cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Creators: name: Wang, Guanshuo
name: Yuan, Yufeng
name: Chen, Xiong
name: Li, Jiwei
name: Zhou, Xi
Publisher: name: arXiv
Year: 2018
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: The combination of global and partial features has been an essential solution to improve discriminative performances in person re-identification (Re-ID) tasks. Previous part-based methods mainly focus on locating regions with specific pre-defined semantics to learn local representations, which increases learning difficulty but not efficient or robust to scenarios with large variances. In this paper, we propose an end-to-end feature learning strategy integrating discriminative information with various granularities. We carefully design the Multiple Granularity Network (MGN), a multi-branch deep network architecture consisting of one branch for global feature representations and two branches for local feature representations. Instead of learning on semantic regions, we uniformly partition the images into several stripes, and vary the number of parts in different local branches to obtain local feature representations with multiple granularities. Comprehensive experiments implemented on the mainstream evaluation datasets including Market-1501, DukeMTMC-reid and CUHK03 indicate that our method has robustly achieved state-of-the-art performances and outperformed any existing approaches by a large margin. For example, on Market-1501 dataset in single query mode, we achieve a state-of-the-art result of Rank-1/mAP=96.6%/94.2% after re-ranking.
description: 9 pages, 5 figures. To appear in ACM Multimedia 2018
Direct sampling method for imaging small anomalies: real-data experiments
Creators: name: Park, Won-Kwang
name: Lee, Kwang-Jae
name: Son, Seong-Ho
Publisher: name: arXiv
Year: 2018
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: A direct sampling method (DSM) is designed herein for a real-time detection of small anomalies from scattering parameters measured by a small number of dipole antennas. Applicability of the DSM is theoretically demonstrated by proving that its indicator function can be represented in terms of an infinite series of Bessel functions of integer order and the antenna locations. Experiments using real-data then demonstrate both the effectiveness and limitations of this method.
DELIVERABLE 2.11 - ETHICAL, LEGAL, REGULATORY AND SOCIETAL COMPLIANCE FRAMEWORK REPORT – FINAL VERSION
Creators: name: TELESTO TECHNOLOGIES
Publisher: name: Zenodo
Year: 2021
Subjects: GDPR, EHTICAL ISSUES, PERSONAL DATA

description: The purpose of this analyses is to examine the legal, ethical, regulatory and societal issues associated with the use of the EVAGUIDE system and its capablity to collect, store, analyse and process personal data. In more details, a description of individual’s rights and how may be tampered by new innovative solutions is presented, in line with the new legal framework (GDPR) that defines the obligations and rules on handling personal data and the available tools to comply with the new legal environment in the EU. In addition to the issues and rules/ obligations that have already been identified and suggested, in this deliverable specific attention has been paid to issues concerning the consent of minors, the processing of health data (with focus on people with disabilities who may attend such events) and the legal issues raised by the use of wi-fi tracking methods. A thorough analysis has also been elaborated concerning the privacy/ data protection risks and requirement of wi-fi tracking systems, used for crowd counting analytics by performing statistical analysis of the MAC Identities of the users’ personal communication devices, incl. smartphones, tablets, smartwatches, etc. The addition of the use of artificial intelligence system has also be included in the deliverable, following the European Commission’s proposal for an AI legal framework and presented it on April 21, 2021.
Supplementary Information
Creators: name: Fischer, Eric
Publisher: name: AIP Publishing
Year: 2024
Subjects: classificationCode: 51
subject: Physical sciences
subject: FOS: Physical sciences

description: We provide detailed derivations for (i) the second-order CBO-PT energy corrections for dipole-coupled molecular ensembles under VSC, (ii) the unimolecular CRP and (iii) the bimolecular CRP.
Progress in Electroweak Baryogenesis
Creators: name: Cohen, A. G.
name: Kaplan, D. B.
name: Nelson, A. E.
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Recent work on generating the excess of matter over antimatter in the early universe during the electroweak phase transition is reviewed.
description: 50 pages (figures on request), uses harvmac (table of contents correct for "l" format), UCSD-93-2,BU-HEP-93-4
Exploiting Non-Sequence Data in Dynamic Model Learning
Creators: name: Tzu-Kuo  Huang
Publisher: name: Carnegie Mellon University
Year: 2013
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Virtually all methods of learning dynamic models from data start from the same basic assumption: that the learning algorithm will be provided with a single or multiple sequences of data generated from the dynamic model. However, in quite a few modern time series modeling tasks, the collection of reliable time series data turns out to be a major challenge, due to either slow progression of the dynamic process of interest, or inaccessibility of repetitive measurements of the same dynamic process over time. In most of those situations, however, we observe that it is easier to collect a large amount of non-sequence samples, or random snapshots of the dynamic process of interest without time information. This thesis aims to exploit such non-sequence data in learning a few widely used dynamic models, including fully observable, linear and nonlinear models as well as Hidden Markov Models (HMMs). For fully observable models, we point out several issues on model identifiability when learning from non-sequence data, and develop EM-type learning algorithms based on maximizing approximate likelihood. We also consider the setting where a small amount of sequence data are available in addition to non-sequence data, and propose a novel penalized least square approach that uses non-sequence data to regularize the model. For HMMs, we draw inspiration from recent advances in spectral learning of latent variable models and propose spectral algorithms that provably recover the model parameters, under reasonable assumptions on the generative process of non-sequence data and the true model. To the best of our knowledge, this is the first formal guarantee on learning dynamic models from non-sequence data. We also consider the case where little sequence data are available, and propose learning algorithms that, as in the fully observable case, use non-sequence data to provide regularization, but does so in combination with spectral methods. Experiments on synthetic data and several real data sets, including gene expression and cell image time series, demonstrate the effectiveness of our proposed methods. In the last part of the thesis we return to the usual setting of learning from sequence data, and consider learning bi-clustered vector auto-regressive models, whose transition matrix is both sparse, revealing significant interactions among variables, and bi-clustered, identifying groups of variables that have similar interactions with other variables. Such structures may aid other learning tasks in the same domain that have abundant non-sequence data by providing better regularization in our proposed non-sequence methods.
title: Εκπαίδευση για την πόλη της συμπερίληψης και της προσβασιμότητας μελέτη περίπτωσης πόλη των Τρικάλων
title: Education for the city of iclusion and accessibility case study city of Trikala
titleType: AlternativeTitle
Creators: name: Μπαλλά, Χριστίνα
Publisher: name: Πανεπιστήμιο Πελοποννήσου
Year: 2024
Subjects: subject: Άτομα με ειδικές ανάγκες - Υπηρεσίες για - Τρίκαλα
subject: Άτομα με ειδικές ανάγκες - Εκπαίδευση - Ελλάδα
subject: Ειδική εκπαίδευση
subject: Ενταξιακή εκπαίδευση
subject: Ενσωμάτωση στην εκπαίδευση
subject: People with disabilities - Services for - Trikala
subject: People with disabilities - Education - Greece
subject: Special education
subject: Inclusive education
subject: Mainstreaming in education
subject: Αναπηρία
subject: Εκπαίδευση
subject: Συμπερίληψη
subject: Προσβασιμότητα
subject: Τρίκαλα
subject: Disability
subject: Education
subject: Inclusion
subject: Accessibility
subject: Trikala

description: Ο στόχος της μελέτης είναι να εξετάσει την κατάσταση στην οποία βρίσκονται τα τοπικά εκπαιδευτικά ιδρύματα και πως η εκπαίδευση επιδρά στην προσβασιμότητα και στην συμπερίληψη των ατόμων με αναπηρία της πόλης των Τρικάλων. Με ποιους τρόπους οι φορείς συμμετέχουν και συμβάλλουν στην βελτίωση των υπηρεσιών που παρέχονται και πόσο εύκολη είναι η συνεργασία μεταξύ των φορέων για τη δημιουργία πολιτιστικών εκδηλώσεων με σκοπό την ευαισθητοποίηση των πολιτών σε θέματα που αφορούν τα άτομα με αναπηρία που κατοικούν στην πόλη. Αυτή η μελέτη εφαρμόζει το θεωρητικό πλαίσιο προκειμένου να διερευνήσει το θέμα και το στάδιο ανάπτυξης των υπηρεσιών που παρέχονται στα άτομα με αναπηρία βρίσκονται στα Τρίκαλα , αλλά και πώς οι φορείς είτε δημόσιοι είτε ιδιωτικοί μπορούν να συμβάλλουν σε αυτή την προσπάθεια. Στην συγκεκριμένη ποιoτική έρευνα η μέθοδος που εφαρμόστηκε είναι υπό μορφή συνεντεύξεων σε ειδικούς επαγγελματίες αλλά και σημαντικούς ανθρώπους που ασχολούνται με την ειδική αγωγή και εκπαίδευση. Τα αποτελέσματα έδειξαν τη διαφορετική προσέγγιση και φιλοσοφία μεταξύ των φορέων ενώ έδειξαν ακόμη την χρήση κοινών διαδικασιών επιβεβαίωσης σχετικά με την δημιουργία άμεσης συντονισμένης στρατηγικής και πολιτικής για όλους τους φορείς , προσφέροντας χρήσιμα συμπεράσματα για τις τωρινές και μετέπειτα έρευνες, αλλά και πρoτάσεις για ορισμένες ενέργειες ευαισθητoποίησης από τους φορείς.
Intrinsic galaxy alignment from angular dependent primordial non-Gaussianity
Creators: name: Kogai, Kazuhiro
name: Matsubara, Takahiko
name: Nishizawa, Atsushi J.
name: Urakawa, Yuko
Publisher: name: arXiv
Year: 2018
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In this paper, we explore a detectable imprint of massive fields with integer spins $s \geq 2$, which may be predicted from string theory. It was shown that such a massive non-zero spin field can generate the squeezed primordial bispectrum which depends on the angle between the two wavenumbers. We show that considering the contribution from the massive spin-2 field, the angular dependent primordial non-Gaussianity (PNG) yields a strong scale dependence in the bias parameter for the galaxy alignment, which becomes prominent at small scales. As another example of an angular dependent PNG, we also consider the primordial bispectrum where the angular dependence was introduced by a vector field, while breaking the global rotational symmetry. As a consequence, we find that the B-mode cosmic shear and non-diagonal components do not vanish. These aspects provide qualitative differences from the PNG sourced by massive non-zero spin fields.
description: 33 pages, 8 figures
PROVINCE OF BRITISH COLUMBIA THIRTIETH REPORT OF THE PROVINCIAL BOARD OF HEALTH INCLUDING FIFTEENTH REPORT OF MEDICAL INSPECTION OF SCHOOLS, YEAR ENDED JUNE 30TH, 1926, AND THE FIFTY-FOURTH REPORT OF VITAL STATISTICS DEPARTMENT, BEING A SUMMARY REPORT FOR THE YEAR 1925
Creators: name: British Columbia. Legislative Assembly
Publisher: name: Victoria, BC : Government Printer
Year: 2016

Abstract
title: ADCO, Cartulaire de Cîteaux pour les possessions d’Izeure (XVe siècle), Cart. 178 (11 H 80), 82 folios, f. 0026
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédéric
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2015
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire

description: Cartulaire de Cîteaux pour les possessions d’Izeure (XVe siècle), Archives départementales de la Côte-d'Or, Cart. 178 (11 H 80), 82 folios, f. 0026, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire de Cîteaux pour les possessions d’Izeure (XVe siècle), Archives départementales de la Côte-d'Or, Cart. 178 (11 H 80), 82 folios, f. 0026, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
Exploiting Application Characteristics for Efficient System Support of Data-Parallel Machine Learning
Creators: name: Henggang  Cui
Publisher: name: Carnegie Mellon University
Year: 2017
Subjects: subject: Computer Engineering
subject: 90699 Electrical and Electronic Engineering not elsewhere classified
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Large scale machine learning has many characteristics that can be exploited in the system designs to improve its efficiency. This dissertation demonstrates that the characteristics of the ML computations can be exploited in the design and implementation of parameter server systems, to greatly improve the efficiency by an order of magnitude or more. We support this thesis statement with three case study systems, IterStore, GeePS, and MLtuner. IterStore is an optimized parameter server system design that exploits the repeated data access pattern characteristic of ML computations. The designed optimizations allow IterStore to reduce the total run time of our ML benchmarks by up to 50×. GeePS is a parameter server that is specialized for deep learning on distributed GPUs. By exploiting the layer-by-layer data access and computation pattern of deep learning, GeePS provides almost linear scalability from single-machine baselines (13× more training throughput with 16 machines), and also supports neural networks that do not fit in GPU memory. MLtuner is a system for automatically tuning the training tunables of ML tasks. It exploits the characteristic that the best tunable settings can often be decided quickly with just a short trial time. By making use of optimization-guided online trial-and-error, MLtuner can robustly find and re-tune tunable settings for a variety of machine learning applications, including image classification, video classification, and matrix factorization, and is over an order of magnitude faster than traditional hyperparameter tuning approaches.
Recommendations resulting from  the analysis of the consultation process
Creators: name: Lindemann, Tom
name: Häberlein, Lisa
name: Hövel,, Philipp
name: Jost, François
name: Bernabe, Rosemarie
Publisher: name: Zenodo
Year: 2022

description: This report summarises key insights and recommendations from the stakeholder consultation conducted during the exploratory phase of the ROSiE project. It briefly describes the consulted stakeholder groups and how they were engaged during the first 16 months of the project through interviews and focus groups. Thereafter, insights are mapped on the relationships between open science and, respectively, the ethos of science, research ethics, research integrity and citizen science, before specific recommendations regarding the development methodology, content and design of key outputs ROSiE will create are given. The report concludes with a short outlook on the next project phases and how stakeholders will be involved during the remainder of the project
Possible TeV $γ$-ray binary origin of HESS J1828-099
Creators: name: De Sarkar, Agnibha
name: Roy, Nirupam
name: Majumdar, Pratik
name: Gupta, Nayantara
name: Brunthaler, Andreas
name: Menten, Karl M.
name: Dzib, Sergio A.
name: Medina, Sac Nicté X.
name: Wyrowski, Friedrich
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The High Energy Stereoscopic System (H.E.S.S.) observatory has carried a deep survey of the Galactic plane, in the course of which the existence of a significant number of ($\sim$ 78) TeV $γ$-ray sources was confirmed, many of which remain unidentified. HESS J1828-099 is a point-like (Gaussian stand. dev. $
description: 17 pages, 4 figures, 2 tables; accepted for publication in The Astrophysical Journal Letters (ApJL)
Experimental Study of Turbulent Natural Convective Condensation In the Presence of Non-Condensable Gas on Vertical and Inclined Surfaces
Creators: name: Swartz, Matthew M.
Publisher: name: Carnegie Mellon University
Year: 2017
Subjects: subject: Mechanical Engineering
subject: FOS: Mechanical engineering

description: Pressurized water reactor nuclear plants, currently under construction, have been designed with passive containment cooling systems. Turbulent, natural-convective condensation, with high non-condensable mass fraction, on the walls of the containment vessel is a primary heat transfer mechanism in these new plant designs. A number of studies have been completed over the past two decades to justify use of the heat and mass transfer analogy for this scenario. A majority of these studies are founded upon natural-convective heat transfer correlations and apply a diffusion layer model to couple heat and mass transfer. Reasonable success in predicting experimental trends for vertical surfaces has been achieved when correction factors are applied. The corrections are attributed to mass transfer suction, film waviness or mist formation, even though little experimental evidence exists to justify these claims. This work examines the influence of film waves and mass transfer suction on the turbulent, natural-convective condensing flow with non-condensable gas present. Testing was conducted using 0.457 m x 2.13 m and a 0.914 m x 2.13 m condensing surfaces suspended in a large pressure vessel. The test surfaces could be rotated from vertical to horizontal to examine the inclination angle effect. The test facility implements relatively high accuracy calorimetric and condensate mass flow measurements to validate the measured heat and mass transfer rates. Test results show that application of the Bayley (1955) and Al-Arabi and Sakr (1988) heat transfer correlations using the heat and mass transfer analogy is appropriate for conditions in which the liquid film remains laminar. For transitional and wavy film flows, a clear augmentation in heat transfer was observed due to disruption of the gas layer by film waves. This result has implications for the scalability of existing correlations. A new correlation is proposed and results compared to several other datasets.
NFDI4BIOIMAGE - Nationale Forschungsdateninfrastruktur für Mikroskopie, biophotonische Technologien und Bildanalyse
Creators: name: Weidtkamp-Peters, Stefanie
Publisher: name: Zenodo
Year: 2021
Subjects: Bioimaging
NFDI
NFDI-Konferenz
Forschungsdatenmanagement
Mikroskopie
Bildanalyse

description: Konferenzbeitrag der Initiative NFDI4BIOIMAGE zur NFDI Konferenz 2021. Vorstellung des geplanten Konsortiums für eine Antragstellung in der 3. Ausschreibungsrunde der Nationalen Forschungsdateninfrastruktur in Deutschland.
description: {"references": ["Schmidt, C. and Ferrando-May E. (2021) - NFDI4BIOIMAGE - An Initiative for a National Research Data Infrastructure for Microscopy Data, Konferenzbeitrag, E-Science-Tage 2021: Share Your Research Data, 4.-5.3.2021, Heidelberg, https://doi.org/10.11588/heidok.00029489"]}
Correlation-driven Lifshitz transition and orbital order in a two-band Hubbard model
Creators: name: Grandi, Francesco
name: Amaricci, Adriano
name: Capone, Massimo
name: Fabrizio, Michele
Publisher: name: arXiv
Year: 2018
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We study by dynamical mean field theory the ground state of a quarter-filled Hubbard model of two bands with different bandwidths. At half-filling, this model is known to display an orbital selective Mott transition, with the narrower band undergoing Mott localisation while the wider one being still itinerant. At quarter-filling, the physical behaviour is different and to some extent reversed. The interaction generates an effective crystal field splitting, absent in the Hamiltonian, that tends to empty the narrower band in favour of the wider one, which also become more correlated than the former at odds with the orbital selective paradigm. Upon increasing the interaction, the depletion of the narrower band can continue till it empties completely and the system undergoes a topological Lifshitz transition into a half-filled single-band metal that eventually turns insulating. Alternatively, when the two bandwidths are not too different, a first order Mott transition intervenes before the Lifshitz's one. The properties of the Mott insulator are significantly affected by the interplay between spin and orbital degrees of freedom.
description: 11 pages, 16 figures
Low-Scale Leptogenesis in the Scotogenic Neutrino Mass Model
Creators: name: Hugle, Thomas
name: Platscher, Moritz
name: Schmitz, Kai
Publisher: name: arXiv
Year: 2018
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The scotogenic model proposed by Ernest Ma represents an attractive and minimal example for the generation of small Standard Model neutrino masses via radiative corrections in the dark matter sector. In this paper, we demonstrate that, in addition to neutrino masses and dark matter, the scotogenic model also allows to explain the baryon asymmetry of the Universe via low-scale leptogenesis. First, we consider the case of two right-handed neutrinos (RHNs) N_{1,2}, for which we provide an analytical argument why it is impossible to push the RHN mass scale below M_1^min ~ 10^10 GeV, which is identical to the value in standard thermal leptogenesis in the type-I seesaw scenario with the same washout strength. Then, we present a detailed study of the three-RHN case based on both an analytical and a numerical analysis. In the case of three RHNs, we obtain a lower bound on the N_1 mass of around 10 TeV. Remarkably enough, successful low-scale leptogenesis can be achieved without any degeneracy in the RHN mass spectrum. The only necessary condition is a suppression in the N_1 Yukawa couplings, which results in suppressed washout and a small active neutrino mass of around 10^-12 eV. This leads to the fascinating realization that low-scale leptogenesis in the scotogenic model can be tested in experiments that aim at measuring the absolute neutrino mass scale.
description: 13 pages, 2 figures; v2: minor changes to the text, updated discussion on direct detection bounds; content matches published version
Calculation of Green-Schwarz Superstring Amplitudes Using the N=2 Twistor-String Formalism
Creators: name: Berkovits, Nathan
Publisher: name: arXiv
Year: 1992
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The manifestly SU(4)xU(1) super-Poincare invariant free-field N=2 twistor- string action for the ten-dimensional Green-Schwarz superstring is quantized using standard BRST methods. Unlike the light-cone and semi-light-cone gauge-fixed Green-Schwarz actions, the twistor-string action does not require interaction-point operators at the zeroes of the light-cone momentum, $\dz x^+$, which complicated all previous calculations. After defining the vertex operator for the massless physical supermultiplet, as well as two picture-changing operators and an instanton-number-changing operator, scattering amplitudes for an arbitrary number of loops and external massless states are explicitly calculated by evaluating free-field correlation functions of these operators on N=2 super-Riemann surfaces of the appropriate topology, and integrating over the global moduli. Although there is no sum over spin structures, only discrete values of the global U(1) moduli contribute to the amplitudes. Because the spacetime supersymmetry generators do not contain ghost fields, the amplitudes are manifestly spacetime supersymmetric, there is no multiloop ambiguity, and the non-renormalization theorem is easily proven. By choosing the picture-changing operators to be located at the zeroes of $\dz x^+$, these amplitudes are shown to agree with amplitudes obtained using the manifestly unitary light-cone gauge formalism.
description: 46 pages plain Tex, ITP-SB-92-42
Electron and hole contributions to normal-state transport in the superconducting system Sn$_{1-x}$In$_x$Te
Creators: name: Zhang, Cheng
name: He, Xu-Gang
name: Chi, Hang
name: Zhong, Ruidan
name: Ku, Wei
name: Gu, Genda
name: Tranquada, J. M.
name: Li, Qiang
Publisher: name: arXiv
Year: 2018
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: Indium-doped SnTe has been of interest because the system can exhibit both topological surface states and bulk superconductivity. While the enhancement of the superconducting transition temperature is established, the character of the electronic states induced by indium doping remains poorly understood. We report a study of magneto-transport in a series of Sn$_{1-x}$In$_x$Te single crystals with $0.1\le x \le 0.45$. From measurements of the Hall effect, we find that the dominant carrier type changes from hole-like to electron-like at $x\sim0.25$; one would expect electron-like carriers if the In ions have a valence of $+3$. For single crystals with $x = 0.45$, corresponding to the highest superconducting transition temperature, pronounced Shubnikov-de Haas oscillations are observed in the normal state. In measurements of magnetoresistance, we find evidence for weak anti-localization (WAL). We attribute both the quantum oscillations and the WAL to bulk Dirac-like hole pockets, previously observed in photoemission studies, which coexist with the dominant electron-like carriers.
description: 8 pages, 7 figures; accepted version
Η διαχρονική ανάπτυξη του ευρωπαϊκού τουρισμού στην Ελλάδα. Μελέτη περίπτωσης : αφίξεις ευρωπαίων τουριστών στην Ελλάδα – Προβλέψεις
Creators: name: Ζαχαριάς, Ευστράτιος
Publisher: name: Πανεπιστήμιο Πειραιώς
Year: 2024
Subjects: subject: Τουρισμός
subject: Ευρωπαϊκή Ένωση
subject: Προβλέψεις
subject: Αφίξεις
subject: Στατιστική

description: Οι διακοπές στο εξωτερικό έχουν αυξημένη απήχηση και αποτελούν πρωταρχική επιλογή των Ευρωπαίων. Μια από τις πρωταρχικές τους επιλογές είναι η Ελλάδα κυρίως εξαιτίας του γεωμορφολογικού, αρχαιολογικού και πολιτισμικού υποβάθρου που έχει. Αντικείμενο της παρούσας διπλωματικής εργασίας είναι να μελετήσει την Ευρώπη και ειδικότερα τις χώρες της Ευρωπαϊκής Ένωσης και τις σχέσεις της με την Ελλάδα, να προσδιορίσει τα χαρακτηριστικά του εξερχόμενου τουρισμού της. Οι αφίξεις από την ΕΕ 27 αναλύονται στο ερευνητικό μέρος λαμβάνοντας υπόψη τα στοιχεία από το πρώτο τρίμηνο του 2005 το δεύτερο τρίμηνο του 2023. Αναλυτικότερα, οι επίσημοι αριθμοί που έχει η Τράπεζα της Ελλάδος στο σύστημά της αντιπροσωπεύουν τον αριθμό κατοίκων της ΕΕ27 που έφτασαν στη χώρα μας κατά τη διάρκεια καθενός από τα τέσσερα τρίμηνα από τον Ιανουάριο του 2005 και συνεχίζοντας έως τον Ιούνιο του 2023 αντίστοιχα.
NFDI-MatWerk: Participant Projects & Infrastructure Use Cases
Creators: name: Eberl, Chris
name: Niebel, Markus
name: Beck, Tilmann
name: Bitzek, Erik
name: Bobbert, Mathias
name: Böhlke, Thomas
name: Dahmen, Tim
name: Diebels, Stefan
name: Durst, Karsten
name: Fritzen, Felix
name: Füting, Manfred
name: Gumbsch, Peter
name: Gunkelmann, Nina
name: Hammerschmidt, Thomas
name: Hanke, Thomas
name: Hartmaier, Alexander
name: Herrmann, Hans-Georg
name: Hickel, Tilmann
name: Klein, Stefan
name: Korte-Kerzel, Sandra
name: Leitte, Heike
name: Lilleodden, Erica
name: Meier, Joachim
name: Meschut, Gerson
name: Mianroodi, Jaber Rezael
name: Mücklich, Frank
name: Müller, Matthias S.
name: Neugebauer, Jörg
name: Pauly, Christoph
name: Politze, Marius
name: Roters, Franz
name: Rühe, Jürgen
name: Sack, Harald
name: Sandfeld, Stefan
name: Schwaiger, Ruth
name: Skrotzki, Birgit
name: Slusallek, Philipp
name: Speck, Thomas
name: Steinbacher, Matthias
name: Stotzka, Rainer
name: Streit, Achim
name: Wulfinghoff, Stephan
name: Zimmermann, Martina
Publisher: name: Zenodo
Year: 2021

description: This document includes the complete list and descriptions of the Participant Projects (PPs) and related Infrastructure-Use-Cases (IUCs) the consortium NFDI-MatWerk referred to within its proposal. For the NFDI-MatWerk proposal, refer to https://doi.org/10.5281/zenodo.5082837. Methodically, the consortium proceeded by identifying so-called Participant Projects within its research community. PPs represent the heterogeneity of this research domain in all its facets. They usually face diverse but recurring challenges in the context of research data management from a user or scientist's perspective. Such challenges, resulting from the PPs, were accumulated to shape the so-called Infrastructure-Use-Cases (IUCs). For this end, the consortium identified recurring technological user needs from the PPs and isolated them into individually necessary functionalities of the aimed research data management infrastructure for NFDI-MatWerk. The consortium plans to reiterate this process as the project starts, to manage a continuous integration and feedback-loop from a strict user-centered perspective and thus ensure relevance of the developed solutions. For more information on the consortium NFDI-MatWerk refer to www.nfdi-matwerk.de. For questions about this method, refer to the contacts listed under www.nfdi-matwerk.de/kontakt/.
Newton's method and Baker domains
Creators: name: Bergweiler, Walter
Publisher: name: arXiv
Year: 2007
Subjects: subject: Complex Variables (math.CV)
subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: 37F10, 30D05, 49M15, 65H05

description: We show that there exists an entire function f without zeros for which the associated Newton function N(z)=z-f(z)/f'(z) is a transcendental meromorphic functions without Baker domains. We also show that there exists an entire function f with exactly one zero for which the complement of the immediate attracting basin has at least two components and contains no invariant Baker domains of N. The second result answers a question of J. Rueckert and D. Schleicher while the first one gives a partial answer to a question of X. Buff.
description: 6 pages
Supplementary Material
Creators: name: Ambagaspitiya, Tharushi
name: Garza, Danielle John
name: Zuercher, Aoife
name: Cimatu, Katherine Leslee
Publisher: name: AIP Publishing
Year: 2024
Subjects: classificationCode: 34
subject: Chemical sciences
subject: FOS: Chemical sciences

description: The theory of SFG spectroscopy and MD simulations in brief, SFG spectral fitting equation, SFG spectral fitting parameters, intensity ratio calculations, plots of surface tension vs. concentration, parameters for generating SFG simulated curves for orientational analysis, and top-view and side-view snapshots of MD simulations are provided in the supplementary material section.
Deep Learning-based Speech Enhancement for Real-life Applications
Creators: name: Abdallah Abdelhafiz Nossier, Soha
Publisher: name: University of East London
Year: 2023
Subjects: automatic speech recognition
deep learning
hearing aids
speech distortion
speech enhancement

description: Speech enhancement is the process of improving speech quality and intelligibility by suppressing noise. Inspired by the outstanding performance of the deep learning approach for speech enhancement, this thesis aims to add to this research area through the following contributions. The thesis presents an experimental analysis of different deep neural networks for speech enhancement, to compare their performance and investigate factors and approaches that improve the performance. The outcomes of this analysis facilitate the development of better speech enhancement networks in this work. 

Moreover, this thesis proposes a new deep convolutional denoising autoencoderbased speech enhancement architecture, in which strided and dilated convolutions were applied to improve the performance while keeping network complexity to a minimum. Furthermore, a two-stage speech enhancement approach is proposed that reduces distortion, by performing a speech denoising first stage in the frequency domain, followed by a second speech reconstruction stage in the time domain. This approach was proven to reduce speech distortion, leading to better overall quality of the processed speech in comparison to state-of-the-art speech enhancement models. 

Finally, the work presents two deep neural network speech enhancement architectures for hearing aids and automatic speech recognition, as two real-world speech enhancement applications. A smart speech enhancement architecture was proposed for hearing aids, which is an integrated hearing aid and alert system. This architecture enhances both speech and important emergency noise, and only eliminates undesired noise. The results show that this idea is applicable to improve the performance of hearing aids. On the other hand, the architecture proposed for automatic speech recognition solves the mismatch issue between speech enhancement automatic speech recognition systems, leading to significant reduction in the word error rate of a baseline automatic speech recognition system, provided by Intelligent Voice for research purposes. In conclusion, the results presented in this thesis show promising performance for the proposed architectures for real time speech enhancement applications.
Precision constraints on radiative neutrino decay with CMB spectral distortion
Creators: name: Aalberts, Jelle L.
name: Ando, Shin'ichiro
name: Borg, Wouter M.
name: Broeils, Edwin
name: Broeils, Jennypher
name: Broeils, Stephen
name: Kavanagh, Bradley J.
name: Leguijt, Gijs
name: Reemst, Marnix
name: van Arneman, Dylan R.
name: Vu, Hoang
Publisher: name: arXiv
Year: 2018
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We investigate the radiative decay of the cosmic neutrino background, and its impact on the spectrum of the cosmic microwave background (CMB) that is known to be a nearly perfect black body. We derive exact formulae for the decay of a heavier neutrino into a lighter neutrino and a photon, $ν_j \to ν_i + γ$, and of absorption as its inverse, $ν_i + γ\to ν_j$, by accounting for the precise form of the neutrino momentum distribution. Our calculations show that if the neutrinos are heavier than $\mathcal O(0.1)$ eV, the exact formulae give results that differ by $\sim$50%, compared with approximate ones where neutrinos are assumed to be at rest. We also find that spectral distortion due to absorption is more important for heavy neutrino masses (by a factor of $\sim$10 going from a neutrino mass of 0.01 eV to 0.1 eV). By analyzing the CMB spectral data measured with COBE-FIRAS, we obtain lower limits on the neutrino lifetime of $τ_{12} \gtrsim 4 \times 10^{21}$ s (95% C.L.) for the smaller mass splitting and $τ_{13} \sim τ_{23} \gtrsim 10^{19}$ s for the larger mass splitting. These represent up to one order of magnitude improvement over previous CMB constraints. With future CMB experiments such as PIXIE, these limits will improve by roughly 4 orders of magnitude. This translates to a projected upper limit on the neutrino magnetic moment (for certain neutrino masses and decay modes) of $μ_ν< 3 \times 10^{-11}\, μ_B$, where $μ_B$ is the Bohr magneton. Such constraints would make future precision CMB measurements competitive with lab-based constraints on neutrino magnetic moments.
description: 14 pages, 9 figures. v2: Added a number of references and clarifications. Matches version published in PRD
Real-time digital signal processor implementation of self-calibrating pulse-shape discriminator for high purity germanium
Creators: name: Suarez, R.
name: Orrell, J. L.
name: Aalseth, C. E.
name: Hossbach, T. W.
name: Miley, H. S.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: Pulse-shape analysis of the ionization signals from germanium gamma-ray spectrometers is a method for obtaining information that can characterize an event beyond just the total energy deposited in the crystal. However, as typically employed, this method is data-intensive requiring the digitization, transfer, and recording of electronic signals from the spectrometer. A hardware realization of a real-time digital signal processor for implementing a parametric pulse shape is presented. Specifically, a previously developed method for distinguishing between single-site and multi-site gamma-ray interactions is demonstrated in an on-line digital signal processor, compared with the original off-line pulse-shape analysis routine, and shown to have no significant difference. Reduction of the amount of the recorded information per event is shown to translate into higher duty-cycle data acquisition rates while retaining the benefits of additional event characterization from pulse-shape analysis.
description: Accepted by NIM A
On Not Knowing: A Tale for the Time Being and the Politics of Imagining Lives Beyond the Nation
Creators: name: Beauregard, Guy
Publisher: name: Canadian Literature
Year: 2016

description: On March 11, 2011, Japan was struck by a series of disasters including a 9.0 magnitude earthquake, a tsunami that devastated the northeast coast of Honshū, and the meltdown of the Fukushima Daiichi nuclear power plant. This paper investigates the stakes involved in attempting to respond to stories in the aftermath of these devastating events. Through a discussion of Ruth Ozeki’s A Tale for the Time Being (2013), read as a novel about not knowing, it underlines how stories that are apprehended in Canada are not limited to Canadian stories alone. It suggests that reading Ozeki’s novel can foreground some of the ways we might take on, from our various locations, the fraught and difficult task of imagining lives of figures who are not present.
description: Canadian Literature, No 227 (2015): Asian Canadian Critique Beyond the Nation
Light-by-Light Scattering in the Presence of Magnetic Fields
Creators: name: Baier, R.
name: Rebhan, A.
name: Wödlinger, M.
Publisher: name: arXiv
Year: 2018
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The low-energy light-by-light cross section as determined by the nonlinear Euler-Heisenberg QED Lagrangian is evaluated in the presence of constant magnetic fields in the center-of-mass system of the colliding photons. This cross section has a complicated dependence on directions and polarizations. The overall magnitude decreases as the magnetic field is increased from zero, but this trend is reversed for ultrastrong magnetic fields $B\gtrsim B_c$, where the cross section eventually grows quadratically with the magnetic field strength perpendicular to the collision axis. This effect is due to interactions involving the lowest Landau level of virtual Dirac particles; it is absent in scalar QED. An even more dramatic effect is found for virtual charged vector mesons where the one-loop cross section diverges at the critical field strength due to an instability of the lowest Landau level and the possibility of the formation of a superconducting vacuum state. We also discuss (the absence of) implications for the recent observation of light-by-light scattering in heavy-ion collisions.
description: 23 pages, 6 figures (v3: minor improvements, references added)
"Paul Wong and Refugee Citizenship"
Creators: name: Goellnicht, Donald
Publisher: name: Canadian Literature
Year: 2016

description: At the start of the millennium, Vancouver-based video artist Paul Wong was commissioned by the Canadian Race Relations Foundation, a state-funded agency, to make a series of brief public service announcements for television, which he titled Refugee Class of 2000 and which form part of the CRRF’s “See People for Who They Really Are: Unite Against Racism” campaign.In the three brief videos, Wong brings the viewer face to face with students from the graduating class at Charles Tupper High School in Vancouver, while also exhuming the history of racism and racist exclusion in Canada. This paper examines the subtle ways in which Wong, working for a state-funded agency, negotiates the complex balancing act between complicity and critique in dealing with issues of national belonging, official multiculturalism, racism, identity politics, citizenship, and transnational or diasporic identity in Refugee Class of 2000. It argues that in Wong’s form of Asian Canadian critique, the transnational identities of the refugee subjects—not all of whom are Asian, and not all of whom are refugees by conventional definitions—bring pressure to bear on nationalist concepts of citizenship and belonging, insisting on the paradoxical notion of refugee citizenship as an alternative to conventional concepts of national belonging.
description: Canadian Literature, No 227 (2015): Asian Canadian Critique Beyond the Nation
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning
Creators: name: Zhao, Xiangyu
name: Zhang, Liang
name: Ding, Zhuoye
name: Xia, Long
name: Tang, Jiliang
name: Yin, Dawei
Publisher: name: arXiv
Year: 2018
Subjects: subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Recommender systems play a crucial role in mitigating the problem of information overload by suggesting users' personalized items or services. The vast majority of traditional recommender systems consider the recommendation procedure as a static process and make recommendations following a fixed strategy. In this paper, we propose a novel recommender system with the capability of continuously improving its strategies during the interactions with users. We model the sequential interactions between users and a recommender system as a Markov Decision Process (MDP) and leverage Reinforcement Learning (RL) to automatically learn the optimal strategies via recommending trial-and-error items and receiving reinforcements of these items from users' feedback. Users' feedback can be positive and negative and both types of feedback have great potentials to boost recommendations. However, the number of negative feedback is much larger than that of positive one; thus incorporating them simultaneously is challenging since positive feedback could be buried by negative one. In this paper, we develop a novel approach to incorporate them into the proposed deep recommender system (DEERS) framework. The experimental results based on real-world e-commerce data demonstrate the effectiveness of the proposed framework. Further experiments have been conducted to understand the importance of both positive and negative feedback in recommendations.
description: arXiv admin note: substantial text overlap with arXiv:1801.00209
Small-Size Instanton Corrections to the $τ$ Hadronic Width
Creators: name: Nason, P.
name: Porrati, M.
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We compute the effect of small-size instanton corrections to current-current correlators, for all combinations of axial, vector, and possibly flavour non-diagonal currents. We apply our result to the hadronic decays of the $τ$ lepton, in order to assess the reliability of the determination of $\as$ from the $τ$ hadronic width.
description: 13 pages (LaTeX file), CERN-TH.6787/93 NYU-TH.92/11/03
Experimental and Computational Investigation of the Microstructure-Mechanical Deformation Relationship in Polycrystalline Materials, Applied to Additively Manufactured Titanium Alloys
Creators: name: Tugce  Ozturk
Publisher: name: Carnegie Mellon University
Year: 2017
Subjects: subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Parts made out of titanium alloys demonstrate anisotropic mechanical properties when manufactured by electron beam melting, an emerging additive manufacturing technique. Understanding the process history dependent heterogeneous microstructure, and its effect on mechanical properties is crucial in determining the performance of additively manufactured titanium alloys as the mechanical behavior heavily relies on the underlying microstructural features. This thesis work focuses on combined experimental and computational techniques for microstructure characterization, synthetic microstructure generation, mechanical property measurement, and mechanical behavior modeling of polycrystalline materials, with special focus on dual phase titanium alloys. Macroscopic mechanical property measurements and multi-modal microstructure characterizations (high energy X-ray diffraction, computed tomography and optical microscopy) are performed on additively manufactured Ti-6Al-4V parts, revealing the heterogeneity of the microstructure and properties with respect to the build height. Because characterizing and testing every location within a build is not practical, a computational methodology is established in order to reduce the time and cost spent on microstructure-property database creation. First a statistical volume element size is determined for the Fast Fourier Transform based micromechanical modeling technique through a sensitivity study performed on an experimental Ni-based superalloy and syntheticW, Cu, Ni and Ti structures, showing that as the contrast of properties (e.g., texture, field localization, anisotropy, rate-sensitivity) increases, so does the minimum simulation domain size requirement. In all deformation regimes a minimum volume element is defined for both single and dual phase materials. The database is then expanded by generating statistically representative Ti structures which are modified for features of interest, e.g., lath thickness, grain size and orientation distribution, to be used in spectral full-field micromechanical modeling. The relative effect of the chosen microstructural features is quantified through comparisons of average and local field distributions. Fast Fourier transform based technique, being a spectral, full-field deformation modeling tool, is shown to be capable of capturing the relative contribution from varying microstructural features such as phase fractions, grain morphology/ size and texture on the overall mechanical properties as the results indicate that the mean field behavior is predominantly controlled by the alpha phase fraction and the prior beta phase orientation.