bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimation of absolute GNSS satellite antenna group delay variations based on those of absolute receiver antenna group delays
Authors: Beer Susanne , Wanninger Lambert , Heßelbarth Anja 
Published: June 2021

AbstractGNSS satellite and receiving antennas exhibit group delay variations (GDV), which affect code pseudorange measurements. Like antenna phase center variations, which affect phase measurements, they are frequency-dependent and vary with the direction of the transmitted and received signal. GNSS code observations contain the combined contributions of satellite and receiver antennas. If absolute GDV are available for the receiver antennas, absolute satellite GDV can be determined. In 2019, an extensive set of absolute receiver antenna GDV was published and, thus, it became feasible to estimate absolute satellite antenna GDV based on terrestrial observations. We used the absolute GDV of four selected receiver antenna types and observation data of globally distributed reference stations that employ these antenna types to determine absolute GDV for the GPS, GLONASS, Galileo, BeiDou, and QZSS satellite antennas. Besides BeiDou-2 satellites whose GDV are known to reach up to 1.5 m peak-to-peak, the GPS satellites show the largest GDV at frequencies L1 and L5 with up to 0.3 and 0.4 m peak-to-peak, respectively. They also show the largest satellite-to-satellite variations within a constellation. The GDV of GLONASS-M satellites reach up to 25 cm at frequency G1; Galileo satellites exhibit the largest GDV at frequency E6 with up to 20 cm; BeiDou-3 satellites show the largest GDV of around 15 cm at frequencies B1-2 and B3. Frequencies L2 of GPS IIIA, E1 of Galileo FOC, and B2a/B2b of BeiDou-3 satellites are the least affected. Their variations are below 10 cm.
Consistent oviposition preferences of the Duke of Burgundy butterfly over 14 years on a chalk grassland reserve in Bedfordshire, UK
Authors: Hayes M. P. , Ashe-Jepson E. , Hitchcock G. E. , Knock R. I. , Lucas C. B. H. , Bladon A. J. , Turner E. C. 
Published: June 2021

Abstract
The Duke of Burgundy butterfly (Hamearis lucina) is known to have specific habitat requirements for its larval foodplants. However, no studies have yet investigated whether these preferences vary over time or in relation to climate, and there is a paucity of data on whether management on reserves can replicate preferred conditions. Here, we build upon existing research to confirm which characteristics Duke of Burgundy prefer for their larval foodplants, whether preferences remain consistent across years, and whether conservation management on reserves can replicate these conditions. Fieldwork was carried out at Totternhoe Quarry Reserve, a chalk grassland site in Bedfordshire, UK. Confirming previous research, we found that large Primula plants in dense patches were chosen for oviposition, but that once chosen there was no preference to lay eggs on a plant’s largest leaf. Chosen foodplants were also more sheltered and in closer proximity to scrub than their controls. However, at a finer scale, we found little evidence for any preference based on differences in microclimate, or vegetation height immediately surrounding the plants. This suggests features that alter microclimatic conditions at a larger scale are relatively more important for determining the suitability of oviposition sites. Nearly all preferences remained consistent over time and did not vary between years. Management of scrub on the reserve was able to reproduce some preferred habitat features (high plant density), but not others (large plant size).

Implications for insect conservation
The consistency of findings across years, despite inter-annual variation in temperature, rainfall and number of adults, indicates that the Duke of Burgundy is conservative in its foodplant choice, highlighting its need for specific habitat management. Targeted management for foodplants could form part of a tractable set of tools to support Duke of Burgundy numbers on reserves, but a careful balance is needed to avoid scrub clearance leaving plants in sub-optimal conditions.
Thermomagnetic Correlation in La0.85-xBixNa0.15MnO3 Soft Ferromagnet due to Nonmagnetic Bi3+ Substitution
Authors: Mendonca Lozil Denzil , Murari M. S. , Daivajna Mamatha D. 
Published: June 2021

AbstractWe report the structural, magnetic, and magnetocaloric properties of Bismuth (Bi)-substituted manganite La0.85-xBixNa0.15MnO3 (x=0, 0.1, 0.2, 0.25, and 0.3). X-ray diffraction data implicates the rhombohedral structure with $$ R\overline{3}c $$
R

3
¯

c
space group. Bi2O3 has helped in ensuring phase pure, densified compounds even at low sintering temperature and hence avoiding the evaporation of volatile sodium. The increase in grain size and decrease in magnetic transition temperature (TC) are due to the Bi chemical activity and electronic structure. The samples have shown indirect magnetic transformation from soft ferromagnet to canted ferromagnet/antiferromagnet with Bi. Griffiths phase-like behavior in the inverse magnetic susceptibility was observed for x=0.1; with further increase in Bi, the samples are found to develop the antiferromagnetic competing phase. The phenomenological model was used to model the thermomagnetic behavior of all the samples. The sample with x=0.1 shows an increase in magnetic entropy change upon Bi substitution and the maximum of magnetic entropy change is seen at 275K emphasizing its potential in room temperature magnetic refrigeration.
Time-Non-Local Pearson Diffusions
Authors: Ascione Giacomo , Leonenko Nikolai , Pirozzi Enrica 
Published: June 2021

AbstractIn this paper we focus on strong solutions of some heat-like problems with a non-local derivative in time induced by a Bernstein function and an elliptic operator given by the generator or the Fokker–Planck operator of a Pearson diffusion, covering a large class of important stochastic processes. Such kind of time-non-local equations naturally arise in the treatment of particle motion in heterogeneous media. In particular, we use spectral decomposition results for the usual Pearson diffusions to exploit explicit solutions of the aforementioned equations. Moreover, we provide stochastic representation of such solutions in terms of time-changed Pearson diffusions. Finally, we exploit some further properties of these processes, such as limit distributions and long/short-range dependence.
Differential insulin sensitivity of NMR-based metabolomic measures in a two-step hyperinsulinemic euglycemic clamp study
Authors: Wang Wenyi , van Dijk Ko Willems , Wijsman Carolien A. , Rozing Maarten P. , Mooijaart Simon P. , Beekman Marian , Slagboom P. Eline , Jukema J. Wouter , Noordam Raymond , van Heemst Diana 
Published: June 2021

Abstract
Background
Insulin is the key regulator of glucose metabolism, but it is difficult to dissect direct insulin from glucose-induced effects. We aimed to investigate the effects of hyperinsulemia on metabolomic measures under euglycemic conditions in nondiabetic participants.

Methods
We assessed concentrations of 151 metabolomic measures throughout a two-step hyperinsulinemic euglycemic clamp procedure. We included 24 participants (50% women, mean age = 62 [s.d. = 4.2] years) and metabolomic measures were assessed under baseline, low-dose (10 mU/m2/min) and high-dose (40 mU/m2/min) insulin conditions. The effects of low- and high-dose insulin infusion on metabolomic measures were analyzed using linear mixed-effect models for repeated measures.

Results
After low-dose insulin infusion, 90 metabolomic measures changed in concentration (p < 1.34e−4), among which glycerol (beta [Confidence Interval] =  − 1.41 [− 1.54, − 1.27] s.d., p = 1.28e−95) and three-hydroxybutyrate (− 1.22 [− 1.36, − 1.07] s.d., p = 1.44e−61) showed largest effect sizes. After high-dose insulin infusion, 121 metabolomic measures changed in concentration, among which branched-chain amino acids showed the largest additional decrease compared with low-dose insulin infusion (e.g., Leucine, − 1.78 [− 1.88, − 1.69] s.d., P = 2.7e−295). More specifically, after low- and high-dose insulin infusion, the distribution of the lipoproteins shifted towards more LDL-sized particles with decreased mean diameters.

Conclusion
Metabolomic measures are differentially insulin sensitive and may thus be differentially affected by the development of insulin resistance. Moreover, our data suggests insulin directly affects metabolomic measures previously associated with increased cardiovascular disease risk.
Exploring the relations between teachers’ cue-utilization, monitoring and regulation of students’ text learning
Authors: van de Pol Janneke , van den Boom-Muilenburg Selia N. , van Gog Tamara 
Published: June 2021

AbstractThis study investigated teachers’ monitoring and regulation of students’ learning from texts. According to the cue-utilization framework (Koriat, in Journal of Experimental Psychology, 126, 349–370, 1997), monitoring accuracy depends on how predictive the information (or cues) that teachers use to make monitoring judgments actually is for students’ performance. Accurate monitoring of students’ comprehension is considered a precondition for adaptive regulation of students’ learning. However, these assumptions have not yet been directly investigated. We therefore examined teachers’ cue-utilization and how it affects their monitoring and regulation accuracy. In a within-subjects design, 21 secondary education teachers made monitoring judgments and regulation decisions for fifteen students under three cue-availability conditions: 1) only student cues (i.e., student’s name), 2) only performance cues (i.e., diagrams students completed about texts they had read), and 3) both student and performance cues (i.e., student’s name and completed diagram). Teachers’ absolute and relative monitoring accuracy was higher when having student cues available in addition to diagram cues. Teachers’ relative regulation accuracy was higher when having only performance cues available instead of only student cues (as indicated by a direct effect). Monitoring accuracy predicted regulation accuracy and in addition to a direct effect, we also found and indirect effect of cue-availability on regulation accuracy (via monitoring accuracy). These results suggest that accurate regulation can be brought about both indirectly by having accurate monitoring judgments and directly by cue-utilization. The findings of this study can help to refine models of teacher monitoring and regulation and can be useful in designing effective interventions to promote teachers’ monitoring and regulation.
How the coronavirus disease 2019 pandemic changed the patterns of healthcare utilization by geriatric patients and the crowding: a call to action for effective solutions to the access block
Authors: Savioli Gabriele , Ceresa Iride Francesca , Novelli Viola , Ricevuti Giovanni , Bressan Maria Antonietta , Oddone Enrico 
Published: June 2021

AbstractThe geriatric population constitutes a large slice of the population of Western countries and a class of fragile patients, with greater deaths due to COVID-19. The patterns of healthcare utilization change during pandemic disease outbreaks. Identifying the patterns of changes of this particular fragile subpopulation is important for future preparedness and response. Overcrowding in the emergency department (ED) can occur because of the volume of patients waiting to be seen, delays in patient assessment or treatment in the ED, or impediments to leaving the ED once the treatment has been completed. Overcrowding has become a serious and growing issue globally, which represents a serious impediment to healthcare utilization. To estimate the rate of ED visits attributable to the outbreak and guide the planning of strategies for managing ED access or after the outbreak of transmittable respiratory diseases. This observational study was based on a retrospective review of the epidemiological and clinical records of patients aged > 75 years who visited the Foundation IRCCS Policlinic San Matteo during the first wave of COVID-19 outbreak (February 21 to May 1, 2020; pandemic group). The analysis methods included estimation of the changes in the epidemiological and clinical data from the annual baseline data after the start of the COVID-19 pandemic. Outcome measures and analysis: Primary objective is the evaluation of ED admission rate change and ED overcrowding. Secondary objectives are the evaluation of modes of ED access by reason and triage code, access types, clinical outcomes (such as admission and mortality rates). During the pandemic, ED crowding increased dramatically, although the overall number of patients decreased, in the face of a percentage increase in those with high-acuity conditions, because of changes in patient management that have prolonged length of stay (LOS) and increased rates of access block. Overcrowding during the COVID-19 pandemic can be attributed to the Access Block. Access Block solutions are hence required to prevent a recurrence of crowding to any new viral wave or new epidemic in the future.
The Toxicological Risk Assessment of Cu, Mn, and Zn as Essential Elemental Impurities in Herbal Medicinal Products with Valerian Root (Valeriana officinalis L., radix) Available in Polish Pharmacies
Authors: Jurowski Kamil , Fołta Maria , Tatar Barbara , Berkoz Mehmet , Krośniak Mirosław 
Published: June 2021

AbstractThe toxicological risk assessment (TRA) of elemental impurities (EI) in especially herbal medicinal products (HMP) is a significant challenge for pharmaceutical industry. In Europe, very popular are traditional HMP with valerian root (Valeriana officinalis L., radix) for relief of mild symptoms of mental stress and to aid sleep. The aim of our unique article is the comprehensive TRA of Cu, Mn, and Zn as EI in HMP with V. officinalis L., radix available in Polish pharmacies. This article is a continuation of our previously conducted studies about TRA of heavy metals (Pb and Cd) in these same samples. Investigated elements were determined by flame atomic absorption spectrometry (F AAS). The values of the correlation coefficients (R > 0.998) confirm the linearity of the applied instrument for precision and accuracy of results. The recoveries, LOD and LOQ values were acceptable. Our results show that all investigated HMP with valerian root available in Polish pharmacies contain Cu (0.16–0.23 mg/L), Mn (0.11–0.76 mg/L), and Zn (0.22–0.48 mg/L) at a very low level. Based on our estimation of EI including single dose (µg/20 mL) and estimated daily intake (µg/day), our results confirm the safety of all pharmaceuticals. To the best of our knowledge, the Cu, Mn, and Zn impurity profile in HMP with V. officinalis L., radix is described for the first time. The applied methodology and results are extremely important from regulatory toxicology point of view (ICH Q3D elemental impurities guideline for pharmaceuticals).
Existence of weak solutions to SPDEs with fractional Laplacian and non-Lipschitz coefficients
Authors: Nakajima Shohei 
Published: June 2021

AbstractWe prove existence of solutions and its properties for a one-dimensional stochastic partial differential equations with fractional Laplacian and non-Lipschitz coefficients. The method of proof is eatablished by Kolmogorov’s continuity theorem and tightness arguments.
Interactive analysis notebooks on DESY batch resources
Authors: Reppin J. , Beyer C. , Hartmann T. , Schluenzen F. , Flemming M. , Sternberger S. , Kemp Y. 
Published: June 2021

AbstractBatch scheduling systems are usually designed to maximise fair resource utilisation and efficiency, but are less well designed for demanding interactive processing, which requires fast access to resources while low upstart latency is only of secondary significance for high throughput of high performance computing scheduling systems. The computing clusters at DESY are intended as batch systems for end users to run massive analysis and simulation jobs enabling fast turnaround systems, in particular when processing is expected to feed back to operation of instruments in near real-time. The continuously increasing popularity of Jupyter Notebooks for interactive and online processing made an integration of this technology into the DESY batch systems indispensable. We present here our approach to utilise the HTCondor and SLURM backends to integrate Jupyter Notebook servers and the techniques involved to provide fast access. The chosen approach offers a smooth user experience allowing users to customize resource allocation tailored to their computational requirements. In addition, we outline the differences between the HPC and the HTC implementations and give an overview of the experience of running Jupyter Notebook services.
Structure determination of clinofibrate photoproducts generated by ultraviolet-light irradiation in aqueous media
Authors: Kawabata Kohei , Akimoto Shiori , Inagaki Masanori , Nishi Hiroyuki 
Published: June 2021

AbstractPhotodegradation of clinofibrate, which is one of the fibrate drugs, was evaluated and chemical structures of its photoproducts were determined. Clinofibrate in aqueous media was photodegraded gradually by the UV light emission with the generation of several photoproducts. The result of HPLC analysis indicated that some photoproducts were more photostable compared with the parent compound. After 14 days irradiation, clinofibrate was degraded completely while several photoproducts were remained in the test solution. Structure determination of nine photoproducts was performed by means of ESI-LC/MS/MS analysis. Main photoproduct of clinofibrate was 2-(4-(1-(4-hydroxyphenyl)cyclohexyl)phenoxy)-2-methylbutanoic acid. Structure determination of clinofibrate photoproducts made it possible the estimation of the photodegradation pathway. It was tempting to speculate that the main photoproduct was generated by the elimination of 2-methylbutanoic acid and other photoproducts were generated through several photochemical reactions including further elimination of 2-methylbutanoic acid and decarboxylation. The obtained results will be helpful for the further research focused on the evaluation of biological activities of clinofibrate photoproducts, photostability of clinofibrate in commercial tablets and changed formulations, and the photostabilization of them.
Glycoproteogenomics: Setting the Course for Next-Generation Cancer Neoantigen Discovery for Cancer Vaccines
Authors: Ferreira José Alexandre , Relvas-Santos Marta , Peixoto Andreia , M.N. Silva André , Lara Santos Lúcio 
Published: June 2021

Abstract
Molecular-assisted precision oncology gained tremendous ground with high-throughput next-generation sequencing (NGS), supported by robust bioinformatics. The quest for genomics-based cancer medicine set the foundations for improved patient stratification, while unveiling a wide array of neoantigens for immunotherapy. Upfront pre-clinical and clinical studies have successfully used tumor-specific peptides in vaccines with minimal off-target effects. However, the low mutational burden presented by many lesions challenges the generalization of these solutions, requiring the diversification of neoantigen sources. Oncoproteogenomics utilizing customized databases for protein annotation by mass spectrometry (MS) is a powerful tool toward this end. Expanding the concept toward exploring proteoforms originated from post-translational modifications (PTMs) will be decisive to improve molecular subtyping and provide potentially targetable functional nodes with increased cancer specificity. Walking through the path of systems biology, we highlight that alterations in protein glycosylation at the cell surface not only have functional impact on cancer progression and dissemination but also originate unique molecular fingerprints for targeted therapeutics. Moreover, we discuss the outstanding challenges required to accommodate glycoproteomics in oncoproteogenomics platforms. We envisage that such rationale may flag a rather neglected research field, generating novel paradigms for precision oncology and immunotherapy.
The Welfare Cost of Vaccine Misallocation, Delays and Nationalism
Authors: Gollier Christian 
Published: June 2021

AbstractI calibrate an eco-epidemiological age-structured Susceptible-Infected-Recovered (SIR) model of the B.1.1.7 covid variant on the eve of the vaccination campaign in France, under a stop-and-go lockdown policy. Three-quarters of the welfare benefit of the vaccine can be achieved with a speed of 100,000 full vaccination per day. A 1-week delay in the vaccination campaign raises the death toll by approximately 2500, and it reduces wealth by 8 billion euros. Because of the large heterogeneity of the rates of hospitalization and mortality across age classes, it is critically important for the number of lives saved and for the economy to vaccinate older people first. Any departure from this policy has a welfare cost. Prioritizing the allocation of vaccines to the most vulnerable people save 70,000 seniors, but it also increases the death toll of younger people by 14,000. Vaccine nationalism is modeled by assuming two identical Frances, one with a vaccine production capacity and the other without it. If the production country vaccinates its entire population before exporting to the other, the global death toll would be increased by 20 %. I also measure the welfare impact of the strong French anti-vax movement, and of the prohibition of an immunity passport.
Nonventilator hospital-acquired pneumonia: A call to action
Authors: Munro Shannon C. , Baker Dian , Giuliano Karen K. , Sullivan Sheila C. , Haber Judith , Jones Barbara E. , Crist Matthew B. , Nelson Richard E. , Carey Evan , Lounsbury Olivia , Lucatorto Michelle , Miller Ryan , Pauley Brian , Klompas Michael 
Published: June 2021

Executive SummaryIn 2020 a group of U.S. healthcare leaders formed the National Organization to Prevent Hospital-Acquired Pneumonia (NOHAP) to issue a call to action to address non–ventilator-associated hospital-acquired pneumonia (NVHAP). NVHAP is one of the most common and morbid healthcare-associated infections, but it is not tracked, reported, or actively prevented by most hospitals. This national call to action includes (1) launching a national healthcare conversation about NVHAP prevention; (2) adding NVHAP prevention measures to education for patients, healthcare professionals, and students; (3) challenging healthcare systems and insurers to implement and support NVHAP prevention; and (4) encouraging researchers to develop new strategies for NVHAP surveillance and prevention. The purpose of this document is to outline research needs to support the NVHAP call to action. Primary needs include the development of better models to estimate the economic cost of NVHAP, to elucidate the pathophysiology of NVHAP and identify the most promising pathways for prevention, to develop objective and efficient surveillance methods to track NVHAP, to rigorously test the impact of prevention strategies proposed to prevent NVHAP, and to identify the policy levers that will best engage hospitals in NVHAP surveillance and prevention. A joint task force developed this document including stakeholders from the Veterans’ Health Administration (VHA), the U.S. Centers for Disease Control and Prevention (CDC), The Joint Commission, the American Dental Association, the Patient Safety Movement Foundation, Oral Health Nursing Education and Practice (OHNEP), Teaching Oral-Systemic Health (TOSH), industry partners and academia.