Results 91 to 100 of about 10,283,828 (367)

Elementary Landscape Decomposition of the Test Suite Minimization Problem [PDF]

, 2015
Chicano, F., Ferrer J., & Alba E. (2011). Elementary Landscape Decomposition of the Test Suite Minimization Problem. In Proceedings of Search Based Software Engineering, Szeged, Hungary, September 10-12, 2011. pp.
Alba-Torres, Enrique, Chicano, Francisco, Ferrer, Javier   +2 more
core  

Fundamentals of cone regression

, 2016
Cone regression is a particular case of quadratic programming that minimizes a weighted sum of squared residuals under a set of linear inequality constraints.
Dimiccoli, Mariella
core   +1 more source

Fisher and Regression

Statistical Science, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +5 more sources

A unified model for Duchenne muscular dystrophy gene involvement in cancer: context‐dependent tumour suppression and oncogenicity

FEBS Open Bio, EarlyView.
We propose a context‐dependent model where the Duchenne muscular dystrophy (DMD) gene acts as a tumour suppressor in aggressive tumours and as an oncogene in less aggressive ones. We propose this model as a unified framework to explain the opposing survival associations with DMD expression and to guide experimental exploration of the dual role of DMD ...
Lee Machado, Leanne Jones, Sonika Divakar, Michael Naidoo, Karen Anthony   +4 more
wiley   +1 more source

Identification of amino acids essential for angulin‐1/3 binding of the tricellular tight junction binder, angubindin‐1

FEBS Open Bio, EarlyView.
Angubindin‐1 binds angulin‐1/‐3 at tricellular tight junctions, enhancing intestinal macromolecule permeation. Alanine scanning identified six essential residues (L562, L598, E638, V640, Y643, and K644) of angubindin‐1 critical for binding to angulin‐1/‐3 and permeation‐enhancing activity, providing insights for the development of targeted noninvasive ...
Taiki Kuzu, Yumi Iwashita, Keisuke Tachibana, Itsuki Nishino, Yuki Niwa, Atsuko Uyeda, Kazuki Matsuo, Masahiro Nagahama, Masuo Kondoh   +8 more
wiley   +1 more source

Analysis of classic assumption test and multiple linear regression coefficient test for employee structural office recommendation

, 2021
Debby Alita, Ade Dwi Putra, Dedi Darwis
openalex   +2 more sources

Kernel matrix regression

, 2007
We address the problem of filling missing entries in a kernel Gram matrix, given a related full Gram matrix. We attack this problem from the viewpoint of regression, assuming that the two kernel matrices can be considered as explanatory variables and ...
Vert, Jean-Philippe, Yamanishi, Yoshihiro   +1 more
core   +1 more source

Lactoferrin treatment activates acetylcholinesterase, decreasing acetylcholine levels in non‐small cell lung cancer (NSCLC) cell culture supernatants, inhibiting cell survival

FEBS Open Bio, EarlyView.
Representation of the suggested mode of action of lactoferrin (Lf) in nonsmall cell lung cancer (NSCLC) A549 cells. Lf induces activation of caspase‐3 by activating p53 and AChE leading to decreased ACh concentrations. In turn, ACh signaling leads to activation of VEGF and AKT and blocking of caspase‐3.
Stuti Goel, Caroline Wozniak, Aya Sabri, Ben Haddad, Brooke Lopo, Alvaro Cobos, Sarah Sarofim, Jeffrey Guthrie, Deborah Heyl, Hedeel Guy Evans   +9 more
wiley   +1 more source

Indoleamine 2,3‐dioxygenase 1 inhibition reverses cancer‐associated fibroblast‐mediated immunosuppression in high‐grade serous ovarian cancer

FEBS Open Bio, EarlyView.
CAF‐mediated immunosuppression in ovarian cancer is driven by IDO1, reducing T‐cell function. Inhibiting IDO1 restores T‐cell proliferation and cytotoxicity, increases cancer cell apoptosis, and may help overcome CAF‐induced immune suppression in high‐grade serous ovarian cancer. Targeting IDO1 may improve antitumor immunity.
Hyewon Lee, Jung Yoon Ho, In Sun Hwang, Youn Jin Choi   +3 more
wiley   +1 more source

Modeling and Prediction of Occupancy in Buildings Based on Sensor Data Using Deep Learning Methods

IEEE Access
Accurate modelling and prediction of indoor occupancy can lead to efficient optimization and control of building energy consumption. This research uses indirect ambient sensor measurements and heterogeneous data types, together with state of the art ...
Georgiana Cretu, Iulia Stamatescu, Grigore Stamatescu   +2 more
doaj   +1 more source