bluuebunny/crossref_metadata_2025_split huggingface dataset:
A multiplicity study of transiting exoplanet host stars
Authors: Bohn A. J. , Southworth J. , Ginski C. , Kenworthy M. A. , Maxted P. F. L. , Evans D. F. 
Published: February 2020

Context. Many main-sequence stars are part of multiple systems. The effect of stellar multiplicity on planet formation and migration, however, is poorly understood.
Aims. We study the multiplicity of stars hosting known transiting extra-solar planets to test competing theories on the formation mechanisms of hot Jupiters.
Methods. We observed 45 exoplanet host stars using the infrared dual imaging spectrograph of the Spectro-Polarimetric High-Contrast Exoplanet Research (SPHERE) instrument at the Very Large Telescope to search for potential companions. For each identified candidate companion we determined the probability that it is gravitationally bound to its host by performing common proper motion checks and modelling of synthetic stellar populations around the host. In addition, we derived contrast limits as a function of angular separation to set upper limits on further companions in these systems. We converted the derived contrast into mass thresholds using AMES-Cond, AMES-Dusty, and BT-Settl models.
Results. We detected new candidate companions around K2-38, WASP-72, WASP-80, WASP-87, WASP-88, WASP-108, WASP-118, WASP-120, WASP-122, WASP123, WASP-130, WASP-131, and WASP-137. The closest candidates were detected at separations of 0.′′124±0.′′007 and 0.′′189±0.′′003 around WASP-108 and WASP-131; the measured K-band contrasts indicate that these are stellar companions of 0.35 ± 0.02 M⊙ and 0.62−0.04+0.05 M⊙, respectively. Including the re-detection and confirmation of previously known companions in 13 other systems, we derived a multiplicity fraction of 55.4−9.4+5.9%. For the representative sub-sample of 40 hot Jupiter host stars among our targets, the derived multiplicity rate is 54.8−9.9+6.3%. Our data do not confirm any trend that systems with eccentric planetary companions are preferably part of multiple systems. On average, we reached a magnitude contrast of 8.5 ± 0.9 mag at an angular separation of 0.′′5. This allows us to exclude additional stellar companions with masses higher than 0.08M⊙ for almost all observed systems; around the closest and youngest systems, this sensitivity is achieved at physical separations as small as 10 au.
Conclusions. Our study shows that SPHERE is an ideal instrument for detecting and characterising close companions to exoplanetary host stars. Although the second data release of the Gaia mission also provides useful constraints for some of the systems, the achieved sensitivity provided by the current data release of this mission is not good enough to measure parallaxes and proper motions for all detected candidates. For 14 identified companion candidates further astrometric epochs are required to confirm their common proper motion at 5σ significance.
Lösungsmöglichkeiten bei fehlgeschlagenen Osteosynthesen an Schulter und Schultergürtel
Authors: Plecko Michael 
Published: February 2020

ZusammenfassungDie Behandlung von fehlgeschlagenen Osteosynthesen an Schulter und Schultergürtel stellt oft eine große Herausforderung an das Behandlungsteam dar. Am häufigsten gibt es Fehlschläge am proximalen Humerus und am Schlüsselbein, die eine auf den Einzelfall abgestimmte individuelle Behandlung erfordern. Neben der konservativen symptomorientierten Therapie sind in manchen Fällen die Reosteosynthese mit oder ohne Knochenaugmentation bzw. Spongiosaplastik oder der endoprothetische Ersatz zu bevorzugen. Wichtig für die Erzielung eines guten Ergebnisses ist neben einer exakten Ursachenanalyse ein frühzeitiges Einschreiten, um Vernarbungen, Kontrakturen bzw. fortgeschrittene Muskelatrophien zu vermeiden. Bei adäquater rechtzeitiger Therapie kann i. d. R. ein zufriedenstellendes Ergebnis erzielt werden.
Destabilization of FoxM1 and Inhibition of Topoisomerase I Contribute to Cytotoxicity of Prenylated Xanthones Isolated from Metaxya rostrata
Authors: Mittermair Eva , Schueffl Hemma , Heffeter Petra , Krenn Liselotte , Marian Brigitte 
Published: February 2020

AbstractWe recently isolated the prenylated xanthones 2-deprenyl-rheediaxanthone B (XB) and 2-deprenyl-7-hydroxy-rheediaxanthone B (OH-XB) from the South American tree fern Metaxya rostrata. This study explores the mechanisms underlying the FoxM1 downregulation induced by both xanthones. Analysis of cell viability and cell-death induction in SW480, HCT116, Caco-2, DLD1 and HT29 exposed to xanthones found cell-loss and activation of caspase in all cell lines except HT29 that do not have high FoxM1 protein levels. To determine the cellular mechanism of xanthone-induced FoxM1 loss, protein stability was analyzed by cycloheximide-chase experiments and showed reduction of FoxM1 stability by XB but not OH-XB. Destabilization was prevented by inhibiting proteasome activity using MG-132 and moderately by the lysosomal inhibitor bafilomycin A1 (baf A1). OH-XB had a stronger impact than XB on FoxM1 mRNA expression by qRT-PCR, and MG-132 positively affected FoxM1 protein level in
OH-XB exposed cells even though no decrease in protein abundance had been induced by the xanthone. Additionally, the compound inhibited topoisomerase I causing DNA DSB and early cell cycle arrest. This may reduce FoxM1 gene expression, which may in turn compromise DNA repair and enhance xanthone-induced cell death. With regard to xanthone-induced cell death, MG-132 protected cultures from cell loss induced by both compounds, and baf A1 was active against these XB-induced effects. In summary, both destabilization of FoxM1 protein and topoisomerase I inhibition contribute to both XB and OH-XB cytotoxic activity albeit at different ratios.
Organocatalyzed [3+3] Annulations for the Construction of Heterocycles
Authors: Zhu Yannan , Huang You 
Published: February 2020

Six-membered heterocyclic systems are widely distributed in many natural products and pharmaceuticals, and the construction of highly functionalized six-membered heterocyclic compounds is an important topic in modern organic synthesis. Organocatalyzed [3+3] annulations represents an important method for assembling a substantial variety of six-membered cycles that contain one or more heteroatoms. This review describes the development of organocatalyzed [3+3] annulations for the synthesis of six-membered heterocycles, including organocatalysis using secondary amines, tertiary amines, phosphines, chiral phosphoric acids and N-heterocyclic carbenes.1	Introduction2	Secondary Amine Catalyzed [3+3] Annulations2.1	Synthesis of Nitrogen Heterocycles2.2	Synthesis of Oxygen Heterocycles2.3	Synthesis of Sulfur Heterocycles3	Tertiary Amine Catalyzed [3+3] Annulations3.1	Catalysis through Multiple Hydrogen-Bonding Interactions3.2	Catalysis of Tertiary Amines as Lewis Bases4	Phosphine-Catalyzed [3+3] Annulations4.1	Synthesis of Nitrogen Heterocycles4.2	Synthesis of Oxygen Heterocycles4.3	Synthesis of Heterocycles Containing Two or More Heteroatoms5	Chiral Phosphoric Acid Catalyzed [3+3] Annulations5.1	Synthesis of Nitrogen Heterocycles5.2	Synthesis of Heterocycles Containing Two or More Heteroatoms6	N-Heterocyclic Carbene Catalyzed [3+3] Annulations6.1	Synthesis of Nitrogen Heterocycles6.2	Synthesis of Oxygen Heterocycles6.3	Synthesis of Heterocycles Containing Two or More Heteroatoms7	Conclusion and Outlook
Data-Driven Diabetes Education Guided by a Personalized Report for Patients on Insulin Pump Therapy
Authors: Groat Danielle , Corrette Krystal , Grando Adela , Vellore Vaishak , Bayuk Mike , Karway George , Boyle Mary , McCoy Rozalina , Grimm Kevin , Thompson Bithika 
Published: February 2020

Abstract
Objective It is difficult to assess self-management behaviors (SMBs) and incorporate them into a personalized self-care plan. We aimed to develop and apply SMB phenotyping algorithms from data collected by diabetes devices and a mobile health (mHealth) application to create patient-specific SMBs reports to guide individualized interventions. Follow-up interventions aimed to understand patient's reasoning behind discovered SMB choices.
Methods This study deals with adults on continuous subcutaneous insulin infusion using a continuous glucose monitor (CGM) who self-tracked SMBs with an mHealth application for 1 month. Patient-generated data were quantified and an SMB report was designed and populated for each participant. A diabetes educator used the report to conduct personalized, data-driven educational interventions. Thematic analysis of the intervention was conducted.
Results Twenty-two participants recorded 118 alcohol, 251 exercise, 2,661 meal events, and 1,900 photos. A patient-specific SMB report was created from this data and used to conduct the educational intervention. High variability of SMB was observed between patients. There was variability in the percentage of alcohol events accompanied by a blood glucose check, median 79% (38–100% range), and frequency of changing the bolus waveform, median 11 (7–95 range). Interventions confirmed variability of SMBs. Main emerging themes from thematic analysis were: challenges and barriers, motivators, current SMB techniques, and future plans to improve glycemic control.
Conclusion The ability to quantify SMBs and understand patients' rationale may help improve diabetes self-care and related outcomes. This study describes our first steps in piloting a patient-specific diabetes educational intervention, as opposed to the current “one size fits all” approach.
Physician Burnout and Timing of Electronic Health Record Use
Authors: Micek Mark A. , Arndt Brian , Tuan Wen-Jan , Trowbridge Elizabeth , Dean Shannon M. , Lochner Jennifer , Sampene Emmanuel , Pandhi Nancy 
Published: February 2020

Abstract
Background Rates of burnout among physicians have been high in recent years. The electronic health record (EHR) is implicated as a major cause of burnout.
Objective This article aimed to determine the association between physician burnout and timing of EHR use in an academic internal medicine primary care practice.
Methods We conducted an observational cohort study using cross-sectional and retrospective data. Participants included primary care physicians in an academic outpatient general internal medicine practice. Burnout was measured with a single-item question via self-reported survey. EHR time was measured using retrospective automated data routinely captured within the institution's EHR. EHR time was separated into four categories: weekday work-hours in-clinic time, weekday work-hours out-of-clinic time, weekday afterhours time, and weekend/holiday after-hours time. Ordinal regression was used to determine the relationship between burnout and EHR time categories.
Results EHR use during in-clinic sessions was related to burnout in both bivariate (odds ratio [OR] = 1.04, 95% confidence interval [CI]: 1.01, 1.06; p = 0.007) and adjusted (OR = 1.07, 95% CI: 1.03, 1.1; p = 0.001) analyses. No significant relationships were found between burnout and after-hours EHR use.
Conclusion In this small single-institution study, physician burnout was associated with higher levels of in-clinic EHR use but not after-hours EHR use. Improved understanding of the variability of in-clinic EHR use, and the EHR tasks that are particularly burdensome to physicians, could help lead to interventions that better integrate EHR demands with clinical care and potentially reduce burnout. Further studies including more participants from diverse clinical settings are needed to further understand the relationship between burnout and after-hours EHR use.
Unusual MR Imaging Features in CT Hyperdense Posterior Fossa Dermoids: Report of Two Cases
Authors: Sathiaprabhu Anbazhagan , Sravani Nichanametla , Nagarajan Krishnan , Sabarish Sekar , Patil Kapil 
Published: February 2020

AbstractDermoids, either intracranial or in the rest of the body, usually have typical imaging findings due to their fat contents as fat density in computed tomography (CT) and T1- and T2-hyperintensity in magnetic resonance imaging (MRI). Variable imaging appearances have been described due to soft tissue contents, hair, calcification, or even tooth. Posterior fossa dermoids have been reported as a specific variant that shows hyperdensity in CT and mixed signal intensity in MRI. We report two cases of posterior fossa CT hyperdense dermoids that showed unusual MRI features in the form of signal loss in magnetization transfer images and lipid peak in magnetic resonance spectroscopy. Both patients underwent surgical resection and histopathological confirmation and the causes of this unusual imaging appearance are discussed.
From pedagogical input to learner output
Authors: Möller Verena 
Published: February 2020

Abstract

English as a Foreign Language (EFL) materials have often been criticized for a lack of
authenticity. However, their direct impact on learner language has rarely been assessed. We compare pedagogical input from EFL and
Content and Language Integrated Learning (CLIL) materials to texts produced by learners taught via the
textbooks in question. The analysis of corpus
data showed that EFL textbooks did not systematically differ from CLIL materials in terms of conditional frequency and verb forms
combinations. No significant difference was detected for CLIL and non-CLIL learner texts either. Both groups did, however, deviate
from novice native writing in that conditionals expressing low hypotheticality were overrepresented while conditionals expressing
a higher level of hypotheticality were underrepresented and frequently erroneous. Misrepresentations revealed for EFL textbooks in
previous research were found to match the deviations in learner language in a way that aids L2 development rather than impairing
it. Hence, fundamental changes are not required, even though more studies should be undertaken to investigate the direct impact of
teaching materials on learner output.
Students’ use of lexical bundles
Authors: Mbodj Ndeye Bineta , Crossley Scott A. 
Published: February 2020

Abstract
This chapter presents the results of an
investigation into the interaction between discipline and writing
experience on lexical bundle (LB) production. The study compared the
production of 4-word LBs by novice and expert writers in medical and
non-medical fields. The findings indicated that a combination of
both writing experience and field-specific knowledge led to an
increased use of medical LBs. Field-specific knowledge and
experience seemed to be a prerequisite for the production of medical
LBs with interactions demonstrating that the use of lexical bundles
increased with the combination of field-specific knowledge and
experience. The chapter interprets these findings based on previous
research of learners’ acquisition of LBs and discusses their
implications for both research and pedagogy.
Retraction: Volumetric quantification in ovarian
pathology using abdomino-pelvic computed tomography (J. Phys.: Conf.
Ser.
1414 012020)
Authors: Valbuena O , Vera M I , Vera M , Gelvez-Almeida E , Huérfano Y , Borrero M , Salazar-Torres J , Salazar W 
Published: February 2020

This paper was retracted by IOP Publishing on 6th February 2020, as it was a
duplicate of a paper in another conference volume.
Retraction published: 06 February 2020
Research on extraction method of axis angle rate of stable platform based on FPGA
Authors: Shi Peng-jie , Zhang Hong-gang , Gao Jun-ke 
Published: February 2020

Abstract
Aiming at the absolute photoelectric encoder used in the stable platform, a FPGA-based scheme which can read encoder data and measure velocity is proposed. The scheme uses the nonlinear tracking differentiator theory to design the speed measurement of the stable platform, which can avoid the error amplification caused by the conventional differential speed measurement. And this solution can implement in engineering easily because it does not require additional hardware circuitry. Numerical simulation analysis and experimental results show that the scheme can accurately read the encoder signal and estimate the encoder’s angular rate based on the position signal. The experiment proves that the method is accurate and effective.
Analysis of Wind Farm Synchronization Impacted by Short Circuit of Grid Fault
Authors: Nan Feng , Yuyao Feng , Yinghui Yu , Qiang Guo , Chuanxiu Liu 
Published: February 2020

Abstract
In order to improve operational stability of the island system after grid faults of local weak connection, a wind farm and grid power system model composed of doubly-fed induction generator is built. This paper studies the impact of faults on the wind farm output and the grid bus after the wind farm is connected to the grid, and sets three-phase short-circuit fault in wind farm synchronization. Moreover, we analysed voltage fluctuation of the wind farm connected to the grid and voltage fluctuation of grid bus, as well as changes in output frequency, active power and reactive power of the wind farm. The microgrid voltage and frequency changes are studied in island operation when the fault is removed. The research results lay the foundation for island operation when fault occurs after wind turbine is connected to the grid.
Study and Realization of Auto Testing Device for Protection Against Electric Shock
Authors: Li Peipei , Zhao Yi , Yang Yanfeng , Hu Jianyu , Liu Yong 
Published: February 2020

Abstract
In this paper, the microcontroller STM32F407 is used as the control core. The automatic detection device for protection against electric shock is designed and produced. The mechanism and characteristics of residual energy which is generated by the power cut-off at peak voltage are analyzed. This study has accomplished the design of peak voltage power cutoff and residual energy measurement system, software programming and hardware circuit construction, and displaying residual voltage and residual energy value through the touch screen. The device has stable performance and simple operation, and can accurately detect the residual voltage and energy value of electronic, electrical equipment and medical equipment. It has great significance for testing institutions and enterprises.
Study on high precision single-pole magnetic encoder based on error analysis and compensation method
Authors: Liu Yuyuan , Wang Mingjiang 
Published: February 2020

Abstract
This paper introduces the basic principle of single-pole magnetic encoder and its application in industrial field, and analyses three main sources of errors of single-pole magnetic encoder, including unequal amplitude of signal, non-orthogonal phase of input signal, and high order harmonic in input signal. According to the principle of the decoding algorithm of the magnetic encoder, the paper pushed out mathematical expression of each kind of error, and developed the corresponding compensation measures according to these expressions. Finally, we using the STM3232F103 microprocessor as the carrying platform of the algorithm and the 16-bit precision servo motor system as a reference, verified the validity of the error compensation algorithm.
FPGA Implementation of SPI Bus Communication Based on State Machine Method
Authors: Qiang Jiayi , Gu Yong , Chen Guochu 
Published: February 2020

Abstract
The SPI bus is a synchronous serial interface data bus with full duplex, few signal lines, simple protocol, and fast transmission speed. Based on these characteristics, parallel high-speed computing with FPGA is used to meet device expansion and experiment in high-rate environments. This paper introduces the structure and working principle of SPI communication bus, analyzes its timing structure and four working modes, and uses this state machine method to realize its SPI bus communication function on FPGA. The module circuit of SPI is written by Verilog hardware description language, and the waveform is simulated in vivado simulator. After the simulation waveform analysis, the feasibility of the state machine method is verified.
A spatial load forecasting method based on DBSCAN clustering and NAR neural network
Authors: Han Zhentao , Cheng Mengzeng , Chen Fangxi , Wang Yanze , Deng Zhuofu 
Published: February 2020

Abstract
In order to improve the accuracy of spatial load forecasting in power grid planning stage, a spatial load forecasting method based on density-based spatial clustering of applications with noise (DBSCAN) clustering algorithm and nonlinear auto regressive (NAR) neural network is proposed. This method consists of three stages: cell division, clustering, and forecasting. At first, zones are divided into cellules that are taken as the basic unit of spatial load forecasting. Historical yearly load profiles, along with geographic information and land use types, are extracted from cells as features. Furthermore, similar cells are classified into several clusters according to these features. Finally, a NAR neural network is established to forecasting load one year ahead for each cluster, where the historical load profiles are taken as input. Experiments reveal that our proposed model decreases MAE by 45.95%, 42.04% and 47.49% respectively compared with linear regression, grey theory and exponential smoothing, showing great improvements in accuracy.
Load forecasting considering multiple influencing factors
Authors: Ning Xin , Jin Liang 
Published: February 2020

Abstract
With the improvement of power conservation awareness and the development of the power market, load forecasting is playing an important role gradually. Effective load forecasting can help power system operators to develop appropriate scheduling strategies and help users plan their power consumption rationally. Considering the important position of load forecasting in the future power system field, this paper focus on this field. Based on the measured data from Australia, this paper considers the environmental and social factors affecting the power consumption in the region. The LSSVM algorithm is used for short-term load forecasting. Firstly, the invalid data is eliminated by data preprocessing, the missing data is completed, and the data of the content is included. The normalization process is carried out, and then the processed data is used for prediction. Finally, the effectiveness of the Least squares support vector machine algorithm load prediction after considering various factors is verified by comparison with the traditional neural network algorithm.
Quantitative Analysis Method of Immunochromatographic Strip Based on Reinforcement Learning
Authors: Liu Songming , Zeng Shaojun 
Published: February 2020

Abstract
Gold immunochromatographic assay (GICA) is a widely used immunological detection technology with high sensitivity and high efficiency as well as simple operation. Traditional GICA is mainly based on instrument for qualitative detection. In response to the above questions, this paper aims to develop an automated detection framework for immunochromatographic strips that can adaptively improve the detection performance of the gold immunochromatographic strip (GICS) system. As a research hotspot of machine learning (ML), reinforcement learning (RL) has made many progresses in the field of image segmentation. In this paper, the RL method is applied to the GICS system for the first time. The RL agent provides an adaptive segmentation model for the newly obtained GICS images by learning the state features of the preprocessed images. It is worth noting that our method does not require a large training data set and simultaneously can effectively reduce the grayscale-based image feature space. The experimental results show that the proposed method has a good segmentation effect, and provides a reliable solution for the quantitative analysis of the GICS system.