bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hypertension at diagnosis of coarctation of the aorta as a risk factor for recoarctation
Authors: Berman Nofar , Pozailov Shani , Krymko Hanna , Slanovic Leonel , Murninkas Michael , Grunseid Michael , Levitas Aviva 
Published: January 2025

Abstract

Background
Coarctation of the aorta (CoA) is a narrowing of the aorta that affects 5–8% of congenital heart defects. Treatment options include surgical repair or transcatheter management with endovascular stenting or balloon dilatation. Late complications after operative repair include systemic hypertension, aortic valve abnormalities, aortic aneurysm, and recoarctation. This study examines the association between the presence of hypertension at the diagnosis of CoA and recoarctation.

Methods
This retrospective study analyzed medical records of patients at Soroka University Medical Center who underwent treatment for CoA between 1978 and 2021. The study included 128 patients diagnosed with CoA and who underwent repair; 9 were excluded, leaving 119 patients for analysis.

Results
Of the 119 patients, 28 developed recoarctation within 15 years of initial repair. Patients with hypertension at initial diagnosis were more likely to develop recoarctation, adjusted to sex and ethnicity. Other patient characteristics were not significantly associated with recoarctation.

Conclusions
Hypertension at the time of initial CoA diagnosis is a risk factor for the development of recoarctation within 15 years of initial repair. Close monitoring and management of blood pressure may be important for patients with CoA. Future research should investigate whether hypertension control can reduce recoarctation risk in this population.

Impact

Previous studies focus on post-repair hypertension in CoA.

Limited research on hypertension during CoA diagnosis.

Knowledge gap on its impact on recoarctation risk.

Hypertension at CoA diagnosis may predict recoarctation.

Enables tailored monitoring and timely intervention.
Melanoma bone metastasis-induced osteocyte ferroptosis via the HIF1α-HMOX1 axis
Authors: Jia Yewei , Li Rui , Li Yixuan , Kachler Katerina , Meng Xianyi , Gießl Andreas , Qin Yi , Zhang Fulin , Liu Ning , Andreev Darja , Schett Georg , Bozec Aline 
Published: January 2025

Abstract
Osteocytes are the main cells in mineralized bone tissue. Elevated osteocyte apoptosis has been observed in lytic bone lesions of patients with multiple myeloma. However, their precise contribution to bone metastasis remains unclear. Here, we investigated the pathogenic mechanisms driving melanoma-induced osteocyte death. Both in vivo models and in vitro assays were combined with untargeted RNA sequencing approaches to explore the pathways governing melanoma-induced osteocyte death. We could show that ferroptosis is the primary mechanism behind osteocyte death in the context of melanoma bone metastasis. HMOX1 was identified as a crucial regulatory factor in this process, directly involved in inducing ferroptosis and affecting osteocyte viability. We uncover a non-canonical pathway that involves excessive autophagy-mediated ferritin degradation, highlighting the complex relationship between autophagy and ferroptosis in melanoma-induced osteocyte death. In addition, HIF1α pathway was shown as an upstream regulator, providing a potential target for modulating HMOX1 expression and influencing autophagy-dependent ferroptosis. In conclusion, our study provides insight into the pathogenic mechanisms of osteocyte death induced by melanoma bone metastasis, with a specific focus on ferroptosis and its regulation. This would enhance our comprehension of melanoma-induced osteocyte death.
A dataset of Uniswap daily transaction indices by network
Authors: Chemaya Nir , Cong Lin William , Jorgensen Emma , Liu Dingyue , Zhang Luyao 
Published: January 2025

Abstract
Decentralized Finance (DeFi) is reshaping traditional finance by enabling direct transactions without intermediaries, creating a rich source of open financial data. Layer 2 (L2) solutions are emerging to enhance the scalability and efficiency of the DeFi ecosystem, surpassing Layer 1 (L1) systems. However, the impact of L2 solutions is still underexplored, mainly due to the lack of comprehensive transaction data indices for economic analysis. This study bridges that gap by analyzing over 50 million transactions from Uniswap, a major decentralized exchange, across both L1 and L2 networks. We created a set of daily indices from blockchain data on Ethereum, Optimism, Arbitrum, and Polygon, offering insights into DeFi adoption, scalability, decentralization, and wealth distribution. Additionally, we developed an open-source Python framework for calculating decentralization indices, making this dataset highly useful for advanced machine learning research. Our work provides valuable resources for data scientists and contributes to the growth of the intelligent Web3 ecosystem.
StreetSurfaceVis: a dataset of crowdsourced street-level imagery annotated by road surface type and quality
Authors: Kapp Alexandra , Hoffmann Edith , Weigmann Esther , Mihaljević Helena 
Published: January 2025

Abstract
Road unevenness significantly impacts the safety and comfort of traffic participants, especially vulnerable groups such as cyclists and wheelchair users. To train models for comprehensive road surface assessments, we introduce StreetSurfaceVis, a novel dataset comprising 9,122 street-level images mostly from Germany collected from a crowdsourcing platform and manually annotated by road surface type and quality. By crafting a heterogeneous dataset, we aim to enable robust models that maintain high accuracy across diverse image sources. As the frequency distribution of road surface types and qualities is highly imbalanced, we propose a sampling strategy incorporating various external label prediction resources to ensure sufficient images per class while reducing manual annotation. More precisely, we estimate the impact of (1) enriching the image data with OpenStreetMap tags, (2) iterative training and application of a custom surface type classification model, (3) amplifying underrepresented classes through prompt-based classification with GPT-4o and (4) similarity search using image embeddings. Combining these strategies effectively reduces manual annotation workload while ensuring sufficient class representation.
The ECOLANG Multimodal Corpus of adult-child and adult-adult Language
Authors: Gu Yan , Donnellan Ed , Grzyb Beata , Brekelmans Gwen , Murgiano Margherita , Brieke Ricarda , Perniss Pamela , Vigliocco Gabriella 
Published: January 2025

Abstract
Communication comprises a wealth of multimodal signals (e.g., gestures, eye gaze, intonation) in addition to speech and there is a growing interest in the study of multimodal language by psychologists, linguists, neuroscientists and computer scientists. The ECOLANG corpus provides audiovisual recordings and ELAN annotations of multimodal behaviours (speech transcription, gesture, object manipulation, and eye gaze) by British and American English-speaking adults engaged in semi-naturalistic conversation with their child (N = 38, children 3-4 years old, face-blurred) or a familiar adult (N = 31). Speakers were asked to talk about objects to their interlocutors. We further manipulated whether the objects were familiar or novel to the interlocutor and whether the objects could be seen and manipulated (present or absent) during the conversation. These conditions reflect common interaction scenarios in real-world communication. Thus, ECOLANG provides ecologically-valid data about the distribution and co-occurrence of multimodal signals across these conditions for cognitive scientists and neuroscientists interested in addressing questions concerning real-world language acquisition, production and comprehension, and for computer scientists to develop multimodal language models and more human-like artificial agents.
High-resolution X-ray phase-contrast tomography of human placenta with different wavefront markers
Authors: Savatović Sara , Laundon Davis , De Marco Fabio , Riedel Mirko , Hammel Jörg U. , Busse Madleen , Salomé Murielle , Pascolo Lorella , Zanette Irene , Lewis Rohan M. , Herzen Julia , Thibault Pierre 
Published: January 2025

Abstract
Phase-contrast micro-tomography (
$$\upmu$$
CT) with synchrotron radiation can aid in the differentiation of subtle density variations in weakly absorbing soft tissue specimens. Modulation-based imaging (MBI) extracts phase information from the distortion of reference patterns, generated by periodic or randomly structured wavefront markers (e.g., gratings or sandpaper). The two approaches have already found application for the virtual inspection of biological samples. Here, we perform high-resolution
$$\upmu$$
CT scans of an unstained human placenta specimen, using MBI with both a 2D grating and sandpaper as modulators, as well as conventional propagation-based imaging (PBI). The 3D virtual representation of placenta offers a valuable tool for analysing its intricate branching villous network and vascular structure, providing new insights into its complex architecture. Within this study, we assess reconstruction quality achieved with all three evaluated phase-contrast methods. Both MBI datasets are processed with the Unified Modulated Pattern Analysis (UMPA) model, a pattern-matching algorithm. In order to evaluate the benefits and suitability of MBI for virtual histology, we discuss how the complexities of the technique influence image quality and correlate the obtained volumes to 2D techniques, such as conventional histology and X-ray fluorescence (XRF) elemental maps.
Experimental and analytical study on axial behaviour of square corrugated concrete filled single and double skin tube stub columns
Authors: Handousa Aya Mohsen , Abdellatief Mohamed , Salem Fikry Abdo , Mahmoud Nabil , Ghannam Mohamed 
Published: January 2025

Abstract
Concrete-filled double-skin steel tubular (CFDST) columns have become widely utilized in building construction and bridges, thanks to their exceptional structural capabilities. Therefore, this study investigates the axial compressive behavior of square CFDST columns. The study aims to explore the influence of external and internal plate shapes (flat or corrugated plates) and different widths of internal steel tubes on the axial compressive behavior. The effects of varying internal widths of the internal steel tube (60 mm, 116 mm, and 160 mm) on the performance of CFDST columns were examined. Additionally, the study compared the performance of concrete-filled steel tubular (CFST) and CFDST columns with external flat or corrugated plates. The findings indicated that incorporating internal corrugated plates notably improved both the load-carrying capacity and ductility of the specimens. Notably, CFDST columns featuring corrugated internal plates (116 mm width) exhibited strength enhancements of 25.3% and 7.4% compared to internal widths of 160 mm and 60 mm, respectively. Furthermore, the study proposed two machine-learning models, namely Artificial Neural Network (ANN) and Gaussian Process Regression (GPR), to estimate the ultimate compressive strength of square CFDST columns. The findings indicated that the GPR model outperformed the ANN model in predicting the bearing capacity of square CFDST columns. Additionally, the Shapley Additive Explanation technique was employed for feature analysis. The outcomes of this analysis revealed that parameters such as section width and concrete strength positively influence the compressive strength index.
Charge doping into spin minority states mediates doubling of TC in ferromagnetic CrGeTe3
Authors: Trzaska Liam , Qiao Lei , Watson Matthew D. , Ciomaga Hatnean Monica , Marković Igor , Abarca Morales Edgar , Antonelli Tommaso , Cacho Cephise , Balakrishnan Geetha , Ren Wei , Picozzi Silvia , King Phil D. C. 
Published: January 2025

Abstract
The recent discovery of the persistence of long-range magnetic order when van der Waals magnets are thinned towards monolayers provides a tunable platform for engineering of novel magnetic structures and devices. Here, we study the evolution of the electronic structure of CrGeTe3 as a function of surface electron doping. From angle-resolved photoemission, we observe spectroscopic fingerprints that this electron doping drives a marked increase in T
C, reaching values more than double that of the undoped material, in agreement with recent studies using electrostatic gating. Together with density functional theory calculations and Monte Carlo simulations, we show that, surprisingly, the increased T
C is mediated by the population of spin-minority Cr t
2g
states, forming a half-metallic 2D electron gas. This promotes a novel variant of double exchange, and unlocks a significant influence of Ge – which was previously thought to be electronically inert in this system – in mediating Cr-Cr exchange.
A machine learning approach to leveraging electronic health records for enhanced omics analysis
Authors: Mataraso Samson J. , Espinosa Camilo A. , Seong David , Reincke S. Momsen , Berson Eloise , Reiss Jonathan D. , Kim Yeasul , Ghanem Marc , Shu Chi-Hung , James Tomin , Tan Yuqi , Shome Sayane , Stelzer Ina A. , Feyaerts Dorien , Wong Ronald J. , Shaw Gary M. , Angst Martin S. , Gaudilliere Brice , Stevenson David K. , Aghaeepour Nima 
Published: January 2025

Abstract
Omics studies produce a large number of measurements, enabling the development, validation and interpretation of systems-level biological models. Large cohorts are required to power these complex models; yet, the cohort size remains limited due to clinical and budgetary constraints. We introduce clinical and omics multimodal analysis enhanced with transfer learning (COMET), a machine learning framework that incorporates large, observational electronic health record databases and transfer learning to improve the analysis of small datasets from omics studies. By pretraining on electronic health record data and adaptively blending both early and late fusion strategies, COMET overcomes the limitations of existing multimodal machine learning methods. Using two independent datasets, we showed that COMET improved the predictive modelling performance and biological discovery compared with the analysis of omics data with traditional methods. By incorporating electronic health record data into omics analyses, COMET enables more precise patient classifications, beyond the simplistic binary reduction to cases and controls. This framework can be broadly applied to the analysis of multimodal omics studies and reveals more powerful biological insights from limited cohort sizes.
First-in-class ultralong-target-residence-time p38α inhibitors as a mitosis-targeted therapy for colorectal cancer
Authors: Rudalska Ramona , Harbig Jule , Forster Michael , Woelffing Pascal , Esposito Aylin , Kudolo Mark , Botezatu Adelina , Haller Vanessa , Janssen Nicole , Holzmayer Samuel , Nahidino Philipp , Trompak Omelyan , Pantsar Tatu , Kronenberger Thales , Yurttas Can , Rist Elke , Weber Alexander N. R. , Dahlke Marc H. , Ott German , Koenigsrainer Alfred , Rothbauer Ulrich , Maerklin Melanie , Muerdter Thomas , Schwab Matthias , Singer Stephan , Zender Lars , Laufer Stefan , Dauch Daniel 
Published: January 2025

Abstract
Colorectal cancer (CRC) constitutes the second leading cause of cancer-related death worldwide and advanced CRCs are resistant to targeted therapies, chemotherapies and immunotherapies. p38α (Mapk14) has been suggested as a therapeutic target in CRC; however, available p38α inhibitors only allow for insufficient target inhibition. Here we describe a unique class of p38α inhibitors with ultralong target residence times (designated ULTR-p38i) that robustly inhibit p38α downstream signaling and induce distinct biological phenotypes. ULTR-p38i monotherapy triggers an uncontrolled mitotic entry by activating Cdc25 and simultaneously blocking Wee1. Consequently, CRC cells undergo mitotic catastrophe, resulting in apoptosis or senescence. ULTR-p38i exhibit high selectivity, good pharmaco-kinetic properties and no measurable toxicity with strong therapeutic effects in patient-derived CRC organoids and syngeneic CRC mouse models. Conceptually, our study suggests ultralong-target-residence-time kinase inhibitors as an alternative to covalent inhibitors, which, because of the lack of cysteine residues, cannot be generated for many kinase cancer targets.
Treatment of Venous Thromboembolism with Edoxaban over 18 Months: Results from ETNA-VTE Europe
Authors: Agnelli Giancarlo , Hoffmann Ulrich , Hainaut Philippe , Gaine Sean , Ay Cihan , Coppens Michiel , Schindewolf Marc , Jimenez David , Fronk Eva-Maria , Souza José , Laeis Petra , Bramlage Peter , Brüggenjürgen Bernd , Levy Pierre , Cohen Alexander T. ,   on behalf of the ETNA-VTE-Europe investigators
Published: January 2025

Background The benefits and risks of extending anticoagulant treatment beyond the first 3 to 6 months in patients with venous thromboembolism (VTE) in clinical practice are not well understood.
Methods ETNA-VTE Europe is a prospective, noninterventional, post-authorization study in unselected patients with VTE treated with edoxaban in eight European countries for up to 18 months. Recurrent VTE, major bleeding, and all-cause death were the primary study outcomes.
Results The median age of the 2,644 patients was 65 years; 46.6% were female, and 22.8% had a history of VTE. The median treatment duration was 50.6 weeks (interquartile range: 23.4–77.7). VTE recurrence occurred in 100 patients (3.8% at an annual rate of 2.7%/year); 37 patients (1.4%) were on edoxaban at the time of the event, with a corresponding annualized rate of 1.6%/year. Major bleeding was experienced by 37 patients (1.4%) during edoxaban treatment, corresponding to an annualized rate of 1.5%/year. Overall, 95 patients died (3.6%; annualized rate 2.6%/year), with the majority for reasons other than VTE- and cardiovascular (CV)-related causes. Out of 15 deaths (1.9%; annualized rate 2.1%/year) that occurred during edoxaban treatment, 1 was related to VTE and 11 related to CV (annualized rate 0.0%/year and 0.5%/year).
Conclusions ETNA-VTE Europe provides evidence for the real-world effectiveness of edoxaban treatment (up to 18 months) based on a low rate of VTE recurrence, all-cause death, and major bleeding, and is aligned with the results of the randomized clinical trial reassuring the use of edoxaban in the treatment of VTE in routine clinical practice.
Generation Z in Plastic Surgery: Challenges, Solutions and New
Horizons – A European and transatlantic overview
Authors: Giunta Riccardo E. , Bassetto Franco , Demirdöver Cenk , Evans Gregory R.D. , Henley Mark , Kaartinen Ilkka , Lehnhardt Marcus , Masia Jaume , McArthur Paul , Saboye Jacques , Steubing Yonca , Aranda Irene Mesas 
Published: January 2025

Abstract
Introduction  The entrance of Generation Z (born 1997–2012) into
professional life, including the practice of medicine, marks a transformational
shift in priorities and values. This generation, shaped by digital immersion and
a strong focus on work-life balance, is redefining the landscape of Plastic
Surgery. Their preferences for inclusivity, innovation, and structured working
hours challenge traditional models of mentorship, patient care, and surgical
training. The aim of this survey was to explore the impact of Generation Z on
the field of Plastic Surgery through insights offered by leaders of major
Plastic Surgery societies in Europe and the United States, who together provide
a comprehensive perspective on generational change and its implications for
clinical practice, education, and healthcare systems in Plastic Surgery.
Methods  In October 2024 eight leaders of national Plastic Surgery
societies and associations were invited to complete a structured questionnaire
with five open-ended questions. They provided detailed responses on challenges,
opportunities, and structural changes needed to address Generation Zʼs
influence.
Results  Key findings highlight a generational shift in the approach to
professional life, with an emphasis on digital innovation, work-life balance,
and the interaction with social media. Respondents noted an increased interest
in aesthetic over reconstructive surgery and a preference for private practice
among younger surgeons, raising concerns about workforce shortages in public
healthcare. Advances in digital learning and simulation-based training were
identified as opportunities to facilitate medical education. However, the
ethical challenges of misinformation on social media and a decline in
hierarchical mentorship were emphasized as critical concerns. Despite
generational tensions, the integration of Generation Z’s strengths in technology
and advocacy for systemic reform holds promise for addressing burnout and
enhancing healthcare delivery.
Conclusion  The arrival of Generation Z in Plastic Surgery represents a
possible pivotal moment to reimagine traditional models of surgical education,
patient care, and professional priorities. Collaboration between generations and
proactive adaptation to these changes is an imperative to ensure a dynamic,
inclusive, and sustainable future for the specialty.
A Long-term Evaluation: Deep Plane versus High SMAS Face Lift
Authors: Mariani Marta , Fabbri Mariachiara , Serra Pietro Luciano , Murone Vittoria , Scucchi Benedetta , Botti Chiara , Botti Giovanni 
Published: January 2025

AbstractIn the last few years, the Deep Plane Face Lift (DPFL) has gained great popularity among plastic surgeons, even if its origins are traced back to the 1970s. Certainly, it could have some advantages but based on our experience, it can reveal some unpleasant features in the long term. For this reason, the senior authors have adopted the high superficial musculoaponeurotic system (SMAS) Face Lift for many years in their surgical practice.The goal of our study is to analyze the DPFL critical aspects in the long term and show how the High SMAS Face Lift (HSFL) technique can help to improve them.
Solid-State Fungal Fermentation for Better Plant Foods
Authors: Jung Noël , Meyer Anne S. 
Published: January 2025

Abstract
Solid-state fungal fermentation of plant foods using filamentous fungi results in products like tempeh and koji that are particularly common in the East Asian cuisine, but now gaining global attention as climate-friendly plant-based protein foods. During the fermentation, the fungus deploys an arsenal of enzymes that degrade plant proteins to umami tasting compounds, degrade carbohydrates in the plant food to simpler sugars and secures the biosynthesis of various metabolites, including amino acids. This causes sensory, nutritional, and visible changes in the food. By carefully selecting the fungal strain and the fermentation parameters, the fermentation can be steered towards a desired outcome such as increasing the levels of essential amino acids like methionine and lysine which are present in low levels in most plant proteins as compared to animal protein. This concept of improving the protein quality of tempeh-like plant-based foods by increasing the levels of essential amino acids through solid-state fungal fermentation is now a particular research focus area. Another advantage of solid-state fungal fermentation is its low entry barrier, as it does not require much financial investment or equipment, allowing private households and small companies to venture into food processing, but to do this safely and obtain a desirable outcome it is important to have the right fungal starter culture.

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