A new method for the inversion of atmospheric parameters of A/Am stars

We present an automated procedure that derives simultaneously the effective temperature $T_{eff}$, the surface gravity logg, the metallicity [Fe/H], and the equatorial projected rotational velocity vsini for "normal" A and Am stars. The procedure is based on the principal component analysis inversion method of Paletou et al. (2015a). A sample of 322 high resolution spectra of F0-B9 stars, retrieved from the Polarbase, SOPHIE, and ELODIE databases, were used to test this technique with real data. We have selected the spectral region from 4400-5000\AA\ as it contains many metallic lines and the Balmer H$\beta$ line. Using 3 datasets at resolving powers of R=42000, 65000 and 76000, about 6.6x$10^6$ synthetic spectra were calculated to build a large learning database. The Online Power Iteration algorithm was applied to these learning datasets to estimate the principal components (PC). The projection of spectra onto the few PCs offered an efficient comparison metric in a low dimensional space. The spectra of the well known A0- and A1-type stars, Vega and Sirius A, were used as control spectra in the three databases. Spectra of other well known A-type stars were also employed in order to characterize the accuracy of the inversion technique. All observational spectra were inverted and atmospheric parameters derived. After removal of a few outliers, the PCA-inversion method appears to be very efficient in determining $T_{eff}$, [Fe/H], and vsini for A/Am stars. The derived parameters agree very well with previous determinations. Using a statistical approach, deviations of around 150 K, 0.35 dex, 0.15 dex, and 2 km/s were found for $T_{eff}$, logg, [Fe/H], and vsini with respect to literature values for A-type stars. The PCA-inversion proves to be a very fast, practical, and reliable tool for estimating stellar parameters of FGK and A stars, and deriving effective temperatures of M stars.Comment: 16 pages, 9 figures. Accepted in A&

Local solutions in Sobolev spaces with negative indices for the "good" Boussinesq equation

We study the local well-posedness of the initial-value problem for the nonlinear "good" Boussinesq equation with data in Sobolev spaces \textit{$H^s$} for negative indices of $s$.Comment: Referee comments incorporate

FRB microstructure revealed by the real-time detection of FRB170827

We report a new fast radio burst (FRB) discovered in real-time as part of the UTMOST project at the Molonglo Observatory Synthesis Radio Telescope. FRB170827 was first detected with our low-latency (20 ± 7 Jy ms, and is narrow with a width of ∼400 s at 10 per cent of its maximum amplitude. However, the burst shows three temporal components, the narrowest of which is ∼30 s, and a scattering time-scale of 4.1 ± 2.7 s. The FRB shows spectral modulations on frequency scales of 1.5 MHz and 0.1 MHz. Both are prominent in the dynamic spectrum, which shows a very bright region of emission between 841 and 843 MHz, and weaker and patchy emission across the entire band. We show that the fine spectral structure could arise in the FRB host galaxy, or its immediate vicinity

Morphological Operation on Binary Image

Morphing merupakan suatu teknik dari pengolahan citra yang didasarkan padapengolahan bentuk. Nilai dari tiap piksel citra yang diolah merupakan bentuk perbandinganantara piksel yang bersesuaian dari citra masukkan dengan nilai piksel tetangganya.Dengan memilih ukuran dan bentuk dari lingkungan, kita dapat membangun operasi analisisuntuk mengolah citra yang dimasukkan agar lebih spesifik

Information Systems Continuance: Faculty Perceptions of Canvas

This research in process proposes a study of the theoretical background, motivation, and methods to examine factors that predict faculty perceived usefulness, ease of use, satisfaction and learning facilitation of the Canvas learning management system. We propose utilizing a model to predict continuance intention of use in an online class using Canvas and describe the methodology that will be used to test this model. The focus of this research is on continuance usage as it is the variable that enhances the teaching and learning experience with factors that are helpful in understanding the phenomenon

Ensemble machine learning approach for electronic nose signal processing

Electronic nose (e-nose) systems have been reported to be used in many areas as rapid, low- cost, and non-invasive instruments. Especially in meat production and processing, e-nose system is a powerful tool to process volatile compounds as a unique ‘fingerprint’. The ability of the pattern recognition algorithm to analyze e-nose signals is the key to the success of the e-nose system in many applications. On the other hand, ensemble methods have been reported for favorable performances in various data sets. This research proposes an ensemble learning approach for e-nose signal processing, especially in beef quality assessment. Ensemble methods are not only used for learning algorithms but also sensor array optimization. For sensor array optimization, three filter-based feature selection algorithms (FSAs) are used to build ensemble FSA such as reliefF, chi-square, and gini index. Ensemble FSA is developed to deal with different or unstable outputs of a single FSA on homogeneous e-nose data sets in beef quality monitoring. Moreover, ensemble learning algorithms are employed to deal with multi-class classification and regression tasks. Random forest and Adaboost are used that represent bagging and boosting algorithms, respectively. The results are also compared with support vector machine and decision tree as single learners. According to the experimental results, our ensemble approach has good performance and generalization in e-nose signal processing. Optimized sensor combination based on filter-based FSA shows stable results both in classification and regression tasks. Furthermore, Adaboost as a boosting algorithm produces the best prediction even though using a smaller number of sensor

Educational potential of public music lectures at Kazan Federal University (from emotional education to global thinking development)

The article highlights the topical issues of human education of the future humanisticnoospheric civilization on the example of the leading extracurricular form of concert and creative activity of teachers and students of the Kazan Federal University - the music educational lyceum. As a result of analyzing the interdisciplinary theoretical studies (on the problems of future education and the potential of educational activity of the musical and pedagogical structure of the university) and the practical pedagogical experience, we revealed the integrative potential of the lyceum in the aspect of the education of the future - from the education of human feelings to the development of his planetary, cosmic thinking. The lyceum potential is presented in the aggregate of culturally-creating, communicative-cognitive (information-evolutionary), problem-reflective (self-educational, research), dialogic-creative (culturological, activity) characteristics. The conducted research allowed determining the conditions (continuous self-education, updating and integration of educational resources on the basis of the information-evolutionary connection "human - nature - society", expansion of research and execution potential on the basis of scientific and creative collaboration, development of the traditions of outreach activities to different audiences) and the ways of practical implementation of the pedagogical potential of the lyceum as a form of education of the future. Particular attention is given to the cultural interpretation of works of art, cooperation technologies, problem training and actualization of the motivational potential of the educational environment on the basis of global education models able to form a human - the universe.Key words: education of the future, musical education, extracurricular concert-creative activity, future teacher

AB0951 THE ITALIAN FIBROMYALGIA REGISTRY: A NEW WAY OF USING ROUTINE REAL-WORLD DATA CONCERNING PATIENT-REPORTED DISEASE STATUS IN HEALTHCARE RESEARCH AND CLINICAL PRACTICE

Background:Fibromyalgia (FM), the most frequently encountered cause of widespread musculoskeletal pain, affects an estimated 2% of the general Italian population. However, it is not a homogeneous clinical entity, and a number of interacting factors can influence patient prognosis and the outcomes of standardised treatment programmes. Registries are a source of high-quality data for clinical research, but relating this information to individual patients is technically challenging.Objectives:The aim of this article is to describe the structure and objectives of the first Italian Fibromyalgia Registry (IFR), a new web-based registry of patients with FM.Methods:The IFR was developed to collect, store, and share information electronically entered by physicians throughout Italy who are members of the Italian Society of Rheumatology and have a particular interest in FM. It has a web-based architecture that uses two separate servers and an encryption algorithm to ensure the confidentiality and integrity of the exchanged data. The questionnaires included on the platform are the Revised Fibromyalgia Impact Questionnaire (FIQR), the modified Fibromyalgia Assessment Status (ModFAS), and the Polysymptomatic Distress Scale (PDS).Results:The registry includes data relating to 2,339 patients (93.2% female) who satisfied the 1990 or 2010/2011 American College of Rheumatology Classification Criteria for Fibromyalgia at the time of diagnosis. At the time of this analysis, the patients had a mean age of 51.9 years (SD 11.5) and a mean disease duration of 7.3 years (SD 6.9). The majority were married (71.3%), and generally well educated. The overall median FIQR, ModFAS and PDS scores and 25th-75thpercentiles were respectively 61.16 (41.16-77.00), 8.91 (41.16-77.00), and 19.0 (13.00-24.00). The six highest scoring items indicating the greatest impact of the disease on the patients related to fatigue/energy (7.18), sleep quality (6.87), tenderness (6.69), pain (6.68), stiffness (6.66), and environmental sensitivity (6.35). A high proportion of the responding patients reported experiencing pain in the neck (80.46%), upper back (68.36%), and lower back (75.05%).Conclusion:The IFR is the most comprehensive FM registry in Italy, and provides healthcare professionals with a secure, reliable, and easy-to-use means of monitoring the patients' clinical progression, treatment history and treatment responses. This can help clinicians to plan patient management, facilitates research study patient recruitment, and provides the participating pain clinics with statistics based on real-world data. It also helps address the Italian Ministry of Health long-term goal of using precision medicine for chronic pain prevention and treatment. It is hoped that the IFR will enhance both scientific research and clinical practice.References:[1]Drolet BC, Johnson KB: Categorizing the world of registries 2008; 41: 1009–20.[2]Martinez JE, Paiva ES, Rezende MC, Heymann RE, Helfenstein M, Ranzolin A, et al.: EpiFibro (Brazilian Fibromyalgia Registry): data on the ACR classification and diagnostic preliminary criteria fulfillment and the follow-up evaluation. 2017; 57: 129–33[3]Whipple MO, McAllister SJ, Oh TH, Luedtke CA, Toussaint LL, Vincent A: Construction of a US fibromyalgia registry using the Fibromyalgia Research Survey criteria. 2013; 6: 398–99[4]Wolfe F, Smythe HA, Yunus MB, Bennett RM, Bombardier C, Goldenberg D, et al.: The American College of Rheumatology 1990 Criteria for the Classification of Fibromyalgia. Report of the Multicenter Criteria Committee. 1990; 33: 160–72Disclosure of Interests:None declare

Blood flow measurements in rats using four color microspheres during blockade of different vasopressor systems

The use of colored microspheres to adequately evaluate blood flow chancres under different circumstances in the same rat has been validated with a maximum of three different colors due to methodological limitations. the aim of the present study was to validate the use of four different colors measuring four repeated blood flow. changes in the same rat to assess the role of vasopressor systems in. controlling arterial pressure (AP). Red (150,000), white (200,000)), yellow (150,000), and blue (200,000) colored microspheres were infused into the left ventricle of 6 male Wistar rats 1) at rest and 2) after vasopressin (aAVP, 10 mug/kg, iv), 3) renin-angiotensin (losartan, 10 ms/kg iv), and 4) sympathetic system blockade (hexamethonium., 20 mg/kg, iv) to determine blood flow changes. AP was recorded and processed with a data acquisition system (1-kHz sampling frequency). Blood flow changes were quantified by spectrophotometry absorption peaks for colored microsphere components in the tissues evaluated. Administration of aAVP and losartan slightly reduced the AP (-5.7 +/- 0.5 and -7.8 +/- 1.2 mmHg, respectively), while hexamethonium induced a 52 +/- 3 mmHg fall in AP. the aAVP injection increased blood flow in lungs (78%), liver (117%) and skeletal muscle (>150%), while losartan administration enhanced blood flow in heart (126%), lungs (100%), kidneys (80%), and gastrocnemius (75%) and soleus (94%) muscles. Hexamethonium administration reduced only kidney blood flow (50%). in conclusion, four types of colored microspheres can be used to perform four repeated blood flow measurements in the same rat detecting small alterations such as changes in tissues with low blood flow.Univ São Paulo, Fac Med, Inst Coracao, Unidade Hipertensao, BR-05403000 São Paulo, BrazilUniversidade Federal de São Paulo, Escola Paulista Med, Dept Nefrol, São Paulo, BrazilUniv Santo Amaro, UNIPESQ, Santo Amaro, SP, BrazilUniv Sao Judas Tadeu, Lab Movimiento Humano, São Paulo, BrazilUniversidade Federal de São Paulo, Escola Paulista Med, Dept Nefrol, São Paulo, BrazilWeb of Scienc