Results 131 to 140 of about 6,924,037 (250)

Correcting systematic errors by hybrid 2D correlation loss functions in nonlinear inverse modelling. [PDF]

PLoS One, 2023
Mayerhöfer TG, Noda I, Pahlow S, Heintzmann R, Popp J.   +4 more
europepmc   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source

Evaluating German Business Cycle Forecasts Under an Asymmetric Loss Function [PDF]

Based on annual data for growth and inflation forecasts for Germany covering the time span from 1970 to 2007 and up to 17 different forecasts per year, we test for a possible asymmetry of the forecasters' loss function and estimate the degree of ...
Ulrich Fritsche, Joerg Doepke, Boriss Siliverstovs   +2 more
core  

Tuning gradient boosting for imbalanced bioassay modelling with custom loss functions. [PDF]

J Cheminform, 2022
Boldini D, Friedrich L, Kuhn D, Sieber SA.   +3 more
europepmc   +1 more source

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

Molecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola, Yasmine Illi, Anna Bircher, Marijn Wilmink, Rachele F. Malagutti, Solenn Ottié, Cordelia Schuler, Pedro A. Ruiz, Cheryl de Vallière, Klaus Seuwen, Gerhard Rogler, Martin Hausmann   +11 more
wiley   +1 more source

Sample surveys for disease/loss estimation

, 1977
In the Workshop we have discussed to some depth disease epidemiology and crop loss assessment, and touched on the methods for relating disease data to yield loss.
Teng, P. S.
core  

Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions. [PDF]

Med Image Anal, 2023
Chen G, Hong Y, Huynh KM, Yap PT.
europepmc   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

On the Use of Density Forecasts to Identify Asymmetry in Forecasters' Loss Functions [PDF]

: We consider how to use information from reported density forecasts from surveys to identify asymmetry in forecasters' loss functions. We show that, for the three common loss functions - Lin-Lin, Linex, and Quad-Quad - we can infer the direction of loss
Fushang Liu, Kajal Lahiri
core  

DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function. [PDF]

Bioinformatics, 2023
Lee JW, Won JH, Jeon S, Choo Y, Yeon Y, Oh JS, Kim M, Kim S, Joung I, Jang C, Lee SJ, Kim TH, Jin KH, Song G, Kim ES, Yoo J, Paek E, Noh YK, Joo K.   +18 more
europepmc   +1 more source