Results 41 to 50 of about 62,986 (286)

The Understanding America Study (UAS)

BMJ Open
Purpose The Understanding America Study (UAS) is a probability-based Internet panel housed at the Center for Economic and Social Research at the University of Southern California (USC).
Arie Kapteyn, Marco Angrisani, Jill E. Darling, Tania Gutsche   +3 more
semanticscholar   +1 more source

Conventional and electronic portfolios in medical residencies

Educación Médica, 2018
Portfolio is a new tool that gathers evidence of knowledge, abilities, attitudes, and values. This form of evaluation has arisen in the context of a competency based learning and evaluation.
Erika Celis-Aguilar, Juan Ruiz-Xicoténcatl   +1 more
doaj   +1 more source

An Evaluation of Image Velocimetry Techniques under Low Flow Conditions and High Seeding Densities Using Unmanned Aerial Systems

Remote Sensing, 2020
Image velocimetry has proven to be a promising technique for monitoring river flows using remotely operated platforms such as Unmanned Aerial Systems (UAS).
Sophie Pearce, Robert Ljubičić, Salvador Peña-Haro, Matthew Perks, Flavia Tauro, Alonso Pizarro, Silvano Fortunato Dal Sasso, Dariia Strelnikova, Salvatore Grimaldi, Ian Maddock, Gernot Paulus, Jasna Plavšić, Dušan Prodanović, Salvatore Manfreda   +13 more
doaj   +1 more source

Character association and identification of trait specific introgression in restorer lines of sunflower (Helianthus annuus L.)

Electronic Journal of Plant Breeding, 2022
The study was carried out involving 40 MAGIC crosses of sunflower restorer lines along with 10 parental checks during rabi, 2020 grown in augmented block design with four blocks at MARS, UAS Raichur with an objective of assessing variation and ...
Girish1, Vikas V. Kulkarni2*, B. V. Tembhurne3, J. R. Diwan3 and Sreedevi S. Chavan2
doaj   +1 more source

Tree Species Classification and Health Status Assessment for a Mixed Broadleaf-Conifer Forest with UAS Multispectral Imaging

Remote Sensing, 2020
Automatic discrimination of tree species and identification of physiological stress imposed on forest trees by biotic factors from unmanned aerial systems (UAS) offers substantial advantages in forest management practices.
Azadeh Abdollahnejad, D. Panagiotidis
semanticscholar   +1 more source

Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping

Remote Sensing, 2021
Drought significantly limits wheat productivity across the temporal and spatial domains. Unmanned Aerial Systems (UAS) has become an indispensable tool to collect refined spatial and high temporal resolution imagery data.
Mahendra Bhandari, S. Baker, J. Rudd, A. Ibrahim, Anjin Chang, Q. Xue, Jinha Jung, J. Landivar, B. Auvermann   +8 more
semanticscholar   +1 more source

ISOLATIN OF AERBIC FACULTATIVE BACTERIA FROM THE SEMEN OF HOLSTEIN FRIESTAN BULLS [PDF]

Journal of Veterinary and Animal Sciences, 1996
Semen samples (324 samples) from 27 Holstein friesian bulls were studied for bacterial comtamination.
D. Rathnamma, M. Sathyanarayana Rao, K.R. Ramanatha, R. Raghavan   +3 more
doaj  

Unmanned Aircraft System- (UAS-) Based High-Throughput Phenotyping (HTP) for Tomato Yield Estimation

J. Sensors, 2021
Yield prediction and variety selection are critical components for assessing production and performance in breeding programs and precision agriculture.
Anjin Chang, Jinha Jung, J. Yeom, M. Maeda, J. Landivar, J. Enciso, C. Avila, J. Anciso   +7 more
semanticscholar   +1 more source

UA-ZBSA [PDF]

Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007
This paper presents a headline emotion classification approach based on frequency and co-occurrence information collected from the World Wide Web. The content words of a headline (nouns, verbs, adverbs and adjectives) are extracted in order to form different bag of word pairs with the joy, disgust, fear, anger, sadness and surprise emotions.
Zornitsa Kozareva, Borja Navarro, Sonia Vázquez, Andrés Montoyo   +3 more
openaire   +1 more source

Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework

Remote Sensing, 2020
Assessing plant population of cotton is important to make replanting decisions in low plant density areas, prone to yielding penalties. Since the measurement of plant population in the field is labor intensive and subject to error, in this study, a new ...
Sungchan Oh, Anjin Chang, Akash Ashapure, Jinha Jung, Nothabo Dube, M. Maeda, D. González, J. Landivar   +7 more
semanticscholar   +1 more source