146 research outputs found

    Comparison of Raspberry bushy dwarf virus isolates from Hungary and Slovenia

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    In 2006 and 2007 samples of grapevine and Rubus species were collected and analysed by DAS-ELISA to survey the presence of Raspberry bushy dwarf virus (RBDV) in Slovenia and Hungary. Seven varieties of raspberry from one Hungarian collection orchard were found to be infected. In Slovenia the presence of RBDV was confirmed only in three samples of wild Rubus. None of the 133 samples from different locations in Hungary proved to be infected with RBDV, although this virus is found to be widely distributed in grapevine in neighbouring Slovenia. Serological characterisation with three monoclonal antibodies (R2, R5 and D1) was performed on positive samples. Selected positive samples were partially sequenced. The results of serological and molecular analyses were compared with the analyses of raspberry and grapevine isolates obtained in Slovenia from other projects and published RBDV sequences from the GeneBank database to study the variability among hosts and locations. Isolates from grapevine grouped separately from the black raspberry isolate and all the red raspberry isolates. RBDV isolates from Hungarian samples formed a subgroup within red and black raspberry group.Keywords: RBDV, variability, Rubus, raspberry, grapevine, sequences, monoclonal antibodie

    Pyridazines. XI. Some Reactions of 1,2,5-Thiadiazolo( 3,4-d) pyridazines

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    The synthesis of several substituted 1,2,5-thiadiazolo-(3,4-d)- pyridazines is described. In addition, two new tricyclic systems were obtained and some reactions with ring opening of the fused thiadiazolo ring are described

    Subdomain BEM formulations for the solution of bio-heat problems in biological tissue with melanoma lesions

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    © 2017 Elsevier Ltd The main objective of the research presented in this paper is the development of efficient subdomain BEM solvers for the solution of steady-state and transient bio-heat problems in biological tissue, particularly involving melanoma of different sizes such as Clark II and IV. The short-term goal of the work is to investigate which of the numerical schemes implemented here produces the highest accuracy and efficiency, as a first step towards the long-term goal of solving inverse bio-heat problems for tumour diagnostics, i.e. the detection of tumour size and tumour parameters. The numerical results show that quadratic elements produce high accuracy with coarser meshes, and are thus more computationally efficient for this type of problem. It was also found that, for transient problems, a BEM formulation using the time-dependent fundamental solution of the diffusion equation was more efficient than the use of the fundamental solution of the Laplace equation with a finite difference time discretisation scheme, as much larger time steps could be used for the same accuracy. This work proposes that the subdomain BEM with quadratic elements and a time-dependent fundamental solution provides high accuracy and reduced computational time, and is thus indicated for the inverse analysis of bio-heat problems

    Comience aquí, o aquí, no aquí: Introduções para repensar a política e a metodologia educativa em uma era pós-verdad

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    This special issue takes up urgent questions about how we education scholars might think and do policy and methodology in what has come to be known as the post-truth era. The authors in this special issue grapple with questions about the roles and responsibilities of educational researchers in an era in which research and policy have lost their moorings in T/truth. Collectively they reconceptualize educational research and policy in light of post-truths, anti-science sentiment, and the global rise of right-wing populism. At the same time we editors wonder whether post-truth is given a bad rap. Could post-truth have something productive to offer? What does post-truth open up for educational research and policy? Or, is the real issue of this special issue a collective despair of our own insignificance and obsolescence in the wake of post-truth. Whatever we editors and authors aimed to do, this special issue will not be heard by post-truth adherents and partisans. Perhaps its only contribution is encouragement to stay with the troubles of a post-truth era, even as we despair the consequences of our research and policy creations.Este número especial plantea preguntas urgentes sobre cómo los académicos de la educación pueden pensar y hacer políticas y metodologías en una era posverdad. Los autores se enfrentan a preguntas sobre los roles y responsabilidades de los investigadores educativos en un momento en que la investigación y la política han perdido sus amarres en V/verdad. En conjunto, reconceptualizan la investigación y la política educativa a la luz de las posverdades, el sentimiento anticientífico y el auge mundial del populismo de derecha. Los editores también se preguntan si a la posverdad se le da una mala reputación. ¿Podría la posverdad tener algo productivo que ofrecer? ¿Qué abre la posverdad a la investigación y la política educativa? O bien, ¿es el problema real de este número especial una desesperación colectiva de nuestra propia insignificancia y obsolescencia después de la posverdad? Independientemente de lo que nosotros (los editores y autores) pretendamos hacer, este número especial no será escuchado por los partidarios y partidarios de la posverdad. Quizás su única contribución sea un estímulo para permanecer con los problemas de una era posverdad, incluso cuando nos desesperamos por las consecuencias de nuestras investigaciones y creaciones de políticas.Esta dossiê especial levanta questões urgentes sobre como os estudiosos da educação podem pensar e fazer políticas e metodologias em uma era pós-verdade. Os autores se deparam com questões sobre os papéis e responsabilidades dos pesquisadores educacionais em um momento em que a pesquisa e a política perderam seus laços na verdade. Juntos, eles reconceitualizam a pesquisa e a política educacional à luz das verdades posteriores, do sentimento anti-científico e da ascensão mundial do populismo de direita. Os editores também se perguntam se a verdade posterior recebe uma má reputação. A pós-verdade poderia ter algo produtivo para oferecer? O que abre a verdade depois da pesquisa e da política educacional? Ou o verdadeiro problema desta questão especial é um desespero coletivo de nossa própria insignificância e obsolescência depois da verdade posterior? Independentemente do que nós (editores e autores) pretendemos fazer, esta edição especial não será ouvida pelos apoiadores e apoiadores da verdade posterior. Talvez sua única contribuição seja um incentivo para permanecer com os problemas de uma era pós-verdade, mesmo quando nos desesperamos com as conseqüências de nossa pesquisa e elaboração de políticas

    J-PLUS: Photometric Re-calibration with the Stellar Color Regression Method and an Improved Gaia XP Synthetic Photometry Method

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    We employ the corrected Gaia Early Data Release 3 (EDR3) photometric data and spectroscopic data from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) DR7 to assemble a sample of approximately 0.25 million FGK dwarf photometric standard stars for the 12 J-PLUS filters using the Stellar Color Regression (SCR) method. We then independently validated the J-PLUS DR3 photometry, and uncovered significant systematic errors: up to 15 mmag in the results of Stellar Locus (SL) method, and up to 10 mmag mainly caused by magnitude-, color-, and extinction-dependent errors of the Gaia XP spectra with the Gaia BP/RP (XP) Synthetic Photometry (XPSP) method. We have also further developed the XPSP method using the corrected Gaia XP spectra by Huang et al. (2023) and applied it to the J-PLUS DR3 photometry. This resulted in an agreement of 1-5 mmag with the SCR method, and a two-fold improvement in the J-PLUS zero-point precision. Finally, the zero-point calibration for around 91% of the tiles within the LAMOST observation footprint is determined through the SCR method, with the remaining approximately 9% of tiles outside this footprint relying on the improved XPSP method. The re-calibrated J-PLUS DR3 photometric data establishes a solid data foundation for conducting research that depends on high-precision photometric calibration.Comment: 21 papes; 20 figures, submitted, see main results in Figures 5 and 1
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