Prognose der Verkehrslage in der Region Hannover

Die primäre Anforderung der Verkehrsteilnehmer im Bereich des Straßenverkehrs ist die Kenntnis der aktuellen Verkehrslage. Diese basiert in der Regel auf der wirklich benötigten Reisezeit von sehr vielen Verkehrsteilnehmern, deren Daten häufig im Kontext von Routingdiensten abgegriffen werden.

Im Rahmen von Data4UrbanMobility wurden Werkzeuge entwickelt um eine ganglineinbasierte Prognose der Verkehrslage zu ermöglichen. Die folgende Abbildung zeigt eine Oberfläche auf der typische Ganglinienverläufe und Ausreißer visualisiert werden.

Die Prognose der Verkehrslage kann dann mittels einer Karte für den Endnutzer visualisert werden:

Erste Version der MIC-App bereitgestellt

Eine erste Version der MIC-App (Move in the City) konnte allen Partnerinnen und Partnern des Projekts und einer geschützten Nutzer*innengruppe der Öffentlichkeit zur Verfügung gestellt werden. Die mobile App MiC ist ein Instrument zur Datenerhebung.

Dabei verknüpft MiC – eine Entwicklung des Institute for Sustainable Urbanism ISU der TU Braunschweig und Projektionisten GmbH Hannover – das wachsende Bewusstsein und die Notwendigkeit für digitale Bürger*innenrechte mit den Potentialen mittels der Auswertung großer Datenmengen neue Formen der menschzentrierten Entwicklung von Stadt und Mobilität zu ermöglichen stellt eine Möglichkeit dar, sich aktiv als Bürgerwissenschaftlerin und Bürgerwissenschaftler an der Forschung und Entwicklung der Mobilität für alle in der Stadt der Zukunft zu beteiligen.

MiC erhebt – durch die Nutzerinnen und Nutzer gesteuert – Daten zu Strecken und Art der Fortbewegung. Diese Daten werden pseudonymisiert, so dass ein Rückschluss auf die jeweilige Person nicht mehr möglich ist. Wichtig ist die Vielzahl der Nutzerinnen und Nutzer – nicht die einzelne Bewegung. Die Stadt der Zukunft zeichnet sich aus durch den barrierearmen Zugang zu Mobilität und Erreichbarkeit für alle. Der holistische Ansatz der Forscherinnen und Forscher des Institute for Sustainable Urbanism ISU (TU Braunschweig) sowie der Projektbeteiligten betrachtet Stadt dabei auf verschiedenen Maßstabsebenen und bringt intelligente Planungen – wie z.B. die 5-Minuten Stadt –, Städtebau und innovative Technologien zusammen. Für ein umfassendes Verständnis individueller Mobilität und darauf aufbauende neue Methoden und Werkzeuge für integrierte Verkehrs- und Stadtplanung werden mittels der MiC-App uns umfangreiche und detaillierte Daten darüber geliefert, wie und auf welchem Wege wir uns in der Stadt fortbewegen.

Entwicklungsstand:

In der ersten Version ermöglicht das Stadtforschungstool MiC den Nutzer*innen durch eine einfach Handhabung das Starten und Beenden der „Tracking-Time“ (Bild 1). Wichtig ist, die Nutzer*innen entscheidet selber über den Zeitraum. Als erstes Ergebnis für die Nutzer*innen steht eine Zusammenfassung ihrer bisher aufgezeichneten Routen (Bild2). In den Einstellung (Bild 3) kann der Nutzer sich aktiv an Feedback beteiligen (Bild 4) sowie seinen Account und somit seiner zur Verfügung gestellten Daten löschen (Bild 5).

von links nach recht: Bild1-5 MIC App Interface – Attribution-NonCommercial-ShareAlike 4.0 International  (CC BY-NC-SA 4.0)

Die aktuelle Weiterentwicklung sieht eine Visualisierung der Routen für den jeweiligen Nutzer vor.

Um Teil der Testgruppe zu werden ist zur Zeit noch eine Anmeldung unter: www.mic-app.org notwendig. Die Anwendung ist nicht frei im App Store / GooglePlay Store zu erhalten.

Auf der Internetseite www.mic-app.org wird zusätzlich detailliert auf häufige Fragen (FAQ) zur Anwendung sowie über Entwicklungen und Neuheiten informiert

D4UM Plattform und Dashboard V2

Die neue Version der Plattform inklusive des Dashboards gibt noch detailliertere Auskünfte über die Verkehrssituation

Die farblich unterschiedlichen Label lassen eine schnelle Unterscheidung zwischen den verschiedenen Event typen zu. Durch das klicken auf eines der Events wird der typically affected subgraph angezeigt für diesen Eventtyp.

Beispiele: Visualisierungen eines Konzerts und eines Fußballspiels

Zusätzlich gibt der Graph in der oberen rechten Ecke Auskunft über die Verkehrssituation vor und nach dem Eventstart.

{API}
Es wurden die API Endpunkte mit zusätzlichen Information erweitert.
Diese werden mittels der als Teil der Forschung entwickelten Modellen erstellt.

Erste Version der D4UM-App bereitgestellt

Eine erste Version der D4UM-App konnte allen Partnern des Projekts zur Verfügung gestellt werden. Die App stellt eine Möglichkeit dar, sich Fahrtauskünfte mit dem öffentlichen Personennahverkehr in Niedersachsen und Bremen (Datengrundlage: EFA – elektronische Fahrplanauskunft für Niedersachsen und Bremen) ausgeben zu lassen. Im Fokus stand hierbei, dass der Nutzer schnell und einfach an die für ihn wichtigen Informationen gelangen kann, um so seine Reise möglichst simpel planen zu können.

Folgende Funktionen dienen dabei in der ersten Version der schnellen Auskunft:

Abfahrten und Verbindungen

Über die Funktion Abfahrten lassen sich Abfahrtszeiten an einer bestimmten oder an nahegelegenen Haltestellen ermitteln. Unter Verbindungen können hingegen Fahrtvorschläge von einem Startpunkt (Adresse oder Haltestelle) zu einem Zielpunkt gesucht werden. Zeiten stehen dabei auch in Echtzeit zur Verfügung, sodass auch Verspätungen direkt von dem Nutzer erkannt werden können.

Karte

Über die Karte sind alle Haltestellen zu finden, sodass sich der Nutzer einen Überblick über die nähere Umgebung oder auch den Weg zur Haltestelle oder einem Ziel verschaffen kann.

Wird auf der Karte auf ein Haltestellensymbol oder den zugehörigen Haltestellennamen geklickt, öffnet sich der Abfahrtsmonitor zu dieser Haltestelle. Die nächsten Abfahrten können somit auch über diesen Weg aufgerufen werden.

Darüber hinaus kann sich der Nutzer auch den Verlauf seiner Fahrt anzeigen lassen.

Menü/Einstellungen

Weitere Funktionen und Einstellungen finden sich ergänzend im Menü der App.

Der Nutzer bekommt hier zum einen die Möglichkeit, dass erweiterte Einstellungen zu den Suchanfragen bei Verbindungen oder Abfahrten vorgenommen werden können, und zum anderen, dass er weitere Features verwenden kann. Darunter befindet sich zum Beispiel das Feedbackformular. Hierüber kann unkompliziert Kontakt mit den Entwicklern der D4UM-App per Mail aufgenommen werden. Icons ermöglichen es, dass ein Eindruck zu der App übermittelt werden kann. Ein weiteres Feld für Freitext bietet zudem Platz für individuelle Kritik und einer Meinung zu der App. So kann in Zukunft kundennah an der App weiterentwickelt und einfach auf Wünsche und Meinungen reagiert werden.

Quantifizierungen und Vorhersage von Auswirkungen von Veranstaltungen

Neue Data4UrbanMobility-Forschungsergebnisse ermöglichen es, die räumlichen Auswirkungen von Veranstaltungen zu quantifizieren und vorherzusagen. Dazu werden zusammenhängende, betroffene Straßenabschnitte in der Nähe von Veranstaltungen identifiziert. Auf dieser Grundlage kann dann die räumliche Auswirkung quantifiziert werden. Das Verfahren ist in der folgenden Grafik dargestellt.

(Karte von https://www.openstreetmap.org)

Hier in Gelb markiert ist eine Veranstaltung, in Rot betroffene Straßenabschnitte und in Dunkelblau die gemessene Auswirkung. Weiterhin wurden Verfahren des Maschinellen Lernens angewandt, um diese Auswirkungen zu prognostizieren. Dabei konnte der Fehler gegenüber bestehenden state-of-the-art Ansätzen um bis zu 40% verringert werden.

D4UM – Plattform V1 fertiggestellt

Die erste Version der Data4UrbanMobility Plattform wurde fertiggestellt. Dazu wurde zunächst eine 3-Schichten Architektur der Plattform konzipiert und implementiert. Die Plattform bietet RESTfull Webservices für Mobilitätsapplikationen wie Dashboard-Anwendungen oder Apps an. Als erste Beispielanwendung wurde dazu eine interaktive Karte entwickelt, die die Auswirkungen von Veranstaltungen visualisiert. Ein Ausschnitt aus der Anwendung ist im folgenden Screenshot zu sehen.

Zu sehen sind 4 Veranstaltungen in Hannover. Die Farben entsprechen dabei unterschiedlichen Veranstaltungsarten (etwa Konzerte, Messen, Fußballspiele). Die Kreise visualisieren die räumlichen Auswirkungen, die diese Veranstaltungen auf den Verkehr hatten.

Umfangreicher Anforderungskatalog
Die Data4UrbanMobility Anforderungsanalyse umfasst die Erfassung der Anforderungen der Anwendungspartner Region Hannover (RH) und Wolfsburg AG (WAG), sowie der nicht-funktionalen Anforderungen. Aus den Anforderungen der AnwendungspartnerInnen (RH und WAG), die von MOMA erhoben wurden, sind von L3S Forschungsfragen für die Datenanalyse abgeleitet worden, die sich speziell auf die Informationsbedürfnisse der AnwenderInnen beziehen und im weiteren Projektverlauf adressiert werden.

Die aktuelle Forschungsfragen adressieren insbesondere:

1.  Automatische Verifikation von Verkehrswarnmeldungen und Prognose von deren Auswirkungen.
2.  Identifikation von Veranstaltungen und Prognose verkehrsrelevanter Auswirkungen.
3. Korrelation von IV-Reiseflussdaten, EFA-Querylogs, Warnmeldungen und Twitterfeeds.
4. Bestimmung von optimalen Reisezeitpunkte.

Wachsende Datensammlung

Das ISU hat einen umfassende Datenmatrix mit potentiellen Quellen für mobilitätsrelevante Daten  erstellt. Das von L3S entwickelte Data4UrbanMobility Datenmodell beschreibt alle projektrelevanten Daten und setzt diese in Verbindung um die Daten sowohl für die Analyse als auch für die Anwendungen und Apps einheitlich zur Verfügung zu stellen. Die ausgewählten Datenquellen sind von L3S in das Data4UrbanMobility Datenmodell überführt. Einige der Datenquellen wie EFA-logs, und IV-Daten sind dabei auf deren Qualität geprüft worden.

Um die Datenintegration zu ermöglichen sind Werkzeuge zur Extraktion der relevanten Daten aus Mobilitätsrelevanten Datenquellen entwickelt worden:

• Straßen- und Graphextraktion aus OpenStreetMap
• EFA-Anfragen Bulkloader für die Extraktion der ÖPNV Anfragen aus EFA Logs
• Integration von Daten aus dem Zentralen Haltestellen Verzeichnis (ZHV) inklusive Verknüpfung der Daten mit den EFA-Anfragen

Die aktuelle Datensammlung (Stand: 12 Dezember 2017) umfasst:

EFA-Logs: 17 Mio. Suchanfragen
IV-Daten: 174 Tsd. Straßen, alle 15 Minuten
GTFS-Daten: 90 Tsd. Haltestellen, 2,6 Tsd. Routen
Wetter: Radolan Regenraster
Twitter: 2,5 Mio. Tweets ab Juni 2017

OSM: 440 Tsd. Straßen
Events: 21 Tsd. Veranstaltungen (14.08.2016-17.07.2018)

Warnmeldungen: 13 Tsd. Warnmeldungen (ab 06.2017)

Visualisierungen der ÖPNV Informationen

Zur intuitiven Analyse von mobilitätsrelevanten Informationen, insbesondere von ÖPNV Informationen, wurde von den PROJEKTIONISTEN (PROJ) eine Dashboard-Webapplikation konzipiert. Erste Prototypen visualisieren Anfragen an das regionale Fahrplanauskunftsystem EFA (www.efa.de) und dienen als Ausgangsbasis für explorative Analysen und die Implementierung der produktiven Version des Dashboards. Im Folgenden ist eine im Dashboard integrierte Visualisierung der häufigsten Start- und Ziel-punkte zu sehen.

Analysen der EFA-Logs
Als erste Forschungsfrage wird aktuell die Analyse der Auswirkungen der Veranstaltungen auf dem ÖPNV mit Methoden des Maschinellen Lernens analysiert.  Hierzu wurden in explorativen Datenanalysen der Einfluss von großen Veranstaltungen wie z.B. Fussballspielen und mittelgroßen Veranstaltungen, etwa Konzerte, auf Anfragen an den ÖPNV betrachtet.  Als Grundlage für umfassende Analysen wurden mit Hilfe visueller Methoden exemplarisch Korrelation zwischen ÖPNV-Nachfrage und Veranstaltungszeiträumen detektiert.

Dabei zeichnen sich z.B. für Hannovers Innenstadt klare, sternförmige Muster ab, die zentrale Mobilitätsknoten identifizieren.

Das Bild stellt die Luftlinie zwischen Start- und Ziel-Ort der Anfragen dar. Dabei entsprechen dunklere Farben häufigeren Strecken. Hier werden deutlich Hannover Hauptbahnhof und Hannover Kröpcke (die zentrale U-Bahn Station) als Mobilitätsknoten identifiziert.

Analysen der Nachfrage für einzelne Stationen lassen wochentagspezifische Muster erkennen.

Hier dargestellt sind die durchschnittliche Anzahl der Anfragen mit der Ziel-Haltestelle “Hannover Stadionbrücke”. Zu erkennen sind vor allem Unterschiede zwischen Werktagen und dem Wochenende.

Auch der Einfluss von Veranstaltungen kann mit Hilfe der Anfragen visualisiert werden:

Dargestellt sind die Anzahl der Anfragen mit Ziel “Hannover Stadionbrücke” für Mittwoch, den 26.04.2017 (Orange) sowie die durchschnittlichen Anzahl von Anfragen, die mittwochs mit gleichem Ziel gestellt wird (Blau).
An diesem Tag fand in einer nahe gelegenen Konzerthalle ein Konzert statt, das um 20 Uhr begann. Die signifikante Abweichung zwischen 17 und 19 Uhr wurde sehr wahrscheinlich von den anreisenden Gästen verursacht wurde. Dies illustriert, dass Anfragen an den ÖPNV eine wertvolle Informationsquelle sein können, um Prognosen über die Auswirkung von Veranstaltungen auf Mobilität zu erstellen.

• Inductive biases in deep learning models for weather prediction. Thuemmel, Jannik; Karlbauer, Matthias; Otte, Sebastian; Zarfl, Christiane; Martius, Georg; Ludwig, Nicole; Scholten, Thomas; Friedrich, Ulrich; Wulfmeyer, Volker; Goswami, Bedartha; Butz, Martin V. (2024).
• Aardvark Weather: end-to-end data-driven weather forecasting Vaughan, Anna; Markou, Stratis; Tebbutt, Will; Requeima, James; Bruinsma, Wessel P.; Andersson, Tom R.; Herzog, Michael; Lane, Nicholas D.; Hosking, J. Scott; Turner, Richard E. (2024).
• How does pedestrian permeability vary in and across cities? A fine-grained assessment for all large cities in Germany. Droin, Ariane; Wurm, Michael; Weigand, Matthias; Gawlas, Carsten; Köberl, Manuel; Taubenböck, Hannes (2024). 110 102115.

  Pedestrian permeability is a key aspect of the accessibility of urban environments. In particular, high permeability increases the walkability of cities, which is advocated by sustainable urban design practices. Previous research on pedestrian permeability has predominantly focused only on single and very specific, characteristic, and homogenous urban morphologies but investigations at a broader scale have not been conducted up to now. In this paper, we apply the concept of Individual Walkable Neighbourhoods (IWN) to measure local urban pedestrian permeability for all large cities in Germany with more than 100,000 inhabitants. Our results reveal great differences in intra- and inter-urban pedestrian permeability, and based on examples, we explore various factors that influence local permeability, such as topography or structural types. Furthermore, the large-scale analysis is used to identify characteristic patterns of high (e.g., urban centers) or low (e.g., neighbourhoods of single-family detached houses) permeability for German cities.
• Spectral Asymmetry Induces a Re‐Entrant Quantum Hall Effect in a Topological Insulator. Wang, Li‐Xian; Beugeling, Wouter; Schmitt, Fabian; Lunczer, Lukas; Mayer, Julian‐Benedikt; Buhmann, Hartmut; Hankiewicz, Ewelina M.; Molenkamp, Laurens W. (2024).

  The band inversion of topological materials in three spatial dimensions is intimately connected to the parity anomaly of 2D massless Dirac fermions, known from quantum field theory. At finite magnetic fields, the parity anomaly reveals itself as a non-zero spectral asymmetry, i.e., an imbalance between the number of conduction and valence band Landau levels, due to the unpaired zero Landau level. This work reports the realization of this 2D Dirac physics at a single surface of the 3D topological insulator (Hg,Mn)Te. An unconventional re-entrant sequence of quantized Hall plateaus in the measured Hall resistance can be directly related to the occurrence of spectral asymmetry in a single topological surface state. The effect should be observable in any topological insulator where the transport is dominated by a single Dirac surface state.
• Understanding Google’s Perspective on 503 Status Codes. w3era (w3era, ed.) (2024).
• Advanced Privacy Scheme to Improve Road Safety in Smart Transportation Systems. Fadhil, Ali Muayed (2024). 16(2)

  Answering natural-language questions may often involve identifying hidden associations and implicit relationships. In some cases, an explicit question is asked by the user to discover some hidden concept related to a set of entities. Answering the explicit question and identifying the implicit entity both require the system to discover the semantically related but hidden concepts in the question. In this paper, we describe a spreading-activation approach to concept expansion, backed by three distinct knowledge resources for measuring semantic relatedness. We discuss how our spreading-activation approach is applied to address these questions, exemplified in Jeopardy! by questions in the “COMMON BONDS�? category and by many Final Jeopardy! questions. We demonstrate the effectiveness of the approach by measuring its impact on IBM Watson performance on these questions.
• Hiding Behind Algorithms: People Analytics and Perceived Fairness Violation in Managerial Decisions. Klöpper, Miriam; Messer, Uwe (2024).

  People analytics – algorithmic systems in personnel management – constantly collect and process employee-generated data. This allows the systems to generate actionable insights to support managerial decisions. Thus, People analytics can become a mediator between managers and employees, challenging and redefining their dynamics, relationships, and communication. We conduct an online experiment where participants take the role of employees, performing a real effort task. In manipulated scenarios, rewards for completing the task are either distributed by a team leader without algorithmic support, a team leader with the option of algorithmic support, or a team leader who delegates the process of rewarding employees towards an autonomous system. Our results indicate that the involvement of PA has downstream consequences and induces feelings of unfairness and betrayal, which ultimately increase demands for reparation and general retaliatory behaviour against the manager and the organisation.
• Inductive biases in deep learning models for weather prediction. Thuemmel, Jannik; Karlbauer, Matthias; Otte, Sebastian; Zarfl, Christiane; Martius, Georg; Ludwig, Nicole; Scholten, Thomas; Friedrich, Ulrich; Wulfmeyer, Volker; Goswami, Bedartha; Butz, Martin V. (2024).
• Generative Diffusion-based Downscaling for Climate. Watt, Robbie A.; Mansfield, Laura A. (2024).
• Machine learning for climate physics and simulations. Lai, Ching-Yao; Hassanzadeh, Pedram; Sheshadri, Aditi; Sonnewald, Maike; Ferrari, Raffaele; Balaji, Venkatramani (2024).
• ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs. Verma, Yogesh; Heinonen, Markus; Garg, Vikas (2024).
• DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations. Stock, Jason; Pathak, Jaideep; Cohen, Yair; Pritchard, Mike; Garg, Piyush; Durran, Dale; Mardani, Morteza; Brenowitz, Noah (2024).
• Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods Ali, Sahara; Hasan, Uzma; Li, Xingyan; Faruque, Omar; Sampath, Akila; Huang, Yiyi; Gani, Md Osman; Wang, Jianwu (2024).
• A data-driven framework for dimensionality reduction and causal inference in climate fields Falasca, Fabrizio; Perezhogin, Pavel; Zanna, Laure (2024).
• Interpretable Machine Learning for Weather and Climate Prediction: A Survey Yang, Ruyi; Hu, Jingyu; Li, Zihao; Mu, Jianli; Yu, Tingzhao; Xia, Jiangjiang; Li, Xuhong; Dasgupta, Aritra; Xiong, Haoyi (2024).
• Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction. Huang, Zhixin; Nivarthi, Chandana Priya; Gruhl, Christian; Sick, Bernhard (2024).

  In the increasingly complex industrial system health management domain, accurate prediction of remaining useful life plays an essential role. This paper analyzes the methods to improve the predictive performance of remaining useful life from three aspects: optimizing model structures, augmenting uncertainty estimation in predictions, and transitioning normalization methods. Based on our analysis, we propose a novel model, the Uncertainty Spatial-Temporal Attention Graph Neural Network (USTAGNN), which consists of three primary components: sensor graph construction, a spatio-temporal feature extractor, and a probabilistic prediction module. The feature extractor leverages graph neural networks and temporal convolutional networks as a foundation to extract spatial and temporal features, further enhanced by attention mechanisms, spectral normalization, and residual connections to bolster its distance awareness. Following extensive experimental comparisons, we utilized the parameter-driven dynamic adjacency matrix for sensor graph construction and the deep kernel Gaussian process for precise uncertainty estimation. USTAGNN tries to resolve issues not thoroughly addressed in existing research, such as comparative analyses of sensor graph construction methods, accurate uncertainty estimation, and the model’s generalization under different preprocessing conditions. The proposed model demonstrated state-of-the-art performance on various subsets of the C-MAPSS dataset, achieving up to a 35.9% improvement in prediction score.
• An ensemble of data-driven weather prediction models for operational sub-seasonal forecasting Weyn, Jonathan A.; Kumar, Divya; Berman, Jeremy; Kazmi, Najeeb; Klocek, Sylwester; Luferenko, Pete; Thambiratnam, Kit (2024).
• Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model Sha, Yingkai; Sobash, Ryan A.; au2, David John Gagne II (2024).
• Conditional diffusion models for downscaling & bias correction of Earth system model precipitation. Aich, Michael; Hess, Philipp; Pan, Baoxiang; Bathiany, Sebastian; Huang, Yu; Boers, Niklas (2024).
• Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications. Schreck, John S.; au2, David John Gagne II; Becker, Charlie; Chapman, William E.; Elmore, Kim; Fan, Da; Gantos, Gabrielle; Kim, Eliot; Kimpara, Dhamma; Martin, Thomas; Molina, Maria J.; Pryzbylo, Vanessa M.; Radford, Jacob; Saavedra, Belen; Willson, Justin; Wirz, Christopher (2024).
• Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications. Schreck, John S.; au2, David John Gagne II; Becker, Charlie; Chapman, William E.; Elmore, Kim; Fan, Da; Gantos, Gabrielle; Kim, Eliot; Kimpara, Dhamma; Martin, Thomas; Molina, Maria J.; Pryzbylo, Vanessa M.; Radford, Jacob; Saavedra, Belen; Willson, Justin; Wirz, Christopher (2024).
• Optimal Number and Positioning of Inertial Measurement Units in Spherical Robots. Bösch, C.; Zevering, J.; Nüchter, A. in Lecture Notes in Networks and Systems (2024). (Vol. 2) 509–520.

  Spherical robots are a rather niche part of robotics. Often IMUs are used for orientation determination of those robots. These IMUs are mostly placed in the center of the spherical shape, but for different subtypes of spherical robots, this is not possible due to different drive mechanism. This paper evaluates Inertial Measurement Unit (IMU) configurations for different spherical robot types in terms of orientation determination accuracy in a series of four experiments. We establish the relationship between the accuracy of orientation determination and the following aspects of IMU configurations: (A) the number of IMUs, (B) the distance of an IMU from the center of the sphere, (C) symmetrical placement of IMUs around the sphere’s center, and (D) axial placement. Based on the findings of these experiments, we set up the optimal configurations for the different types of spherical robots.
• Sora for Smart Mining: Towards Sustainability With Imaginative Intelligence and Parallel Intelligence. Xie, Yuting; Wang, Cong; Liu, Kunhua; Xuanyuan, Zhe; He, Yuhang; Cheng, Hui; Nüchter, A.; Li, Lingxi; Huai, Rouxing; Tang, Shuming; Ma, Siji; Chen, Long (2024). 1–2.
• Virtual Body Swapping: A VR-Based Approach to Embodied Third-Person Self-Processing in Mind-Body Therapy. Döllinger, Nina; Mal, David; Keppler, Sebastian; Wolf, Erik; Botsch, Mario; Israel, Johann Habakuk; Latoschik, Marc Erich; Wienrich, Carolin (2024). 1–18.

  Virtual reality (VR) offers various opportunities for innovative therapeutic approaches, especially regarding self-related mind-body interventions. We introduce a VR body swap system enabling multiple users to swap their perspectives and appearances and evaluate its effects on virtual sense of embodiment (SoE) and perception- and cognition-based self-related processes. In a self-compassion-framed scenario, twenty participants embodied their personalized, photorealistic avatar, swapped bodies with an unfamiliar peer, and reported their SoE, interoceptive awareness (perception), and self-compassion (cognition). Participants' experiences differed between bottom-up and top-down processes. Regarding SoE, their agency and self-location shifted to the swap avatar, while their top-down self-identification remained with their personalized avatar. Further, the experience positively affected interoceptive awareness but not self-compassion. Our outcomes offer novel insights into the SoE in a multiple-embodiment scenario and highlight the need to differentiate between the different processes in intervention design. They raise concerns and requirements for future research on avatar-based mind-body interventions.
• Towards an Altered Body Image Through the Exposure to a Modulated Self in Virtual Reality. Wolf, Erik; Wienrich, Carolin; Latoschik, Marc Erich (2024). 857–858.

  Self-exposure using modulated embodied avatars in virtual reality (VR) may support a positive body image. However, further investigation is needed to address methodological challenges and to understand the concrete effects, including their quantification. We present an iteratively refined paradigm for studying the tangible effects of exposure to a modulated self in VR. Participants perform body-centered movements in front of a virtual mirror, encountering their photorealistically personalized embodied avatar with increased, decreased, or unchanged body size. Additionally, we propose different body size estimation tasks conducted in reality and VR before and after exposure to assess participants' putative-elicited perceptual adaptations.
• Conceptual Mapping of Controversies. Draude, Claude; Dürrschnabel, Dominik; Hirth, Johannes; Horn, Viktoria; Kropf, Jonathan; Lamla, Jörn; Stumme, Gerd; Uhlmann, Markus (2024).

  With our work, we contribute towards a qualitative analysis of the discourse on controversies in online news media. For this, we employ Formal Concept Analysis and the economics of conventions to derive conceptual controversy maps. In our experiments, we analyze two maps from different news journals with methods from ordinal data science. We show how these methods can be used to assess the diversity, complexity and potential bias of controversies. In addition to that, we discuss how the diagrams of concept lattices can be used to navigate between news articles
• Invariant Grassmannians and a K3 surface with an action of order 192*2. Muller, Stevell (2024).
• Amalgams of matroids, fibre products and tropical graph correspondences. Mineev, Dmitry (2024).
• Gorakhpur to Nepal Tour Package. Akash, Yadav (2024).
• Multi-Task Representation Learning with Temporal Attention for Zero-Shot Time Series Anomaly Detection. Nivarthi, Chandana Priya; Huang, Zhixin; Gruhl, Christian; Sick, Bernhard (2024).

  Ensuring the reliability of critical industrial systems across various sectors is crucial. It is essential to detect deviations from regular behaviour to mitigate disruptions and preserve infrastructure integrity. However, accurately labelling anomaly datasets is challenging due to their rarity and manual annotation subjectivity. The conventional approach of training separate models for each dataset entity further complicates model development. This paper presents a novel Multi-task Learning framework combining LSTM Autoencoder with temporal attention mechanism (MTL-LATAM) for effective time series anomaly detection. Multitask learning models improve adaptability and generalizability, leading to reduced runtime and compute power while supporting zero-shot evaluation. These models offer flexibility in detecting emerging anomalies. Additionally, we introduce a dynamic thresholding mechanism to incorporate temporal context for anomaly detection and provide visualizations of attention weights to enhance interpretability. The study compares MTL- LATAM, with other multi-task models, evaluates multi-task versus single-task models and assesses the performance of the proposed frame- work in zero-shot learning scenarios. The findings indicate MTL- LATAM’s effectiveness across real-world and open-source datasets, achieving 95% and 97% task synergy. The results underscore the superior performance of multi-task models in zero-shot tasks compared to individual models trained exclusively on their respective datasets.
• How Cluster RCTs Work. Li, Suellen; Hardin, C. Corey; Fralick, Michael; Muller, Daniel; Koscal, Natalie; Normand, Sharon-Lise; Sacks, Chana A. (2024). 3(5)
• #Best Site to Buy Verified PayPal Accounts. Us), 24 Hours Reply/(Contact; bestsmmsolution@gmail.com, Email :; @bestsmmsolution0, Telegram :; +1(530)5636354, WhatsApp :; BestSMMSolution, Skype : (https://bestsmmsolution.com/product/buy-verified-paypal accounts/, ed.) (2024).
• IGLU 2021. Skalenhandbuch zur Dokumentation der Erhebungsinstrumente und Arbeit mit den Datensätzen Schaufelberger, Rahim; Kleinkorres, Ruben; Becher, Laura; Ludewig, Ulrich; Lorenz, Ramona; McElvany, Nele (R. Schaufelberger; R. Kleinkorres; L. Becher; U. Ludewig; R. Lorenz; N. McElvany, eds.) (2024).
• Generative Inpainting for Shapley-Value-Based Anomaly Explanation. Tritscher, Julian; Lissmann, Philip; Wolf, Maximilian; Krause, Anna; Hotho, Andreas; Schlör, Daniel (2024).

  Feature relevance explanations currently constitute the most used type of explanation in anomaly detection related tasks such as cyber security and fraud detection. Recent works have underscored the importance of optimizing hyperparameters of post-hoc explainers which show a large impact on the resulting explanation quality. In this work, we propose a new method to set the hyperparameter of replacement values within Shapley-value-based post-hoc explainers. Our method leverages ideas from the domain of generative image inpainting, where generative machine learning models are used to replace parts of a given input image. We show that these generative models can also be applied to tabular replacement value generation for Shapley-value-based feature relevance explainers. Experimentally, we train a denoising diffusion probabilistic model for generative inpainting on two tabular anomaly detection datasets from the domains of network intrusion detection and occupational fraud detection, and integrate the generative inpainting model into the SHAP explanation framework. We empirically show that generative inpainting may be used to achieve consistently strong explanation quality when explaining different anomaly detectors on tabular data.
• Human paraneoplastic antigen Ma2 (PNMA2) forms icosahedral capsids that can be engineered for mRNA delivery. Madigan, Victoria; Zhang, Yugang; Raghavan, Rumya; Wilkinson, Max E.; Faure, Guilhem; Puccio, Elena; Segel, Michael; Lash, Blake; Macrae, Rhiannon K.; Zhang, Feng (2024). 121(11)
• Librarians’ attitudes toward library’s roles in environmental sustainability. Ren, Xiaoai; Lu, Jia (2024). 19(2)

  The library community has been committed to environmental sustainability. The Green Library Movement calls for libraries to green their building, operation, and services. The International Federation of Library Associations and Institutions (IFLA) calls for libraries to actively contribute to the United Nations Sustainable Development Goals (SDGs) in which environmental sustainability was one of the three aspects of sustainability in addition to social and economic sustainability. The American Library Association (ALA) has also added sustainability as one of the core values of librarianship. However, previous research identified a gap between librarians' perceived importance of environmental sustainability and the actual practices adopted in their libraries that contribute to environmental sustainability. This current study focuses on examining librarians' attitudes toward the roles of libraries in environmental sustainability advocated by IFLA and ALA by surveying librarians from California, Florida, and Georgia identified from the state library association listservs and the individual library websites. Data were analyzed using descriptive and inferential statistics and the Geographic Information System (GIS) spatial analysis. Findings from this study will add to the understanding of the previously identified gap by comprehending the roles that librarians identify with regarding libraries' contribution to environmental sustainability. The findings will also inform professional organizations on what support their members might need the most in promoting environmental sustainability in society and community. Lastly, the findings could inform curricular development for Library and Information Studies programs interested in preparing librarians with environmental awareness.
• Anomalous diffusion analysis reveals cooperative locomotion of adult parasitic nematodes in sex-mixed groups. Leben, Ruth; Rausch, Sebastian; Elomaa, Laura; Hauser, Anja E.; Weinhart, Marie; Fischer, Sabine C.; Stark, Holger; Hartmann, Susanne; Niesner, Raluca A. (2024).

  Parasitic worms are widespread throughout the world and causing agents of chronic infections in humans and animals. The majority of these pathogens parasitize the gut of the infected hosts, however very little is known about the locomotion of the worms dwelling the gut. We studied the movement of Heligmosomoides bakeri (previously Heligmosomoides polygyrus), a natural infection of rodents and usually used as animal model to study the roundworm infections. We investigated the locomotion of H. bakeri in simplified environments mimicking key physical features of the intestinal lumen, i.e. various medium viscosities, and a periodical intestinal villi topography. The non-periodical nematode motion in these settings could be described by anomalous diffusion theory. Fascinatingly, an oriented, super-diffusive locomotion of nematodes in sex-mixed groups were detected, in the sense of a cooperative migration stimulated by mating and reproduction, while individual nematodes moved randomly, following a diffusive motion regime. High mucus-like medium viscosity and villi topography, representing physical constraints of nematode locomotion, slowed down but did not prevent this cooperative migration. Additionally, the mean displacement rate of nematodes in sex-mixed groups of 6*10-4 mm/s in viscous mucus-like medium are in good agreement with estimates of nematode migration velocities between 10-4 to 10-3 mm/s in the gut. Thus, our data indicate the intestinal nematodes motion to be non-periodic and random but triggered to be oriented by kin of the different sex.Competing Interest StatementThe authors have declared no competing interest.
• Structures of AT8 and PHF1 phosphomimetic tau: Insights into the posttranslational modification code of tau aggregation. El Mammeri, Nadia; Dregni, Aurelio; Duan, Pu; Hong, Mei (2024). 121(10)
• Distinct negative elongation factor conformations regulate RNA polymerase II promoter-proximal pausing. Su, Bonnie G.; Vos, Seychelle M. (2024). 84(7) 1243–1256.e5.
• Effect of Data Degradation on Motion Re-Identification. Nair, Vivek; Miller, Mark Roman; Wang, Rui; Huang, Brandon; Rack, Christian; Latoschik, Marc Erich; O’Brien, James (2024).
• A multi-talented datacube: integrating, processing and presenting big geodata for the agricultural end user. Friedrich, Christoph; Löw, Johannes; Otte, Insa; Hill, Steven; Förtsch, Sebastian; Schwalb-Willmann, Jakob; Gessner, Ursula; Schierghofer, Christoph; Truckenbrodt, Sina; Schonert, Eric; Piernicke, Thomas; Assmann, Denise; Conrad, Christopher; Thiel, Michael (2024).
• Generative Inpainting for Shapley-Value-Based Anomaly Explanation. Tritscher, Julian; Lissmann, Philip; Wolf, Maximilian; Krause, Anna; Hotho, Andreas; Schlör, Daniel (2024).

  Feature relevance explanations currently constitute the most used type of explanation in anomaly detection related tasks such as cyber security and fraud detection. Recent works have underscored the importance of optimizing hyperparameters of post-hoc explainers which show a large impact on the resulting explanation quality. In this work, we propose a new method to set the hyperparameter of replacement values within Shapley-value-based post-hoc explainers. Our method leverages ideas from the domain of generative image inpainting, where generative machine learning models are used to replace parts of a given input image. We show that these generative models can also be applied to tabular replacement value generation for Shapley-value-based feature relevance explainers. Experimentally, we train a denoising diffusion probabilistic model for generative inpainting on two tabular anomaly detection datasets from the domains of network intrusion detection and occupational fraud detection, and integrate the generative inpainting model into the SHAP explanation framework. We empirically show that generative inpainting may be used to achieve consistently strong explanation quality when explaining different anomaly detectors on tabular data.
• “If It’s Not Me It Doesn’t Make a Difference” – The Impact of Avatar Personalization on User Experience and Body Awareness in Virtual Reality. Döllinger, Nina; Beck, Matthias; Wolf, Erik; Mal, David; Botsch, Mario; Latoschik, Marc Erich; Wienrich, Carolin (2023). 483–492.

  Body awareness is relevant for the efficacy of psychotherapy. However, previous work on virtual reality (VR) and avatar-assisted therapy has often overlooked it. We investigated the effect of avatar individualization on body awareness in the context of VR-specific user experience, including sense of embodiment (SoE), plausibility, and sense of presence (SoP). In a between-subject design, 86 participants embodied three avatar types and engaged in VR movement exercises. The avatars were (1) generic and gender-matched, (2) customized from a set of pre-existing options, or (3) personalized photorealistic scans. Compared to the other conditions, participants with personalized avatars reported increased SoE, yet higher eeriness and reduced body awareness. Further, SoE and SoP positively correlated with body awareness across conditions. Our results indicate that VR user experience and body awareness do not always dovetail and do not necessarily predict each other. Future research should work towards a balance between body awareness and SoE.
• Dynamics of spherical telescopic linear driven rotation robots. Zevering, J.; Borrmann, D.; Nüchter, A. (2023).

  Lunar caves are promising features for long-term and permanent human presence on the moon. However, given their inaccessibility to imaging from survey satellites, the concrete environment within the underground cavities is not well known. Thus, to further the efforts of human presence on the moon, these caves are to be explored by robotic systems. However, a set of environmental factors make this exploration particularly challenging. Among those are the very fine lunar dust that damages exposed sensors and actuators and the unknown composition of the surface and obstacles within the cavity. One robotic system that is particularly fit to meet these challenges is that of a spherical robot, as the exterior shell completely separates the sensors and actuators from the hazardous environment. This work introduces the mathematical description in the form of a dynamic model of a novel locomotion approach for this form factor that adds additional functionality. A set of telescopic linearly extending rods moves the robot using a combination of pushing away from the ground and leveraging the gravitational torque. The approach allows the system to locomote, overcome objects by hoisting its center of gravity on top, and transform into a terrestrial laser scanner by using the rods as a tripod.
• Are Embodied Avatars Harmful to our Self-Experience? The Impact of Virtual Embodiment on Body Awareness. Döllinger, Nina; Wolf, Erik; Botsch, Mario; Latoschik, Marc Erich; Wienrich, Carolin (2023). 1–14.

  Virtual Reality (VR) allows us to replace our visible body with a virtual self-representation (avatar) and to explore its effects on our body perception. While the feeling of owning and controlling a virtual body is widely researched, how VR affects the awareness of internal body signals (body awareness) remains open. Forty participants performed moving meditation tasks in reality and VR, either facing their mirror image or not. Both the virtual environment and avatars photorealistically matched their real counterparts. We found a negative effect of VR on body awareness, mediated by feeling embodied in and changed by the avatar. Further, we revealed a negative effect of a mirror on body awareness. Our results indicate that assessing body awareness should be essential in evaluating VR designs and avatar embodiment aiming at mental health, as even a scenario as close to reality as possible can distract users from their internal body signals.
• The Impact of Avatar and Environment Congruence on Plausibility, Embodiment, Presence, and the Proteus Effect in Virtual Reality. Mal, David; Wolf, Erik; Döllinger, Nina; Wienrich, Carolin; Latoschik, Marc Erich (2023). 29(5) 2358–2368.

  Many studies show the significance of the Proteus effect for serious virtual reality applications. The present study extends the existing knowledge by considering the relationship (congruence) between the self-embodiment (avatar) and the virtual environment. We investigated the impact of avatar and environment types and their congruence on avatar plausibility, sense of embodiment, spatial presence, and the Proteus effect. In a 2 × 2 between-subjects design, participants embodied either an avatar in sports- or business wear in a semantic congruent or incongruent environment while performing lightweight exercises in virtual reality. The avatar-environment congruence significantly affected the avatar’s plausibility but not the sense of embodiment or spatial presence. However, a significant Proteus effect emerged only for participants who reported a high feeling of (virtual) body ownership, indicating that a strong sense of having and owning a virtual body is key to facilitating the Proteus effect. We discuss the results assuming current theories of bottom-up and top-down determinants of the Proteus effect and thus contribute to understanding its underlying mechanisms and determinants.
• Embodiment and Personalization for Self-Identification with Virtual Humans. Fiedler, Marie Luisa; Wolf, Erik; Döllinger, Nina; Botsch, Mario; Latoschik, Marc Erich; Wienrich, Carolin (2023). 799–800.

  Our work investigates the impact of virtual human embodiment and personalization on the sense of embodiment (SoE) and self-identification (SI). We introduce preliminary items to query self-similarity (SS) and self-attribution (SA) with virtual humans as dimensions of SI. In our study, 64 participants successively observed personalized and generic-looking virtual humans, either as embodied avatars in a virtual mirror or as agents while performing tasks. They reported significantly higher SoE and SI when facing personalized virtual humans and significantly higher SoE and SA when facing embodied avatars, indicating that both factors have strong separate and complimentary influence on SoE and SI.
• Holographic Augmented Reality Mirrors for Daily Self-Reflection on the Own Body Image. Fiedler, Marie Luisa; Wolf, Erik; Wienrich, Carolin; Latoschik, Marc Erich (2023). 1–4.

  Mirror self-reflection can help us to develop a deeper understanding and appreciation of our body. Due to technological advancements, holographic augmented reality (AR) mirrors can create realistic visualizations of virtual humans that can represent one's appearance in an altered way while remaining in a familiar environment. Further developing those mirrors opens a new field for use in everyday life. In this work, we outline possible future scenarios where AR mirrors can empower individuals to visualize their emotions, thought patterns, and discrepancies related to their physical body and mental body image. Thus, AR mirrors can encourage their self-reflection, promote a positive and healthy relationship with their bodies, or motivate them to take action to improve their well-being.
• Auswirkung von (virtuellen) Körperbildübungen auf das Ernährungsverhalten von Personen mit Adipositas – Ergebnisse der ViTraS-Pilotstudie. Gemesi, Kathrin; Döllinger, Nina; Weinberger, Natascha-Alexandra; Wolf, Erik; Mal, David; Wienrich, Carolin; Luck-Sikorski, Claudia; Bader, Erik; Holzapfel, Christina (2023). 17(03) S10–05.

  Einleitung Die multimodale Adipositastherapie besteht aus Elementen der Ernährung, der Bewegung und des Verhaltens bzw. des Körperbildes. Anwendungen der virtuellen Realität (VR) können das Methodenspektrum der Körperbildtherapie erweitern. Im vorliegenden Projekt wurde ein VR-System (bestehend aus einem Avatar und einem virtuellen Spiegel) zur Verbesserung von Körperwahrnehmung und Körperbild bei Personen mit Adipositas entwickelt. Methoden Im Rahmen der multizentrischen kontrollierten ViTraS-Pilotstudie (Registrierungsnummer: DRKS00027906) wurden bei Personen mit Adipositas virtuelle bzw. traditionelle Körperbildübungen angewendet. Es fanden drei Sitzungen im Abstand von ca. zwei Wochen statt. Über die Zeit wurden anthropometrische Daten sowie Daten zum Ernährungsverhalten (Dutch Eating Behavior Questionnaire (DEBQ) und eine Auswahl von Fragen des The Eating Motivation Survey (TEMS)) erfasst. In zwei Sitzungen wurden Körperbildübungen virtuell (VR-Gruppe) oder nicht-virtuell (Kontrollgruppe) durchgeführt. Eine online Follow-Up-Datenerhebung fand 6 Wochen nach der letzten Sitzung statt. Ergebnisse Insgesamt wurden 66 Personen (VR-Gruppe: 31, Kontrollgruppe: 35) in die Studie eingeschlossen. Die Personen waren zu 79% (52/66) weiblich, 45±13 Jahre alt und der mittlere BMI lag bei 37±4 kg/m2. Die Auswertung des DEBQ Fragebogens hat ergeben, dass in der VR-Gruppe gezügeltes Essverhalten von Anfang bis Ende der Studie signifikant (p<0,05) zugenommen hat. Die Ergebnisse der Auswahl von Fragen des TEMS hat keine signifikanten (p≥0,05) Unterschiede innerhalb oder zwischen den Gruppen ergeben. Schlussfolgerung Die Studie hat ergeben, dass die Durchführung von virtuellen Körperbildübungen eine Auswirkung auf das Ernährungsverhalten von Personen mit Adipositas haben kann.
• Food Security in the Middle East and North Africa: Perception, Response and Cooperation Strategies. Technical Report (23), Kim, Kangsuk; Han, Saerom; Choi, Dooyoung (S. Lee, ed.) (2023).

  In this context, this study aims to analyze local perceptions of the food crisis in the MENA region, elucidate the responses of individual nations and their patterns of international cooperation, and subsequently derive strategies for South Korea’s food security cooperation in the MENA region. Special emphasis was placed on the study of Egypt, Tunisia, and Morocco in North Africa, regions considered to be highly vulnerable in terms of food security. In the Levant, the food security crisis in Lebanon was assessed, while in the Gulf region, strategies for stabilizing UAE’s food security were explored. Through an in-depth analysis of these representative nations from North Africa, the Levant, and the Gulf, this research sought to provide a comprehensive understanding of food security in the MENA region (The rest omitted).
• De l’expérience du cancer à l’activité de patiente-partenaire : travailler (avec) les émotions dans l’accompagnement des patientes en cancérologie. Delaunay, Marine; Jacques, Béatrice (2023). 25(1)

  L’implication de patientes-partenaires dans des équipes soignantes rejoue un processus d’attribution et de délégation des tâches relatives à la prise en charge des patientes. Ces patientes-partenaires réalisent un travail émotionnel dans le quotidien de leurs missions d’accompagnement des patient·e·s atteint·e·s de cancer, qui a été présent tout au long du processus de leur reconversion professionnelle. Dans la mesure où les espaces médicaux et scientifiques ont toutefois généralement tendance à offrir un accueil réservé à l’expression des émotions, les patientes-partenaires sont amenées à mobiliser différentes stratégies de régulation sur elles et sur les patient·e·s qu’elles accompagnent. Ce travail émotionnel participant de l’équilibre des relations entre patient·e·s et soignant·e·s, les émotions constituent, en définitive, tout autant un support de valorisation de l’activité d’accompagnement des patient·e·s, qu’une forme d’acculturation au monde des soignants. Si le temps passé à réaliser ce travail montre qu’il est une des composantes essentielles du processus de professionnalisation de ce nouveau métier, cela vient aussi réinterroger le(s) modèle(s) relationnels et pourrait assouplir le rapport des soignants aux émotions.
• Computer und Gesellschaft: Roboter und KI als soziale Herausforderung Funk, Michael in Grundlagen der Technikethik (2023). Springer Fachmedien, Wiesbaden.

  Welche Wirkungen haben Robotik und Künstliche Intelligenz (KI) auf die Gesellschaft? Wie verändern Algorithmen und Machine Learning unser soziales Umfeld? Vor welchen ethischen Herausforderungen stehen wir? Vorliegendes Buch bietet zu diesen und weiteren Fragen systematische Analysen. Allgemeine und spezielle Roboterkonzepte von Androiden über Social Robots bis hin zu kollaborativen Industrierobotern werden vorgestellt. Hinzu treten Drohnen im militärischen und zivilen Einsatz sowie diverse Formen der Mensch-Maschine-, Tier-Maschine- und Pflanze-Maschine-Interaktion. Verschiedene Begriffe und Paradigmen der KI werden auch abseits der Informatik herausgearbeitet, reale und spekulative Entwicklungen eingeordnet. Vor diesem Hintergrund geraten ethisch-gesellschaftliche Brennpunkte in den Blick. Beispiele, Aufgaben, vertiefende Infos zu Hintergründen und Übersichten laden zum kritischen Weiterdenken ein. Es bildet den dritten, in sich abgerundeten Teil der Buchreihe Grundlagen derTechnikethik.
• Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. Zhang, Xiaoyu; Xin, Xin; Li, Dongdong; Liu, Wenxuan; Ren, Pengjie; Chen, Zhumin; Ma, Jun; Ren, Zhaochun in WSDM ’23 (2023). 231–239.

  Conversational recommender systems (CRSs) often utilize external knowledge graphs (KGs) to introduce rich semantic information and recommend relevant items through natural language dialogues. However, original KGs employed in existing CRSs are often incomplete and sparse, which limits the reasoning capability in recommendation. Moreover, only few of existing studies exploit the dialogue context to dynamically refine knowledge from KGs for better recommendation. To address the above issues, we propose the Variational Reasoning over Incomplete KGs Conversational Recommender (VRICR). Our key idea is to incorporate the large dialogue corpus naturally accompanied with CRSs to enhance the incomplete KGs; and perform dynamic knowledge reasoning conditioned on the dialogue context. Specifically, we denote the dialogue-specific subgraphs of KGs as latent variables with categorical priors for adaptive knowledge graphs refactor. We propose a variational Bayesian method to approximate posterior distributions over dialogue-specific subgraphs, which not only leverages the dialogue corpus for restructuring missing entity relations but also dynamically selects knowledge based on the dialogue context. Finally, we infuse the dialogue-specific subgraphs to decode the recommendation and responses. We conduct experiments on two benchmark CRSs datasets. Experimental results confirm the effectiveness of our proposed method.
• Biblioteca ecologica ed ecologia della biblioteca. Morgese, Waldemaro (2023). 41(4) 63–71.

  The paper consists of two parts. In the first one it talks about the development of environmental issues with an extensive description of sustainability's several criticism. In the second one it talks about the birth, the growth of the eco-libraries in Italy and the way towards a precise concept with regards to ecological library. The paper ends with some concrete proposals to avoid possible difficulties on the path of the sustainable library.
• SOEP-Core – 2021: Jugend (16-17 Jahre), Stichproben A-L3, M1-M2 + N-Q.. Technical Report (1205), infas (2022).
• Does Distance Matter? Embodiment and Perception of Personalized Avatars in Relation to the Self-Observation Distance in Virtual Reality. Wolf, Erik; Döllinger, Nina; Mal, David; Wenninger, Stephan; Bartl, Andrea; Botsch, Mario; Latoschik, Marc Erich; Wienrich, Carolin (2022). 3

  Virtual reality applications employing avatar embodiment typically use virtual mirrors to allow users to perceive their digital selves not only from a first-person perspective but also from a holistic third-person view. However, due to distance-related biases such as the distance compression effect or a reduced relative rendering resolution, the self-observation distance (SOD) between the user and the virtual mirror might influence how users perceive their embodied avatar. Our article systematically investigates the effects of a short (1 meter), middle (2.5 meter), and far (4 meter) SOD between user and mirror on the perception of personalized and self-embodied avatars. The avatars were photorealistic reconstructed using state-of-the-art photogrammetric methods. Thirty participants were repeatedly exposed to their real-time animated self-embodied avatars in each of the three SOD conditions. In each condition, the personalized avatars were repeatedly altered in their body weight, and participants were asked to judge the (1) sense of embodiment, (2) body weight perception, and (3) affective appraisal towards their avatar. We found that the different SODs are unlikely to influence any of our measures except for the perceived body weight estimation difficulty. Here, the participants judged the difficulty significantly higher for the farthest SOD. We further found that the participants' self-esteem significantly impacted their ability to modify their avatar's body weight to their current body weight and that it positively correlated with the perceived attractiveness of the avatar. Additionally, the participants' concerns about their body shape affected how eerie they perceived their avatars. Both measures influenced the perceived body weight estimation difficulty. For practical application, we conclude that the virtual mirror in embodiment scenarios can be freely placed and varied at a distance of one to four meters from the user without expecting major effects on the perception of the avatar.
• Sostenibilità: quali opportunità per la valutazione delle biblioteche. Bilotta, Anna (2022). 40(6) 9–18.

  The paper starts with a brief historical overview of measurement and assessment activities that characterized Italian libraries in the last thirty years, to understand if these are still effectively sustainable. In particular, the paper focuses on terms ``assessment'' and ``sustainability'', analyzing their relationships (and linguistic implications) in terms of ``assessment of sustainability'' and ``sustainability of assessment''. An important question closes the reflection: can sustainability become a new paradigm and a strategic opportunity for Italian libraries and librarianship, also in terms of assessment, in today's information society?
• Resize Me! Exploring the User Experience of Embodied Realistic Modulatable Avatars for Body Image Intervention in Virtual Reality. Döllinger, Nina; Wolf, Erik; Mal, David; Wenninger, Stephan; Botsch, Mario; Latoschik, Marc Erich; Wienrich, Carolin (2022). 3

  Obesity is a serious disease that can affect both physical and psychological well-being. Due to weight stigmatization, many affected individuals suffer from body image disturbances whereby they perceive their body in a distorted way, evaluate it negatively, or neglect it. Beyond established interventions such as mirror exposure, recent advancements aim to complement body image treatments by the embodiment of visually altered virtual bodies in virtual reality (VR). We present a high-fidelity prototype of an advanced VR system that allows users to embody a rapidly generated personalized, photorealistic avatar and to realistically modulate its body weight in real-time within a carefully designed virtual environment. In a formative multi-method approach, a total of 12 participants rated the general user experience (UX) of our system during body scan and VR experience using semi-structured qualitative interviews and multiple quantitative UX measures. Using body weight modification tasks, we further compared three different interaction methods for real-time body weight modification and measured our system’s impact on the body image relevant measures body awareness and body weight perception. From the feedback received, demonstrating an already solid UX of our overall system and providing constructive input for further improvement, we derived a set of design guidelines to guide future development and evaluation processes of systems supporting body image interventions.
• Virtual Reality for Mind and Body: Does the Sense of Embodiment Towards a Virtual Body Affect Physical Body Awareness?. Döllinger, Nina; Wolf, Erik; Mal, David; Erdmannsdörfer, Nico; Botsch, Mario; Latoschik, Marc Erich; Wienrich, Carolin (2022). 1–8.

  Mind-body therapies aim to improve health by combining physical and mental exercises. Recent developments tend to incorporate virtual reality (VR) into their design and execution, but there is a lack of research concerning the inclusion of virtual bodies and their effect on body awareness in these designs. In this study, 24 participants performed in-VR body awareness movement tasks in front of a virtual mirror while embodying a photorealistic, personalized avatar. Subsequently, they performed a heartbeat counting task and rated their perceived body awareness and sense of embodiment towards the avatar. We found a significant relationship between sense of embodiment and self-reported body awareness but not between sense of embodiment and heartbeat counting. Future work can build on these findings and further explore the relationship between avatar embodiment and body awareness.
• Plausibility and Perception of Personalized Virtual Humans between Virtual and Augmented Reality. Wolf, Erik; Mal, David; Frohnapfel, Viktor; Döllinger, Nina; Wenninger, Stephan; Botsch, Mario; Latoschik, Marc Erich; Wienrich, Carolin (2022). 489–498.

  This article investigates the effects of different XR displays on the perception and plausibility of personalized virtual humans. We compared immersive virtual reality (VR), video see-through augmented reality (VST AR), and optical see-through AR (OST AR). The personalized virtual alter egos were generated by state-of-the-art photogrammetry methods. 42 participants were repeatedly exposed to animated versions of their 3D-reconstructed virtual alter egos in each of the three XR display conditions. The reconstructed virtual alter egos were additionally modified in body weight for each repetition. We show that the display types lead to different degrees of incongruence between the renderings of the virtual humans and the presentation of the respective environmental backgrounds, leading to significant effects of perceived mismatches as part of a plausibility measurement. The device-related effects were further partly confirmed by subjective misestimations of the modified body weight and the measured spatial presence. Here, the exceedingly incongruent OST AR condition leads to the significantly highest weight misestimations as well as to the lowest perceived spatial presence. However, similar effects could not be confirmed for the affective appraisal (i.e., humanness, eeriness, or attractiveness) of the virtual humans, giving rise to the assumption that these factors might be unrelated to each other.
• Artificial Intelligence-Based Early Detection Of Acute Kidney Injury After Cardiac Surgery. Kalisnik, Jurij Matija; Bauer, André; Vogt, Ferdinand Aurel; Stickl, Franziska Josephine; Zibert, Janez; Fittkau, Matthias; Bertsch, Thomas; Kounev, Samuel; Fischlein, Theodor (2022).

  Objectives: This study aims to improve early detection of cardiac surgery-associated acute kidney injury using artificial intelligence-based algorithms. Methods: Data from consecutive patients undergoing cardiac surgery between 2008 and 2018 in our institution served as the source for artificial intelligence-based modeling. Cardiac surgery-associated acute kidney injury was defined according to the Kidney Disease Improving Global Outcomes criteria. Different machine learning algorithms were trained and validated to detect cardiac surgery-associated acute kidney injury within 12 hours after surgery. Demographic characteristics, comorbidities, preoperative cardiac status, intra- and postoperative variables including creatinine and hemoglobin values were retrieved for analysis. Results: From 7507 patients analyzed, 1699 patients (22.6 %) developed cardiac surgery-associated acute kidney injury. The ultimate detection model, 'Detect-A(K)I', recognizes cardiac surgery-associated acute kidney injury within 12 hours with an area under the curve of 88.0 %, sensitivity of 78.0 %, specificity of 78.9 %, and accuracy of 82.1 %. The optimal parameter set includes serial changes of creatinine and hemoglobin, operative emergency, bleeding-associated variables, cardiac ischemic time and cardiac function-associated variables, age, diuretics and active infection, chronic obstructive lung and peripheral vascular disease. Conclusion: The 'Detect-A(K)I' model successfully detects cardiac surgery-associated acute kidney injury within 12 hours after surgery with the best discriminatory characteristics reported so far.
• Analyzing Eye Tracking Data in Mirror Exposure. Döllinger, Nina; Göttfert, Christopher; Wolf, Erik; Mal, David; Latoschik, Marc Erich; Wienrich, Carolin (2022). 513–517.

  Mirror exposure is an important method in the treatment of body image disturbances. Eye tracking can support the unaffected assessment of attention biases during mirror exposure. However, the analysis of eye tracking data in mirror exposure comes with various difficulties and is associated with a high manual workload during data processing. We present an automated data processing framework that enables us to determine any body part as an area of interest without placing markers on the bodies of participants. A short, formative user study proved the quality compared to the gold standard. The automatic processing and openness for different systems allow a broad range of applications.
• Virtual Human Coherence and Plausibility – Towards a Validated Scale. Mal, David; Wolf, Erik; Döllinger, Nina; Botsch, Mario; Wienrich, Carolin; Latoschik, Marc Erich (2022). 788–789.

  Virtual humans contribute to users’ state of plausibility in various XR applications. We present the development and preliminary evaluation of a self-assessment questionnaire to quantify virtual human’s plausibility in virtual environments based on eleven concise items. A principal component analysis of 650 appraisals collected in an online survey revealed two highly reliable components within the items. We interpret the components as possible factors, i.e., appearance and behavior plausibility and match to the virtual environment, and propose future work aiming towards a standardized virtual human plausibility scale by validating the structure and sensitivity of both sub-components in XR environments.
• Exploring Presence, Avatar Embodiment, and Body Perception with a Holographic Augmented Reality Mirror. Wolf, Erik; Fiedler, Marie Luisa; Döllinger, Nina; Wienrich, Carolin; Latoschik, Marc Erich (2022). 350–359.

  The embodiment of avatars in virtual reality (VR) is a promising tool for enhancing the user's mental health. A great example is the treatment of body image disturbances, where eliciting a full-body illusion can help identify, visualize, and modulate persisting misperceptions. Augmented reality (AR) could complement recent advances in the field by incorporating real elements, such as the therapist or the user's real body, into therapeutic scenarios. However, research on the use of AR in this context is very sparse. Therefore, we present a holographic AR mirror system based on an optical see-through (OST) device and markerless body tracking, collect valuable qualitative feedback regarding its user experience, and compare quantitative results regarding presence, embodiment, and body weight perception to similar systems using video see-through (VST) AR and VR. For our OST AR system, a total of 27 normal-weight female participants provided predominantly positive feedback on display properties (field of view, luminosity, and transparency of virtual objects), body tracking, and the perception of the avatar’s appearance and movements. In the quantitative comparison to the VST AR and VR systems, participants reported significantly lower feelings of presence, while they estimated the body weight of the generic avatar significantly higher when using our OST AR system. For virtual body ownership and agency, we found only partially significant differences. In summary, our study shows the general applicability of OST AR in the given context offering huge potential in future therapeutic scenarios. However, the comparative evaluation between OST AR, VST AR, and VR also revealed significant differences in relevant measures. Future work is mandatory to corroborate our findings and to classify the significance in a therapeutic context.
• Sampling Multiple Nodes in Large Networks: Beyond Random Walks. Ben-Eliezer, Omri; Eden, Talya; Oren, Joel; Fotakis, Dimitris in WSDM ’22 (2022). 37–47.

  Sampling random nodes is a fundamental algorithmic primitive in the analysis of massive networks, with many modern graph mining algorithms critically relying on it. We consider the task of generating a large collection of random nodes in the network assuming limited query access (where querying a node reveals its set of neighbors). In current approaches, based on long random walks, the number of queries per sample scales linearly with the mixing time of the network, which can be prohibitive for large real-world networks. We propose a new method for sampling multiple nodes that bypasses the dependence in the mixing time by explicitly searching for less accessible components in the network. We test our approach on a variety of real-world and synthetic networks with up to tens of millions of nodes, demonstrating a query complexity improvement of up to x20 compared to the state of the art.
• Graph Collaborative Reasoning. Chen, Hanxiong; Li, Yunqi; Shi, Shaoyun; Liu, Shuchang; Zhu, He; Zhang, Yongfeng in WSDM ’22 (2022). 75–84.

  Graphs can represent relational information among entities and graph structures are widely used in many intelligent tasks such as search, recommendation, and question answering. However, most of the graph-structured data in practice suffer from incompleteness, and thus link prediction becomes an important research problem. Though many models are proposed for link prediction, the following two problems are still less explored: (1) Most methods model each link independently without making use of the rich information from relevant links, and (2) existing models are mostly designed based on associative learning and do not take reasoning into consideration. With these concerns, in this paper, we propose Graph Collaborative Reasoning (GCR), which can use the neighbor link information for relational reasoning on graphs from logical reasoning perspectives. We provide a simple approach to translate a graph structure into logical expressions so that the link prediction task can be converted into a neural logic reasoning problem. We apply logical constrained neural modules to build the network architecture according to the logical expression and use backpropagation to efficiently learn the model parameters, which bridges differentiable learning and symbolic reasoning in a unified architecture. To show the effectiveness of our work, we conduct experiments on graph-related tasks such as link prediction and recommendation based on commonly used benchmark datasets, and our graph collaborative reasoning approach achieves state-of-the-art performance.
• Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. Chen, Yankai; Yang, Menglin; Zhang, Yingxue; Zhao, Mengchen; Meng, Ziqiao; Hao, Jianye; King, Irwin in WSDM ’22 (2022). 94–102.

  Aiming to alleviate data sparsity and cold-start problems of tradi- tional recommender systems, incorporating knowledge graphs (KGs) to supplement auxiliary information has recently gained considerable attention. Via unifying the KG with user-item interactions into a tripartite graph, recent works explore the graph topologies to learn the low-dimensional representations of users and items with rich semantics. These real-world tripartite graphs are usually scale-free, however, the intrinsic hierarchical graph structures of which are underemphasized in existing works, consequently, leading to suboptimal recommendation performance. To address this issue and provide more accurate recommendation, we propose a knowledge-aware recommendation method with Lorentz model of the hyperbolic geometry, namely Lorentzian Knowledge-enhanced Graph convolutional networks for Recommendation (LKGR). LKGR facilitates better modeling of scale-free tripartite graphs after the data unification. Specifically, we employ different information propagation strategies in the hyperbolic space to explicitly encode heterogeneous information from historical interactions and KGs. Additionally, our proposed knowledge-aware attention mechanism enables the model to automatically measure the information contribution, producing the coherent information aggregation in the hyperbolic space. Extensive experiments on three real-world benchmarks demonstrate that LKGR outperforms state-of-the-art methods by 3.6-15.3% of Recall@20 on Top-K recommendation.
• A low rank tensor representation of linear transport and nonlinear Vlasov solutions and their associated flow maps. Guo, Wei; Qiu, Jing-Mei (2022). 458 111089.
• Affordable But Not Cheap: A Case Study of the Effects of Two 3D-Reconstruction Methods of Virtual Humans. Bartl, Andrea; Wenninger, Stephan; Wolf, Erik; Botsch, Mario; Latoschik, Marc Erich (2021). 2

  Realistic and lifelike 3D-reconstruction of virtual humans has various exciting and important use cases. Our and others' appearances have notable effects on ourselves and our interaction partners in virtual environments, e.g., on acceptance, preference, trust, believability, behavior (the Proteus effect), and more. Today, multiple approaches for the 3D-reconstruction of virtual humans exist. They significantly vary in terms of the degree of achievable realism, the technical complexities, and finally, the overall reconstruction costs involved. This article compares two 3D-reconstruction approaches with very different hardware requirements. The high-cost solution uses a typical complex and elaborated camera rig consisting of 94 digital single-lens reflex (DSLR) cameras. The recently developed low-cost solution uses a smartphone camera to create videos that capture multiple views of a person. Both methods use photogrammetric reconstruction and template fitting with the same template model and differ in their adaptation to the method-specific input material. Each method generates high-quality virtual humans ready to be processed, animated, and rendered by standard XR simulation and game engines such as Unreal or Unity. We compare the results of the two 3D-reconstruction methods in an immersive virtual environment against each other in a user study. Our results indicate that the virtual humans from the low-cost approach are perceived similarly to those from the high-cost approach regarding the perceived similarity to the original, human-likeness, beauty, and uncanniness, despite significant differences in the objectively measured quality. The perceived feeling of change of the own body was higher for the low-cost virtual humans. Quality differences were perceived more strongly for one's own body than for other virtual humans.
• Ayurved Life. GIri, Ankit (A. Giri, ed.) (2021).
• The multi-dimensional Hermite-discontinuous Galerkin method for the Vlasov–Maxwell equations. Koshkarov, O.; Manzini, G.; Delzanno, G.L.; Pagliantini, C.; Roytershteyn, V. (2021). 264 107866.
• Self-Avatars in Virtual Reality: A Study Protocol for Investigating the Impact of the Deliberateness of Choice and the Context-Match. Bartl, Andrea; Jung, Sungchul; Kullmann, Peter; Wenninger, Stephan; Achenbach, Jascha; Wolf, Erik; Schell, Christian; Lindeman, Robert W.; Botsch, Mario; Latoschik, Marc Erich (2021). 565–566.

  The illusion of virtual body ownership (VBO) plays a critical role in virtual reality (VR). VR applications provide a broad design space which includes contextual aspects of the virtual surroundings as well as user-driven deliberate choices of their appearance in VR potentially influencing VBO and other well-known effects of VR. We propose a protocol for an experiment to investigate the influence of deliberateness and context-match on VBO and presence. In a first study, we found significant interactions with the environment. Based on our results we derive recommendations for future experiments.
• The Embodiment of Photorealistic Avatars Influences Female Body Weight Perception in Virtual Reality. Wolf, Erik; Merdan, Nathalie; Döllinger, Nina; Mal, David; Wienrich, Carolin; Botsch, Mario; Latoschik, Marc Erich (2021). 65–74.

  Embodiment and body perception have become important research topics in the field of virtual reality (VR). VR is considered a particularly promising tool to support research and therapy in regard to distorted body weight perception. However, the influence of embodiment on body weight perception has yet to be clarified. To address this gap, we compared body weight perception of 56 female participants of normal weight using a VR application. They either (a) self-embodied a photorealistic, non-personalized virtual human and performed body movements in front of a virtual mirror or (b) only observed the virtual human as other's avatar (or agent) performing the same movements in front of them. Afterward, participants had to estimate the virtual human's body weight. Additionally, we considered the influence of the participants' body mass index (BMI) on the estimations and captured the participants' feelings of presence and embodiment. Participants estimated the body weight of the virtual human as their embodied self-avatars significantly lower compared to participants rating the virtual human as other's avatar. Furthermore, the estimations of body weight were significantly predicted by the participant's BMI with embodiment, but not without. Our results clearly highlight embodiment as an important factor influencing the perception of virtual humans' body weights in VR.
• Per una biblioteca sostenibile. Di Domenico, Giovanni (2021). 7(2) 19–27.

  I principii della sostenibilità e la prospettiva dello sviluppo sostenibile riescono oggi a collegare i temi ambientali cruciali che investono il presente e il futuro del pianeta con le altre grandi questioni sociali ed economiche del mondo contemporaneo.
Dopo una breve rassegna della letteratura biblioteconomica sul tema della sostenibilità, l'articolo individua dieci punti che permettono alle biblioteche di essere realmente sostenibili, analizzando poi il loro ruolo alla luce dei 17 Obiettivi di sviluppo sostenibile (SDGs) dell'ONU. Nell'ultima parte, l'articolo riflette sulla necessità delle biblioteche di rendere sostenibile il digitale mettendolo al servizio dello sviluppo sostenibile, anche alla luce degli insegnamenti ricavati dalla pandemia da Covid-19.
• Libraries for a sustainable future. Five pilot projects for the 2030 Agenda. Bernabè, Anna (2021). 11(3) 7–107.

  including TECA Dossier Libraries for a Sustainable Future. Five Pilot Projects for the 2030 Agenda, edited by Anna Bernabè In Memory of Sante Medri (1946-2021)...111-115 'Documenti sonori. Voce, suono, musica in archivi e raccolte', a cura di Dimitri Brunetti, Diego Robotti, Elisa Salvalaggio, Torino, Centro studi piemontesi, 2021...147-150 'Aldo Manuzio en la España del Renacimiento', Madrid, Consejo Superior de Investigaciones Científicas, 2019...140-143 Wolfgang Schmitz, 'Das gedruckte Buch im Zeitalter des Medienwechsels', Stuttgart, Anton Hiersemann Verlag, 2018...135-137 Cristina Battocletti, 'Bobi Bazlen. L'ombra di Trieste', Milano, La Nave di Teseo, 2017...154-158 'Kontext Buch Festschrift für Stephan Füssel', herausgegeben von Christoph Reske, Wiesbaden-Erbenheim, Otto Harrassowitz Verlag, 2020 ...131-135 Pierluigi Allotti, 'La libertà di stampa. Dal XVI secolo a oggi', Bologna, il Mulino, 2020...137-139 Lorenzo Luatti, 'L'emigrazione nei libri di scuola per l'Italia e per gli italiani all'estero. Ideologie, pedagogie, rappresentazioni, cronache editoriali', Todi, Tau; Roma, Fondazione Migrantes, 2018...145-147 Éric Fottorino, 'La presse est un combat de rue', La Tour d'Aigues, Éditions de l'Aube, 2020...151-154 Matteo Ceppi, 'La biblioteca di Gio. Vincenzo Imperiale (Genova, 1582-1648)', Roma-Padova, Antenore, 2020...143-144 'Libri, biblioteche e società. Studi per Rosa Marisa Borraccini', a cura di Alberto Petrucciani, Valentina Sestini, Federico Valacchi, Macerata, EUM, 2020...127-131 Library, Cultural Services and the Community. The Correggio of Alberto Ghidini ...117-124 The 2030 Agenda Through Librarians' Creativity. Ideas of Projects from a Workshop Set Up by the Italian Library Association (AIB)...35-51 Library Training and Professional Development for Sustainability...15-34 Libraries, Development, Sustainability, Impact. Is a New Paradigm Possible?...103-107 Water and Libraries. A Combination That Is Only Apparently Distant...93-102 A Matter of Readability. Spaces, Resources and Reading Promotion for Anyone...83-92 'BuspA2030'. University Libraries, School Libraries and Public Libraries, Together for the 2030 Agenda...53-63 Intergenerational Passages. Bridge Proposals for the 2030 Agenda...73-82 flqqFaux Leatherfrqq: What Are We Talking About? A Sustainability Project...65-72 Libraries as Drivers for Sustainable Development...11-14 Training for Sustainable Development Is a Reality...7-10
• Ancora dagli aperitivi in biblioteca: L’Agenda 2030. Maddaluno, Paola (2020). (4 Giugno)

  Gli aperitivi AIB sono un' iniziativa nata nella fase di distanziamento per l'emergenza sanitaria e diventati con piacere dei soci un momento aggregativo e di scambio di idee molto importante. Il 21 maggio l'aperitivo ha avuto per chi scrive un sapore speciale perché si è parlato di sviluppo sostenibile con la partecipazione dei tre componenti del Gruppo per l'attuazione degli obiettivi di sviluppo sostenibile dell'Agenda ONU (SDGs) con Giovanni Bergamin, Chiara Faggiolani e Rossana Morriello.
• H-Verse Group OF Companies-Tiles Company In Lahore. Random (2020).
• Verso l’Agenda 2030: Biblioteche pubbliche e sviluppo economico sostenibile. Solidoro, Adriano (2020). 38(gennaio-febbraio) 9–15.

  Considering public libraries as fundamental actors of the local economy -- for the variety of resources they offer, which may contribute to the wealth and vitality of the community -- may be part of a territorial development strategy in line with the U.N. 2030 Agenda for Sustainable Development. The 2030 Agenda is a document that represents an undisputed and fundamental point of reference also for public libraries, involving them from different points of view. Just to mention a few of the objectives: provide quality, fair and inclusive education, and learning opportunities for all (goal 4); encourage sustainable, inclusive, sustainable economic growth, full and productive employment and decent work for all (goal 8); build a resilient infrastructure and promote innovation and fair, responsible and sustainable industrialization (objective 9). Agenda 2030 expresses a clear opinion on the unsustainability of the current development model, not only on the environmental level, but also on the economic and social ones and calls for the involvement of all components of society for its sustainable overcoming: from businesses to the public sector, from civil society to philanthropic institutions, from universities and research centers to integration and culture operators (including, above all, public libraries).
• Guide d’annotation pour les polices de caractères Typannot dans le cadre du projet Typannot Graphé (financement DGLFLF 2018). Chevrefils, Léa; Chloé, Thomas.; Bianchini, Claudia S.; Danet, Claire; Doan, Patrick; Rébulard, Morgane; Contesse, Adrien; Boutet, Dominique (2018).
• Conservative fourth-order finite-volume Vlasov–Poisson solver for axisymmetric plasmas in cylindrical (r,v,v) phase space coordinates. Vogman, G.V.; Shumlak, U.; Colella, P. (2018). 373 877–899.
• Ultrafast Imaging of Carrier Cooling in Metal Halide Perovskite Thin Films. https://usa5starit.com/product/buy-verified-cashapp accounts/ (24 24-hour Reply/Contact; ✅Email: usa5starit@gmail.com; ✅Skype: @usa5starit; ✅Telegram: @usa5starit1; ✅whatsapp:+1(716)5011667, eds.) (2018).
• A dynamical adaptive tensor method for the Vlasov–Poisson system. Ehrlacher, Virginie; Lombardi, Damiano (2017). 339 285–306.
• Spectral Solver for Multi-scale Plasma Physics Simulations with Dynamically Adaptive Number of Moments. Vencels, Juris; Delzanno, Gian Luca; Johnson, Alec; Peng, Ivy Bo; Laure, Erwin; Markidis, Stefano (2015). 51 1148–1157.
• MEP Coordination Services - ASC Technology Solutions Technology, ASC (2014).
• A practical introduction to tensor networks: Matrix product states and projected entangled pair states. Orús, Román (2014). 349 117–158.
• Identifying Implicit Relationships. https://usa5starit.com/product/buy-verified-binance accounts/ (24 24-hour Reply/Contact; ✅Email: usa5starit@gmail.com; ✅Skype: @usa5starit; ✅Telegram: @usa5starit1; ✅whatsapp:+1(716)5011667, eds.) (2012). 56(3/4) 12:1–12:10.

  Answering natural-language questions may often involve identifying hidden associations and implicit relationships. In some cases, an explicit question is asked by the user to discover some hidden concept related to a set of entities. Answering the explicit question and identifying the implicit entity both require the system to discover the semantically related but hidden concepts in the question. In this paper, we describe a spreading-activation approach to concept expansion, backed by three distinct knowledge resources for measuring semantic relatedness. We discuss how our spreading-activation approach is applied to address these questions, exemplified in Jeopardy! by questions in the “COMMON BONDS�? category and by many Final Jeopardy! questions. We demonstrate the effectiveness of the approach by measuring its impact on IBM Watson performance on these questions.
• Identifying Implicit Relationships. https://usa5starit.com/product/buy-verified-cashapp accounts/ (24 24-hour Reply/Contact; ✅Email: usa5starit@gmail.com; ✅Skype: @usa5starit; ✅Telegram: @usa5starit1; ✅whatsapp:+1(716)5011667, eds.) (2012). 56(3/4) 12:1–12:10.

  Answering natural-language questions may often involve identifying hidden associations and implicit relationships. In some cases, an explicit question is asked by the user to discover some hidden concept related to a set of entities. Answering the explicit question and identifying the implicit entity both require the system to discover the semantically related but hidden concepts in the question. In this paper, we describe a spreading-activation approach to concept expansion, backed by three distinct knowledge resources for measuring semantic relatedness. We discuss how our spreading-activation approach is applied to address these questions, exemplified in Jeopardy! by questions in the “COMMON BONDS�? category and by many Final Jeopardy! questions. We demonstrate the effectiveness of the approach by measuring its impact on IBM Watson performance on these questions.
• Identifying Implicit Relationships. Chu-Carroll, Jennifer; Brown, Eric W.; Lally, Adam; Murdock, J. William (2012). 56(3/4) 12:1–12:10.

  Answering natural-language questions may often involve identifying hidden associations and implicit relationships. In some cases, an explicit question is asked by the user to discover some hidden concept related to a set of entities. Answering the explicit question and identifying the implicit entity both require the system to discover the semantically related but hidden concepts in the question. In this paper, we describe a spreading-activation approach to concept expansion, backed by three distinct knowledge resources for measuring semantic relatedness. We discuss how our spreading-activation approach is applied to address these questions, exemplified in Jeopardy! by questions in the “COMMON BONDS�? category and by many Final Jeopardy! questions. We demonstrate the effectiveness of the approach by measuring its impact on IBM Watson performance on these questions.
• Tensor-Train Decomposition. Oseledets, I. V. (2011). 33(5) 2295–2317.
• PXpathV: Preventing XPath Injection Vulnerabilities in Web Applications. V.Shanmughaneethi; R.Ravichandran; S.Swamynathan (2011). 2(3) 57–64.

  Generally, most Web applications use relational databases to store and retrieve information. But, the growing acceptance of XML technologies for documents it is logical that security should be integrated with XML solutions. In a web application, an improper user inputs is a main cause for a wide variety of attacks. XML Path or XPath language is used for querying information from the nodes of an XML document. XPath Injection is an attack technique, much like SQL injection, exists when a malicious user can insert arbitrary XPath code into form fields and URL query parameters in order to inject this code directly into the XPath query evaluation engine. Through the crafted input a malicious user would bypass authentication or to access restricted data from the XML data source.Hence, we proposed an approach to detect XPath injection attack in XML databases at runtime. Our approach intercept XPath expression and parse the XQuery expression to find the inputs to be placed in the expression. The identified inputs are used to design an XML file and it would be validated through a schema.
• Effects of the low‐latitude ionospheric boundary condition on the global magnetosphere. Merkin, V. G.; Lyon, J. G. (2010). 115(A10)
• Dalla modalità faccia a faccia ad una lingua scritta emergente: nuove prospettive su trascrizione e scrittura della Lingua dei Segni italiana (LIS). Gianfreda, Gabriele; Petitta, Giulia; Bianchini, Claudia S.; Di Renzo, Alessio; Rossini, Paolo; Lucioli, Tommaso; Pennacchi, Barbara; Lamano, Luca (2009). 413–437.
• Psi u trgovištu Aralica, Ivan (2004). Večernji list, Zagreb.
• Puž Aralica, Ivan (2004). Naklada Pavičić, Zagreb.
• Minds, brains, and programs. Searle, John R. (1980). 3(3) 417–424.

  This article can be viewed as an attempt to explore the consequences of two propositions. (1) Intentionality in human beings (and animals) is a product of causal features of the brain. I assume this is an empirical fact about the actual causal relations between mental processes and brains. It says simply that certain brain processes are sufficient for intentionality. (2) Instantiating a computer program is never by itself a sufficient condition of intentionality. The main argument of this paper is directed at establishing this claim. The form of the argument is to show how a human agent could instantiate the program and still not have the relevant intentionality. These two propositions have the following consequences: (3) The explanation of how the brain produces intentionality cannot be that it does it by instantiating a computer program. This is a strict logical consequence of 1 and 2. (4) Any mechanism capable of producing intentionality must have causal powers equal to those of the brain. This is meant to be a trivial consequence of 1. (5) Any attempt literally to create intentionality artificially (strong AI) could not succeed just by designing programs but would have to duplicate the causal powers of the human brain. This follows from 2 and 4.“Could a machine think?” On the argument advanced here only a machine could think, and only very special kinds of machines, namely brains and machines with internal causal powers equivalent to those of brains. And that is why strong AI has little to tell us about thinking, since it is not about machines but about programs, and no program by itself is sufficient for thinking.
• Buy Verified Paxful Accounts 100% Safe US & UK. Technical Report (PhD dissertation), Mengs, Ulrich (1974).
• Villette Brontë Charlotte in Regent Classics (1957). Thames, London.
• Ontology Feibleman, James K. (1951). The Johns Hopkins University Press, Baltimore.
• Hrvatska smotra: nacionalni, socijalni i knijvzevni mjesevcnik. Šegvić, Kerubin (1933).
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