Results 171 to 180 of about 1,369,551 (340)
Forecasting Performance of Logistic STAR Exchange Rate Model: The Original and Reparameterised Versions [PDF]
, 2002 Venus Khim‐Sen Liew +2 more
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Forecasting global spread of invasive pests and pathogens through international trade [PDF]
, 2023 Kellyn Montgomery +9 more
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Multiple ETS family transcription factors bind mutant p53 via distinct interaction regions
FEBS Letters, EarlyView.Mutant p53 gain‐of‐function is thought to be mediated by interaction with other transcription factors. We identify multiple ETS transcription factors that can bind mutant p53 and found that this interaction can be promoted by a PXXPP motif. ETS proteins that strongly bound mutant p53 were upregulated in ovarian cancer compared to ETS proteins that ...
Stephanie A. Metcalf +6 more
wiley +1 more source
A New Hybrid Ensemble Deep Learning Model for Train Axle Temperature Short Term Forecasting [PDF]
, 2021 Guangxi Yan, Chengqing Yu, Yu Bai
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The newfound relationship between extrachromosomal DNAs and excised signal circles
FEBS Letters, EarlyView.Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley +1 more source
A Hybrid Residential Short-Term Load Forecasting Method Using Attention Mechanism and Deep Learning [PDF]
, 2022 Xinhui Ji +6 more
openalex +1 more source
FEBS Letters, EarlyView.This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva +5 more
wiley +1 more source
Combining disaggregate forecasts or combining disaggregate information to forecast an aggregate [PDF]
To forecast an aggregate, we propose adding disaggregate variables, instead of combining forecasts of those disaggregates or forecasting by a univariate aggregate model. New analytical results show the effects of changing coefficients, mis-specification,
Hendry, David F., Hubrich, Kirstin
core
BAYESIAN FORECAST COMBINATION IN VAR-DSGE MODELS
, 2017 Cong Duc Tran, Xue Li
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