bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flexible Triboelectric Nanogenerator Patch for Accelerated Wound Healing Through the Synergy of Electrostimulation and Photothermal Effect
Authors: Wang Zhuo , Hu Quanhong , Yao Shuncheng , Wang Shaobo , Liu Xi , Zhang Cuiping , Wang Zhong Lin , Li Linlin 
Published: January 2025

AbstractPhysiological wound healing process can restore the functional and structural integrity of skin, but is often delayed due to external disturbance. The development of methods for promoting the repair process of skin wounds represents a highly desired and challenging goal. Here, a flexible, self‐powered, and multifunctional triboelectric nanogenerator (TENG) wound patch (e‐patch) is presented for accelerating wound healing through the synergy of electrostimulation and photothermal effect. To fabricate the triboelectric e‐patch, a flexible and conductive hydrogel with a dual network of polyacrylamide (PAM) and polydopamine (PDA) is synthesized and doped with multi‐walled carbon nanotubes (MCNTs). The hydrogel exhibits high conductivity, good stretchability, and high biocompatibility. The triboelectric e‐patch assembled from the hydrogel can detect mechanical and electrical signals of human motions in a real‐time manner. In a rodent model of full‐thickness dorsal skin wound, the e‐patch integrating self‐driven electrostimulation and photothermal effect under the near‐infrared light irradiation efficiently promotes wound repair and hair follicle regeneration through relieving inflammation, fastening collagen deposition, vascular regeneration, and epithelialization. It offers a promising way to accelerate wound healing.
Atypical magnetic resonance imaging features and resolution following meglumine antimoniate therapy in a dog with Leishmania infantum infection
Authors: Nappo Dario , Palizzotto Carlo , Andreis Maria Elena , Zini Eric , Diana Alessia 
Published: January 2025

AbstractA 5‐year‐old, female, mixed‐breed dog, undergoing therapy for leishmaniasis with allopurinol (10 mg/kg, twice daily) and marbofloxacin (2 mg/kg, daily), presented with hyperthermia and thoracolumbar pain. Thoracolumbar magnetic resonance imaging revealed paravertebral multifocal myopathy and polyostotic vertebral lesions; the latter was not identified with computed tomography. Based on clinical signs, laboratory findings and imaging results, a relapse of leishmaniasis was diagnosed. Treatment with oral allopurinol (10 mg/kg, twice daily), intramuscular meglumine antimoniate (10 mg/kg, daily) and oral prednisolone (1 mg/kg, daily) was initiated. After 4 days, hyperthermia and thoracolumbar pain were resolved. Six months later, the dog showed complete recovery, and follow‐up magnetic resonance imaging revealed almost complete resolution of vertebral and muscular lesions. Bone marrow polymerase chain reaction for Leishmania infantum was negative, and although the antibody titer remained above the reference range, it decreased. This case represents the first instance of presumptive magnetic resonance imaging vertebral lesions not detected at computed tomography examination in a dog with leishmaniasis.
The AI Scrum Master: Using Large Language Models (LLMs) to Automate Agile Project Management Tasks
Authors: Alliata Zorina , Singhal Tanvi , Bozagiu Andreea-Madalina 
Published: January 2025

AbstractThere is a high demand across industries for intelligent devices to automate and optimize processes. Generative AI has soared in popularity and it is the first AI technology to be used by everyone. It is already automating junior-level office work, as well as highly complex creative tasks. This paper studies how Generative AI can automate some of the Agile project management tasks, such as reporting and creating requirements that correctly cover the scope.
Towards Improving Behavior-Driven Development and Acceptance Testing-Driven Development Teaching in a University Project Course
Authors: Filipovic Marina , Gilson Fabian 
Published: January 2025

AbstractBehavior-Driven Development (BDD) improves the collaboration between developers and stakeholders following agile software development practices. Acceptance Test-Driven Development (ATDD) is an extension of BDD where requirements are accompanied by automated acceptance tests, translating functional acceptance criteria linked to requirements. While BDD and ATDD have been successfully applied in industry, few universities report on teaching BDD and ATDD principles as part of their curriculum. However, there is a need for education providers to teach industry-relevant practices so that junior developers’ skills are better aligned to industry’s expectations. Therefore, we report on how BDD and ATDD techniques have been taught in a two-semester software engineering project, including (i) the lack of observed evidence on the implications of applying BDD and ATDD on the functional suitability of software products, (ii) the lack of engagement with BDD and ATDD from students, and (ii) recommendations to educators to improve students’ engagement with these practices.
Digital Twin Adapted Agile Software Development Life Cycle
Authors: Jaber Mariam , Karakra Abdallah , Alsadeh Ahmad , Taweel Adel 
Published: January 2025

AbstractDigital Twin (DT) stands as the premier technology within Industry 4.0 used in multiple sectors. Although there has been considerable recent literature on DT, there has been limited focus on the life cycle methodologies for its development. Lacking a well-defined process can significantly complicate DT development. This paper proposes an augmented Agile Software Development Life Cycle as a methodology for DT development.
Analyzing the Impact of Constant Feedback on Hybrid Agile Team Performance: Preliminary Results
Authors: Awan Wardah Naeem , Salman Iflaah 
Published: January 2025

AbstractThis study investigates the impact of constant feedback in enhancing hybrid scrum team performance from a case study conducted with 24 undergraduate students organized in three teams. This research uses self-perceived performance surveys to identify factors that affect team performance. The objective is to enhance team performance by providing timely feedback for reflection and improvement based on identified challenges. Preliminary findings revealed that constant feedback, facilitated by self-perceived performance surveys after each sprint cycle, enables teams to address identified challenges and enhance performance progressively. This highlights the significance of timely feedback in enhancing team performance and productivity. Future work involves leveraging AI tools to analyze communication data collected throughout the study to understand well-being factors and their influence on a team’s performance and productivity.
The Legal Framework for New Digital Assets, Identities, and Data Spaces. Introduction
Authors: Pastor Sempere Carmen 
Published: January 2025

AbstractThe Internet has significantly transformed society, fostering technological literacy and reshaping business transactions through advancements like blockchain and distributed ledger technologies (DLT). Traditional business concepts are evolving as users increasingly engage with digital identities and smart contracts. This introductory chapter outlines the legal frameworks for emerging digital assets, identities, and the Internet of Value, with a focus on the European context, particularly Spain. Despite the rise of Big Tech, which centralises data, there are persistent trends towards decentralisation, exemplified by peer-to-peer networks and blockchain. These developments raise concerns about the monopolisation of digital infrastructure and the potential need for a “new social contract” regarding digital identity and ownership. Regulatory frameworks must adapt to address the unique legal and security challenges posed by cryptocurrencies and digital assets. As Europe navigates this transformation, initiatives like the Markets in Crypto-assets Regulation (MiCA) and the Digital Euro Package aim to create coherent legal structures. This work emphasises the importance of securing trust in the digital economy while considering the implications of emerging technologies and the evolving landscape of digital finance.
Regulating Market Abuse in Crypto Assets
Authors: Echebarría Sáenz Marina 
Published: January 2025

AbstractArticles 86 to 92 of MiCA promote a simplified regime to control unlawful disclosure, insider dealing and possible manipulation or market abuses in issuing and trading crypto assets. The tendency to assimilate the regulation with the regulatory background of the ordinary financial market is hardly avoidable. However, the most coherent option is probably to use these references as an ex-post mechanism and not as ex-ante requirements when the ESMA guidelines don’t declare analogous application of Market Abuse Regulations.
Current and Future Central Bank Digital Currency (CBDC) Projects
Authors: Sanz Bayón Pablo 
Published: January 2025

AbstractCentral Bank Digital Currencies (CBDCs) are monetary projects of digital public money at different stages of development, whose issuance corresponds to central banks. It is a digital representation of money with fiat currency’s legal nature. Still, like cash, and unlike electronic bank money, it has the guarantee of a central bank and not a deposit guarantee fund. This means that the monetary authority is responsible for the conditions of its issuance, distribution and value, as well as the network or infrastructure that supports its operation and possible programmability, whether retail (rCBDC) or wholesale (wCBDC). Among the most important examples of CBDC projects are the Chinese digital yuan and the digital euro, the latter still undergoing the study (or preparation) phase by the European Central Bank. The objective of this paper is to carry out a conceptual and comparative study on the development of these and other CBDC projects, providing a regulatory analysis of the consequences that the implementation of this new monetary and technological reality will bring to the banking system, as well as the impact that these digital currencies have on the banking market, the protection of users and their relationship with the rest of the Fintech environment. It will also discuss some of the initiatives taking place at the international level, such as the projects within the BIS Innovation Hub to address different issues that will define the final configuration of CBDCs in the near future.
The Non-Financial Crypto-Asset Market: Copyright in Art Non-Fungible Tokens
Authors: Carbajo Cascón Fernando 
Published: January 2025

AbstractThe market for the sale of art-NFTs is a reality, but due to their diffuse legal nature, there are many doubts about this business model from a legal perspective. This raises uncertainties as to whether it is possible to recognise a property right over the NFT as a digital asset and an online distribution rights model, where the principle of exhaustion is recognised from the intellectual property law perspective.
‘Human Digital Twins’ and Blockchain: Some Challenges and Solutions for Digital Identity and Privacy
Authors: Vera-Arenas Cristian Javier 
Published: January 2025

AbstractThis chapter examines the integration of two significant technological developments: the ‘Human Digital Twins’ (HDT) and blockchain technology, focusing on their applications and implications for digital identity and privacy management. HDTs represent an advanced form of digital replicas that encapsulate an individual’s physical, behavioural and psychological characteristics when using multimodal and multisource data. Their implementation promises to revolutionise interaction with the digital world, offering benefits in sectors as varied as personalised medicine and digital identity management.On the other hand, the blockchain provides a decentralised and secure platform for data management, offering robust solutions to the persistent challenges of privacy and security in a digitally connected world. The convergence of HDT with blockchain technology has the potential to enhance the security and privacy of personal data and radically transform existing methodologies in identity verification, system interoperability and personal data management within regulatory frameworks.This analysis is further explored by exploring HDT’s architecture, the challenges inherent in its implementation, and the unique opportunities it offers for advanced identity and privacy management. In addition, case studies are discussed, and future trends and emerging challenges in this dynamic field are outlined.
Note on the variance of generalized random polygons
Authors: Fodor Ferenc , Grünfelder Balázs 
Published: January 2025

AbstractWe consider a probability model in which the hull of a sample of i.i.d. uniform random points from a convex disc K is formed by the intersection of all translates of another suitable fixed convex disc L that contain the sample. Such an object is called a random L-polygon in K. We assume that both K and L have $$C^2_+$$

C
+
2

smooth boundaries, and we prove upper bounds on the variance of the number of vertices and missed area of random L-polygons assuming different curvature conditions. We also transfer some of our result to a circumscribed variant of this model.
Influence of radiotherapy on cardiac implantable devices and leads—a single-institution analysis and critical evaluation of current guidelines
Authors: Warmbrunn Jakob , Straube Christoph , Haase Hans-Ulrich , Sinnecker Daniel , Laugwitz Karl-Ludwig , Combs Stephanie E. , Schneider Simon , Habermehl Daniel 
Published: January 2025

Abstract
Purpose
Increasing life expectancy and advances in cancer treatment will lead to more patients needing both radiation therapy (RT) and cardiac implantable electronic devices (CIEDs). CIEDs, including pacemakers and defibrillators, are essential for managing cardiac arrhythmias and heart failure. Telemetric monitoring of CIEDs checks battery status, lead function, settings, and diagnostic data, thereby identifying software deviations or damage. This study evaluates the German Society for Radiation Oncology (DEGRO)/German Society for Cardiology (DGK) guideline, assessing real-world complications and risk factors and analyzing pacemaker and implantable cardioverter-defibrillator (ICD) lead function for their predictive value concerning device malfunction.

Methods
A total of 54 patients with pacemakers or ICDs who underwent radiation therapy were identified. Demographics, treatment courses, and device information from physical and digital records were extracted. DEGRO/DGK risk groups and pacemaker dependency at the start of RT were assessed. Delineation of the devices and lead insertion sites was performed in the treatment planning system. Dosimetric information from the treatment plans was then correlated with reports of standardized device checks.

Results
Over 80% of patients were treated with dual-chamber pacemakers or cardiac resynchronization therapy (CRT), and 16.7% had ICDs. One third of patients were pacemaker dependent. 59.3% of patients were in the low-risk category, 29.3% in the medium-risk, and 11.1% in the high-risk category. Thoracic irradiation resulted in the highest median dose to devices. Lead parameter deviations exceeding thresholds were found in 14.8% for the stimulation threshold and 13.5% for sensing. Device malfunctions occurred in 3.7% of cases, both involving electrical resets and neutron-producing radiation (beam energy 10 megaelectron volt (MV) or higher).

Conclusion
Collecting lead parameters in addition to secure malfunctions like electrical restarts and memory erasure revealed a significant proportion of treatment courses with temporary changes, though no correlation with individual treatment plans or adverse events was found. The focus on reducing neutron-producing radiation could be further supported.
Nonparametric CUSUM change-point detection procedures based on modified empirical likelihood
Authors: Wang Peiyao , Ning Wei 
Published: January 2025

AbstractSequential change-point analysis, which identifies a change of probability distribution in a sequence of random observations, has important applications in many fields. A good method should detect the change point as soon as possible, and keep a low rate of false alarms. As an outstanding procedure, Page’s CUSUM rule holds many optimalities. However, its implementation requires the pre-change and post-change distributions to be known which is not achievable in practice. In this article, we propose a nonparametric-CUSUM procedure by embedding different versions of empirical likelihood by assuming that two training samples, before and after change, are available for parametric estimations. Simulations are conducted to compare the performance of the proposed methods to the existing methods. The results show that when the underlying distribution is unknown and training sample sizes are small, our modified procedures exhibit advantages by giving a smaller delay of detection. A well-log data is provided to illustrate the detection procedure.
Evaluation of four different standard addition approaches with respect to trueness and precision
Authors: Gössler Gerhard , Hofer Vera , Goessler Walter 
Published: January 2025

Abstract
This work provides a statistical analysis of four different approaches suggested in the literature for the estimation of an unknown concentration based on data collected using the standard addition method. These approaches are the conventional extrapolation approach, the interpolation approach, inverse regression, and the normalization approach. These methods are compared under the assumption that the measurement errors are normally distributed and homoscedastic. Comparison is done with respect to the two most important characteristics of every estimator, namely trueness (bias) and precision (variability). In addition, the authors supply, if not already available, mathematical formulas to approximate both quantities. Also, a real-world data set is used to illustrate the performance of all four methods. It turns out, that, given that all assumptions underlying the use of the standard addition method apply, the common extrapolation method is still the most recommendable method with respect to bias and variability. Nonetheless, if additional concerns come into play, other methods like, for example, the normalization approach in the case of increased problems with outliers might also be of interest for the practitioner.

Graphical abstract
Das Tageshospiz – eine neue Möglichkeit der ambulanten palliativmedizinischen Versorgung
Authors: Kaiser Ulrich , Kaiser Florian , Kaiser Felix , Fiedler Moritz , Hoffmann Ana , Vehling-Kaiser Ursula 
Published: January 2025

ZusammenfassungEs bestehen hinsichtlich der sozialen Isolation und der gesellschaftlichen Reintegration von Palliativpatienten immer noch Defizite in der palliativmedizinischen Versorgung. Zusätzlich dürfen auch die Probleme der pflegenden Angehörigen nicht unberücksichtigt bleiben. Das in Deutschland noch recht junge Versorgungsmodell Tageshospize könnte diesen Problemen entgegenwirken, erfordert aber bestimmte Voraussetzungen (u. a. personell, strukturell, inhaltlich). Einheitliche Zertifizierungen für Tageshospize in Deutschland stehen zurzeit noch aus. Erste Empfehlungen existieren zwar bereits, weitere wissenschaftliche Untersuchungen und Begleitprogramme zum Verlauf und den Erfahrungswerten von Tageshospizen sind jedoch notwendig.
Evaluating smartphone-based 3D imaging techniques for clinical application in oral and maxillofacial surgery: A comparative study with the vectra M5
Authors: Hartmann Robin , Weiherer Maximilian , Nieberle Felix , Palm Christoph , Brébant Vanessa , Prantl Lukas , Lamby Philipp , Reichert Torsten E. , Taxis Jürgen , Ettl Tobias 
Published: January 2025

Abstract
Purpose
This study aimed to clarify the applicability of smartphone-based three-dimensional (3D) surface imaging for clinical use in oral and maxillofacial surgery, comparing two smartphone-based approaches to the gold standard.

Methods
Facial surface models (SMs) were generated for 30 volunteers (15 men, 15 women) using the Vectra M5 (Canfield Scientific, USA), the TrueDepth camera of the iPhone 14 Pro (Apple Inc., USA), and the iPhone 14 Pro with photogrammetry. Smartphone-based SMs were superimposed onto Vectra-based SMs. Linear measurements and volumetric evaluations were performed to evaluate surface-to-surface deviation. To assess inter-observer reliability, all measurements were performed independently by a second observer. Statistical analyses included Bland–Altman analyses, the Wilcoxon signed-rank test for paired samples, and Intraclass correlation coefficients.

Results
Photogrammetry-based SMs exhibited an overall landmark-to-landmark deviation of M = 0.8 mm (SD =  ± 0.58 mm, n = 450), while TrueDepth-based SMs displayed a deviation of M = 1.1 mm (SD =  ± 0.72 mm, n = 450). The mean volumetric difference for photogrammetry-based SMs was M = 1.8 cc (SD =  ± 2.12 cc, n = 90), and M = 3.1 cc (SD =  ± 2.64 cc, n = 90) for TrueDepth-based SMs. When comparing the two approaches, most landmark-to-landmark measurements demonstrated 95% Bland–Altman limits of agreement (LoA) of ≤ 2 mm. Volumetric measurements revealed LoA > 2 cc. Photogrammetry-based measurements demonstrated higher inter-observer reliability for overall landmark-to-landmark deviation.

Conclusion
Both approaches for smartphone-based 3D surface imaging exhibit potential in capturing the face. Photogrammetry-based SMs demonstrated superior alignment and volumetric accuracy with Vectra-based SMs than TrueDepth-based SMs.
Salinity-dependent effects of integrated biofloc technology on reproductive performance, biological responses, and offspring quality in red tilapia aquaculture
Authors: Sallam Ghada R. , Basuini Mohammed F. El , Fahmy Amal F. , Al-Absawey Mohamed A. , Habib Yusuf Jibril , Mustafa Rahma Ahmed , Fayed Walied M. , El-Sayed Abdel-Fattah M. , Shehata Akram Ismael 
Published: January 2025

Abstract
The study aims to evaluate the reproductive performance, serum biochemical indices, growth, antioxidant capacity, and immune response of Florida Red Tilapia (Oreochromis sp.) progeny reared at different salinity levels within biofloc technology (BFT) systems, focusing on egg production, fertilization rates, tolerance to oxidative stress, and offspring performance. Broodstock reared in biofloc systems (BF) were compared to those in clear water (Without biofloc, WBF) across three salinity levels (18, 28, and 36‰) over a 7-month period. The study also assessed the tolerance of fry reared in biofloc systems to direct transfer to high salinity (36‰) without prior acclimatization. A total of 216 females (initial body weight: 182 ± 1.8 g) and 72 males (initial body weight: 201 ± 0.88 g) were randomly assigned to 18 concrete tanks (2 × 6 × 1 m) to investigate the effects of BFT on spawning performance and larval survival under high-salinity conditions. The findings indicated that appropriate salinity (18‰) in BFT systems positively affected reproductive efficiency, enhanced immunological parameters, and improved growth performance, but elevated salinity levels (36‰) led to reduced reproductive success and hindered growth performance. Florida red tilapia thrive in water quality conditions that are within acceptable limits. High salinity environments led to increased dissolved oxygen but reduced pH, especially in BFT ponds. BFT improved reproductive performance, reduced spawning time, and increased egg production. It also improved hatchability, larval quality, and yolk sac absorption. The BFT broodstock showed higher levels of key proteins (total protein, albumin, and globulin) and improved immune parameters, which helped counteract the negative effects of elevated salinity and enhanced their overall health and stress tolerance. In high-salinity environments, offspring in BFT systems showed higher survival rates and growth rates. In conclusion, BFT improves the reproductive performance, growth, and immune response of Florida red tilapia under high salinity. It enhances egg production, hatchability, and larval survival, while also improving water quality and immune function, making it a sustainable solution for tilapia aquaculture in saline environments.