Results 31 to 40 of about 85,833 (253)
Heather D Anderson,1 Vanessa Paul Patterson,1 Garth Wright,1 Julia E Rawlings,1 Gina D Moore,1 Jim Leonard,2 Robert L Page II1 1Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Anschutz ...
Anderson HD +6 more
doaj
K-sharp: A segmented regression approach for image sharpening and normalization
In recent decades, Earth Observation (EO) satellite missions have improved in spatial resolution and revisit times. These missions, traditionally government-funded, utilize state-of-the-art technology and rigorous instrument calibration, with each ...
Bruno Aragon +4 more
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Segmented Regression Based on B-Splines with Solved Examples [PDF]
The subject of the paper is segmented linear, quadratic, and cubic regression based on B-spline basis functions. In this article we expose the formulas for the computation of B-splines of order one, two, and three that is needed to construct linear ...
Miloš Kaňka
doaj
A determinação do tamanho de parcela é uma prática pertinente ao planejamento experimental e sua caracterização otimizada, em conjunto com o controle do material experimental, permite a obtenção de resultados com maior precisão e qualidade.
Ana Patricia Bastos Peixoto +2 more
doaj +1 more source
Segmented regression is one of the statistical methods that are used to represent and model phenomena that go through several transitional stages. The basic concept of segmented regression depends on the presence of a certain point in the explanatory ...
Assistant teacher Muhammed Ahmed Abbas
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Time Series Analysis of Cutaneous Leishmaniasis in Sabzevar Northeastern Iran Using Segmented Regression Model [PDF]
Background and aims: Cutaneous leishmaniasis (CL) is one of the most important parasitic diseases in the world. Sabzevar city is endemic area for CL in the north east of Iran.
Hadis Barati +5 more
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Background: Public health interventions may affect a variety of health outcomes. This study developed an Interrupted Time Series model to test its efficacy in evaluating public health interventions.
Kevin Otieno Ouma +2 more
doaj
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Regression augmentation with data-driven segmentation
Imbalanced regression arises when the target distribution is skewed, causing models to focus on dense regions and struggle with underrepresented (minority) samples. Despite its relevance across many applications, few methods have been designed specifically for this challenge.
Shayan Alahyari +2 more
openaire +3 more sources
Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source

