bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lernpotenziale und -herausforderungen Digitaler Zwillinge in der Betriebsphase
Authors: Franz Julia , Wehnert Camilla 
Published: February 2024

ZusammenfassungMit der Entwicklung und dem Einsatz Digitaler Zwillinge in Industrieunternehmen wird eine Veränderung der Lernumwelten prognostiziert. Insbesondere für formale und non-formale Formate der betrieblichen Weiterbildung können daraus sowohl Potenziale als auch Herausforderungen abgeleitet werden. Vor diesem Hintergrund werden im folgenden Beitrag Lernpotenziale und -herausforderungen für Lernende und Lehrende in den Blick genommen und aus erwachsenenpädagogischer Perspektive reflektiert. Abschließend wird der Frage nachgegangen, inwiefern didaktische Prinzipien als Reflexionsmöglichkeit zum Umgang mit Herausforderungen genutzt werden können.
ISG-virtuos – der Digitale Zwilling für die Praxis
Authors: Scheifele Christian , Scheifele Dieter , Eger Ulrich , Daniel Christian , Buchal Edmund , Röck Sascha 
Published: February 2024

ZusammenfassungDas in verschiedenen Forschungsarbeiten am Institut für Steuerungstechnik der Werkzeugmaschinen und Fertigungseinrichtungen (ISW, Universität Stuttgart) entwickelte Konzept einer Softwarelösung zur Hardware-in-the-Loop Simulation für die Virtuelle Inbetriebnahme von industriellen Steuerungssystemen stellt die wissenschaftliche Grundlage für das kommerzielle Simulationswerkzeug ISG-virtuos der Firma ISG Industrielle Steuerungstechnik GmbH dar. Dieser Beitrag stellt die Simulationsplattform ISG-virtuos und deren praktische Anwendung im Maschinen- und Anlagenbau vor. ISG-virtuos deckt die Erstellung und den Einsatz von Simulationsmodellen entlang des gesamten Lebenszyklus einer Automatisierungslösung vom digitalen Engineering über die Virtuelle Inbetriebnahme bis in den Vertrieb und in die Betriebsphase, beispielsweise zur Schulung und Qualifizierung des Betreiberpersonals, für die Produktionsoptimierung, für innovative Service-Anwendungen oder das Retrofit, ab. Der Funktionsumfang dieser Simulationsplattform resultiert aus Anforderungen, die aus der Schlüsseldisziplin der Automatisierung von Maschinen und Anlagen – der Steuerungsentwicklung – kommen.
Herausforderungen bei der Abbildung der Prozess-Maschine Interaktion am Beispiel der Umformsimulation
Authors: Schenke Christer , Penter Lars , Heiland Stefan , Ihlenfeldt Steffen 
Published: February 2024

ZusammenfassungDieser Beitrag weist die Notwendigkeit der numerischen Abbildung von Prozess-Maschine Interaktionen in der Umformtechnik nach und stellt aktuelle Ansätze zu deren Modellierung und Berechnung vor. Dabei werden sowohl steigende Anforderungen hinsichtlich Modellkomplexität und -genauigkeit adressiert als auch auf die wachsenden Herausforderungen an eine Echtzeitfähigkeit ausgehend von virtuellen Werkzeuginbetriebnahmen hin zu modellbasierten Regelungsansätzen eingegangen. Abschließend werden beispielhafte Umsetzungen vorgestellt.
Automatische Modellgenerierung aus Engineering-Daten
Authors: Scheifele Stefan , Verl Alexander 
Published: February 2024

ZusammenfassungVom modernen Maschinen – und Anlagenbau wird erwartet individuelle Kundenwünsche hinsichtlich Funktionalität, Qualität und Wirtschaftlichkeit zu erfüllen. Dies gelingt durch ein mechatronisches Engineering, das kundenindividuelle Maschinen und Anlagen auf Basis eines Baukastens aus wiederverwendbaren Komponenten realisieren kann. Dieser Beitrag stellt dar, wie auch der Digitale Zwilling für die Virtuelle Inbetriebnahme ebenso modular und auf denselben Prinzipien beruhend automatisiert generiert werden kann. Durch Integration der Virtuellen Inbetriebnahme (VIBN) in den mechatronischen Engineeringprozess lässt sich die VIBN wirtschaftlich in der Praxis einsetzen. Dies wird anhand einer modularen Fertigungsanlage für die vollautomatisierte Möbelfertigung gezeigt.
Christoph Kölers Übersetzung von Joseph Halls Heaven upon Earth (1632)
Authors: Jabłecki Tomasz 
Published: February 2024

ZusammenfassungCalled “our English Seneca” in his time, Joseph Hall (1574–1656), Bishop of Exeter and Norwich, author of theological and moral treatises, wrote one of his most famous and important works Haeven upon Earth in 1606. This treatise was translated into German in 1632 by the Breslau poet, professor and librarian Christoph Köler (1602–1658). The subtitle of Hall’s work Of True Peace and Tranquillity of Mind places his philosophical-religious reflections in the succession of the Senecan and Lipsian “tranquillity of mind”, a philosophical standpoint that Köler, the resolute representative of Lipsian Neo-Stoicism in Silesia, held dear in a special way. The article examines the scope, aim and function of Köler’s translation for education, culture and literary history.
John Bunyans Pilgerreise von London über Amsterdam nach Hamburg: Niederländisch als Intermediärsprache für Übersetzungen aus dem Englischen in der Frühen Neuzeit
Authors: Eickmans Heinz 
Published: February 2024

ZusammenfassungThe first part of this article is devoted to the origins of the early German translations of John Bunyan’s works that appeared until the end of the 17th century, especially his major workThe Pilgrim’s Progress(1678, dt.Eines Christen Reise nach der Seeligen Ewigkeit1685). By means of some textual examples it will be shown that this translation – like all other early translations of Bunyan’s works – is not based on the English original but on the Dutch translation, therefore that it is an ‘indirect translation’ which reached German by way of an intermediary language. The second part of the article first examines the general question of the proportion of indirect translations in the early modern period and then devotes itself specifically to the hitherto insufficiently considered importance of Dutch, which is hardly inferior to French as an intermediary language for indirect translations from English and even occupies first place for the field of English devotional literature of the 17th century.
Autorschaft und Übersetzen: Gryphius’ Cardenio und Celinde im Verhältnis zu einem verlorenen Drama Shakespeares
Authors: Jobez Romain 
Published: February 2024

ZusammenfassungThis article analyses cultural exchange processes in early modern Europe using the example of the circulation of the Cardenio and Celinde material, the original text of which can be found in Cervantes’ Don Quixote. However, comparative research often reaches its limits because the history of reception is difficult to reconstruct due to the lack of sources: What, for example, connects Gryphius’ tragedy with Shakespeare’s lost drama The History of Cardenio? What did both playwrights know about the literature of the Siglo de Oro? An answer to these questions is provided by a consideration of the author as a cultural mediator in the sense of Roger Chartier. In case of the Silesian poet, it also makes it possible to draw conclusions about his knowledge of foreign-language literatures that go far beyond his actual translation work.
Undergraduate Research for Preservice Teachers: Navigating Its Rich Complexity and Novel Possibilities
Authors: Palmer Ruth J. 
Published: February 2024

AbstractLearners grapple with ways of responding to the uncertainties that currently permeate their academic experiences. In that environment, preservice teachers (PSTs) strive to cultivate complex thinking to master their learning; simultaneously, teacher educators (TEs) wrestle to create instructional designs that facilitate meaningful outcomes. Both groups’ success occurs when they adopt frameworks and strategies that enhance the teaching/learning experiences. This chapter reports the results of a qualitative study, which aimed first, to uncover the features of one TE’s approach to the design undergirding a research-integrated preclinical secondary education course; and second, to analyze the implementation progression to illuminate those features that facilitated PSTs’ engaged learning. The findings uncovered the TE’s capacity to anchor the course redesign on elements of the RSD Framework, and PSTs’ capacity to persist across learning environments that integrated research thinking into habits of mind routines. These have implications for the responsive and thoughtful adoption of curriculum-based undergraduate research experiences, TEs’ role extension into curriculum design, and faculty-student partnership for academic success.
Quantified treatment effect at the individual level is more indicative for personalized radical prostatectomy recommendation: implications for prostate cancer treatment using deep learning
Authors: Pan Huiqing , Wang Jiayi , Shi Weizhong , Xu Ziqin , Zhu Enzhao 
Published: February 2024

Abstract
Background
There are potential uncertainties and overtreatment existing in radical prostatectomy (RP) for prostate cancer (PCa) patients, thus identifying optimal candidates is quite important.

Purpose
This study aims to establish a novel causal inference deep learning (DL) model to discern whether a patient can benefit more from RP and to identify heterogeneity in treatment responses among PCa patients.

Methods
We introduce the Self-Normalizing Balanced individual treatment effect for survival data (SNB). Six models were trained to make individualized treatment recommendations for PCa patients. Inverse probability treatment weighting (IPTW) was used to avoid treatment selection bias.

Results
35,236 patients were included. Patients whose actual treatment was consistent with SNB recommendations had better survival outcomes than those who were inconsistent (multivariate hazard ratio (HR): 0.76, 95% confidence interval (CI), 0.64–0.92; IPTW-adjusted HR: 0.77, 95% CI, 0.61–0.95; risk difference (RD): 3.80, 95% CI, 2.48–5.11; IPTW-adjusted RD: 2.17, 95% CI, 0.92–3.35; the difference in restricted mean survival time (dRMST): 3.81, 95% CI, 2.66–4.85; IPTW-adjusted dRMST: 3.23, 95% CI, 2.06–4.45). Keeping other covariates unchanged, patients with 1 ng/mL increase in PSA levels received RP caused 1.77 months increase in the time to 90% mortality, and the similar results could be found in age, Gleason score, tumor size, TNM stages, and metastasis status.

Conclusions
Our highly interpretable and reliable DL model (SNB) may identify patients with PCa who could benefit from RP, outperforming other models and clinical guidelines. Additionally, the DL-based treatment guidelines obtained can provide priori evidence for subsequent studies.
Laienreanimationstraining in Österreich: Eine Übersicht und Annäherung
Authors: Veigl Christoph , Orlob Simon , Kloimstein Thomas , Schnaubelt Benedikt , Krammel Mario , Draxl Markus , Feurhuber Lukas , Wittig Johannes , Schlieber Joachim , Schnaubelt Sebastian 
Published: February 2024

ZusammenfassungDas frühzeitige Eingreifen von Laien bei einem außerklinischen Herzstillstand verbessert die Überlebenswahrscheinlichkeit und das neurologische Outcome erheblich. In Österreich gibt es einige Organisationen und Initiativen, die durch Reanimationsschulungen für Laien einerseits- und Awarenessbildung für den plötzlichen Herztod andererseits versuchen, die aktuell niedrige Überlebenswahrscheinlichkeit des plötzlichen Herztodes zu steigern. Um eine Übersicht über die verschiedenen Organisationen zu erhalten, wurden Fragebögen versandt. Fünfzehn von 26 Organisationen (58 %) beantworteten den Fragebogen. Die geografische Verteilung der Organisationen zwischen ländlichem und städtischem Gebiet wurde anhand einer Karte dargestellt. Ein großer Teil der Organisationen ist in Universitätsstädten aktiv. Dies führt zu einer unterschiedlichen Erreichbarkeit von Personen im ländlichen und urbanen Raum. Die Schulung von Laien in der Reanimation ist größtenteils von ehrenamtlichem Engagement abhängig. Die verwendete Zeit für das praktische Üben der Herzdruckmassage in Reanimationskursen variiert zwischen 25 und 90 % der gesamten Zeit eines Kurses. Weiters konnten Gründe für ein fehlendes wissenschaftliches Engagement exploriert werden. Durch die Vernetzung der verschiedenen Organisationen und Initiativen sollen in Zukunft noch mehr Laien geschult werden als bisher, um dadurch die Überlebenswahrscheinlichkeit des außerklinischen Kreislaufstillstands in Österreich zu steigern. Eine entsprechende Unterstützung durch die Politik und öffentliche Instanzen sollte selbstverständlich sein bzw. werden.
Increasing Winter Temperatures Stimulate Scots Pine Growth in the North German Lowlands Despite Stationary Sensitivity to Summer Drought
Authors: Diers Marco , Leuschner Christoph , Dulamsuren Choimaa , Schulz Thore Christian , Weigel Robert 
Published: February 2024

AbstractMore than half of the forest area of the North German Lowlands is stocked with Scots pine-dominated forests, mostly plantations. Climate change suggests a declining suitability of Europe’s temperate zone for conifer plantations, but only a few studies have examined the long-term growth trends of Scots pine in relation to environmental and site factors in this region. We studied the radial growth patterns of Scots pine over the last 60 years at ten sites along a precipitation gradient (830–530 mm mean annual precipitation) from an oceanic to a subcontinental climate, analyzing the spatial and temporal variability of the climate sensitivity of growth to identify the main climatic factors influencing pine growth across this gradient, which covers a large part of the species’ tolerated precipitation range. Annual radial increment was sensitive to late-winter temperatures (February, March) and summer drought and heat (June–August), with sensitivity increasing from the oceanic to the drier continental sites. Warmer late-winter periods apparently have stimulated growth during the last decades, while the sensitivity to summer-drought has remained fairly stable. Until recently, the negative impact of warming summers on growth has been compensated by the positive effect of late-winter warming, resulting in stable (or increasing) growth trends. However, our comparison of the climate sensitivity across sites suggests that the drought effect compensation through winter warming will in future be limited by increasing drought exposure. Thus, future productivity declines are likely in the northern German lowlands despite warming winters, discouraging large-scale pine plantations in the face of climate warming.
Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs
Authors: Kafali Sevgi Gokce , Shih Shu-Fu , Li Xinzhou , Kim Grace Hyun J. , Kelly Tristan , Chowdhury Shilpy , Loong Spencer , Moretz Jeremy , Barnes Samuel R. , Li Zhaoping , Wu Holden H. 
Published: February 2024

Abstract
Objective
Increased subcutaneous and visceral adipose tissue (SAT/VAT) volume is associated with risk for cardiometabolic diseases. This work aimed to develop and evaluate automated abdominal SAT/VAT segmentation on longitudinal MRI in adults with overweight/obesity using attention-based competitive dense (ACD) 3D U-Net and 3D nnU-Net with full field-of-view volumetric multi-contrast inputs.

Materials and methods
920 adults with overweight/obesity were scanned twice at multiple 3 T MRI scanners and institutions. The first scan was divided into training/validation/testing sets (n = 646/92/182). The second scan from the subjects in the testing set was used to evaluate the generalizability for longitudinal analysis. Segmentation performance was assessed by measuring Dice scores (DICE-SAT, DICE-VAT), false negatives (FN), and false positives (FP). Volume agreement was assessed using the intraclass correlation coefficient (ICC).

Results
ACD 3D U-Net achieved rapid (< 4.8 s/subject) segmentation with high DICE-SAT (median ≥ 0.994) and DICE-VAT (median ≥ 0.976), small FN (median ≤ 0.7%), and FP (median ≤ 1.1%). 3D nnU-Net yielded rapid (< 2.5 s/subject) segmentation with similar DICE-SAT (median ≥ 0.992), DICE-VAT (median ≥ 0.979), FN (median ≤ 1.1%) and FP (median ≤ 1.2%). Both models yielded excellent agreement in SAT/VAT volume versus reference measurements (ICC > 0.997) in longitudinal analysis.

Discussion
ACD 3D U-Net and 3D nnU-Net can be automated tools to quantify abdominal SAT/VAT volume rapidly, accurately, and longitudinally in adults with overweight/obesity.
Mapping landslides from space: A review
Authors: Novellino Alessandro , Pennington Catherine , Leeming Kathryn , Taylor Sophie , Alvarez Itahisa Gonzalez , McAllister Emma , Arnhardt Christian , Winson Annie 
Published: February 2024

AbstractLandslide hazards have significant social, economic, and environmental impact. This work provides a critical review of the main existing literature using satellite data for mapping landslides. We created and examined an extensive bibliographic database from Web of Science (WoS) consisting in 291 outputs from > 1,000 authors who studied almost 700,000 landslides across all continents, for a total of 52 countries represented with China and Italy on top of the list with more authors. The outputs are equivalent to ~ 5% of the whole landslide-related production for the period 1996–2022, with a 600% increase in the number of papers after 2014 driven by the availability of Sentinel-1 and Sentinel-2 data. Analysis of the geographical location across the 66 different countries analysed shows that, within the total number of contributions, the satellite imagery was used to detect and map two main types of landslides: flows and slides. When specified in the manuscripts, the events have been triggered by rainfall (104 cases), earthquakes (32 cases), or both (17 cases). Slope instabilities in these areas were predominantly identified through manual detection (40%); but since 2020, the advent of artificial intelligence is suppressing all other techniques. Despite the undisputed progress of EO-based landslide mapping over the last 26 years, which makes it a consolidated tool for many landslide-related applications, challenges still remain for an effective and operational use of EO images for landslide detection and mapping, and we provide a perspective for future applications considering the existing and the planned SAR satellite missions.
Artificial intelligence powered Metaverse: analysis, challenges and future perspectives
Authors: Soliman Mona M. , Ahmed Eman , Darwish Ashraf , Hassanien Aboul Ella 
Published: February 2024

AbstractThe Metaverse, a virtual reality (VR) space where users can interact with each other and digital objects, is rapidly becoming a reality. As this new world evolves, Artificial Intelligence (AI) is playing an increasingly important role in shaping its development. Integrating AI with emerging technologies in the Metaverse creates new possibilities for immersive experiences that were previously impossible. This paper explores how AI is integrated with technologies such as the Internet of Things, blockchain, Natural Language Processing, virtual reality, Augmented Reality, Mixed Reality, and Extended Reality. One potential benefit of using AI in the Metaverse is the ability to create personalized experiences for individual users, based on their behavior and preferences. Another potential benefit of using AI in the Metaverse is the ability to automate repetitive tasks, freeing up time and resources for more complex and creative endeavors. However, there are also challenges associated with using AI in the Metaverse, such as ensuring user privacy and addressing issues of bias and discrimination. By examining the potential benefits and challenges of using AI in the Metaverse, including ethical considerations, we can better prepare for this exciting new era of VR. This paper presents a comprehensive survey of AI and its integration with other emerging technologies in the Metaverse, as the Metaverse continues to evolve and grow, it will be important for developers and researchers to stay up to date with the latest developments in AI and emerging technologies to fully leverage their potential.
An efficient multimodal sentiment analysis in social media using hybrid optimal multi-scale residual attention network
Authors: Subbaiah Bairavel , Murugesan Kanipriya , Saravanan Prabakeran , Marudhamuthu Krishnamurthy 
Published: February 2024

AbstractSentiment analysis is a key component of many social media analysis projects. Additionally, prior research has concentrated on a single modality in particular, such as text descriptions for visual information. In contrast to standard image databases, social images frequently connect to one another, making sentiment analysis challenging. The majority of methods now in use consider different images individually, rendering them useless for interrelated images. We proposed a hybrid Arithmetic Optimization Algorithm- Hunger Games Search (AOA-HGS)-optimized Ensemble Multi-scale Residual Attention Network (EMRA-Net) technique in this paper to explore the modal correlations including texts, audio, social links, and video for more effective multimodal sentiment analysis. The hybrid AOA-HGS technique learns complementary and comprehensive features. The EMRA-Net uses two segments, including Ensemble Attention CNN (EA-CNN) and Three-scale Residual Attention Convolutional Neural Network (TRA-CNN), to analyze the multimodal sentiments. The loss of spatial domain image texture features can be reduced by adding the Wavelet transform to TRA-CNN. The feature-level fusion technique known as EA-CNN is used to combine visual, audio, and textual information. The proposed method performs significantly better than the existing multimodel sentimental analysis techniques of HALCB, HDF, and MMLatch when evaluated using the Multimodal Emotion Lines Dataset (MELD) and EmoryNLP datasets. Also, even though the size of the training set varies, the proposed method outperformed other techniques in terms of recall, accuracy, F score, and precision and takes less time to compute in both datasets.