cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
On Generalizing Trace Minimization Principles, II
Creators: name: Liang, Xin
name: Li, Ren-Cang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 15A18, 15A22, 15A42

description: This paper is concerned with establishing a trace minimization principle for two Hermitian matrix pairs. Specifically, we will answer the question: when is $\inf_X\operatorname{tr}(\widehat AX^{\rm H}AX)$ subject to $\widehat BX^{\rm H}BX=I$ (the identity matrix of apt size) finite? Sufficient and necessary conditions are obtained and, when the infimum is finite, an explicit formula for it is presented in terms of the finite eigenvalues of the matrix pairs. Our results extend Fan's trace minimization principle (1949) for a Hermitian matrix, a minimization principle of Kovač-Striko and Veselić (1995) for a Hermitian matrix pair, and most recent ones by the authors and their collaborators for a Hermitian matrix pair and a Hermitian matrix.
description: 26 pages
New Resonances of Supernova Neutrinos in Twisting Magnetic Fields
Creators: name: Jana, Sudip
name: Porto, Yago
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We investigate the effect of resonant spin conversion of the neutrinos induced by the geometrical phase in a twisting magnetic field. We find that the geometrical phase originating from the rotation of the transverse magnetic field along the neutrino trajectory can trigger a new resonant spin conversion of Dirac neutrinos inside the supernova, even if there were no such transitions in the fixed-direction field case. We have shown that even though resonant spin conversion is too weak to affect solar neutrinos, it could have a remarkable consequence on supernova neutronization bursts where very intense magnetic fields are quite likely. We demonstrate how the flavor composition at Earth can be used as a probe to establish the presence of non-negligible magnetic moments, potentially down to $10^{-15}~μ_B$ in upcoming neutrino experiments like the Deep Underground Neutrino Experiment (DUNE), and the Hyper-Kamiokande (HK). Possible implications are analyzed.
description: 5 pages + references, 3 figures, version to appear in Phys. Rev. Lett
PEANUTS: a software for the automatic computation of solar neutrino flux and its propagation within Earth
Creators: name: Gonzalo, Tomás E.
name: Lucente, Michele
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We present PEANUTS (Propagation and Evolution of Active NeUTrinoS), an open-source Python package for the automatic computation of solar neutrino spectra and active neutrino propagation through Earth. PEANUTS is designed to be fast, by employing analytic formulae for the neutrino propagation through varying matter density, and flexible, by allowing the user to input arbitrary solar models, custom Earth density profiles and general detector locations. It provides functionalities for a fully automated simulation of solar neutrino fluxes at a detector, as well as access to individual routines to perform more specialised computations. The software has been extensively tested against the results of the SNO experiment, providing excellent agreement with their results. In addition, the present text contains a pedagogical derivation of the relations needed to compute the oscillated solar neutrino spectra, neutrino propagation through Earth and nadir exposure of an experiment.
description: 37 pages, 11 figures
Formen der Kooperation von Lehrpersonen und ihr Zusammenhang mit Berufsmotivation
Creators: name: Keller-Schneider, Manuela
name: Albisser, Stefan
Publisher: name: Zenodo
Year: 2013
Subjects: Lehrprofession
Lehrperson
Schulkollegium
Kooperation
Berufsmotive

description: Kooperation als Qualitätsmerkmal von Kollegien guter Schulen stellt Anforderungen der Anerkennung anderer Professioneller und der professionellen Interaktion mit denselben. Dass Lehrpersonen eher wenig kooperieren wird immer wieder festgestellt – inwiefern individuelle Merkmale wie Berufsmotive die Kooperationsbereitschaft mitbestimmen, ist bislang wenig geklärt. Der Volltext dieses Sammelbands ist innerhalb des Netzwerks der PH Zürich hier zugänglich.
description: +repphzhbib2013A
El testamento de Cristo: Digital edition
Creators: name: Leblanc Elina
Publisher: name: Zenodo
Year: 2021
Subjects: Spanish literature
Digital edition
XML-TEI

description: Digital edition of a Spanish pliego de cordel, published by the Andalusian printer José María Moreno (19th c.). It contains the XML-TEI file of the edition, as well as the files that led to this edition, i.e. the digital facsimiles (raw and retouched), and the transcription produced by the OCR tool Transkribus (PAGE-XML). This digital edition is a part of the research project Desenrollando el cordel / Untangling the cordel / Démêler le cordel (2020-2022), led by the professor Constance Carta at the University of Geneva and supported by the philanthropic Sandoz-Monique de Meuron Family Foundation.
El testamento de Cristo: Digital edition
Creators: name: Leblanc Elina
Publisher: name: Zenodo
Year: 2022
Subjects: Spanish literature
Digital edition
XML-TEI

description: Digital edition of a Spanish pliego de cordel, published by the Andalusian printer José María Moreno (19th c.). It contains the XML-TEI file of the edition, as well as the files that led to this edition, i.e. the digital facsimiles (raw and retouched), and the transcription produced by the OCR tool Transkribus (PAGE-XML). This digital edition is a part of the research project Desenrollando el cordel / Untangling the cordel / Démêler le cordel (2020-2024), led by the professor Constance Carta at the University of Geneva and supported by the philanthropic Sandoz-Monique de Meuron Family Foundation.
Comparison of methods of estimation for parameters of generalized Poisson distribution through simulation study
Creators: name: Y. S. Wagh
name: K. K. Kamalja
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biophysics
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer

description: In this article, we take a brief overview of different functional forms of generalized Poisson distribution (GPD) and various methods of its parameter estimation found in the literature. We compare the method of moment estimation (ME) and maximum likelihood estimation (MLE) of parameters of GPD through simulation study in terms of bias, MSE and covariance. To simulate random numbers from GPD, we develop a Matlab function gpoissrnd(). The simulation study leads to the important conclusion that the ME performs better or equally good as compared to MLE when sample size is small. Further we fit the GPD to various datasets in literature using both estimation methods and observe that the results do not differ significantly even though the sample size is large. Overall, we conclude that for GPD, use of ME in place of MLE will lead to almost similar results. The computational simplicity in calculation of ME as compared to MLE also gives support to the use of ME in case of GPD for practitioners.
Additional file 3 of Trends in the epidemiology of young-onset colorectal cancer: a worldwide systematic review
Creators: name: Din, Khalid Saad El
name: Loree, Jonathan M.
name: Sayre, Eric C.
name: Gill, Sharlene
name: Brown, Carl J.
name: Dau, Hallie
name: Vera, Mary A. De
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 3: Table S2. Quality appraisal checklist
Spin-induced offset stream self-crossing shocks in tidal disruption events
Creators: name: Jankovič, Taj
name: Bonnerot, Clément
name: Gomboc, Andreja
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Tidal disruption events occur when a star is disrupted by a supermassive black hole, resulting in an elongated stream of gas that partly falls back to the pericenter. Due to apsidal precession, the returning stream may collide with itself, leading to a self-crossing shock that launches an outflow. If the black hole spins, this collision may additionally be affected by Lense-Thirring precession that can cause an offset between the two stream components. We study the impact of this effect on the outflow properties by carrying out local simulations of collisions between offset streams. As the offset increases, we find that the geometry of the outflow becomes less spherical and more collimated along the directions of the incoming streams, with less gas getting unbound by the interaction. However, even the most grazing collisions we consider significantly affect the trajectories of the colliding gas, likely promoting subsequent strong interactions near the black hole and rapid disc formation. We analytically compute the dependence of the offset to stream width ratio, finding that even slowly spinning black holes can cause both strong and grazing collisions. We estimate that the self-crossing shock luminosity is lower for an offset collision than an aligned one since radiation energy injected by the shock is significantly lower for more offset collisions. We find that the deviation from outflow sphericity may cause significant variations in the efficiency at which X-ray radiation from the disc is reprocessed to the optical band, depending on the viewing angle, and increase the degree of the observed polarization. These potentially observable features hold the promise of constraining the black hole spin from tidal disruption events.
description: 15 pages, 12 figures, published in MNRAS. Movies from the simulations are available at https://www.youtube.com/playlist?list=PLH8qhWjKWQ91adY0ae1lD2vRVbaerSWmb
Analytical Models for Examining Media Supply and Demand Side and the Legal and Regulatory Context of Both Sides: Operationalization Proposals (MeDeMAP deliverable 2.2)
Creators: name: Carpentier, Nico
name: Wimmer, Jeffrey
Publisher: name: Zenodo
Year: 2024
Subjects: subject: Media and communications
subject: FOS: Media and communications
subject: Democracy
subject: Political communication

description: A technical deliverable, that contains a series of operationalization proposals for the MeDeMAP deliverables
The State of Diversity and Inclusion in Apache: A Pulse Check
Creators: name: Feng, Zixuan
name: Guizani, Mariam
name: Gerosa, Marco A.
name: Sarma, Anita
Publisher: name: arXiv
Year: 2023
Subjects: subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: Diversity and inclusion in open source software (OSS) is a multifaceted concept that arises from differences in contributors' gender, seniority, language, region, and other characteristics. D&I has received growing attention in OSS ecosystems and projects, and various programs have been implemented to foster contributor diversity. However, we do not yet know how the state of D&I is evolving. By understanding the state of D&I in OSS projects, the community can develop new and adjust current strategies to foster diversity among contributors and gain insights into the mechanisms and processes that facilitate the development of inclusive communities. In this paper, we report and compare the results of two surveys of Apache Software Foundation (ASF) contributors conducted over two years (n=624 & n=432), considering a variety of D&I aspects. We see improvements in engagement among those traditionally underrepresented in OSS, particularly those who are in gender minority or not confident in English. Yet, the gender gap in the number of contributors remains. We expect this study to help communities tailor their efforts in promoting D&I in OSS.
description: 11 pages, 1 figure
Interaction Between GMAC-m-CS and Surfactants: Surface Tension and Conductivity Methods
Creators: name: Chuanguang Zhang
name: Xiaodeng Yang
name: Shijie Wang
name: Junying Li
name: Yuezhi Cui
name: Tianduo Li
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: Glycidyl trimethyl ammonium chloride-modified chitosan (GMAC-m-CS) was synthesized through nucleophilic substitution of GMAC on CS in isopropanol dispersed system, which was characterized by FTIR and 1H NMR methods. The interaction between GMAC-m-CS and surface active ILs −1-dodecyl (tetradecyl and hexadecyl)-3-methylimidazolium bromide (CnmimBr, n = 12, 14, 16) was studied by surface tension and conductivity methods. The amount of CnmimBr adsorbed on GMAC-m-CS increases first with raising temperature, and then decreases, which reaches the largest amount at 30°C. The amount increases with the increase of alkyl chain length. The surface tension reducing capabilities of GMAC-m-CS/CnmimBr systems increase with temperature, however, decrease with the increase of GMAC-m-CS concentration. The aggregation processes of C14mimBr in solutions without GMAC-m-CS and with high concentration of GMAC-m-CS were entropy driven; however, it is enthalpy driven in solutions with low concentration of GMAC-m-CS. Based on the analysis of properties of GMAC-m-CS/CnmimBr, the interaction model of GMAC-m-CS/ILs was proposed.
Additional file 4 of Trends in the epidemiology of young-onset colorectal cancer: a worldwide systematic review
Creators: name: Din, Khalid Saad El
name: Loree, Jonathan M.
name: Sayre, Eric C.
name: Gill, Sharlene
name: Brown, Carl J.
name: Dau, Hallie
name: Vera, Mary A. De
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 4: Table S3. Reported incidence rates (per 100,000) for yCRC overall and according to sex among included studies
Homogeneity Tests and Interval Estimations of Risk Differences for Stratified Bilateral and Unilateral Correlated Data
Creators: name: Liang, Shuyi
name: Fang, Kai-Tai
name: Huang, Xin-Wei
name: Xin, Yijing
name: Ma, Chang-Xing
Publisher: name: arXiv
Year: 2023
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: In clinical trials studying paired parts of a subject with binary outcomes, it is expected to collect measurements bilaterally. However, there are cases where subjects contribute measurements for only one part. By utilizing combined data, it is possible to gain additional information compared to using bilateral or unilateral data alone. With the combined data, this article investigates homogeneity tests of risk differences with the presence of stratification effects and proposes interval estimations of a common risk difference if stratification does not introduce underlying dissimilarities. Under Dallal's model \citeyearpar{dallal1988paired}, we propose three test statistics and evaluate their performances regarding type I error controls and powers. Confidence intervals of a common risk difference with satisfactory coverage probabilities and interval length are constructed. Our simulation results show that the score test is the most robust and the profile likelihood confidence interval outperforms other methods proposed. Data from a study of acute otitis media is used to illustrate our proposed procedures.
description: 59 pages
Optomechanical coupling and damping of a carbon nanotube quantum dot
Creators: name: Hüttner, N.
name: Blien, S.
name: Steger, P.
name: Loh, A. N.
name: Graaf, R.
name: Hüttel, A. K.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Carbon nanotubes are excellent nano-electromechanical systems, combining high resonance frequency, low mass, and large zero-point motion. At cryogenic temperatures they display high mechanical quality factors. Equally they are outstanding single electron devices with well-known quantum levels and have been proposed for the implementation of charge or spin qubits. The integration of these devices into microwave optomechanical circuits is however hindered by a mismatch of scales, between typical microwave wavelengths, nanotube segment lengths, and nanotube deflections. As experimentally demonstrated recently in [Blien et al., Nat. Comm. 11, 1363 (2020)], coupling enhancement via the quantum capacitance allows to circumvent this restriction. Here we extend the discussion of this experiment. We present the subsystems of the device and their interactions in detail. An alternative approach to the optomechanical coupling is presented, allowing to estimate the mechanical zero point motion scale. Further, the mechanical damping is discussed, hinting at hitherto unknown interaction mechanisms.
description: 17 pages, 13 figures, 3 tables; v3: minor corrections
Tag that issue: Applying API-domain labels in issue tracking systems
Creators: name: Santos, Fabio
name: Vargovich, Joseph
name: Trinkenreich, Bianca
name: Santos, Italo
name: Penney, Jacob
name: Britto, Ricardo
name: Pimentel, João Felipe
name: Wiese, Igor
name: Steinmacher, Igor
name: Sarma, Anita
name: Gerosa, Marco A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Software Engineering (cs.SE)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: D.2.0; I.2.7; K.6.3

description: Labeling issues with the skills required to complete them can help contributors to choose tasks in Open Source Software projects. However, manually labeling issues is time-consuming and error-prone, and current automated approaches are mostly limited to classifying issues as bugs/non-bugs. We investigate the feasibility and relevance of automatically labeling issues with what we call "API-domains," which are high-level categories of APIs. Therefore, we posit that the APIs used in the source code affected by an issue can be a proxy for the type of skills (e.g., DB, security, UI) needed to work on the issue. We ran a user study (n=74) to assess API-domain labels' relevancy to potential contributors, leveraged the issues' descriptions and the project history to build prediction models, and validated the predictions with contributors (n=20) of the projects. Our results show that (i) newcomers to the project consider API-domain labels useful in choosing tasks, (ii) labels can be predicted with a precision of 84% and a recall of 78.6% on average, (iii) the results of the predictions reached up to 71.3% in precision and 52.5% in recall when training with a project and testing in another (transfer learning), and (iv) project contributors consider most of the predictions helpful in identifying needed skills. These findings suggest our approach can be applied in practice to automatically label issues, assisting developers in finding tasks that better match their skills.
description: arXiv admin note: text overlap with arXiv:2103.12653
Finite-size subthermal regime in disordered SU(N)-symmetric Heisenberg chains
Creators: name: Saraidaris, Dimitris
name: Li, Jheng-Wei
name: Weichselbaum, Andreas
name: von Delft, Jan
name: Abanin, Dmitry A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: SU(N) symmetry is incompatible with the many-body localized (MBL) phase, even when strong disorder is present. However, recent studies have shown that finite-size SU(2) systems exhibit non-ergodic, subthermal behavior, characterized by the breakdown of the eigenstate thermalization hypothesis, and by the excited eigenstates entanglement entropy that is intermediate between area and volume law. In this work, we extend previous studies of the SU(2)-symmetric disordered Heisenberg model to larger systems, using the time-dependent density matrix renormalization group (tDMRG) method. We simulate quench dynamics from weakly entangled initial states up to long times, finding robust subthermal behavior at stronger disorder. Although we find an increased tendency towards thermalization at larger system sizes, the subthermal regime persists at intermediate time scales, nevertheless, and therefore should be accessible experimentally. At weaker disorder, we observe signatures of thermalization, however, entanglement entropy exhibits slow sublinear growth, in contrast to conventional thermalizing systems. Furthermore, we study dynamics of the SU(3)-symmetric disordered Heisenberg model. Similarly, strong disorder drives the system into subthermal regime, albeit thermalizing phase is broader compared to the SU(2) case. Our findings demonstrate the robustness of the subthermal regime in spin chains with non-Abelian continuous symmetry, and are consistent with eventual thermalization at large system sizes and long time scales, suggested by previous works.
description: 10 pages, 9 figures
Comparison of Methods of Estimation for Parameters of Generalized Poisson Distribution through Simulation Study
Creators: name: Y.S. Wagh
name: K.K. Kamalja
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Mathematics
subject: FOS: Mathematics
subject: Biological Sciences
subject: Earth and Environmental Sciences
subject: Genetics
subject: FOS: Biological sciences
subject: Biophysics

description: In this paper we take a brief overview of different functional forms of Generalized Poisson Distribution (GPD) and various methods of its parameter estimation found in literature. We compare the method of moment estimation (ME) and maximum likelihood estimation (MLE) of parameters of GPD through simulation study in terms of bias, MSE and covariance. To simulate random numbers from GPD, we develop a Matlab function gpoissrnd(). The simulation study leads to the important conclusion that the ME performs better or equally good as compared to MLE when sample size is small.Further we fit the GPD to various datasets in literature using both estimation methods and observe that the results do not differ significantly even though the sample size is large. Overall, we conclude that for GPD, use of ME in place of MLE will lead to almost similar results. The computational simplicity in calculation of ME as compared to MLE also gives support to the use of ME in case of GPD for practitioners.
Galloping Towards Sustainability: Equine Breeding, Climate Change, and Resilience in the Mediterranean
Creators: name: Mohamed Aroua
name: Neila Chafri
name: Maha Tissaoui
name: Sahar Guesmi
name: Samia Ben Said
name: Mokhtar Mahouachi
Publisher: name: Zenodo
Year: 2025

description: Equine breeding plays a crucial role in the socio-economic and cultural landscape of Tunisia, particularly in the semi-arid Mediterranean region of the Kef governorate. This study aimed to classify and analyze the typology of equine breeding systems in this region, considering the environmental, economic, and management constraints breeders face. A structured survey was conducted between October 2021 and June 2022, targeting 50 breeders across 10 localities. Data was analyzed using descriptive statistics, Multiple Factor Analysis, and Hierarchical Clustering Analysis to classify breeding systems and identify their specific characteristics. Results revealed three distinct breeding systems: (1) Leisure and Traditional Games-Oriented Equine Farming (52%), integrating equines into rural cultural practices; (2) Racing and Competitive Equine Farming (46%), focusing on intensive performance breeding; and (3) Elite Breeding for Semen Production (2%), a highly specialized system emphasizing genetic selection and commercialization. The predominant feeding strategies included natural pasture, supplemented by barley, wheat bran, and vitamin-enriched feed. The study highlighted significant economic challenges, with 78% of breeders citing high feed costs and veterinary expenses as major constraints. A PESTEL analysis indicated that political instability, market fluctuations, and environmental constraints (low rainfall, and water scarcity) impact the sustainability of equine farming. A SWOT analysis identified the sector’s strengths (cultural heritage, growing equestrian tourism) and weaknesses (poor market structure, lack of genetic improvement programs), alongside opportunities (development of structured breeding programs) and threats (climate change, increasing production costs).

In conclusion, structured breeding programs, cooperative farming models, and enhanced veterinary care are essential for ensuring the sustainability of equine farming in Tunisia. Future research should focus on optimizing breeding strategies, developing feed alternatives, and improving market access to enhance the economic viability of this sector.
Analysis of strong coupling constant with machine learning and its application
Creators: name: Wang, Xiao-Yun
name: Dong, Chen
name: Liu, Xiang
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In this work, we investigate the nature of the strong coupling constant and related physics. Through the analysis of accumulated experimental data from around the world, we employ the ability of machine learning to unravel its physical laws. The result of our efforts is a formula that captures the expansive panorama of the distribution of the strong coupling constant across the entire energy range. Importantly, this newly derived expression is very similar to the formula derived from the Dyson-Schwinger equations based on the framework of Yang-Mills theory. By introducing the Euler number, $e$, into the functional formula of the strong coupling constant at high energies, we have successfully solved the puzzle of the infrared divergence, which allows for a seamless transition of the strong coupling constant from the perturbative to the non-perturbative energy regime. Moreover, the obtained ghost and gluon dressing function distribution results confirm that the obtained strong coupling constant formula can well describe the physical properties of the non-perturbed regime. In addition, we investigate the QCD strong coupling constant result of the Bjorken sum rule $Γ_1^{p-n}$ and the quark-quark static energy $E_0(r)$, and find that the global energy scale can effectively interpret the experimental data. The results presented in this work shed light on the puzzling properties of quantum chromodynamics and the intricate interplay of strong coupling constants at both low and high energy scales.
description: 10 pages, 7 figures
A background independent notion of causality
Creators: name: Capolupo, Antonio
name: Quaranta, Aniello
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mathematical Physics (math-ph)
subject: Logic (math.LO)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We develop a notion of causal order on a generic manifold as independent of the underlying differential and topological structure. We show that sufficiently regular causal orders can be recovered from a distinguished algebra of sets, which plays a role analogous to that of topologies and $σ$ algebras. We then discuss how a natural notion of measure can be associated to the algebra of causal sets.
description: 13 pages
Activity delay patterns in project networks
Creators: name: Vazquez, Alexei
name: Marasinou, Chrysostomos
name: Kalogridis, Georgios
name: Ellinas, Christos
Publisher: name: arXiv
Year: 2023
Subjects: subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: Delays in activities completion drive human projects to schedule and cost overruns. It is believed activity delays are the consequence of multiple idiosyncrasies without specific patterns or rules. Here we show that is not the case. Using data for 180 construction project schedules, we demonstrate that activity delays satisfy a universal model that we call the law of activity delays. After we correct for delay risk factors, what remains follows a log-normal distribution.
description: 16 pages, 4 figures, 1 table
Early- and Mid-Cretaceous Archosaur Localities of North-Central Texas
Creators: name: Noto, Christopher
name: Farlow, James
name: Strganac, Christopher
name: Adams, Thomas L.
Publisher: name: figshare
Year: 2015
Subjects: subject: Geology
subject: FOS: Earth and related environmental sciences
subject: Paleontology

description: Guidebook for the field trip held October 13, 2015 in conjunction with the 75th Annual Meeting of the Society of Vertebrate Paleontology in Dallas, Texas
Field Trip Leaders:
Thomas Adams, Witte Museum
James Farlow, Indiana University–Purdue University Fort Wayne
Christopher Noto, University of Wisconsin–Parkside
Christopher Strganac, Perot Museum of Nature and Science
Christopher Noto, Editor
2015
title: 02_0068
Creators: name: Wesley Baldwin, John
name: Baldwin, John W.
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2018
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: L'ensemble de ces notes ont été crée par John Baldwin lors d'une de ses premières périodes de résidence à Paris. Ces documents comprennent tous les magistri qu’il avait pu rencontrer dans ses sources. Aux XIIème et XIIIème siècles, les universités n'existant pas encore, le titre de magister s'il évoque certainement une compétence n'est pas rattaché de façon systématique au passage par les écoles. De surcroît, les magistris sont le plus souvent désignés par leur seul prénom. La lecture de ces données est donc difficile et suppose un long travail pour tenter d'identifier un individu auquel on pourrait rattacher plusieurs mentions. John Baldwin avait donc renoncé à utiliser ces données pour donner un prolongement à sa magnifique étude sur les gradués d'université et leur emploi par les Capétiens et les Plantagenêts. Néanmoins, il a conservé ces données et elles sont potentiellement très utile dans le cadre de Studium, comme le sont toutes les mentions dans les volumes des Fasti Ecclesiae Gallicanae de chanoines portant ce titre de magister sans autres précisions. L'ampleur des dépouillements rend ces données très utiles et nous devons une grande reconnaissance à John Baldwin pour avoir pris la peine de faire photocopier ses fiches et de nous les avoir transmises amicalement.
Les données ainsi que les images des fiches sont accessibles sur le site Internet à l'adresse suivante : http://studium-baldwin.lamop.fr/.
Les transcriptions des fiches ont été effectuées par des étudiants de Paris 1 Panthéon - Sorbonne mais elles n'ont pas été corrigées par la suite.
description: Relation: https://lamop.hypotheses.org/
Unsupervised Learning of Robust Spectral Shape Matching
Creators: name: Cao, Dongliang
name: Roetzer, Paul
name: Bernard, Florian
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: We propose a novel learning-based approach for robust 3D shape matching. Our method builds upon deep functional maps and can be trained in a fully unsupervised manner. Previous deep functional map methods mainly focus on predicting optimised functional maps alone, and then rely on off-the-shelf post-processing to obtain accurate point-wise maps during inference. However, this two-stage procedure for obtaining point-wise maps often yields sub-optimal performance. In contrast, building upon recent insights about the relation between functional maps and point-wise maps, we propose a novel unsupervised loss to couple the functional maps and point-wise maps, and thereby directly obtain point-wise maps without any post-processing. Our approach obtains accurate correspondences not only for near-isometric shapes, but also for more challenging non-isometric shapes and partial shapes, as well as shapes with different discretisation or topological noise. Using a total of nine diverse datasets, we extensively evaluate the performance and demonstrate that our method substantially outperforms previous state-of-the-art methods, even compared to recent supervised methods. Our code is available at https://github.com/dongliangcao/Unsupervised-Learning-of-Robust-Spectral-Shape-Matching.
Expressive Quantum Supervised Machine Learning using Kerr-nonlinear Parametric Oscillators
Creators: name: Mori, Yuichiro
name: Nakaji, Kouhei
name: Matsuzaki, Yuichiro
name: Kawabata, Shiro
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum machine learning with variational quantum algorithms (VQA) has been actively investigated as a practical algorithm in the noisy intermediate-scale quantum (NISQ) era. Recent researches reveal that the data reuploading, which repeatedly encode classical data into quantum circuit, is necessary for obtaining the expressive quantum machine learning model in the conventional quantum computing architecture. However, the data reuploding tends to require large amount of quantum resources, which motivates us to find an alternative strategy for realizing the expressive quantum machine learning efficiently. In this paper, we propose quantum machine learning with Kerr-nonlinear Parametric Oscillators (KPOs), as another promising quantum computing device. The key idea is that we use not only the ground state and first excited state but also use higher excited states, which allows us to use a large Hilbert space even if we have a single KPO. Our numerical simulations show that the expressibility of our method with only one mode of the KPO is much higher than that of the conventional method with six qubits. Our results pave the way towards resource efficient quantum machine learning, which is essential for the practical applications in the NISQ era.
description: 13 pages, 8 figures
Structural motifs of Au(I)-Cu(I) N-heterocyclic carbene halide complexes
Creators: name: Nenzel, Michelle M.
name: Chen, Kelly
name: Catalano, Vincent J.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: Biological Sciences
Chemistry
Earth and Environmental Sciences
Cell Biology
Physics
Biochemistry
Biophysics

description: A series of Au(I)-Cu(I) N-heterocyclic carbene (NHC) halide complexes [AuCu2(im(CH2py)2)2X]2+ where X = Cl (1), Br (2), I (3) was prepared by refluxing [AuCu2(im(CH2py)2)2(NCCH3)4]3+ with the appropriate halide in acetonitrile. The compounds were characterized by NMR, absorption, and fluorescence spectroscopy. They feature similar solution behavior and solid-state photoemissions. The solid-state structures feature a rhomboidal [AuCu2X]2+ core which is influenced by the type of halide. Compared to other Au(I)-Cu(I) NHC complexes, 1-3 comprise a new structural motif containing a bridging halide. The benzimidazolium analog of 1 was also characterized crystallographically. The structure of [AuCu2(benzim(CH2py)2)2Cl]2+ (4) features different coordination modes of the NHC ligands with the carbenic carbon bonded to both gold and copper and the pyridyl groups bonded to the same copper(I) ion.
Hydrodynamic traffic flow models including random accidents: A kinetic derivation
Creators: name: Chiarello, Felisia Angela
name: Göttlich, Simone
name: Schilliger, Thomas
name: Tosin, Andrea
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mathematical Physics (math-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Analysis of PDEs (math.AP)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 35Q20, 35Q70, 90B20

description: We present a formal kinetic derivation of a second order macroscopic traffic model from a stochastic particle model. The macroscopic model is given by a system of hyperbolic partial differential equations (PDEs) with a discontinuous flux function, in which the traffic density and the headway are the averaged quantities. A numerical study illustrates the performance of the second order model compared to the particle approach. We also analyse numerically uncertain traffic accidents by considering statistical measures of the solution to the PDEs.
Report on ecosystem services assessment tools
Creators: name: Ungaro, Fabrizio
Publisher: name: Zenodo
Year: 2024
Subjects: Ecosystem Services
MAES Analytical Framework
Land degradation
SEEA-EA

description: The present document is a “Report on ecosystem services assessment tools”. The document describes the state of the art on ecosystem services assessment and mapping, mentioning the contributions of EU projects funded under different programs. The document presents the methods and principles of the MAES analytical framework and provide a brief description of the different available tools for ecosystem services assessment and mapping. In addition, the document presents an example of application of the collaborative and open-source platform for interoperable models and data ARIES for ecosystem services assessment and mapping in one of the NewLife4Dryland study area, the Alta Murgia National Park. ARIES application has access to all information (data and models) available on a web-based Integrated Modelling network and provides a dedicated user interface to compile accounts within the UN System of Environmental-Economic Accounting (SEEA). The SEEA Ecosystem Accounting (SEEA-EA) constitutes an integrated and comprehensive statistical framework for organizing data about habitats and landscapes, measuring the ecosystem services, tracking changes in ecosystem assets, and linking this information to economic and other human activity.
Fermion mixing in curved spacetime
Creators: name: Capolupo, Antonio
name: Lambiase, Gaetano
name: Quaranta, Aniello
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We develop the quantum field theory of fermion mixing in curved spacetime and discuss the role of unitarily inequivalent representations in the particle interpretation of the theory. We derive general oscillation formulae and apply them to specific spcetimes of interest, such as spatially flat FRW metrics and the Schwarzschild spacetime. We exhibit the main deviations from the usual quantum mechanical approach.
description: Presented at DICE 2022 conference
El papel del periodismo y la comunicación en la disminución y erradicación de las violencias basadas en género
Creators: name: González Mantilla, Victoria Elena
Publisher: name: Universidad Externado de Colombia
Year: 2024

description: Objetivos Generales: * Identifica estereotipos y sesgos de género propuestos por la publicidad a partir del análisis de imágenes publicitarias. * Fomenta la creación de publicidad más inclusiva y diversa para un cubrimiento de las VBG. * Reconoce los principios éticos del periodismo frente al tema de género, así como aquellos casos de buen y mal periodismo.
description: El cuarto módulo del Diplomado Claves en comunicación y periodismo contra las violencias basadas en género se centra en enseñar el papel del periodismo en la erradicación de las VBG, fundamental para propiciar una sociedad más justa e igualitaria. Los periodistas deben aprender a tratar este tema de manera adecuada y responsable por varias razones fundamentales: 1.) Sensibilización y conciencia, 2.) Responsabilidad social, 3.) Desafío a los estereotipos y los prejuicios, 4.) Denunciar y prevenir, 5.) Facilitar el diálogo y la educación, 6.) Legitimación de las voces de las víctimas. En resumen, los periodistas tienen un papel fundamental en la lucha contra la violencia de género al informar de manera precisa, sensible y ética sobre este tema, contribuyendo a crear una sociedad más justa e igualitaria.
Axion like particles, fifth force and neutron interferometry
Creators: name: Capolupo, Antonio
name: Giampaolo, Salvatore Marco
name: Quaranta, Aniello
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We report on recent result according to which the fermion-fermion interaction mediated by axions and axion-like particles can be revealed by means of neutron interferometry. We assume that the initial neutron beam is split in two beams which are affected by differently oriented magnetic fields, in order that the phase difference depends only by the axion-induced interaction. In this way, the phase difference is directly related to the presence of axions.
description: Presented at DICE2022 conference
Hacia una comunicación con visión de género
Creators: name: Osses Rivera, Sandra Liliana
Publisher: name: Universidad Externado de Colombia
Year: 2024

description: Objetivos Generales: * Reconoce en los mensajes, las narrativas y el proceso de construcción de la noticia la prevalencia de las violencias de género, con el fin de aportar al logro de un periodismo libre de violencias de género. * Aplica los elementos aprendidos en el diplomado para realizar lecturas críticas con visión de género y aporta con sus realizaciones a una comunicación con enfoque de derechos, Inter seccional y para el cuidado. * Incorpora las herramientas conceptuales y narrativas para diseñar productos periodísticos o comunicativos que contribuyan a la disminución y la erradicación de las violencias basadas en género.
description: El quinto módulo del Diplomado Claves en comunicación y periodismo contra las violencias basadas en género tiene el propósito de construir capacidades para la lectura crítica de las realidades y el manejo de herramientas conceptuales, narrativas y tecnológicas para realizar cambios significativos en las maneras de narrar las cuestiones de la vida social con perspectiva de género. Este módulo funciona como punto de llegada y evidencia de cómo el diplomado puede constituirse en una plataforma para impulsar nuevas narrativas y formas de comunicar e informar sobre la disminución de las múltiples violencias que afectan a las personas de nuestra sociedad, especialmente a las mujeres.
Developing Metadata and Methodologies to Support Assessment of the Social Value of Buildings and Communities in Future Smart Cities
Creators: name: Williams, Andrew
Publisher: name: UH Research Archive
Year: 2019
Subjects: Social language
Metadata
Social value
Buildings
Communities
Social systems
Service
Smart cities
Smart systems
Interoperability

description: The cost of delivering social programmes (health, education, national security etc.) in all OECD countries is rising to an unsustainable level. The Internet of Things and increased connectivity are increasingly being seen by public and private sector organisations as a way of reducing costs and improving service provision. As ICT progresses from existing in standalone devices to all connected devices (IoT) it will provide new opportunities to improve and integrate service provision. However, increasingly the physical existence of humans and their physical environments will become a key part of smart systems and the services they provide. Before this can happen, there is first a need to better understand how physical things can be codified thereby allowing them to be included into a system. Secondly, there is a need to integrate and harmonise all things (appliances, devices, fixtures/fittings, building fabric/components, community services etc.). Thirdly, the social outcomes of that integration need to be understood, and this calls for a new nomenclature, a ‘social language’. This research seeks to address these three challenges by discussing the prioritisation of the needs of an individual and characterising all things in terms of the service they provide. It then proposes how these things might be ‘connected’ to form a mesh network that encompasses both current physical, and future virtual, service-delivery mechanisms. The findings indicate that there is potential to codify things by their services in a meaningful way. It is also clear that this approach would offer much greater analysis of service delivery and be able to optimise that delivery in a more integrated and connected world. To develop the work further requires considerable programming capability and capacity. However, while this research has involved largely theoretical scenarios, it has also developed several online ‘tools’ driven by the need to provide proof-of-concept models to support research as well as potentially generate income. The objective to develop a ‘social language’ was acknowledged from the start as being extremely complex, in essence, trying to codify and systemise individual and community needs—even culture itself. However, it is a starting point for others to fulfil its objective in a practical way. The prize is to truly understand the social value of buildings and things in a smarter future and thereby improve wellbeing and social equity for all.
Programas y sistemas de compliance
Creators: name: Merchán Rosero, Luis Ignacio
Publisher: name: Universidad Externado de Colombia
Year: 2024

description: Objetivos Generales: * Comprende el alcance de los conceptos de programas y sistemas de compliance para desarrollar sus etapas (diseño, desarrollo, implementación, socialización y desmonte). * Aplica los modelos internacionales de los sistemas de compliance, sus similitudes y diferencias, con la finalidad de entender y adoptar sus bases programáticas, la lógica de su desarrollo y la razón de su existencia. * Verifica los entornos de regulación internacional y nacional para desarrollar los programas y sistemas de compliance, e incorporar el conocimiento adquirido a situaciones reales de compliance propuestas en el aula virtual.
description: El curso brindará a los estudiantes las herramientas para desarrollar sistemas y programas de compliance a partir de las necesidades de las organizaciones públicas, empresas privadas o proyectos que requieran implementarlas. El proceso de aprendizaje se fundamenta en la explicación de los modelos de sistemas y los programas de compliance, con la finalidad de entender su desarrollo desde su ideación hasta su implementación e implementación en la organización que lo requiera hasta su eventual desmonte. La existencia de información, así como un marco integral de entendimiento sobre las normas aplicables, le permitirán al estudiante desarrollar sistemas y programas robustos de compilance.
Könyvtár határok nélkül? A tudományos könyvtárak elmosódó határai
Creators: name: Nagy, Zsuzsanna
Publisher: name: figshare
Year: 2015
Subjects: subject: Library and Information Studies
subject: FOS: Media and communications

description: A tudományos könyvtáraknak változtatniuk kell jelenlegi működési modelljükön, tevékenységstruktúrájukon, belső és külső kapcsolatrendszerükön, ha továbbra is az őket fenntartó intézmény központi szereplői kívánnak lenni. Hogyan lehetséges ez, milyen irányban kell elmozdulniuk, felkészültek-e a szerepváltásra?