bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical and economic outcomes with rivaroxaban versus warfarin in patients with nonvalvular atrial fibrillation and obstructive sleep apnea: retrospective analysis of US healthcare claims
Authors: Natale Andrea , Mohanty Sanghamitra , Chen Cindy , Zhao Yuan , Campbell Alicia K. , Bookhart Brahim , Ashton Veronica 
Published: November 2024

Abstract
Background
Atrial fibrillation (AF) and obstructive sleep apnea (OSA) are often comorbid and associated with increased risk of cardiovascular events such as stroke. We evaluated the effectiveness, safety, healthcare resource utilization, and costs of rivaroxaban versus warfarin in patients with nonvalvular AF (NVAF) and comorbid OSA.

Methods
We used the IQVIA PharMetrics® Plus adjudicated claims database to evaluate patients with NVAF, OSA, and moderate-to-severe stroke risk who initiated rivaroxaban or warfarin between November 2011 and December 2022. We adjusted for potential confounders with propensity score overlap weighting. Primary endpoints were evaluated based on intent-to-treat (ITT) and on-treatment follow-up to compare stroke or systemic embolism risk, major bleeding risk, all-cause healthcare resource utilization (inpatient hospitalizations, emergency department visits, outpatient visits, and pharmacy fills), and costs (per patient per year [PPPY]) by treatment cohort.

Results
In total, 14,765 patients were included (9133 received rivaroxaban; 5632 received warfarin). Rivaroxaban significantly reduced stroke or systemic embolism versus warfarin by 26% (ITT—hazard ratio, 0.74 [95% CI 0.60–0.91]; P = 0.004) and 30% (on-treatment—hazard ratio, 0.70 [95% CI 0.55–0.89]; P = 0.004). Major bleeding was not significantly different between rivaroxaban and warfarin in either analysis. All-cause healthcare resource utilization was significantly reduced with rivaroxaban versus warfarin, leading to significantly reduced PPPY costs.

Conclusions
Among patients with NVAF and OSA, rivaroxaban was associated with a significant reduction in stroke or systemic embolism risk versus warfarin with no difference in major bleeding. Rivaroxaban significantly reduced healthcare resource utilization and costs compared with warfarin, providing support for the use of rivaroxaban in this population.
System architecture optimization strategies: dealing with expensive hierarchical problems
Authors: Bussemaker Jasper H. , Saves Paul , Bartoli Nathalie , Lefebvre Thierry , Lafage Rémi 
Published: November 2024

AbstractChoosing the right system architecture for the problem at hand is challenging due to the large design space and high uncertainty in the early stage of the design process. Formulating the architecting process as an optimization problem may mitigate some of these challenges. This work investigates strategies for solving system architecture optimization (SAO) problems: expensive, black-box, hierarchical, mixed-discrete, constrained, multi-objective problems that may be subject to hidden constraints. Imputation ratio, correction ratio, correction fraction, and max rate diversity metrics are defined for characterizing hierarchical design spaces. This work considers two classes of optimization algorithms for SAO: multi-objective evolutionary algorithms such as NSGA-II, and Bayesian optimization (BO) algorithms. A new Gaussian process kernel is presented that enables modeling hierarchical categorical variables, extending previous work on modeling continuous and integer hierarchical variables. Next, a hierarchical sampling algorithm that uses design space hierarchy to group design vectors by active design variables is developed. Then, it is demonstrated that integrating more hierarchy information in the optimization algorithms yields better optimization results for BO algorithms. Several realistic single-objective and multi-objective test problems are used for investigations. Finally, the BO algorithm is applied to a jet engine architecture optimization problem. This work shows that the developed BO algorithm can effectively solve the problem with one order of magnitude less function evaluations than NSGA-II. The algorithms and problems used in this work are implemented in the open-source Python library SBArchOpt.
Enhanced Stability in Quantum Optimal Transport Pseudometrics: From Hartree to Vlasov–Poisson
Authors: Iacobelli Mikaela , Lafleche Laurent 
Published: November 2024

AbstractIn this paper we establish almost-optimal stability estimates in quantum optimal transport pseudometrics for the semiclassical limit of the Hartree dynamics to the Vlasov–Poisson equation, in the regime where the solutions have bounded densities. We combine Golse and Paul’s method from [Arch Ration Mech Anal 223:57–94, 2017], which uses a semiclassical version of the optimal transport distance and which was adapted to the case of the Coulomb and gravitational interactions by the second author in [J Stat Phys 177:20–60, 2019], with a new approach developed by the first author in [Arch Ration Mech Anal 244:27–50, 2022] to quantitatively improve stability estimates in kinetic theory.
Keeping up with the Max Plancks? Germany’s quest for university excellence and the role of public research institutes in doctoral education
Authors: Buenstorf Guido , Koenig Johannes , Otto Anne 
Published: November 2024

Abstract
Doctoral education is a crucial stage in the academic socialization of early-career researchers. Prior research has shown that career paths and activities of Ph.D.s are shaped by the universities and departments in which they were trained. To widen this focus, we analyze the role of public research organizations (PROs) and private-sector firms as organizational employment contexts of doctoral education. The empirical context of our study is Germany, where PROs and firms employ large numbers of doctoral candidates and provide the organizational environment for their dissertation research. Utilizing a novel process-generated dataset that covers about 40,000 STEM Ph.D.s who graduated from 1995 to 2011, we find that Ph.D.s employed at PROs during doctoral education are more likely to stay in academia than their university-employed peers. Despite extensive policy efforts that sought to strengthen the research performance of German universities, doctoral candidates employed at basic research-oriented PROs had the strongest cross-cohort increase in their post-graduation academic employment share. This group also experienced the most pronounced fall in the share of high post-graduation income owners. Industry-employed doctoral candidates are unlikely to migrate to the academic sector and have the highest likelihood of obtaining high post-graduation incomes.
Calcination Temperature Impacting the Structure and Activity of CuAl Catalyst in Aqueous Glycerol Hydrogenolysis to 1,2-Propanediol
Authors: Mane Rasika , Potdar Aparna , Jeon Yukwon , Rode Chandrashekhar 
Published: November 2024

Abstract
This study investigated the impact of calcination temperature on the structural properties of CuAl catalyst which was found to be a robust nano-structured catalyst calcined directly without ramping at 400 °C and performed exceedingly well for aqueous phase hydrogenolysis of glycerol. Various samples of CuAl catalysts were prepared by co-precipitation at Cu: Al molar ratio 1:1 and were calcined at different temperatures (300–1000 °C). The obtained catalysts were reduced at 200 °C before their activity testing for glycerol hydrogenolysis reaction. To correlate the structure-activity, the catalysts were thoroughly characterized by XRD, XPS, BET, TEM, H2-TPR, NH3-TPD, and pyridine FTIR. It was observed that with an increase in calcination temperature from 300 to 700 °C, the glycerol conversion also increased from 47 to 55% with 93% selectivity to 1,2-PDO. The better performance of these catalysts was mainly related to the predominant presence of Brønsted acid sites, an appropriate ratio of the Cu0 to CuAl2O4 + CuO (0.33) and CuAl2O4 to CuO phases (0.35), the existence of Cu2O phase and the smaller Cu0 particle size. It was shown that altering the ramping rate for the calcination temperature of 400 °C impacted the catalytic activity. The CuAl-400 (DC) (direct calcined) catalyst exhibited a maximum glycerol conversion of 60%.
Development of a genotype-matched Newcastle disease DNA vaccine candidate adjuvanted with IL-28b for the control of targeted velogenic strains of Newcastle disease virus in Africa
Authors: Amoia Charlie F. , Chengula Augustino A. , Hakizimana Jean N. , Wambura Philemon N. , Munir Muhammad , Misinzo Gerald , Weger-Lucarelli James 
Published: November 2024

Abstract
Newcastle disease virus (NDV) is an extremely contagious and deadly virus that affects numerous bird species, posing serious threats to poultry production on a global scale. In addition to implementing biosecurity practices in farming systems, vaccination remains the most effective means of controlling Newcastle disease (ND). However, while existing commercial vaccines provide some level of protection, the effectiveness of these vaccines can be questionable, particularly in field settings where the complexity of vaccination program implementation poses significant challenges, especially against virulent genotypes of NDV. A genotype-matched NDV DNA vaccine could potentially offer a more effective vaccination approach than currently available live attenuated vaccines. By being specifically tailored to match circulating strains, such a vaccine might improve efficacy and reduce the risk of vaccine failure due to genotype mismatch. To develop an alternative vaccine approach, two ND DNA vaccines were constructed in this study. Each vaccine developed in this study contains the fusion (F) and haemagglutinin-neuraminidase (HN) genes of a virulent NDV genotype VII isolate from Tanzania. Interferon lambda-3 (IFNλ3; IL-28b), which has demonstrated capacity to significantly enhance specific adaptive immune responses and decreased levels of inflammatory cytokines, as well as improved protective responses at a high viral challenge dose, was included in one of the developed vaccines. These plasmids were designated pTwist-F-HN-VII-IL28b and pTwist-F-HN-VII. The two plasmids differed in that pTwist-F-HN-VII-IL28b contained the cytokine adjuvant IL-28b. Transfection of cells and subsequent immunofluorescence assays indicated that both plasmids expressed high levels of NDV F-HN proteins. In vivo immunization demonstrated that chicks intramuscularly immunized with pTwist-F-HN-VII-IL28b exhibited significant immune responses compared to chicks immunized with pTwist-F-HN-VII or the commonly used LaSota vaccine (LaSota), which was used as a control. The protective efficacy of pTwist-F-HN-VII-IL28b was 80% after challenge with the highly virulent NDV strain ON148423, compared to 60% for chicks vaccinated using LaSota, and pTwist-F-HN-VII. The findings of this study indicate that IL-28b can be employed as a molecular adjuvant for NDV vaccines. This study represents a key milestone in Newcastle disease vaccine research, particularly in the development of a genotype-matched DNA vaccine candidate. Additionally, this study demonstrated that the combination of F, HN, and IL-28b elicits an efficacious immune response against virulent NDV strains.
Local Climate Governance: Towards more Interactive Practices and Settings?
Authors: Evers Adalbert , Schmid Verena 
Published: November 2024

AbstractWhile environmental challenges are high on the public agenda, they have raised many questions concerning the ability of society and politics to cope with them. In liberal democracies, they challenge the traditional interplay between the state, business sector, and the various forces of civil society. Relating to the concepts of a more interactive and collaborative governance agenda, this study focuses on the local level of climate governance in municipalities and urban politics. It is based on material, documents, and interviews with representatives of public administration and civil society from seven major towns in Baden-Württemberg, Germany. Our findings show progress in local governance, driven by municipal climate action plans, the recognition of climate action as a cross-cutting issue, and the influence of national and federal policies and programmes. The study identifies four main forms of revitalising and institutionalising intermediation across sectors: (1) public participation through various formats meant to give citizens a voice; (2) stakeholder involvement for co-designing measures and plans by partners and opponents most affected; (3) strategies of influencing public opinion and the prevailing discourse on climate politics; and (4) forms of co-production in policy implementation. While the impact of these forms of conflict management, bridge-building, or even cooperation may vary, they altogether define the nature of local interactive governance and its capacities for promoting sustainable development and democracy.
Machine learning-based monitoring and design of managed aquifer rechargers for sustainable groundwater management: scope and challenges
Authors: Sheik Abdul Gaffar , Kumar Arvind , Sharanya Anandan Govindan , Amabati Seshagiri Rao , Bux Faizal , Kumari Sheena 
Published: November 2024

AbstractManaged aquifer recharge (MAR) replenishes groundwater by artificially entering water into subsurface aquifers. This technology improves water storage, reduces over-extraction, and ensures water security in water-scarce or variable environments. MAR systems are complex, encompassing various components such as water storage, soil, meteorological factors, groundwater management (GWM), and receiving bodies. Over the past decade, the utilization of machine learning (ML) methodologies for MAR modeling and prediction has increased significantly. This review evaluates all supervised, semi-supervised, unsupervised, and ensemble ML models employed to predict MAR factors and parameters, rendering it the most comprehensive contemporary review on this subject. This study presents a concise and integrated overview of MAR’s most effective ML approaches, focusing on design, suitability for water quality (WQ) applications, and GWM. The paper examines performance measures, input specifications, and the variety of ML functions employed in GWM, and highlights prospects. It also offers suggestions for utilizing ML in MAR, addressing issues related to physical aspects, technical advancements, and case studies. Additionally, previous research on ML-based data-driven and soft sensing techniques for MAR is critically evaluated. The study concludes that integrating ML into MAR systems holds significant promise for optimizing WQ management and enhancing the efficiency of groundwater replenishment strategies.
Functional ZnONPs‐modified biochar derived from Funtumia elastica husk as an efficient adsorbent for the removal of sulfamethoxazole from wastewater
Authors: Amaku James Friday , Mtunzi Fanyana M. 
Published: November 2024

AbstractFuntumia elastica husk was employed as an efficient and economically viable adsorbent to supplement traditional treatment methods in the removal of sulfamethoxazole from wastewater by converting it into usable material. The purpose of this study was to make biochar (FHB) from Funtumia elastica husk through the pyrolysis process and further modify the biochar using zinc oxide nanoparticles (ZnONPs) to a nanocomposite (FBZC). The antioxidant and antimicrobial characteristics as well as the potential of FBZC and FHB to sequester sulfamethoxazole from wastewater were investigated. Uptake capacities of 59.34 mg g−1 and 26.18 mg g−1 were attained for the monolayer adsorption of SMX onto FBZC and FHB, respectively. SEM and FTIR spectroscopic techniques were used to determine the surface morphology and chemical moieties of adsorbents, respectively. Brunauer–Emmett–teller (BET) surface analysis was used to assess the specific surface area of FHB (0.5643 m2 g−1) and FBZC (1.2267 m2 g−1). The Elovich and pseudo-first-order models are both well-fitted by the experimental data for FHB and FBZC, according to kinetic results. Nonetheless, the equilibrium data for FHB and FBZC were better explained by the Freundlich and Langmuir isotherm models, respectively. The pHPZC values of 6.83 and 5.57 were determined for FBZC and FHB respectively. Optimum solution pH, dosage, and contact time of 6, 0.05 g, and 120 min were estimated for FHB and FBZC. In conclusion, these findings demonstrate the strong potential of FBZC to simultaneously arrest the spread of pathogenic microbes and sequester sulfamethoxazole from wastewater.
Sulfoquinovosyl diacylglycerol, a component of Holy Basil Ocimum tenuiflorum, inhibits the activity of the SARS-CoV-2 main protease and viral replication in vitro
Authors: Koze Hinako , Sudoh Masayuki , Onitsuka Satoaki , Okamura Hiroaki , Ishikawa Takeshi , Tani Fumito , Miyata-Yabuki Yukako , Shirouzu Mikako , Baba Masanori , Okamoto Mika , Hamada Toshiyuki 
Published: November 2024

Abstract
The persistence of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the emergence of new mutant strains continue to present a substantial threat with potential for future pandemics. Safe, effective, and readily available COVID-19 therapeutics are urgently needed to prepare for future coronavirus pandemics. To help identify new antiviral agents, the present study focused on natural products in the extracts of Holy Basil, Ocimum tenuiflorum L., which show potential inhibitory effects against the SARS-CoV-2 main protease (Mpro). Bioassay-guided isolation of the MeOH extracts of O. tenuiflorum led to the identification of a sulfur-containing glyceroglycolipid, sulfoquinovosyl diacylglycerol (SQDG: 1), as a potent Mpro inhibitor that effectively inhibited Mpro activity (IC50: 0.42 µM). SQDG (1) also markedly suppressed SARS-CoV-2 replication (EC50, 51.2 µM) in vitro while displaying no cytotoxicity (CC50 > 100 µM). Further inhibition kinetic studies and docking simulations clearly demonstrated that SQDG strongly inhibited SARS-CoV-2 Mpro
in a competitive and mixed-inhibition manner. These findings highlight SQDG as a promising lead compound for COVID-19 therapy and emphasize the need to explore new drugs from natural sources.

Graphical Abstract
Association between patient position-induced breast shape changes on prone and supine MRI and mammographic breast density or thickness
Authors: Amano Maki , Amano Yasuo , Ishibashi Naoya , Yamaguchi Takeshi , Watanabe Mitsuhiro 
Published: November 2024

Abstract
Purpose
The breast shape differs between the prone position in breast magnetic resonance imaging (MRI) and the supine position on an operating table. We sought to determine the relationship between patient position-induced changes on prone and supine MRI in breast shape and mammographic breast density or thickness.

Materials and methods
We evaluated data from 68 women with 69 breast cancers in this retrospective observational study. The difference in the minimal distance from the nipple to the pectoralis major (DNPp-s) or the internal thoracic artery between the prone and supine MRI (DNIs-p) was defined as the breast shape changes. Mammographic breast density was assessed by conventional 4-level classification and automated and manual quantification using a dedicated mammography viewer. The compressed breast thickness was recorded during mammography (MMG). We determined the association between patient position-induced breast shape changes on MRI and mammographic breast density or compressed breast thickness on MMG.

Results
On the conventional 4-level qualification, one breast appeared fatty, 39 appeared with scattered density, 23 appeared heterogeneously dense, and 6 breasts appeared extremely dense. Both automated and manual quantification of mammographic breast density differed between the 4 levels (p < 0.01 for both) and correlated with the 4 levels (p < 0.001 for both, r = 0.654 and 0.693, respectively). The manual quantification inversely correlated with DNPp-s and DNIs-p (p < 0.01 and < 0.05, r =  − 0.330 and − 0.273, respectively). The compressed breast thickness significantly correlated with DNPp-s and DNIs-p (p < 0.01 for both, r = 0.648 and 0.467, respectively).

Conclusion
Compressed breast thickness during MMG can predict the degree of patient position-induced changes in breast shape on MRI. The manual quantification of the mammographic breast density, which may reflect the biomechanical properties of the breast tissues, also correlates to the breast shape changes.
The Integrative Critique of Democracy: Three Key Strands of Antidemocratic Thought in the History of Ideas and Their Recurrence in Contemporary Antipopulism
Authors: Jörke Dirk 
Published: November 2024

Abstract
This article shows that contemporary antipopulism utilises antidemocratic figures of thought that date back to ancient Greece. First, three complementary strategies of defence against demands for equal political and social participation are identified on the basis of three stages in the history of ideas (Greek antiquity, the American Revolution at the end of the eighteenth century, and early liberalism in the nineteenth century). First, devaluation: Here, groups of people are described as irrational and easily seduced, which is why they are excluded from political decision-making processes. Second, institutionalisation: If the complete exclusion of the many is not possible, then the establishment of an institutional filter system offers the possibility of restricting their political scope. Third, without the other two strategies disappearing, since the 19th century there has been an increasing demand to educate the social classes, who are not yet considered politically capable, to become good citizens. Subsequently, the return of these three antidemocratic figures of thought is demonstrated using exemplary contributions to the populism debate. The article concludes with the diagnosis that contemporary antipopulism is faced with the challenge of labelling as democratic those institutions that are supposed to limit democracy. This is why the widespread invocation of democracy in the fight against “populism” seems so helpless.