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.

• In light of the rapid processes of digitalization, teachers must possess the competence to develop adolescents’ media literacy. Against this backdrop, a theory- and practice-based pedagogical concept was developed to enhance pre-service teachers’ media education competence. This pedagogical concept is grounded in a competence-standard model for media pedagogy in initial teacher education and employs an action- and development-oriented pedagogical approach. It includes competence-oriented tasks, a structured teaching and learning process, and learning and reflection portfolios. The pedagogical concept was implemented as a semester-long course at a German University. In an exploratory case study involving a convenience sample of 71 pre-service teachers, participants’ media education lesson designs were analyzed using qualitative content analysis. Results indicate that when participants described learning prerequisites and objectives in their lesson planning, they primarily focused on adolescents’ knowledge and experiences, as well as their intellectual and socio-moral development and needs related to media use. Most participants elaborated on learning and teaching activities centered on design, followed by assessment, problem-solving, and decision-making. Conclusions and implications for further research and practice underscore the importance of theory- and evidence-based approaches to enhance pre-service teachers’ media education competence, which is essential for progressive initial teacher education.
• GenAI-powered Organizational Transformation: Rethinking Change Management to Unlock new Potentials fostering Augmentation and Automation. Straub, Lisa; Pietruschka, Jana; Zeiß, Christian; Tomitza, Christoph; Ibrahimli, Ulvi; Müller, Andrea; Winkelmann, Axel (2025).

  Effective change management is essential in a rapidly evolving world, especially given transformation initiatives' historically high failure rate. Harnessing technological advances offers promising ways forward, with Generative Artificial Intelligence (GenAI) being the latest hotly debated trend. The ability to generate content without human intervention raises the prospect of process improvement and increases augmentation and automation within organizations. Using a DSR methodology and insights from literature, expert interviews, and a quantitative survey, this paper develops a framework for integrating GenAI into the change management process. The findings reveal GenAI's potential to support constant communication during change initiatives and highlight general automation potential in monitoring and measuring progress. It should be noted that this does not necessarily require the use of GenAI. Experts concur that human involvement is essential for validating results and managing sensitive situations. Consequently, they consider augmentation a more expedient approach and believe full automation is currently unfeasible.
• Resting Ca2+ fluxes protect cells from fast mitochondrial fragmentation, cell stress responses, and immediate transcriptional reprogramming. Fecher, Caroline; Sodmann, Annemarie; Schlott, Felicitas; Jaepel, Juliane; Schmitt, Franziska; Lengfelder, Isabella; Bischler, Thorsten; Nieswandt, Bernhard; Winklhofer, Konstanze F.; Blum, Robert (2025). 82(1) 238.

  Homeostatic calcium ion (Ca2+) fluxes between the endoplasmic reticulum, cytosol, and extracellular space occur not only in response to cell stimulation but also in unstimulated cells. Using murine astrocytes as a model, we asked whether there is a signaling function of these resting Ca2+ fluxes. The data showed that endoplasmic reticulum (ER) Catexttwosuperior⁺ depletion, induced by sarcoplasmic/endoplasmic reticulum Catexttwosuperior⁺-ATPase (SERCA) inhibition, resulted to prolonged Catexttwosuperior⁺ influx and mitochondrial fragmentation within 10 to 30 min. This mitochondrial fragmentation could be prevented in Ca2+-free medium or by inhibiting store-operated Ca2+ entry (SOCE). Similarly, attenuation of STIM proteins, which are vital ER Ca2+ sensors, protected mitochondrial morphology. On the molecular level, ER Ca2+ depletion, achieved either by removing extracellular Ca2+ or through acute SERCA inhibition, led to changes in gene expression of about 13% and 41% of the transcriptome within an hour, respectively. Transcriptome changes were associated with universal biological processes such as transcription, differentiation, or cell stress. Strong increase in expression was observed for the transcription factor ATF4, which is under control of the kinase PERK (EIF2AK3), a key protein involved in ER stress. Corroborating these findings, PERK was rapidly phosphorylated in Ca2+-free medium or after acute pharmacological inhibition of SOCE. In summary, resting, homeostatic Ca2+ fluxes prevent immediate-early cell stress and transcriptional reprogramming.
• POLYLOGARITHM VALUES AT A GOLDEN RATIO-BASED ARGUMENT. Harr, Tristen (2025, June).

  The research paper by Tristen Harr introduces and analyzes a novel complex constant, ΛG1, which is derived from inverse powers of the golden ratio, ϕ. The author defines the constant as ΛG1=T+iJ, where T=1/(2ϕ) and J=1/(2ϕ2), and proves it is an algebraic number with a magnitude less than one. This property validates its use as an argument in the Polylogarithm function, Lis(z). Based on high-precision numerical evaluations for the Dilogarithm (s=2) and Trilogarithm (s=3) cases, the paper conjectures that the resulting values, Lis(ΛG1), are transcendental for all integers s≥2 and do not exist within the field extension Q(π,ln(2),ϕ). This investigation is partly motivated by potential applications in the study of quasicrystals, where the golden ratio plays a foundational role.
• The Condition Number as a Scale-Invariant Proxy for Information Encoding in Neural Units. Ludwig, Oswaldo (2025).
• One decade of institutional scientific output and impact in West Africa - The West African Science Service Centre on Climate Change and Adapted Land Use (WASCAL). Schönbrodt-Stitt, Sarah; Kleemann, Janina; Fürst, Christine; Vlek, Paul; Koné, Daouda; Ogunjobi, Kehinde; Thiel, Michael (2025). 56 13.

  In the frame of climate change, Africa belongs to the regions with low capacities to cope with the negative effects. Local capacities in education and research need to be strengthened to increase the regions’ social-ecological resilience and provide long-term environmental security for people. Foreign investors in this endeavour are often interested in the output and impact of their investments in order to identify the potentials for further improvements and commitments. In our study, we have focused on an international institution that is actively contributing to improve climate change research in West Africa, called WASCAL (West African Science Service Centre on Climate Change and Adapted Land Use). Taking the 10-year anniversary of WASCAL as the occasion for an assessment of the scientific output, a comprehensive systematic literature review for the time span 2012–2022 of peer-reviewed scientific publications related to WASCAL was conducted. In total, 315 high-quality papers published in 149 different peer-reviewed journals were identified. Globally, WASCAL is well connected, shown by joint publications from 58 different countries. Within West Africa, especially Burkina Faso (107 publications) and Ghana (86 publications) were represented with high levels of (co-)authorships. One of the main research areas of WASCAL is climate modelling which was reflected in the findings. Relatively underrepresented in the frame of WASCAL-related publications were studies from social sciences. In addition, more research should be conducted on the multifaceted topics of food security and urban planning. WASCAL could also contribute further to the emerging research field of tropical medicine and parasitology due to the threat to human health and food security resulting from environmental and climate change.
• Non-Hermitian topology of transport in the quantum Hall phases in graphene. Chaturvedi, Raghav; Könye, Viktor; Hankiewicz, Ewelina M.; van den Brink, Jeroen; Fulga, Ion Cosma (2025). 111(24) 245424.
• Transport Mode Choice for Disaggregated Mobility Demand Generation. Strobel, Leo; Pruckner, Marco (2025). 13 86848–86862.

  The OpenStreetMap Mobility Demand Generator (OMOD) is an open-source tool that creates realistic synthetic mobility demand for any region in Germany. The tool focuses on ease of use and fast prototyping, and requires only OpenStreetMap (OSM) data from the user. In this work, we introduce the aspect of traffic mode choice into OMOD. We utilize a two-stage multinomial logit model that works with precise origin-destination coordinates and exact departure times to determine each trip’s travel time and other level-of-service attributes based on network information acquired from OpenStreetMap and GTFS public transit schedules. We evaluate the performance of our model in two stages: first, directly on a separate test set of the household travel survey, and second, for a microsimulation of three different German cities. On the household travel survey, we reach accuracies between 64.3 % and 77.8 % with well-fitted calibration curves. Achieving high performance in the microsimulation is more difficult due to the existence of downstream errors. Nonetheless, we achieve close fits for all modes with the exception of the car passenger mode.
• Failing to See the Obvious? How Financial Crypto Literacy Shapes the Future of FinTech Platforms in the Disruptive Blockchain Era. Zeiß, Christian (2025).
• The role of the University is to resist AI. McQuillan, Dan (2025, June 22).

  This is the text of a seminar given at the Goldsmiths Centre for Philosophy and Critical Thought on June 11th 2025. This talk is titled 'The role of the University is to resist AI', and takes as its text Ivan Illich's 'Tools for Conviviality'.
• Cosmology using numerical relativity. Aurrekoetxea, Josu C.; Clough, Katy; Lim, Eugene A. (2025). 28(1) 5-.

  This review is an up-to-date account of the use of numerical relativity to study dynamical, strong-gravity environments in a cosmological context. First, we provide a gentle introduction into the use of numerical relativity in solving cosmological spacetimes, aimed at both cosmologists and numerical relativists. Second, we survey the present body of work, focusing on general relativistic simulations, organised according to the cosmological history—from cosmogenesis, through the early hot Big Bang, to the late-time evolution of the universe. We discuss the present state-of-the-art, and suggest directions in which future work can be fruitfully pursued.
• Citizen science illuminates the nature of city lights. Nachtlichter, Team (2025). 2 496–505.

  The image of Earth at night from space, with its constellations of cities, has become iconic. However, our understanding of the source and scale of artificial light emissions is still in the dark, hampering urban environmental protection efforts. In 2021, our citizen scientists used the Nachtlichter app to count and classify 234,044 light sources across a 22-km2 area, primarily in Germany. We show that such a dataset can be used to translate space-based radiance observations to the more understandable unit of installed lights per km2 on the ground. We find that in German city centers, more total light sources are used for advertising and aesthetic purposes than for street lighting. Furthermore, we estimate that 78thinspacetextpmthinspace3thinspacemillion individual light sources remain illuminated at midnight across Germany, highlighting great potential for mitigation. These findings not only offer direct knowledge for artificial light research but also serve as a practical resource for policymakers to mitigate urban light pollution.
• An Optimized Energy-Efficient Hello Routing Protocol for Underwater Wireless Sensor Network. S, Vinayprasad M; N, Jayaram M in Communications in Computer and Information Science, M. Helfert, D. Ferguson, V. M. Muñoz, J. S. Cardoso (eds.) (2025). (Vol. 17) 57–72.

  Underwater wireless sensor network (UWSN) is a great technological advancement for numerous implementations, such as pollution monitoring tsunami offshore gas and oil reservoirs. Coherent routing with optimal energy use is necessary to send received data from the sensor to the sink hub. The distinct characteristics of the underwater circumstances make designing routing protocols problematic. Therefore, a novel Dove-based Hello Routing Protocol (DbHRP) was proposed to increase the data broadcasting rate within low energy. The nodes are initially initialized, and their positions are estimated. Subsequently, the dove function finds the SP(SP) from source to target, and the status of the target node is analyzed for data packet transmission. The data transfer function is planned based on the destination node's initial request priority if the target node needs to receive more data from a different source hub. Finally, the UWSN communication parameters were measured and compared with prevailing models.
• Harnessing AI for Data Privacy through a Multidimensional Framework. Mahendra, Prateik P. Mahendra (ed.) (2025). (Vol. 15) 1–20.

  Traditional approaches have failed to keep up with privacy requirements as AI and ML systems increasingly interact with vast, sensitive data sets. Currently, most solutions treat privacy as strictly a technical problem or legal checkbox, but rarely both. The presented work this paper uses a multidimensional scheme that serves to reframe data privacy as a fundamental design principle through the integration of four key perspectives: technical structure, regulatory fit, organizational preparedness, and ethical responsibility. We assess such privacy preserving solutions, federated learning, secure multiparty computation, differential privacy, among others, against the real-world constraints such as scalability, latency and compliance. With cross-sector case study and comparative analysis we illustrate that hybrid context-aware deployments can bridge the theory-practice gap. Our contribution is more than just a toolkit: it is a systems-level implementation that allows businesses and organizations to operationalize privacy while embracing innovation. Such work is necessary for future empirical studies to provide a grounded approach to the development of AI systems that are high performing, yet privacy preserving.
• Ancestral sequence reconstruction of the Mic60 Mitofilin domain reveals residues supporting respiration in yeast. Benning, Friederike M. C.; Bell, Tristan A.; Nguyen, Tran H.; Syau, Della; Connell, Louise B.; Liao, Yi‐Ting; Keating, Matthew P.; Coughlin, Margaret; Nordstrom, Anja E. H.; Ericsson, Maria; daCosta, Corrie J. B.; Chao, Luke H. (2025). 34(7)
• SARM1 loss protects retinal ganglion cells in a mouse model of autosomal dominant optic atrophy. Ding, Chen; Ndiaye, Papa S.; Campbell, Sydney R.; Fry, Michelle Y.; Gong, Jincheng; Wienbar, Sophia R.; Gibbs, Whitney; Morquette, Philippe; Chao, Luke H.; Do, Michael Tri H.; Schwarz, Thomas L. (2025). 135(12)

  Autosomal dominant optic atrophy (ADOA), the most prevalent hereditary optic neuropathy, leads to retinal ganglion cell (RGC) degeneration and vision loss. ADOA is primarily caused by mutations in the optic atrophy type 1 (OPA1) gene, which encodes a conserved GTPase important for mitochondrial inner membrane dynamics. To date, the disease mechanism remains unclear, and no therapies are available. We generated a mouse model carrying the pathogenic Opa1R290Q/+ allele that recapitulated key features of human ADOA, including mitochondrial defects, age-related RGC loss, optic nerve degeneration, and reduced RGC functions. We identified sterile alpha and TIR motif containing 1 (SARM1), a neurodegeneration switch, as a key driver of RGC degeneration in these mice. Sarm1 KO nearly completely suppressed all the degeneration phenotypes without reversing mitochondrial fragmentation. Additionally, we show that a portion of SARM1 localized within the mitochondrial intermembrane space. These findings indicated that SARM1 was activated downstream of mitochondrial dysfunction in ADOA, highlighting it as a promising therapeutic target.
• Quo Vadis CKKS: Comparison of the Realization of Basic Mathematical Functions for the Homomorphic Cryptosystem CKKS using De Bello and Polynomial Approximations. Prantl, Thomas; Horn, Lukas; Engel, Simon; Bauer, André; Kounev, Samuel (2025). 93

  As data storage and processing increasingly shift to the cloud, the risk of data breaches also rises. One way to address this is using Homomorphic Encryption (HE), which allows for data processing while the data remains encrypted, unlike traditional methods. However, current HE libraries support only addition and multiplication, requiring users to implement other mathematical functions themselves. To this end, we developed and analyzed basic mathematical functions in a previous work. Since polynomial approximations are more common in HE, this paper expands on that by examining and comparing polynomial approximations of these functions with the previously implemented methods. Our findings indicate that while polynomial approximations offer the benefit of low multiplication depth, the previously implemented methods generally outperform them in most scenarios despite their higher computational cost.
• HP_Prime_MATH: Manual Schrausser, D. G. (2025). (1st ed.)

  Mathematical and statistical applications for HP Prime. Algorithms are presented in context with the corresponding scope of application. CAS programs (1), HP Prime User functions (2) and functions for HP Prime Applications (3) are listed in alphabetical order, a comparison to corresponding SCHRAUSSER-MAT functions is given. In addition to the source codes of the functions, raw data sets are provided for correlation- as well as resampling-methods.
• TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts. Krauß, Torsten; Dashtbani, Hamid; Dmitrienko, Alexandra (2025).
• Unveiling Complex Territorial Socio-Economic Dynamics: A Statistical Mechanics Approach. Massoli, Pierpaolo (2025).
• Protection Against Poisoning Attacks on Federated Learning-Based Spectrum Sensing \($\$\) \($ \lg $\)\\($ $\). Wasilewska, Malgorzata; Bogucka, Hanna (2025).
• HP_Prime_MATH: Manual Schrausser, D. G. (2025). (1st ed.)

  Mathematical and statistical applications for HP Prime. Algorithms are presented in context with the corresponding scope of application. CAS programs (1), HP Prime User functions (2) and functions for HP Prime Applications (3) are listed in alphabetical order, a comparison to corresponding SCHRAUSSER-MAT functions is given. In addition to the source codes of the functions, raw data sets are provided for correlation- as well as resampling-methods.
• Stem Cell–Derived, Fully Differentiated Islets for Type 1 Diabetes. Reichman, Trevor W.; Markmann, James F.; Odorico, Jon; Witkowski, Piotr; Fung, John J.; Wijkstrom, Martin; Kandeel, Fouad; de Koning, Eelco J.P.; Peters, Anne L.; Mathieu, Chantal; Kean, Leslie S.; Bruinsma, Bote G.; Wang, Chenkun; Mascia, Molly; Sanna, Bastiano; Marigowda, Gautham; Pagliuca, Felicia; Melton, Doug; Ricordi, Camillo; Rickels, Michael R. (2025).

  Zimislecel is an allogeneic stem cell–derived islet-cell therapy. This phase 1–2 study supports the hypothesis that zimislecel can restore physiologic islet function and thus treat persons with type 1 diabetes.
• AllTracker: Efficient Dense Point Tracking at High Resolution. Harley, Adam W.; You, Yang; Sun, Xinglong; Zheng, Yang; Raghuraman, Nikhil; Gu, Yunqi; Liang, Sheldon; Chu, Wen-Hsuan; Dave, Achal; Tokmakov, Pavel; You, Suya; Ambrus, Rares; Fragkiadaki, Katerina; Guibas, Leonidas J. (2025).
• The First Early Evidence of the Use of Browser Fingerprinting for Online Tracking. Liu, Zengrui; Dani, Jimmy; Cao, Yinzhi; Wu, Shujiang; Saxena, Nitesh in WWW ’25 (2025). 4980–4995.

  While advertising has become commonplace in today's online interactions, there is a notable dearth of research investigating the extent to which browser fingerprinting is harnessed for user tracking and targeted advertising. Prior studies only measured whether fingerprinting-related scripts are being run on the websites but that in itself does not necessarily mean that fingerprinting is being used for the privacy-invasive purpose of online tracking because fingerprinting might be deployed for the defensive purposes of bot/fraud detection and user authentication. It is imperative to address the mounting concerns regarding the utilization of browser fingerprinting in the realm of online advertising.This paper introduces "FPTrace" (fingerprinting-based tracking assessment and comprehensive evaluation framework), a framework to assess fingerprinting-based user tracking by analyzing ad changes from browser fingerprinting adjustments. Using FPTrace, we emulate user interactions, capture ad bid data, and monitor HTTP traffic. Our large-scale study reveals strong evidence of browser fingerprinting for ad tracking and targeting, shown by bid value disparities and reduced HTTP records after fingerprinting changes. We also show fingerprinting can bypass GDPR/CCPA opt-outs, enabling privacy-invasive tracking.In conclusion, our research unveils the widespread employment of browser fingerprinting in online advertising, prompting critical considerations regarding user privacy and data security within the digital advertising landscape.
• Investigation of data for decision-support in forest-related natural resources management -with a focus on spatial data on European and national level Kleemann, Janina; Dobelmann, Svenja; Aksoy, Hasan; Bayraktar, Selim; Blagojević, Boško; Bončina, Amdrej; Brodrechtová, Yvonne; Bulut, Sinan; Cengiz, Enes; Corrado, Simone; Corticeiro, Sofia; Dhimitri, Jostina; Đorđević, Ilija; Eichhorn, Markus; Eriksson, Ola; Gast, Madina; Günlü, Alkan; Gruschwitz, Daniel; Halalisan, Aureliu; Hapa, Mihai; Hiltner, Ulrike; Kašpar, Jan; Kędziora, Wojciech; Koç, Mehtap; Koller, Markus; Küçüker, Derya Mumcu; Marković, Miljana; Máslo, Jan; Martini, Francesco; Mozgeris, Gintautas; Nurrochmat, Nugraha Akbar; Parry, Jacob; Pérez-Rodríguez, Fernando; Poljanec, Aleš; Popa, Bogdan; Sedmák, Robert; Sinani, Albina; Sivrikaya, Fatih; Štěrbová, Martina; Stupar, Vladimir; Synek, Michal; Talarczyk, Andrzej; Talpa, Nicolae; Tarčak, Sonja; Thiel, Michael; Tuček, Jan; Uçar, Zennure; Vacik, Harald; Valbuena, Ruben; Vinogradovs, Ivo (2025).

  Forests are a significant part of the surrounding landscape, and every management decision in the forest also affects the landscape, and vice versa. Management decisions in the surrounding landscape also affect the forests. Thus, a framework of integrated decision support systems (DSS) is needed to appropriately address all objectives of sustainable forest management in the landscape by linking all mutual relations between forests and the surrounding landscape. Such an integrated DSS framework will require the consideration of information and approaches from different rural and land-use activities and sectors. In this context, juxtaposition and integration of the knowledge from DSS (developed for farming, animal husbandry, forestry, ecosystem management, etc.) will be an excellent starting point for advancing toward an integrated system for sustainable assessing the provision of ecosystem service at landscape scale, including provision of resources for bio-based economic activities, protection and regulation, or cultural services. The main aim of this action is to establish a research network to facilitate the conceptualization and development of new methodological approaches in DSS, including important relationships between forests and landscapes. The emphasis is on screening, evaluating, and proposing existing and future tools to support holistic planning approaches to increase sustainable forest management, considering various ecosystem services and products addressing the associated risks and uncertainties.
• Adaptation and Mitigation Strategies of the Populations of Abuja and Ouagadougou in West Africa to the Various Impacts of Extreme Climate Events in Urban Areas. Gadiaga, Aliou; Okhimamhe, Appollonia Aimiosino; Thiel, Michael; Neya, Oble (2025). 13(7) 26.

  Urban settings in West Africa are increasingly experiencing extreme weather events, such as heat waves, floods, and windstorms. Climate phenomena exacerbated by global climate change are not unique to this region but reflect a broader trend of worldwide environmental changes. However, how local communities in tropical cities in the global south adapt to these extreme events is not fully understood. Understanding local adaptation strategies is crucial in enhancing our ability to develop context-specific policies that address climate vulnerabilities. This study aimed to analyse the adaptation and mitigation strategies employed by the urban residents of Abuja and Ouagadougou in response to recurrent floods, heat waves, and windstorms. To investigate adaptation and mitigation strategies for climate change in urban areas, this study collected quantitative data from a sample of 840 households in Abuja and 840 households in Ouagadougou. The results revealed that the participants of each city used different strategies to adapt to and mitigate heat waves, floods, and windstorms. However, the level of adoption of these measures differed among the respondents. The findings revealed a low level of adoption of climate change mitigation measures. Context-specific policies must prioritise strengthening local adaptation strategies, addressing socioeconomic disparities, and fostering urban design solutions tailored to each city’s unique environmental and infrastructural challenges.
• Determination of Jupiter’s primordial physical state. Batygin, Konstantin; Adams, Fred C. (2025). 9(6) 835–844.

  The formation and early evolution of Jupiter played a pivotal role in sculpting the large-scale architecture of the Solar System, intertwining the narrative of Jovian early years with the broader story of the Solar System’s origins. The details and chronology of Jupiter’s formation, however, remain elusive, primarily due to the inherent uncertainties of accretionary models, highlighting the need for independent constraints. Here we show that, by analysing the dynamics of Jupiter’s satellites concurrently with its angular-momentum budget, we can infer Jupiter’s radius and interior state at the time of the protosolar nebula’s dissipation. In particular, our calculations reveal that Jupiter was 2 to 2.5 times as large as it is today, 3.8 Myr after the formation of the first solids in the Solar System. Our model further indicates that young Jupiter possessed a magnetic field of B♃† ≈ 21 mT (a factor of ~ 50 higher than its present-day value) and was accreting material through a circum-Jovian disk at a rate of \($$\)\dotM=1.2\($$\)–2.4 M♃ Myr−1. Our findings are fully consistent with the core-accretion theory of giant-planet formation and provide an evolutionary snapshot that pins down properties of the Jovian system at the end of the protosolar nebula’s lifetime.
• Cataracts: A Review. Chen, Stephanie P.; Woreta, Fasika; Chang, David F. (2025). 333(23) 2093.

  Importance Age-related cataract, defined as progressive opacification or clouding of the eye’s natural lens, is a leading cause of visual disability and blindness. Cataract surgery is one of the most commonly performed procedures in high-income countries. More than 3.5 million cataract operations are performed annually in the US. Observations Older age is the primary risk factor for cataracts, with approximately two-thirds of the population older than 80 years affected. As the population ages, the number of people with cataracts in the US is expected to increase to 50 million by 2050. Additional risk factors for cataracts include a hereditary or genetic predisposition, certain medications (corticosteroids), ocular trauma, significant UV exposure or radiation therapy, and certain medical conditions such as uncontrolled diabetes, retinitis pigmentosa, Down syndrome, and congenital rubella. Painless, progressive blurring of vision and visual glare are common symptoms of cataracts. Cataracts are diagnosed during an eye examination by an ophthalmologist or optometrist. Surgery to remove the cataract and implant a permanent intraocular lens (IOL) is indicated if visual impairment impedes activities of daily living and is associated with lower rates of falls (>30%) and dementia (20%-30%). Most cataract operations are performed with topical anesthesia. Therefore, patients do not require preoperative general medical testing such as bloodwork or electrocardiogram, and do not need to discontinue anticoagulants for cataract surgery. Systemic α1-adrenergic antagonists for symptomatic benign prostatic hyperplasia, such as tamsulosin, increase the risk of surgical complications and some ophthalmologists temporarily discontinue the drug preoperatively. Intraocular antibiotics, such as moxifloxacin or cefuroxime, delivered intraoperatively have reduced the rates of sight-threatening postsurgical endophthalmitis from 0.07% to 0.02%. In addition to reversing and preventing progressive vision loss, cataract surgery can reduce dependence on eyeglasses. These optional refractive benefits are achieved with advanced technology IOL designs, such as multifocal IOLs. However, multifocal and other advanced technology refractive IOLs are associated with increased costs that are not covered by medical insurance. Conclusions and Relevance Cataracts are common among older adults and may cause visual disability and blindness without treatment. Cataract surgery reverses and prevents progressive vision loss, and advanced technology lens implants facilitate reduced dependence on eyeglasses.
• Using pharmacogenomics to personalise drug therapy: which drugs, when and how. Stocker, Sophie L; Polasek, Thomas M (2025). 48(3) 82–86.
• CONSORT 2025 Statement: Updated Guideline for Reporting Randomized Trials. Hopewell, Sally; Chan, An-Wen; Collins, Gary S.; Hróbjartsson, Asbjørn; Moher, David; Schulz, Kenneth F.; Tunn, Ruth; Aggarwal, Rakesh; Berkwits, Michael; Berlin, Jesse A.; Bhandari, Nita; Butcher, Nancy J.; Campbell, Marion K.; Chidebe, Runcie C. W.; Elbourne, Diana; Farmer, Andrew; Fergusson, Dean A.; Golub, Robert M.; Goodman, Steven N.; Hoffmann, Tammy C.; Ioannidis, John P. A.; Kahan, Brennan C.; Knowles, Rachel L.; Lamb, Sarah E.; Lewis, Steff; Loder, Elizabeth; Offringa, Martin; Ravaud, Philippe; Richards, Dawn P.; Rockhold, Frank W.; Schriger, David L.; Siegfried, Nandi L.; Staniszewska, Sophie; Taylor, Rod S.; Thabane, Lehana; Torgerson, David; Vohra, Sunita; White, Ian R.; Boutron, Isabelle (2025). 333(22) 1998.
• The changing spectrum of cardiovascular diseases. Conrad, Nathalie; Rahimi, Kazem; McMurray, John J V; Casadei, Barbara (2025).
• New Benzodiazepine Tapering Guide—Slow and Patient Centered. Brunner, Emily A.; Boyle, Maureen P.; Maust, Donovan T. (2025).
• TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts. Krauß, Torsten; Dashtbani, Hamid; Dmitrienko, Alexandra (2025).
• Can We Trust Machines? A Critical Look at Some Machine Translation Evaluation Metrics. Zayyanu, Muhammad; Abbas, Zaki Nazir Ibrahim L. B. S. Papadima-Sophocleous (ed.) (2025). 44–49.

  The current paper describes a first experiment in the use of TED talks and open tagging exercises to train higher-level comprehension skills, and of automatic logging of the student’s actions to investigate the student choices while performing analytical tasks. The experiment took advantage of an interactive learning platform – LearnWeb – that integrates TED talk videos and transcripts and enriches them with tagging features and a data logging system. The data collected offered an answer to the following questions: Which of the three tasks was perceived by the students as more difficult? How was each task faced by the students? How did the logs contribute to an understanding of the students’ approaches to the tasks? The experiment also suggested ideas for further development of LearnWeb’s log features.
• Rapidly increasing chance of record UK summer temperatures. Kay, Gillian; Dunstone, Nick; Smith, Doug M.; Brown, Simon J.; Kent, Chris; Lockwood, Julia F.; Scaife, Adam A. (2025). n/a(n/a)

  Abstract The UK recorded its first exceedance of 40°C in July 2022. To assess the current chance of recurrence, we use a large climate model ensemble approach and find the 2023 return period to be 1-in-24 years (1/20–1/29 years confidence interval). However, the likelihood of 40°C has been accelerating and we estimate a 50–50 chance of another exceedance in the next 12 years, 4 years earlier than in a static 2023 climate. Far higher temperatures – over 45°C – and more sustained heatwaves may be possible today. Improved understanding of baseline exposure to temperature extremes could inform strategic heatwave preparation.
• VIPNANO: Monitoring of Virtual Private Cloud Networks for Automated Anomaly Detection. Sichermann, Marleen; Dietz, Katharina; Kögel, Jochen; Meier, Sebastian; Geißler, Stefan; Hoßfeld, Tobias (2025).
• Slow magnetic quantum oscillations in the c-axis magnetoresistance of UTe\($_\mathbf2$\). Husstedt, Freya; Kimata, Motoi; Thadathil, Sajal Naduvile; Schwarze, Beat Valentin; König, Markus; Lapertot, Gerard; Brison, Jean-Pascal; Knebel, Georg; Aoki, Dai; Wosnitza, J.; Helm, Toni (2025). 111(23) 235131.
• Orthogonality point and intersublattice exchange inDy\($_\mathbf2$\)Fe\($_\mathbf17$\) determined in strong magnetic fields. Skourski, Y.; Kuz’min, M. D.; Skokov, K. P.; Shayanfar, N.; Andreev, A. V.; Zherlitsyn, S.; Yasin, S.; Zvyagina, L.; Drachenko, O.; Portugall, O.; Wosnitza, J. (2025). 9(6) 064404.
• Click beetles (Elateridae) identify conservation units in Oriental and European beech forests. Mamadashvili, Giorgi; Jarzabek-Müller, Andrea; Akinci, Hazan Alkan; Brin, Antoine; Bässler, Claus; Chumak, Vasyl; Chumak, Maksym; Diedus, Valeriia; Drössler, Lars; Eslamdoust, Jamshid; Georgiev, Kostadin B.; Ghrejyan, Tigran; Gossner, Martin M.; Hleb, Ruslan; Rafieijahed, Razieh; Kalashian, Mark; Kamburov, Ivan; Karagyan, Gayane; Kevlishvili, Joni; Khutsishvili, Zviad; Lachat, Thibault; Mazmanyan, Meri; Petrov, Peter I.; Roth, Nicolas; Tabunidze, Levan; Varyvoda, Mariia; Müller, Jörg (2025). 29(3) 52.

  Beech trees form major parts of lowland temperate forests in the Western Palearctic. To protect biodiversity, many beech forests have been designated as World Heritage Sites or established as networks of beech forest reserves. However, the insect communities within these protected forests have not been well explored. In this study, elaterids (Elateridae, Coleoptera) in 26 beech forests, from France in the west to Iran in the east, were sample to identify conservation clusters and hotspots of biodiversity. Sampling was mostly carried out using window traps and all specimens were identified to the species level. A total of 118 species were identified including one previously unreported species. Community composition analyses that focused on rare species identified five clusters comprising distinct communities: (i) the Hyrcanian Forest in Iran, (ii) the Lesser Caucasus in Türkiye, Georgia and Armenia, (iii) the Greater Caucasus in Georgia, (iv) the Pyrenees and (v) a cluster made up of forests from Central Europe, the Balkan region and the Carpathians. After controlling for sampling effort (individuals), the highest richness was found in the Caucasus region. The proportion of endemics was highest in the Oriental beech forests of the Caucasus and in Hyrcanian forests. These findings highlight the unique biodiversity of beech forests and support calls for intensified conservation actions in beech forests, particularly in the Caucasus and Hyrcanian regions, which should be prioritized for conservation efforts, due to their unique fauna.
• Rotational magnetoelastic interactions in the Dzyaloshinskii-Moriya magnet Ba\($_\mathbf2$\)CuGe\($_\mathbf2$\)O\($_\mathbf7$\). Sourd, J.; Kotte, T.; Wild, P.; Mühlbauer, S.; Wosnitza, J.; Zherlitsyn, S. (2025). 111(22) 224411.
• The effect of antibiotic therapy on clinical outcome in patients hospitalized with moderate COVID-19 disease: a prospective multi-center cohort study. Friedrichs, Anette; Wenz, Roman; Pape, Daniel; Appel, Katharina S.; Bahmer, Thomas; Becker, Karsten; Bercker, Sven; Blaschke, Sabine; Braunsteiner, Josephine; Butzmann, Jana; Dahl, Egdar; Erber, Johanna; Fricke, Lisa; Geisler, Ramsia; Göpel, Siri; Güldner, Andreas; Hagen, Marina; Hamprecht, Axel; Hansch, Stefan; Heuschmann, Peter U.; Hopff, Sina; Jensen, Björn-Erik Ole; Käding, Nadja; Koepsell, Julia; Koll, Carolin E. M.; Krawczyk, Marcin; Lücke, Thomas; Meybohm, Patrick; Milovanovic, Milena; Mitrov, Lazar; Nürnberger, Carolin; Römmele, Christoph; Scherer, Margarete; Schmidbauer, Lena; Stecher, Melanie; Tepasse, Phil-Robin; Teufel, Andreas; Vehreschild, Jörg Janne; Winter, Christof; Witzke, Oliver; Wyen, Christoph; Hanses, Frank; Caliebe, Amke (2025).
• A case-individual data-driven optimization approach for surgery planning. Rottmann, Janine; Günder, Kai; Pibernik, Richard (2025).

  Operating rooms generate more than 40% of a hospital's total revenue, making effective surgery planning a highly relevant problem for many hospitals. Surgery planning is a challenging task that requires a decision maker to solve multiple interrelated (sub-)problems under uncertainty. An important source of uncertainty are surgery durations---their realizations can vary substantially, depending on a number of factors related to the type of surgery, as well as patients' and surgeons' characteristics. This paper proposes a data-driven approach to solve a complex and practically relevant surgery planning problem using case-individual information contained in electronic health records of past surgeries. Our approach combines machine learning models (Quantile Regression Forests) for estimating durations of individual surgeries and data-driven optimization techniques to assign a set of planned surgeries to operating rooms, and to simultaneously determine their sequence and starting times for a given workday. Numerical analyses based on a real-world dataset of a large university hospital demonstrate the value of our approach. Our approach leads to a cost improvement of 35% compared to a naive approach that reflects the current practice of our case hospital, and we can show that the largest part (approximately 23\% points) of this improvement can be attributed to the sequencing and room assignment extensions in our model. We are able to quantify the value of case-individual information, identify the most relevant co-variates (``features''), and demonstrate how better uncertainty estimations affect the individual planning tasks, i.e., room assignment, sequencing, and appointment scheduling.
• The impact of tree mortality and post‐disturbance management on insect diversity in temperate forests: Insights from a replicated experiment. Rothacher, Julia; Seidl, Rupert; Thom, Dominik; Kortmann, Mareike; Chao, Anne; Chiu, Chun‐Ho; Heibl, Christoph; Hothorn, Torsten; Mitesser, Oliver; Mori, Akira S.; Morinière, Jérôme; Pierick, Kerstin; Wild, Clara; Wild, Nina; Müller, Jörg (2025).
• Elastic softening in synthetic diamonds. Yanagisawa, Tatsuya; Hibino, Ruo; Hidaka, Hiroyuki; Amitsuka, Hiroshi; Tashima, Toshiyuki; Akatsu, Mitsuhiro; Nemoto, Yuichi; Zherlitsyn, Sergei; Wosnitza, Joachim (2025). 94(7) 073602.

  This study reveals a previously unreported phenomenon: elastic softening in synthetic diamonds at temperatures below 1 K. We present ultrasonic measurements on single-crystalline, non-irradiated synthetic diamonds — specifically, type-IIa (colorless) and type-Ib (yellow) samples grown by high-pressure high-temperature (HPHT) synthesis, as well as type-IIa diamonds grown by chemical vapor deposition (CVD). A pronounced, divergent decrease in the elastic stiffness constant C44 was observed in all samples down to 20 mK. We attribute this softening to electric quadrupolar degrees of freedom with an irreducible representation T2 in the diamonds. However, the microscopic origin of this effect remains unclear. Drawing an analogy to behavior observed in silicon, we suggest the presence of an as-yet-unidentified, defect-derived quantum ground state with T1 or T2 symmetry, present at ppb-level concentrations in all three diamonds studied.
• Towards Detecting Traffic Changes in Real-World Heterogeneous Multi-Cloud Environments. Sichermann, Marleen; Dietz, Katharina; Serejo Kunz, Leticia; Kögel, Jochen; Geißler, Stefan; Hoßfeld, Tobias (2025).
• Towards a Deployment-Aware Machine Learning Lifecycle. Zall, Manuel; Thiesse, Frédéric (2025).

  Artificial intelligence (AI) and machine learning (ML) are transforming industries by enabling automation, optimization, and co-creation of business value. However, the deployment of ML models into production ecosystems and enterprise-wide information systems remains a significant challenge, partly due to the lack of standardized frameworks addressing the full ML lifecycle. While existing lifecycle models focus heavily on pre-deployment phases like data preparation and model training, critical post-deployment tasks such as monitoring, maintenance, and governance are often overlooked. To address this gap, we conduct a systematic mapping study to analyze existing ML lifecycle frameworks, identifying their limitations in post-deployment coverage. Building on these findings, we propose a research design to create a deployment-aware ML lifecycle, integrating empirical insights from multiple case studies across industries. This comprehensive framework aims to support practitioners in managing the complexities of real-world ML deployments and ensuring the sustainability of ML systems within dynamic organizational contexts.
• Sibai: A Few-Shot Meta-Classifier for Poisoning Detection in Federated Learning. Götz, Melanie; Krauß, Torsten; Dmitrienko, Alexandra (2025).
• Boundedness in general type MMP and fivefold effective termination. Han, Jingjun; Liu, Jihao; Qi, Lu; Zhuang, Ziquan (2025).
• Spiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding. Windhager, Daniel; Ratschbacher, Lothar; Moser, Bernhard A.; Lunglmayr, Michael (2025).
• Gromov-Witten invariants of log Calabi-Yau 3-folds are holomorphic lagrangian correspondences. Parker, Brett (2025).
• Experience with the nutritional state of their symbiont determines intranest resource distribution in leaf-cutting ants. Römer, Daniela; Röll, Hannah; Roces, Flavio (2025). 226 123212.

  Leaf-cutting ants live in a symbiosis with a mutualistic fungus that depends on them for resource provisioning. It is known that worker ants respond to the resource demands of their cultivar by preferentially delivering leaf fragments to undernourished fungus gardens. However, how worker ants locate them within the nest and how much their prior experience with the fungus’s nutritional state guides the intranest distribution of the collected fragments remain largely unexplored. To answer these questions, single leaf-carrying foragers, Acromyrmex ambiguus, from distinct experiential backgrounds were confronted in the laboratory with binary choices between small fungus gardens with different nutritional states. Two behavioural approaches were developed to quantify discrimination between fungi’s nutritional states by laden foragers, which focused on the olfactory orientation and deposition of the carried fragments, respectively. First, foragers' choices were scored using a Y-maze as they walked upwind towards volatiles arising from either a nourished or an undernourished fungus garden. Second, the choice between a nourished or an undernourished small fungus garden for the deposition of the carried fragment was recorded. Results indicated that worker ants that previously experienced undernourishment of their fungus significantly preferred the undernourished fungus for both olfactory orientation and leaf deposition. In contrast, worker ants that previously experienced a nourished fungus did not show preferences while walking towards fungus volatiles but preferred the nourished fungus garden for leaf deposition. These findings indicate that not only can leaf-cutting ant foragers differentiate the nutritional states of their fungus, but they also distribute the collected resources depending on the previously experienced fungus’s nutritional state. We argue that experienced foragers can resupply previously undernourished fungus gardens using olfactory information to locate them within the nest before unloading their fragments.
• femtoPro: Teaching and Training of Ultrafast Optics in Virtual Reality. Müller, S.; Müller, A.; Truman, S.; Buhl, T.; von Mammen, S.; Brixner, T. (2025). 1–4.
• femtoPro: Teaching and Training of Ultrafast Optics in Virtual Reality. Müller, S.; Müller, A.; Truman, S.; Buhl, T.; von Mammen, S.; Brixner, T. (2025). 1–4.
• Motivating the Crowd: Theoretical and Practical Insights into Participant Dynamics in Innovation Crowdsourcing. Straub, Lisa (2025).
• Motivating the Crowd: Theoretical and Practical Insights into Participant Dynamics in Innovation Crowdsourcing. Straub, Lisa (2025).
• No genetic differentiation among populations up to 300 km apart in three species of carrion beetles. Schauer, Bastian; Dutschke, Marvin; Heurich, Marco; von Hoermann, Christian; Schlüter, Jens; Lackner, Tomáš; Busse, Annika; Steiger, Sandra; Brandl, Roland; Müller, Jörg; Feldhaar, Heike (2025).
• Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry. Mayr, Michael; Chasparis, Georgios C.; Küng, Josef R. Wrembel, S. Chiusano, G. Kotsis, A. M. Tjoa, I. Khalil (eds.) (2024). 34–47.

  Central to the digital transformation of the process industry are Digital Twins (DTs), virtual replicas of physical manufacturing systems that combine sensor data with sophisticated data-based or physics-based models, or a combination thereof, to tackle a variety of industrial-relevant tasks like process monitoring, predictive control or decision support. The backbone of a DT, i.e. the concrete modelling methodologies and architectural frameworks supporting these models, are complex, diverse and evolve fast, necessitating a thorough understanding of the latest state-of-the-art methods and trends to stay on top of a highly competitive market. From a research perspective, despite the high research interest in reviewing various aspects of DTs, structured literature reports specifically focusing on unravelling the utilized learning paradigms (e.g. self-supervised learning) for DT-creation in the process industry are a novel contribution in this field. This study aims to address these gaps by (1) systematically analyzing the modelling methodologies (e.g. Convolutional Neural Network, Encoder-Decoder, Hidden Markov Model) and paradigms (e.g. data-driven, physics-based, hybrid) used for DT-creation; (2) assessing the utilized learning strategies (e.g. supervised, unsupervised, self-supervised); (3) analyzing the type of modelling task (e.g. regression, classification, clustering); and (4) identifying the challenges and research gaps, as well as, discuss potential resolutions provided.
• Design of an Explainable Input Control for Cross-Company Federated Learning. Düsing, Christoph; Röder, Marco; Thiesse, Frédéric; Cimiano, Philipp (2024).
• The faster, the better? The impact of short delivery times on product returns in online retailing. Masuch, Simon; Landwehr, Jan R.; Flath, Christoph M.; Thiesse, Frédéric (2024). 100(3) 475–485.
• LOS MEJORES CARROS EN COLOMBIA EN JUNIO de 2025. de 2025, LOS MEJORES CARROS EN COLOMBIA EN JUNIO (2024).
• Ptolemy’s table of chords: Implications considered and discussed. Schrausser, Dietmar (2024). 2024(05/27) 1–19.

  Ptolemy's table of chord lengths from the Almagest converted into decimal values and recalculated. Presentation and discussion of Ptolemy's method of calculation and sexagesimal values in comparison to calculations by trigonometric functions with regard to several editors. A significant relationship between the difference values of the two methods and angle num-ber was found: The higher the expansion angle, the greater the overestimation of chord lengths. Implications for early scientific astronomy in context with the development of mathematical methodology are discussed.
• Understanding the Radial Acceleration Relation of Dwarf Galaxies with Emergent Gravity. Sanghyeon, Han; Seong, Hwang Ho; Youngsub, Yoon (2024). 57(2) 249–259.

  We examine whether the radial acceleration relation (RAR) of dwarf galaxies can be explained by Verlinde's emergent gravity. This is the extension of Yoon et al. (2023), which examine the RAR of typical spiral galaxies, to less massive systems. To do this, we compile the line-of-sight velocity dispersion profiles of 30 dwarf galaxies in the Local Group from the literature. We then calculate the expected gravitational acceleration from the stellar component in the framework of the emergent gravity, and compare it with that from observations. The calculated acceleration with the emergent gravity under the assumption of a quasi-de Sitter universe agrees with the observed one within the uncertainty. Our results suggest that the emergent gravity can explain the kinematics of galaxies without introducing dark matter, even for less massive galaxies where dark matter is expected to dominate. This sharply contrasts with MOND, where a new interpolating function has to be introduced for dwarf galaxies to explain their kinematics without dark matter.
• How Meteor Showers Can Guide the Search for Long Period Comets. Hemmelgarn, Samantha; Moskovitz, Nicholas; Pilorz, Stuart; Jenniskens, Peter (2024).

  With orbital periods longer than 200 years, most long-period comets (LPCs) remain undiscovered until they are in-bound towards perihelion. The comets that pass close to Earth's orbit are Potentially Hazardous Objects (PHOs). Those with orbital periods up to ~4000 years tend to have passed close to Earth's orbit in a previous orbit and produced a meteoroid stream dense enough to be detected at Earth as a meteor shower. In anticipation of Rubin Observatory's Legacy Survey of Space and Time (LSST), we investigate how these meteor showers can guide dedicated searches for their parent comets. Assuming search parameters informed by LSST, we calculated where the 17 known parent bodies of long-period comet meteor showers would have been discovered based on a cloud of synthetic comets generated from the shower properties as measured at Earth. We find that the synthetic comets predict the on-sky location of the parent comets at the time of their discovery. The parent comet's location on average would have been 1.51 ±1.19° from a line fit through the synthetic comet cloud. The difference between the heliocentric distance of the parent and mean heliocentric distance of synthetic comets on the line was 2.09 ±1.89 au for comets with unknown absolute nuclear magnitudes and 0.96 ±0.80 au for comets with known absolute nuclear magnitudes. We applied this method to the σ-Hydrids, the proposed meteor shower of Comet Nishimura, and found that it successfully matched the pre-covery location of this comet 8 months prior to Nishimura's discovery.
• Integer partitions detect the primes. Craig, William; van Ittersum, Jan-Willem; Ono, Ken (2024). 121(39) e2409417121-.

  Integer partitions arise naturally in additive number theory, algebraic geometry, combinatorics, mathematical physics, and representation theory. We have identified a surprising role for partitions in multiplicative number theory. The prime numbers, the building blocks of multiplicative number theory, are the solutions of infinitely many special ?Diophantine equations? in well-studied partition functions. In other words, integer partitions detect the primes in infinitely many natural ways. We show that integer partitions, the fundamental building blocks in additive number theory, detect prime numbers in an unexpected way. Answering a question of Schneider, we show that the primes are the solutions to special equations in partition functions. For example, an integer n ≥ 2 is prime if and only if (3n3?13n2+18n?8)M1(n)+(12n2?120n+212)M2(n)?960M3(n)=0, where the Ma(n) are MacMahon?s well-studied partition functions. More generally, for MacMahonesque partition functions Ma?(n), we prove that there are infinitely many such prime detecting equations with constant coefficients, such as 80M(1,1,1)(n)?12M(2,0,1)(n)+12M(2,1,0)(n)+??12M(1,3)(n)?39M(3,1)(n)=0.
• 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.
• Research priorities for Autonomous Sensory Meridian Response: An interdisciplinary delphi study. Hostler, Thomas J.; Poerio, Giulia L.; Nader, Clau; Mank, Safiyya; Lin, Andrew C.; Villena-González, Mario; Asmr, Lemera; Asmr, Sharon Shares; Asmr, Yoloma; Asmr, Moongem; Plutzik, Nate; Ahuja, Nitin K.; Baker, Daniel H.; Bannister, Scott; Barratt, Emma L.; Bedwell, Stacey A.; Billot, Pierre-Edouard; Blakey, Emma; Cardini, Flavia; Cash, Daniella K.; Davis, Nick J.; Del Sette, Bleiz M.; Erfanian, Mercede; Flockton, Josephine R.; Fredborg, Beverley; Gillmeister, Helge; Gray, Emma; Haigh, Sarah M.; Heisick, Laura L.; McErlean, Agnieszka Janik; Breth Klausen, Helle; Kondo, Hirohito M.; Maas, Franzisca; Taylor Maurand, L.; McKay, Lawrie S.; Mozzoni, Marco; Navyte, Gabriele; Ortega-Balderas, Jessica A.; Palmer-Cooper, Emma C.; Richard, Craig A. H.; Roberts, Natalie; Romei, Vincenzo; Schoeller, Felix; Shaw, Steven D.; Simner, Julia; Smith, Stephen D.; Specker, Eva; Succi, Angelica; Valtakari, Niilo V.; Weinheimer, Jennie; Zehetgrube, Jasper (2024). 37(6–8) 499–528.
• “hubbel”: A Hybrid Letterbox That Stimulates Civic Participation Through Local Information Sharing in Neighbourhoods. Maas, Franzisca; Wolf, Sara; Weber, Michael; Fiedler, Marie Luisa; Zottmann, Nils; Lester, Marlene; Hohm, Jonathan; Sessler, Luise; Schmitt, Katja Patricia; Balser, Andreas; Heinisch, Melina Joline; Hofmann, Tabea Carolina; Maier, Simon; Ölschläger, Amanda; Popp, Alisa; Hurtienne, Jörn in DIS ’23 (2023). 1826–1841.

  Local civic participation is essential to democracy. Yet, citizens need to be informed about local matters to get involved. Becoming and staying informed about developments in one’s neighbourhood is difficult as local knowledge is scattered among online and offline sources, hard to find and understand. Using participatory Contextual Design we curated a novel form of participation with the interactive artifact "hubbel", which combines the digital and the analogue through a hybrid letterbox to crowd-source local knowledge. During our two-month in-the-wild evaluation, the hubbel was heavily used (260 postcards, 2067 visits). It stimulated democratic discourse and (offline) political participation by rendering tacit local issues visible. We propose ways to improve the hubbel’s design so that citizens can more easily share their expertise with others and to avoid harmful consequences like pseudo-participation. Finally, the hubbel demonstrates why analogue components are indispensable for civic participation tools. Supplements and open-source code: OSF-Link [https://osf.io/jcgue/].
• Motivations underlying self-infliction of pain during thinking for pleasure. Eder, Andreas B.; Maas, Franzisca; Schubmann, Alexander; Krishna, Anand; Erle, Thorsten M. (2022). 12(1) 11247.

  Previous research suggested that people prefer to administer unpleasant electric shocks to themselves rather than being left alone with their thoughts because engagement in thinking is an unpleasant activity. The present research examined this negative reinforcement hypothesis by giving participants a choice of distracting themselves with the generation of electric shock causing no to intense pain. Four experiments (N\thinspace=\thinspace254) replicated the result that a large proportion of participants opted to administer painful shocks to themselves during the thinking period. However, they administered strong electric shocks to themselves even when an innocuous response option generating no or a mild shock was available. Furthermore, participants inflicted pain to themselves when they were assisted in the generation of pleasant thoughts during the waiting period, with no difference between pleasant versus unpleasant thought conditions. Overall, these results question that the primary motivation for the self-administration of painful shocks is avoidance of thinking. Instead, it seems that the self-infliction of pain was attractive for many participants, because they were curious about the shocks, their intensities, and the effects they would have on them.
• Fourier Analysis Körner, T. W. in Cambridge Mathematical Library (2022). Cambridge University Press.
• Artificial intelligence for worker management: implications for occupational safety and health Reinhold, Karin; Järvis, Marina; Christenko, Aleksandr; Jankauskaitė, Vaida; Paliokaitė, Agnė; Riedmann, Arnold (E. Brun; M. Curtarell, eds.) (2022).
• Alternative designs and analyses for destructive and non-replicable gauge R & R studies. Hamada, M. S. (2021). 33(4) 687–694.
• Citizen Needs – To Be Considered: Requirements for Local Civic Participation Tools. Maas, Franzisca; Wolf, Sara; Hohm, Anna; Hurtienne, Jörn (2021). 20(2) 141–159.

  In this paper, we argue for and present an empirical study of putting citizens into focus during the early stages of designing tools for civic participation in a midsized German town. Drawing on Contextual and Participatory Design, we involved 105 participants by conducting interviews, using Photovoice and participating in a local neighbourhood meeting. Together with citizens, we built an Affinity Diagram, consolidated the data and identified key insights. As a result, we present and discuss different participation identities such as Motivated Activists, Convenience Participants or Companions and a collection of citizen needs for local civic participation, e. g., personal contact is irreplaceable for motivation, trust and mutual understanding, and some citizens preferred to “stumble across” information rather than actively searching for it. We use existing participation tools to demonstrate how individual needs could be addressed. Finally, we apply our insights to an example in our local context. We conclude that if we want to build digital tools that go beyond tokenistic, top-down ways of civic participation and that treat citizens as one homogeneous group, citizens need to be part of the design process right from the start. Supplemental material can be retrieved from https://osf.io/rxd7h/.
• Move&Find: The Value of Kinaesthetic Experience in a Casual Data Representation. Hurtienne, Jörn; Maas, Franzisca; Carolus, Astrid; Reinhardt, Daniel; Baur, Cordula; Wienrich, Carolin (2020). 40(6) 61–75.

  The value of a data representation is traditionally judged based on aspects like effectiveness and efficiency that are important in utilitarian or work-related contexts. Most multisensory data representations, however, are employed in casual contexts where creativity, affective, physical, intellectual, and social engagement might be of greater value. We introduce Move&Find, a multisensory data representation in which people pedalled on a bicycle to exert the energy required to power a search query on Google's servers. To evaluate Move&Find, we operationalized a framework suitable to evaluate the value of data representations in casual contexts and experimentally compared Move&Find to a corresponding visualization. With Move&Find, participants achieved a higher understanding of the data. Move&Find was judged to be more creative and encouraged more physical and social engagement—components of value that would have been missed using more traditional evaluation frameworks.
• Don’t be Afraid of Dystopias: Talking about Values in PD Processes. Maas, Franzisca; Klüber, Sara (2020). 181–184.
• Landauer Principle and General Relativity. Herrera, Luis (2020). 22(3)

  We endeavour to illustrate the physical relevance of the Landauer principle applying it to different important issues concerning the theory of gravitation. We shall first analyze, in the context of general relativity, the consequences derived from the fact, implied by Landauer principle, that information has mass. Next, we shall analyze the role played by the Landauer principle in order to understand why different congruences of observers provide very different physical descriptions of the same space-time. Finally, we shall apply the Landauer principle to the problem of gravitational radiation. We shall see that the fact that gravitational radiation is an irreversible process entailing dissipation, is a straightforward consequence of the Landauer principle and of the fact that gravitational radiation conveys information. An expression measuring the part of radiated energy that corresponds to the radiated information and an expression defining the total number of bits erased in that process, shall be obtained, as well as an explicit expression linking the latter to the Bondi news function.
• ICILS 2018 #Deutschland. Computer- und informationsbezogene Kompetenzen von Schülerinnen und Schülern im zweiten internationalen Vergleich und Kompetenzen im Bereich Computational Thinking. Eickermann, Birgit; Bos, Wilfried; Gerick, Julia; Goldhammer, Frank; Schaumburg, Heike; Schwippert, Knut; Senkbeil, Martin; Vahrenhold, Jan (2019).
• Degradation of polyethylene glycols and polypropylene glycols in microcosms simulating a spill of produced water in shallow groundwater. Rogers, Jessica D.; Thurman, E. Michael; Ferrer, Imma; Rosenblum, James S.; Evans, Morgan V.; Mouser, Paula J.; Ryan, Joseph N. (2019). 21(2) 256–268.

  Polyethylene glycols (PEGs) and polypropylene glycols (PPGs) are frequently used in hydraulic fracturing fluids and have been detected in water returning to the surface from hydraulically fractured oil and gas wells in multiple basins. We identified degradation pathways and kinetics for PEGs and PPGs under conditions simulating a spill of produced water to shallow groundwater. Sediment-groundwater microcosm experiments were conducted using four produced water samples from two Denver-Julesburg Basin wells at early and late production. High-resolution mass spectrometry was used to identify the formation of mono- and di-carboxylated PEGs and mono-carboxylated PPGs, which are products of PEG and PPG biodegradation, respectively. Under oxic conditions, first-order half-lives were more rapid for PEGs (<0.4–1.1 d) compared to PPGs (2.5–14 d). PEG and PPG degradation corresponded to increased relative abundance of primary alcohol dehydrogenase genes predicted from metagenome analysis of the 16S rRNA gene. Further degradation was not observed under anoxic conditions. Our results provide insight into the differences between the degradation rates and pathways of PEGs and PPGs, which may be utilized to better characterize shallow groundwater contamination following a release of produced water.
• Reproducibility vs. Replicability: A Brief History of a Confused Terminology. Plesser, Hans E. (2018). Volume 11 - 2017
• An Efficient System for Forward Collison Avoidance Using Low Cost Camera & Embedded Processor in Autonomous Vehicles. R, Manoj C (2018).
• Dual Edge-Triggered D-Type Flip-Flop with Low Power Consumption. Yu, Chien-Cheng; Tsai1, Ching-Chith in Communications in Computer and Information Science, M. Helfert, D. Ferguson, V. M. Muñoz, J. S. Cardoso (eds.) (2018). (Vol. 740) 187–208.
• PISA 2012 Skalenhandbuch. Dokumentation der Erhebungsinstrumente Mang, Julia; Ustjanzew, Natalia; Schiepe-Tiska, Anja; Prenzel, Manfred; Sälzer, Christine; Müller, Katharina; González Rodríguez, Elisabeth (2018). Waxmann.
• Affinity Clusters for Business Process Intelligence. Kaula, Rajeev (2018). 10(5) 1–16.

  Business process intelligence improves operational efficiency that is essential for achieving business objectives, besides facilitating competitive advantage. As an organization is a collection of business processes, enhancing business process performance on a continual basis is essential for organizational success. This paper outlines the concept of affinity clusters that can influence process performance with respect to some success criteria. Affinity refers to the percentage of time certain dimensional factors occur together with respect to some success measure. The paper illustrates the concepts through an adaptation of Oracle E-Business Suite Lead to Forecast business process that is implemented in Oracle’s PL/SQL language.
• Gravitational Starlight Deflection Measurements during the 21 August 2017 Total Solar Eclipse. Bruns, Donald G. (2018).

  Precise starlight positions near the sun were measured during the 21 August 2017 total solar eclipse in order to measure their gravitational deflections. The equipment, procedures, and analysis are described in detail. A portable refractor, a CCD camera, and a computerized mount were set up in Wyoming. Detailed calibrations were necessary to improve accuracy and precision. Nighttime measurements taken just before the eclipse provided cubic optical distortion corrections. Calibrations based on star field images 7.4 deg on both sides of the sun taken during totality gave linear and quadratic plate constants. A total of 45 images of the sky surrounding the Sun were acquired during the middle part of totality, with an integrated exposure of 22 seconds. The deflection analysis depended on accurate star positions from the USNO's UCAC5 star catalog. The final result was a deflection coefficient L = 1.752 arcsec, compared to the theoretical value of L = 1.751 arcsec, with an uncertainty of only 3%.
• Identification of polypropylene glycols and polyethylene glycol carboxylates in flowback and produced water from hydraulic fracturing. Thurman, E. Michael; Ferrer, Imma; Rosenblum, James; Linden, Karl; Ryan, Joseph N. (2017). 323 11–17.

  The purpose of the study was to separate and identify the unknown surfactants present in flowback and produced water from oil and gas wells in the Denver-Julesburg Basin (Niobrara Formation) in Weld County, Colorado, USA. Weld County has been drilled extensively during the last five years for oil and gas between 7000–8000 feet below land-surface. Polypropylene glycols (PPGs) and polyethylene glycols carboxylates (PEG-Cs) were found for the first time in these flowback and produced water samples. These ethoxylated surfactants may be used as friction reducers, clay stabilizers, and surfactants. Ultrahigh-performance liquid chromatography/quadrupole-time-of-flight mass spectrometry (UHPLC/QTOF-MS) was used to separate and identify the different classes of PPGs, PEG-Cs, and their isomers. The Kendrick mass scale was applied along with mass spectrometry/mass spectrometry (MS-MS) with accurate mass for rapid and unequivocal identification. The PPGs and their isomers occur at the ppm concentration range and may be useful as “fingerprints” of hydraulic-fracturing. Comparing these detections to the compounds used in the fracturing process from FracFocus 3.0 (https://fracfocus.org), it appears that both PPGs and polyethylene glycols (PEGs) are commonly named as additives, but the PEG-Cs have not been reported. The PEG-Cs may be trace impurities or degradation products of PEGs.
• Monitor Digitale Bildung : Die Schulen im digitalen Zeitalter. Schmid, Ulrich; Goertz, Lutz; Behrens, Julia; Stiftung, Bertelsmann (2017).
• IQB-Bildungstrend 2016. Kompetenzen in den Fächern Deutsch und Mathematik am Ende der 4. Jahrgangsstufe im zweiten Ländervergleich Stanat, Petra; Schipolowski, Stefan; Rjosk, Camilla; Weirich, Sebastian; Haag, Nicole (2017). Waxmann.
• A note on the Landauer principle in quantum statistical mechanics. Jakšić, Vojkan; Pillet, Claude-Alain (2014). 55(7) 075210.

  The Landauer principle asserts that the energy cost of erasure of one bit of information by the action of a thermal reservoir in equilibrium at temperature T is never less than kBT log 2. We discuss Landauer's principle for quantum statistical models describing a finite level quantum system coupled to an infinitely extended thermal reservoir ⁠. Using Araki's perturbation theory of KMS states and the Avron-Elgart adiabatic theorem we prove, under a natural ergodicity assumption on the joint system ⁠, that Landauer's bound saturates for adiabatically switched interactions. The recent work [Reeb, D. and Wolf M. M., “(Im-)proving Landauer's principle,” preprint arXiv:1306.4352v2 (2013)] on the subject is discussed and compared.
• Fourier Transform Methods in Finance Cherubini, Umberto; Lunga, Giovanni Della; Mulinacci, Sabrina; Rossi, Pietro (2012).
• Segmentation Similarity and Agreement. Fournier, Chris; Inkpen, Diana E. Fosler-Lussier, E. Riloff, S. Bangalore (eds.) (2012). 152–161.
• The interfacial conformation of polypropylene glycols and their foam properties. Tan, Su Nee; Fornasiero, Daniel; Sedev, Rossen; Ralston, John (2006). 19(6) 703–712.

  The foam behaviour of low molecular weight polypropylene glycols (PPG) was investigated as a function of concentration and molecular weight (190–2000gmol−1). For each polypropylene glycol, foam stability increases with concentration and passes through a maximum, beyond which foamability is suppressed as the solubility limit of the glycol is exceeded and droplets of glycol form. Light scattering data as well as static and dynamic surface tension results provide the key information leading to these interpretations. A maximum in foamability was observed for the PPG molecules with increasing molecular weight (caused by a change in molecular conformation at the interface). This suppresses the Marangoni effect and leads to a decrease in foam stability.
• Call-by-push-value: Decomposing call-by-value and call-by-name. Levy, Paul Blain (2006). 19(4) 377–414.

  We present the call-by-push-value (CBPV) calculus, which decomposes the typed call-by-value (CBV) and typed call-by-name (CBN) paradigms into fine-grain primitives. On the operational side, we give big-step semantics and a stack machine for CBPV, which leads to a straightforward push/pop reading of CBPV programs. On the denotational side, we model CBPV using cpos and, more generally, using algebras for a strong monad. For storage, we present an O'Hearn-style "behaviour semantics'' that does not use a monad.We present the translations from CBN and CBV to CBPV. All these translations straightforwardly preserve denotational semantics. We also study their operational properties: simulation and full abstraction.We give an equational theory for CBPV, and show it equivalent to a categorical semantics using monads and algebras. We use this theory to formally compare CBPV to Filinski's variant of the monadic metalanguage, as well as to Marz's language SFPL, both of which have essentially the same type structure as CBPV. We also discuss less formally the differences between the CBPV and monadic frameworks.
• Kućna kanalizacija Tušar, Božena in Udžbenici Sveučilišta u Zagrebu = Manualia Universitatis studiorum Zagrabiensis (2001). MTG-topograf, Velika Gorica.
• The Holevo bound and Landauer’s principle. Plenio, Martin B (1999).

  Landauer's principle states that the erasure of information generates a corresponding amount of entropy in the environment. We show that Landauer's principle provides an intuitive basis for Holevo bound on the classical capacity of a quantum channel.
• History of LISP. McCarthy, John (1978). 173–185.
• Tools for conviviality Illich, Ivan (1973). Harper & Row, New York.
• Surface tension and pH of drugs in root canal therapy. Naumovich, Dushan B. (1963). 16(8) 965–968.

  The purpose of this work was to investigate two physicochemical properties of drugs used in root canal therapy, namely, surface tension and hydrogen ion concentration. Surface tension was measured by the ring method, using a tensiometer, while the hydrogen ion concentration was determined by means of a glass electrode and a pH meter. The study covered twenty-two drug solutions. It was found that surface tension varied from 24.1 dynes per centimeter (96 per cent alcohol) to 75.2 dynes per centimeter (De Trey's cement liquid). The pH values varied from 0.97 (De Trey's cement liquid) to 9.95 (10 per cent chloramine). In a special series of experiments the amounts of sodium bicarbonate necessary for the neutralization of hydrogen peroxide and formaldehyde solutions were determined.
• Surface Tension of Ionic Solutions. Buff, Frank P.; Stillinger, Frank H. (1956). 25(2) 312–318.

  As an illustration of the molecular theory of surface regions, the singlet and pair distribution functions are evaluated for very dilute ionic solutions. When they are substituted into the statistical mechanical formulas for surface tension, expressions are obtained for the increase in surface tension over that of the pure solvent. The results of the theory are in better agreement with experiment than the earlier calculation of Onsager and Samaras, which was based on integration of the Gibbs adsorption equation. Finally, the distribution function approach is simply related to Mayer's recent virial coefficient theory for strong electrolyte solutions.
• Properties of sodium carbonate-sodium bicarbonate solutions. Bedekar, S. G. (1955). 5(2) 72–75.

  While investigating the absorption of carbon dioxide in sodium carbonate?bicarbonate solutions, apparently erratic variations of absorption coefficients were observed in earlier work. In an attempt to find an explanation for these variations, density, relative viscosity, pH and relative surface tension were determined for such solutions. The variations in surface tension have been found to be chiefly responsible for the variations in absorption coefficients. The absorption coefficient varied inversely with surface tension.
• Mathematics and Plausible Reasoning Pólya George (1954). Princeton University Press, Princeton, N.J.