cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Nuclear Modification Factor of $D^0$ Meson in Au+Au Collisions at $\sqrt{s_{NN}}$ = 200 GeV
Creators: name: Xie, Guannan
Publisher: name: arXiv
Year: 2016
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Heavy-flavor quarks are dominantly produced in initial hard scattering processes and experience the whole evolution of the system in heavy-ion collisions at RHIC energies. Thus they are suggested to be an excellent probe to the medium properties through their interaction with the medium. In this proceedings, we report our first measurement of $D^0$ production via topological reconstruction using STAR's recently installed Heavy Flavor Tracker (HFT). We also report our new measurement of Nuclear Modification Factor ($R_{AA}$) of $D^0$ mesons in central Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV as a function of transverse momentum ($p_{T}$). New results confirm the strong suppression at high $p_{T}$ with a much improved precision, and show that the $R_{AA}$ at high $p_{T}$ are comparable with light hadrons ($π$) and with D meson measurements at the LHC. Furthermore, several theoretical calculations are compared to our data, and with charm diffusion coefficient 2$πTD_{S}$ $\sim$ 2-12 can reproduce both the $D^0$ $R_{AA}$ and $v_2$ data in Au+Au collisions at RHIC.
description: Quark Matter 2015 conference
Repair kinetics of DSB-foci induced by proton and helium ion microbeams of different energies
Creators: name: Belchior, Ana
name: Canhoto, João F.
name: Giesen, Ulrich
name: Langner, Frank
name: Rabus, Hans
name: Schulte, Reinhard
Publisher: name: arXiv
Year: 2022
Subjects: subject: Medical Physics (physics.med-ph)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: In this work, the induction and repair of radiation-induced 53BP1 foci were studied in human umbilical vein endothelial cells irradiated at the PTB microbeam with protons and α-particles of different energies. The data were analyzed in terms of the mean number of 53BP1 foci induced by the different ion beams. The number of 53BP1 foci found at different times post-irradiation suggests that the disappearance of foci follows first order kinetics. The mean number of initially produced foci shows the expected increase with LET. The most interesting finding of this work is that the absolute number of persistent foci increases with LET but not their fraction. Furthermore, protons seem to produce more persistent foci as compared to α-particles of even higher LET. This may be seen as experimental evidence that protons may be more effective in producing severe DNA lesions, as was already shown in other work, and that LET may not be the best suited parameter to characterize radiation quality
description: 20 Pages, 10 Figures, 10 Tables; update after revision during peer review
High Resolution Point Clouds from mmWave Radar
Creators: name: Prabhakara, Akarsh
name: Jin, Tao
name: Das, Arnav
name: Bhatt, Gantavya
name: Kumari, Lilly
name: Soltanaghaei, Elahe
name: Bilmes, Jeff
name: Kumar, Swarun
name: Rowe, Anthony
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: Networking and Internet Architecture (cs.NI)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper explores a machine learning approach for generating high resolution point clouds from a single-chip mmWave radar. Unlike lidar and vision-based systems, mmWave radar can operate in harsh environments and see through occlusions like smoke, fog, and dust. Unfortunately, current mmWave processing techniques offer poor spatial resolution compared to lidar point clouds. This paper presents RadarHD, an end-to-end neural network that constructs lidar-like point clouds from low resolution radar input. Enhancing radar images is challenging due to the presence of specular and spurious reflections. Radar data also doesn't map well to traditional image processing techniques due to the signal's sinc-like spreading pattern. We overcome these challenges by training RadarHD on a large volume of raw I/Q radar data paired with lidar point clouds across diverse indoor settings. Our experiments show the ability to generate rich point clouds even in scenes unobserved during training and in the presence of heavy smoke occlusion. Further, RadarHD's point clouds are high-quality enough to work with existing lidar odometry and mapping workflows.
The evolutionary state of chemically peculiar stars in NGC 2516 using GAIA data on singles and binaries
Creators: name: Hubrig, Swetlana
name: Schöller, Markus
name: Kharchenko, Nina
name: Piskunov, Anatoly
name: Järvinen, Silva
Publisher: name: Zenodo
Year: 2023

description: The origin of the magnetism in stars with radiative envelopes and the role the
 magnetic field plays in their evolution remain unknown. The most popular
 scenario involves a merging event or a common envelope evolutionary phase. Mass
 transfer in stellar merging may rejuvenate the mass gaining star, while the
 induced differential rotation is thought to be a key ingredient to generate a
 magnetic field. One of the observable manifestations of the presence of
 coalesced stars or stars experiencing a common envelope evolution is the
 existence of blue straggler stars. Studies of open clusters and associations
 have seen great improvement with the advent of Gaia DR3 data, allowing us to
 determine photometric and kinematic ages, including runaway status of upper-main
 sequence stars possessing magnetic fields. In our poster we discuss our
 assessment of the evolutionary state of eleven binary and single chemically
 peculiar stars, among them stars with strong magnetic fields previously
 classified as highly probable members of the open cluster NGC 2516.
title: Wenig Evidenz für erhöhte Belohnungssensitivtät bei adipösen Jugendlichen
Creators: name: Blechert, Jens
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: Adipositasraten steigen vor allem bei Kindern und Jugendlichen weiter an. Diese Gruppe ist besonders gefährdet da sie schon früh mit einer Nahrungsumgebung konfrontiert ist, die ein Überangebot von schmackhaften und hochkalorischen Nahrungsmitteln bereithält. Trotz intensiver[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 5. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Essstörungen
Magnetic massive binary and multiple systems in open clusters and associations
Creators: name: Schöller, Markus
name: Hubrig, Swetlana
name: Järvinen, Silva
name: Ilyin, Ilya
Publisher: name: Zenodo
Year: 2023

description: The origin of the magnetism in massive O stars and the role the magnetic field
 plays in their evolution remain unknown. However, the mass transfer in stellar
 merging events might not only rejuvenate the mass gaining star, but induce
 differential rotation, which can be a key ingredient to generate a magnetic
 field. In agreement with this scenario, we have recently been able to show that
 numerous components in massive binary and multiple systems possess detectable
 magnetic fields, implying that multiplicity plays a defining role in the
 generation of magnetic fields. The evolution of binary and multiple systems with
 magnetic components is currently completely unexplored. Since almost all studied
 systems with magnetic components belong to open clusters and associations, their
 membership presents an obvious way to obtain their kinematic ages. Importantly,
 most of these systems have rather short orbital periods, probably due to the
 fact that massive systems play an important role for the dynamical evolution of
 clusters, as they can serve as an energy exchange mechanism, leading to very
 tight binaries and escaping cluster members. Another advantage of studying these
 systems in clusters and associations is that the corresponding bulk metallicity
 can be determined. In our presentation, we will discuss the most recent results
 of our magnetic field measurements in detached, semi-detached, and overcontact
 systems belonging to clusters and associations at different ages.
title: Anorexie und komorbide Suchterkrankung
Creators: name: Beisel, Sylvia
name: Dost, Verena
name: Jacke, Christina
name: Lindenmeyer, Johannes
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: Die Behandlung der Anorexie (AN) stellt nach wie vor eine Herausforderung dar. Bei ca. der Hälfte kommt es zu einem chronischen Verlauf. Patienten mit AN weisen zusammen mit Suchtpatienten die höchste Mortalität auf. Als prognostisch ungünstig gelten u.a. komorbide Störungen,[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 5. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Essstörungen
Intonation Analysis in the context of Violin Education
Creators: name: Rodríguez, María Pérez
Publisher: name: Zenodo
Year: 2023
Subjects: Intonation analysis; Violin; Music education; Intonation modelling

description: In Western Classical music, notes are often viewed within a discrete spectrum based on the 12-tone equal temperament system (12-TET), and playing beyond this is considered “out of tune”. However, the existence of many other tuning systems makes the concept of ’in-tune notes’ subjective and dependent on cultural background, timbre, and instrumentation. This is particularly evident in fretless violins, where precise intonation is essential. In this study, we aim to analyze intonation choices by violin instructors on a broad scale, focusing on deviations from the 12-TET due to tonality and hand positions, aiming to enhance intonation understanding and teaching insights. Utilizing an automatic music transcription model (MUSC) with higher resolution than 12-TET, we employ separate models for short and long notes to precisely segment pitch, considering intonation deviation and nuances.
 We provide our results on the common violin teaching techniques using Wohlfahrt Op. 45’s 60 etudes, where seven players perform these monophonic, first-position etudes in seven major keys without accidentals. Findings indicate sharper intonation in the third and seventh degrees compared to 12-TET across tonalities; the first and fourth degrees align better with 12-TET, with the mediant (III) and leading tone (VII) being about 5 cents sharper above the tonic. This study highlights ways to improve the understanding of violin intonation choices, which could inspire more adequate teaching methods, bringing together tradition, technology, and cross-cultural appreciation.
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics
Creators: name: Panja, Madhurima
name: Chakraborty, Tanujit
name: Kumar, Uttam
name: Liu, Nan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Chaotic Dynamics (nlin.CD)
subject: Populations and Evolution (q-bio.PE)
subject: Quantitative Methods (q-bio.QM)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: Infectious diseases remain among the top contributors to human illness and death worldwide, among which many diseases produce epidemic waves of infection. The unavailability of specific drugs and ready-to-use vaccines to prevent most of these epidemics makes the situation worse. These force public health officials and policymakers to rely on early warning systems generated by reliable and accurate forecasts of epidemics. Accurate forecasts of epidemics can assist stakeholders in tailoring countermeasures, such as vaccination campaigns, staff scheduling, and resource allocation, to the situation at hand, which could translate to reductions in the impact of a disease. Unfortunately, most of these past epidemics exhibit nonlinear and non-stationary characteristics due to their spreading fluctuations based on seasonal-dependent variability and the nature of these epidemics. We analyse a wide variety of epidemic time series datasets using a maximal overlap discrete wavelet transform (MODWT) based autoregressive neural network and call it EWNet model. MODWT techniques effectively characterize non-stationary behavior and seasonal dependencies in the epidemic time series and improve the nonlinear forecasting scheme of the autoregressive neural network in the proposed ensemble wavelet network framework. From a nonlinear time series viewpoint, we explore the asymptotic stationarity of the proposed EWNet model to show the asymptotic behavior of the associated Markov Chain. We also theoretically investigate the effect of learning stability and the choice of hidden neurons in the proposal. From a practical perspective, we compare our proposed EWNet framework with several statistical, machine learning, and deep learning models. Experimental results show that the proposed EWNet is highly competitive compared to the state-of-the-art epidemic forecasting methods.
Spatial gradients of GCR protons in the inner heliosphere derived from Ulysses COSPIN/KET and PAMELA measurements
Creators: name: Gieseler, Jan
name: Heber, Bernd
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Space Physics (physics.space-ph)
subject: FOS: Physical sciences

description: During the transition from solar cycle 23 to 24 from 2006 to 2009, the Sun was in an unusual solar minimum with very low activity over a long period. These exceptional conditions included a very low interplanetary magnetic field (IMF) strength and a high tilt angle, which both play an important role in the modulation of galactic cosmic rays (GCR) in the heliosphere. Thus, the radial and latitudinal gradients of GCRs are very much expected to depend not only on the solar magnetic epoch, but also on the overall modulation level. We determine the non-local radial and the latitudinal gradients of protons in the rigidity range from ~0.45 to 2 GV. This was accomplished by using data from the satellite-borne experiment Payload for Antimatter Matter Exploration and Light-nuclei Astrophysics (PAMELA) at Earth and the Kiel Electron Telescope (KET) onboard Ulysses on its highly inclined Keplerian orbit around the Sun with the aphelion at Jupiter's orbit. In comparison to the previous A>0 solar magnetic epoch, we find that the absolute value of the latitudinal gradient is lower at higher and higher at lower rigidities. This energy dependence is therefore a crucial test for models that describe the cosmic ray transport in the inner heliosphere.
Determinación de la frecuencia óptima de mantenimiento preventivo en el sistema de aires acondicionados tipo fan coil de las habitaciones del Hotel Dann Cartagena usando ARC
Creators: name: Correa Jiménez, Abbrhil Sahit
name: Díaz Castilla, Angélica Patricia
Publisher: name: Universidad de Cartagena
Year: 2015
Subjects: Mantenimiento industrial
Mantenimiento preventivo
Equipo industrial - Mantenimientos

description: Tesis (Administrador Industrial).--Universidad de Cartagena. Facultad de Ciencias Económicas. Programa de Administración Industrial, 2015
description: El presente trabajo investigativo, se tiene como propósito fundamental la definición de los criterios y metodologías de aplicación de un análisis causa raíz de las fallas presentadas en bombas centrifugas, con el fin de encontrar las verdaderas causas de los problemas y así poder lograr una mayor optimización de los recursos.
Understanding Language Referring To The Visual World
Creators: name: Cirik, Volkan
Publisher: name: Carnegie Mellon University
Year: 2023
Subjects: subject: 80107 Natural Language Processing
subject: FOS: Computer and information sciences

description: Artificial Intelligence (AI) technologies affect many facets of our daily lives. AI systems help us manage our shopping lists, type emails faster, and answer our curious search queries. However, current AI systems have limited agency in the world – i.e., they lack the embodied sensory experience of the world that is often referred as embodied AI. Hopefully, in the near future, embodied AI systems will allow autonomous vehicles to mobilize the visually impaired in our communities, enable robots in providing company for our elderly, and facilitate virtual agents in cooperatively teaching our children complex concepts in mixed reality settings. The imminent manifestation of embodied AI in the physical world necessitates research that models the interaction between natural language and physical referents. This technical challenge has been dubbed ‘language grounding’ and is the central focus of this thesis. In studying language grounding, we identify and define three core challenges, and then describe novel methods, analyses, and experiments that to attempt to address each in turn. First, we address spatial grounding with the goal of linking language mentions of objects with their spatial locations in the world. We study this problem in the context of a fully-observable representation of the world. Second, we study the problem of sequential grounding, where observations of the world are partial (e.g., restricted to a limited field-of-view) and unfold over time as a result of the actions of the system. Partial observation makes language grounding more challenging, increasing the difficulty of accurate interpretation – e.g., an utterance may refer to something not currently in the view of the system. Third, we tackle the problem of imbuing agents with the same types of prior knowledge that humans assume and rely upon to disambiguate linguistic utterances when communicating. Human speakers tend to vastly underspecify spatial information when communicating with others as they omit many details that they expect the listener to know already. This poses a technical challenge for language grounding: how do our agents leverage general and situated prior knowledge of the world? In this thesis, we present contributions in the form of methods, resources, and tools to strengthen our understanding of these technical challenges and to make progress towards their eventual solutions.
A Lloyd-model generalization: Conductance fluctuations in one-dimensional disordered systems
Creators: name: Mendez-Bermudez, J. A.
name: Martinez-Mendoza, A. J.
name: Gopar, V. A.
name: Varga, I.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: We perform a detailed numerical study of the conductance $G$ through one-dimensional (1D) tight-binding wires with on-site disorder. The random configurations of the on-site energies $ε$ of the tight-binding Hamiltonian are characterized by long-tailed distributions: For large $ε$, $P(ε)\sim 1/ε^{1+α}$ with $α\in(0,2)$. Our model serves as a generalization of 1D Lloyd's model, which corresponds to $α=1$. First, we verify that the ensemble average $\left\langle -\ln G\right\rangle$ is proportional to the length of the wire $L$ for all values of $α$, providing the localization length $ξ$ from $\left\langle-\ln G\right\rangle=2L/ξ$. Then, we show that the probability distribution function $P(G)$ is fully determined by the exponent $α$ and $\left\langle-\ln G\right\rangle$. In contrast to 1D wires with standard white-noise disorder, our wire model exhibits bimodal distributions of the conductance with peaks at $G=0$ and $1$. In addition, we show that $P(\ln G)$ is proportional to $G^β$, for $G\to 0$, with $β\leα/2$, in agreement to previous studies.
description: 5 pages, 5 figures
title: Internalisierung des Gewichtsstigmas und gestörtes Essverhalten im Kindesalter
Creators: name: Jendrzyca, Anna
name: Warschburger, Petra
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: Übergewichtige Kinder und Jugendlichen werden häufig wegen ihres Gewichts gehänselt. Die Gewichtsstigmatisierung kann zu vielen psychosozialen Problemen führen. Allerdings zeigen nicht alle übergewichtige Kinder, die von anderen gehänselt wurden, psychische[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 5. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Essstörungen
Campodea (Campodea) majorica subsp. majorica majorica Conde 1955
Creators: name: Sendra, Alberto
name: Reboleira, Ana Sofia P. S.
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Diplura
Campodeidae
Campodea
Campodea majorica
Campodea (campodea) majorica majorica condé, 1955

description: Campodea (Campodea) majorica majorica Condé, 1955
Campodea (Campodea) majorica majorica Condé, 1955b: 121, fig. 1a–b.
Diagnosis (Condé 1955b)
Cave-adapted species; body length 5.0–9.0 mm; epicuticle with abundant microdenticles; thin pine cone clothing setae; antennae with 41–44 antennomeres; cupuliform organ with 12–19 complex olfactory chemoreceptors; sensillum of third antennomere in ventral position; 1+1 ma macrosetae on metanotum; middle sized, robust notal macrosetae almost completely covered with short barbs; thin pine cone notal marginal setae; 1+1 la macrosetae on VI urotergite, 1+1 la and 1+1 lp on VII urotergite, 3+3 lp on VIII urotergite and 5+5 lp on IX abdominal segment; cerci longer than the body with long barbed macrosetae.
description: Published as part of Sendra, Alberto & Reboleira, Ana Sofia P. S., 2020, Euro-Mediterranean fauna of Campodeinae (Campodeidae, Diplura), pp. 1-130 in European Journal of Taxonomy 728 on page 44, DOI: 10.5852/ejt.2020.728.1181, http://zenodo.org/record/4316883
title: Parenting a child with congenital heart disease
title: Experiences of diagnosis, identity and parental role
titleType: Subtitle
Creators: name: Dandy, Shannon
Publisher: name: Lancaster University
Year: 2022

description: The thesis comprises a systematic literature review, an empirical research paper and a critical reflection on the research. The aim was to qualitatively explore parental experiences of having a child with congenital heart disease (CHD), specifically of receiving the diagnosis and of parental roles and identity. The systematic literature review utilised thematic synthesis to synthesise qualitative findings regarding parents’ psychological experiences of receiving their child’s CHD diagnosis. Twenty-four papers were included in the review and four themes were identified: 1) unpreparedness for the diagnosis, 2) the overwhelming reality of CHD, 3) mourning multiple losses, and 4) redefining hopes to reach acceptance of CHD. There were individual differences in emotional experiences, but findings highlight the need for compassionate support from professionals throughout. The research paper explored mothers’ experiences of parental role and identity when parenting a child with single ventricle CHD (SVCHD). Interpretative Phenomenological Analysis (IPA) was used to analyse data from interviews with eight mothers. Four themes were identified: 1) being a “heart mum”, 2) managing competing roles: “you have to wear lots of different hats all at the same time”, 3) loss and regaining of identity, and 4) relinquishing control and the need to let go. Parenting a child with SVCHD presented significant challenges to mothers’ parental role and identity, which they managed in various ways. Implications for clinical practice and future research are discussed. The critical appraisal summarises the research and provides reflections on the methodological and ethical considerations, limitations and implications of the research. The appraisal highlights the importance of reflexivity, and personal reflections on the research process are considered throughout.
Disentangle and Deploy: Generative Rhythmic Tools for Musicians
Creators: name: Lenz, Julian
Publisher: name: Zenodo
Year: 2023
Subjects: Drum generation, tap2drum, symbolic music generation, deep learning

description: In recent years a number of deep learning models have been developed to convert tapped rhythmic ideas into fully-voiced, dynamic drum performances. This mas-ter thesis extends the research by introducing a number of controllable features, namely Density, Intensity and Genre, allowing users to meaningfully augment the output whilst retaining the core rhythmic pattern identity. Our proposed models are comparatively small, enabling real-time usage on modern laptops. After trial-ing a number of methodologies and hyperparameters, we introduce our final model: VAEDER (Variational Autoencoder for Disentangled Expressive Rhythms). In ad-dition to the model development, we introduce a number of open-source software packages that allow researchers to quickly deploy symbolic generation models into Digital Audio Workstations. We hope that this will enable a new level of partici-pation and collaboration between researchers and musicians in the field of artificial intelligence for music generation.
The imprint of satellite accretion on the chemical and dynamical properties of disc galaxies
Creators: name: Ruiz-Lara, T.
name: Few, C. G.
name: Gibson, B. K.
name: Pérez, I.
name: Florido, E.
name: Minchev, I.
name: Sánchez-Blázquez, P.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Aims: We study the effects of the cosmological assembly history on the chemical and dynamical properties of the discs of spiral galaxies as a function of radius. Methods: We make use of the simulated Milky-Way mass, fully-cosmological discs, from {\tt RaDES} (Ramses Disc Environment Study). We analyse their assembly history by examining the proximity of satellites to the galactic disc, instead of their merger trees, to better gauge which satellites impact the disc. We present stellar age and metallicity profiles, Age-Metallicity Relation (AMR), Age-Velocity dispersion Relation (AVR), and Stellar Age Distribution (SAD) in several radial bins for the simulated galaxies. Results: Assembly histories can be divided into three different stages: i) a merger dominated phase, when a large number of mergers with mass ratios of $\sim$1:1 take place (lasting $\sim$3.2$\pm$0.4 Gyr on average); ii) a quieter phase, when $\sim$1:10 mergers take place (lasting $\sim$4.4$\pm$2.0 Gyr) - these two phases are able to kinematically heat the disc and produce a disc that is chemically mixed over its entire radial extension; iii) a "secular" phase where the few mergers that take place have mass ratios below 1:100, and which do not affect the disc properties (lasting $\sim$5.5$\pm$2.0 Gyr). Phase ii ends with a final merger event (at time $t_\mathrm{jump}$) marking the onset of important radial differences in the AMR, AVR, and SAD. Conclusions: Inverted AMR trends in the outer parts of discs, for stars younger than $t_\mathrm{jump}$, are found as the combined effect of radial motions and star formation in satellites temporarily located in these outer parts. "U-shaped" stellar age profiles change to an old plateau ($\sim$10 Gyr) in the outer discs for the entire {\tt RaDES} sample. This shape is a consequence of inside-out growth of the disc, radial motions of disc stars ... [abridged]
description: 25 pages, 21 figures, Accepted for publication in A&A (2 Dec 2015)
Expanding the evaluation of Audio to Score Matching applying Audio Querying strategies
Creators: name: Cocaño, Iván Fernández
Publisher: name: Zenodo
Year: 2023
Subjects: Audio to Score matching; Audio querying; Evaluation;

description: Audio to Score matching, the task of matching an audio query with a particular audio sample in a database, is topic of interest in the Music Information Retrieval (MIR) field. This line of investigation does not have many of works and in those works, there are many differences in the evaluation strategies. An expansion and exploration of new evaluation metrics to comprehend this field is needed to progress. This research explores the interconnections of audio to score matching with related fields such as Audio Score Alignment (ASA), Cover Identification, and Query-By-Humming (QBH). These similar fields will be grouped and refered to as audio querying
 in this thesis. Through this lens, the objective is to understand the evaluation strategies in these lines of investigation and utilize them to gain insights into how to expand audio to score matching evaluation.
 This thesis’s core is the proposition of an expansion of audio matching evaluation strategies, addressing the current lack of standardized practices. A Python implementation of these metrics is provided. All code developed is part of this thesis.
 The experiment results show that the proposed metrics reflect how the matching systems perform, and give insight into how they position the correct match overall when experimenting with different songs. This, together with metrics that allow to evaluate how good the systems are at positioning the correct match at the first rank, helps expand the evaluation strategies of audio to score matching. Many more insights can be gained of the data used and its impact in audio to score matching, which will be discussed in detail later on.
title: Assoziationen zwischen Adipositas und Depression bei Kindern und Jugendlichen: Analyse qualitativ hochwertiger Studien
Creators: name: Mühlig, Yvonne
name: Föcker, Manuel
name: Antel, Jochen
name: Hebebrand, Johannes
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: In zahlreichen Studien sind sowohl im Erwachsenen- als auch im Kindes- und Jugendalter Assoziationen zwischen Depression und Adipositas beschrieben worden. Hierbei unterstützen auch Longitudinalstudien einen entsprechenden Zusammenhang. Da die Assoziation jedoch wiederholt nicht bestätigt[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 5. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Essstörungen
Neural Audio Effect Modelling Strategies for a Spring Reverb
Creators: name: Papaleo, Francesco
Publisher: name: Zenodo
Year: 2023

description: Virtual analog modelling emulates the processing characteristics of a given physical device. This has been an active field of research and commercial innovation in which two main perspectives have been historically adopted. The first one: white-box, seeks to reproduce the exact behaviour through algorithmic simulation of circuits or physical phenomena. The second one: black-box,
 aims to learn the approximation function from examples recorded at the input and output stages of the target device. In this second approach, deep learning has emerged as a valuable strategy for linear systems, such as filters, as well as nonlinear time-dependent ones like distortion circuits or compressors.
 The spring reverb is as audio effect with a very long and rooted history in music production and performance, based on a relatively simple design, this device is an effective tool for artificial reverberation. The electromechanical functioning of this reverb makes it a nonlinear timeinvariant spatial system that is difficult to fully emulate in the digital domain with white-box modelling techniques.
 This thesis wants to address the modelling of spring reverb, leveraging end-to-end neural audio effect architectures through supervised learning. Recurrent, convolutional and hybrid models have successfully been used for similar tasks, especially compressors and distortion circuits emulations. Using two available datasets of guitar recordings, we evaluate with quantitative
 metrics, acoustical analysis and signal processing measurements the efficiency and the results of four neural network architectures to model this effect. We present the results and outline different strategies for this modelling task, providing a reproducible experimental environment with code.
Beyond Benchmarks: A Toolkit for Music Audio Representation Evaluation
Creators: name: Plachouras, Christos
Publisher: name: Zenodo
Year: 2023
Subjects: Music Audio Representation Learning, Embedding Evaluation, Evaluation Toolkit, Representation Robustness, Reproducible Research

description: Numerous cutting-edge approaches employed in Music Information Retrieval (MIR) tasks are now leveraging representation learning. This technique entails learning meaningful representations of the desired data through a source task, which can act as compact, efficient inputs to separate downstream tasks. With the growing interest in developing general audio representations that are useful for multiple tasks, the need for thorough, consistent, and fair evaluation is more pertinent than ever.
 However, evaluation efforts so far are often fragmented, owing to differences in data availability and computational resources, missing implementation details, or lack of agreed-upon design choices. Public benchmarks often opt for a fixed evaluation setup that provides consistency in exchange for a narrower-scoped investigation of MIR systems.
 In this master’s thesis project, we present a toolkit for reproducible music audio representation evaluation. The toolkit provides an easy and configurable way to run evaluation experiments for MIR systems utilizing representation learning. It provides a variety of MIR datasets and tasks for evaluating performance given different input representations, embedding extraction frequency, downstream models, and audio perturbations. It also includes tools for exploring and visualizing evaluation results under different experimental setups. The toolkit is primarily focused on aiding the development of music audio representations while ensuring every evaluation experiment is transparent and can be faithfully reproduced. We use the toolkit to conduct an extensive evaluation of multiple representations from widely used music embedding models for a variety of MIR tasks, datasets, and deformation scenarios.
title: Körperbezogenes Vermeidungsverhalten bei Adipositas
Creators: name: Legenbauer, Tanja
name: Müller, Astrid
name: De Zwaan, Martina
name: Herpertz, Stephan
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: Körperbezogenes Vermeidungsverhalten (KV) zählt als behaviorale Komponente zu Störungen des Körperbildes (Body Image Disturbances, BID). Es gilt als aufrechterhaltend für BID und wurde vor allem im Zusammenhang mit klassischen Essstörungen untersucht. In den[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 5. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Essstörungen
LES of the Sandia Flame D Using an FPV Combustion Model
Creators: name: Di Renzo, Mario
name: Coclite, Alessandro
name: de Tullio, Marco Donato
name: De Palma, Pietro
name: Pascazio, Giuseppe
Publisher: name: arXiv
Year: 2016
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: The simulation of turbulent combustion phenomena is still an open problem in modern fluid dynamics. Considering the economical importance of hydrocarbon combustion in energy production processes, it is evident the need of an accurate tool with a relatively low computational cost for the prediction of this kind of reacting flows. In the present work, a comparative study is carried out among large eddy simulations, performed with various grid resolutions, a Reynolds averaged Navier-Stokes simulation, and experimental data concerning the well-known Sandia D flame test case. In all the simulations, a flamelet progress variable model has been employed using various hypotheses for the joint probability density function closure. The filtered approach proved to be more accurate than the averaged one, even for the coarser grid used in this work. In fact both approaches have shown poorly accurate predictions in the first part of the combustion chamber, but only by the large eddy simulation one is capable to recover the inlet discrepancies with respect to the experimental data going along the streamwise direction.
Applying Computer Vision Foundation Models to Audio Source Separation
Creators: name: Olsen, Benjamin
Publisher: name: Zenodo
Year: 2023
Subjects: Audio Source Separation; Transfer Learning; Foundational Models; Image Segmentation; Deep Learning

description: In this paper we attempt to apply foundational models in computer vision to the problem of audio source separation. Focusing on separating a foreground sound from a mixture, we attempt to leverage the strong feature learning capabilities of these models to perform image segmentation on audio spectrograms. Using an augmented version of the FSD50k dataset, we first asses the new models DINOv2 and the SAM
 (Segment Anything Model) in a zero-shot transfer learning scenario, then under different fine-tuning methods. We hope to find state-of-the-art performance.
Empirical Study on Electronic Learning System: Benefits, Challenges and Prospects
Creators: name: Adelakun, Najeem Olawale
name: Omolola, Samuel Adeniyi
name: Mosaku, Azeez Olamilekan
name: Adebola, Matthew Saint
Publisher: name: figshare
Year: 2023
Subjects: Information security management
Information systems user experience design and development
Information systems philosophy, research methods and theory
Information systems organisation and management
Information systems not elsewhere classified
Information systems for sustainable development and the public good
Information systems education
Knowledge and information management
Inter-organisational, extra-organisational and global information systems
Information systems development methodologies and practice
Decision support and group support systems
Information modelling, management and ontologies

description: The swift growth of digital technology has led to the adoption of emerging technologies in all human endeavours. Over the years, the rate of smartphone users has increased rapidly which makes so many developed nations adopt online learning as a means of taking education to everyone irrespective of their geographical location. Similarly, the COVID-19 outbreak makes so many developing countries adopt the electronic learning system as a viable approach to teaching and learning. Consequently, the e-learning system is useful for the creation of informative online sessions, supplementary lessons for students, webinars, e-mentoring and online conferences. This paper uses an empirical approach to evaluate the benefits and challenges associated with the e-learning system using two special approaches. An online questionnaire was shared among students in the higher institution in Nigeria to know the benefits and likely challenges faced by students with the e-learning system, a total of four hundred and ninety-five (495) responses were gathered and the data was analysed using descriptive statistics. The result shows that 33.94% of students complained about weak internet connectivity from the questionnaire administered which is also a major problem in most developing nations, while only 7.27% of respondents complained about limited feedback, while on the second approach, several questions were shared on Researchgate Academic website to sample researcher views across the globe about on e-learning system. it is recommended that there should be a provision of standard IT infrastructure, strong internet connectivity, user-friendly e-learning platform, and its implementation will improve performance and lead to greater productivity.
On the formation of molecules and solid-state compounds from the AGB to the PN phases
Creators: name: Garcia-Hernandez, D. A.
name: Manchado, A.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Chemical Physics (physics.chem-ph)
subject: Space Physics (physics.space-ph)
subject: FOS: Physical sciences

description: During the asymptoyic giant branch (AGB) phase, different elements are dredge-up to the stellar surface depending on progenitor mass and metallicity. When the mass loss increases at the end of the AGB, a circumstellar dust shell is formed, where different (C-rich or O-rich) molecules and solid-state compounds are formed. These are further processed in the transition phase between AGB stars and planetary nebulae (PNe) to create more complex organic molecules and inorganic solid-state compounds (e.g., polycyclic aromatic hydrocarbons, fullerenes, and graphene precursors in C-rich environments and oxides and crystalline silicates in O-rich ones). We present an observational review of the different molecules and solid-state materials that are formed from the AGB to the PN phases. We focus on the formation routes of complex fullerene (and fullerene-based) molecules as well as on the level of dust processing depending on metallicity.
description: 8 pages, 4 figures, Invited Review in "The 11th Pacific Rim Conference on Stellar Astrophysics: Physics and Chemistry of the Late Stages of Stellar Evolution", IOP Publishing Ltd. (in press)
Proceedings of the 2013 CERN - Latin-American School of High-Energy Physics (CLASHEP 2013), Arequipa, Peru, 6-19 Mar 2013
Creators: name: Mulders, M.
name: Perez, G.
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The CERN - Latin-American School of High-Energy Physics is intended to give young physicists an introduction to the theoretical aspects of recent advances in elementary particle physics. These proceedings contain lecture notes on the Standard Model of electroweak interactions, quantum chromodynamics, flavour physics, quantum chromodynamics under extreme conditions, cosmic-ray physics, cosmology, recent highlights of LHC results, practical statistics for particle physicists and a short introduction to the principles of particle physics instrumentation.
description: 9 lectures, 372 pages, published as CERN Yellow Report https://cds.cern.ch/record/1484921
Partially Observable Monte Carlo Planning in Public Game Tree for complex imperfect information game King UP
Creators: name: Peng, Gao
Publisher: name: Lancaster University
Year: 2022

description: In the past, Game AI has been a challenging area where humans devote much effort to it. The game could be classified by whether players could fully observe the state of the game into two different game types: perfect information game and imperfect information game. While perfect information game has been studied well, like Go and chess, the research on imperfect-information games is limited to poker and dice. The board game King Up is a sort of imperfect information game with more complicated rules and attributes, such as partial observation, multiple players, partly shared goals, mixed strategy (cooperate and compete temporarily for goals), and a mixture of dynamic game and static game (vote and move). Until now, King UP has not been solved by existing methods. Extended from Partially Observable Monte Carlo Planning, we propose a novel algorithm called POMCP in a Public Game Tree to solve the problem, in which we also combine the techniques from CFR with POMCP. The public game tree is a data structure used to store belief over partial observable information and could be applied in most imperfect information games with multiple players; inspired by CFR, we propose local search and decision estimation processes to compute the value function over correlated state and action; we also implement two decision estimation methods, deterministic policy by Upper Confidence Bound and stochastic policy by Regret Matching. In the experiment, we evaluate the convergency situation of the algorithm. Also, we evaluate the algorithm’s performance by further experiments like tournaments between different decision estimations and verify the generalization by Rock-PaperScissors. At last, we rethink the motivation, insights, and contributions. Our algorithm could work with less prior knowledge and perform well in complex, imperfectinformation games with multiple players like King UP and mixture game types (dynamic and static game).
On the possibility of excitonic magnetism in Ir double perovskites
Creators: name: Pajskr, K.
name: Novak, P.
name: Pokorny, V.
name: Kolorenc, J.
name: Arita, R.
name: Kunes, J.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We combine several numerical and semi-analytical methods to study the $5d$ double perovskites Sr2YIRO6 and Ba2YIRO6 which were recently proposed to exhibit excitonic magnetism. Starting from the density functional theory and constrained random phase approximation we construct effective multi-band Hubbard models. These are analyzed by means of static and dynamical mean-field theories and strong coupling expansion. We find both materials to be insulators, but, contrary to the experimental claims, with a large spin gap of several hundreds meV preventing formation of an ordered state at low temperature
description: 7 pages, 6 figures
Incipient triple point for adsorbed xenon monolayers: Pt(111) versus graphite substrates
Creators: name: Novaco, Anthony D.
name: Bruch, L. W.
name: Bavaresco, Jessica
Publisher: name: arXiv
Year: 2016
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Simulation evidence of an incipient triple point is reported for xenon submonolayers adsorbed on the (111) surface of platinum. This is in stark contrast to the "normal" triple point found in simulations and experiments for xenon on the basal plane surface of graphite. The motions of the atoms in the surface plane are treated with standard 2D "NVE" molecular dynamics simulations using modern interactions. The simulation evidence strongly suggests an incipient triple point in the 120-150 K range for adsorption on the Pt (111) surface while the adsorption on graphite shows a normal triple point at about 100 K.
description: 5 pages, 4 figures
Accelerating Polarization via Alphabet Extension
Creators: name: Duursma, Iwan
name: Gabrys, Ryan
name: Guruswami, Venkatesan
name: Lin, Ting-Chun
name: Wang, Hsin-Po
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences
subject: 94B65

description: Polarization is an unprecedented coding technique in that it not only achieves channel capacity, but also does so at a faster speed of convergence than any other coding technique. This speed is measured by the ``scaling exponent'' and its importance is three-fold. Firstly, estimating the scaling exponent is challenging and demands a deeper understanding of the dynamics of communication channels. Secondly, scaling exponents serve as a benchmark for different variants of polar codes that helps us select the proper variant for real-life applications. Thirdly, the need to optimize for the scaling exponent sheds light on how to reinforce the design of polar codes. In this paper, we generalize the binary erasure channel (BEC), the simplest communication channel and the protagonist of many coding theory studies, to the ``tetrahedral erasure channel'' (TEC). We then invoke Mori--Tanaka's $2 \times 2$ matrix over GF$(4)$ to construct polar codes over TEC. Our main contribution is showing that the dynamic of TECs converges to an almost--one-parameter family of channels, which then leads to an upper bound of $3.328$ on the scaling exponent. This is the first non-binary matrix whose scaling exponent is upper-bounded. It also polarizes BEC faster than all known binary matrices up to $23 \times 23$ in size. Our result indicates that expanding the alphabet is a more effective and practical alternative to enlarging the matrix in order to achieve faster polarization.
description: 22 pages, 4 figures. Accepted to RANDOM 2022. v2: 29 pages, 5 figures, 1 table; address comments from JSAIT