Results 91 to 100 of about 1,103,672 (242)
Moving averages in time series
, 2018 This thesis focuses on time series analysis usikng methods based on moving averages, especially the method based on the approximation of the trend compo- nent of a time series by polynomial functions.
Uhliarik, Andrej
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Molecular Oncology, EarlyView.This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source
THE PLUVIOMETRIC AND THERMAL REGIME WITHIN THE OLTENIA PLAIN [PDF]
Analele Universității din Craiova. Seria Geografie, 2007 The Oltenia Plain represents the western extremity of the Romanian Plain. The analysis of the temperature and precipitation data (1984-2006) proved certain features of the climate in the region, which differentiate this sector of the Romanian Plain from ...
Alina VLĂDUŢ
doaj
Jurnal Kesehatan, 2019 The fact that malnutrition occurs during the golden age is irreversible, so more attention is needed in the growth and development of toddler age. This research is aim to find out the improvements of mothers’ knowledge concerning balanced nutrition for ...
Christin Angelina Febriani +2 more
doaj +1 more source
Convergence of Moving Averages of
, 2008 . It is shown that moving averages sequences are good in the mean for multiparameter strongly superadditive processes in L1, and good in the pmean for multiparameter admissible superadditive processes in Lp, 1≤p<∞.
Multiparameter Superadditive Processes
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Molecular Oncology, EarlyView.Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez +5 more
wiley +1 more source
Endpoints Issue in Time Series Adjusting
Статистика України, 2015 Time series analysis aims to reduce the effects of random variations in order to extract meaningful statistics from the data. There are many methods for time series decomposition, to be chosen by a statistician according to his/her experience .
O. Vasyechko, M. Grun-Rehomme
doaj
Molecular Oncology, EarlyView.This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault +12 more
wiley +1 more source
Leveraging transfer learning with deep learning for crime prediction.
PLoS ONECrime remains a crucial concern regarding ensuring a safe and secure environment for the public. Numerous efforts have been made to predict crime, emphasizing the importance of employing deep learning approaches for precise predictions.
Umair Muneer Butt +3 more
doaj +1 more source
ANALYZING THE DOUBLE CROSSOVER MOVING AVERAGES STRATEGY BEFORE, DURING AND AFTER THE LOCKDOWN PERIOD
The International Journal of Banking and FinanceTrading is a business, not an investment. Traders focus on minor to secondary trends, while investors focus on the primary trend. The trading timeframe is crucial in technical analysis. As such a trader who trades with a minor trend timeframe, must have
Farha Ghapar
doaj +1 more source