Results 81 to 90 of about 2,896,726 (337)
Scientific ReportsThis research paper delves into the realm of quantum machine learning (QML) by conducting a comprehensive study on time-series data. The primary objective is to compare the results and time complexity of classical machine learning algorithms on ...
Trilok Nath Pandey +3 more
doaj +1 more source
Moving-Average Transformations in Classical Linear Models [PDF]
Economists are frequently compelled to use data which take inappropriate forms. One particular deficiency is discussed in the paper below; namely, the prior adjustment of economic time-series by moving average transformations.
D.A. Wilton, J.C.R. Rowley
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Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
Emerging role of ARHGAP29 in melanoma cell phenotype switching
Molecular Oncology, EarlyView.This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster +3 more
wiley +1 more source
Prognostics with autoregressive moving average for railway turnouts [PDF]
, 2010 Turnout systems are one of the most critical systems on railway infrastructure. Diagnostics and prognostics on turnout system have ability to increase the reliability & availability and reduce the downtime of the railway infrastructure.
Camci, Faith +4 more
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Backpropagation Neural Network and Exponential Moving Average Methods for Predicting Currency Exchange Prices on Foreign Exchange [PDF]
, 2023 Qoharul Jabbar +2 more
openalex +1 more source
Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids
Molecular Oncology, EarlyView.This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici +8 more
wiley +1 more source
Acta Universitatis Lodziensis. Folia Oeconomica, 2014 Technical analysis rely on assumption that analysis of past market performance provides possibility for proper stock price forecasting, in particular by identification of buy and sell signals.
Dariusz Letkowski
doaj
A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression
Molecular Oncology, EarlyView.Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak +8 more
wiley +1 more source
A Multivariate Homogeneously Weighted Moving Average Control Chart
IEEE Access, 2019 This paper presents a multivariate homogeneously weighted moving average (MHWMA) control chart for monitoring a process mean vector. The MHWMA control chart statistic gives a specific weight to the current observation, and the remaining weight is evenly ...
Nurudeen A. Adegoke +4 more
doaj +1 more source