bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patient vulnerability in stereotactic arrhythmia radioablation (STAR): a preliminary ethical appraisal from the STOPSTORM.eu consortium
Authors: Botrugno Carlo , Crico Chiara , Iori Mauro , Blanck Oliver , Blamek Slawomir , Postema Pieter G. , Quesada Aurelio , Pruvot Etienne , Verhoeff Joost J. C. , De Panfilis Ludovica 
Published: April 2024

AbstractThis preliminary ethical appraisal from the STOPSTORM.eu consortium is meant to raise critical points that clinicians administering stereotactic arrhythmia radioablation should consider to meet the highest standards in medical ethics and thus promote quality of life of patients recruited for radiotherapy treatments at a stage in which they experience a significant degree of vulnerability.
Revisiting the countercyclicality of fiscal policy
Authors: Jalles João Tovar , Kiendrebeogo Youssouf , Lam Raphael , Piazza Roberto 
Published: April 2024

AbstractThis paper provides a novel dataset of time-varying measures on the degree of countercyclicality of fiscal policies for advanced and developing economies between 1980 and 2021. The use of time-varying measures of fiscal stabilization, with special attention to potential endogeneity issues, overcomes the major limitation of previous studies and allows the analysis to account for both country-specific as well as global factors. The paper also examines the key determinants of countercyclicality of fiscal policy with a focus on factors as severe crises, informality, financial development and governance. Empirical results show that (i) fiscal policy tends to be more countercyclical during severe crises than typical recessions, especially for advanced economies; (ii) fiscal countercyclicality has increased over time for many economies over the last two decades; (iii) discretionary and automatic countercyclicality are both strong in advanced economies but acyclical (at times procyclical) in low-income countries; (iv) fiscal countercyclicality operates primarily through the expenditure channel, particularly for social benefits; and (v) better financial development, larger government size and stronger institutional quality are associated with larger countercyclical effects of fiscal policy. Our results are robust to various specifications and endogeneity checks.
2-Methoxyestradiol ameliorates doxorubicin-induced cardiotoxicity by regulating the expression of GLUT4 and CPT-1B in female rats
Authors: Sobhy Mohamed H. , Ismail Ahmed , Abdel-Hamid Mohammed S. , Wagih Mohamed , Kamel Marwa 
Published: April 2024

AbstractThe clinical usage of doxorubicin (DOX) is hampered due to cardiomyopathy. Studies reveal that estrogen (E2) modulates DOX-induced cardiotoxicity. Yet, the exact mechanism is unclear. The objective of the current study is to evaluate the influence of E2 and more specifically its metabolite 2-methoxyestradiol (2ME) on cardiac remodeling and the reprogramming of cardiac metabolism in rats subjected to DOX cardiotoxicity. Seventy-two female rats were divided into groups. Cardiotoxicity was induced by administering DOX (2.5 mg/kg three times weekly for 2 weeks). In some groups, the effect of endogenous E2 was abolished by ovariectomy (OVX) or by using the estrogen receptor (ER) blocker Fulvestrant (FULV). The effect of administering exogenous E2 or 2ME in the OVX group was studied. Furthermore, the influence of entacapone (COMT inhibitor) on induced cardiotoxicity was investigated. The evaluated cardiac parameters included ECG, histopathology, cardiac-related enzymes (creatine kinase isoenzyme-MB (CK-MB) and lactate dehydrogenase (LDH)), and lipid profile markers (total cholesterol (TC), triglyceride (TG), and high-density lipoprotein (HDL)). The expression levels of key metabolic enzymes (glucose transporter-4 (GLUT4) and carnitine palmitoyltransferase-1B (CPT-1B)) were assessed. Our results displayed that co-treatment of E2 and/or 2ME with DOX significantly reduced DOX-induced cardiomyopathy and enhanced the metabolism of the heart through the maintenance of GLUT4 and CPT-1B enzymes. On the other hand, co-treatment of DOX with OVX, entacapone, or FULV increased the toxic effect of DOX by further reducing these important metabolic enzymes. E2 and 2ME abrogate DOX-induced cardiomyopathy partly through modulation of GLUT 4 and CPT-1B enzymes.
Graphical Abstract
Warming drives phenological changes in coastal zooplankton
Authors: Forsblom Louise , Stoffers Tjardo , Lindén Andreas , Lehtiniemi Maiju , Engström-Öst Jonna 
Published: April 2024

AbstractClimate warming has led to phenological changes over time, typically displayed as earlier emergence of various organisms in spring or summer in temperate terrestrial and marine systems alike. Similarly, warm conditions can extend seasonal occurrence. Using a time series of zooplankton data from a coastal area in the Gulf of Finland, we calculated the start, end and the length of the season for the occurrence in rotifers and for adult and juvenile stages of three calanoid copepods. We investigated whether the start and end of the season of these taxa have shifted earlier and later, respectively, and whether the season length has increased. We further investigated if potential changes are driven by climate warming. We show that both copepods and rotifers do indeed emerge earlier, but that the pattern in recent years was not conclusive, and that both temperature and ice conditions influenced the seasonal abundance patterns of some taxa. Warmer years led to earlier occurrence of Temora longicornis copepodites. Earlier ice break-up coincided with longer seasons for Acartia and earlier emergence of Eurytemora affinis. The phenological changes in zooplankton demonstrated here may have cascading effects on other trophic levels in the food web. We also demonstrate how decreased sample number influences the ability to capture intra-annual abundance patterns and discuss the implications for monitoring.
To trust or not to trust: evaluating the reliability and safety of AI responses to laryngeal cancer queries
Authors: Ostrowska Magdalena , Kacała Paulina , Onolememen Deborah , Vaughan-Lane Katie , Sisily Joseph Anitta , Ostrowski Adam , Pietruszewska Wioletta , Banaszewski Jacek , Wróbel Maciej J. 
Published: April 2024

Abstract
Purpose
As online health information-seeking surges, concerns mount over the quality and safety of accessible content, potentially leading to patient harm through misinformation. On one hand, the emergence of Artificial Intelligence (AI) in healthcare could prevent it; on the other hand, questions raise regarding the quality and safety of the medical information provided. As laryngeal cancer is a prevalent head and neck malignancy, this study aims to evaluate the utility and safety of three large language models (LLMs) as sources of patient information about laryngeal cancer.

Methods
A cross-sectional study was conducted using three LLMs (ChatGPT 3.5, ChatGPT 4.0, and Bard). A questionnaire comprising 36 inquiries about laryngeal cancer was categorised into diagnosis (11 questions), treatment (9 questions), novelties and upcoming treatments (4 questions), controversies (8 questions), and sources of information (4 questions). The population of reviewers consisted of 3 groups, including ENT specialists, junior physicians, and non-medicals, who graded the responses. Each physician evaluated each question twice for each model, while non-medicals only once. Everyone was blinded to the model type, and the question order was shuffled. Outcome evaluations were based on a safety score (1–3) and a Global Quality Score (GQS, 1–5). Results were compared between LLMs. The study included iterative assessments and statistical validations.

Results
Analysis revealed that ChatGPT 3.5 scored highest in both safety (mean: 2.70) and GQS (mean: 3.95). ChatGPT 4.0 and Bard had lower safety scores of 2.56 and 2.42, respectively, with corresponding quality scores of 3.65 and 3.38. Inter-rater reliability was consistent, with less than 3% discrepancy. About 4.2% of responses fell into the lowest safety category (1), particularly in the novelty category. Non-medical reviewers' quality assessments correlated moderately (r = 0.67) with response length.

Conclusions
LLMs can be valuable resources for patients seeking information on laryngeal cancer. ChatGPT 3.5 provided the most reliable and safe responses among the models evaluated.
A Novel Investigation for Early Sex Determination in Alive Adult European Seabass (Dicentrarchus labrax) Using cyp19a1a, dmrt1a, and dmrt1b Genes Expression in Tail Fin tissues
Authors: El-Zaeem Samy Y. , El-Hanafy Amr , El-Dahhar Alaa A. , Elmaghraby Ayaat M. , Ghanem Sara F. , Hendy Amany M. 
Published: April 2024

AbstractThis study is the first investigation for using sex-related gene expression in tail fin tissues of seabass as early sex determination without killing the fish. The European seabass (Dicentrarchus labrax) is gonochoristic and lacks distinguishable sex chromosomes, so, sex determination is referred to molecular actions for some sex-related genes on autosomal chromosomes which are well known such as cyp19a1a, dmrt1a, and dmrt1b genes which play crucial role in gonads development and sex differentiation. cyp19a1a is expressed highly in females for ovarian development and dmrt1a and dmrt1b are for testis development in males. In this study, we evaluated the difference in the gene expression levels of studied genes by qPCR in tail fins and gonads. We then performed discriminant analysis (DA) using morphometric traits and studied gene expression parameters as predictor tools for fish sex. The results revealed that cyp19a1a gene expression was significantly higher in future females’ gonads and tail fins (p ≥ 0.05). Statistically, cyp19a1a gene expression was the best parameter to discriminate sex even the hit rate of any other variable by itself could not correctly classify 100% of the fish sex except when it was used in combination with cyp19a1a. In contrast, Dmrt1a gene expression was higher in males than females but there were difficulties in analyzing dmrt1a and dmrt1b expressions in the tail because levels were low. So, it could be used in future research to differentiate and determine the sex of adult fish using the cyp19a1a gene expression marker without killing or sacrificing fish.
A Semi-Supervised Learning Framework for Classifying Colorectal Neoplasia Based on the NICE Classification
Authors: Wang Yu , Ni Haoxiang , Zhou Jielu , Liu Lihe , Lin Jiaxi , Yin Minyue , Gao Jingwen , Zhu Shiqi , Yin Qi , Zhu Jinzhou , Li Rui 
Published: April 2024

AbstractLabelling medical images is an arduous and costly task that necessitates clinical expertise and large numbers of qualified images. Insufficient samples can lead to underfitting during training and poor performance of supervised learning models. In this study, we aim to develop a SimCLR-based semi-supervised learning framework to classify colorectal neoplasia based on the NICE classification. First, the proposed framework was trained under self-supervised learning using a large unlabelled dataset; subsequently, it was fine-tuned on a limited labelled dataset based on the NICE classification. The model was evaluated on an independent dataset and compared with models based on supervised transfer learning and endoscopists using accuracy, Matthew’s correlation coefficient (MCC), and Cohen’s kappa. Finally, Grad-CAM and t-SNE were applied to visualize the models’ interpretations. A ResNet-backboned SimCLR model (accuracy of 0.908, MCC of 0.862, and Cohen’s kappa of 0.896) outperformed supervised transfer learning-based models (means: 0.803, 0.698, and 0.742) and junior endoscopists (0.816, 0.724, and 0.863), while performing only slightly worse than senior endoscopists (0.916, 0.875, and 0.944). Moreover, t-SNE showed a better clustering of ternary samples through self-supervised learning in SimCLR than through supervised transfer learning. Compared with traditional supervised learning, semi-supervised learning enables deep learning models to achieve improved performance with limited labelled endoscopic images.
Improving personal, social, and life skills in adolescents: a scoping review of key components in interventions
Authors: Aromatario Olivier , Velardo Fanny , Martel Emma , Couralet Delphine , Cambon Linda , Martin-Fernandez Judith 
Published: April 2024

Abstract
Aim
Numerous interventions focus on personal, social, and life skills in adolescents in order to provide them the knowledge required to acquire, apply, and mobilize their skills across various domains and challenges of everyday life and to help them to cope with life challenges and transition to adulthood. While various interventions targeting these skills have been developed, less is known about their key components, particularly the obstacles and levers that can impact the outcome of the intervention. This scoping review aims to bridge this gap by examining literature on the components of interventions that can effectively enhance the personal, social, and life skills of adolescents in various areas.

Methods
A scoping review was undertaken according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR) guidelines to identify obstacles and levers of interventions targeting adolescents’ skills.

Results
Seventy articles fulfilling the inclusion criteria were selected for data extraction. This work identified key elements that may influence the outcome of these interventions. Three main categories emerged: participation and involvement of participants, creation of a safe environment for the intervention, and anchoring change in the lives of adolescents.

Conclusion
Our results highlight the need to robustly present and detail interventions in the literature, including information on the intervention’s objective and mechanisms. Evaluations should therefore focus on the intervention system and on the underlying mechanisms through which it could have an impact, using more comprehensive methodologies.
Artificial neural networks with uniform norm-based loss functions
Authors: Peiris Vinesha , Roshchina Vera , Sukhorukova Nadezda 
Published: April 2024

AbstractWe explore the potential for using a nonsmooth loss function based on the max-norm in the training of an artificial neural network without hidden layers. We hypothesise that this may lead to superior classification results in some special cases where the training data are either very small or the class size is disproportional. Our numerical experiments performed on a simple artificial neural network with no hidden layer appear to confirm our hypothesis.
Triple Helix Dynamics and Hybrid Organizations: An Analysis of Value Creation Processes
Authors: Linton Gabriel 
Published: April 2024

Abstract
The Triple Helix model, focusing on interactions among academia, industry, and government, has been an influential model for promoting innovation and regional development. However, limited research explores the model’s micro-level dynamics, alling for further investigation into its effectiveness. This study seeks to fill this gap by critically examining the micro-level dynamics of the Triple Helix model, with an emphasis on the roles played by a hybrid organization in the value creation process. Utilizing a case study approach, this research examines Robotdalen—a successful Swedish applied research initiative in robotics—to answer the research questions: How do value-creation activities within a Triple Helix model evolve and how do hybrid organizations facilitate and shape value creation throughout the development stages of an organization? The analysis contributes a fine-grained view of value creation and development over time in a large Triple Helix innovation initiative, highlighting the importance of hybrid organizations in facilitating collaboration and coordinating resources among stakeholders. The results identify critical factors such as collaboration, commercialization, innovation, and adaptation. This research contributes new theoretical insights and practical implications for leveraging hybrid organizations within the Triple Helix framework, thereby providing valuable guidance for policymakers, practitioners, and scholars engaged in crafting strategies to stimulate regional growth, innovation, and value creation in today’s dynamic global landscape.
Organic geochemical evaluation of crude oils from some producing fields in the Niger Delta basin, Nigeria
Authors: Onojake Mudiaga Chukunedum , Nkanta Nsikan Edet , Osakwe Joseph Onyekwelu , Akpuluma David Akpoebi , Ohenhen Ikponmwosa , Osuji Leo Chigbu 
Published: April 2024

AbstractGeochemical and biomarker characteristics of representative crude oil samples from selected fields in southern Nigeria were evaluated to determine the organic matter input, origin of biological material, depositional environment, thermal maturity, and genetic relationship between the oils. Four crude oil samples were obtained from various oil producing fields from Delta, Bayelsa and Abia state in southern Nigeria and labeled Kwale (KW), Kolo creek (KLC), Owaza (OWA1 and OWA2). The crude oil samples were fractionated into saturates, aromatic hydrocarbons and polar compounds using column chromatography on silica gel thereafter, analyzed using Gas chromatography-mass spectrometry (GC–MS). The calculated ratios of normal alkanes, acyclic isoprenoids, carbon preference index (CPI), hopanes, and steranes showed the following results: Pr/Ph (0.34 to 0.89); C29/C27 (0.78 to 1.25); 20S/(20S + 20R)C29sterane (0.28 to 0.66); 22S/(22S + 22R)C32 homohopane (0.17 to 0.23); CPI (0.96 to 0.98); Ts/Ts + Tm (0.46 to 0.50); and sterane/hopane (0.16 to 0.87). The results obtained were used to correlate the crude oils with respect to depositional environment, thermal maturity, and organic matter source. The Pr/Ph ratios of KW and KLC were less than one, and the cross-plot of Pr/nC17 versus Ph/nC18 of KW and KLC suggested that the oils were deposited under anoxic environments, whereas OWA1 and OWA2 indicated oxic conditions with no biodegradation. From the calculated ratios of 22S (22S + 22R)C32 homohopane and CPI, the oils were mature and had entered the generating window. Sample OWA1 is the most mature, while KLC is the least mature. The calculated ratios also showed that the four oil samples were from a shale source rock with both terrestrial and marine inputs.
Assessment of an auto-routing method for topology generation of aircraft power supply systems
Authors: Bielsky Thimo , Kuelper Nils , Thielecke Frank 
Published: April 2024

AbstractDuring early phases of aircraft development, overall systems design is performed to estimate relevant system design parameters such as mass, power consumption, and compliance with architectural requirements (redundancy). The GeneSys software framework has been developed for parametric modeling of aircraft on-board systems for overall systems design. To this end, model-based architecture definition, topology generation (components positioning and connections routing), and system sizing are conducted. The topology generation is currently performed using design templates containing knowledge-based heuristics derived from systems topologies of existing aircraft. However, using such design templates limits their generic application to novel aircraft models because exceptions for geometric differences between these models need to be implemented. This especially applies to the topology generation of power supply systems (electric, hydraulic) due to their high number of interfaces to consumer systems. To overcome these limitations, an automated routing method is presented in this paper as a generic approach for topology generation. With this method, the system topology is generated based on a defined routing network, which comprises areas of the aircraft for allowed components positioning and connections routing. Using Dijkstra’s algorithm, the shortest path connections are found within the established routing network. Furthermore, boundary conditions for routing, for instance adding a cost function for power segregation, can be defined. An assessment of the automated routing method applied on the electric power supply system is performed using qualitative parameters such as the capability to adapt the routing network. Quantitative parameters like cable length and system mass are assessed as well.
Gender and Race Differences in Mental Health and Well-Being Among Older Americans During the COVID-19 Pandemic
Authors: Xu Dongjuan , Lalani Nasreen , Wang Yitong 
Published: April 2024

AbstractThe objectives of this study were to investigate (1) gender and race differences in mental health and psychological well-being among older adults during the COVID-19 pandemic and (2) whether there were significant interaction effects between gender and race. This study used the National Health and Aging Trends Study (NHATS) and COVID-19 public use data files. It focused on mental health and psychological well-being, including loneliness, no time to yourself, poor sleep quality, anxiety, depression, and post-traumatic stress disorder (PTSD). The sample consisted of 2465 older adults, and multivariate logistic and linear regression models were adopted for the analysis. The results show that approximately two out of five older people (43%) experienced poor sleep, followed by loneliness (35%), anxiety (30%), depression (23%), and no time to themselves (11%). The average PTSD score was 11. Mental health and psychological well-being varied by gender and race. There were significant interaction effects on anxiety and depression between females and Black older adults. Black females reported lower levels of anxiety and depressive symptoms than Black males, although the differences were not statistically significant. Black older adults were more likely to experience PTSD but less likely to feel lonely and have poorer sleep than their White counterparts. Female older adults reported poorer mental health and psychological well-being than males, except for Black females. Black females had the lowest levels of anxiety, depression, loneliness, and highest quality of sleep among all females of different ethnic and racial origins.
Recommendations for the management of myasthenia gravis in Belgium
Authors: De Bleecker Jan L. , Remiche Gauthier , Alonso-Jiménez Alicia , Van Parys Vinciane , Bissay Véronique , Delstanche Stéphanie , Claeys Kristl G. 
Published: April 2024

AbstractInternational guidelines on the treatment of myasthenia gravis (MG) have been published but are not tailored to the Belgian situation. This publication presents recommendations from a group of Belgian MG experts for the practical management of MG in Belgium. It includes recommendations for treatment of adult patients with generalized myasthenia gravis (gMG) or ocular myasthenia gravis (oMG). Depending on the MG-related antibody a treatment sequence is suggested with therapies that can be added on if the treatment goal is not achieved. Selection of treatments was based on the level of evidence of efficacy, registration and reimbursement status in Belgium, common daily practice and the personal views and experiences of the authors. The paper reflects the situation in February 2024. In addition to the treatment considerations, other relevant aspects in the management of MG are addressed, including comorbidities, drugs aggravating disease symptoms, pregnancy, and vaccination. As many new treatments might potentially come to market, a realistic future perspective on the impact of these treatments on clinical practice is given. In conclusion, these recommendations intend to be a guide for neurologists treating patients with MG in Belgium.