Results 81 to 90 of about 1,434,136 (298)
A load prediction method using memory neural network and curve shape correction
Aiming at the problems that multiplex influencing factors and strong uncertainty in distribution network load caused by the capacity accumulation of distributed generation and new loads, a load prediction method using memory neural network and curve ...
ZHANG Jiaan +3 more
doaj +1 more source
Has M2 demand become unstable? [PDF]
Standard M2 demand regressions generate prediction errors in 1990, 1991, and 1992 that cumulate to an overprediction of M2 of about 4.2 to 4.3 percent by the second quarter of 1992.
Yash P. Mehra
core
Functional Lagged Regression with Sparse Noisy Observations
A functional (lagged) time series regression model involves the regression of scalar response time series on a time series of regressors that consists of a sequence of random functions.
Panaretos, Victor M., Rubín, Tomáš
core +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
Cytoplasmic p21 promotes stemness of colon cancer cells via activation of the NFκB pathway
Cytoplasmic p21 promotes colorectal cancer stem cell (CSC) features by destabilizing the NFκB–IκB complex, activating NFκB signaling, and upregulating BCL‐xL and COX2. In contrast to nuclear p21, cytoplasmic p21 enhances spheroid formation and stemness transcription factor CD133.
Arnatchai Maiuthed +10 more
wiley +1 more source
Objectives: To develop and validate a critical risk prediction model for hemorrhagic fever with renal syndrome caused by Hantaan virus. Methods: Patients were randomly divided into a training group (n = 344) and a validation group (n = 226).
Shijia Wang +14 more
doaj +1 more source
The performance and prediction ability of advanced approach to ductile fracture [PDF]
The present paper deals with the modelling of ductile fracture which is the result of severe plastic deformation under monotonic loading. It can be the result of a crash or accident or introduced intentionally. There is a need of increasing the safety in
Kubik, Petr +2 more
core
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto +8 more
wiley +1 more source
Caveats for information bottleneck in deterministic scenarios
Information bottleneck (IB) is a method for extracting information from one random variable $X$ that is relevant for predicting another random variable $Y$. To do so, IB identifies an intermediate "bottleneck" variable $T$ that has low mutual information
Kolchinsky, Artemy +2 more
core

