger, Lisa M.
name: Harn, Donald A.
name: Kyle, Dennis E.
name: Murdock, Courtney C.
Publisher: name: figshare
Year: 2022
Subjects: subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 3: Table S1. Sampling regime for collecting sporozoites from 46 groups of mosquitoes, infected with two strains of P. berghei, over time (17–29 days post-blood meal); note salivary glands were not collected from any group at 18 days post-blood meal. Checkmarks indicate when sample collections were performed between 17 and 29 days post-blood meal from the respective groups; multiple check marks for the same group depict when sporozoites were collected for that group.
A Cost-Benefit Analysis of Biogas Plant
Creators: name: Yoon, Youngman
name: Yoon, Youngman
Publisher: name: Unknown
Year: 2012
Subjects: subject: Demand and Price Analysis
subject: Resource /Energy Economics and Policy
subject: biogas plant
subject: new and renewable energy
subject: cost-benefit

description: This study conducted a case study analyzing the cost and benefits of biogas plants that use livestock manure to produce biogas. The purpose was to review the possibility of expanding the facilities across the country. According to the analysis results, it was found that in most cases economic viability would be very low if the revenue is earned through the selling of surplus electricity only. If we consider the sales revenue from surplus power as the direct benefit(Scenario 1), the compensation rate would be 24.8% of total facility cost. However, in Scenario 2 where we consider private investment as the only cost, the compensation rate would be 34.0% of the total cost. It was found that if indirect benefit is taken into account, only the biogas facility in Jeju Island would generate an economic benefit of 381 won/㎥. In the cost analysis of private investment, it was estimated that the economic benefit of the biogas plants would be 2,565~4,809 won/㎥, that is, excluding two plants in Suncheon and Changnyeong that are built with private investment only and another two plants in Anseong that are built for experimental purpose only. Therefore, in order to improve the economic viability of manure biogas plants, government support is needed more than anything else to share the initial facility cost.
Searching for non-unitary neutrino oscillation in the present T2K and NOvA data
Creators: name: Pasquini, Pedro Simoni
name: Soebur Razzaque
name: Ushak Rahaman
name: Miranda, Luis Salvador
Publisher: name: Zenodo
Year: 2020

description: The mixing of three active neutrino flavors is parameterized by the unitary PMNS matrix. If there are more than three neutrino flavors and if the extra generations are heavy isosinglets, the effective 3 × 3 mixing matrix for the three active neutrinos will be non-unitary. We have analyzed the latest T2K and NOνA data with the hypothesis of non-unitary mixing of the active neutrinos. We found that the NOνA data slightly prefer the non-unitary mixing over unitary mixing. Allowing the non-unitary mixing brings the NOνA best-fit point closer to the T2K best-fit point. The T2K data, on the other hand, prefer unitary mixing. A combined analysis of the NOνA and T2K data also prefers the unitary mixing but cannot rule out the 1σ C.L. non-unitary region derived from the NOνA data alone.
Smoothing Toric Fano Surfaces Using the Gross-Siebert Algorithm
Creators: name: Prince, Thomas
Publisher: name: arXiv
Year: 2015
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics

description: A toric del Pezzo surface $X_P$ with cyclic quotient singularities determines and is determined by a Fano polygon $P$. We construct an affine manifold with singularities that partially smooths the boundary of $P$; this a tropical version of a Q-Gorenstein partial smoothing of $X_P$. We implement a mild generalization of the Gross-Siebert reconstruction algorithm - allowing singularities that are not locally rigid - and thereby construct (a formal version of) this partial smoothing directly from the affine manifold. This has implications for mirror symmetry: roughly speaking, it implements half of the expected mirror correspondence between del Pezzo surfaces with cyclic quotient singularities and Laurent polynomials in two variables.
description: 50 pages, changes made to the introduction, minor clarifications made to section 9
Online Learning of Structured Predictors with Multiple Kernels
Creators: name: Martins, Andre F.T.
name: Smith, Noah A.
name: Xing, Eric P.
name: Aguiar, Pedro M.Q.
name: Figeuiredo, Mario A. T.
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Training structured predictors often requires a considerable time selecting features or tweaking the kernel. Multiple kernel learning (MKL) sidesteps this issue by embedding the kernel learning into the training procedure. Despite the recent progress towards efficiency of MKL algorithms, the structured output case remains an open research front. We propose a family of online algorithms able to tackle variants of MKL and group-LASSO, for which we show regret, convergence, and generalization bounds. Experiments on handwriting recognition and dependency parsing attest the success of the approach.
Additional file 4 of Streamlining sporozoite isolation from mosquitoes by leveraging the dynamics of migration to the salivary glands
Creators: name: Pathak, Ashutosh K.
name: Shiau, Justine C.
name: Franke-Fayard, Blandine
name: Shollenberger, Lisa M.
name: Harn, Donald A.
name: Kyle, Dennis E.
name: Murdock, Courtney C.
Publisher: name: figshare
Year: 2022
Subjects: subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 4: Table S2. Sample sizes and measures of parasite infection in the midguts.
title: Foraging guild modulates insectivorous bat responses to habitat loss and insular fragmentation in peninsular Malaysia (accepted)
Creators: name: Hazard, Quentin C.K.
name: Froidevaux, Jérémy S.P.
name: Yoh, Natalie
name: Moore, Jonathan
name: Senawi, Juliana
name: Gibson, Luke
name: Palmeirim, Ana Filipa
Publisher: name: Elsevier
Year: 2023

description: Despite mounting evidence on the ecological impacts of damming for biodiversity, little is known regarding its consequences in the hyper-diverse Southeast Asian tropical forests. Here we assess the effects of habitat loss and fragmentation on the diversity and activity of insectivorous bats within the hydroelectric Kenyir Lake in peninsular Malaysia. We surveyed bat assemblages on 26 islands and two mainland continuous forest sites using passive acoustic monitoring. Echolocation calls were classified into sonotypes, each corresponding to either one or multiple species, and grouped into foraging guilds. We then examined bat overall assemblage (sonotype richness, activity, and composition), guild- and sonotype-specific activity. From 9360 h of recordings, we identified 16 bat sonotypes, including 10 forest (2854 bat passes), three edge (13703) and three open-space foragers (3651). Sonotype richness increased towards denser canopy structures, as indicated by higher Normalized Difference Vegetation Index values (NDVI). Sonotype composition varied across the gradient of forest area. Forest foragers were positively affected by NDVI and negatively affected by distance to the closest neighbour, whereas edge foragers' activity increased in smaller islands. Of the six sonotypes analysed, the activity of one forest sonotype increased with forest area, while that of one edge sonotype decreased. Ensuring habitat quality within insular forest remnants, in addition to their functional connectivity, maximises bat diversity, including the persistence of forest foraging species. Future hydropower development should therefore avoid the creation of a myriad of small, isolated, and habitat-degraded islands further characterised by altered levels of bat diversity and guild-level activity.
description: Author's Accepted Manuscript
Business Resource Groups—Supporting Organizational and Individual Performance Outcomes through the Development of Social Capital & Self-Efficacy
Creators: name: Dua, Sanjay K.
Publisher: name: Zenodo
Year: 2022
Subjects: Business Resource Groups
Social Capital
Mixed Method
Innovation

description: Business Resource Groups (BRGs) are social networks within organizations, that provide support and networking opportunities for their employees. Established in part to promote an inclusive work environment, BRGs look to deliver the core mission and objectives of the organization, by drawing upon the diversity of its member base. (Kaplan, et.al, 2009). BRGs provide fundamental performance opportunities for their members. Performance opportunities come in two forms, individual and organizational. The individual performance opportunities are through career and leadership development (Friedman & Craig, 2004), volunteering through community outreach, and delivering cultural awareness within the company. The organizational performance opportunities come in the form of some combination of new business development, multicultural marketing, and top-line business growth.
 There has been minimal empirical research on BRGs, their efficacy on individual members, or their impact on organizations (Welbourne & McLaughlin, 2013). The purpose of this study is to fill this gap in research by demonstrating how BRGs can affect organizational and individual performance. This research demonstrates how BRGs, through the development of social capital, can act as mediators, bridging the relationship between internal and external stakeholders. The development of confidence through self-efficacy (Bandura, 1978) underscores the value gained for the BRG team members. This study follows an Asian Pacific American (APA) BRG within a Multi-National Company (MNC), chronicling their approach to enhancing individual and organizational performance. In this context, organizational performance is synonymous with business growth (i.e., sales, volume, gross profit) within the company. Individual performance is synonymous with attaining confidence through on-the-job learning and task accomplishments.
 The research methods used in this study were through a mixed method design. From a qualitative perspective, a Participative Action Research (A/R) design was used. As the direct leader and the primary researcher, I played a change catalyst role within the BRG, by partnering with internal and external stakeholders to influence, observe, and reflect on the process to achieve organizational performance. Grounded Theory was also used to convert the participant’s sentiments into emerging themes drawn from the A/R experience. From a quantitative methods perspective, a quasi-experimental design was used. Key business performance measures are used to demonstrate before and aftereffects the development of social capital may have both inside and outside of the organization. This mixed method approach provides a powerful and compelling view of how BRGs can impact organizational and individual performance.
All-Sky Search for Neutrinos Correlated with Gamma-Ray Bursts in Extended Time Windows Using Eight Years of IceCube Data
Creators: name: Friedman, Elizabeth
Publisher: name: Zenodo
Year: 2020

description: Since the discovery of a diffuse astrophysical neutrino flux by the IceCube Neutrino Observatory, many sources have been studied as possible progenitors of high-energy neutrinos. In particular, gamma-ray bursts (GRBs) have been considered as possible neutrino sources due to their extremely high energy output. Several analyses with IceCube data have set strong limits on prompt neutrino emission from GRBs; however, the searches for neutrino emission beyond the prompt phase are more limited. This analysis searches multiple time windows for each GRB, ranging from ten seconds to fourteen days, to measure both prompt and possible extended neutrino emission. Data collected from eight years of exposure with the completed IceCube detector is used in this analysis, which is coincident with over two thousand GRBs for increased sensitivity over previous searches.
Selection Of Muon Neutrinos for the MicroBooNE Deep-Learning-based Low Energy Excess Search
Creators: name: Davio Cianci
Publisher: name: Zenodo
Year: 2020

description: MicroBooNE is a liquid argon time projection chamber (LArTPC) detector positioned on the Fermilab booster beamline whose primary goal is to verify an excess of low energy electron neutrinos observed by MiniBooNE on the same beam. To this end, a reliable measurement of muon neutrinos in parallel with one of electron neutrinos can provide a constraint on systematic uncertainties, strengthening any claims about the anomalous low energy excess (LEE). This poster presents a selection of muon neutrino events identified as having one muon and one proton in the final state in the MicroBooNE experiment pairing cutting edge deep-learning-based track reconstruction methods with the fine topological resolution provided by LArTPC detector technology.