bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation Method for Reverse Recovery Characteristics of Thyristors Based on Charge Measurement
Authors: Zha Kunpeng , Gu Bowen , Guo Ningming , Zhu Yuan , Zhang Wuyu , Zhang Xiangyu 
Published: November 2023

Abstract
The change of operation mode of the HVDC project causes a change of the external characteristic of the converter valve, and the reverse recovery characteristic of the thyristor inside the converter valve changes accordingly. Therefore, the reverse recovery charge measurement values of thyristors under different operating conditions cannot be directly compared, and the status of thyristors cannot be evaluated online. Therefore, a method of measuring the reverse recovery charge of series thyristor based on the turn-off voltage is presented in this paper. Then, the operation mode of the HVDC project is analyzed, and the external characteristics of the converter valve under different operation modes are discussed. Secondly, the external factors that affect the reverse recovery characteristics of thyristors are analyzed essentially, and the relationship between the external factors and the external characteristics of the converter valve is discussed. A reverse recovery charge model considering external factors is established, and a method to reduce the error is proposed. Finally, the reverse-recovery charge normalization coefficient is derived for the normalization of the measured values in different working conditions. Based on the charge online measurement method and the normalization method proposed in this paper, the reverse-recovery characteristic evaluation method of the thyristor is proposed, and the evaluation steps are introduced.
Optimal Dispatch of Concentrating Solar Thermal Power (CSP)-Wind Combined Power Generation System
Authors: Qi Yanming , Ma Shangang , Jin Fubao , Zhou Dengtao , Li Ruobing 
Published: November 2023

Abstract
The random nature of renewable energy leads to the instability of the balance state of the power grid, and the frequency and voltage of the grid also fluctuate. Considering that wind energy and solar thermal power generation can complement each other in terms of temporal output power, the heat storage system of the solar thermal power station is used to regulate the joint operation of the solar thermal power station and wind power generation, and an optimal scheduling method for promoting new energy consumption of solar thermal power station is proposed. Based on the solar thermal-wind combined power generation system, the method considers the operating characteristics and constraints of each unit and uses the MATLAB optimization toolbox to simulate and verify the IEEE-14 node system. The results show that the participation of wind power grid-connected time thermal power stations can alleviate the pressure of rapid output adjustment of traditional units and can ensure the economy of the system, and the operating cost is reduced by 51.5%. The curtailment air volume was reduced from the original 2.5015 MW to 0.83015 MW, maximizing new energy consumption.
Laplace transformations and sine-Gordon type integrable PDE
Authors: Habibullin I T , Faizulina K I , Khakimova A R 
Published: November 2023

Abstract
It is well known that the Laplace cascade method is an effective tool for constructing solutions to linear equations of hyperbolic type, as well as nonlinear equations of the Liouville type. The connection between the Laplace method and soliton equations of hyperbolic type remains less studied. The article shows that the Laplace cascade also has important applications in the theory of hyperbolic equations of the soliton type. Laplace’s method provides a simple way to construct such fundamental objects related to integrability theory as the recursion operator, the Lax pair and Dubrovin-type equations, allowing one to find algebro-geometric solutions. As an application of this approach, previously unknown recursion operators and Lax pairs are found for two nonlinear integrable equations of the sine-Gordon type.
Non-thermal atmospheric-pressure positive pulsating corona discharge in degradation of textile dye Reactive Blue 19 enhanced by Bi2O3 catalyst
Authors: PETROVIĆ Milica , RADIVOJEVIĆ Dragan , RANČEV Saša , VELINOV Nena , KOSTIĆ Miloš , BOJIĆ Danijela , BOJIĆ Aleksandar 
Published: November 2023

Abstract
In this work, monoclinic Bi2O3 was applied for the first time, to the best of our knowledge, as a catalyst in the process of dye degradation by a non-thermal atmospheric-pressure positive pulsating corona discharge. The research focused on the interaction of the plasma-generated species and the catalyst, as well as the role of the catalyst in the degradation process. Plasma decomposition of the anthraquinone reactive dye Reactive Blue 19 (RB 19) was performed in a self-made reactor system. Bi2O3 was prepared by electrodeposition followed by thermal treatment, and characterized by x-ray diffraction, scanning electron microscopy and energy-dispersive x-ray techniques. It was observed that the catalyst promoted decomposition of plasma-generated H2O2 into •OH radicals, the principal dye-degrading reagent, which further attacked the dye molecules. The catalyst improved the decolorization rate by 2.5 times, the energy yield by 93.4% and total organic carbon removal by 7.1%. Excitation of the catalyst mostly occurred through strikes by plasma-generated reactive ions and radical species from the air, accelerated by the electric field, as well as by fast electrons with an energy of up to 15 eV generated by the streamers reaching the liquid surface. These strikes transferred the energy to the catalyst and created the electrons and holes, which further reacted with H2O2 and water, producing •OH radicals. This was indentified as the primary role of the catalyst in this process. Decolorization reactions followed pseudo first-order kinetics. Production of H2O2 and the dye degradation rate increased with increase in the input voltage. The optimal catalyst dose was 500 mg∙dm−3. The decolorization rate was a little lower in river water compared with that in deionized water due to the side reactions of •OH radicals with organic matter and inorganic ions dissolved in the river water.
Gyro-Landau-fluid simulations of impurity effects on ion temperature gradient driven turbulence transport
Authors: LIU 刘 Yifei 逸飞 , LI 李 Jiquan 继全 
Published: November 2023

Abstract
The effects of impurities on ion temperature gradient (ITG) driven turbulence transport in tokamak core plasmas are investigated numerically via global simulations of microturbulence with carbon impurities and adiabatic electrons. The simulations use an extended fluid code (ExFC) based on a four-field gyro-Landau-fluid (GLF) model. The multispecies form of the normalized GLF equations is presented, which guarantees the self-consistent evolution of both bulk ions and impurities. With parametric profiles of the cyclone base case, well-benchmarked ExFC is employed to perform simulations focusing on different impurity density profiles. For a fixed temperature profile, it is found that the turbulent heat diffusivity of bulk ions in a quasi-steady state is usually lower than that without impurities, which is contrary to the linear and quasi-linear predictions. The evolutions of the temperature gradient and heat diffusivity exhibit a fast relaxation process, indicating that the destabilization of the outwardly peaked impurity profile is a transient state response. Furthermore, the impurity effects from different profiles can obviously influence the nonlinear critical temperature gradient, which is likely to be dominated by linear effects. These results suggest that the improvement in plasma confinement could be attributed to the impurities, most likely through adjusting both heat diffusivity and the critical temperature gradient.
Spatiotemporal variability in population demography and morphology of the habitat-forming macroalga Saccorhiza polyschides in the Western English Channel
Authors: Salland Nora , Wilding Catherine , Jensen Antony , Smale Dan A 
Published: November 2023

Abstract

Background and Aims
Large brown macroalgae serve as foundation organisms along temperate and polar coastlines, providing a range of ecosystem services. Saccorhiza polyschides is a warm-temperate kelp-like species found in the northeast Atlantic, which is suggested to have proliferated in recent decades across the southern UK, possibly in response to increasing temperatures, physical disturbance and reduced competition. However, little is known about S. polyschides with regard to ecological functioning and population dynamics across its geographical range. Here we examined the population demography of S. polyschides populations in southwest UK, located within the species’ range centre, to address a regional knowledge gap and to provide a baseline against which to detect future changes.

Methods
Intertidal surveys were conducted during spring low tides at three sites along a gradient of wave exposure in Plymouth Sound (Western English Channel) over a period of 15 months. Density, cover, age, biomass and morphology of S. polyschides were quantified. Additionally, less frequent sampling of shallow subtidal reefs was conducted to compare intertidal and subtidal populations.

Key Results
We recorded pronounced seasonality, with fairly consistent demographic patterns across sites and depths. By late summer, S. polyschides was a dominant habitat-former on both intertidal and subtidal reefs, with maximum standing stock exceeding 13 000 g wet weight m−2.

Conclusions
Saccorhiza polyschides is a conspicuous and abundant member of rocky reef assemblages in the region, providing complex and abundant biogenic habitat for associated organisms and high rates of primary productivity. However, its short-lived pseudo-annual life strategy is in stark contrast to dominant long-lived perennial laminarian kelps. As such, any replacement or reconfiguration of habitat-forming macroalgae due to ocean warming will probably have implications for local biodiversity and community composition. More broadly, our study demonstrates the importance of high-resolution cross-habitat surveys to generate robust baselines of kelp population demography, against which the ecological impacts of climate change and other stressors can be reliably detected.
Validity assessment in Eastern Europe: cross-validation of the Dot Counting Test and MODEMM against the TOMM-1 and Rey-15 in a Romanian mixed clinical sample
Authors: Crișan Iulia , Sava Florin Alin 
Published: November 2023

Abstract

Objective
This study investigated performance validity in the understudied Romanian clinical population by exploring classification accuracies of the Dot Counting Test (DCT) and the first Romanian performance validity test (PVT) (Memory of Objects and Digits and Evaluation of Memory Malingering/MODEMM) in a heterogeneous clinical sample.

Methods
We evaluated 54 outpatients (26 females; MAge = 62.02; SDAge = 12.3; MEducation = 2.41, SDEducation = 2.82) with the Test of Memory Malingering 1 (TOMM-1), Rey Fifteen Items Test (Rey-15) (free recall and recognition trials), DCT, MODEMM, and MMSE/MoCA as part of their neuropsychological assessment. Accuracy parameters and base failure rates were computed for the DCT and MODEMM indicators against the TOMM-1 and Rey-15. Two patient groups were constructed according to psychometrically defined credible/noncredible performance (i.e., pass/fail both TOMM-1 and Rey-15).

Results
Similar to other cultures, a cutoff of ≥18 on the DCT E score produced the best combination between sensitivity (0.50–0.57) and specificity (≥0.90). MODEMM indicators based on recognition accuracy, inconsistencies, and inclusion false positives generated 0.75–0.86 sensitivities at ≥0.90 specificities. Multivariable models of MODEMM indicators reached perfect sensitivities at ≥0.90 specificities against two PVTs. Patients who failed the TOMM-1 and Rey-15 were significantly more likely to fail the DCT and MODEMM than patients who passed both PVTs.

Conclusions
Our results offer proof of concept for the DCT’s cross-cultural validity and the applicability of the MODEMM on Romanian clinical examinees, further recommending the use of heterogeneous validity indicators in clinical assessments.
Generalized kernel two-sample tests
Authors: Song Hoseung , Chen Hao 
Published: November 2023

Summary
Kernel two-sample tests have been widely used for multivariate data to test equality of distributions. However, existing tests based on mapping distributions into a reproducing kernel Hilbert space mainly target specific alternatives and do not work well for some scenarios when the dimension of the data is moderate to high due to the curse of dimensionality. We propose a new test statistic that makes use of a common pattern under moderate and high dimensions and achieves substantial power improvements over existing kernel two-sample tests for a wide range of alternatives. We also propose alternative testing procedures that maintain high power with low computational cost, offering easy off-the-shelf tools for large datasets. The new approaches are compared to other state-of-the-art tests under various settings and show good performance. We showcase the new approaches through two applications: the comparison of musks and nonmusks using the shape of molecules, and the comparison of taxi trips starting from John F. Kennedy airport in consecutive months. All proposed methods are implemented in an R package kerTests.
Crowdsourcing temporal transcriptomic coronavirus host infection data: Resources, guide, and novel insights
Authors: Flynn James , Ahmadi Mehdi M , McFarland Chase T , Kubal Michael D , Taylor Mark A , Cheng Zhang , Torchia Enrique C , Edwards Michael G 
Published: November 2023

Abstract
The emergence of severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) reawakened the need to rapidly understand the molecular etiologies, pandemic potential, and prospective treatments of infectious agents. The lack of existing data on SARS-CoV-2 hampered early attempts to treat severe forms of coronavirus disease-2019 (COVID-19) during the pandemic. This study coupled existing transcriptomic data from severe acute respiratory syndrome-related coronavirus 1 (SARS-CoV-1) lung infection animal studies with crowdsourcing statistical approaches to derive temporal meta-signatures of host responses during early viral accumulation and subsequent clearance stages. Unsupervised and supervised machine learning approaches identified top dysregulated genes and potential biomarkers (e.g. CXCL10, BEX2, and ADM). Temporal meta-signatures revealed distinct gene expression programs with biological implications to a series of host responses underlying sustained Cxcl10 expression and Stat signaling. Cell cycle switched from G1/G0 phase genes, early in infection, to a G2/M gene signature during late infection that correlated with the enrichment of DNA damage response and repair genes. The SARS-CoV-1 meta-signatures were shown to closely emulate human SARS-CoV-2 host responses from emerging RNAseq, single cell, and proteomics data with early monocyte-macrophage activation followed by lymphocyte proliferation. The circulatory hormone adrenomedullin was observed as maximally elevated in elderly patients who died from COVID-19. Stage-specific correlations to compounds with potential to treat COVID-19 and future coronavirus infections were in part validated by a subset of twenty-four that are in clinical trials to treat COVID-19. This study represents a roadmap to leverage existing data in the public domain to derive novel molecular and biological insights and potential treatments to emerging human pathogens.
The ERA Registry Annual Report 2021: a summary
Authors: Boerstra Brittany A , Boenink Rianne , Astley Megan E , Bonthuis Marjolein , Abd ElHafeez Samar , Arribas Monzón Federico , Åsberg Anders , Beckerman Pazit , Bell Samira , Cases Amenós Aleix , Castro de la Nuez Pablo , ten Dam Marc A G J , Debska-Slizien Alicja , Gjorgjievski Nikola , Guidotti Rebecca , Helve Jaakko , Hommel Kristine , Idrizi Alma , Indriðason Ólafur S , Jarraya Faiçal , Kerschbaum Julia , Komissarov Kirill S , Kozliuk Nadiia , Kravljaca Milica , Lassalle Mathilde , De Meester Johan M , Ots-Rosenberg Mai , Plummer Zoe , Radunovic Danilo , Razvazhaieva Olena , Resic Halima , Rodríguez Arévalo Olga Lucía , Santiuste de Pablos Carmen , Seyahi Nurhan , Slon-Roblero María Fernanda , Stendahl Maria , Tolaj-Avdiu Miloreta , Trujillo-Alemán Sara , Ziedina Ieva , Ziginskiene Edita , Ortiz Alberto , Jager Kitty J , Stel Vianda S , Kramer Anneke 
Published: November 2023

ABSTRACT

Background
The European Renal Association (ERA) Registry collects data on kidney replacement therapy (KRT) in patients with end-stage kidney disease (ESKD). This paper is a summary of the ERA Registry Annual Report 2021, including a comparison across treatment modalities.

Methods
Data was collected from 54 national and regional registries from 36 countries, of which 35 registries from 18 countries contributed individual patient data and 19 registries from 19 countries contributed aggregated data. Using this data, incidence and prevalence of KRT, kidney transplantation rates, survival probabilities and expected remaining lifetimes were calculated.

Result
In 2021, 533.2 million people in the general population were covered by the ERA Registry. The incidence of KRT was 145 per million population (pmp). In incident patients, 55% were 65 years or older, 64% were male, and the most common primary renal disease (PRD) was diabetes (22%). The prevalence of KRT was 1040 pmp. In prevalent patients, 47% were 65 years or older, 62% were male, and the most common PRDs were diabetes and glomerulonephritis/sclerosis (both 16%). On 31 December 2021, 56% of patients received haemodialysis, 5% received peritoneal dialysis, and 39% were living with a functioning graft. The kidney transplantation rate in 2021 was 37 pmp, a majority coming from deceased donors (66%). For patients initiating KRT between 2012–2016, 5-year survival probability was 52%. Compared to the general population, life expectancy was 65% and 68% shorter for males and females receiving dialysis, and 40% and 43% shorter for males and females living with a functioning graft.
Eosinophils in obesity and obesity-associated disorders
Authors: Hu Yanan , Chakarov Svetoslav 
Published: November 2023

Summary
Despite the rising prevalence and costs for the society, obesity etiology, and its precise cellular and molecular mechanisms are still insufficiently understood. The excessive accumulation of fat by adipocytes plays a key role in obesity progression and has many repercussions on total body physiology. In recent years the immune system as a gatekeeper of adipose tissue homeostasis has been evidenced and has become a focal point of research. Herein we focus on eosinophils, an important component of type 2 immunity, assuming fundamental, yet ill-defined, roles in the genesis, and progression of obesity and related metabolic disorders. We summarize eosinophilopoiesis and eosinophils recruitment into adipose tissue and discuss how the adipose tissue environments shape their function and vice versa. Finally, we also detail how obesity transforms the local eosinophil niche. Understanding eosinophil crosstalk with the diverse cell types within the adipose tissue environment will allow us to framework the therapeutic potential of eosinophils in obesity.
Microvascular dysfunction following deferred stenting strategy in ST-segment elevation myocardial infarction: a case report
Authors: Albistur Sebastian , Torrado Juan , Niell Nicolás , Mila Rafael 
Published: November 2023

Abstract

Background
ST-segment elevation myocardial infarction (STEMI) has traditionally been managed with immediate reperfusion of the culprit artery, primarily through percutaneous coronary intervention and stent placement. Emerging data are highlighting the crucial importance of post-infarct microcirculatory function assessment.

Case summary
This report presents a patient with an inferior STEMI who was successfully reperfused without stent implantation. Tools such as optical coherence tomography, fractional flow reserve, and positron emission tomography computed tomography N-13 ammonia were utilized, offering comprehensive insights into the anatomical and functional characteristics of both the epicardial vessel and microcirculation.

Discussion
The recovery of the reversible component of microcirculatory dysfunction, observable as early as 5 days post-infarction, might carry significant implications for clinical decision-making. Such insights can potentially influence contemporary treatment strategies, including the consideration of deferred stenting. This case underscores the significance of post-infarct microcirculatory function and its potential impact on therapeutic approaches.
Feasibility and accuracy of real-time 3D-holographic graft length measurements
Authors: Tsai Tsung-Ying , Kageyama Shigetaka , He XingQiang , Pompilio Giulio , Andreini Daniele , Pontone Gianluca , La Meir Mark , De Mey Johan , Tanaka Kaoru , Doenst Torsten , Puskas John , Teichgräber Ulf , Schneider Ulrich , Gupta Himanshu , Leipsic Jonathon , Garg Scot , C. Revaiah Pruthvi , Stanuch Maciej , Skalski Andrzej , Onuma Yoshinobu , Serruys Patrick W 
Published: November 2023

Abstract

Aims
Mixed reality (MR) holograms can display high-definition images while preserving the user’s situational awareness. New MR software can measure 3D objects with gestures and voice commands; however, these measurements have not been validated. We aimed to assess the feasibility and accuracy of using 3D holograms for measuring the length of coronary artery bypass grafts.

Methods and results
An independent core lab analyzed follow-up computer tomography coronary angiograms performed 30 days after coronary artery bypass grafting in 30 consecutive cases enrolled in the FASTTRACK CABG trial. Two analysts, blinded to clinical information, performed holographic reconstruction and measurements using the CarnaLife Holo software (Medapp, Krakow, Poland). Inter-observer agreement was assessed in the first 20 cases. Another analyst performed the validation measurements using the CardIQ W8 CT system (GE Healthcare, Milwaukee, Wisconsin). Seventy grafts (30 left internal mammary artery grafts, 31 saphenous vein grafts, and 9 right internal mammary artery grafts) were measured. Holographic measurements were feasible in 97.1% of grafts and took 3 minutes 36 s ± 50.74 s per case. There was an excellent inter-observer agreement [interclass correlation coefficient (ICC) 0.99 (0.97–0.99)]. There was no significant difference between the total graft length on hologram and CT [187.5 mm (157.7–211.4) vs. 183.1 mm (156.8–206.1), P = 0.50], respectively. Hologram and CT measurements are highly correlated (r = 0.97, P &lt; 0.001) with an excellent agreement [ICC 0.98 (0.97–0.99)].

Conclusion
Real-time holographic measurements are feasible, quick, and accurate even for tortuous bypass grafts. This new methodology can empower clinicians to visualize and measure 3D images by themselves and may provide insights for procedural strategy.