Results 101 to 110 of about 3,142,824 (343)

Simultaneous inhibition of TRIM24 and TRIM28 sensitises prostate cancer cells to antiandrogen therapy, decreasing VEGF signalling and angiogenesis

open access: yesMolecular Oncology, EarlyView.
TRIM24 and TRIM28 are androgen receptor (AR) coregulators which exhibit increased expression with cancer progression. Both TRIM24 and TRIM28 combine to influence the response of castrate‐resistant prostate cancer (CRPC) cells to AR inhibitors by mediating AR signalling, regulation of MYC and upregulating VEGF to promote angiogenesis. Castrate‐resistant
Damien A. Leach   +8 more
wiley   +1 more source

Forecasting Short-Term Wind Speed Based on IEWT-LSSVM Model Optimized by Bird Swarm Algorithm

open access: yesIEEE Access, 2019
Accurate wind speed prediction can improve the utilization efficiency of wind energy effectively. However, the original time series signals of wind speed present nonlinear or non-stationary characteristics, which make wind speed forecasting very ...
Ling Xiang, Zeqi Deng, Aijun Hu
doaj   +1 more source

Evaluation and modification of tumor cell isolation techniques from malignant effusions for rapid drug sensitivity testing

open access: yesMolecular Oncology, EarlyView.
Non‐small cell lung cancer targeted treatment is limited to a few known genetic alterations, with few alternatives in advanced treatment lines. To direct treatment decisions by drug sensitivity testing (DST), this study compared several methods for tumor cell isolation from malignant effusions, pointing to repeated CD45+ cell depletion for effective ...
Navit Mooshayef   +10 more
wiley   +1 more source

A statistical exploration of interval-deficient wind speed data for application to wind power assessments

open access: yesJournal of Energy in Southern Africa, 2019
Gathering quality wind speed data can be time-consuming and expensive. The present study established whether interval-deficient wind speed data could be rendered useful for wind power assessments.
F. Lubbe, T. Harms, J. Maritz
doaj   +1 more source

Wind Speed Prediction Using a Univariate ARIMA Model and a Multivariate NARX Model

open access: yes, 2016
Two on step ahead wind speed forecasting models were compared. A univariate model was developed using a linear autoregressive integrated moving average (ARIMA). This method’s performance is well studied for a large number of prediction problems.
E. Cadenas   +3 more
semanticscholar   +1 more source

Cytomegalovirus infection is common in prostate cancer and antiviral therapies inhibit progression in disease models

open access: yesMolecular Oncology, EarlyView.
Human cytomegalovirus infection is common in normal prostate epithelium, prostate tumor tissue, and prostate cancer cell lines. CMV promotes cell survival, proliferation, and androgen receptor signaling. Anti‐CMV pharmaceutical compounds in clinical use inhibited cell expansion in prostate cancer models in vitro and in vivo, motivating investigation ...
Johanna Classon   +13 more
wiley   +1 more source

Wind speed prediction using a hybrid model of EEMD and LSTM considering seasonal features

open access: yesEnergy Reports, 2022
As a clean and renewable energy source, wind power is of great significance for addressing global energy shortages and environmental pollution. However, the uncertainty of wind speed hinders the direct use of wind power, resulting in a high proportion of
Yi Yan   +4 more
doaj  

Uncertainty in recent near-surface wind speed trends: a global reanalysis intercomparison

open access: yes, 2017
Reanalysis products have become a tool for wind energy users requiring information about the wind speed long-term variability. These users are sensitive to many aspects of the observational references they employ to estimate the wind resource, such as ...
V. Torralba   +2 more
semanticscholar   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

Wind Mapping of Malaysia Using Ward’s Clustering Method

open access: yesEnergies
Malaysian wind maps used in wind analysis and engineering design are dated back to the last 50 years of wind data. Cotemporally, the mean wind speed was used as the basic wind design and due to changes in the weather condition worldwide, wind monitoring ...
Amar Azhar, Huzaifa Hashim
doaj   +1 more source

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