bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discovering the sustainable development role of fintech credit and the pilot low carbon project on greenwashing in China
Authors: Pata Ugur Korkut , Si Mohammed Kamel , Nassani Abdelmohsen A. , Ghosh Sudeshna 
Published: May 2024

AbstractLow-carbon development is important to reduce global warming, allow people to live in normal temperatures and climates, and limit the loss of labor productivity by avoiding air pollution. However, greenwashing prevents low-carbon development by making companies appear more eco-friendly than they are. Therefore, this study examines the influence of financial technology (FinTech) credit and the implementation of the Pilot Low Carbon Project on corporate greenwashing in China from 2015 to 2021. The study uses the method of moment quantile regression (MMQR) to determine that FinTech credit and low- carbon projects prevent greenwashing behavior and promote environmentally sustainable corporate practices in China. Fintech plays a crucial role in monitoring the environmental impact of urban development, especially in the context of the Low Carbon City Initiative. The influence of Fintech Credit on greenwashing experiences a notable reduction in the higher quantiles, especially between the 75th and 95th culminating in a significant decrease to approximately − 0.07. Companies outside the low carbon city areas consistently experience a negative impact of Fintech Credit on greenwashing. This investigation contributes significantly to the discourse on the interplay between greenwashing, FinTech and sustainable urban development. It also provides valuable insights for the development of strategies aimed at mitigating misleading environmental claims made by companies.
Linking Striatal Dopaminergic Asymmetry with Personality Traits: Insights from Gambling Disorder
Authors: Di Carlo Francesco , Pettorruso Mauro , Santorelli Mario , Cocciolillo Fabrizio , d’Andrea Giacomo , Di Nicola Marco , Sensi Stefano S. , Martinotti Giovanni , Grant Jon E. , Camardese Giovanni , Di Giuda Daniela 
Published: May 2024

AbstractThe role of dopamine in the pathophysiology of gambling disorder (GD) remains incompletely understood, with disparate research findings concerning presynaptic and postsynaptic structures and dopaminergic synthesis. The aim of this study was to investigate potential correlations between striatal dopamine transporter (DAT) lateralization and asymmetry index, as assessed by 123I-FP-CIT SPECT, and temperamental traits, as measured by Cloninger’s Temperament and Character Inventory (TCI), in GD subjects. Significant associations were found between DAT binding asymmetries in the caudate and putamen and the temperamental dimensions of harm avoidance and novelty seeking. Specifically, high novelty seeking scores correlated with increased DAT binding in the left caudate relative to the right, whereas higher harm avoidance scores corresponded to increased DAT binding in the right putamen relative to the left. These observations potentially imply that the asymmetry in DAT expression in the basal ganglia could be an outcome of hemispheric asymmetry in emotional processing and behavioural guidance. In summary, our study provides evidence supporting the relationship between DAT asymmetries, temperamental dimensions and GD. Future investigations could be directed towards examining postsynaptic receptors to gain a more comprehensive understanding of dopamine's influence within the basal ganglia circuit in disordered gambling. If confirmed in larger cohorts, these findings could have substantial implications for the tailoring of individualized neuromodulation therapies in the treatment of behavioural addictions.
Diversity, equity, and inclusion in paleolimnology: insights from the 2022 IAL-IPA symposium
Authors: Pérez Liseth , de Tezano Pinto Paula , Echeverría-Galindo Paula , Charqueño-Celis Fernanda , Shinneman Avery Cook , Myrbo Amy , Tonello Marcela Sandra , Bücker Matthias , Brenner Mark , Bennion Helen , Massaferro Julieta 
Published: May 2024

AbstractThis report provides insights into ways that paleolimnology is becoming, and can continue to be more diverse, equitable and inclusive. Ideas presented here came during the organization, and in part, out of a special session held during the Joint Meeting of the International Association of Limnogeology (IAL) and the International Paleolimnology Association (IPA), conducted virtually (27–29 April 2022) and in-person, in Bariloche, Argentina (27 November to 1 December 2022). It was the first time in 55 years that the combined IAL-IPA meeting (held separately prior to 2018) hosted a special session to address issues beyond the value of scientific information in lake sediments. That session, “Beyond just research data: the value of outreach, education, equality, and inclusion around lakes,” included topics such as Third Mission activities, i.e., the economic and social missions of universities and how they contribute to the broader community. It also addressed challenges to diversifying our Earth Science community, which is still characterized by underrepresentation of women, especially at the highest academic levels, suffers from the “parenthood effect,” which affects both women and men, and often fails to adequately support dual-career couples, especially in Europe. Efforts to enhance diversity, equity and inclusion (DEI) included: (1) a virtual IAL-IPA meeting for Early Career Researchers (ECRs), conducted months before the in-person conference in Argentina, (2) a special session on DEI challenges and values, (3) financial support for ECRs and attendees from low-income countries, (4) equitable ECR awards, (5) consideration of gender equity during plenary and oral presentations, (6) remote presentations, including both live and pre-recorded talks, (7) utilization of multiple communication platforms to disseminate information to conference participants, and organization of science-communication activities, and (8) pre- and post-conference courses and workshops. These efforts were supported by the local organizing committee and by the establishment of the first DEI Working Group. ECRs dominated the in-person Joint Meeting (200 of 300 attendees), which we view as an opportunity to promote changes in our discipline. We encourage members of our community to work collaboratively to shape diverse research groups and identify leaders who will promote more equitable and inclusive workplaces.
Does derivative usage boost firm value in an economy with controls? Evidence from India
Authors: Gupta Praveen , Mallick Sushanta , Bathia Deven 
Published: May 2024

AbstractThe role of derivatives on firm valuation has recently become a subject of intense debate for emerging markets where there is greater asset price volatility, illiquidity, and the absence of common regulations and accounting standards. Given the lack of data availability, disclosure inconsistency and distinctive regulatory requirements for Indian firms, we assess the impact of corporate hedging via derivative use on the performance of BSE-100 non-financial firms over the period 2010–2017. Our results from keywords-based hand-collected derivative usage data show that all types of derivatives, except rate derivatives, have a significant and positive impact on firm value through channels of reduced earnings volatility and increased leverage with tax benefits. Firms with greater leverage tend to benefit from the use of rate derivatives. Still, among those highly leveraged firms, the ones who experience high earnings volatility are unable to benefit from rate derivatives. Besides, hedge accounting benefits firms in dealing with earnings volatility when they have higher derivatives exposure. As capital controls on international flows can limit the use of derivatives, we show that firms with currency risk exposure in terms of long-term foreign currency debt do benefit from rate derivatives. Our results are also robust with a matched sample for derivative users and non-users. Overall, we conclude that easing regulatory controls on derivatives dealings can be beneficial for firms in growing emerging economies.
Coronal Signatures of Flare Generated Fast-Mode Wave at EUV and Radio Wavelengths
Authors: Vasanth V. 
Published: May 2024

AbstractThis paper presents a detailed study of the type II solar radio burst that occurred on 06 March 2014 using combined data analysis. It is a classical radio event consisting of type III radio burst and a following type II radio burst in the dynamic spectrum. The type II radio burst is observed between 235 – 130 MHz (120 – 60 MHz) in harmonic (fundamental) bands with the life time of 5 minutes between 09:26 – 09:31 UT. The estimated speed of type II burst by applying two-fold Saito model is ∼ 650 km s−1. An extreme ultraviolet (EUV) wave is observed with Atmospheric Imaging Assembly (AIA) onboard the Solar Dynamics Observatory (SDO). The very close temporal onset association of the EUV wave and flare energy release indicates that the EUV wave is likely produced by a flare pressure pulse. The eruption is also accompanied by a weak coronal mass ejection (CME) observed with the coronagraphs onboard the Solar and Heliospheric Observatory (SOHO) and the twin Solar Terrestrial Relations Observatory (STEREO). The plane of sky speed of the CME was ∼ 252 km s−1 in the SOHO/LASCO-C2 and ∼ 280 km s−1 in the STEREO-B/SECCHI-COR1 images. The EUV wave has two wave fronts, one expanding radially outward and the other one moving along the flare loop arcade. The source position of the type II burst imaged by the Nançay Radio Heliograph (NRH) shows that it was associated with the outward moving EUV wave. The CME is independent of the shock wave as confirmed by the location of NRH radio sources below the CME’s leading edge. Therefore the type II radio burst is probably ignited by the flare. This study shows the possibility of EUV wave and coronal shock triggered by flare pressure pulse, generating the observed type II radio burst.
Effectiveness of remote monitoring in improving CPAP compliance and the impact of preexisting organisation of standard care: a randomised controlled trial
Authors: van der Kleij Stephan , de Backer Ingrid , Hanraets Barbara , Verbraecken Johan , Asin Jerryll 
Published: May 2024

Abstract
Purpose
Continuous positive airway pressure (CPAP) is often the treatment of choice for obstructive sleep apnea (OSA). Short-term adherence and early perceived benefits are the best predictors of long-term adherence. The aim of this study was to determine the effect of telemonitoring in the first period of treatment with CPAP (auto-titrating PAP) on compliance and the long-term outcome.

Methods
Patients aged between 18–75 years old with symptomatic severe OSA (apnea–hypopnea index (AHI) ≥ 30) requiring CPAP therapy were included in this single-blind, single-centre, randomised, controlled trial. They were divided into 2 groups (telemonitored standard clinical care versus standard clinical care without telemonitoring).

Results
A total of 230 patients (115 patients/group) were included (mean age 54 ± 16.6 years, BMI 32.6 ± 5.4 kg/m2, ESS 13.1 ± 6.2, AHI 47.5 ± 14.8/hr). At week 10 compliance was similar in both groups (telemonitoring vs control 6:27 and 6:35 h, respectively, p = 0.57), as were AHI (2.4; 2.4/hr, p = 0.89) and ESS (5.8; 4.9, p = 0.22). The number of contacts of a patient with a healthcare professional was significantly higher during the follow-up from week 3 until week 10 (0.25; 0.13, p = 0.03). The number of patients who could be evaluated after 1 year was equally distributed in both groups (104; 104, p = 1.00), as were compliance (6:43; 6:49 h, p = 0.59) and residual AHI (1.9; 2.2/hr, p = 0.41).

Conclusions
In patients with severe OSA with standard intensive follow-up during the initial weeks of CPAP therapy and good compliance, telemonitoring did not improve CPAP compliance nor the clinical outcome in the short or long term. The practical consequences can be highly relevant for patients and healthcare professionals.
Topics in group schemes and surfaces in positive characteristic
Authors: Tziolas Nikolaos 
Published: May 2024

AbstractThis paper is based on a series of talks that the author gave at the University of Edinburgh in March 2023 on surfaces in positive characteristic. In particular, infinitesimal group schemes and their actions on algebraic surfaces are discussed, the structure of the automorphism group scheme of a surface of general type and the failure of the Kodaira vanishing theorem.
Fracture risk prediction in postmenopausal women from GO Study: the comparison between FRAX, Garvan, and POL-RISK algorithms
Authors: Pluskiewicz W. , Werner A. , Bach M. , Adamczyk P. , Drozdzowska B. 
Published: May 2024

Abstract
Summary
In the longitudinal, retrospective study, the ability of the FRAX, Garvan, and POL-RISK algorithms to predict osteoporotic fractures was compared in a group of 457 women. Using the rigid threshold of 10% showed a significant discrepancy in sensitivity and specificity of all tools. New thresholds for high risk of fractures were established for each calculator separately: 6.3% for FRAX major fracture, 20.0% for Garvan any fracture, and 18.0% for POL-RISK any fracture. Such thresholds allow for improving the diagnostic accuracy of all three calculators.

Introduction
The aim of the longitudinal, retrospective study was to compare three tools designed to assess fracture risk: FRAX, Garvan, and POL-RISK in their prediction of fracture incidence.

Material
The study group consisted of 457 postmenopausal women with a mean age of 64.21 ± 5.94 years from the Gliwice Osteoporosis (GO) Study. Comprehensive data on clinical factors related to fractures were collected for all participants. Bone densitometry was performed at the proximal femur using the Prodigy device (GE, USA). Fracture risk was established using the FRAX, Garvan, and POL-RISK algorithms. Data on the incidence of osteoporotic fractures were collected over the last 10 years.

Results
During the period of observation 72, osteoporotic fractures occurred in 63 subjects. For a preliminary comparison of the predictive value of analyzed diagnostic tools, the fracture risk threshold of 10% was used. For FRAX, the fracture probability exceeding 10% was observed only in 11 subjects who experienced fractures; thus, the fracture was properly predicted only in 22.9% of women. For Garvan, the respective value was 90.5%, and for POL-RISK, it was 98.4%. That gave a very low true positive value for FRAX and a very high false positive value for Garvan and POL-RISK. Based on ROC curves, new thresholds for high risk of fractures were established for each calculator separately: 6.3% for FRAX major fracture, 20.0% for Garvan any fracture, and 18.0% for POL-RISK any fracture. Such thresholds improve the diagnostic accuracy of all compared fracture prediction tools.

Conclusion
The current study showed that different fracture risk assessment tools, although having similar clinical purposes, require different cut-off thresholds for making therapeutic decisions. Better identification of patients requiring therapy based on such an approach may help reduce the number of new fractures.
Mixed-integer quadratic optimization and iterative clustering techniques for semi-supervised support vector machines
Authors: Burgard Jan Pablo , Pinheiro Maria Eduarda , Schmidt Martin 
Published: May 2024

AbstractAmong the most famous algorithms for solving classification problems are support vector machines (SVMs), which find a separating hyperplane for a set of labeled data points. In some applications, however, labels are only available for a subset of points. Furthermore, this subset can be non-representative, e.g., due to self-selection in a survey. Semi-supervised SVMs tackle the setting of labeled and unlabeled data and can often improve the reliability of the results. Moreover, additional information about the size of the classes can be available from undisclosed sources. We propose a mixed-integer quadratic optimization (MIQP) model that covers the setting of labeled and unlabeled data points as well as the overall number of points in each class. Since the MIQP’s solution time rapidly grows as the number of variables increases, we introduce an iterative clustering approach to reduce the model’s size. Moreover, we present an update rule for the required big-M values, prove the correctness of the iterative clustering method as well as derive tailored dimension-reduction and warm-starting techniques. Our numerical results show that our approach leads to a similar accuracy and precision than the MIQP formulation but at much lower computational cost. Thus, we can solve larger problems. With respect to the original SVM formulation, we observe that our approach has even better accuracy and precision for biased samples.
The Role of Multimodality Imaging in Cardiomyopathy
Authors: Pan Jonathan A. , Patel Amit R. 
Published: May 2024

Abstract
Purpose of Review
There has been increasing use of multimodality imaging in the evaluation of cardiomyopathies.

Recent Findings
Echocardiography, cardiac magnetic resonance (CMR), cardiac nuclear imaging, and cardiac computed tomography (CCT) play an important role in the diagnosis, risk stratification, and management of patients with cardiomyopathies.

Summary
Echocardiography is essential in the initial assessment of suspected cardiomyopathy, but a multimodality approach can improve diagnostics and management. CMR allows for accurate measurement of volumes and function, and can easily detect unique pathologic structures. In addition, contrast imaging and parametric mapping enable the characterization of tissue features such as scar, edema, infiltration, and deposition. In non-ischemic cardiomyopathies, metabolic and molecular nuclear imaging is used to diagnose rare but life-threatening conditions such amyloidosis and sarcoidosis. There is an expanding use of CCT for planning electrophysiology procedures such as cardioversion, ablations, and device placement. Furthermore, CCT can evaluate for complications associated with advanced heart failure therapies such as cardiac transplant and mechanical support devices. Innovations in multimodality cardiac imaging should lead to increased volumes and better outcomes.
Liquid profiling for patients with advanced cancer is ready for clinical integration
Authors: Hasenleithner Samantha O. , Heitzer Ellen 
Published: May 2024

SummaryMolecular profiling of circulating tumor DNA (ctDNA) to guide treatment decisions has found its way into routine management of patients with advanced cancer. This represents a pivotal advancement in precision oncology, offering a non-invasive and fast-tracked method to detecting clinically relevant biomarkers. With the backing of international oncology guidelines, ctDNA analysis is now a standard approach to consider in molecular diagnostics. Despite the promise of ctDNA in refining treatment strategies through the detection of genomic alterations and treatment-relevant biomarkers with high concordance to tissue biopsies, challenges persist. These include the interpretation of discordances due to tumor heterogeneity, sampling biases, and technical limitations, alongside the differentiation of tumor-derived mutations from clonal hematopoiesis. The current consensus supports the utility of comprehensive genomic profiling (CGP) panels for a broad spectrum of actionable targets, while acknowledging the limitations and advocating for a balanced application of “tissue-first” and “plasma-first” approaches tailored to individual patient scenarios. The essential role of molecular tumor boards (MTBs) is in navigating the complexities of ctDNA data interpretation, thereby ensuring the effective incorporation of liquid biopsy into personalized cancer treatment regimens.
Crosstalk among proximal tubular cells, macrophages, and fibroblasts in acute kidney injury: single-cell profiling from the perspective of ferroptosis
Authors: Wang Yulin , Shen Ziyan , Mo Shaocong , Zhang Han , Chen Jing , Zhu Cheng , Lv Shiqi , Zhang Di , Huang Xinhui , Gu Yulu , Yu Xixi , Ding Xiaoqiang , Zhang Xiaoyan 
Published: May 2024

AbstractThe link between ferroptosis, a form of cell death mediated by iron and acute kidney injury (AKI) is recently gaining widespread attention. However, the mechanism of the crosstalk between cells in the pathogenesis and progression of acute kidney injury remains unexplored. In our research, we performed a non-negative matrix decomposition (NMF) algorithm on acute kidney injury single-cell RNA sequencing data based specifically focusing in ferroptosis-associated genes. Through a combination with pseudo-time analysis, cell–cell interaction analysis and SCENIC analysis, we discovered that proximal tubular cells, macrophages, and fibroblasts all showed associations with ferroptosis in different pathways and at various time. This involvement influenced cellular functions, enhancing cellular communication and activating multiple transcription factors. In addition, analyzing bulk expression profiles and marker genes of newly defined ferroptosis subtypes of cells, we have identified crucial cell subtypes, including Egr1 + PTC-C1, Jun + PTC-C3, Cxcl2 + Mac-C1 and Egr1 + Fib-C1. All these subtypes which were found in AKI mice kidneys and played significantly distinct roles from those of normal mice. Moreover, we verified the differential expression of Egr1, Jun, and Cxcl2 in the IRI mouse model and acute kidney injury human samples. Finally, our research presented a novel analysis of the crosstalk of proximal tubular cells, macrophages and fibroblasts in acute kidney injury targeting ferroptosis, therefore, contributing to better understanding the acute kidney injury pathogenesis, self-repairment and acute kidney injury-chronic kidney disease (AKI-CKD) progression.
Complex-valued Wigner entropy of a quantum state
Authors: Cerf Nicolas J. , Hertz Anaelle , Van Herstraeten Zacharie 
Published: May 2024

AbstractIt is common knowledge that the Wigner function of a quantum state may admit negative values, so that it cannot be viewed as a genuine probability density. Here, we examine the difficulty in finding an entropy-like functional in phase space that extends to negative Wigner functions and then advocate the merits of defining a complex-valued entropy associated with any Wigner function. This quantity, which we call thecomplex Wigner entropy, is defined via the analytic continuation of Shannon’s differential entropy of the Wigner function in the complex plane. We show that the complex Wigner entropy enjoys interesting properties, especially its real and imaginary parts are both invariant under Gaussian unitaries (displacements, rotations, and squeezing in phase space). Its real part is physically relevant when considering the evolution of the Wigner function under a Gaussian convolution, while its imaginary part is simply proportional to the negative volume of the Wigner function. Finally, we define the complex-valued Fisher information of any Wigner function, which is linked (via an extended de Bruijn’s identity) to the time derivative of the complex Wigner entropy when the state undergoes Gaussian additive noise. Overall, it is anticipated that the complex plane yields a proper framework for analyzing the entropic properties of quasiprobability distributions in phase space.