bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reagent addition sequence and equivalent in N‐heterocyclic carbene‐catalyzed nonpolar inversion enable conversion from aldimine to benzoxazole
Authors: Li Xiaoyan , Liu Jiabin , Zhang Qiao‐Chu , Zhang Wenjing , Lan Yu 
Published: April 2020

AbstractThe umpolung reaction catalyzed by N‐heterocyclic carbenes (NHCs) has been widely studied and well recognized, but their role in the nonpolar inversion reaction under oxidative condition has been rarely reported. In this paper, the mechanism of the oxidative nonpolar inversion reaction catalyzed by NHCs to produce benzoxazole is investigated in detail. The reaction occurs through five processes. For oxidation in the second process, two successive tautomerizations followed by oxidation are energetically more favorable than the other two pathways. The rate‐determining step is the oxidation by 3,3′‐5,5′‐tetra‐tert‐butyl‐4,4′‐diphenoquinone. Mechanism calculations of the uncatalyzed reaction reveal that the very highly exothermic nature of the initial step is the main reason for the extremely high energy barrier in the following step. With the participation of NHC, this unfavorable transformation can be deftly prevented according to the specific sequence and equivalent of reagent addition, enabling the reaction to occur under mild conditions.
Limitations of deuterium‐labeled internal standards for quantitative electrospray ionization mass spectrometry analysis of fatty acid metabolites
Authors: Tokuoka Suzumi M. , Yasumoto Atsushi , Kita Yoshihiro , Shimizu Takao , Yatomi Yutaka , Oda Yoshiya 
Published: April 2020

RationaleThe electrospray ionization mass spectrometry (ESI‐MS) methodology often shows poor ionization reproducibility in the analysis of biological samples. Therefore, normalization of the measured peak intensities is essential. It is believed that quantitative data with high reproducibility can be obtained by adding a constant amount of an internal standard (IS) material labeled with stable isotopes to each sample, thus allowing the correction of the quantitative value of the target compound by that of the IS. We investigated whether the presence or absence of a labeled IS improves the accuracy of these quantitative values.MethodsTriple quadrupole MS coupled with liquid chromatography was used to analyze fatty acid metabolites in biological samples as target compounds. Two independent systems were used to provide a measure of reproducibility in two different laboratories.ResultsData having poor reproducibility in the raw peak areas were efficiently normalized using the IS, but, crucially, the IS method using stable isotopes was not always necessary. In some cases, the reproducibility was relatively good even without using the IS. In a contaminant matrix, the MS response behavior of the target compound and its stable isotope‐labeled material was complicated. Since ion suppression by matrix contaminants was dependent on the concentration of the target compound, the added amounts of the ISs were also important, Furthermore, an equivalent normalization effect was obtained by using a pooled quality control sample as an external standard, thus obviating the need for labeled IS samples, which are often expensive and sometimes not commercially available.ConclusionsOur results raise the question as to whether the quantitative method using stable‐isotope‐labeled ISs is always necessary and beneficial. However, the results obtained in this study cannot be generalized because only fatty acid metabolites were examined using ESI‐MS and only a highly substituted deuterium‐labeled IS was used.
Estimating animal density in three dimensions using capture‐frequency data from remote detectors
Authors: Vargas Soto Juan S. , Castañeda Rowshyra A. , Mandrak Nicholas E. , Molnár Péter K. 
Published: April 2020

AbstractRemote detectors are being used increasingly often to study aquatic and aerial species, which move significantly differently from terrestrial species. Camera‐trapping studies have used frameworks based on animal movement patterns to show that a species’ detection frequency, along with movement speed and detector specifications, can be used to estimate absolute population density. This approach, however, has not yet been adapted to cases where movement is three‐dimensional. Here we adapt one such framework to three‐dimensional movement, to characterize the relationship between population density, animal speed, characteristics of a remote sensor's detection zone and detection frequency. The derivation involves defining the detection zone mathematically and calculating the mean area of the profile it presents to approaching individuals. We developed two variants of the model—one assuming random movement of all individuals, and one allowing for different probabilities for each approach direction (e.g. that animals more often swim/fly horizontally than vertically). We used computer simulations to evaluate model performance for a wide range of animal and detector densities. Simulations show that in ideal conditions the method approximates true density well, and that estimates become increasingly accurate using more detectors, or sampling for longer. Moreover the method is robust to violations of assumptions, accuracy is decreased only in extreme cases where all detectors are facing the same way. We provide equations for estimating population density from detection frequency and outline how to estimate the necessary parameters. We discuss how environmental variables and species‐specific characteristics affect parameter estimates and how to account for these differences in density estimations. Our method can be applied to common remote detection methods (cameras and acoustic detectors), which are currently being used to study a diversity of species and environments. Therefore, our work may significantly expand the number and diversity of species for which density can be estimated.
Minimizing information loss in shared data: Hiding frequent patterns with multiple sensitive support thresholds
Authors: Ergenç Bostanoǧlu Belgin , Öztürk Ahmet Cumhur 
Published: April 2020

AbstractPrivacy preserving data mining (PPDM) is the process of protecting sensitive knowledge from being discovered by data mining techniques in case of data sharing. Privacy preserving frequent itemset mining (PPFIM) is a subtask and NP‐hard problem of PPDM. Its objective is to modify a given database in such a way that none of the sensitive itemsets of the database owner can be obtained by any frequent itemset mining technique from the modified database. The main challenge of PPFIM is to minimize the distortion given to the data and nonsensitive knowledge while sanitizing all given sensitive itemsets. Distortion‐based sensitive itemset hiding algorithms decrease the support of each sensitive itemset under a predefined sensitive threshold through sanitization. Most of the distortion‐based itemset hiding algorithms allow database owner to define a single sensitive threshold for each sensitive itemset. However, this is a limitation to the database owner since the importance of each sensitive itemset varies. In this paper we propose a distortion‐based itemset hiding algorithm that allows database owner to assign multiple sensitive thresholds, namely itemset oriented pseudo graph based sanitization (IPGBS) algorithm. The purpose of IPGBS algorithm is to give minimum distortion to the nonsensitive knowledge and data while hiding all sensitive itemsets. For this reason, the IPGBS algorithm modifies least amount of transaction and transaction content. The performance evaluation of the IPGBS algorithm is conducted by using two different counterparts on four different databases. The results show that the IPGBS algorithm is more efficient in terms of nonsensitive frequent itemset loss on both dense and sparse databases. It has considerable good results in terms of number of transactions modified, number of items deleted, execution time and total memory allocation as
well.
On‐Chip Electrical Monitoring of Real‐Time “Soft” and “Hard” Protein Corona Formation on Carbon Nanoparticles
Authors: Srivastava Indrajit , Khan Muhammad S. , Dighe Ketan , Alafeef Maha , Wang Zhen , Banerjee Tuseeta , Ghonge Tanmay , Grove Lauren M. , Bashir Rashid , Pan Dipanjan 
Published: April 2020

AbstractWhen nanoparticles encounter a biological fluid, proteins, lipids, and other biomolecules adsorb on the nanoscale surface consequently leading to the evolution of a protein shell or “corona.” The corona formed is dynamic in nature and depends on the “synthetic identity” of the NPs, ultimately affecting their biological response. In this paper, an integrated microfluidic platform coupled with an electrical resistance measurement setup is developed to monitor and investigate the real‐time formation of a biomolecular corona of carbon nanoparticles. “Soft” and “hard” corona formation stages are effectively discriminated based on their nanoscale surface chemistries when combined with a time‐frequency tool known as wavelet transform and machine‐learning techniques. Additionally, the corona and its composition are studied using different techniques such as dynamic light scattering, nanoparticle tracking analysis, zeta potential, excitation–emission profiles, 1D sodium dodecyl polyacrylamide gel electrophoresis and subsequently, liquid chromatography‐mass spectrometry analysis. The dynamic setup can eventually be used as a valuable tool for screening of any nanoparticles formulations with distinct surface chemistries for the purpose of reduced protein adsorption/weaker protein corona formation and consequently enhance the success of targeted drug delivery.
Measuring Reading Motivation: A Cautionary Tale
Authors: Jones Sara 
Published: April 2020

AbstractMeasuring students’ reading motivation is a common practice in literacy classrooms, and results often inform instruction. This mixed‐methods study problematizes this practice, raising tensions between how reading motivation is measured and its enactment in a reading class. Key tensions include reading motivation as competition versus a collective endeavor, reading motivation emphasizing teacher‐directed learning versus student‐led learning, and reading motivation valuing texts as windows versus mirrors. The author suggests that teachers should take a critical lens to reading motivation measurement tools before using them.
Study on the Use of Rare Earth Stabilizer as Poly(Vinyl Chloride) Stabilizer
Authors: Liu Zhaogang , Fan Junwei , Feng Jiameng , Li Mei , Hu Yanhong , Hao Wei , Feng Fushan 
Published: April 2020

AbstractLanthanum aminobenzoate (LAB), cerium aminobenzoate (CAB), and lanthanum and cerium aminobenzoate (LCAB) were synthesized with p‐aminobenzoic acid, lanthanum nitrate, or cerium nitrate as raw materials to study the influence of different rare earth elements on the stability of rare earth stabilizers. The thermal stability of by CAB, LCAB, and LAB toward poly(vinyl chloride) (PVC) was studied. The results of Congo red test and thermal aging test showed when three rare earth stabilizers acted independently, the advantages and disadvantages of thermal stability are as follows: LAB > CAB > LCAB. However, in compound experiments, the thermal stability of composite stabilizers compounded by CAB or LCAB with zinc stearate, calcium stearate, or pentaerythritol (PE) was slightly better than that of composite stabilizers compounded by LAB. Among of them, when the compounding scheme was LCAB:zinc stearate:PE = 1:1:3, the thermal stability time reached 60 minutes; CAB:zinc stearate:PE = 1:1:3, the thermal stability time reached 50 minutes, compared with the rare earth stabilizer alone, the composite thermal stabilizer gave PVC samples better antidiscoloration performance and longer thermal stability time.
Evaluation of different methods for gap filling of long‐term actual evapotranspiration time series measured by lysimeters
Authors: Huang Yafei , Hendricks Franssen Harrie‐Jan , Herbst Michael , Hirschi Martin , Michel Dominik , Seneviratne Sonia I. , Teuling Adriaan J. , Vogt Roland , Detlef Schumacher , Pütz Thomas , Vereecken Harry 
Published: April 2020

AbstractTerrestrial evapotranspiration (ET) is the second largest water flux in the global water cycle. It can be measured with different techniques; weighable lysimeters can provide very accurate measurements, and some very long‐term time series exist. However, these lysimeter time series are affected by data gaps that must be filled to estimate actual ET totals and long‐term trends. In this paper, we explore four different gap‐filling methods: the potential ET‐method, the ratio method, the FAO‐based water balance method, and HYDRUS modeling. These gap‐filling methods were evaluated for three time series of actual ET measured by lysimeters and meteorological data of three European sites. Separate evaluations were made for the five driest and five wettest April–October periods to investigate whether the performance of the gap‐filling methods was affected by hydrological conditions. Series of random gaps were artificially created for the three time series, including gaps of four different lengths. Actual ET was estimated for these gaps with the gap‐filling methods, which were evaluated based on RMSE and mean bias error. The results show that the ratio method outperformed other methods for gap filling of lysimeter data for Basel (Switzerland), whereas the HYDRUS method outperformed other methods for Rheindahlen (Germany). For Rietholzbach (Switzerland), the different methods performed very similarly, except that the FAO method gives slightly larger RMSEs. The gap‐filling methods do not perform very differently for dry and wet conditions. The ratio method is recommended for filling smaller gaps, and the HYDRUS method is recommended for longer gaps of 30 d.
Fortbildung von Allgemein- und Viszeralchirurgen in der lebensrettenden Notfallchirurgie
Authors:   Chirurgische Arbeitsgemeinschaft Militär- und Notfallchirurgie (CAMIN) der Deutschen Gesellschaft für Allgemein- und Viszeralchirurgie (DGAV), Güsgen C. , Anger F. , Hauer T. , Willms A. , Buhr H. J. , Germer C.-T. , Schwab R. , Lock J. F. 
Published: April 2020

Zusammenfassung
Hintergrund
Die geringe Anzahl operativ zu versorgender Körperhöhlenverletzungen erfordert ein Umdenken in der chirurgischen Aus- und Weiterbildung. Ein entsprechendes Kursformat wird seit 2014 über die DGAV angeboten. Um Berechtigung, Bedarf, Nutzen und Erfolg eines solchen Kursformates zu erheben, erfolgte eine Evaluation durch die bisherigen Kursteilnehmer.

Material und Methoden
Kursevaluation und zusätzliche Onlinebefragung der bisherigen Kursteilnehmer hinsichtlich Alter, Geschlecht, Ausbildungsstand, Fachrichtung, Versorgungsstufe des Krankenhauses, notfallchirurgischer Erfahrungen, der Häufigkeit chirurgischer Notfallversorgungen, Teilnahme an anderen Kursformaten, Erfahrungen nach der Kursteilnahme, Einschätzung der aktuellen Fort- und Weiterbildungssituation und Finanzierung solcher Kurse.

Ergebnisse
Insgesamt 142 Kursteilnehmer evaluierten ihre Kursteilnahme, zusätzlich beantworteten 83 den Onlinefragebogen. Über 90 % berichteten von einem nachhaltigen positiven Einfluss des Kurses auf ihr notfallchirurgisches Handeln. Mehr als die Hälfte konnte von konkreten Notfallsituationen berichten, die sie aufgrund der Kursteilnahme besser bewältigen konnten. In der Notfallversorgung erfahrene Chirurgen bewerteten den eigenen Lernerfolg durch die Kursteilnahme signifikant häufiger positiv als ihre weniger erfahrenen Kollegen. Keinen Einfluss auf den Lernerfolg hatten eine Ober- oder Chefarztposition, die Versorgungsstufe des Krankenhauses, das Alter oder Geschlecht der Teilnehmer. Die Mehrheit der antwortenden Chirurgen befürwortet die Integration eines solchen Kursformates in die chirurgische Weiterbildung und fordert hierzu eine finanzielle Unterstützung.

Schlussfolgerung
Kursformate, in denen notfallchirurgische Strategien und Fähigkeiten vermittelt werden, sind etabliert und werden sehr positiv evaluiert. Die Fort- und Weiterbildung in notfallchirurgischen Fähigkeiten und Kenntnissen liegt im gesellschaftlichen Interesse und zumindest anteilig auch in ihrer Verantwortung.
Achilles tendon ruptures during summer show the lowest incidence, but exhibit an increased risk of re-rupture
Authors: Saarensilta I. A. , Edman G. , Ackermann P. W. 
Published: April 2020

Abstract
Purpose
Achilles tendon rupture (ATR) is a common injury. The knowledge of seasonal factors´ impact is incomplete, but may provide means for preventive approaches for Achilles tendon related morbidity. The aim of this study was to investigate seasonal variations in ATR incidence in relation to injury mechanism, adverse events including risk of re-rupture, and patient-reported outcome in adults in Stockholm, Sweden.

Methods
In total, 349 patients with unilateral acute Achilles tendon rupture, prospectively treated with standardized surgical techniques, were retrospectively assessed. Date of injury was assigned to one of the four internationally defined meteorological seasons in the northern hemisphere. Injury mechanism and the rate of adverse events; deep venous thrombosis, infection and re-rupture in relation to per-operative complications. Patient-reported outcome at 1 year was assessed with the validated Achilles tendon Total Rupture Score.

Results
ATR incidence was significantly highest during winter and spring, and lowest during summer (p < 0.05). The most common sporting activities associated with ATR were badminton, floorball and soccer (> 50%). The rate of soccer-related ATR was highest during summer (p < 0.05). Patients sustaining an ATR during summer, compared to other seasons, exhibited more per-operative complications (p < 0.05), a significantly higher risk of re-rupture (p < 0.05) and a lower rate of good outcome (n.s.). The risk of other adverse events after ATR did not differ between the seasons.

Conclusion
Winter and spring are the high risk seasons for sports-related ATR and the risk sports are badminton, soccer and floorball. The reason for the higher risk of re-rupture after ATR repair during summer should be further investigated.

Level of evidence
III.
On the Difference Between Realistic and Fantastic Imagining
Authors: Gauker Christopher 
Published: April 2020

AbstractWhen we imaginatively picture what might happen, we may take what we imagine to be either realistic or fantastic. A wine glass falling to the floor and shattering is realistic. A wine glass falling and morphing into a bird and flying away is fantastic. What does the distinction consist in? Two important necessary conditions are here defined. The first is a condition on the realistic representation of spatial configuration, grounded in an account of the imagistic representation of spatial configuration. The second is a condition on the manner in which realistic courses of mental imagery may be grounded in remembered perceptions. This is defined in terms of an account of the representation of comparative similarity.
Quantum learning Boolean linear functions w.r.t. product distributions
Authors: Caro Matthias C. 
Published: April 2020

AbstractThe problem of learning Boolean linear functions from quantum examples w.r.t. the uniform distribution can be solved on a quantum computer using the Bernstein–Vazirani algorithm (Bernstein and Vazirani, in: Kosaraju (ed) Proceedings of the twenty-fifth annual ACM symposium on theory of computing, ACM, New York, 1993. 10.1145/167088.167097). A similar strategy can be applied in the case of noisy quantum training data, as was observed in Grilo et al. (Learning with errors is easy with quantum samples, 2017). However, extensions of these learning algorithms beyond the uniform distribution have not yet been studied. We employ the biased quantum Fourier transform introduced in Kanade et al. (Learning dnfs under product distributions via $$\mu $$μ-biased quantum Fourier sampling, 2018) to develop efficient quantum algorithms for learning Boolean linear functions on n bits from quantum examples w.r.t. a biased product distribution. Our first procedure is applicable to any (except full) bias and requires $$\mathcal {O}(\ln (n))$$O(ln(n)) quantum examples. The number of quantum examples used by our second algorithm is independent of n, but the strategy is applicable only for small bias. Moreover, we show that the second procedure is stable w.r.t. noisy training data and w.r.t. faulty quantum gates. This also enables us to solve a version of the learning problem in which the underlying distribution is not known in advance. Finally, we prove lower bounds on the classical and quantum sample complexities of the learning problem. Whereas classically, $$\varOmega (n)$$Ω(n) examples are necessary independently of the bias, we are able to establish a quantum sample complexity lower bound of $$\varOmega (\ln (n))$$Ω(ln(n)) only under an assumption of large bias. Nevertheless, this allows for a discussion of the performance of our suggested learning algorithms w.r.t. sample complexity. With our analysis, we contribute to a more quantitative understanding of the power and limitations of quantum training data for learning classical functions.
A Survey of Computational Tools in Solar Physics
Authors: Bobra Monica G. , Mumford Stuart J. , Hewett Russell J. , Christe Steven D. , Reardon Kevin , Savage Sabrina , Ireland Jack , Pereira Tiago M. D. , Chen Bin , Pérez-Suárez David 
Published: April 2020

AbstractThe SunPy Project developed a 13-question survey to understand the software and hardware usage of the solar-physics community. Of the solar-physics community, 364 members across 35 countries responded to our survey. We found that $99\pm 0.5$99±0.5% of respondents use software in their research and 66% use the Python scientific-software stack. Students are twice as likely as faculty, staff scientists, and researchers to use Python rather than Interactive Data Language (IDL). In this respect, the astrophysics and solar-physics communities differ widely: 78% of solar-physics faculty, staff scientists, and researchers in our sample uses IDL, compared with 44% of astrophysics faculty and scientists sampled by Momcheva and Tollerud (2015). $63\pm 4$63±4% of respondents have not taken any computer-science courses at an undergraduate or graduate level. We also found that most respondents use consumer hardware to run software for solar-physics research. Although 82% of respondents work with data from space-based or ground-based missions, some of which (e.g. the Solar Dynamics Observatory and Daniel K. Inouye Solar Telescope) produce terabytes of data a day, 14% use a regional or national cluster, 5% use a commercial cloud provider, and 29% use exclusively a laptop or desktop. Finally, we found that $73\pm 4$73±4% of respondents cite scientific software in their research, although only $42\pm 3$42±3% do so routinely.
The pricing of European non-performing real estate loan portfolios: evidence on stock market evaluation of complex asset sales
Authors: Manz Florian , Müller Birgit , Schiereck Dirk 
Published: April 2020

AbstractRecent empirical evidence raises doubt about the ability of financial market participants to generate information efficient valuations for capital market instruments whose cash flows are related to residual claims and dependent on real estate income. We contribute to this literature with the examination of value implications of non-performing loan (NPL) divestitures in the banking industry during the period 2012–2018. In a first step, we provide descriptive statistics of the European NPL market, which lacks transparency and publicly available basic information on portfolio size and components. We then analyze wealth effects of distressed loan sale announcements for a uniquely large transaction database with 317 NPL deals, which is largely driven by real estate collateral. Our results show positive stock market reactions for vendor banks following NPL divestitures that tend to be driven by real estate collateral and a size effect.