bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wölbkrafttorsion in exzentrisch beanspruchten Sandwichelementen
Authors: Pradhan Eric Man , Rädel Felicitas , Lange Jörg 
Published: November 2024

AbstractGegenwärtig lässt sich ein gesteigertes Interesse an der Nutzung von Sandwichelementen verzeichnen, die neben der Biegebeanspruchung auch Torsionsbeanspruchungen ausgesetzt sind. Dies ist insbesondere bei Fassaden relevant, wenn Sandwichelemente mit Photovoltaik oder einer ergänzenden Vorhangfassade ausgestattet werden. Derzeit ist die Zulassung jedoch an aufwendige Bauteilversuche geknüpft, da für praktische Anwendungen eine mechanisch fundierte bzw. normative Berechnungsgrundlage bisher nicht zur Verfügung steht. Im vorliegenden Aufsatz werden Analysen des Tragverhaltens von Sandwichelementen, welche senkrecht zur Deckblechebene exzentrisch beansprucht werden, vorgestellt. Umfangreiche experimentelle, numerische und analytische Untersuchungen wurden an Sandwichwandelementen mit Polyisocyanurat‐ (PIR‐) Kern innerhalb einer großen Bandbreite von materialspezifischen und geometrischen Parametern durchgeführt. Mithilfe der Versuchsdaten wurden zunächst die Validität und Reliabilität des Finite‐Elemente‐Modells und des analytischen Berechnungsmodells, basierend auf der Wölbkrafttorsion, evaluiert. Kern der Arbeit ist eine darauf aufbauende Parameterstudie. Die Ergebnisse belegen die allgemeine Anwendbarkeit der Wölbkrafttorsion in Sandwichelementen innerhalb der zulässigen Anwendungsgrenzen und dienen als Grundlage für ein neu entwickeltes, praxisgerechtes Näherungsverfahren zur Spannungs‐ und Verformungsberechnung.
Recent Advances of C−S Coupling Reaction of (Hetero)Arenes by C−H Functionalization
Authors: Zhang Lei‐Yang , Wang Nai‐Xing , Lucan Dumitra , Nastasi Julia , Xing Yalan 
Published: November 2024

AbstractOrganic sulfur compounds encompass a vast and diverse variety of species that possess unique biological activity due to the presence of sulfur atoms or sulfur‐containing functional groups. These compounds are widely present in natural products, pharmaceuticals, agricultural chemicals, and functional materials. In recent years, numerous sulfur‐containing compounds such as thiols, thioethers, disulfides, thiourea, dimethyl sulfoxide, sulfonates and their derivatives, as well as sulfur‐containing inorganic compounds, have been utilized as coupling agents to synthesize (hetero)aryl sulfides via C−H Functionalization. These novel transformations provide effective methods for constructing C−S bond of (hetero)arenes, while also expanding the scope of (hetero)aryl sulfides with the potential biological activity. Therefore, the synthesis of aryl sulfides through C−H bond functionalization has attracted widespread attention. This review mainly focuses on the construction of (hetero)aryl sulfides via C−H bond functionalization since 2015. We hope this review offers a useful conceptual overview and inspires further advancements in the efficient construction of C−S bonds.
Expanding Support Beyond Clinical Care in IBD Patients
Authors: Shen Zhonglei , Li Sheng 
Published: November 2024

ABSTRACTIntroductionA rational discussion of the impact of Pain, Fatigue and Bowel Incontinence on the Quality of Life of People Living With Inflammatory Bowel Disease: A UK Cross‐ Sectional Survey.ConclusionTo help Inflammatory Bowel Disease patients manage symptoms and improve quality of life by incorporating a multifaceted community health strategy that goes beyond routine symptomatic treatment.
One‐step polymerization of polyvinyl alcohol/cashew gum/polypyrrole/copper oxide nanocomposites for high‐performance flexible films in optoelectronics
Authors: Kalladi Ayisha Jemshiya , Jayalakshmi K. , Ramesan M. T. 
Published: November 2024

AbstractA ternary blend nanocomposite composed of polyvinyl alcohol/cashew gum/polypyrrole (PVA/CG/PPy) with varying contents of copper oxide (CuO) nanoparticles was synthesized via an in situ polymerization method, using water as an eco‐friendly solvent. Fourier‐transform infrared spectroscopy (FTIR), UV–visible spectroscopy, field emission scanning electron microscopy (FE‐SEM), x‐ray diffraction (XRD), thermogravimetric analysis (TGA), and differential scanning calorimetry (DSC) were used to characterize the ternary blend nanocomposites. FTIR and UV–visible spectra demonstrated strong intermolecular interactions between the functional groups of the PVA/CG/PPy blend and the CuO nanoparticles. XRD patterns revealed that the CuO nanofillers were arranged in a structured manner within the ternary blend matrix. FE‐SEM confirmed the uniform dispersion and structured arrangement of CuO nanofillers at a concentration of 3 wt% within the blend matrix. TGA and DSC results showed that the addition of CuO nanoparticles to the PVA/CG/PPy blend improved both the thermal stability and glass transition temperature of the blend matrix. Electrical properties improved with CuO content up to 3 wt%, resulting in enhanced conductivity, an increased dielectric constant, and reduced activation energy. The highest tensile strength, 13.76 MPa, was also observed at this concentration. However, properties declined beyond 3 wt% due to agglomeration, making 3 wt% the ideal concentration for maximum performance. This study highlights the potential of PVA/CG/PPy/CuO nanocomposites for applications requiring improved electrical properties and thermal stability, particularly in flexible electronics and energy storage devices.Highlights
Eco‐friendly synthesis of PVA/CG/PPy/CuO biopolymer nanocomposite films
Improvement in morphological, and optical properties of PVA/CG/PPy/CuO films.
CuO nanofillers magnify the thermal properties of the pristine PVA/CG/PPy
Conductivity and dielectric characteristics: frequency and temperature dependence explored.
PVA/CG/PPy/CuO nanocomposite films: pliable contenders unveiling industrial potentials.
Multimodal management of PD‐L1 positive sinonasal inverted papilloma with malignant transformation
Authors: Velazquez Vanessa , Hakim Mohamad Nawar , Brockhoff Hans , Maharaj Satish 
Published: November 2024

AbstractInverted papillomas (IP) are rare sinonasal tumors (Schneiderian papillomas) characterized by local invasion, with high recurrence rates and potential for malignant transformation into squamous cell carcinoma (SCC ex‐IP). Traditionally, the mainstay of treatment has been surgical resection, often challenging due to invasion of the skull base or vital neurovascular structures. In advanced cases, prognosis is poorer and radiation therapy is the current standard of care with limited role of systemic therapy. We present a case of unresectable SCC ex‐IP treated with sequential chemoradiation and PD‐1 immunotherapy (pembrolizumab) and achieving complete response at 1 year. This case suggests that immunotherapy can effectively treat SCC ex‐IP and we propose that programmed death ligand‐1 (PD‐L1) testing should be performed in all advanced cases. Prospective studies are needed to validate immunotherapy in adjuvant or frontline treatments for advanced SCC ex‐IP, and the role of PD‐L1 as a predictive biomarker.
Narrativising Events
Authors: Porzel Robert , Pomarlan Mihai , Spillner Laura , Rockstroh Johanna , Bateman John A. 
Published: November 2024

AbstractA challenge for automated user access to, or presentation of, event data is the fact that such data rarely explicitly controls for appropriate narrativisation choices. This is problematic because readers nevertheless read narrativisation effects into texts regardless of whether those effects were intended or not. Gaining control of such effects, which we characterise here as the “narrativisation task”, therefore constitutes a general problem whenever knowledge is to be externalised for user access, regardless of whether that externalisation is linguistic or involves other presentation modalities. To achieve narrative control in verbalisation, we present a formal theory of narratives using OWL-DL, specifying the theory’s ontological commitments and accompanying ontological design patterns. Building on this, we demonstrate a specific pipeline that can be applied to produce linguistic narratives from knowledge graphs via an ontological layer and corresponding rules that generate appropriately slanted natural language from semantic specifications. This complements existing event knowledge by pairing any event representation with a selected conceptualisation, i.e. interpretation. By these means, we aim to improve user access to event information by constructing appropriate narrative stances that help render information presentation coherently in multiple languages; we illustrate this capability here using English and Spanish.
Multimodal Geolocation Estimation in News Documents
Authors: Tahmasebzadeh Golsa , Müller-Budack Eric , Ewerth Ralph 
Published: November 2024

AbstractWith the proliferation of news documents on the Internet, online news reading has become an important approach for information acquisition in people’s daily lives. There has, however, been increasing concern with the growing infusion of misinformation. As a complement to news text, associated photos provide readers with additional information to facilitate their ability to find the information they need. To contextualise the vast amount of news that is published worldwide, the geographic content is crucial. On the other hand, the geographic content plays an important role in news recommendation to facilitate user desires. Existing approaches for geolocation estimation are primarily based on either text or photos as separate tasks. However, news photos can lack geographical cues, and text can include multiple locations. Therefore, it is challenging to recognise the focus location of the news story based on only one modality. We introduce novel datasets for multimodal geolocation estimation of news documents. We evaluate current methods on the benchmark datasets and suggest new methods for news geolocalisation using textual and visual content. In addition, we introduce a news retrieval system called GeoWINE based on the geographic content of news photos to emphasise the importance of geolocation estimation in the news domain.
Processing Multimodal Information: Challenges and Solutions for Multimodal Sentiment Analysis and Hate Speech Detection
Authors: Hakimov Sherzod , Cheema Gullal S. , Ewerth Ralph 
Published: November 2024

AbstractThis chapter explores the challenges and solutions for processing multimodal information, specifically in the context of multimodal sentiment analysis and hate speech detection. The increasing amount of multimodal data, such as text, images and videos, presents unique challenges for machine learning algorithms. These challenges include the integration and fusion of information from multiple modalities to acquire the overall context. In this chapter, first, we present an overview of recent developments on multimodal learning techniques in the context of sentiment and hate speech detection; second, we present a multimodal model that combines different visual aspects and features for multimodal sentiment detection; and third, we present a multi-task multimodal model for misogyny detection in multimodal memes.
Event Recommendation Through Language-Specific User Behaviour in Clickstreams
Authors: Abdollahi Sara , Demidova Elena , Gottschalk Simon 
Published: November 2024

AbstractThe relevance and perception of events with global and local impact, such as national elections and terrorist attacks, can vary significantly among different language communities. This chapter discusses recent user access models for event-centric multilingual information, focusing on assisting users, including social scientists and digital humanities researchers, who analyse such events and their impacts. These models aim to facilitate information exploration by emphasising cultural and linguistic differences, a dimension often overlooked by existing entity recommendation methods. Developing recommendation models supporting cross-lingual and cross-cultural analysis of event-related information is particularly challenging due to language barriers and the lack of established datasets. To address these challenges, our prior work involved the creation of the EventKG+Click dataset, which contains event-centric user interaction traces extracted from the EventKG knowledge graph and Wikipedia clickstream data. Additionally, we introduced LaSER—a language-specific event recommendation model that considers the user’s linguistic and cultural preferences. To improve recommendations, LaSER incorporates language-specific click data from EventKG+Click. Furthermore, LaSER integrates language-specific embeddings of entities and events, along with their spatio-temporal features, into a learning-to-rank model. This chapter provides an overview of these methods, datasets and evaluation results.
Transnationality: An Advantage or a Hindrance for a Career in Theatre? Swedish Actors in Finland, the Struggle for National Independence, and the Question of Language on Stage
Authors: Hoogland Rikard 
Published: November 2024

AbstractIn a time of rising nationalism and the struggle for independence in Finland at the end of the nineteenth century and the beginning of the twentieth century, theatre became a popular tool for the introduction of a transnational and bilingual identity encompassing Finnish and Swedish as stage languages. Because the Finland-Swedish variant of Swedish had long been dismissed as not being a proper stage language, native Swedish actors were engaged to ‘purify’ the Swedish language on Finland’s stages and help gain acceptance for bilingual theatres. Several of these actors and actresses migrated from Sweden to Finland and became part of the development of the Swedish-speaking theatre. This chapter follows two of these Swedish actors, who were both engaged at the Swedish-speaking national theatre in Helsinki (Svenska Teatern): Ernst Ahlbom and Karin Swanström. Their professional biographies are—as will be shown—a testament to both the transnational character of Scandinavia at the time and the parallel process of nation-building and the construction of national imaginaries through and within the theatre.
Introduction to Mastering Your Entrepreneurial Journey
Authors: Kuckertz Andreas , Leicht Thomas , Scheu Maximilian , da Silva Wagner Indra , Ebersberger Bernd 
Published: November 2024

AbstractIn this chapter, you will learn how to utilize this book to build essential skills for entrepreneurship. We will explain why mastering these skills is beneficial for any entrepreneurial journey and how they can enhance professional work in various contexts. We will outline the structure of each chapter and explain how adhering to the guidance provided can elevate your entrepreneurial experience. Additionally, we offer advice on how taking immediate action while reading the book can help you acquire entrepreneurial skills effectively.
Demystifying Entrepreneurship: What It Is and What It Is Not
Authors: Kuckertz Andreas , Leicht Thomas , Scheu Maximilian , da Silva Wagner Indra , Ebersberger Bernd 
Published: November 2024

AbstractEntrepreneurship is a concept that many people need to understand before they engage in it. We argue for an understanding of entrepreneurship that extends the conceptual application of starting a business and outline that it is all about discovering opportunities and solving problems. The chapter guides you in finding the meaning of entrepreneurship for yourself and the world, helping you to understand the core principles that define entrepreneurship. We elaborate on who an entrepreneur is, understand the unique traits and skills that set them apart, and how you might fit into this dynamic scheme. We introduce the opportunity canvas, a tool designed to foster problem-oriented thinking. The opportunity canvas helps in sorting problems according to their intensity for the problem owner and based on the overall scale of the problem. We offer advice for immediate action.
NFκB and JNK pathways mediate metabolic adaptation upon ESCRT-I deficiency
Authors: Cendrowski Jaroslaw , Wrobel Marta , Mazur Michal , Jary Bartosz , Maurya Ranjana , Wang Surui , Korostynski Michal , Dziewulska Anna , Rohm Maria , Kuropka Patryk , Pudelko-Malik Natalia , Mlynarz Piotr , Dobrzyn Agnieszka , Zeigerer Anja , Miaczynska Marta 
Published: November 2024

AbstractEndosomal Sorting Complexes Required for Transport (ESCRTs) are crucial for delivering membrane receptors or intracellular organelles for lysosomal degradation which provides the cell with lysosome-derived nutrients. Yet, how ESCRT dysfunction affects cell metabolism remained elusive. To address this, we analyzed transcriptomes of cells lacking TSG101 or VPS28 proteins, components of ESCRT-I subcomplex. ESCRT-I deficiency reduced the expression of genes encoding enzymes involved in oxidation of fatty acids and amino acids, such as branched-chain amino acids, and increased the expression of genes encoding glycolytic enzymes. The changes in metabolic gene expression were associated with Warburg effect-like metabolic reprogramming that included intracellular accumulation of lipids, increased glucose/glutamine consumption and lactate production. Moreover, depletion of ESCRT-I components led to expansion of the ER and accumulation of small mitochondria, most of which retained proper potential and performed ATP-linked respiration. Mechanistically, the observed transcriptional reprogramming towards glycolysis in the absence of ESCRT-I occurred due to activation of the canonical NFκB and JNK signaling pathways and at least in part by perturbed lysosomal degradation. We propose that by activating the stress signaling pathways ESCRT-I deficiency leads to preferential usage of extracellular nutrients, like glucose and glutamine, for energy production instead of lysosome-derived nutrients, such as fatty acids and branched-chain amino acids.
Numerical analysis of the SIMP model for the topology optimization problem of minimizing compliance in linear elasticity
Authors: Papadopoulos Ioannis P. A. 
Published: November 2024

Abstract
We study the finite element approximation of the solid isotropic material with penalization method (SIMP) for the topology optimization problem of minimizing the compliance of a linearly elastic structure. To ensure the existence of a local minimizer to the infinite-dimensional problem, we consider two popular regularization methods:

$$W^{1,p}$$

W

1
,
p

-type penalty methods and density filtering. Previous results prove weak(-*) convergence in the space of the material distribution to a local minimizer of the infinite-dimensional problem. Notably, convergence was not guaranteed to all the isolated local minimizers. In this work, we show that, for every isolated local or global minimizer, there exists a sequence of finite element local minimizers that strongly converges to the minimizer in the appropriate space. As a by-product, this ensures that there exists a sequence of unfiltered discretized material distributions that does not exhibit checkerboarding.
Reducing Metal Artifacts in Clinical Photon Counting Detector Computed Tomography—A Phantom Study of an Exemplary Total Hip Arthroplasty
Authors: Marcus Roy P. , Feuerriegel Georg C. , Marth Adrian A. , Goller Sophia S. , Nanz Daniel , Anhaus Julian , Sutter Reto 
Published: November 2024

Abstract
Objective
To examine how different photon-counting detector (PCD) CT scanning and reconstruction methods affect the volume of metal artifacts and image quality for a hip prosthesis phantom.

Methods
A titanium and cobalt-chromium-molybdenum-alloy total hip prosthesis phantom was scanned using a clinical PCD-CT with a constant tube potential (140 kV) and Computed-Tomography-Dose- Index (7 mGy). Different scan settings were used: with/without tin-filter (Sn), with/without ultra-high resolution (UHR), both individually and combined, resulting in four modes: Quantumplus (Standard), UHR Quantumplus (HighRes), QuantumSn (Standard-Tin) and UHR QuantumSn (HighRes-Tin). Reconstructions included virtual monoenergetic images (VMI) spanning 40–190 keV and polychromatic images, with/without iterative metal artifact reduction (MAR). Artifact volumes rendered in a 3D-printing software were quantified in milliliters (ml), and image quality was evaluated using a Likert score.

Results
Polychromatic reconstruction: Tin-filter reduced artifact volumes (298 (Standard-Tin) vs. 347 ml (Standard) and 310 (HighRes-Tin) vs. 360 ml (HighRes)). The smallest artifact volume was measured in HighRes MAR (150 ml).
VMI reconstruction: The smallest artifact volume was measured in Standard 130 keV (150 ml) and HighRes 130 keV (164 ml) and in Standard-Tin 120 keV (169 ml) and HighRes-Tin 120 keV (172 ml). MAR further reduced the artifact volumes to 130 ml (Standard 150 keV MAR) and 140 ml (HighRes 160 keV MAR).
Image quality was rated best for Standard 65 keV MAR, polychromatic HighRes MAR, Standard 100 keV MAR, polychromatic Standard-tin MAR, HighRes-tin 100 keV and polychromatic HighRes-tin.

Conclusion
Combining tin-filter, UHR and MAR in VMI or polychromatic images achieve the strongest artifact reduction.
Room temperature superparaelectric state in 20BaTiO3-60V2O5-20Bi2O3 glass for capacitive energy storage applications
Authors: El-Desoky M. M. , Morad Ibrahim , Fareed Shereef A. , Harby Amany E. 
Published: November 2024

AbstractMaterials with high dielectric constant exhibit excellent charge storage capacity, making them favorable solutions for next-generation dielectric capacitors. The glass system with the composition of 20BaTiO3-60V2O5-20Bi2O3 was prepared by conventional melt quenching technique. The glassy nature of the sample was confirmed by using DSC and XRD measurement while the existence of nano polar cluster inside the glass matrix was confirmed using HRTEM. The real permittivity (ε\) value shows two peaks in which the dielectric constant gradually increases up to a maximum value (εm) with the increase in temperature, and then it smoothly decreases, suggesting two phase transitions around 180 and 280 ◦ C. The measurements of the P–E hysteresis loop illustrated energy storage density of 124 mJ/cm3 and energy storage efficiency about 84% at room temperature. The glass sample shows superparaelectric behavior confirmed by the dielectric and P-E loop measurements. For high-energy storage applications, dipolar glasses have more outstanding potential than conventional ceramic dielectrics. Eventually, the glass matrix maintains high breakdown strength and can effectively stabilize nanocluster phases. So, we consider the present glass sample to be a good candidate for capacitive energy storage applications.