bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fazilitatoren und Barrieren im Raumplanungsprozess
Authors: Schmid Ludwig , Tokarski Kim Oliver 
Published: December 2024

ZusammenfassungBeim vorliegenden essential handelt es sich um eine Ergebniszusammenfassung einer empirisch, qualitativen Forschungsarbeit, die die Fazilitatoren und Barrieren im Raumplanungsprozess von Kliniken aufzeigt. Im Rahmen von 3 Fokusgruppeninterviews wurden dafür neben planungsbeteiligten Nutzer:innen, also direkten Vertreter:innen von Kliniken in einem Neu- oder Umbauprojekt, auch verschiedene Betriebsprojektleiter:innen, Architekt:innen, Prozess- und/oder Innovationsmanager:innen sowie Gesamtprojektleiter:innen interviewt. Im Folgenden werden daher ergänzend Zitate aus den Fokusgruppeninterviews aufgeführt, um ein direkteres Verständnis zu erhalten.
Fazit mit Handlungsempfehlungen
Authors: Schmid Ludwig , Tokarski Kim Oliver 
Published: December 2024

ZusmmenfassungWie das vorliegende essential aufzeigt, spielt der Faktor Mensch vor allem im Klinikneubau eine ganz zentrale und entscheidende Rolle. So wird unter Architekt:innen ein Krankenhaus oftmals noch als Ort der Heilung für den Menschen als Patient:in gesehen und auch entsprechend aus dieser Perspektive konzipiert. Dies, obwohl bei den immer kürzer werdenden Aufenthaltsdauern in der Praxis nur bedingt Zeitraum für Heilung und Erholung bleibt.
UNIR Declaration for an Ethical Use of Artificial Intelligence in Higher Education
Authors: Burgos Daniel , Corbí Alberto , Griffiths Dai , Ghorbal Bad’r , Frías-Martínez Enrique , González-Crespo Rubén , José José Carlos San , Moreno-Ger Pablo 
Published: December 2024

AbstractThis declaration aims to establish a consensus that can guide all stakeholders in the higher education system (teachers, students, management staff, governing board, researchers, etc.) in the use, application and even the development of AI-based solutions. The declaration commences with a general introduction and a definition of AI. This is followed by some examples of current uses of AI, and discussion of various applications. Finally, a set of principles is presented, focussed on the role that UNIR seeks in providing a reference model for the implementation of global regulations on AI or any other technology in education that creates a social challenge.
A Retrospective Analysis of Artificial Intelligence in Education (AIEd) Studies: Perspectives, Learning Theories, Challenges, and Emerging Opportunities
Authors: Mohammed Ahmed Taiye , Velander Johanna , Milrad Marcelo 
Published: December 2024

AbstractRecent advances in Information and Communication Technologies (ICT), especially AI-powered tools, are driving innovation and productivity across academic and industrial sectors. These technologies are also transforming education by enabling personalized learning, redefining teaching methods, and enhancing educational outcomes. Given the transformative potential of Artificial Intelligence in Education (AIEd), it is essential to examine its benefits and implications for the future of education. AI tools offer substantial benefits to various educational stakeholders by enhancing cognitive engagement, improving teaching assessments, and fostering digital literacy. Additionally, they support policy development, address ethical considerations, and increase educational efficiency and accessibility. However, despite AI’s potential in education, the rapid pace of technological change can create uncertainty and overwhelm, even among experts. As AIEd advances, it is crucial to develop strategies that help educators and institutions stay updated on new developments and integrate them effectively into educational settings. This study explores the historical development of AIEd and identifies current research trends through a dual-method approach. First, a bibliometric analysis using VOSViewer uncovers patterns in AIEd research over the past 50 years. Second, text mining techniques using term frequency analysis and topic modeling—examine over 2,204 abstracts from Scopus, covering publications from 1970 to the present. By combining these methods, the study highlights key AIEd research areas that impact stakeholders and influence future educational practices. Understanding the evolution of AIEd and current trends is essential for anticipating its future trajectory, preparing us to address emerging challenges and opportunities in education. The findings trace the progression of AIEd research, revealing shifts in focus, underlying learning theories, and application paradigms. This comprehensive overview helps identify research gaps and emerging themes, supporting the development of strategies to leverage AIEd’s potential in transforming education and meeting the complex, evolving needs of twenty-first century stakeholders.
Schwangerschaft nach assistierter Reproduktion – Was ist zu beachten?
Authors: Fluhr Herbert 
Published: December 2024

Zusammenfassung
Schwangerschaften nach assistierter Reproduktion haben ein höheres Risiko für plazentavermittelte Komplikationen ebenso wie peripartale Probleme, insbesondere bei Vorhandensein einer Endometriose. Zusätzlich ist ein gering erhöhtes Auftreten von fetalen Fehlbildungen zu verzeichnen, wenngleich es sich überwiegend um kleinere Auffälligkeiten handelt. Eine entsprechend intensive Überwachung von Schwangerschaften nach reproduktionsmedizinischen Verfahren ist daher sinnvoll und notwendig.
Influence of cochlear coverage on speech perception in single sided deafness, bimodal, and bilateral implanted cochlear implant patients
Authors: Spiegel Jennifer L. , Mueller Joachim , Boehnlein Rebecca , Hempel John-Martin , Spiro Judith E. , Weiss Bernhard G. , Bertlich Mattis , Canis Martin , Rader Tobias 
Published: December 2024

Abstract
Purpose
Individualized cochlear implantation (CI) is essential to facilitate optimal hearing results for patients. Influence of cochlear coverage (CC) has been studied, however without consideration of different CI-categories, like single sided deafness (SSD), bimodal, and bilateral separately.

Methods
Retrospective analysis of preoperative CT scans was performed at a tertiary center. For each patient their individual CC with the selected electrode array was calculated off the complete CDL. Patients were categorized into SSD (n = 30), bimodal (n = 72), and bilateral CI patients (n = 29). Speech perception within the first 12 months post-implantation was compared between patient groups with shorter and longer CC. For subgroup analysis the cutoff between a shorter or longer CC was identified by the median.

Results
Cutoff between a shorter or longer CC was identified at 65% off the complete CDL for SSD and bimodal patients, and at 70% for bilateral patients. In SSD-patients longer CC was associated with better performance at activation (CCshorter 20.0 ± 28.9% vs. CClonger 31.5 ± 24.7%; p = 0.04) and no benefit was found with deeper insertion at 12 months. No significant benefit was found for deeper insertion in bimodal and bilateral patients.

Conclusions
Capacities of hearing performance seem to differ between SSD, bimodal and bilateral patients within the first year after implantation with regards to cochlear coverage. SSD-patients appear to benefit from deeper insertion than 65% up to 12 months after implantation. However, these results should be interpreted with caution, hence development of speech perception with CI is influenced by a whole range of factors, and bimodal and bilateral treated patients are extremely heterogenous patient groups.
The impact of lymphedema severity on shoulder joint function and muscle activation patterns in breast cancer survivors: a cross-sectional study
Authors: Mohamed Mahmoud Hamada , Radwan Rafik E. , ElMeligie Mohamed M. , Ahmed Abdelrazak , Sakr Hend R. , ElShazly Mahmoud 
Published: December 2024

Abstract

Purpose
This study aimed to investigate the impacts of breast cancer-related lymphedema (BCRL) severity on shoulder function including range of motion, strength, muscle activation patterns, and patient-reported disability.

Methods
A cross-sectional, observational study design was utilized. Seventy-five women with unilateral BCRL were recruited and categorized into mild, moderate, and severe groups based on limb swelling severity. Outcomes included shoulder range of motion, isometric strength, Disabilities of Arm Shoulder and Hand (DASH) scores for disability, and surface electromyography (EMG) of shoulder muscles. Data were analyzed using parametric and nonparametric tests.

Results
Increasing lymphedema severity was associated with progressive declines in shoulder mobility, strength, and function. Severe cases showed markedly reduced shoulder flexion, abduction, rotation, and extension range of motion along with decreased isometric flexor and abductor strength versus mild cases (p < 0.001). Higher pain levels (p < 0.001) and DASH disability scores (p < 0.001) were noted in severe BCRL. Surface EMG revealed impaired activation patterns including reduced amplitudes (p < 0.001) and delayed onsets (p < 0.001) in the deltoids, rotator cuff, and scapular muscles with greater impairment.

Conclusions
Advancing BCRL severity was associated with substantial declines in shoulder mobility, strength, neuromuscular activation, pain threshold, and upper limb functionality. These quantitative results demonstrate impaired shoulder joint control underlying disability in arm elevation and daily tasks. The progressive nature of these deficits highlights the relationship between lymphedema severity and shoulder dysfunction in breast cancer survivors.
Machine learning for predicting post-operative outcomes in meningiomas: a systematic review and meta-analysis
Authors: Abualnaja Siraj Y. , Morris James S. , Rashid Hamza , Cook William H. , Helmy Adel E. 
Published: December 2024

Abstract

Purpose
Meningiomas are the most common primary brain tumour and account for over one-third of cases. Traditionally, estimations of morbidity and mortality following surgical resection have depended on subjective assessments of various factors, including tumour volume, location, WHO grade, extent of resection (Simpson grade) and pre-existing co-morbidities, an approach fraught with subjective variability. This systematic review and meta-analysis seeks to evaluate the efficacy with which machine learning (ML) algorithms predict post-operative outcomes in meningioma patients.

Methods
A literature search was conducted in December 2023 by two independent reviewers through PubMed, DARE, Cochrane Library and SCOPUS electronic databases. Random-effects meta-analysis was conducted.

Results
Systematic searches yielded 32 studies, comprising 142,459 patients and 139,043 meningiomas. Random-effects meta-analysis sought to generate restricted maximum-likelihood estimates for the accuracy of alternate ML algorithms in predicting several postoperative outcomes. ML models incorporating both clinical and radiomic data significantly outperformed models utilizing either data type alone as well as traditional methods. Pooled estimates for the AUCs achieved by different ML algorithms ranged from 0.74–0.81 in the prediction of overall survival and progression-/recurrence-free survival, with ensemble classifiers demonstrating particular promise for future clinical application. Additionally, current ML models may exhibit a bias in predictive accuracy towards female patients, presumably due to the higher prevalence of meningiomas in females.

Conclusion
This review underscores the potential of ML to improve the accuracy of prognoses for meningioma patients and provides insight into which model classes offer the greatest potential for predicting survival outcomes. However, future research will have to directly compare standardized ML methodologies to traditional approaches in large-scale, prospective studies, before their clinical utility can be confidently validated.
Discretisation of an Oldroyd-B viscoelastic fluid flow using a Lie derivative formulation
Authors: Ashby Ben S. , Pryer Tristan 
Published: December 2024

Abstract
In this article, we present a numerical method for the Stokes flow of an Oldroyd-B fluid. The viscoelastic stress evolves according to a constitutive law formulated in terms of the upper convected time derivative. A finite difference method is used to discretise along fluid trajectories to approximate the advection and deformation terms of the upper convected derivative in a simple, cheap and cohesive manner, as well as ensuring that the discrete conformation tensor is positive definite. A full implementation with coupling to the fluid flow is presented, along with a detailed discussion of the issues that arise with such schemes. We demonstrate the performance of this method with detailed numerical experiments in a lid-driven cavity setup. Numerical results are benchmarked against published data, and the method is shown to perform well in this challenging case.
Preliminary design and development of the module back-end electronics for the large area detector onboard the eXTP mission
Authors: Xiong Hao , Bayer Jörg , Santangelo Andrea , Feroci Marco , Del Monte Ettore , Guzman Alejandro , Hedderman Paul , Minervini Gabriele , Pliego Samuel , Putz Andreas , Tenzer Chris , Trois Alessio , Wang Xianqi 
Published: December 2024

Abstract
The Large Area Detector (LAD) is one of the science payloads of the enhanced X-ray Timing and Polarimetry (eXTP) mission. The LAD is a spectral-timing instrument with a broad energy response, covering a range from 2 to 30 keV, a good timing resolution of better than 10 µs, and an expected energy resolution of 260 eV at 6 keV. The LAD consists of 640 large-area multi-anode Silicon Drift Detectors (SDDs). Given the large number of detectors, the LAD uses a modular design. Each module comprises sixteen detectors, and each detector is equipped with dedicated Front-End Electronics (FEE), interfacing with two separate Module Back-End Electronics (MBEEs). Each MBEE is designed to process the data from 1,792 anode channels in 8 FEEs (224 anode channels per FEE), performing the energy reconstruction and time tagging for X-ray events. The MBEE uses the European Field Programmable Gate Array (FPGA) from NanoXplore™, based on a pipeline concept, which reduces dead time, making the LAD suitable for higher flux X-ray detection, and it can handle a sustained flux of >500 mCrab and a continuous flux of >15 Crab for up to 300 minutes (Feroci et al. 2018). Additionally, the MBEE serves as the central hub for configuring the module’s electronics, including the FEEs, the Power Supply Unit (PSU), and the MBEE itself, and it is also responsible for collecting housekeeping data to monitor the system’s status. The prototype MBEE was designed, manufactured, and programmed with FPGA firmware using VHDL. The basic functional test was conducted in this paper, and the results indicated that the MBEE could be operated in different modes to perform the functions mentioned above. Analysis and testing show that it can transmit event packets-containing timing tag, event type, position ID, and energy information-at a baud rate of 2 Mbps with an event loss fraction of 1.5%.
Etiology of panurethral strictures in a low socioeconomic status population
Authors: Jain Kunj , Patel Radhika , Popovic Aleksandar , Pandher Meher , Alwaal Amjad 
Published: December 2024

Abstract
Introduction
Panurethral strictures represent the most severe form within the anterior urethral stricture spectrum, requiring more technically complex repairs and resulting in poorer outcomes compared to localized anterior urethral strictures (penile or bulbar). This abstract aims to describe the distinct characteristics of patients with panurethral strictures in a low socioeconomic status population.

Methods
Patients presenting with localized anterior (penile or bulbar) or panurethral strictures at University Hospital in Newark, NJ, between 2021 and 2023 were retrospectively identified. Data were extracted from electronic medical records and analyzed statistically using IBM SPSS Software.

Results
Among the patients, 33 had localized anterior urethral strictures, and 22 had panurethral stricture disease. Hispanic and African American patients accounted for the majority of stricture cases (63.6%), including 59% of the panurethral stricture cohort. The only statistically significant factor contributing to panurethral disease was lichen sclerosis (p < 0.05). Patients with panurethral strictures had a higher incidence of inflammatory and systemic diseases such as STDs, recurrent UTIs, diabetes, and hypertension, while those with localized anterior urethral strictures showed a higher incidence of iatrogenic factors, including prior catheterizations and transurethral surgeries. However, these factors did not reach a statistical significance. Hypospadias repair was observed in 6% of localized anterior urethral stricture cases, compared to 13.6% of panurethral stricture cases.

Conclusion
While iatrogenic causes remain the predominant contributors, inflammatory and systemic conditions, particularly lichen sclerosis, significantly influence the development of panurethral strictures. Early surgical intervention and better management of systemic diseases may prevent the progression of localized anterior urethral strictures to panurethral disease, but further studies utilizing larger number of patients may shed light on the significance of these systemic factors.
Application of integrated full-membrane platform in antibody purification
Authors: Wang Xiaoyang , Wei Lan , Zhang Sen , Zhang Yuxin , Li Min , Wang Shujing , Gao Kai , Zhao Puya 
Published: December 2024

AbstractAntibody products are promising therapeutic candidates for various diseases, such as cancers and autoimmune disorders. Owing to the improvement of cell culture technology in recent years, the production titers of antibodies can reach up to 10 g/L. With such high titers in upstream production, advancements in the development of downstream separation and purification techniques are highly desired. To ensure a balance between handling the increased product supply and maintaining the high purity required for biopharmaceutical applications, membrane chromatography is an efficient and cost-effective technique that can be used to separate and purify proteins and other biological components. In this study, we developed a full-membrane platform that uses affinity membrane chromatography to capture antibodies, which is followed by a two-step flow-through polishing process involving anion exchange membrane chromatography and hydrophobic interaction membrane chromatography. We tested five molecules using this platform, and the outcomes of membrane chromatography were comparable to those of column chromatography in terms of yield and product quality. Moreover, full-membrane chromatography might lead to a cost reduction of > 70% in chromatography media. Altogether, the full-membrane platform developed in this has potential applications in downstream processes of antibody production.
Respiratory syncytial virus infection in patients with haematological diseases: a retrospective multicentre study
Authors: Herrmann Sebastian , Graefe Stephanie , Christopeit Maximilian , Sonnemann Piet , Hattenhauer Tessa , Mispelbaum Rebekka , Monin Malte B. , Orth Hans Martin , Flasshove Charlotte , Gruell Henning , Klein Florian , Klein Uwe , Lehmann Clara , Naendrup Jan-Hendrik , Stemler Jannik , Salmanton-Garcia Jon , Markus Theresa , Cornely Oliver A. , Mellinghoff Sibylle C. 
Published: December 2024

Abstract
Purpose
This study aims to evaluate the burden of respiratory syncytial virus (RSV) infections in patients with haematological diseases. It seeks to analyse the relevance of prevention, diagnosis and treatment of RSV infections.

Methods
A multi-centre, retrospective study was conducted across University Hospitals in Cologne, Düsseldorf, Bonn, and the University Medical Centre Hamburg-Eppendorf between Jan 2016 and Aug 2023. All haematological patients with diagnosed RSV infection were included. The study focused on the incidence of RSV, underlying conditions, comorbidities, coinfections and clinical outcomes such as hospitalization, intensive care unit (ICU) admission and mortality.

Results
Of 166 patients, 89 (53.6%) had signs of pneumonia and 37 (22.3%) were admitted to ICU due to RSV infection, while 20 (54%) of those were mechanically ventilated with median duration of 11 days (1,33; IQR:18). Mean age was 60 years (range 14–88). Sixteen patients (9.6%) were treated as outpatients, while 52 (31.3%) were hospitalized due to RSV infection; the median hospital stay was 16 days (IQR 25.25, range 0–97). 79 (47.6%) of patients presented with leukopenia and 57 (34.3%) with neutropenia. In total, 22 patients (13.3%) died within 30 days and 29 (17.5%) died within 90 days. Highest mortality rates were seen in patients with aggressive lymphoma (23.5%) and acute leukaemia (18%).

Conclusion
RSV significantly impacts patients with haematological diseases, leading to high rates of hospitalization, ICU admission, and mortality. Preventive measures, such as vaccination, alongside early diagnosis and individualized management, are essential to reduce RSV-associated morbidity and mortality in this high-risk population.
Holistic Decision-Making for Optimal Siting of Urban Earthquake Emergency Shelters: An Integrated Ontology and Fuzzy-AHP Approach
Authors: Li Zimo , Khudhair Ali , Li Haijiang 
Published: December 2024

AbstractEarthquakes are amongst the most destructive natural hazards, posing substantial risks to urban populations and infrastructure. As cities grow and modernise, identifying optimal locations for Urban Earthquake Emergency Shelters (UEES) becomes key for ensuring public safety. However, this process involves complex, multi-faceted criteria that must be carefully evaluated. This paper introduces a multi-criteria decision-making (MCDM) framework thatffiga integrates ontology with the fuzzy analytic hierarchy process (FAHP) to prioritise potential locations. A key contribution is the use of an ontology to model and interconnect the diverse criteria necessary for UEES site selection, providing a structured perspective that enhances both the theoretical understanding and practical decision-making in urban emergency management. The designed ontology structures and analyses the selection criteria, which are then processed using the FAHP to prioritise potential sites. This framework was validated through a case study in Beijing, where the Shijingshan and Haidian districts were identified as the most suitable locations due to high safety levels, economic benefits, and infrastructure interactions. The results also highlight key challenges in planning and construction across different sites. By combining ontology with FAHP, this framework optimises UEES location selection and supports the digital transformation of urban emergency management systems, offering a holistic, data-driven approach to disaster preparedness.
Ethics in Business Research and Innovation. An Institutionalisation Framework
Authors: González-Esteban Elsa 
Published: December 2024

AbstractProgress in Responsible Research and Innovation (RRI) has proved to be a decisive step in many institutions, following the guidelines and encouragement of the European Union and academic proposals. One of the dimensions recent studies have considered central for making progress in the practical development of theoretical proposals for RRI is the institutionalisation of reflexivity at the core of the organisations that develop RRI. This is particularly the case with the promotion of processes that facilitate the establishment of ethical standards throughout the research and innovation cycle. This study attempts to deal with discourses about the institutional reflexivity formulated in the past 15 years based on RRI from a critical-ethical point of view. It does so using the business ethics theory of discourse. This analysis shows that, for this institutional reflexivity to be possible, it is necessary to base the RRI model on a critical-ethical horizon and design an ethical governance system that allows its practical development.