cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration
Creators: name: Ao, Shuang
name: Rueger, Stefan
name: Siddharthan, Advaith
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Proper confidence calibration of deep neural networks is essential for reliable predictions in safety-critical tasks. Miscalibration can lead to model over-confidence and/or under-confidence; i.e., the model's confidence in its prediction can be greater or less than the model's accuracy. Recent studies have highlighted the over-confidence issue by introducing calibration techniques and demonstrated success on various tasks. However, miscalibration through under-confidence has not yet to receive much attention. In this paper, we address the necessity of paying attention to the under-confidence issue. We first introduce a novel metric, a miscalibration score, to identify the overall and class-wise calibration status, including being over or under-confident. Our proposed metric reveals the pitfalls of existing calibration techniques, where they often overly calibrate the model and worsen under-confident predictions. Then we utilize the class-wise miscalibration score as a proxy to design a calibration technique that can tackle both over and under-confidence. We report extensive experiments that show our proposed methods substantially outperforming existing calibration techniques. We also validate our proposed calibration technique on an automatic failure detection task with a risk-coverage curve, reporting that our methods improve failure detection as well as trustworthiness of the model. The code are available at \url{https://github.com/AoShuang92/miscalibration_TS}.
description: 9 pages
Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing
Creators: name: Ao, Shuang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Although AI systems have been applied in various fields and achieved impressive performance, their safety and reliability are still a big concern. This is especially important for safety-critical tasks. One shared characteristic of these critical tasks is their risk sensitivity, where small mistakes can cause big consequences and even endanger life. There are several factors that could be guidelines for the successful deployment of AI systems in sensitive tasks: (i) failure detection and out-of-distribution (OOD) detection; (ii) overfitting identification; (iii) uncertainty quantification for predictions; (iv) robustness to data perturbations. These factors are also challenges of current AI systems, which are major blocks for building safe and reliable AI. Specifically, the current AI algorithms are unable to identify common causes for failure detection. Furthermore, additional techniques are required to quantify the quality of predictions. All these contribute to inaccurate uncertainty quantification, which lowers trust in predictions. Hence obtaining accurate model uncertainty quantification and its further improvement are challenging. To address these issues, many techniques have been proposed, such as regularization methods and learning strategies. As vision and language are the most typical data type and have many open source benchmark datasets, this thesis will focus on vision-language data processing for tasks like classification, image captioning, and vision question answering. In this thesis, we aim to build a safeguard by further developing current techniques to ensure the accurate model uncertainty for safety-critical tasks.
description: 4 pages
Long- versus medium-run identification in fractionally integrated VAR models
Creators: name: Tschernig, Rolf
name: Weber, Enzo
name: Weigand, Roland
Publisher: name: Universität Regensburg
Year: 2013
Subjects: subject: Structural vector autoregression, long-run restriction, finite-horizon identification, fractional integration, impulse response function
subject: 330 Wirtschaft
subject: C32
subject: C50

description: We state that long-run restrictions that identify structural shocks in VAR models with unit roots lose their original interpretation if the fractional integration order of the affected variable is below one. For such fractionally integrated models we consider a medium-run approach that employs restrictions on variance contributions over finite horizons. We show for alternative identification schemes that letting the horizon tend to infinity is equivalent to imposing the restriction of Blanchard and Quah (1989) introduced for the unit-root case.
Dark Radiation Alleviates Problems with Dark Matter Halos
Creators: name: Chu, Xiaoyong
name: Dasgupta, Basudeb
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We show that a scalar and a fermion charged under a global U(1) symmetry can not only explain the existence and abundance of dark matter (DM) and dark radiation (DR), but also imbue DM with improved scattering properties at galactic scales, while remaining consistent with all other observations. Delayed DM-DR kinetic decoupling eases the missing satellites problem, while DR mediated self-interactions of DM ease the cusp vs. core and too big to fail problems. In this scenario, DM is expected to be pseudo-Dirac and have a mass between 100 keV and 10 GeV. The predicted DR may be measurable using the primordial elemental abundances from big bang nucleosynthesis (BBN), and using the cosmic microwave background (CMB).
description: 6 pages, 4 figures. v3: Minor changes (references added, text improved). Fig.4 was not included in the PRL version
Análisis de distribución y tamaño de las congregaciones de tiburón ballena Rhincodon typus durante la temporada 2003 en Bahía de los Ángeles, B.C. /
Creators: name: Iñiguez Hernández, Lucina
Publisher: name: Universidad Autónoma de Baja California.
Year: 2022
Subjects: subject: Tiburón ballena Ángeles, Bahía de, Baja Calif||Oceanología Biología||Tesis
subject: QL638.95 .R4 I55 2004

description: El tiburón ballena Rhincodon typus es una especie de la cual se sabe muy poco y, según las lista roja de especies amenazadas de la Unión Internacional para la Conservación de la Naturaleza, por el decaimiento de su población, es catalogada como vulnerable.
Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection
Creators: name: Ao, Shuang
name: Rueger, Stefan
name: Siddharthan, Advaith
Publisher: name: arXiv
Year: 2023
Subjects: subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Failure detection (FD) in AI systems is a crucial safeguard for the deployment for safety-critical tasks. The common evaluation method of FD performance is the Risk-coverage (RC) curve, which reveals the trade-off between the data coverage rate and the performance on accepted data. One common way to quantify the RC curve by calculating the area under the RC curve. However, this metric does not inform on how suited any method is for FD, or what the optimal coverage rate should be. As FD aims to achieve higher performance with fewer data discarded, evaluating with partial coverage excluding the most uncertain samples is more intuitive and meaningful than full coverage. In addition, there is an optimal point in the coverage where the model could achieve ideal performance theoretically. We propose the Excess Area Under the Optimal RC Curve (E-AUoptRC), with the area in coverage from the optimal point to the full coverage. Further, the model performance at this optimal point can represent both model learning ability and calibration. We propose it as the Trust Index (TI), a complementary evaluation metric to the overall model accuracy. We report extensive experiments on three benchmark image datasets with ten variants of transformer and CNN models. Our results show that our proposed methods can better reflect the model trustworthiness than existing evaluation metrics. We further observe that the model with high overall accuracy does not always yield the high TI, which indicates the necessity of the proposed Trust Index as a complementary metric to the model overall accuracy. The code are available at \url{https://github.com/AoShuang92/optimal_risk}.
description: 7 pages
Searches for electroweak production of charginos, neutralinos, and sleptons decaying to leptons and W, Z, and Higgs bosons in pp collisions at 8 TeV
Creators: name: CMS Collaboration
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Searches for the direct electroweak production of supersymmetric charginos, neutralinos, and sleptons in a variety of signatures with leptons and W, Z, and Higgs bosons are presented. Results are based on a sample of proton-proton collision data collected at center-of-mass energy sqrt(s) = 8 TeV with the CMS detector in 2012, corresponding to an integrated luminosity of 19.5 inverse femtobarns. The observed event rates are in agreement with expectations from the standard model. These results probe charginos and neutralinos with masses up to 720 GeV, and sleptons up to 260 GeV, depending on the model details.
description: Replaced with published version. Added journal reference and DOI
Riemann problem for a particle-fluid coupling
Creators: name: Aguillon, Nina
Publisher: name: arXiv
Year: 2013
Subjects: subject: Analysis of PDEs (math.AP)
subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: We present a model of coupling between a point wise particle and a compressible inviscid fluid following the Euler equations. The interaction between the fluid and the particle is achieved through a drag force. It writes as the product of a discontinuous function and a Dirac measure. After defining the solution, we solve the Riemann problem with a fixed particle for arbitrary data. We exhibit a set of condition on the drag force under which there exists a unique self-similar solution.
Asymmetric exclusion processes on a closed network with bottlenecks
Creators: name: Chatterjee, Rakesh
name: Chandra, Anjan Kumar
name: Basu, Abhik
Publisher: name: arXiv
Year: 2014
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We study the generic non-equilibrium steady states in asymmetric exclusion processes on a closed network with bottlenecks. To this end we proposes and study closed simple networks with multiply-connected non-identical junctions. Depending upon the parameters that define the network junctions and the particle number density, the models display phase transitions with both static and moving density inhomogeneities. The currents in the models can be tuned by the junction parameters. Our models highlight how extended and point defects may affect the density profiles in a closed directed network. Phenomenological implications of our results are discussed.
description: 18 pages, 14 figures
A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions
Creators: name: Knyazev, Norman
name: Oosterhuis, Harrie
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: H.3.3; G.3

description: Most Recommender Systems (RecSys) do not provide an indication of confidence in their decisions. Therefore, they do not distinguish between recommendations of which they are certain, and those where they are not. Existing confidence methods for RecSys are either inaccurate heuristics, conceptually complex or computationally very expensive. Consequently, real-world RecSys applications rarely adopt these methods, and thus, provide no confidence insights in their behavior. In this work, we propose learned beta distributions (LBD) as a simple and practical recommendation method with an explicit measure of confidence. Our main insight is that beta distributions predict user preferences as probability distributions that naturally model confidence on a closed interval, yet can be implemented with the minimal model-complexity. Our results show that LBD maintains competitive accuracy to existing methods while also having a significantly stronger correlation between its accuracy and confidence. Furthermore, LBD has higher performance when applied to a high-precision targeted recommendation task. Our work thus shows that confidence in RecSys is possible without sacrificing simplicity or accuracy, and without introducing heavy computational complexity. Thereby, we hope it enables better insight into real-world RecSys and opens the door for novel future applications.
description: In Proceedings of the 17th ACM Conference on Recommender Systems (RecSys '23), September 18-22, 2023, Singapore, Singapore. ACM, New York, NY, USA, 12 pages
Engineering relativistic effects in ferroelectric SnTe
Creators: name: Plekhanov, Evgeny
name: Barone, Paolo
name: Di Sante, Domenico
name: Picozzi, Silvia
Publisher: name: arXiv
Year: 2014
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Spin-orbit coupling is increasingly seen as a rich source of novel phenomena, as shown by the recent excitement around topological insulators and Rashba effects. We here show that the addition of ferroelectric degrees of freedom to a semiconductor featuring topologically-non-trivial properties, such as SnTe, merges the intriguing field of spin-orbit-driven physics with non-volatile functionalities appealing for spintronics. By using a variety of modelling techniques, we show that a strikingly rich sequence of phases can be induced in SnTe, when going from a room-temperature cubic phase to a low-temperature ferroelectric structure, ranging from a topological crystalline insulator to a time-reversal-invariant $Z_2$ topological insulator to a "ferroelectric Rashba semiconductor", exhibiting a huge electrically-controllable Rashba effect in the bulk band structure.
description: 5 pages, 2 figures
Regulation Compliance Model of National Park Visitors
Creators: name: Noppawan Tanakanjana Phongkhieo
name: Thanakrit Sangchoey
Publisher: name: Silpakorn University Research and Development Institute
Year: 2018
Subjects: Regulationcompliance
national park visitor
pathmodel

description: Humanities, Arts and Social Sciences Studies, 18, 3, 695-716
Non-self-similar blow-up in the heat flow for harmonic maps in higher dimensions
Creators: name: Biernat, Paweł
Publisher: name: arXiv
Year: 2014
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: We analyze the finite-time blow-up of solutions of the heat flow for $k$-corotational maps $\mathbb R^d\to S^d$. For each dimension $d>2+k(2+2\sqrt{2})$ we construct a countable family of blow-up solutions via a method of matched asymptotics by glueing a re-scaled harmonic map to the singular self-similar solution: the equatorial map. We find that the blow-up rates of the constructed solutions are closely related to the eigenvalues of the self-similar solution. In the case of $1$-corotational maps our solutions are stable and represent the generic blow-up.
description: 26 pages, 5 figures
Mapping possible non-Gaussianity in the Planck maps
Creators: name: Bernui, A.
name: Reboucas, M. J.
Publisher: name: arXiv
Year: 2014
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: [Abridged.] It is conceivable that no single statistical estimator can be sensitive to all forms and levels of non-Gaussianity that may be present in observed CMB data. In recent works a statistical procedure based upon the calculation of the skewness and kurtosis of the patches of CMB sky-sphere has been proposed and used to find out significant large-angle deviation from Gaussianity in the foreground-reduced WMAP maps. Here we address the question as to how the analysis of Gaussianity of WMAP maps is modified if the foreground-cleaned Planck maps are used, therefore extending and complementing the previous analyses in several regards. We carry out a new analysis of Gaussianity with the available nearly full-sky foreground-cleaned Planck maps. As the foregrounds are cleaned through different component separation procedures, each of the resulting Planck maps is then tested for Gaussianity. We determine quantitatively the effects for Gaussianity of masking the foreground-cleaned Planck maps with the INPMASK, VALMASK, and U73 Planck masks. We show that although the foreground-cleaned Planck maps present significant deviation from Gaussianity of different degrees when the less severe INPMASK and VALMASK are used, they become consistent with Gaussianity as detected by our indicator $S$ when masked with the union U73 mask. A slightly smaller consistency with Gaussianity is found when the $K$ indicator is employed, which seems to be associated with large-angle anomalies reported by the Planck team. Finally, we examine the robustness of the Gaussianity analyses with respect to the noise pixel's as given by the Planck team, and show that no appreciable changes arise when is incorporated into the maps. The results of our analyses provide important information about the suitability of the foreground-cleaned Planck maps as Gaussian reconstructions of the CMB sky.
description: 10 pages, 4 figures. V2: Version to appear in A&A (2014), reformatted, typos corrected, references added, a word added in the title
Geoloogiline ajaskaala 2023
Creators: name: Hints, Olle
name: Aren, Mariliis
name: Hang, Tiit
name: Kaljo, Dimitri
name: Kirs, Juho
name: Marandi, Andres
name: Meidla, Tõnu
name: Männik, Peep
name: Nirgi, Siim
name: Ploom, Kuldev
name: Sibul, Ivo
name: Soesoo, Alvar
Publisher: name: Eesti Stratigraafia Komisjon
Year: 2023
Subjects: stratigraafia
stratigraafiline skeem
geoloogiline ajaskaala
kronostratigraafia
geokronoloogiline tabel
kronostratigraafiline tabel
geologic time scale
international chronostratigraphic chart
stratigraphy
eoon
aegkond
ajastu
ajastik
iga
eon, era, period, epoch, age, eonothem, erathem, system, series, stage, ladem, ladekond, ladestu, ladestik, lade

description: Geoloogiline ajaskaala 2023 on IUGSi Rahvusvahelise Stratigraafia Komisjoni poolt kinnitatud kronostratigraafilise skeemi (versioon 2023/09) eestindatud väljaanne. Stratigraafiliste üksuste nimed on kinnitanud Eesti Stratigraafia Komisjon ning need on soovituslikuks kasutamiseks kõigis eestikeelsetes vastavaid termineid kasutavates väljaannetes. Võrreldes eestindatud ajaskaala eelmise versiooniga (https://doi.org/10.23679/513) on GSSP-ga fikseeritud Langhe, Barreme'i ja Campania lademe (ea) alumised piirid ning täpsustatud nende numbrilised vanused. Ühtlasi on kaasajastatud kõigi Juura ajastu lademete (igade) numbrilised vanused. Hadaikumi algus on uues versioonis defineeritud GSSA-ga, mille numbriline vanus on 4567.3 ±0.16 mln. Arhaikumi alumise piiri vanuseks loetakse nüüd 4031 ±3 mln (seni 4000 mln).
The Moral Disintegration and the Politics of Cultural Emotions within Thailand's Current, Deeply Divided Political Conflicts
Creators: name: Thannapat Jarenpanit
Publisher: name: Silpakorn University Research and Development Institute
Year: 2018
Subjects: Political conflicts
cultural forces of emotion
morality
red shirt
yellow shirt

description: Humanities, Arts and Social Sciences Studies, 18, 3, 717-736
Laser Scanning Confocal Microscopy of Comet Material in Aerogel
Creators: name: Greenberg, Michael
name: Ebel, Denton S.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Geophysics (physics.geo-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We report non-destructive 3-dimensional imaging and analysis techniques for material returned by the Stardust cometary collector. Our technique utilizes 3-dimensional laser scanning confocal microscopy (3D LSCM) to image whole Stardust tracks, in situ, with attainable resolutions <90 nm/pixel edge. LSCM images illustrate track morphology and fragmentation history; image segmentation techniques provide quantifiable volumetric and dynamic measurements. We present a method for multipart image acquisition and registration in 3-D. Additionally, we present a 3D deconvolution method for aerogel, using a theoretically calculated point spread function for first-order corrections of optical aberrations induced by light diffraction and refractive index mismatches. LSCM is a benchtop technique and is an excellent alternative to synchrotron x-ray computed microtomography for optically transparent media. Our technique, developed over the past 2 years, is a non-invasive, rapid technique for fine-scale imaging of high value returned samples from the Stardust mission, as well as various other samples from the geosciences.
description: 17 pages, 6 figures, 2 tables
About the Biography of Involuntary Celibate (Incel) Scott Paul Beierle Used in the Department of Homeland Security (DHS) Case Study to Prevent Gun Violence and Hate Crimes in the United States of America (U.S.A) - #Michael A. Ayele (a.k.a) W - #Association for the Advancement of Civil Liberties (AACL)
Creators: name: Michael A. Ayele (A.K.A) W
Publisher: name: OSF
Year: 2023
Subjects: #Biography of Involuntary Celibate (Incel) Scott Paul Beierle in Perspective and Context
#Michael A. Ayele (a.k.a) W Review of the March 2022 Report Published by the Department of Homeland Security (DHS)
#Systemic Racism and Sexism as a Factor That is Exacerbating America's Gun Violence Public Health Epidemic

description: On (or around) March 15th 2022, the Department of Homeland Security (DHS) United States Secret Service (USSS) had published a report about the November 02nd 2018 shooting in Tallahassee, Florida. In their report (published on or around March 15th 2022), the DHS (USSS) said that they had initiated contact with the Department of Justice (DOJ) Federal Bureau of Investigation (FBI) to inquire about the responsibility that the FBI should take for the November 02nd 2018 shooting in Tallahassee, Florida. On (or around) March 16th 2022, agency officials representing the DOJ confirmed that they had settled a lawsuit filed against them for the February 14th 2018 mass-shooting in Parkland, Florida. For very obvious reasons, the Association for the Advancement of Civil Liberties (AACL) is deeply concerned about the decision of the FBI to take some responsibility for February 14th 2018 mass-shooting in Parkland, Florida but not for the November 02nd 2018 shooting in Tallahassee, Florida. As a matter of principle, the AACL unequivocally condemns gun related violence committed in the U.S.A and/or elsewhere in the world. The AACL also condemns the systemic racism and sexism that is fueling the U.S.A gun violence public health epidemic. Be well. Take care. Keep yourselves at arms distance. W (AACL) Michael A. Ayele Anti-Racist Human Rights Activist Audio-Visual Media Analyst Anti-Propaganda Journalist
On plane-wave relativistic electrodynamics in plasmas and in vacuum
Creators: name: Fiore, Gaetano
Publisher: name: arXiv
Year: 2013
Subjects: subject: Mathematical Physics (math-ph)
subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences
subject: 76Wxx, 82D10, 35Qxx, 45Gxx

description: We revisit the exact microscopic equations (in differential, and equivalent integral form) ruling a relativistic cold plasma after the plane-wave Ansatz, without customary approximations. We show that in the Eulerian description the motion of a very diluted plasma initially at rest and excited by an arbitrary transverse plane electromagnetic travelling-wave has a very simple and explicit dependence on the transverse electromagnetic potential; for a non-zero density plasma the above motion is a good approximation of the real one as long as the back-reaction of the charges on the electromagnetic field can be neglected, i.e. for a time lapse decreasing with the plasma density, and can be used as initial step in an iterative resolution scheme. As one of many possible applications, we use these results to describe how the ponderomotive force of a very intense and short plane laser pulse hitting normally the surface of a plasma boosts the surface electrons into the ion background. Because of this penetration the electrons are then pulled back by the electric force exerted by the ions and may leave the plasma with high energy in the direction opposite to that of propagation of the pulse [G. Fiore, R. Fedele, U. De Angelis, "The slingshot effect: a possible new laser-driven high energy acceleration mechanism for electrons", arXiv:1309.1400].
description: Final version to appear in J. Phys. A. Reorganization of former sections 2-4 into new section2, references added, various points clarified, typos corrected. LateX2e file, 22 pages, 12 figures
Djerfisherite: Nebular Source of Refractory Potassium
Creators: name: Ebel, Denton S.
name: Sack, Richard O.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Geophysics (physics.geo-ph)
subject: FOS: Physical sciences

description: Djerfisherite is an important carrier of potassium in highly reduced enstatite chondrites, where it occurs in sub-round metal-sulfide nodules. These nodules were once free-floating objects in the protoplanetary nebula. Here, we analyze existing and new data to derive an equation of state (EOS) for djerfisherites of K_{6}(Cu,Fe,Ni)^{B} (Fe,Ni,Cu)^{C}_{24} S_{26}Cl structural formula. We use this EOS to calculate the thermal stability of djerfisherite coexisting in equilibrium with a cooling vapor of solar composition enriched in a dust analogous to anhydrous, chondritic interplanetary dust (C-IDP). We find that condensed mineral assemblages closely match those found in enstatite chondrites, with djerfisherite condensing above 1000 K in C-IDP dust enriched systems. Results may have implications for the volatile budgets of terrestrial planets, and the incorporation of K into early-formed, highly reduced, planetary cores. Previous work links enstatite chondrites to the planet Mercury, where the surface has a terrestrial K/Th ratio, high S/Si ratio, and very low FeO content. Mercury's accretion history may yield insights into Earth's.
description: 18 pages, 5 figures, 4 tables
Large Scale Structure Formation in Eddington-inspired Born-Infeld Gravity
Creators: name: Du, Xiao-Long
name: Yang, Ke
name: Meng, Xin-He
name: Liu, Yu-Xiao
Publisher: name: arXiv
Year: 2014
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the large scale structure formation in Eddington-inspired Born-Infeld (EiBI) gravity. It is found that the linear growth of scalar perturbations in EiBI gravity deviates from that in general relativity for modes with large wave numbers ($k$), but the deviation is largely suppressed with the expansion of the Universe. We investigate the integrated Sachs-Wolfe effect in EiBI gravity, and find that its effect on the angular power spectrum of the anisotropy of the cosmic microwave background (CMB) is almost the same as that in the Lambda-cold dark matter ($Λ$CDM) model. We further calculate the linear matter power spectrum in EiBI gravity and compare it with that in the $Λ$CDM model. Deviation is found on small scales ($k\gtrsim 0.1 h$ Mpc$^{-1}$), which can be tested in the future by observations from galaxy surveys.
description: 11 pages, 3 figures, improved version to be published in Phys. Rev. D
Mode invisibility as a quantum non-demolition measurement of coherent light
Creators: name: Onuma-Kalu, Marvellous
name: Mann, Robert B.
name: Martin-Martinez, Eduardo
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We exploit geometric properties of quantum states of light in optical cavities to carry out quantum non-demolition measurements. We generalize the 'mode invisibility' method to obtain information about the Wigner function of a squeezed coherent state in a non-destructive way. We also simplify the application of this non-demolition technique to measure single-photon and few-photon states.
description: 14 pages, 10 figures. Revtex 4.1, V2: Updated to published version
Aislamiento y caracterización biológica de las substancias activas presentes en la anémona Lebrunia danae (Duchassaing & Michelotti, 1860) /
Creators: name: Cruz Vázquez, Karina
Publisher: name: Universidad Autónoma de Baja California.
Year: 2022
Subjects: subject: Toxinas marinas||Anémonas||Nematocistos Análisis||Oceanología||Tesis
subject: QP632.M37 C78 2004

description: Las toxinas de organismos marinos han sido tema de interés debido a que algunas presentan actividades especificas por lo que pueden ser utilizadas como importantes herramientas biológicas; otro aspecto a considerar es que muchas de ellas pueden tener potencial farmacológico.
AMR : influencing factors and potentials of cloud-robotics
Creators: name: Morgenstern, Julian
name: Zadek, Hartmut
Publisher: name: Otto von Guericke University Library, Magdeburg, Germany
Year: 2023
Subjects: subject: Automated guided vehicles (AGV)
subject: AMR deployment
subject: 620

description: In recent decades, automated guided vehicles (AGV) have become the symbol of automated material flows in intralogistics. Technological progress helps AGVs to achieve an ever-higher degree of autonomy, enables free navigation and has led to AGVs nowadays increasingly being called autonomous mobile robots (AMR). This constant technological progress requires that the field and use of AMR be constantly reviewed and improvements sought. One potential approach, especially to make AMR fleets more efficient, flexible and scalable for future deployment, is cloud-robotics, whose main advantage is the on-demand provisioning of various IT-services. The aim of this paper is to determine the currently critical influencing factors regarding efficient AMR deployment and to highlight possible combinations of AMRs with a cloud. The influencing factors are determined by means of a systematic literature review (SLR) and completed and verified by means of an application-oriented reference process. The result is an overview of the currently critical influencing factors, prevailing deployment barriers and future potentials of AMRs.
An axial gauge ansatz for higher spin theories
Creators: name: Gubser, Steven S.
name: Song, Wei
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We present an ansatz which makes the equations of motion more tractable for the simplest of Vasiliev's four-dimensional higher spin theories. The ansatz is similar to axial gauge in electromagnetism. We present a broad class of solutions in the gauge where the spatial connection vanishes, and we discuss the lift of one of these solutions to a full spacetime solution via a gauge transformation.
description: 12 pages. v2: Noted a complication with spacetime interpretation. v3: Revised section 4, correcting a limiting process
Enabling High Performance Debugging for Variational Quantum Algorithms using Compressed Sensing
Creators: name: Liu, Kun
name: Hao, Tianyi
name: Tannu, Swamit
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Hardware Architecture (cs.AR)
subject: Emerging Technologies (cs.ET)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Variational quantum algorithms (VQAs) can potentially solve practical problems using contemporary Noisy Intermediate Scale Quantum (NISQ) computers. VQAs find near-optimal solutions in the presence of qubit errors by classically optimizing a loss function computed by parameterized quantum circuits. However, developing and testing VQAs is challenging due to the limited availability of quantum hardware, their high error rates, and the significant overhead of classical simulations. Furthermore, VQA researchers must pick the right initialization for circuit parameters, utilize suitable classical optimizer configurations, and deploy appropriate error mitigation methods. Unfortunately, these tasks are done in an ad-hoc manner today, as there are no software tools to configure and tune the VQA hyperparameters. In this paper, we present OSCAR (cOmpressed Sensing based Cost lAndscape Reconstruction) to help configure: 1) correct initialization, 2) noise mitigation techniques, and 3) classical optimizers to maximize the quality of the solution on NISQ hardware. OSCAR enables efficient debugging and performance tuning by providing users with the loss function landscape without running thousands of quantum circuits as required by the grid search. Using OSCAR, we can accurately reconstruct the complete cost landscape with up to 100X speedup. Furthermore, OSCAR can compute an optimizer function query in an instant by interpolating a computed landscape, thus enabling the trial run of a VQA configuration with considerably reduced overhead.
description: 13 pages, 13 figures. KL and TH contributed equally to this work
Evaluation of the digital transformation from VSM to Value Stream Management 4.0
Creators: name: Döring, Lina
name: Wollert, Tim
name: Behrendt, Fabian
Publisher: name: Otto von Guericke University Library, Magdeburg, Germany
Year: 2023
Subjects: subject: Value Stream Management 4.0
subject: 620

description: As recent shocks, e.g., the COVID-19 pandemic and international conflicts prove, the environment of supply chains gets more volatile and static configurations suffers from fragility. Higher variety, shorter product life cycle, increasing competition, fragility of supply chains and further issues present companies with new challenges. The application of information and communication technologies plays an important key role for companies in solving today’s challenges. In this context, the combination of conventional methodologies like Lean Management (LM) and modern technologies according to Industry 4.0 is an important field of recent research. Especially, the application of Value Stream Management (VSM) in dynamic environments is widely investigated and different approaches are provided for taking information logistics into account as well as utilizing data for improving the methodology at all. Limitations of the conventional VSM are the basis for justifying the transformation to a VSM 4.0. A critical evaluation of measures for the transformation from the conventional VSM to VSM 4.0, based on a comparison of benefits and efforts for reasoning the transition from a company’s perspective is missing. Aim of the paper at hand is the provision of an evaluation framework for companies, already applying the conventional VSM.
Quadrupolar Excitons and Hybridized Interlayer Mott Insulator in a Trilayer Moiré Superlattice
Creators: name: Lian, Zhen
name: Chen, Dongxue
name: Ma, Lei
name: Meng, Yuze
name: Su, Ying
name: Yan, Li
name: Huang, Xiong
name: Wu, Qiran
name: Chen, Xinyue
name: Blei, Mark
name: Taniguchi, Takashi
name: Watanabe, Kenji
name: Tongay, Sefaattin
name: Zhang, Chuanwei
name: Cui, Yong-Tao
name: Shi, Su-Fei
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Transition metal dichalcogenide (TMDC) moiré superlattices, owing to the moiré flatbands and strong correlation, can host periodic electron crystals and fascinating correlated physics. The TMDC heterojunctions in the type-II alignment also enable long-lived interlayer excitons that are promising for correlated bosonic states, while the interaction is dictated by the asymmetry of the heterojunction. Here we demonstrate a new excitonic state, quadrupolar exciton, in a symmetric WSe2-WS2-WSe2 trilayer moiré superlattice. The quadrupolar excitons exhibit a quadratic dependence on the electric field, distinctively different from the linear Stark shift of the dipolar excitons in heterobilayers. This quadrupolar exciton stems from the hybridization of WSe2 valence moiré flatbands. The same mechanism also gives rise to an interlayer Mott insulator state, in which the two WSe2 layers share one hole laterally confined in one moiré unit cell. In contrast, the hole occupation probability in each layer can be continuously tuned via an out-of-plane electric field, reaching 100% in the top or bottom WSe2 under a large electric field, accompanying the transition from quadrupolar excitons to dipolar excitons. Our work demonstrates a trilayer moiré system as a new exciting playground for realizing novel correlated states and engineering quantum phase transitions.
Solución de las ecuaciones de Maxwell utilizando un método numérico para simular una señal electromagnética propagándose a través de un medio /
Creators: name: Covarrubias Martínez, Dania
Publisher: name: Universidad Autónoma de Baja California.
Year: 2022
Subjects: subject: Ingeniería Matemáticas Procesamiento de datos||Cálculo numérico Procesamiento de datos||Ingeniero en electrónica Tésis
subject: TA345 C67 2004

description: Gracias a que la tecnología avanza constantemente, se han podido generar computadoras con procesadores muy potentes, los cuales son de gran utilidad para la solución de métodos numéricos, ya que ahorran tiempo y esfuerzo en la realización de los cálculos numéricos.
NAVIGATING THE FUTURE - HOW AR IS REVOLUTIONIZING NAVIGATION AND WAYFINDING
Creators: name: Brandl, Edenilson
Publisher: name: Zenodo
Year: 2023
Subjects: Augmented Reality
Navigation
Wayfinding
Spatial Awareness
User Experience Design
Inclusivity
Ethical Considerations
AR Applications
Accessibility
Cultural Heritage

description: This systematic review explores the transformative impact of Augmented Reality (AR) on navigation and wayfinding, integrating insights from scholarly books, academic publications, and authoritative sources. Employing a rigorous approach, the review examines AR's potential in reshaping navigation experiences, focusing on spatial awareness, accessibility, user experience design, and ethical considerations. The study encompasses a diverse range of contexts, including urban environments, healthcare, education, space exploration, maritime navigation, and cultural heritage. The findings highlight AR's ability to enhance spatial understanding, provide inclusive guidance for individuals with disabilities, and bridge the gap between physical and digital worlds. Key themes include the importance of intuitive User Experience (UX) design, ethical frameworks for responsible data utilization, and the ongoing development of AR hardware. Augmented Reality emerges not only as a technological innovation but as a transformative force redefining how individuals navigate and connect with the physical world, promising a future enriched by deeper spatial insights and inclusive experiences.
 
Diese systematische Übersicht untersucht die transformativen Auswirkungen von Augmented Reality (AR) auf Navigation und Wegfindung und integriert Erkenntnisse aus wissenschaftlichen Büchern, wissenschaftlichen Veröffentlichungen und maßgeblichen Quellen. Mit einem strengen Ansatz untersucht die Überprüfung das Potenzial von AR bei der Neugestaltung von Navigationserlebnissen und konzentriert sich dabei auf räumliches Bewusstsein, Zugänglichkeit, Benutzererfahrungsdesign und ethische Überlegungen. Die Studie umfasst eine Vielzahl von Kontexten, darunter städtische Umgebungen, Gesundheitswesen, Bildung, Weltraumforschung, Seeschifffahrt und kulturelles Erbe. Die Ergebnisse unterstreichen die Fähigkeit von AR, das räumliche Verständnis zu verbessern, integrative Anleitung für Menschen mit Behinderungen zu bieten und die Lücke zwischen physischer und digitaler Welt zu schließen. Zu den Hauptthemen gehören die Bedeutung eines intuitiven User Experience (UX)-Designs, ethische Rahmenbedingungen für eine verantwortungsvolle Datennutzung und die kontinuierliche Entwicklung von AR-Hardware. Augmented Reality erweist sich nicht nur als technologische Innovation, sondern auch als transformative Kraft, die die Art und Weise, wie Menschen mit der physischen Welt navigieren und sich mit ihr verbinden, neu definiert und eine Zukunft verspricht, die durch tiefere räumliche Einblicke und integrative Erfahrungen bereichert wird.
Mechanically exfoliated low-layered [Ca$_2$CoO$_3$]$_{0.62}$[CoO$_2$]: A single-crystalline p-type transparent conducting oxide
Creators: name: Okada, Reiji
name: Isomura, Hiroto
name: Sato, Yoshiki J.
name: Okazaki, Ryuji
name: Inoue, Masayuki
name: Yoshioka, Shinya
Publisher: name: arXiv
Year: 2023
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Applied Physics (physics.app-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Transparent conducting oxides (TCOs) are essential components of optoelectronic devices and various materials have been explored for highly efficient TCOs having a combination of high transmittance and low sheet resistance. Here, we focus on a misfit thermoelectric oxide [Ca$_2$CoO$_3$]$_{0.62}$[CoO$_2$] and fabricate the transparent low-layered crystals by a mechanical tape-peeling method using the single-crystalline samples. From the transmittance measurement, we find that the thickness of low-layered samples is several orders of hundred nanometers, which is comparable with the estimation from the scanning electron microscopy images. Compared to the previous results on the polycrystalline and $c$-axis oriented transparent films, the electrical resistivity is reduced owing to the single-crystalline nature. The figure of merit for the transparent conducting materials in the present low-layered samples is then evaluated to be higher than the values in the previous reports. The present results on the low-layered single-crystalline [Ca$_2$CoO$_3$]$_{0.62}$[CoO$_2$] may offer a unique class of multi-functional transparent thermoelectric oxides.
description: 6 pages, 4 figures, 1 table. This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing
Academic thinking in science logistics
Creators: name: Glistau, Elke
name: Trojahn, Sebastian
name: Zadek, Hartmut
name: Coello Machado, Norge Isaias
name: Brinken, Julius
Publisher: name: Otto von Guericke University Library, Magdeburg, Germany
Year: 2023
Subjects: subject: Logistics
subject: 620

description: The scientific discipline of logistics has existed at universities and colleges for about 45 years and trains young academics for the industry and for logistics tasks in all other areas (e.g., trade, transport, hospital, administration, military. hazardous goods logistics, disaster logistics). Subtly and yet noticeably, logisticians are characterized by a special way of thinking. The task is to make this academic logistical thinking explicit, but not retrospectively, declaratively, but on the state of the year 2023. This work is intended to contribute to basic research and academic teaching in logistics. The authors characterize logistical thinking and then provide some guidance accordingly, that can be used, for example, in the analysis, design, optimization, improvement and planning of logistical solutions and have a high degree of general validity. The research is based on the authors' many years of expertise in the field of Supply Chain Management, Logistics and Material Handling combined with a comprehensive German literature review and the evaluation of current academic education, research projects and trends.
Investigation of Self-supervised Pre-trained Models for Classification of Voice Quality from Speech and Neck Surface Accelerometer Signals
Creators: name: Kadiri, Sudarsana Reddy
name: Javanmardi, Farhad
name: Alku, Paavo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: Multimedia (cs.MM)
subject: Sound (cs.SD)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Prior studies in the automatic classification of voice quality have mainly studied the use of the acoustic speech signal as input. Recently, a few studies have been carried out by jointly using both speech and neck surface accelerometer (NSA) signals as inputs, and by extracting MFCCs and glottal source features. This study examines simultaneously-recorded speech and NSA signals in the classification of voice quality (breathy, modal, and pressed) using features derived from three self-supervised pre-trained models (wav2vec2-BASE, wav2vec2-LARGE, and HuBERT) and using a SVM as well as CNNs as classifiers. Furthermore, the effectiveness of the pre-trained models is compared in feature extraction between glottal source waveforms and raw signal waveforms for both speech and NSA inputs. Using two signal processing methods (quasi-closed phase (QCP) glottal inverse filtering and zero frequency filtering (ZFF)), glottal source waveforms are estimated from both speech and NSA signals. The study has three main goals: (1) to study whether features derived from pre-trained models improve classification accuracy compared to conventional features (spectrogram, mel-spectrogram, MFCCs, i-vector, and x-vector), (2) to investigate which of the two modalities (speech vs. NSA) is more effective in the classification task with pre-trained model-based features, and (3) to evaluate whether the deep learning-based CNN classifier can enhance the classification accuracy in comparison to the SVM classifier. The results revealed that the use of the NSA input showed better classification performance compared to the speech signal. Between the features, the pre-trained model-based features showed better classification accuracies, both for speech and NSA inputs compared to the conventional features. It was also found that the HuBERT features performed better than the wav2vec2-BASE and wav2vec2-LARGE features.
description: Accepted by Computer Speech & Language
Codes for Tasks and Rényi Entropy Rate
Creators: name: Bunte, Christoph
name: Lapidoth, Amos
Publisher: name: arXiv
Year: 2013
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: A task is randomly drawn from a finite set of tasks and is described using a fixed number of bits. All the tasks that share its description must be performed. Upper and lower bounds on the minimum $ρ$-th moment of the number of performed tasks are derived. The key is an analog of the Kraft Inequality for partitions of finite sets. When a sequence of tasks is produced by a source of a given Rényi entropy rate of order $1/(1+ρ)$ and $n$ tasks are jointly described using $nR$ bits, it is shown that for $R$ larger than the Rényi entropy rate, the $ρ$-th moment of the ratio of performed tasks to $n$ can be driven to one as $n$ tends to infinity, and that for $R$ less than the Rényi entropy rate it tends to infinity. This generalizes a recent result for IID sources by the same authors. A mismatched version of the direct part is also considered, where the code is designed according to the wrong law. The penalty incurred by the mismatch can be expressed in terms of a divergence measure that was shown by Sundaresan to play a similar role in the Massey-Arikan guessing problem.
description: 5 pages, to be presented at ISIT 2014; minor changes in the presentation, added a reference