cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Adventures in Vaporwave: a participant-led creative practice exploration of everyday life in a weird internet community
Creators: name: Lucas-Healey, Adrian
Publisher: name: RMIT University
Year: 2024
Subjects: classificationCode: 330306
subject: Design practice and methods
classificationCode: 360302
subject: Music composition and improvisation
classificationCode: 360503
subject: Digital and electronic media art

description: Vaporwave is an internet subculture which emerged from social media around the late 2000s and early 2010s. The term itself refers to a cluster of interrelated electronic music subgenres and an accompanying visual aesthetic which employ sampling, glitch and collage as vehicles for exploring cultural nostalgia. Vaporwave has recently caught the attention of a handful of scholars whose work explores its sociocultural significance as a textual phenomenon leaving the lived experience of this subculture largely under-theorised. My research seeks to address this gap, advocating for a need to situate textuality within an appreciation of the everyday contexts which give rise to cultural phenomena. This research is led by the question:

How can we investigate Vaporwave as a dynamic living culture by employing participatory creative practice research to explore and express its personal significance for community members?

I developed a bespoke method which incorporates affective methodologies, participatory action research and creative practice to engage members of the Vaporwave community in co-creating a rich intersubjective portrait of their diverse experiences. Creativity was central to this process because it enabled tacit experiential knowledge to manifest organically through the making process. By feeding emergent creative output into iterative cycles of sharing and critical reflection this method gave participants the opportunity to focus their attention and refine their ideas, building a body of collective work that represented the emergent insights.

Through facilitating the critical making process, I was able to involve myself in the community as a participant researcher, working collaboratively to construct new understandings of Vaporwave which served both the academy and the participant cohort. In addition to the insight embodied by the creative output, this process was valuable as a catalyst for social connection, initiating dialogue between the participants, their broader communities and me that would not otherwise have taken place. What stemmed from these various creative and social engagements was an appreciation of how people’s involvement in Vaporwave impacts their everyday lives. These possibilities extend beyond the textual and aesthetic dimensions of Vaporwave to consider how involvement in the community contributes to an expanded sense of social connection, creative legitimacy, and material opportunity. I have sought to theorise the significance of such opportunities in terms of affect theory to show how these possibilities are defined by and actualised through the nascent field of potentiality that manifests as an expression of people’s shared emotional investment in Vaporwave.
title: Эффективный менеджер. Отбор и оценка управленческих кадров
title: Пособие
titleType: Subtitle
Creators: name: Попова О.С.
Publisher: name: Республиканский институт профессионального образования (РИПО)
Year: 2012

description: В пособии раскрываются актуальные проблемы организационного управления, современные подходы к оценке и отбору управленческих кадров с учетом их личностного потенциала, представлены конкретные психодиагностические методики для оценки управленческих качеств личности. Для слушателей курсов повышения квалификации и переподготовки кадров, директоров учреждений образования, руководителей и сотрудников кадровых агентств, для работников психологических служб, читателей, интересующихся проблемами психологии управления.
description: The manual deals with the current problems of organizational management, modern approaches to the evaluation and selection of management personnel with regard to their personal potential presented specific psychodiagnostic methods for the assessment of managerial qualities. For courses of improvement of qualification and retraining of personnel, Directors of educational institutions, heads and employees of personnel agencies for employees of psychological services, readers, interested in problems of psychology of management.
title: Методика организации дистанционного обучения в учреждениях профессионально-технического и среднего специального образования на основе LMS Moodle
title: Учебно-методическое пособие
titleType: Subtitle
Creators: name: Смоликова Т.М.
Publisher: name: Республиканский институт профессионального образования (РИПО)
Year: 2015

description: Содержит краткие сведения об основных тенденциях развития информационно-образовательного пространства Республики Беларусь, роли современных форм организации образовательного процесса с применением дистанционных образовательных технологий. Особое внимание уделено практическим занятиям, в которых дано подробное, пошаговое описание создания курса с интерактивными ресурсами и элементами. В рамках каждой практической работы представлена полезная информация, даны указания по выполнению заданий. Материал визуализирован экранными формами, схемами, графиками, что способствует закреплению теоретических знаний и формированию практических навыков работы в LMS Moodle. Учебно-методическое пособие предназначено для слушателей курсов повышения квалификации и переподготовки кадров, педагогов в качестве поддержки системного внедрения, инструмента активного использования дистанционных образовательных технологий при обучении различных категорий обучающихся.
description: Contains brief information about the main trends of development of information educational space of the Republic of Belarus, the role of modern forms of organization of educational process with application of distance educational technologies. Special attention is paid to practical classes, in which the detailed, step-by-step description of creating a course with resources and interactive elements. Within each practical work provides useful information, instructions for performing tasks. Material is visualized on-screen forms, diagrams, graphs, which helps to consolidate the theoretical knowledge and develop practical skills in Moodle LMS. Educational-methodical manual is intended for students of courses of improvement of qualification and retraining of teachers in support of system implementation, tools active use of remote educational technologies at training of various categories of students.
Fair Resources And Training For Researchers Final Report
Creators: name: Hoebelheinrich, Nancy
name: Petters, Jonathan
name: Martin, Raleigh L.
name: Hou, Sophie
name: Hsu, Leslie
name: Olson, Eric
name: Davis, Rowena
Publisher: name: Zenodo
Year: 2018
Subjects: Data Management Training
FAIR Training
Data Management Training Clearinghouse
FAIR Data
Crowdsourcing

description: This final reports provides details of the efforts to catalog existing educational resources using exant mechanisms for curating those resources, specifically the ESIP-hosted Data Management Training Clearinghouse (DMTC) at http://dmtraining.esipfed.org.  Two very successful crowdsourcing events were held to accommodate time zones world wide in order to gather and index the materials.  Significant contributions of existing educational resources were provided by this Targeted Adoption Group to help support education needs of researchers and data professionals who support researcher training needs.
An objective evaluation of Australian Football League recruitment
Creators: name: BARAKE, Adrian
Publisher: name: RMIT University
Year: 2024
Subjects: classificationCode: 380199
subject: Applied economics not elsewhere classified

description: The Australian Football League (AFL) has utilised a reverse-order player draft since 1986 as a labour market intervention to promote equalisation within the competition. The draft pick number used by teams to select a player provides a benchmark of expected value. The aims of this industry-supported research can be split into four interrelated areas. The first is to use the draft as a mechanism for testing the market efficiency of athlete labour recruitment by AFL teams. Second, inefficiencies in the Australian football recruitment market have been identified with policy recommendations and informational tools provided to help manage these inefficiencies. Third, a model has been developed that can assign players to positions in all competitions in which advanced statistics are recorded. Finally, an objective player performance assessment tool is detailed that can be used to evaluate potential AFL recruits. These aims were achieved by conducting an objective analysis of the extensive secondary data available within the AFL industry. The effects of a player's relative age, draft pick number and cultural background have been used to test the efficiency of the recruitment pathways in Australian football. This research has found evidence of escalation effects post-recruitment linked to the draft pick number used to recruit a player, statistical discrimination in the recruitment pathways and novel findings on the relative age of players. The results have managerial implications for AFL clubs and various other stakeholders, including agencies that collate statistical resources. More generally, this analysis has examined labour market efficiency within the context of a player draft in a professional sport environment, contributing to the theory in this area.
Additional file 3 of A study to investigate the prevalence of headache disorders and migraine conducted using medical claims data and linked results from online surveys: post-hoc analysis of other headache disorders
Creators: name: Takeshima, Takao
name: Hirata, Koichi
name: Igarashi, Hisaka
name: Sakai, Fumihiko
name: Sano, Hiromi
name: Kondo, Hiroyuki
name: Shibasaki, Yoshiyuki
name: Koga, Nobuyuki
Publisher: name: figshare
Year: 2024
Subjects: subject: Neuroscience
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: Science Policy

description: Supplementary Material 3
Dust Evolution In Discs Affected By Binaries And Flybys
Creators: name: Cuello, Nicolas
Publisher: name: Zenodo
Year: 2018

description: Recent high-resolution observations of protoplanetary disks have revealed a myriad of fascinating structures such as gaps, shadows, vortices and spirals. In this work, we consider the gravitational perturbation due to a stellar companion on the disc structure through 3D hydrodynamical (gas+dust) simulations. The perturber body can either be on a bound orbit in the case of a binary, or in an unbound (parabolic) orbit for a stellar flyby. We focus on the spirals and the disc misalignment induced by the companion. In particular, we study the dust evolution in these systems and search for characteristic observational signatures. We also discuss the long-term evolution of these discs and its implications for planet formation. As a matter of fact, the resulting planetary architecture (system size, type of planets, belts, etc.) is likely to be affected by the kind of gravitational perturbation experienced by the disc. Thus, based on planet formation theories, we speculate on the possible planetary outcomes.
11.1 Deliver The Identified Evaluation Systems And Good Practice Guidelines For Training. Deliver A Tess Platform And Identify E-Learning Solutions
Creators: name: Rustici, Gabriella
name: Gurwitz, Kim
name: Louisa, Bellis
name: ELIXIR Training Community
Publisher: name: Zenodo
Year: 2018

description: This document (D11.1 - Deliver the identified evaluation systems and good practice guidelines for training. Deliver a TeSS platform and identify e-learning solutions) reports the efforts undertaken in the last 2 years by the ELIXIR Training Platform, subtask leaders, ELIXIR Training Coordinators and ELIXIR training colleagues to build the underlying structure of the ELIXIR Training Platform and bring it up to speed. It describes the achievements within the Task 11.1 of the WP11, Building the ELIXIR infrastructure. The deliverable in fact touches upon 3 subtasks (11.1.1, 11.1.2 and 11.1.3). “Deliver the identified evaluation systems and good practice guidelines for training” belongs to Subtask 11.1 of the WP11 Assessing training quality¨ good practice and impact . In order to ensure that ELIXIR Training needs are met (see training activities reported in the MTR report) and the training delivered is impactful, of high quality and at scale, we have worked together with multiple stakeholders to define specifications, standards, metrics and key performance indicators for ELIXIR training. It resulted in a harmonized mechanism, and its companion good practice guidelines, that allow to capture and report on ELIXIR training efforts and their impact, across Nodes. This mechanism has been so far adopted by approximately 12 Nodes, and over 2254 short-term feedback surveys have been collected to date. We are currently in the process of introducing long-term feedback surveys, which will allow to collect complementary and invaluable information of ELIXIR training impact in the long term.
Correlating bitumen properties to asphalt performance: challenges and experimental results
Creators: name: Ishaq, Muhammad Aakif
Publisher: name: RMIT University
Year: 2024
Subjects: classificationCode: 400505
subject: Construction materials

description: Bitumen plays a significant role in the construction  of flexible asphalt pavements. However, the implicit relationship between the performance of the bitumen and the final field performance of the asphalt mix is still far to be addressed. This research project aimed to shed light on the possible correlations between bitumen binder properties and their corresponding asphalt mixtures. The project specifically tackled bitumen correlation with asphalt mixtures in the context of low-temperature cracking, fatigue cracking and permanent deformation (rutting) in addition to the preliminary thermo-chemo-rheological characterisation of various types of (unmodified and polymer-modified) binders

The results show that the SCB fracture energy is a better indicator for capturing the low-temperature performance of asphalt materials than other parameters. In addition, the strength properties of asphalt mixtures from IDT tests are strongly correlated with the G-R parameter of binders..The indicator that mostly correlated the binder properties with the asphalt mixture properties at intermediat temperature is the secant modulus from the SCB test. Fatigue parameters obtained through LAS better explain the asphalt fatigue performance obtained through FPBB. Based on this comprehensive study,there has been found good correlation between MSCR test parameter (Jnr) and Uniaxial repeated load test parameter (Flow Number ) for asphalt at high temperature.Furthermore chemical  properites of bitumen has been found useful to distinguish various binders and explain different rheological properties of various types of binders. Overall, knowledge of how efficiently bitumen tests are correlated with asphalt mixtures performance from this research study was found an important development to optimise the selection of durable bitumen and can help preliminary screen the best asphalt mixtures for further analyses.
Additional file 4 of A study to investigate the prevalence of headache disorders and migraine conducted using medical claims data and linked results from online surveys: post-hoc analysis of other headache disorders
Creators: name: Takeshima, Takao
name: Hirata, Koichi
name: Igarashi, Hisaka
name: Sakai, Fumihiko
name: Sano, Hiromi
name: Kondo, Hiroyuki
name: Shibasaki, Yoshiyuki
name: Koga, Nobuyuki
Publisher: name: figshare
Year: 2024
Subjects: subject: Neuroscience
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: Science Policy

description: Supplementary Material 4
Perceptions of artificial intelligence service-chatbots and brand affection in the hotel industry in Australia
Creators: name: Ponce Guevara, Diana
Publisher: name: RMIT University
Year: 2024
Subjects: classificationCode: 350604
subject: Marketing communications

description: The introduction of Artificial Intelligence (AI) powered chatbots has changed how brands interact with consumers, particularly in the hospitality industry. Hotels have incorporated AI powered chatbots to provide automated services such as check-in, check-out, bookings, information and 24/7 customer service. Brands are communicating with consumers in automated, personalised, and innovative ways, creating more engagement and interaction with consumers. However, weaknesses in functionality, efficient problem-solving, and connecting with consumers on an emotional level persist.
Despite the perceived weaknesses, the worldwide alert caused by the coronavirus disease (COVID-19) encouraged the hospitality industry to expedite their adoption of AI powered services to avoid physical interaction and prevent the virus from spreading. The COVID-19 pandemic severely impacted the hotel industry and forced consumers to change their interactions with hotel brand services.

Through the lens of previous studies, this research project maintains that consumer awareness about interacting with an AI supported platform may impact on how luxury brand experiences are perceived. Although, there is a considerable body of literature relating to the use of AI in the service and hospitality industries, no research explores the creation of brand affection and the impact during the pandemic in Australia. This study aims to explore the perceptions of consumers towards AI service chatbots and brand affection in the hotel industry in Australia. It draws on a single case study of Hilton Hotels in Australia. I collected two data sets for analysis, one from in-depth, open-ended interviews with Australian guests and the second from Australian hotel employees.
The research reveals that participants don’t often recall their first interaction with chatbots, but they remember whether they were efficient and useful. Participants consider AI service chatbots to be part of the range of consumer services, and generally have a positive perception of them. Participants express some concern about job loss in the hospitality sector. However, they felt happy to use them during the COVID-19 pandemic. Some participants confuse the concept of a chatbot with other technological tools like QR codes. They associate the brand’s technological innovation with brand care.

These findings contribute to the hospitality industry, developments in customer service and AI chatbot research design and implementation, and the hotel and hospitality industry in Australia, by providing insights about customer experiences of AI powered chatbots.
sj-docx-1-asj-10.1177_00016993231224223 - Supplemental material for The unequal conversion of intended redistribution into factual redistribution in Europe and its impact on social inequalities between families
Creators: name: Frericks, Patricia
name: Höppner, Julia
Publisher: name: SAGE Journals
Year: 2024
Subjects: subject: Sociology
subject: FOS: Sociology

description: Supplemental material, sj-docx-1-asj-10.1177_00016993231224223 for The unequal conversion of intended redistribution into factual redistribution in Europe and its impact on social inequalities between families by Patricia Frericks and Julia Höppner in Acta Sociologica
Additional file 1 of Identification of carbohydrate gene clusters obtained from in vitro fermentations as predictive biomarkers of prebiotic responses
Creators: name: Kok, Car Reen
name: Rose, Devin J.
name: Cui, Juan
name: Whisenhunt, Lisa
name: Hutkins, Robert
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Pharmacology
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Mental Health

description: Additional File 1. Supplementary Figures S1-S5
Additional file 1 of Clinical efficacy and safety of switching from eculizumab to ravulizumab in adult patients with aHUS– real-world data
Creators: name: Schönfelder, Kristina
name: Kühne, Lucas
name: Schulte-Kemna, Lena
name: Kaufeld, Jessica
name: Rohn, Hana
name: Kribben, Andreas
name: Schröppel, Bernd
name: Brinkkötter, Paul T.
name: Gäckler, Anja
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Pharmacology
Mathematical Sciences not elsewhere classified
Virology

description: Supplementary Material 1.
Activation of ankle muscles following rapid displacement of a light touch contact during treadmill walking.
Creators: Shiva, Tania; Misiaszek, John E.
Publisher: name: University of Alberta Library
Year: 2017

The first exposure of a rapid displacement of a light touch reference induces an inappropriate balance corrective response during standing in a proportion of participants that is extinguished with repeated exposures. We hypothesized that if the spatial touch reference was critical to performing of a task the evoked response would be more consistently expressed across participants and observed with repeated exposures to the disturbance. To test this, twenty participants received either forward (N=10) or backward right touch displacements at right heel strike during motorized treadmill walking without visual feedback. Electromyographic recordings from 4 arm, 4 leg and 1 neck muscle were sampled along with joint kinematic and step cycle data. Rapid displacement of the touch surface elicited responses in all 20 participants. However, the frequency of first trial responses was not different from what was observed during standing. In contrast, responses were observed in all participants with subsequent trials. None of the participants tripped or stumbled as a result of the touch perturbations, however the step cycle duration was consistently shorter following the first forward touch displacement. A post-experiment questionnaire revealed that many participants often perceived the touch plate displacement as a disturbance to the treadmill belt speed, suggesting the disturbance was occasionally misinterpreted. The activation of ankle muscles following the unexpected slip of a touch reference during walking suggests that tactile information from the finger is a relevant sensory cue for the regulation and control of stepping and stability.
title: Konzeption einer webbasierten Benutzerschnittstelle zur Unterstützung des Jazz-Piano Unterrichts
Creators: name: Balke, Stefan
name: Bießmann, Paul
name: Trump, Sebastian
name: Müller, Meinard
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: Computergestützte Musikverarbeitung
subject: Multimedia
subject: Webtechnologie

description: Das Erlernen von Jazz stellt eine Herausforderung für viele Musiker dar. Insbesondere Spieler von Harmonieinstrumenten (z. B. Klavier oder Gitarre) müssen die auftauchenden harmonischen Zusammenhänge verstehen und im eigenen Spiel einbauen können. Zum Nachvollziehen der zum Teil komplexen Harmoniken reicht die Unterrichtszeit mit einem Lehrer oftmals nicht aus. In dieser Arbeit deuten wir Möglichkeiten an, wie webbasierte Technologien verwendet werden können, um Lehrinhalte aufzubereiten und für den Schüler erfahrbar zu machen. Dazu nehmen wir zunächst exemplarisch Lektionen zu typischen Lehrinhalten aus dem Jazz-Piano Unterricht auf und bereiten diese für die multimediale Nutzung auf. Insbesondere präsentieren wir einen webbasierten Demonstrator (http://mir.audiolabs.uni-erlangen.de/jazz-piano), der eine benutzerfreundliche Interaktion mit diesen multimedialen Lehrinhalten ermöglicht. Mithilfe unseres Demonstrators ist der Schüler in der Lage, im Unterricht besprochene Konzepte anhand eingespielter und annotierter Beispiele im individuellen Lerntempo nachzuvollziehen und zu wiederholen. Darüberhinaus ermöglichen verschiedene Navigationsmöglichkeiten einen flexiblen Zugang zu den multimedialen Daten.
title: Die Oper als Multimediaszenario
title: Wagners Walküren gehen online
titleType: Subtitle
Creators: name: Balke, Stefan
name: Hiemer, Manuel
name: Schwab, Peter
name: Arifi-Müller, Vlora
name: Meyer-Wegener, Klaus
name: Müller, Meinard
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: Muskverarbeitung
subject: Multimedia
subject: Webtechnologie

description: Musik lässt sich durch die Vielzahl an möglichen Darstellungs-und Datenformen als Multimediaszenario auffassen: Neben der eigentlichen Musikaufnahme gibt es eine Vielzahl von weiteren Medienobjekten (z. B. Videoaufnahmen, Gesangstexte oder Notentexte), die Musik auf unterschiedliche Arten beschreiben. Im Zuge der Digitalisierung werden viele dieser Medienobjekte heutzutage frei im Internet verfügbar gemacht. Dabei werden die Objekte häufig einzeln betrachtet, obwohl sich zwischen ihnen musikalische Verknüpfungen herstellen ließen. Diese Verknüpfungen können dazu genutzt werden, um neue Arten der Navigation in der Musik zu ermöglichen, oder vorhandene Medienobjekte mit zusätzlichen Informationen anzureichern. In diesem Artikel modellieren wir exemplarisch anhand der Oper „Die Walküre“ von Richard Wagner diese musikalischen Verknüpfungen mittels werkbezogener Annotationen, die in einem geeigneten Datenbankschema abgebildet werden. Basierend auf diesem Modell präsentieren wir dann einen webbasierten Demonstrator, der die wechselseitigen Verknüpfungen zwischen den Medienobjekten zusammenfügt und in einer graphischen Benutzeroberfläche für den Nutzer zugänglich macht.
title: Entwicklung eines Music Information Retrieval-Tools zur Melodic Similarity-Analyse deutschsprachiger Volkslieder
Creators: name: Burghardt, Manuel
name: Lamm, Lukas
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: Music Information Retrieval
subject: Melodic Similarity
subject: Edit Distance
subject: Ngrams

description: Wir präsentieren einen Beitrag zum Einsatz computergestützter Methoden für die quantitative Untersuchung einer großen Sammlung symbolisch repräsentierter Melodien deutschsprachiger Volkslieder. Im Zuge dessen wurde ein Music Information Retrieval-Tool (MIR) konzipiert, mit dem gezielt nach Liedblättern anhand bestimmter Metainformationen (z.B. Jahr, Sangesort, etc.), bestimmter Wörter in den Liedtexten oder bestimmter Sequenzen innerhalb der monophonen Melodien gesucht werden kann. Darüber hinaus kann mit dem MIR-Tool untersucht werden, ob es bspw. wiederkehrende Muster oder melodische Universalien in deutschsprachigen Volksliedern gibt. Insgesamt stehen drei Repräsentationsebenen für Suchanfragen zur Verfügung: Die Suche nach konkreten Melodiefragmenten (Tonhöhe / Tondauer), die Suche nach Intervallfolgen und die Suche nach abstrakten Melodiekonturen im Parsons-Code. Eine zentrale Herausforderung für die Umsetzung eines solchen MIR-Tools mit mehreren Repräsentationsebenen ist die Wahl einer geeigneten melodic similarity-Komponente. Wir beschreiben die Implementierung verschiedener edit distance-basierter Ansätze und präsentieren die Ergebnisse einer Evaluationsstudie für die unterschiedlichen Implementierungen. Alle Algorithmen und Converter wurden als generische Toolbox umgesetzt und stehen unter der MIT open source-Lizenz für die Nachnutzung zur freien Verfügung.
title: Onbeat oder offbeat? Überlegungen zur symbolischen Darstellung von Musik am Beispiel der metrischen Quantisierung
Creators: name: Frieler, Klaus
name: Pfleiderer, Martin
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: Musik
subject: Musikanalyse
subject: Computational Musicology
subject: symbolische Musikrepräsentation
subject: Quantisierung
subject: Rhythmus
subject: Metrum
subject: Mikrotiming
subject: Swing-Ratio
subject: Groove
subject: Jazz

description: Musik als psychologisches und kulturelles Phänomen stellt besondere Anforderungen sowohl an ihre symbolische Repräsentation als auch an ihre Analyse. Ausgehend von generellen Überlegungen zu Musik und Musikanalyse möchte der Beitrag am Beispiel der metrischen Quantisierung für die Problematik der symbolischen Musikrepräsentation sensibilisieren. Metrische Quantisierung ist nötig, denn musikalische Ereignisse werden in der Regel innerhalb eines zyklisch-metrischen Rahmens wahrgenommen und zu Zwecken der Analyse oder Reproduktion in diesem Raster dargestellt. Mitunter sind jedoch gerade jene rhythmischen Eigenheiten von Interesse, die tendenziell durch ein Quantisierungsraster fallen wie z. B. Mikrotiming oder Synkopierungen (Offbeat-Akzente), die für Groove-und Swing-Phänomene relevant sind. Angesichts dieser Problematik wird ein Quantisierungsalgorithmus (FlexQ) vorgestellt, der im Rahmen des Jazzomat Research Project entwickelt wurde. Sein Potenzial wird anhand von zwei Forschungsbeispielen (Synkopen/Offbeats und Swing-Ratio-Messungen) verdeutlicht.
title: Automatic Guitar String Detection by String-Inverse Frequency Estimation
Creators: name: Geib, Tobias
name: Schmitt, Maximilian
name: Schuller, Björn
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: Guitar String Detection
subject: Music Information Retrieval
subject: Frequency Estimation

description: In this work, we present a novel approach to approximating the fretboard position, i. e., the string and fret combination of guitar and bass recordings, using a feature we call String-Inverse Frequencies (SIFs). These frequencies are obtained from the opposite part of the string pressed down on a fretboard. We then show how they are calculated and proof their usefulness for guitar string detection. Additionally, a database is featured with recordings specifically tailored for this task. Furthermore, we demonstrate a basic approach using SIFs based on FFT spectral analysis and compare it to a basic standard classification process using Mel-Frequency Cepstral Coefficients and Support Vector Machines. The SIF-based approach showed a detection rate of up to F1 = 72% for both guitar and bass. Finally, we discuss further possibilities regarding SIFs.
Additional file 1 of Advancing fluorescence imaging: enhanced control of cyanine dye-doped silica nanoparticles
Creators: name: Son, Taewoong
name: Kim, Minseo
name: Choi, Minsuk
name: Nam, Sang Hwan
name: Yoo, Ara
name: Lee, Hyunseung
name: Han, Eun Hee
name: Hong, Kwan Soo
name: Park, Hye Sun
Publisher: name: figshare
Year: 2024
Subjects: Biophysics
Biochemistry
Space Science
Medicine
Cell Biology
Pharmacology
Biotechnology
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified

description: Supplementary Material 1.
title: Организация и технология торговли
title: Учебное пособие
titleType: Subtitle
Creators: name: Грибанова И.В.
name:  Смирнова Н.В.
Publisher: name: Республиканский институт профессионального образования (РИПО)
Year: 2016

description: В учебном пособии подробно рассматриваются формы и виды розничной торговой сети, порядок формирования ассортимента товаров, основные принципы рационального товарообеспечения, вопросы технологии продажи и обслуживания покупателей. Наряду со сведениями в области организации и технологии торговли представлен учебный материал по основам торговой рекламы. Текст печатается по 3-му изданию, исправленному и дополненному. Предназначено для учащихся профессионально-технических учебных заведений по учебной специальности «Торговое дело».
description: The textbook elaborates on the forms and types of retail outlets, the formation of range of products, the basic principles of sound euroamericana, technology, sales and customer service. Along with the information in the field of organization and technology of Commerce presents training material on the basics of trading advertising. The text is printed according to the 3rd edition, revised and enlarged. Designed for students in vocational educational institutions for the training of the specialty "Commerce".
title: Система метафор в психологическом консультировании и коррекции
title: Учебно-методическое пособие
titleType: Subtitle
Creators: name: Карпович Т.Н.
name:  Павлова И.М.
Publisher: name: Республиканский институт профессионального образования (РИПО)
Year: 2016

description: Представленные в книге авторские материалы направлены на осознание личностного потенциала человека. Они призваны помогать людям в преодолении возникающих проблем, видении красоты и гармонии мира. Изложенная в книге система метафорических образов может стать средством постижения «голоса своей души», личностного развития, решения внутренних и внешних конфликтов. Материалы пособия могут быть использованы в консультационно-коррекционной деятельности практических психологов. Предназначено для педагогов, специалистов в соответствующей области, аспирантов, студентов психологических факультетов, родителей, воспитателей, социальных работников, а также для читателей, интересующихся проблемами личностного роста.
description: Presented in the book any copyrighted material is aimed at realization of personal human potential. They are designed to help people overcome the problems, a vision of beauty and harmony in the world. Contained in the book system of metaphors can be a means of understanding "the voice of their soul", personal development, solving internal and external conflicts. The material benefits can be used in Advisory and remedial activities of practicing psychologists. Intended for teachers, experts in the relevant field, graduate students of psychological faculties of parents, educators, social workers, as well as to readers interested in issues of personal growth.
Impacts of Consumer Skepticism and Blockchain-Enabled Sustainability Disclosure in A Supply Chain
Creators: name: YAN, SHUANGQI
Publisher: name: Zenodo
Year: 2022

description: Firms are increasingly adopting blockchain-enabled traceability system that can ensure data non-tampering to credibly disclose product information because consumers are usually skeptical, especially about sustainability information of product. In this paper, we develop a game-theoretical model with consumer skepticism to examine the investment strategy of blockchain-enabled disclosure in a supply chain from different stakeholders’ perspectives. Two asymmetric manufacturers that differ in the sustainability of their products sell through one common retailer. Common consumers who trust the sustainability information of the product are willing to pay a premium for the sustainable product, but skeptical consumers are not. Blockchain-enabled disclosure makes more consumers to trust sustainability information of product. Interestingly, the analytical results reveal the latent pitfall of blockchain-enabled disclosure even without considering implementation costs. The market competition between the asymmetric manufacturers can be intensified by the disclosure. As a result, the profits of the two manufacturers might be reduced. In contrast, the retailer’s profit always increases due to blockchain-enabled disclosure. Moreover, we find that the size of skeptical consumers may have non-monotone impacts on the profits of the retailer and the manufacturers. Thus, as consumer skepticism increases, the retailer and the sustainable manufacturer are indeed less likely to invest in blockchain-enabled disclosure under certain conditions. Finally, we examine the impacts of a mandatory disclosure policy, for example, information disclosure mandated by the government, and find that it may create a win-win outcome for the society and the environment by improving both social welfare and environmental performance.
Additional file 1 of A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records
Creators: name: Kim, Yeongmin
name: Choi, Wongyung
name: Choi, Woojeong
name: Ko, Grace
name: Han, Seonggyun
name: Kim, Hwan-Cheol
name: Kim, Dokyoon
name: Lee, Dong-gi
name: Shin, Dong Wook
name: Lee, Younghee
Publisher: name: figshare
Year: 2024
Subjects: Biotechnology
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Cancer

description: Supplementary Material 1.
Additional file 2 of A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records
Creators: name: Kim, Yeongmin
name: Choi, Wongyung
name: Choi, Woojeong
name: Ko, Grace
name: Han, Seonggyun
name: Kim, Hwan-Cheol
name: Kim, Dokyoon
name: Lee, Dong-gi
name: Shin, Dong Wook
name: Lee, Younghee
Publisher: name: figshare
Year: 2024
Subjects: Biotechnology
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Cancer

description: Supplementary Material 2.
sj-docx-1-dhj-10.1177_20552076221145420 - Supplemental material for Advancing digital patient-centered measurement methods for team-based care
Creators: name: Antonio, Marcy G
name: Davis, Selena
name: Smith, Mindy
name: Burgener, Paul
name: Price, Morgan
name: Lavallee, Danielle C
name: Fletcher, Sarah
name: Lau, Francis
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Cardiology
subject: 110306 Endocrinology
subject: FOS: Clinical medicine
subject: 110308 Geriatrics and Gerontology
subject: 111099 Nursing not elsewhere classified
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 111702 Aged Health Care
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies
subject: Anthropology
subject: FOS: Sociology
subject: 200299 Cultural Studies not elsewhere classified
subject: FOS: Other humanities
subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences
subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business
subject: Science Policy
subject: 160512 Social Policy
subject: FOS: Political science
subject: Sociology

description: Supplemental material, sj-docx-1-dhj-10.1177_20552076221145420 for Advancing digital patient-centered measurement methods for team-based care by Marcy G Antonio, Selena Davis, Mindy Smith, Paul Burgener, Morgan Price, Danielle C Lavallee, Sarah Fletcher and Francis Lau in Digital Health
sj-docx-1-tan-10.1177_17562864221143178 – Supplemental material for Association of periprocedural perfusion non-improvement with recurrent stroke after endovascular treatment for Intracranial Atherosclerotic Stenosis
Creators: name: Yan, Long
name: Hou, Zhikai
name: Fu, Weilun
name: Yu, Ying
name: Cui, Rongrong
name: Miao, Zhongrong
name: Lou, Xin
name: Ma, Ning
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: Pharmacology and Pharmaceutical Sciences not elsewhere classified

description: Supplemental material, sj-docx-1-tan-10.1177_17562864221143178 for Association of periprocedural perfusion non-improvement with recurrent stroke after endovascular treatment for Intracranial Atherosclerotic Stenosis by Long Yan, Zhikai Hou, Weilun Fu, Ying Yu, Rongrong Cui, Zhongrong Miao, Xin Lou and Ning Ma in Therapeutic Advances in Neurological Disorders
D6.2 Report On Comprehensive Metagenomic Data Standards Environment
Creators: name: Cochrane, Guy
name: Finn, Rob
name: Peder Willassen, Nils
name: Ailo Bongo, Lars
name: Santamaria, Monica
name: Fosso, Bruno
name: Pelletier, Eric
name: Corre, Erwan
name: Mitchell, Alex
name: Potter, Simon
Publisher: name: Zenodo
Year: 2018

description: We have previously reviewed data standards and best practices in marine metagenomics and have published our review and three core recommendations (ten Hoopen et al., 2017)

● On our first recommendation - that scientists comply with data standards and recommended best practices, we assess in this Annex the status across sampling, sequencing, analysis and results archiving stages of metagenomics studies

● We report for our second recommendation - that computational analysis process be described formally, our progress through collaborative work with the Interoperability platform on adopting the Common Workflow Language (CWL)

● We describe that in response to our third recommendation - that the results of computational metabarcoding and metagenomics analysis processes be archived  an extension to the European Nucleotide Archive (ENA) that supports submission, archiving and data access services for these data types
Pléiades Asp Formation 2018
Creators: name: Deschamps-Berger César
name: Gascoin Simon
name: Berthier Etienne
Publisher: name: Zenodo
Year: 2018

description: Slides of the presentation about digital elevation model and ortho-images calculation from Pléiades satellite dataset and Ames Stereo Pipeline.

Talk given at Toulouse, France.
Additional file 1 of Exploring lived experiences on the usage of removable complete dentures among edentulous patients attending Makerere University Dental Hospital, Kampala, Uganda
Creators: name: Nono, David
name: Bagenda, Godfrey
name: Okullo, Isaac
name: Rwenyonyi, Charles Mugisha
Publisher: name: figshare
Year: 2024
Subjects: Space Science
Medicine
Biological Sciences not elsewhere classified
Science Policy

description: Supplementary Material 1
sj-docx-8-dhj-10.1177_20552076231183552 - Supplemental material for Adherence to unsupervised exercise in sedentary individuals: A randomised feasibility trial of two mobile health interventions
Creators: name: Bannell, Daniel J
name: France-Ratcliffe, Madeleine
name: Buckley, Benjamin James Roy
name: Crozier, Anthony
name: Davies, Andrew P
name: Hesketh, Katie L.
name: Jones, Helen
name: Cocks, Matthew
name: Sprung, Victoria S
Publisher: name: SAGE Journals
Year: 2023
Subjects: classificationCode: 111708
subject: Health and Community Services
subject: Cardiology
classificationCode: 110306
subject: Endocrinology
classificationCode: 110308
subject: Geriatrics and Gerontology
classificationCode: 111099
subject: Nursing not elsewhere classified
classificationCode: 111299
subject: Oncology and Carcinogenesis not elsewhere classified
classificationCode: 111702
subject: Aged Health Care
classificationCode: 111799
subject: Public Health and Health Services not elsewhere classified
classificationCode: 99999
subject: Engineering not elsewhere classified
subject: Anthropology
subject: FOS: Sociology
classificationCode: 200299
subject: Cultural Studies not elsewhere classified
classificationCode: 89999
subject: Information and Computing Sciences not elsewhere classified
classificationCode: 150310
subject: Organisation and Management Theory
subject: Science Policy
classificationCode: 160512
subject: Social Policy
subject: Sociology

description: Supplemental material, sj-docx-8-dhj-10.1177_20552076231183552 for Adherence to unsupervised exercise in sedentary individuals: A randomised feasibility trial of two mobile health interventions by Daniel J Bannell, Madeleine France-Ratcliffe, Benjamin James Roy Buckley, Anthony Crozier, Andrew P Davies, Katie L. Hesketh, Helen Jones, Matthew Cocks and Victoria S Sprung in DIGITAL HEALTH
title: Soundslike
title: Automatic content-based music annotation and recommendation for large databases
titleType: Subtitle
Creators: name: Grollmisch, Sascha
name: Lukashevich, Hanna
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: automatic music classification
subject: music annotation
subject: music recommendation
subject: music similarity search
subject: music information retrieval

description: A manual indexing of large music libraries is both tedious and costly, that is why a lot of music datasets are incomplete or wrongly annotated. An automatic content-based annotation and recommendation system for music recordings is independent of originally available metadata. It allows for generating an objective metadata that can complement manual expert annotations. These metadata can be effectively used for navigation and search in large music databases of broadcasting stations, streaming services, or online music archives. Automatically determined similar music pieces can serve for user-centered playlist creation and recommendation. In this paper we propose a combined approach to automatic music annotation and similarity search based on musically relevant low-level and mid-level descriptors. First, we use machine learning to infer the high-level metadata categories like genre, emotion, and perceived tempo. These descriptors are then used for similarity search. The similarity criteria can be individually weighted and adapted specifically to specific user requirements and musical facets as rhythm or harmony. The proposed method on music annotation is evaluated on an expert-annotated dataset reaching average accuracies of 60% to 90%, depending on a metadata category. An evaluation for the music recommendation is conducted for different similarity criteria showing good results for rhythm and tempo similarity with precision of 0:51 and 0:71 respectively.
Arachne: an OWL RL reasoner applied to gene ontology causal activity models (and beyond)
Creators: name: Balhoff, James P.
name: Good, Benjamin M.
name: Carbon, Seth
name: Mungall, Christopher J.
Publisher: name: F1000 Research Limited
Year: 2018

description: Arachne is an RDF rule engine with support for efficient reasoning with large OWL RL terminologies. Arachne is being used by the Gene Ontology (GO) Consortium to provide real-time reasoning within the Noctua modeling tool while creating GO “Causal Activity Models”.
Additional file 1 of General practitioners’ perspectives on relocating care: a Dutch interview study
Creators: name: Damen, L.J.
name: Van Tuyl, L.H.D.
name: Knottnerus, B. J.
name: De Jong, J.D.
Publisher: name: figshare
Year: 2024
Subjects: Biotechnology
Biological Sciences not elsewhere classified
Cancer
Science Policy
Mental Health

description: Supplementary Material 1: Exploratory focus group topic list/interview guide
title: Automatic speech/music discrimination for broadcast signals
Creators: name: Kruspe, Anna
name: Zapf, Dominik
name: Lukashevich, Hanna
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: speech/music discrimination
subject: music/speech classification
subject: music detection
subject: music analysis

description: Automatic speech/music discrimination describes the task of automatically detecting speech and music audio within a recording. This is useful for a great number of tasks in both research and industry. In particular, this approach can be used for broadcast signals (e.g. from TV or radio stations) in order to determine the amount of music played. The results can then be used for various reporting purposes (e.g. for royalty collection societies such as the German GEMA). Speech/music discrimination is commonly performed by using machine learning technologies, where models are first trained on manually annotated data, and can then be used to classify previously unseen audio data. In this paper, we give an overview over the applications and the state of the art of speech/music discrimination. Afterwards, we present our approaches based on a set of audio features, Gaussian Mixture Models and Deep Learning. Finally, we give suggestions for the direction of new research into this topic.