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Cost of Production for Processed Oranges in Central Florida (Ridge), 2014/15
Published 2016-05-01“…FE985/FE985: Cost of Production for Processed Oranges in Central Florida (Ridge), 2014/15 (ufl.edu) …”
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Summary of 2002 Ridge and Indian River-South Florida Citrus Caretaker Surveys
Published 2003-03-01Get full text
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Cost of Production for Processed Oranges Grown in Central Florida (Ridge), 2015/16
Published 2017-02-01“… This article presents a summary of the 2015/16 costs of production for Processed Oranges in Central Florida (Ridge). The methodology chosen to collect the data consisted of surveying growers directly to closely reflect growers’ costs in the era of HLB. …”
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Clinical study on horizontal bone augmentation using an alveolar mucosa-periosteal bone flap
Published 2025-02-01Subjects: “…Alveolar ridge…”
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The Influence of Petrography on the Relief of Bistriţei Mountains (The Eastern Carpathians)
Published 2024-12-01Subjects: Get full text
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Extraction Socket Seal Technique for Socket Preservation after Tooth Extraction: An Innovative Approach.
Published 2024-06-01Subjects: “…Alveolar ridge preservation…”
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Design of Silicide-Strengthened Nb–Si–Cr–(Mo) alloys for additive manufacturing
Published 2025-03-01Get full text
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Decoding substance use disorder severity from clinical notes using a large language model
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Effect of microstructure and neutron irradiation defects on deuterium retention in SiC
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Propagation and Production of Gulf Bluestem
Published 2004-12-01“…Following the formation of a more seaward ridge, gulf bluestem replaces sea oats (Uniola paniculata L. …”
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Estimating energy consumption and GHG emissions in the U.S. food supply chain for net-zero
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What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection
Published 2022-06-01“…This study comprehensively assessed ten widely used data techniques, namely AdaBoost, Bayesian ridge, gradient tree boosting, K-nearest neighbors, Lasso, multivariable linear regression, neural network, random forest, ridge regression, and support vector machine. …”
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A Scientific Framework for Managing Urban Natural Areas
Published 1996-10-01“… The purposes of this paper are: to present a scientific framework for managing urban natural areas; to discuss general ecological issues and management concerns identified from our early efforts at applying this approach to Broward County ESL sites; and to discuss the Pine Island Ridge ESL site as a case study. …”
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Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.
Published 2025-01-01“…This study employs machine learning models, including Linear Regression, Ridge Regression, Lasso Regression, Bayesian Ridge, Decision Tree, Gradient Boosting, XGBoost, and CatBoost, to forecast future trends in under-5 mortality. …”
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Benefit Evaluation of Different Allocation Modes of Soil and Water Conservation Measures in Ta-pieh Mountains Area
Published 2024-12-01“…For example, the benefits of sediment reduction in stone ridge terrace + chestnut were better than those of runoff reduction; (3) Vetiver and vetiver contour hedgerow were the best measures for soil and water conservation in this study, and the comprehensive benefit of vetiver contour hedgerow reached 70%. …”
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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models
Published 2025-02-01“…Conclusions The Stochastic Gradient Boosting model demonstrated the highest predictive performance, while the Ridge-Cox model offered better interpretability with a comparable performance. …”
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Congenital granular cell epulis: a case report with immunohistochemistry
Published 2021-07-01“…In most cases it arises from the anterior part of the maxillary alveolar ridge and is ten times more prevalent in females than males. …”
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Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients
Published 2025-02-01“…Seven survival machine learning algorithms were used: LASSO, Ridge, RSF, E-NET, GBS, C-GBS, and FS-SVM. Model development employed 5-fold cross-validation, random oversampling, and hyperparameter tuning. …”
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