bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Comprehensive Overview on Chemotherapy-Induced Cardiotoxicity: Insights into the Underlying Inflammatory and Oxidative Mechanisms
Authors: Nagy András , Börzsei Denise , Hoffmann Alexandra , Török Szilvia , Veszelka Médea , Almási Nikoletta , Varga Csaba , Szabó Renáta 
Published: March 2024

AbstractWhile oncotherapy has made rapid progress in recent years, side effects of anti-cancer drugs and treatments have also come to the fore. These side effects include cardiotoxicity, which can cause irreversible cardiac damages with long-term morbidity and mortality. Despite the continuous in-depth research on anti-cancer drugs, an improved knowledge of the underlying mechanisms of cardiotoxicity are necessary for early detection and management of cardiac risk. Although most reviews focus on the cardiotoxic effect of a specific individual chemotherapeutic agent, the aim of our review is to provide comprehensive insight into various agents that induced cardiotoxicity and their underlying mechanisms. Characterization of these mechanisms are underpinned by research on animal models and clinical studies. In order to gain insight into these complex mechanisms, we emphasize the role of inflammatory processes and oxidative stress on chemotherapy-induced cardiac changes. A better understanding and identification of the interplay between chemotherapy and inflammatory/oxidative processes hold some promise to prevent or at least mitigate cardiotoxicity-associated morbidity and mortality among cancer survivors.
Insights into the Performance of Bimetallic Ru-Co/TiO2 Catalysts Carrying out a Low Temperature C3H8 Oxidation Reaction
Authors: Camposeco Roberto , Gómora-Herrera D. , Zanella Rodolfo 
Published: March 2024

AbstractThe performance of a set of bimetallic Ru-Co catalysts dispersed on the TiO2 anatase phase, synthesized by the co-deposition–precipitation with urea method, was tested in the CO2 production by the entire oxidation of C3H8. The presence of properly dispersed ruthenium nanoparticles on a Co/TiO2-anatase support was notably favorable for enhancing the C3H8 activity/selectivity. Likewise, an increase in the combined acidity (Brönsted and Lewis) was also observed, and the interaction between Ru0-CoOx species stabilized on TiO2 prompted the C3H8 oxidation at low temperature. The performance of bimetallic Ru-Co/TiO2 catalysts was enhanced by increasing Ru0 species and loading, showing more efficient C3H8 oxidation by the combination of Ru0-CoOx, as revealed by DRIFTS, XPS, H2-TPR, and HAADF-STEM characterization outcomes. The higher acidity of the catalysts containing Ru (1.5 wt%) and Co (3 wt%) as well as the reducibility enhancement of the Ru and Co species led to the best capacity of these catalysts for C3H8 oxidation to CO2 under the experimental conditions employed in this study.
Graphical Abstract
Evaluating Density Forecasts Using Weighted Multivariate Scores in a Risk Management Context
Authors: Cheng Jie 
Published: March 2024

AbstractScoring rules are commonly applied to assess the accuracy of density forecasts in both univariate and multivariate settings. In a financial risk management context, we are mostly interested in a particular region of the density: the (left) tail of a portfolio’s return distribution. The dependence structure between returns on different assets (associated with a given portfolio) is usually time-varying and asymmetric. In this paper, we conduct a simulation study to compare the discrimination ability between the well-established scores and their threshold-weighted versions with selected regions. This facilitates a comprehensive comparison of the performance of scoring rules in different settings. Our empirical applications also confirm the importance of weighted-threshold scores for accurate estimates of Value-at-risk and related measures of downside risk.
Teachers’ ICT in pedagogy: A case for mentoring and mirrored practice
Authors: Vandeyar Thirusellvan , Adegoke Oyebimpe Oluwatoyin 
Published: March 2024

AbstractThe rapid expansion of the knowledge society, due mainly to the ubiquity and access of information and communication technology (ICT), places a professional demand on teachers to acquire relevant knowledge to make use of technology in their classrooms. Thus, for teachers to effectively integrate ICT into their teaching repertoire, they must transform their pedagogical practices. In this regard, the quality of pre-service and in-service training is pivotal in preparing teachers for effective technology integration. Utilising a case study approach and Activity Theory principles as a theoretical lens, this study set out to explore the influence of ICT as a tool of instruction on the classroom practice of in-service teachers in Rwanda. Qualitative methods were employed to capture data through interviews, observations, and document analysis. Data was analysed using content analysis to understand in-service teachers’ constructions about learning through ICT and how it influenced their classroom practice. The investigation of the influence of ICT as an instructional tool to in-service teachers yielded unique patterns of their ICT learning-teaching experiences. The findings were two-fold. First, the ICT learning experiences of the in-service teachers changed their perspective towards teaching and learning with ICT in their own classrooms. Second, the teacher participants vicariously mirrored their lecturers’ use of ICT in their own classroom practice. This unintended experience created affordances for the in-service teacher trainees to not only learn ‘about’ ICT, but significantly ‘how to teach’ pedagogically with ICT. It is crucial for teacher trainees to experience the same type of learning environments they are expected to create in their own classrooms.
Countergradient turbulent transport in a plume with a crossflow
Authors: Fenton Daniel , Cimarelli Andrea , Mollicone Jean-Paul , van Reeuwijk Maarten , De Angelis Elisabetta 
Published: March 2024

AbstractDirect numerical simulation of a turbulent forced buoyant plume in a crossflow is performed at a source Reynolds number $${\text{ Re }}_0=1000$$

Re

0

=
1000

, Richardson number $$\mathrm{{Ri}}_0=1$$

Ri
0

=
1

, Prandtl number $$\mathrm{{Pr}}=1$$

Pr
=
1

and source-to-crossflow velocity ratio $$R_0=1$$

R
0

=
1

. The instantaneous and temporally averaged flow fields are assessed in detail, providing an overview of the flow dynamics. The velocity, temperature and pressure fields are used together with enstrophy fields to describe qualitatively the evolution of the plume as it is swept downstream by the crossflow, and the mechanisms involved in its evolution are outlined. The plume trajectory is determined quantitatively in a number of ways, and it is shown that the central streamline and the centre of buoyancy of the plume differ significantly—as with jets in crossflow, the central streamline is seen to follow the top of the plume, whereas the centre of buoyancy, by definition, describes the plume as a whole. We then investigate the turbulence properties inside the plume; in particular the eddy viscosity and diffusivity are presented, which are significant parameters in turbulence modelling. Assessment of turbulence production demonstrates the presence of regions where turbulence kinetic energy is redistributed to the kinetic energy of the mean flow, implying a negative eddy viscosity within certain regions of the domain. Similarly, the observation that the buoyancy flux and buoyancy gradient are anti-parallel in specific regions of the flow implies a negative eddy diffusivity in said regions, which must be realised in models of such flows in order to capture the countergradient transport of thermal properties. A characteristic eddy viscosity and diffusivity are presented, and shown to be approximately constant in the fully developed regime, resulting in a constant characteristic turbulent Prandtl number, in turn signifying self-similarity.
Diabetes and the risk of bladder cancer subtypes in men and women: results from the Netherlands Cohort Study
Authors: van den Brandt Piet A. 
Published: March 2024

AbstractMeta-analyses have shown modest positive associations between diabetes mellitus (DM) and bladder cancer risk, but results are heterogeneous. This might be due to lack of distinction between bladder cancer subtypes, between sexes, and possibly between Type 2 and Type 1 DM (T2DM and T1DM). The relationship of T2DM (and secondarily T1DM) characteristics with risk of bladder cancer subtypes (invasive versus noninvasive) was investigated in the Netherlands Cohort Study. In 1986, 120,852 men and women aged 55–69 years provided information on DM and lifestyle data. After 20.3 years of follow-up, multivariable case-cohort analyses were based on 1020 invasive and 1088 noninvasive bladder cancer cases, and 4267 subcohort members with complete data on DM and confounders. While T2DM was not associated with noninvasive bladder cancer, it was statistically significantly associated with invasive bladder cancer risk: the multivariable-adjusted was HR = 1.57 (95% CI 1.04–2.37), comparing participants with T2DM versus without DM. The association was only significant in women, and women showed a stronger association [HR = 2.19 (95% CI 1.10–4.34)] between T2DM and invasive bladder cancer than men [HR = 1.42 (95% CI 0.88–2.30)]; interaction by sex was nonsignificant. Associations were stronger positive in those whose age at diagnosis of T2DM was 55+ years, and in those diagnosed with T2DM less than five years before baseline. T2DM participants using antidiabetic medication had higher invasive bladder cancer risk than those without DM. Exploratory age-sex-adjusted analyses suggested a positive association between T1DM and invasive bladder cancer, but this was based on few cases. These findings suggest that T2DM and possibly T1DM are positively associated with invasive bladder cancer risk.
Automated workflows using Quantitative Colour Pattern Analysis (QCPA): a guide to batch processing and downstream data analysis
Authors: van den Berg Cedric P. , Condon Nicholas D. , Conradsen Cara , White Thomas E. , Cheney Karen L. 
Published: March 2024

AbstractAnimal and plant colouration presents a striking dimension of phenotypic variation, the study of which has driven general advances in ecology, evolution, and animal behaviour. Quantitative Colour Pattern Analysis (QCPA) is a dynamic framework for analysing colour patterns through the eyes of non-human observers. However, its extensive array of user-defined image processing and analysis tools means image analysis is often time-consuming. This hinders the full use of analytical power provided by QCPA and its application to large datasets. Here, we offer a robust and comprehensive batch script, allowing users to automate many QCPA workflows. We also provide a complimentary set of useful R scripts for downstream data extraction and analysis. The presented batch processing extension will empower users to further utilise the analytical power of QCPA and facilitate the development of customised semi-automated workflows. Such quantitatively scaled workflows are crucial for exploring colour pattern spaces and developing ever-richer frameworks for analysing organismal colouration accounting for visual perception in animals other than humans. These advances will, in turn, facilitate testing hypotheses on the function and evolution of vision and signals at quantitative and qualitative scales, which are otherwise computationally unfeasible.
Introducing UV–visible spectroscopy at high school level following the historical evolution of spectroscopic instruments: a proposal for chemistry teachers
Authors: Carpentieri Maria Antonietta , Domenici Valentina 
Published: March 2024

AbstractSpectroscopy is a scientific topic at the interface between Chemistry and Physics, which is taught at high school level in relation with its fundamental applications in Analytical Chemistry. In the first part of the paper, the topic of spectroscopy is analyzed having in mind the well-known Johnstone’s triangle of chemistry education, putting in evidence the way spectroscopy is usually taught at the three levels of chemical knowledge: macroscopic/phenomenological, sub-microscopic/molecular and symbolic ones. Among these three levels, following Johnstone’s recommendations the macroscopic one is the most useful for high school students who learn spectroscopy for the first time. Starting from these premises, in the second part of the paper, we propose a didactic sequence which is inspired by the historical evolution of spectroscopic instruments from the first spectroscopes invented by Gustav Kirchhoff and Robert Bunsen in 1860 to the UV–vis spectrophotometers which became common since the 1960s. The idea behind our research is to analyze the conceptual advancements through the history of spectroscopy and to identify the key episodes/experiments and spectroscopic instruments. For each of them, a didactic activity, typically an experiment, is then proposed underlining the relevant aspects from the chemistry education point of view. The present paper is the occasion to reflect on the potentialities of an historical approach combined with a laboratorial one, and to discuss the role of historical instruments and related technological improvements to teach spectroscopy.
Is there a preferred time interval between gonadotropin-releasing hormone (GnRH) agonist trigger and oocyte retrieval in GnRH antagonist cycles? A retrospective cohort of planned fertility preservation cycles
Authors: Ranit Hizkiyahu , Shmuel Herzberg , Ahlad Athavale , Shirley Greenbaum , Meny Harari , Tal Imbar , Assaf Ben-Meir , Chana Adler Lazarovits , Yaakov Bentov , Efrat Esh-Broder , Anat Hershko Klement 
Published: March 2024

Abstract
Background
The ideal time frame between gonadotropin-releasing hormone (GnRH) agonist (GnRHa) trigger administration and oocyte retrieval in GnRH antagonist cycles has not been well studied. Our goal was to evaluate the effect of this time interval on oocyte yield and oocyte maturation rate in GnRH antagonist cycles designated for non-medical (“planned”) oocyte cryopreservation.

Methods
We conducted a retrospective cohort study including patients who underwent elective fertility preservation, using the GnRH antagonist protocol and exclusively triggered by GnRH-agonist. We focused on the effect of the trigger-to-retrieval time interval on oocyte yield and maturation rate, while also incorporating age, body mass index (BMI), anti-Müllerian hormone (AMH) levels, basal Follicle-Stimulating Hormone (FSH) levels, as well as the type and dosage of gonadotropin FSH medication.

Results
438 cycles were included. Trigger-to-retrieval time interval ranged from 32.03 to 39.92 h. The mean oocyte yield showed no statistically significant difference when comparing retrievals < 36 h (n = 240, 11.86 ± 8.6) to those triggered at ≥ 36 h (n = 198, 12.24 ± 7.73) (P = 0.6). Upon dividing the cohort into four-time quartiles, no significant differences in the number of retrieved oocytes were observed (P = 0.54). Multivariate regression analysis failed to reveal any significant associations between the interval and the aforementioned variables.

Conclusions
The GnRHa trigger to oocyte retrieval interval range in our cohort did not significantly affect oocyte yield and maturation rate.
A motif-based probabilistic approach for community detection in complex networks
Authors: Hajibabaei Hossein , Seydi Vahid , Koochari Abbas 
Published: March 2024

AbstractCommunity detection in complex networks is an important task for discovering hidden information in network analysis. Neighborhood density between nodes is one of the fundamental indicators of community presence in the network. A community with a high edge density will have correlations between nodes that extend beyond their immediate neighbors, denoted by motifs. Motifs are repetitive patterns of edges observed with high frequency in the network. We proposed the PCDMS method (Probabilistic Community Detection with Motif Structure) that detects communities by estimating the triangular motif in the network. This study employs structural density between nodes, a key concept in graph analysis. The proposed model has the advantage of using a probabilistic generative model that calculates the latent parameters of the probabilistic model and determines the community based on the likelihood of triangular motifs. The relationship between observing two pairs of nodes in multiple communities leads to an increasing likelihood estimation of the existence of a motif structure between them. The output of the proposed model is the intensity of each node in the communities. The efficiency and validity of the proposed method are evaluated through experimental work on both synthetic and real-world networks; the findings will show that the community identified by the proposed method is more accurate and dense than other algorithms with modularity, NMI, and F1score evaluation metrics.
Stochastic Primal–Dual Hybrid Gradient Algorithm with Adaptive Step Sizes
Authors: Chambolle Antonin , Delplancke Claire , Ehrhardt Matthias J. , Schönlieb Carola-Bibiane , Tang Junqi 
Published: March 2024

AbstractIn this work, we propose a new primal–dual algorithm with adaptive step sizes. The stochastic primal–dual hybrid gradient (SPDHG) algorithm with constant step sizes has become widely applied in large-scale convex optimization across many scientific fields due to its scalability. While the product of the primal and dual step sizes is subject to an upper-bound in order to ensure convergence, the selection of the ratio of the step sizes is critical in applications. Up-to-now there is no systematic and successful way of selecting the primal and dual step sizes for SPDHG. In this work, we propose a general class of adaptive SPDHG (A-SPDHG) algorithms and prove their convergence under weak assumptions. We also propose concrete parameters-updating strategies which satisfy the assumptions of our theory and thereby lead to convergent algorithms. Numerical examples on computed tomography demonstrate the effectiveness of the proposed schemes.
Proposal to Observe Transverse Sound in Normal Liquid $$^3$$He in Aerogel
Authors: Sharma Priya 
Published: March 2024

AbstractIn the Fermi liquid metallic state, a static local magnetic moment is induced on the application of a circularly polarized electromagnetic wave, via the inverse Faraday effect (IFE). The direction of this moment is along the direction of propagation of light, and the magnitude of the moment depends on the frequency of light, the temperature and various material parameters characteristic of the metal. I propose an analogous effect in the Fermi liquid state of $$^3$$

3

He. A static circulating current is induced when liquid $$^3$$

3

He is driven by a circularly polarized transverse acoustic wave. For liquid $$^3$$

3

He filled into aerogel, the coupled system supports a low-attenuation transverse sound mode. I estimate the magnitude of induced circulating currents for this system and find that these are within the range of experimental measurement in the low-attenuation regime. The axis of circulation is along the direction of propagation of the acoustic wave. I propose this analogue of the inverse Faraday effect as a scheme to experimentally demonstrate the propagation of transverse sound in $$^3$$

3

He-aerogel.
Many-Stage Optimal Stabilized Runge–Kutta Methods for Hyperbolic Partial Differential Equations
Authors: Doehring Daniel , Gassner Gregor J. , Torrilhon Manuel 
Published: March 2024

AbstractA novel optimization procedure for the generation of stability polynomials of stabilized explicit Runge–Kutta methods is devised. Intended for semidiscretizations of hyperbolic partial differential equations, the herein developed approach allows the optimization of stability polynomials with more than hundred stages. A potential application of these high degree stability polynomials are problems with locally varying characteristic speeds as found for non-uniformly refined meshes and spatially varying wave speeds. To demonstrate the applicability of the stability polynomials we construct 2N-storage many-stage Runge–Kutta methods that match their designed second order of accuracy when applied to a range of linear and nonlinear hyperbolic PDEs with smooth solutions. These methods are constructed to reduce the amplification of round off errors which becomes a significant concern for these many-stage methods.
Reconstruction of the Ferromagnetic Hysteresis in the Rayleigh Regime by Means of Impedance Analysis of the Excitation Coil
Authors: Thieltges Sascha , Youssef Sargon , Hartmann Uwe 
Published: March 2024

AbstractFerromagnetic hysteresis measurements can be used to determine both magnetic and mechanical state variables that correlate with each other. Therefore, hysteresis measurements are suitable for mechanical material characterization. The application of standardized hysteresis measurement methods is complex and can only be used to a limited extent in an industrial environment. In this work, a BH (ferromagnetic hysteresis) curve is to be reconstructed on 22NiMoCr3-7 samples that are in different mechanically deformed states (different histories). The reconstruction of the hysteresis is performed by an impedance analysis of the H-field generating coil. The applied method demonstrates that the ferromagnetic hysteresis can be reconstructed by means of an impedance analysis and is sensitive to different states of plastical deformation.
What you see is what you get: the impact of blockchain technology transparency on consumers
Authors: Rapezzi Matilde , Pizzi Gabriele , Marzocchi Gian Luca 
Published: March 2024

AbstractBlockchain technology (BT) represents a chance to bolster consumer responses toward retailers due to its ability to ensure transparency in each transaction within supply chain. Relying on signaling theory, we propose and test a theoretical model to examine BT effects. We test our theorizing in three experiments involving a total of 1995 participants. Our results suggest that retailer transparency elicited by BT fosters enhanced quality perceptions and retailer trust. As a result, consumers display higher future intentions toward the retailer. The findings illustrate that information quantity moderates the effects of transparency. Furthermore, the studies rule out interactivity and mental imagery as two possible alternative explanations of the effects of BT transparency. Our findings shed light on the importance of transparency in the supply chain in influencing consumer responses toward retailers and encourage retailers to consider in-store technologies such as BT that enable consumers to access such information.