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Data of trees of the same age, but established in different years, were analyzed
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Deforestation was associated with low-slope areas, close to localities with a larger male population
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Easter music
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El bosque de encino se deforestó previo al decreto de la RBTC con tasa anual de cambio de -0.97 %
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El cambio se analizó en el periodo previo (1979-2001) y posterior (2001-2011) al decreto de la RBTC
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El rendimiento maderable ha sido sostenido con base en la estabilidad o aumento de las dimensiones de los árboles
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En el periodo posterior al decreto, el bosque se recuperó con una tasa anual de cambio de 0.22 %
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In the period after the decree, the forest recovered at an annual change rate of 0.22 %
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Infraestructura de datos espaciales
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1181por Khayli, Mounir, Lhor, Youssef, Bengoumi, Mohammed, Zro, Khalil, El Harrak, Mehdi, Bakkouri, Abdenacer, Akrim, Mohammed, Yaagoubi, Reda, El berbri, Ikhlass, Kichou, Faouzi, Berrada, Jaouad, Bouslikhane, Mohammed“…The subsequent interpolation was conducted using Ordinary Kriging regression methods and the semi variogram to focus on short distances and reduce uncertainty. …”
Publicado 2021
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1182“…In the first stage, the quaternion spherical linear interpolation and position linear interpolation are used to obtain the intermediate posture of the tooth during orthodontics, and the initial value of the orthodontic stage is obtained, and the obtained intermediate posture is used as a sampling node to apply to the next stage. …”
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1183por Easwaramoorthy, D., Gowrisankar, A., Manimaran, A., Nandhini, S., Rondoni, Lamberto, Banerjee, Santo“…In addition, this study also emphasis a feasible reconstruction of the death rate based on the fractal interpolation function. Subsequently, the normal probability plot is portrayed for the original data and the predicted data, derived through the fractal interpolation function to estimate the accuracy of the prediction. …”
Publicado 2021
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1184“…All training sets were interpolated using Gaussian process regression (GPR), which yielded maps with <1 [Formula: see text] T of error when interpolating between and extrapolating outside of observed locations. …”
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1185por Han, Jae-Soub, Eom, Tae-Hyeok, Choi, Seong-Wook, Seong, Kiho, Yoon, Dong-Hyun, Kim, Tony Tae-Hyong, Baek, Kwang-Hyun, Shim, Yong“…To address the above design challenges, we propose a reference-sampling-based calibration-free fractional-N PLL (RSFPLL) with a phase-interpolator-linked sampling clock generator (PSCG). …”
Publicado 2021
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1186por Świętoń, Dominik, Bernard, Weronika, Grzywińska, Małgorzata, Czarniak, Piotr, Durawa, Agata, Kaszubowski, Mariusz, Piskunowicz, Maciej, Szurowska, Edyta“…Introduction: Despite the significant increase in use of magnetic resonance imaging (MRI) in children, there is still a lack of normal reference values of renal size in this method and reference values are being interpolated from the ultrasound (US) studies. The study provides comparative analysis of agreement in renal length and volume measurements between MRI and ultrasound. …”
Publicado 2021
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1187“…We upscaled the original image from M × N to M ± 2N, dissimilar to conventional interpolation methods, wherein images are upscaled to 2M × 2N. …”
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1188por Linsalata, Stefania, Borgheresi, Rita, Marfisi, Daniela, Barca, Patrizio, Sainato, Aldo, Paiar, Fabiola, Neri, Emanuele, Traino, Antonio Claudio, Giannelli, Marco“…Radiomic features were estimated for 6 different isotropic resampling voxel sizes, using 10 interpolation algorithms (at fixed bin width) and 6 different bin widths (at fixed interpolation algorithm). …”
Publicado 2022
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1189“…One analysis method is optimal interpolation of in situ data, but the interior analysis can be improved by leveraging surface data with regression or variational approaches. …”
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1190“…While techniques enabling interpolation of broad-scale remote sensing metrics are vital for such efforts, direct remote sensing measurements of thermal conditions could improve habitat management by providing detailed insights that interpolative approaches cannot. …”
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1191A Comparison of Surrogate Behavioral Models for Power Amplifier Linearization under High Sparse Datapor Galaviz-Aguilar, Jose Alejandro, Vargas-Rosales, Cesar, Cárdenas-Valdez, José Ricardo, Aguila-Torres, Daniel Santiago, Flores-Hernández, Leonardo“…The presented models provide a comparison with original data that aid to compare the dimension and robustness for each surrogate model where (i) machine learning (ML)-based and (ii) CS interpolate-based where high sparse data are present, NMSE between the CS interpolated based are also compared to demonstrate the efficacy in the prediction methods with lower convergence times and complexities.…”
Publicado 2022
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1192“…Normalization to maximal EMG gave closer approximations to the level of voluntary muscle activation assessed by twitch interpolation.…”
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1193“…The system uses a moving least squares (MLS) meshless interpolation technique, allowing for more complex mesh configurations while still keeping the overall order of accuracy. …”
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1194Spectral analysis for pulse rate variability assessment from simulated photoplethysmographic signals“…Results: It was found that using fast Fourier transform and the multiple signal classification (PMUSIC) algorithms gave the best results, combined with cubic spline interpolation and a frequency resolution of 0.0078 Hz for the former; and a linear interpolation with a frequency resolution as low as 1.22 × 10(−4), as well as applying a fifth order model, for the latter. …”
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1195“…This method solves the over-smoothing problem faced by the conventional interpolation methods, and improves the operational speed and object detection performance when compared to the recent deep-learning-based super-resolution methods. …”
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1196“…The network adopts the structure of first interpolation and then pooling, which is more conducive to the extraction of pigment gland features. …”
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1197“…We investigated this equation could be used to interpolate missing growth data in children in the first three years of life. …”
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1198“…We construct three machine learning prediction models, employing regression, interpolation, and low- degree analytical function fitting, to predict the laser radiation intensity and duration settings that maximize the treatment efficiency. …”
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1199por Kallio, K., Malve, O., Siivola, E., Kervinen, M., Koponen, S., Lepistö, A., Lindfors, A., Laine, M.“…Various combinations of measurements were interpolated spatiotemporally using a data fusion system (DFS) based on an ensemble Kalman filter and smoother algorithms. …”
Publicado 2023
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1200por Blanco, Ignacio, Bueno, Patricia, Diego, Isidro, Pérez-Holanda, Sergio, Casas-Maldonado, Francisco, Esquinas, Cristina, Miravitlles, Marc“…In addition, the IDW-interpolation maps predicted Pi*Z frequencies throughout the world even in some areas that lack real data. …”
Publicado 2017
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