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521 results on '"Martin, M. V."'

2. Value of exercise right heart catheterization for differential diagnosis of dyspnoea in chronic thromboembolic pulmonary disease

Author

Huertas Nieto, S, primary, Velazquez Martin, M V, additional, Sarnago Cebada, F, additional, Manerio Melon, N, additional, Albarran Gonzalez-Trevilla, A, additional, Rivadulla Varela, C, additional, Jimenez Lopez-Guarch, C, additional, Aguilar Colindres, R, additional, Segura De La Cal, T, additional, Flox Camacho, A, additional, Cruz Utrilla, A, additional, Martin De Miguel, I, additional, Revilla Ostozala, Y, additional, Arribas Ynsaurriaga, F, additional, and Escribano Subias, P, additional

Published
2023
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7. Sustenance of Indian Moored Buoy Network During COVID-19 Pandemic – A Saga of Perseverance

Author

Venkatesan, R., primary, Joseph, K. Jossia, additional, Prasad, C. Anoopa, additional, Kalyani, M., additional, Muthiah, M. Arul, additional, Ramasundaram, S., additional, Murugesh, P., additional, Thirumurugan, K., additional, Sundar, R., additional, Kesavakumar, B., additional, Vengatesan, G., additional, Ramesh, K., additional, Martin, M. V., additional, Navaneeth, K. N., additional, Senthilkumar, P., additional, Haldar, Biswajit, additional, Tandon, Abhishek, additional, Sridharan, R., additional, Jesuraj, S. Sundar, additional, Muthukumar, C., additional, Sundaravadivelu, N., additional, and Saravanan, M., additional

Published
2021
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10. Early detection, diagnosis and intervention services for young children with autism spectrum disorder in the European Union (ASDEU):family and professional perspectives

Author

Bejarano-Martin, A. (Alvaro), Canal-Bedia, R. (Ricardo), Magan-Maganto, M. (Maria), Fernandez-Alvarez, C. (Clara), Cilleros-Martin, M. V. (Maria Victoria), Sanchez-Gomez, M. C. (Maria Cruz), Garcia-Primo, P. (Patricia), Rose-Sweeney, M. (Mary), Boilson, A. (Andrew), Linertova, R. (Renata), Roeyers, H. (Herbert), Van der Paelt, S. (Sara), Schendel, D. (Diana), Warberg, C. (Christine), Cramer, S. (Susanne), Narzisi, A. (Antonio), Muratori, F. (Filippo), Scattoni, M. L. (Maria Luisa), Moilanen, I. (Irma), Yliherva, A. (Anneli), Saemundsen, E. (Evald), Loa Jonsdottir, S. (Sigridur), Efrim-Budisteanu, M. (Magdalena), Arghir, A. (Aurora), Papuc, S. M. (Sorina Mihaela), Vicente, A. (Astrid), Rasga, C. (Celia), Roge, B. (Bernadette), Guillon, Q. (Quentin), Baduel, S. (Sophie), Kafka, J. X. (Johanna Xenia), Poustka, L. (Luise), Kothgassner, O. D. (Oswald D.), Kawa, R. (Rafal), Pisula, E. (Ewa), Sellers, T. (Tracey), Posada de la Paz, M. (Manuel), Bejarano-Martin, A. (Alvaro), Canal-Bedia, R. (Ricardo), Magan-Maganto, M. (Maria), Fernandez-Alvarez, C. (Clara), Cilleros-Martin, M. V. (Maria Victoria), Sanchez-Gomez, M. C. (Maria Cruz), Garcia-Primo, P. (Patricia), Rose-Sweeney, M. (Mary), Boilson, A. (Andrew), Linertova, R. (Renata), Roeyers, H. (Herbert), Van der Paelt, S. (Sara), Schendel, D. (Diana), Warberg, C. (Christine), Cramer, S. (Susanne), Narzisi, A. (Antonio), Muratori, F. (Filippo), Scattoni, M. L. (Maria Luisa), Moilanen, I. (Irma), Yliherva, A. (Anneli), Saemundsen, E. (Evald), Loa Jonsdottir, S. (Sigridur), Efrim-Budisteanu, M. (Magdalena), Arghir, A. (Aurora), Papuc, S. M. (Sorina Mihaela), Vicente, A. (Astrid), Rasga, C. (Celia), Roge, B. (Bernadette), Guillon, Q. (Quentin), Baduel, S. (Sophie), Kafka, J. X. (Johanna Xenia), Poustka, L. (Luise), Kothgassner, O. D. (Oswald D.), Kawa, R. (Rafal), Pisula, E. (Ewa), Sellers, T. (Tracey), and Posada de la Paz, M. (Manuel)

Abstract

Early services for ASD need to canvas the opinions of both parents and professionals. These opinions are seldom compared in the same research study. This study aims to ascertain the views of families and professionals on early detection, diagnosis and intervention services for young children with ASD. An online survey compiled and analysed data from 2032 respondents across 14 European countries (60.9% were parents; 39.1% professionals). Using an ordinal scale from 1 to 7, parents’ opinions were more negative (mean = 4.6; SD 2.2) compared to those of professionals (mean = 4.9; SD 1.5) when reporting satisfaction with services. The results suggest services should take into account child’s age, delays in accessing services, and active stakeholders’ participation when looking to improve services.

Published
2020

20. A Global Analysis of Wildfire Smoke Injection Heights Derived from Space-Based Multi-Angle Imaging

Author

Martin, M. V., Kahn, R. A., and Tosca, M. G.

Abstract

We present an analysis of over 23,000 globally distributed wildfire smoke plume injection heights derived from Multi-angle Imaging SpectroRadiometer (MISR) space-based, multi-angle stereo imaging. Both pixel-weighted and aerosol optical depth (AOD)-weighted results are given, stratified by region, biome, and month or season. This offers an observational resource for assessing first-principle plume-rise modelling, and can provide some constraints on smoke dispersion modelling for climate and air quality applications. The main limitation is that the satellite is in a sun-synchronous orbit, crossing the equator at about 10:30 a.m. local time on the day side. Overall, plumes occur preferentially during the northern mid-latitude burning season, and the vast majority inject smoke near-surface. However, the heavily forested regions of North and South America, and Africa produce the most frequent elevated plumes and the highest AOD values; some smoke is injected to altitudes well above 2 km in nearly all regions and biomes. Planetary boundary layer (PBL) versus free troposphere injection is a critical factor affecting smoke dispersion and environmental impact, and is affected by both the smoke injection height and the PBL height; an example assessment is made here, but constraining the PBL height for this application warrants further work.

Published
2018

25. Stakeholder integration in new product development – A systematic analysis of drivers and firm capabilities

Author

Martin, M. V., Reinhardt, R., Gurtner, S., Martin, M. V., Reinhardt, R., and Gurtner, S.

Abstract

In this article, we develop a conceptual model of stakeholder integration in new product development (NPD) that (i) explains the drivers of the process and (ii) proposes a framework of capabilities that firms need for successful stakeholder integration. The focus lies on external stakeholders that directly influence the adoption of new products. We conduct a systematic literature review and content analyze a sample of 96 peer-reviewed journal articles. The study is restricted to the medical device industry to enable the use of specific search terms and the consistent categorization of information. We dedicate a section to showing how the framework applies to other settings. The drivers of stakeholder integration are classified into push factors (i.e., expected benefits for the focal firm) and pull factors (i.e., expected benefits for the stakeholders). This study provides an initial model of how stakeholder integration works based on its drivers. In addition, three related stakeholder integration capabilities emerge: stakeholder identification capability, stakeholder interaction capability and stakeholder input integration capability. The paper proposes a description of these capabilities for stakeholder integration in NPD and, thus, contributes to stakeholder theory and research on the management of NPD. The results open new paths for empirical testing and offer practical guidance on how to successfully integrate stakeholders in NPD processes.

Published
2016

28. Assessment of climate variations in temperature and precipitation extreme events over Iran

Author

Soltani, M., primary, Laux, P., additional, Kunstmann, H., additional, Stan, K., additional, Sohrabi, M. M., additional, Molanejad, M., additional, Sabziparvar, A. A., additional, Ranjbar SaadatAbadi, A., additional, Ranjbar, F., additional, Rousta, I., additional, Zawar-Reza, P., additional, Khoshakhlagh, F., additional, Soltanzadeh, I., additional, Babu, C. A., additional, Azizi, G. H., additional, and Martin, M. V., additional

Published
2015
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42. Estimating location parameters in a mixture

Author

Heydorn, R. P and Martin, M. V

Subjects
Numerical Analysis
Abstract

The problem of estimating the parameters in a finite mixture is considered. The approach is based on an integral equation formulation of the form h sub t (x) = integral (limits b and a) f(x-y) g sut t (y)dy where h sub t is a smoothed version of h and g sub t is a prior function that tends to be concentrated on the translation values. A solution for g sub t that uses the method of regularization and one based on a posterior operator approach is considered. Numerical simulations are presented to bring out some of the estimation and numerical problems of these approaches.

Published
1984

43. Evaluation of small area crop estimation techniques using LANDSAT- and ground-derived data

Author

Amis, M. L, Martin, M. V, Mcguire, W. G, and Shen, S. S

Subjects
Earth Resources And Remote Sensing
Abstract

Studies completed in fiscal year 1981 in support of the clustering/classification and preprocessing activities of the Domestic Crops and Land Cover project. The theme throughout the study was the improvement of subanalysis district (usually county level) crop hectarage estimates, as reflected in the following three objectives: (1) to evaluate the current U.S. Department of Agriculture Statistical Reporting Service regression approach to crop area estimation as applied to the problem of obtaining subanalysis district estimates; (2) to develop and test alternative approaches to subanalysis district estimation; and (3) to develop and test preprocessing techniques for use in improving subanalysis district estimates.

Published
1982

44. Evaluation of large area crop estimation techniques using LANDSAT and ground-derived data

Author

Amis, M. L, Lennington, R. K, Martin, M. V, Mcguire, W. G, and Shen, S. S

Subjects
Earth Resources And Remote Sensing
Abstract

The results of the Domestic Crops and Land Cover Classification and Clustering study on large area crop estimation using LANDSAT and ground truth data are reported. The current crop area estimation approach of the Economics and Statistics Service of the U.S. Department of Agriculture was evaluated in terms of the factors that are likely to influence the bias and variance of the estimator. Also, alternative procedures involving replacements for the clustering algorithm, the classifier, or the regression model used in the original U.S. Department of Agriculture procedures were investigated.

Published
1981

45. Evaluation of large area crop estimation techniques

Author

Amis, M. L, Lennington, R. K, Martin, M. V, Mcguire, W. G, and Shen, S. S

Subjects
Earth Resources And Remote Sensing
Abstract

The performance of the USDAs EDITOR system is evaluated. The system processes Landsat imagery and estimates crop hectarage for large areas based on a regression estimator developed on a sample with known ground truth. It is found that use of multitemporal data over unitemporal significantly improves the hectarage estimates, and a 15% reduction in the r-squared of the regression occurs when independent and jackknifed test sets are used to evaluate the performance of the estimator. When an alternative clustering algorithm, CLASSY, is substituted for the current EDITOR method, estimator performance is improved with reduced need for analyst decisions. It is recommended that the CLASSY clustering algorithm and some form of jackknifing be implemented on EDITOR.

Published
1981

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