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451 results on '"Plaza, Javier"'

3. Substance use, mental health and dual disorders on pregnancy: Results of prevalence and treatment rates in a developed country/Salud mental, abuso de sustancias y trastornos duales en el embarazo: Tasas de prevalencia y tratamiento en un pais desarrollado

Author

Camacho, Rodrigo Carmona, Carpintero, Nayara Lopez, Barrigon, Maria Luisa, Nogales, Cristina Ruiz, Menendez, Ines, Alonso, Montserrat Sanchez, Canizares, Irene Caro, Aguado, Juan Jose Hernandez, Cook, Benjamin Le, Alegria, Margarita, Cornudella, Ricardo Saviron, Plaza, Javier, and Baca-Garcia, Enrique

Published
2022

12. Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification

Author

Liu, Qingshan, Hang, Renlong, Song, Huihui, Zhu, Fuping, Plaza, Javier, and Plaza, Antonio

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Convolutional neural networks (CNNs) have attracted increasing attention in the remote sensing community. Most CNNs only take the last fully-connected layers as features for the classification of remotely sensed images, discarding the other convolutional layer features which may also be helpful for classification purposes. In this paper, we propose a new adaptive deep pyramid matching (ADPM) model that takes advantage of the features from all of the convolutional layers for remote sensing image classification. To this end, the optimal fusing weights for different convolutional layers are learned from the data itself. In remotely sensed scenes, the objects of interest exhibit different scales in distinct scenes, and even a single scene may contain objects with different sizes. To address this issue, we select the CNN with spatial pyramid pooling (SPP-net) as the basic deep network, and further construct a multi-scale ADPM model to learn complementary information from multi-scale images. Our experiments have been conducted using two widely used remote sensing image databases, and the results show that the proposed method significantly improves the performance when compared to other state-of-the-art methods.

Published
2016

23. Facilitators of and Barriers to Model School Psychological Services

Author

Castillo, Jose M., Arroyo-Plaza, Javier, Tan, Sim Yin, Sabnis, Sujay, and Mattison, Amira

Abstract

This study examined facilitators of and barriers to comprehensive and integrated services. A national sample of 267 full-time practicing school psychologists who were Regular Members or Early Career Members of the National Association of School Psychologists participated. We administered a survey to participants that measured the extent to which they engaged in comprehensive and integrated services and the top facilitators of and barriers to those services using web-based survey procedures. Results indicated that the majority of facilitators identified ("Personal Attributes," "Stakeholder Involvement," "Resources and Support," "School-Specific Variables," "Contextual Variables") predicted greater levels of comprehensive and integrated service delivery. Identified barriers--which often reflected the opposite condition of the facilitators--predicted lower levels of service delivery in some instances; however, they predicted services less often than did facilitators. Implications for research focused on better understanding factors that impact service delivery and on processes for facilitating increased comprehensive and integrated service delivery are discussed. Additionally, implications for practice include the assessment of facilitators and barriers, the use of data to plan for the delivery of comprehensive and integrated services, and advocacy for systems change.

Published
2017
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44. AMEEPAR: Parallel Morphological Algorithm for Hyperspectral Image Classification on Heterogeneous Networks of Workstations

Author

Plaza, Antonio, Plaza, Javier, Valencia, David, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Alexandrov, Vassil N., editor, van Albada, Geert Dick, editor, Sloot, Peter M. A., editor, and Dongarra, Jack, editor

Published
2006
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47. Using subcutaneous bio-loggers to monitor circadian rhythmicity of temperature, heart rate and activity in sheep under intensive housing conditions.

Author

Abecia, José-Alfonso, Luis, Silvia, Canto, Francisco, Plaza, Javier, and Palacios, Carlos

Subjects
HEART beat, SHEEP, EWES, GOAT milk, HOUSING, TEMPERATURE, BARLEY
Abstract

Subcutaneous bio-loggers were used to monitor temperature (T), heart rate (HR), and activity (ACT) of eight ewes managed under intensive housing conditions (permanent stabling and fed once per day). Animals were fed barley straw ad libitum and 0.45 kg concentrate per ewe per day at 08:00 h. Ewes received a surgically implanted bio-logger programmed to record data every 30 min for 12 d. Mean (±SE) T was lower (P < 0.001) in the day (37.88 ± 0.01°C) than at night (38.14 ± 0.01°C), and maximum T occurred at 23:00 h (38.31°C) and minimum T at 08:00 h (37.36°C), immediately after food distribution; however, mean HR (74.41 ± 0.49 bpm) and ACT (15.10 ± 0.30 mg) were higher (P < 0.001) in the day than at night (66.42 ± 0.38 bpm and 6.56 ± 0.22 mg, respectively); maximum HR (87.71 bpm) occurred at 09:30 h, and maximum ACT at 10:00 h (28.47 mg). The cosinor curves for T, HR, and ACT of the eight ewes fit a 24-h rhythm (P < 0.0001). In conclusion, ewes permanently housed presented a clear T, HR and ACT 24-h circadian rhythmicity, whose peaks were coincident with feeding time of the grain-based concentrate. [ABSTRACT FROM AUTHOR]

Published
2022
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