Results 111 to 120 of about 2,886,524 (338)

Development of a first order integrated moving average model corrupted with a Markov modulated convex combination of autoregressive moving average errors

Statistical Theory and Related Fields, 2019
With a view to providing a tool to accurately model time series processes which may be corrupted with errors such as measurement, round-off and data aggregation, this study developed an integrated moving average (IMA) model with a transition matrix for ...
S. A. Komolafe, T. O. Obilade, I. O. Ayodeji, A. R. Babalola   +3 more
doaj   +1 more source

Pathogenic Neurofibromatosis type 1 gene variants in tumors of non‐NF1 patients and role of R1276

FEBS Open Bio, EarlyView.
Somatic variants of the neurofibromatosis type 1 (NF1) gene occur across neoplasms without clinical manifestation of the disease NF1. We identified emerging somatic pathogenic NF1 variants and hotspots, for example, at the arginine finger 1276. Those missense variants provide fundamental information about neurofibromin's role in cancer.
Mareike Selig, Swanhild Lohse, Sara Elahi, Nils Hartmann, Stefanie Deckert, Shutian Si, Alexander Desuki, Anja Harder   +7 more
wiley   +1 more source

A Moving Average Filter based DSTATCOM Control Approach

Electrical Engineering and Energy
Self-excited induction generators (SEIGs) are commonly preferred in stand-alone renewable energy systems due to their low cost and robust construction. However, the voltage and frequency stability at the SEIG output may be adversely affected by varying ...
Ali Sait Ozer, Fehmi Sevilmiş, Hulusi Karaca   +2 more
doaj   +1 more source

Periodic moving average process [PDF]

, 1985
Tomáš Cipra
openalex   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Forecasting of Indian tourism industry using modeling approach

MethodsX
Currently, India has become one of the largest economies of the world in which tourism and hospitality have significantly contributed; however, the growth rate of tourism industry has been greatly affected during the COVID-19 pandemic.
Renuka Devi, Alok Agrawal, Joydip Dhar, A.K. Misra   +3 more
doaj   +1 more source

Implementasi Moving Average dan Kalman Filter pada Wireless Odometer untuk Informasi Service Kendaraan Bermotor

, 2022
Fajar Alif Chalifatullah, Wahyu Setyo Pambudi, Ilmiatul Masfufiah   +2 more
openalex   +2 more sources

Constructing a quasilinear moving average using the scaling function [PDF]

The scaling function from multiresolution analysis can be used to constuct a smoothing tool in the context of time series analysis. We give a time series smoothing function for which we show the properties of a quasilinear moving average. Furthermore; we
Schlüter, Stephan
core  

FGFR Like1 drives esophageal cancer progression via EMT, PI3K/Akt, and notch signalling: insights from clinical data and next‐generation sequencing analysis

FEBS Open Bio, EarlyView.
Clinical analysis reveals significant dysregulation of FGFRL1 in esophageal cancer (EC) patients. RNAi‐coupled next‐generation sequencing (NGS) and in vitro study reveal FGFRL1‐mediated EC progression via EMT, PI3K/Akt, and Notch pathways. Functional assays confirm its role in tumor growth, migration, and invasion.
Aprajita Srivastava, Anoop Saraya, Deepak Gunjan, Rinu Sharma   +3 more
wiley   +1 more source

Nonparametric estimation of the kernel function of symmetric stable\n moving average random functions [PDF]

, 2017
Jürgen Kampf, Georgiy Shevchenko, Evgeny Spodarev   +2 more
openalex   +2 more sources