Die hannIT AöR (Hannoversche Informationstechnologien – Anstalt öffentlichen Rechts) ist der IT-Dienstleister der Region Hannover und ca. 30 weiterer Landkreise und Kommunen in Niedersachsen. Das Sicherheitsrechenzentrum mit verteilten Standorten bildet die systemtechnische Grundlage für den Betrieb und die Weiterentwicklung von Verwaltungsverfahren.

Das Kompetenzcenter Mobilität und GIS betreut Verkehrsinformations- und Planungssysteme, wie die elektronische Fahrplanauskunft oder die Netzverfügbarkeitskarte. Zum Leistungsangebot der hannIT AöR gehören unter anderem

• die elektronische Fahrplanauskunft in Niedersachsen und Bremen (EFA) u.a. für GVH (Großraum Verkehr Hannover) und Braunschweig ,
• der Betrieb des DELFI-Landesserver für Niedersachsen,
• die Echtzeitanbindung der ÖPNV-Unternehmen im GVH
• das multimodale Routing (ÖPNV, Auto, Fahrrad, Fußgänger …)

Darüber hinaus ist hannIT als Dienstleister maßgeblich an Projekten wie

• Connect GmbH (Datenintegration für Niedersachsen und Bremen),
• DELFI e.V. (Deutschlandweite Fahrplanauskunft),
• EU-Spirit (Verbund europäischer Auskunftssysteme)

beteiligt.

Im Projekt D4UM stellt hannIT AöR

• die Plattform (Hard- und Software) zur Verfügung,
• koordiniert die Bereitstellung von SW-Lösungen,
• arbeitet bei den Datenschutz- und Sicherheitsregeln mit
• schafft die Grundlagen für die Integration von IV-Echtzeitdaten und historischen Ganglinen in die Fahrplanauskunft EFA (Prototype)

• Buy Verified Payoneer Accounts. Us), 24 Hours Reply/(Contact; bestsmmsolution@gmail.com, Email :; +1(530)5636354, WhatsApp :; @bestsmmsolution0, Telegram :; BestSMMSolution, Skype : (https://bestsmmsolution.com/product/buy-verified-payoneer accounts/, ed.) (2024). 19(6) 775–779.

  This paper discusses the ways in which automation of industrial processes may expand rather than eliminate problems with the human operator. Some comments will be made on methods of alleviating these problems within the 'classic' approach of leaving the operator with responsibility for abnormal conditions, and on the potential for continued use of the human operator for on-line decision-making within human-computer collaboration.
• 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)
• 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).
• 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).
• #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).
• 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 data-driven framework for dimensionality reduction and causal inference in climate fields Falasca, Fabrizio; Perezhogin, Pavel; Zanna, Laure (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).
• 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.
• 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).
• ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs. Verma, Yogesh; Heinonen, Markus; Garg, Vikas (2024).
• 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)
• Distinct negative elongation factor conformations regulate RNA polymerase II promoter-proximal pausing. Su, Bonnie G.; Vos, Seychelle M. (2024). 84(7) 1243–1256.e5.
• 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).
• Machine learning for climate physics and simulations. Lai, Ching-Yao; Hassanzadeh, Pedram; Sheshadri, Aditi; Sonnewald, Maike; Ferrari, Raffaele; Balaji, Venkatramani (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.
• Generative Diffusion-based Downscaling for Climate. Watt, Robbie A.; Mansfield, Laura A. (2024).
• 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).
• 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.
• 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.
• 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.
• 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.
• How Cluster RCTs Work. Li, Suellen; Hardin, C. Corey; Fralick, Michael; Muller, Daniel; Koscal, Natalie; Normand, Sharon-Lise; Sacks, Chana A. (2024). 3(5)
• 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).
• 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.
• 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
• Amalgams of matroids, fibre products and tropical graph correspondences. Mineev, Dmitry (2024).
• An analysis of the suitability of OpenAlex for bibliometric analyses. Alperin, Juan Pablo; Portenoy, Jason; Demes, Kyle; Larivière, Vincent; Haustein, Stefanie (2024).

  Scopus and the Web of Science have been the foundation for research in the science of science even though these traditional databases systematically underrepresent certain disciplines and world regions. In response, new inclusive databases, notably OpenAlex, have emerged. While many studies have begun using OpenAlex as a data source, few critically assess its limitations. This study, conducted in collaboration with the OpenAlex team, addresses this gap by comparing OpenAlex to Scopus across a number of dimensions. The analysis concludes that OpenAlex is a superset of Scopus and can be a reliable alternative for some analyses, particularly at the country level. Despite this, issues of metadata accuracy and completeness show that additional research is needed to fully comprehend and address OpenAlex's limitations. Doing so will be necessary to confidently use OpenAlex across a wider set of analyses, including those that are not at all possible with more constrained databases.
• A magnetar giant flare in the nearby starburst galaxy M82. Mereghetti, Sandro; Rigoselli, Michela; Salvaterra, Ruben; Pacholski, Dominik Patryk; Rodi, James Craig; Gotz, Diego; Arrigoni, Edoardo; D’Avanzo, Paolo; Adami, Christophe; Bazzano, Angela; Bozzo, Enrico; Brivio, Riccardo; Campana, Sergio; Cappellaro, Enrico; Chenevez, Jerome; De Luise, Fiore; Ducci, Lorenzo; Esposito, Paolo; Ferrigno, Carlo; Ferro, Matteo; Israel, Gian Luca; Le Floc’h, Emeric; Martin-Carrillo, Antonio; Onori, Francesca; Rea, Nanda; Reguitti, Andrea; Savchenko, Volodymyr; Souami, Damya; Tartaglia, Leonardo; Thuillot, William; Tiengo, Andrea; Tomasella, Lina; Topinka, Martin; Turpin, Damien; Ubertini, Pietro (2024). 629(8010) 58–61.

  Magnetar giant flares are rare explosive events releasing up to 1047 erg in gamma rays in less than 1 second from young neutron stars with magnetic fields up to 1015−16 G (refs. 1,2). Only three such flares have been seen from magnetars in our Galaxy3,4 and in the Large Magellanic Cloud5 in roughly 50 years. This small sample can be enlarged by the discovery of extragalactic events, as for a fraction of a second giant flares reach luminosities above 1046 erg s−1, which makes them visible up to a few tens of megaparsecs. However, at these distances they are difficult to distinguish from short gamma-ray bursts (GRBs); much more distant and energetic (1050−53 erg) events, originating in compact binary mergers6. A few short GRBs have been proposed7–11, with different amounts of confidence, as candidate giant magnetar flares in nearby galaxies. Here we report observations of GRB 231115A, positionally coincident with the starburst galaxy M82 (ref. 12). Its spectral properties, along with the length of the burst, the limits on its X-ray and optical counterparts obtained within a few hours, and the lack of a gravitational wave signal, unambiguously qualify this burst as a giant flare from a magnetar in M82.
• Grundlagen des maschinellen Lernens erklärt. Drehling, Wilhelm (2024).

  Ein Beispiel mit linearer Regression veranschaulicht die Prinzipien maschinellen Lernens. Sie brauchen dafür nur etwas Python und die Bibliothek Scikit-Learn.
• Invariant Grassmannians and a K3 surface with an action of order 192*2. Muller, Stevell (2024).
• Künstliche Intelligenz: Die Mathematik hinter neuronalen Netzen. Trinkwalder, Andrea (2024).

  Die Architektur von neuronalen Netzen wird immer komplexer, doch an ihren einfachen elementaren Mechanismen hat sich über die Jahre nichts geändert.
• KI entlarvt KI-Lügen: Projekt noFake trainiert Datenmodelle für Faktenchecks. Grävemeyer, Arne (2024). (10/2024) 128–131.

  Forscher an verschiedenen deutschen Standorten entwickeln gemeinsam KI-Werkzeuge, mit denen Crowdworker künftig Desinformationen schneller aufdecken. Auf der Homepage Faktenforum des Recherchenetzwerks Correctiv sollen in wenigen Wochen die ersten Assistenztools zur Verfügung stehen.
• StructLM: Towards Building Generalist Models for Structured Knowledge Grounding. Zhuang, Alex; Zhang, Ge; Zheng, Tianyu; Du, Xinrun; Wang, Junjie; Ren, Weiming; Huang, Stephen W.; Fu, Jie; Yue, Xiang; Chen, Wenhu (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).
• Introduction to Philosophy Notes. Siddique, Muhammad Moghira (2024).
• Understanding Google’s Perspective on 503 Status Codes. w3era (w3era, ed.) (2024).
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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).
• 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.
• 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.
• 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.
• 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.
• “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.
• 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.
• 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.
• 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).
• 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.
• 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.
• Critique of Ontological Militarism. Furtado, Henrique Tavares (2023). 17(3) olad012.

  War metaphors permeate the world we live in. From wildlife documentaries (natural war) to the curbing of academic freedom (war on woke), it seems that anything can be described in an essential likeness to warfare. Drawing on Lacanian psychoanalysis, this paper investigates the ubiquity of war metaphors in critiques of violence within Critical Security Studies and International Political Sociology. The analysis focuses on three concepts recently advanced as alternatives to the shortcomings of securitization theory and its reliance on a mythological idea of liberal peace: fighting, martial politics, and struggles. The paper investigates how each of these concepts is built in relation to war metaphors and explains this as revealing of an underlying symptom, a form of ontological militarism, which these alternatives to securitization cannot properly work through. It advances the concept of ontological militarism as the attribution of heuristic privilege to war turning it into the cypher of all social relations by investment in an assumed indistinction between war/peace and war/struggle. The paper invites critiques of liberal civility in International Relations (IR) to take seriously the point whereby the resort to war metaphors becomes the symptom of an inability to escape the symbolic horizons of a violent militaristic order.
• Emotions in War: The Emotionality-Rationality Equation in Clausewitz’s Theory of War. Emeklier, Bilgehan; Emeklier, Nihal (2022). 6(1)

  Clausewitz introduced an inclusive equation between emotionality and rationality with regards to the debates on the causality and practice of war in modern strategic thought. In Clausewitz’s theory of war, war is a process of governmentality composed by three types of actors: states directing war (leaders and decision-makers), armies executing war (combatants), and people supporting war financially and morally (societies). In this trinitarian scheme, war is a continuous, mutually constitutive interactional process with emotional and rational components both between conflicting parties, and within each side. The aim of this article is to discuss how Clausewitz integrated the emotion-reason equation in his theory of war, to explain through an actor-level analysis how emotions affect, change, and transform war, and lastly to discuss the mutual constitutive relationship between wars and emotions in the contemporary global durable disorder.
• 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.
• Filosof’ia de la guerra en la Antigüedad Tard’ia. La tradición neoplatónica. Castillo, Luis Roger; others (2022). 11(22) 16–39.
• 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.
• 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?
• SOEP-Core – 2021: Jugend (16-17 Jahre), Stichproben A-L3, M1-M2 + N-Q.. Technical Report (1205), infas (2022).
• 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.
• 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.
• 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.
• 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.
• 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.
• 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
• 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.
• H-Verse Group OF Companies-Tiles Company In Lahore. Random (2020).
• 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.
• 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).
• 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).
• 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.
• 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).
• 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. 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.
• 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. 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.
• 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.
• Geometry and Topology in Relativistic Cosmology. Luminet, Jean-Pierre (2007).

  General relativity does not allow one to specify the topology of space, leaving the possibility that space is multiply rather than simply connected. We review the main mathematical properties of multiply connected spaces, and the different tools to classify them and to analyse their properties. Following their mathematical classification, we describe the different possible muticonnected spaces which may be used to construct Friedmann-Lemaitre universe models. Observational tests concern the distribution of images of discrete cosmic objects or more global effects, mainly those concerning the Cosmic Microwave Background. According to the 2003-2006 WMAP data releases, various deviations from the flat infinite universe model predictions hint at a possible non-trivial topology for the shape of space. In particular, a finite universe with the topology of the Poincaré dodecahedral spherical space fits remarkably well the data and is a good candidate for explaining both the local curvature of space and the large angle anomalies in the temperature power spectrum. Such a model of a small universe, whose volume would represent only about 80% the volume of the observable universe, offers an observational signature in the form of a predictable topological lens effect on one hand, and rises new issues on the physics of the early universe on the other hand.
• Psi u trgovištu Aralica, Ivan (2004). Večernji list, Zagreb.
• Puž Aralica, Ivan (2004). Naklada Pavičić, Zagreb.
• Buy Verified Cash App Account - 100% Safe, Access from USA. Buy verified cash app account at the best IT service provider smmsellshop at cost effective price, we provide SSN (1994).
• 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).
• Buy Verified Cash App Account. Account, Buy Verified Cash App (angel, ed.)