Results 101 to 110 of about 19,841,559 (252)

Forecasting time series with complex seasonal patterns using exponential smoothing [PDF]

open access: yes
A new innovations state space modeling framework, incorporating Box-Cox transformations, Fourier series with time varying coefficients and ARMA error correction, is introduced for forecasting complex seasonal time series that cannot be handled using ...
Alysha M De Livera, Rob J Hyndman
core  

Rainfall prediction in the northeast region of Thailand using Cooperative Neuro-Fuzzy Technique [PDF]

open access: yes, 2012
Accurate rainfall forecasting is a crucial task for reservoir operation and flood prevention because it can provide an extension of lead-time for flow forecasting. This study proposes two rainfall time series prediction models, the Single Fuzzy Inference
Wong, K.W., Fung, C.C., Kajornrit, J.
core  

Malformin A1–mediated cytotoxicity in ovarian cancer cells occurs through pyroptosis and autophagy

open access: yesFEBS Open Bio, EarlyView.
This study investigated the effects of the natural compound Malformin A1 (MA1) on the cytoskeleton that regulates cell proliferation and migration. Disruption of the cytoskeleton can impair these processes and promote cancer cell death. MA1 disrupted cytoskeletal organization, induced DNA damage, inflammation, activated autophagy, and pyroptosis ...
Nada Abdullah Hassan   +11 more
wiley   +1 more source

Time Series Prediction Methods for Depth-Averaged Current Velocities of Underwater Gliders

open access: yes, 2017
In this paper, we propose time series prediction methods for depth-averaged current velocities (DACVs) of underwater gliders. Based on historical DACV data, these methods can predict the DACVs of future profiles with good performance.
Wang XH(王晓辉)   +2 more
core  

Time Series Prediction Based on Multi-Scale Feature Extraction

open access: yesMathematics
Time series data are prevalent in the real world, particularly playing a crucial role in key domains such as meteorology, electricity, and finance. Comprising observations at historical time points, these data, when subjected to in-depth analysis and ...
Ruixue Zhang, Yongtao Hao
doaj   +1 more source

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

open access: yesFEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

Identification of (20R)‐protopanaxadiol from Panax ginseng as a novel anti‐SARS‐CoV‐2 compound

open access: yesFEBS Open Bio, EarlyView.
We established a noninfectious BAC‐based SARS‐CoV‐2 replicon that enables antiviral screening under BSL‐2 conditions. Using this platform, we screened 373 food‐derived compounds and identified (20R)‐protopanaxadiol from Panax ginseng as a novel inhibitor of SARS‐CoV‐2 RNA replication, highlighting the value of safe replicon systems for antiviral ...
Midori Takeda   +4 more
wiley   +1 more source

Nemenyi test results for prediction error of time series prediction.

open access: yes, 2017
Nemenyi test results for prediction error of time series prediction.
Salwani Abdullah (763836)   +2 more
core   +1 more source

Evolution‐guided yeast complementation reveals functional differences in human PSPH variants

open access: yesFEBS Open Bio, EarlyView.
Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez   +6 more
wiley   +1 more source

Forecasting Time-Series with Correlated Seasonality [PDF]

open access: yes
A new approach is proposed for forecasting a time series with multiple seasonal patterns. A state space model is developed for the series using the single source of error approach which enables us to develop explicit models for both additive and ...
Anne B. Koehler   +5 more
core  

Home - About - Disclaimer - Privacy