bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fabricating Microstructures on Freeform Surfaces via Flexible Hydrogel Micromolds
Authors: Zhu Pang , Hosneolfat Zahra , Nekoonam Niloofar , Bhagwat Sagar , Helmer Dorothea , Rapp Bastian E. 
Published: February 2025

AbstractFabricating microstructures on curved surfaces is of great importance in several engineering fields, and it is an ongoing challenge to develop technologies that do not require complicated devices and cumbersome procedures. A novel approach is presented for fabricating microstructures with different topographies on curved surfaces using flexible microstructured hydrogels as molds. The hydrogel film is first microstructured via spatially controlled ultraviolet illumination utilizing its photo‐responsive property. The microstructured hydrogel film is then transferred to a desired surface. Due to its low modulus, the hydrogel film can be adapted to the curved surfaces including semi‐cylindrical and semi‐spherical surfaces as well as freeform surfaces with both convex and concave features. The final freeform surfaces with microstructures are obtained by polydimethylsiloxane (PDMS) casting. The resulting microstructures show high uniformity and high surface smoothness with an average roughness (Ra) ≈2.7 nm and a root mean square roughness (Rq) ≈4.1 nm. The ability to fabricate microstructures on large‐area curved surfaces of ≈4.5 cm by 6.5 cm is demonstrated. Finally, it is shown that the fabricated microstructures allow good imaging performance. This method utilizes the hydrogel's photo‐responsive ability to construct flexible molds and flexibility to adapt to freeform surfaces, thereby allowing significantly simplified fabrication processes.
Fluoride Graphdiyne Enhances Polymer Electrolytes Through Regional Electric Potential Synergies for High‐Performance Solid‐State Lithium‐Metal Batteries
Authors: Wang Kaihang , Jiang Chao , Zhang Luwei , Yang Ze , Zhang Chunfang , Wang Ning 
Published: February 2025

AbstractSolid‐state polymer electrolytes (SSPEs) have attracted considerable attention for use in all‐solid‐state lithium‐metal batteries (ASSLMBs). However, their low Li‐ion conductivity, small Li‐ion transference number, and poor interfacial compatibility hinder their practical application, which may be associated with the uncoordinated interactions between the key components in SSPEs including polymers, lithium salts, and nanofillers. In this study, fluoride graphdiyne (FGDY) is used as a nanofiller to enhance the overall performance of PVDF‐HFP/LiTFSI in ASSLMBs through regional electric potential synergies (REPS), which refers to the proper interaction between particular ordered electric potential difference regions in the 2D plane and key components of SSPEs. Consequently, the dissociation of LiTFSI is promoted, and the migration of Li‐ions is accelerated. Moreover, a uniform LiF‐rich solid electrolyte interphase efficiently inhibits the growth of lithium dendrites, guaranteeing excellent interfacial stability. The assembled Li//LiFePO4 and Li//LiNi0.6Co0.2Mn0.2O2 full cells exhibit excellent reversible capacity and stable cycling performance at 30 °C. This study presents a strategy for improving the overall performance of SSPEs by fabricating nanofillers with highly ordered electric potential difference regions. Graphdiyne‐based materials, which serve as nanofillers to optimize the performance of SSPEs through REPS, provide a wide scope for the practical application of ASSLMBs.
Enhancing the Thermoelectric Performance of Sustainable Cellulose‐Based Ionogels Through Water Content Regulation
Authors: Chen Xuhui , Lin Yue , Chen Binxia , Duan Ruoxuan , Zhou Zehang , Lu Canhui 
Published: February 2025

AbstractIonogels are widely studied as promising ionic thermoelectric (i‐TE) materials to harvest low‐grade waste heat into electrical energy due to their huge thermopower and good ionic conductivity, providing a feasible way to sustainable development. Herein, a p‐type i‐TE cellulose ionogel (CIG) based on Soret effect is prepared by dissolving cellulose in an ionic liquid (IL) and subsequent water‐absorbing induced gelation. Its morphological structure and IL distribution are intuitively investigated through cryo‐focused ion beam‐scanning electron microscope. Experimental characterizations and molecular dynamic simulation studies elucidate that the regulation of water content induces the hydration of 1‐butyl‐3‐methylimidazolium cation and the swelling of CIG, which greatly promotes the ions diffusion and expands the difference in mobility between anions and cations. The proposed CIG exhibits superior thermoelectric properties: an ionic conductivity of 51.2 mS cm−1, an ionic Seebeck coefficient of 20.7 mV K−1, and an ionic figure of merit zTi of 2.36 at 30 °C, respectively. A CIG‐based i‐TE device is designed and assembled to demonstrate its great potential for wearable body heat‐to‐electricity conversion. The cellulose skeleton in CIG is completely biodegradable in nature and the used IL is recyclable and reusable, providing a green and sustainable strategy for energy harvesting.
An Approach to Develop Correct‐by‐Construction Business Process Models Using a Formal Domain Specific Language
Authors: Bendaly Hlaoui Yousra , Ayari Salma 
Published: February 2025

ABSTRACTAs the size and the complexity of business process models are an important driver of error probability, it is recommended to split large models into smaller models. Hence, we propose, in this paper, to develop business process models by refinement. A refinement is a transformation of a source model to a target model expressed in the same modeling language. This transformation should preserve the semantics of the source model to provide semantically correct target model. Thus, we propose, in this paper, a domain specific language based on Business Process Model and Notation (BPMN) language for developing by refinement business process models correct‐by‐construction. Hence, we propose (i) a formal syntax throughout a context‐free grammar , (ii) axiomatic semantics to ensure the refinement correction when building business process models, (iii) operational semantics in terms of Kripke structure permitting formal verification of provided models to check their reliability. The Kripke structure supports the verification of behavioral requirements represented by the Computational Tree Logic (CTL) temporal logic and verified by NuSMV model checker. Based on these semantics, we prove the validity of the compiler that we have developed to assist developers when building their correct models and to transform these models to NuSMV code to prove their reliability.
In‐Situ Monitoring the Magnetotransport Signature of Topological Transitions in a Chiral Magnet
Authors: Thomas Andy , Pohl Darius , Tahn Alexander , Schlörb Heike , Schneider Sebastian , Kriegner Dominik , Beckert Sebastian , Vir Praveen , Winter Moritz , Felser Claudia , Rellinghaus Bernd 
Published: February 2025

AbstractEmerging magnetic fields related to the presence of topologically protected spin textures such as skyrmions are expected to give rise to additional, topology‐related contributions to the Hall effect. In order to doubtlessly identify this so‐called topological Hall effect, it is crucial to disentangle such contributions from the anomalous Hall effect. This necessitates a direct correlation of the transversal Hall voltage with the underlying magnetic textures. A novel measurement platform is developed that allows to acquire high‐resolution Lorentz transmission electron microscopy images of magnetic textures as a function of an external magnetic field and to concurrently measure the (anomalous) Hall voltage in‐situ in the microscope on one and the same specimen. This approach is used to investigate the transport signatures of the chiral soliton lattice and antiskyrmions in Mn1.4PtSn. Notably, the observed textures allow to fully understand the measured Hall voltage without the need of any additional contributions due to a topological Hall effect, and the field‐controlled formation and annihilation of anstiskyrmions are found to have no effect on the measured Hall voltage.
InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA
Authors: Algis David , Bramas Berenger , Darles Emmanuelle , Aveneau Lilian 
Published: February 2025

ABSTRACTIntroductionUnity is a powerful and versatile tool for creating real‐time experiments. It includes a built‐in compute shader language, a C‐like programming language designed for massively parallel General‐Purpose GPU (GPGPU) computing. However, as Unity is primarily developed for multi‐platform game creation, its compute shader language has several limitations, including the lack of multi‐GPU computation support and incomplete mathematical libraries.ContributionTo address these limitations, GPU manufacturers have developed specialized programming models, such as CUDA and HIP, which enable developers to leverage the full computational power of modern GPUs. This article introduces an open‐source tool designed to bridge the gap between Unity and CUDA, allowing developers to integrate CUDA's capabilities within Unity‐based projects.MethodsThe proposed solution establishes an interoperability framework that facilitates communication between Unity and CUDA. The tool is designed to efficiently transfer data, execute CUDA kernels, and retrieve results, ensuring seamless integration into Unity's rendering and computation pipeline.ResultsOur tool extends Unity's capabilities by enabling CUDA‐based computations, overcoming the inherent limitations of Unity's compute shader language. This integration allows developers to exploit multi‐GPU architectures, leverage advanced mathematical functions, and enhance computational performance for real‐time applications.
Examining Power in Picturebook Biographies
Authors: Chung Sunah , Chaudhri Amina 
Published: February 2025

ABSTRACTThis study was developed in response to the National Council of Teachers of English (NCTE) position statement elevating the use of nonfiction literature in the K‐12 curriculum. Using an intersectional, critical multicultural lens, we examined award‐winning picturebook biographies for their potential to invite examination of the concept of power following two guiding questions: “how do subjects acquire power?” and “how do subjects use their power?” The findings show that most subjects of biographies are depicted as having intrinsic power that comes from within and is used to pursue a personal dream. A smaller number of books depict subjects as having collective power, acquired within the contexts of their communities and subsequently using their power to uplift their communities. The teaching implications include suggestions for unpacking abstract ideas about power through picturebook biographies in tangible ways with elementary grade readers.
The Roots and Ramifications of Criminology’s Progressive Ethos: Navigating Theory, Practice, and Politics
Authors: Aebi Marcelo F. 
Published: February 2025

Abstract
This chapter examines the complex relationship between criminology and progressivism, tracing its intellectual foundations from the Enlightenment to contemporary debates in the field. It argues that criminology’s progressive ethos, rooted in Enlightenment principles of reason, empirical evidence, and social improvement, has fundamentally shaped the discipline’s development while creating tensions between different approaches to crime reduction. The chapter identifies two main contemporary criminological traditions that emerged in the 1970s: reform-oriented criminology, exemplified by Marxist and critical approaches that seek radical social transformation, and problem-solving criminology, represented by opportunity-based theories focusing on practical interventions. Through an analysis of these competing perspectives, the chapter shows how both approaches, despite their methodological and ideological differences, share a fundamental commitment to social progress. Using the debate surrounding the 1990s crime drop in the United States as a case study, the author illustrates how ideological biases can influence criminological analysis and interpretation of evidence. The chapter argues that reform-oriented criminologists often dismiss evidence supporting police effectiveness due to ideological reservations, while problem-solving criminologists may overlook broader social factors in favor of immediate tactical solutions. The author concludes that advancing criminological knowledge requires recognizing the complementary nature of these approaches rather than treating them as mutually exclusive. This synthesis suggests that effective crime prevention requires both systemic social reforms and practical situational interventions, highlighting the need for methodological pluralism in criminological research. The chapter ultimately calls for a more nuanced understanding of progress in criminology that bridges theoretical divides while maintaining scientific rigor.
Observing, Measuring, and Researching Cybercrime: A Scoping Review of Systematic Reviews Since 2010s
Authors: Caneppele Stefano 
Published: February 2025

Abstract
This chapter examines the definitions of cybercrime and the research approaches employed to study it, focusing on data types and analytical methods identified in manuscripts included in systematic reviews published between January 1, 2011, and December 31, 2021. The aim is to provide a comprehensive overview of scholarly efforts to study and empirically measure cybercrime and test hypotheses in recent years. Specifically, the chapter delves into the types of data utilized and the analytical techniques applied in cybercrime research. The majority of empirical studies on cybercrime have been published in journals across a range of disciplines, reflecting the broad interest that the emergence of cybercrime has generated within the scientific community. The results show that most studies rely on surveys with limited sample sizes, raising concerns about generalizability. It identifies commonly studied cybercrimes, tested theories, and the data and methods used. However, contributions from criminologists to this field have been relatively limited. That said, there is a growing recognition of the importance of cybercrime within criminology, and an increasing number of criminologists are now engaging with this subject. These scholars are grappling with challenges related to defining and measuring cybercrime—issues that are particularly pronounced in the social sciences when addressing novel and rapidly evolving phenomena. While progress has been made in understanding cybercrime, significant gaps remain in empirical measurement and theoretical conceptualization. Continued research investment and evolving statistical systems are essential for better capturing and analyzing cybercrime trends.
State-of-the-Art and Related Work
Authors: Muff Fabian 
Published: February 2025

Abstract
This chapter introduces the state-of-the-art in research and industry in the areas relevant to this book. In addition, related work is introduced. The chapter is structured as follows. Section 2.1 introduces the foundations of the modeling area, including conceptual modeling, enterprise modeling, and metamodeling. Section 2.2 presents the foundations for extended reality. This includes introductions to virtual reality, augmented reality, and the metaverse, as well as some distinctions of the different technologies in the context of this work. Section 2.3 discusses related work by showing the finding of a comprehensive literature analysis.
ARWFMM: A Modeling Method as an Example for Knowledge-Based Virtual and Augmented Reality
Authors: Muff Fabian 
Published: February 2025

Abstract
Parts of this chapter have been published in a similar form as a research paper in: Conceptual Modeling. ER 2023. Lecture Notes in Computer Science, vol 14320 with the title:
A Domain-Specific Visual Modeling Language for Augmented Reality Applications Using WebXR
(Muff and Fill 2023c).
M2AR: An Architecture for a 3D Enhanced Metamodeling Platform for Extended Reality
Authors: Muff Fabian 
Published: February 2025

Abstract
As stated in the previous chapter’s conclusion, two-dimensional (2D) metamodeling platforms such as ADOxx (see Sect. 5.2.2) are not suitable for modeling three-dimensional augmented reality (AR) applications, such as modeling with the newly introduced Augmented Reality Workflow Modeling Method (ARWFMM). However, not only for visual modeling of AR scenarios, such 2D metamodeling platforms come to their limits. Taking again into account the derived use cases for extended reality applications combined with conceptual modeling in Chap. 3, it becomes clear that the traditional 2D approach is not sufficient here either.
Prototypical Realization of the M2AR Metamodeling Platform
Authors: Muff Fabian 
Published: February 2025

Abstract
This chapter shows how the first prototype of the proposed M2AR metamodeling platform looks. The chapter is structured as follows. First, the technology stack used will be introduced (Sect. 7.1). Then, the different parts that have been implemented will be shown, including the database (Sect. 7.2), the Global Shared Datastructure (Sect. 7.3), the API Server Module (Sect. 7.4), as well as the Instance Modeling Client (Sect. 7.5).
Evaluation of the M2AR Platform Prototype
Authors: Muff Fabian 
Published: February 2025

Abstract
This chapter evaluates three different aspects of the M2AR platform. First, it includes a comparative evaluation of the global generic- and specific requirements (see Chaps. 3 and 4), against the first implementation of the metamodeling platform M2AR (see Chaps. 6 and 7), and against the first implementations of the Augmented Reality Workflow Modeling Method (ARWFMM) language implemented on M2AR. This is followed by a demonstration of M2AR and its ARWFMM implementation, and third, an empirical evaluation of the comprehensibility of the ARWFMM and its language concepts.
Seasonal dynamics of Hildenbrandia rubra in a Mediterranean marine cave: insights into the algal community and biodiversity
Authors: Iluz David , Barinova Sophia , Mayer Danielle , Golstein Efrat , Cherniavska Elena , Alster Alla , Dubinsky Zvy , Abu-Ghosh Said 
Published: February 2025

Abstract
Marine caves, often overlooked hotspots of biodiversity, provide unique habitats for specialized species. Located on the Mediterranean coast, Rosh HaNiqra is a midlittoral cave renowned for its vibrant epilithic algal community. In the study reported here, we explored the light environment, algal composition, and ecological dynamics of the Rosh HaNiqra cave. Light measurements revealed that illumination in the cave ranged from 0.5 to 2.5% of the sunlight recorded at the mouth of the cave, with variations across seasons and times of day, peaking during summer, and an increase in red wavelengths towards sunset. Biodiversity assessments, including rbcL gene sequencing studies, identified Hildenbrandia rubra (red alga) as the principal alga, together with Blidingia dawsonii (green alga), cyanobacteria, and mosses, forming a “Balcony of Colors”. The cave's conditions were found to be most favorable for H. rubra in the autumn through early winter, when the cave provides a critical refuge where this alga thrives in stable, low-light conditions, demonstrating high photosynthetic efficiency even in reduced light. Our study of algal distribution showed seasonal fluctuations, with peak coverage during warmer months and a decline in winter. This study not only deepens our understanding of Rosh HaNiqra's cave ecosystem but also provides an essential baseline for future ecological and conservation research in marine caves.
Targeting the sigma-1 receptor with pridopidine induces functional neurorestoration in spinal cord ischemia-reperfusion injury
Authors: Sweed Eman , Khodir Suzan A. , Motawea Shaimaa Mohamed , El-Haron Hala , Mostafa Basma Abdelnaby , Elkholy Mona S. , Salim Mohammud , Shebl Doaa Z. M. 
Published: February 2025

Abstract
Spinal cord ischemia reperfusion injury (IRI) occurs with an incidence of 1–32%, often leading to paraplegia with limited prevention options. Pridopidine (Prdpn), a highly selective sigma-1 receptor (Sig-1R) agonist, serves as a protein chaperone that is engaged in neuroplasticity and cellular defense. This research aimed to assess the neuroprotective properties of Prdpn in spinal cord IRI in rats and investigate the underlying mechanisms. Forty male Wistar albino rats were randomly allocated into 4 groups: control, sham, IRI, and IRI + Prdpn. Tarlov’s test was used to examine behavioral performance, as well as withdrawal from agonizing stimuli and the placing/stepping reflex (SPR). Biochemical markers, including spinal malondialdehyde (MDA), AOPP, antioxidant GPX, TNF-α and IL-1β, and apoptotic caspase-3, were measured, along with BDNF, GDNF, and Sig-1R gene expression. Histopathological changes in spinal cord tissue were also evaluated. Spinal cord IRI significantly caused neurological deficits, evidenced by lower scores in Tarlov’s test, withdrawal from agonizing stimuli, and SPR. Biochemically, spinal cord IRI led to decreased GPX and increased MDA, AOPP, TNF-α, IL-1β, caspase-3, and GDNF levels, along with downregulated BDNF and Sig-1R gene expression. Histopathologically, spinal cord IRI resulted in greater spinal neuronal degeneration, apoptosis, and demyelination. However, treatment with Prdpn significantly improved behavioral outcomes and partially reversed the biochemical and histopathological alterations. Prdpn improved spinal cord IRI-induced behavioral deficits through its antioxidant, anti-inflammatory, anti-apoptotic, and neurotrophic properties. It suggests promise as a potential treatment option to stop spinal cord IRI.
Polyethylene terephthalate nanoplastics-induced neurotoxicity in adult male Swiss albino mice with amelioration of betaine: a histopathological, neurochemical, and molecular investigation
Authors: Kamel Nehal A. , Bashir Dina W. , El-Leithy Ebtihal M. M. , Tohamy Adel F. , Rashad Maha M. , Ali Ghada E. , El-Saba Abdel Aleem A. 
Published: February 2025

Abstract
Medicines, food packaging, personal care products, and cosmetics extensively use polyethylene terephthalate nanoplastics (PET-NaPs). However, they also have harmful impacts on several organs. Betaine demonstrates potent antioxidant and anti-inflammatory characteristics. Our goal was to investigate the detrimental impact of PET-NaPs on the mouse brain and evaluate the neuroprotective properties of betaine. We allocated 40 completely mature male Swiss albino mice into four distinct groups: control group, betaine group, PET-NaPs group, and betaine-co-treated group. Following a 30-day duration, euthanasia was performed on the mice, and analyzed tissue samples were obtained from the cerebrum, cerebellum, and hippocampus. PET-NaPs resulted in an elevated level of malondialdehyde and upregulated cyclooxygenase-2 and interleukin-1 beta (IL-1β) expression while significantly reducing the levels of glutathione and downregulating acetylcholinesterase. The PET-NPs also caused significant changes in the histopathology of the brain tissue, and there was a demonstrable rise in the immunostaining of IL-1β and glial fibrillary acidic proteins. Consequently, betaine effectively alleviated the negative consequences of PET-NaPs. Therefore, betaine possesses the capacity to mitigate the neurotoxic consequences induced by PET-NaPs.