Results 121 to 130 of about 2,009,667 (303)
Ridge Regression Learning Algorithm in Dual Variables
, 1998 In this paper we study a dual version of the Ridge Regression procedure. It allows us to perform non-linear regression by constructing a linear regression function in a high dimensional feature space.
C. Saunders +5 more
core
Screening and epitope characterization of Nidogen‐2‐specific nanobodies
FEBS Open Bio, EarlyView.Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen +9 more
wiley +1 more source
News technology utilization fossil fuel [PDF]
Acta Montanistica Slovaca, 2004 Fossil fuel alternative energy is coal, petroleum, natural gas. Petroleum and natural gas are scarce resources, but they are delimited. Reserves petroleum will be depleted after 39 years and reserves natural gas after 60 years.World reserves coal are
Blianová Monika, Sciranková Lucia
doaj
FEBS Open Bio, EarlyView.Matrix metalloproteinase‐9 (MMP9) drives ovarian cancer progression. Using MMP9‐null cells (M9‐KO) created from ovarian cancer cells, we found MMP9 loss did not block Epidermal Growth Factor (EGF)‐driven E‐cadherin dissolution or EMT but delayed and reduced EGF‐driven membrane protrusions. Transient MMP9 re‐expression drove membrane protrusion.
Claire Strauel +8 more
wiley +1 more source
FEBS Open Bio, EarlyView.Bisphenol A (BPA), a common chemical in plastics, exerts dual effects on bladder cancer cells: low doses promote growth and migration, while high doses suppress growth and migration. Multi‐omics and bioinformatics reveal BPA acts via MAPK and inflammatory pathways.
Shaomin Niu +10 more
wiley +1 more source
Structural Modelling with Sparse Kernels
, 2002 A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret.
Kandola, J.S., Gunn, S.R.
core
Comparing Group Means: T-tests and One-way ANOVA Using Stata, SAS, R, and SPSS [PDF]
, 2009 T-tests and analysis of variance (ANOVA) are widely used statistical methods to compare group means. For example, the independent sample t-test enables you to compare annual personal income between rural and urban areas and examine the difference in ...
Park, Hun Myoung
core
Frontiers in PsychiatryBackgroundSexual Interest in Children (SIC) is a major risk factor for sexual offending, yet clinical trials are sparse. The present protocol outlines a randomized controlled trial (RCT) that aims to investigate the effectiveness of fluoxetine and ...
Roberth Adebahr +15 more
doaj +1 more source