Relevant bibliographies by topics / Shade Tree Laboratories

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  2. Conference papers

Academic literature on the topic 'Shade Tree Laboratories'

Author: Grafiati
Published: 27 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Shade Tree Laboratories"

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Meller, Leandro, Juan Marcelo Virdis, Emiliano Gutiérrez, and Diego Leandro Domínguez. "Pricing strategies and economic uncertainty." Revista de Métodos Cuantitativos para la Economía y la Empresa 38 (December 3, 2024): 1–16. https://doi.org/10.46661/rev.metodoscuant.econ.empresa.6407.

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In August 2019 an unexpected presidential election result caused achange in expected exchange and inflation rates. The objective of this study is toanalyze the relation between market share and the decision of increasing prices inthe pharmaceutical industry in Argentina.Methods: Online weekly data on variations of some medicine’s prices were obtainedusing web scraping, and then classification algorithms (Random Forests, GradientBoosting Machine and logistic regression) were applied.Results: The results were mixed: market share was found to have high importancein tree-based methods. (Random For
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Smolle, Josef, Armin Gerger, Wolfgang Weger, Heinz Kutzner, and Michael Tronnier. "Tissue Counter Analysis of Histologic Sections of Melanoma: Influence of Mask Size and Shape, Feature Selection, Statistical Methods and Tissue Preparation." Analytical Cellular Pathology 24, no. 2-3 (2002): 59–67. http://dx.doi.org/10.1155/2002/141295.

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Background: Tissue counter analysis is an image analysis tool designed for the detection of structures in complex images at the macroscopic or microscopic scale. As a basic principle, small square or circular measuring masks are randomly placed across the image and image analysis parameters are obtained for each mask. Based on learning sets, statistical classification procedures are generated which facilitate an automated classification of new data sets.Objective: To evaluate the influence of the size and shape of the measuring masks as well as the importance of feature selection, statistical
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Ghazaleh Behdadfar. "Analysis of Taxpayers with a Data Mining Approach." Power System Technology 48, no. 3 (2024): 102–25. https://doi.org/10.52783/pst.796.

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Analysis of taxpayers' behavior is important in maintaining tax justice and strengthening the foundations of the tax system. By better understanding the behavior of taxpayers, appropriate measures can be taken to prevent tax evasion. In this study, tax payers were analyzed with data mining approach. In this regard, X-Means and K-Means algorithms were used to cluster taxpayers through RapidMiner software and the information of 9994 taxpayers in several business categories. Based on the results, the number of optimal clusters was seven in the Kamiangin method, and the average number of optimal c
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Pemmaraju, Naveen, Andrew A. Lane, Kendra L. Sweet, et al. "Results of Pivotal Phase 2 Clinical Trial of Tagraxofusp (SL-401) in Patients with Blastic Plasmacytoid Dendritic Cell Neoplasm (BPDCN)." Blood 132, Supplement 1 (2018): 765. http://dx.doi.org/10.1182/blood-2018-99-118966.

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Abstract Background: Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a highly aggressive hematologic malignancy with a historical overall survival (OS) of ~8-14 months from diagnosis and no approved therapies or standard of care. Tagraxofusp (Elzonris™; SL-401) is a novel targeted therapy directed to the interleukin-3 receptor-α (CD123), a target expressed on BPDCN and other malignancies. Tagraxofusp was granted Breakthrough Therapy Designation for the treatment of patients with BPDCN, and a rolling Biologics License Application (BLA) submission to the U.S. Food and Drug Administration
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Adeoti, Olatunde Micheal, Abidemi Hawawu Bello, Olajumoke Elisabeth Adedokun, Kafilat Adenike Komolafe, David Ademola Adesina, and Opeyemi Joy Olaoye. "Distinctive Molecular typing of 16S rRNA of Bacillus species isolated from farm settlement." International Journal of Immunology and Microbiology 1, no. 1 (2021): 10–15. http://dx.doi.org/10.55124/ijim.v1i1.55.

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Introduction: There are numerous methods of isolating and detecting organisms that are similar and closely related; one of the most reliable method is molecular typing of 16S rRNA. Apart from being omnipresent as a multigene family, or operons; it is evolutionarily stable; the 16S rRNA gene (1,500 bp) is large enough for informatics purposes.
 Materials and Method: This study employed molecular sequencing of 16S rRNA by Sanger method to reveal the specific organisms’ nucleotides and blasting (BLASTn) to show the similarities between the resulting organisms and existing organisms. The 16S
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Hayati, Maryam, Leonid Chindelevitch, David Aanensen, and Caroline Colijn. "Deep clustering of bacterial tree images." Philosophical Transactions of the Royal Society B: Biological Sciences 377, no. 1861 (2022). http://dx.doi.org/10.1098/rstb.2021.0231.

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The field of genomic epidemiology is rapidly growing as many jurisdictions begin to deploy whole-genome sequencing (WGS) in their national or regional pathogen surveillance programmes. WGS data offer a rich view of the shared ancestry of a set of taxa, typically visualized with phylogenetic trees illustrating the clusters or subtypes present in a group of taxa, their relatedness and the extent of diversification within and between them. When methicillin-resistant Staphylococcus aureus (MRSA) arose and disseminated widely, phylogenetic trees of MRSA-containing types of S. aureus had a distincti
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Singh Ramesh, Arun, Alexander W. Cheesman, Habacuc Flores-Moreno, Noel D. Preece, Darren M. Crayn, and Lucas A. Cernusak. "Temperature, nutrient availability, and species traits interact to shape elevation responses of Australian tropical trees." Frontiers in Forests and Global Change 6 (January 19, 2023). http://dx.doi.org/10.3389/ffgc.2023.1089167.

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Elevation gradients provide natural laboratories for investigating tropical tree ecophysiology in the context of climate warming. Previously observed trends with increasing elevation include decreasing stem diameter growth rates (GR), increasing leaf mass per area (LMA), higher root-to-shoot ratios (R:S), increasing leaf δ13C, and decreasing leaf δ15N. These patterns could be driven by decreases in temperature, lower soil nutrient availability, changes in species composition, or a combination thereof. We investigated whether these patterns hold within the genus Flindersia (Rutaceae) along an e
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Lo, Chien-Chi, Migun Shakya, Ryan Connor, et al. "EDGE COVID-19: a web platform to generate submission-ready genomes from SARS-CoV-2 sequencing efforts." Bioinformatics, March 24, 2022. http://dx.doi.org/10.1093/bioinformatics/btac176.

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Abstract Summary Genomics has become an essential technology for surveilling emerging infectious disease outbreaks. A range of technologies and strategies for pathogen genome enrichment and sequencing are being used by laboratories worldwide, together with different and sometimes ad hoc, analytical procedures for generating genome sequences. A fully integrated analytical process for raw sequence to consensus genome determination, suited to outbreaks such as the ongoing COVID-19 pandemic, is critical to provide a solid genomic basis for epidemiological analyses and well-informed decision making
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Smagulova, Ainura, Rabiga Uakhit, and Vladimir Kiyan. "First Record of Alternaria alternata causing necrosis of Thuja (Thuja occidentalis) in Kazakhstan." Plant Disease, April 12, 2022. http://dx.doi.org/10.1094/pdis-11-21-2523-pdn.

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Thuja is one of the ornamental plants used for landscaping parks and health resorts. The plant is distinguished by a pyramidal and conical crown shape and the presence of many thin branches with scale-shaped needles, green all year round. In addition, this plant has a number of antimicrobial properties, which affects the popularity of the plant in landscaping the health resort territory (Bakht et al. 2020, Chindyaeva et al. 2020). In January 2020, symptomatic Thuja plants were observed in Southern Kazakhstan. Symptoms included distortion of the crown. External examination of the trees revelaed
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sprotocols. "Automated Lineage and Expression Profiling in Live Caenorhabditis elegans Embryos." December 30, 2014. https://doi.org/10.5281/zenodo.13633.

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Authors: John Isaac Murray and Zhirong Bao Adapted from [*Imaging in Developmental Biology*](http://www.cshlpress.com/link/imagingdevbiop.htm)(ed. Sharpe and Wong). CSHL Press, Cold Spring Harbor, NY, USA, 2011. ### Abstract Describing gene expression during animal development requires a way to quantitatively measure expression levels with cellular resolution and to describe how expression changes with time. Fluorescent protein reporters make it possible to measure expression dynamics in live cells by time-lapse microscopy, but it can be challenging to identify expressing cells in complex tiss
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Conference papers on the topic "Shade Tree Laboratories"

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Igo, John, and Charles E. Andraka. "Solar Dish Field System Model for Spacing Optimization." In ASME 2007 Energy Sustainability Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/es2007-36154.

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Dish Stirling power generation systems have been identified by DOE, Sandia National Laboratories, and Stirling Energy Systems (SES) as having the capability of delivering utility-scale renewable energy to the nation’s electrical grid. SES has proposed large plants, 20,000 units or more (0.5 GW rated power) in one place, in order to rapidly ramp up production automation. With the large capital investment needed in such a plant it becomes critical to optimize the system at the field level, as well as at the individual unit level. In this new software model, we provide a tool that predicts the an
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Zhang, Jun-Mei, Jacob McGregor, Abraham Grader, and Hadi Arabnejad. "Evaluation of Perforation Flow Performance by Combining 3D-CT Data with CFD Simulation." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222991-ms.

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Abstract The flow performance of perforations in stressed rock simulating reservoir downhole conditions is essential, not only for efficient hydrocarbon recovery, but also for predicting long-term well productivity. Although perforation flow laboratories have been used to shed light on the flow productivity of the perforation tunnels, flow laboratory testing is commonly constricted by the heterogeneous analog core and limited experimental data. Recent advancements in computational techniques have made computational fluid dynamics (CFD) simulation an efficient method to predict the detailed inf
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Abdelaal, Ahmed, Ahmed Ibrahim, and Salaheldin Elkatatny. "Rheological Properties Prediction of Flat Rheology Drilling Fluids." In 56th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2022. http://dx.doi.org/10.56952/arma-2022-0822.

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Abstract Flat rheology drilling fluids are synthetic-based fluids designed to provide better drilling performance with flat rheological properties for deep water and/or cold environments. The detailed mud properties are mainly measured in laboratories and are often measured twice a day in the field. This prevents real-time mud performance optimization and negatively affects the decisions. If the real-time estimation of mud properties, which affects decision-making in time, is absent, the ROP may slow down, and serious drilling problems and severe economic losses may take place. Consequently, i
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