Results 81 to 90 of about 105,549 (303)

Prediksi Harga Beras Sultan Dan Membramo Di Kota Manado Dengan Menggunakan Model ARIMA [PDF]

open access: yes, 2013
Pada makalah ini diuraikan model ARIMA dari harga beras di kota Manado yang meliputi beras Sultan dan beras Membramo. Data yang diamati adalah data bulanan dari Januari 2007 sampai dengan Maret 2012.
Nainggolan, N. (Nelson)   +2 more
core   +2 more sources

Resveratrol attenuates areca nut extract‐induced chronic colitis by suppressing pyroptosis of intestinal epithelial cells via modulating cGAS/STING signaling

open access: yesVIEW, EarlyView.
Areca nut extract (ANE), commonly consumed in some cultures, can damage gut cells by triggering inflammation and cell death through a pathway called cGAS‐STING. This leads to the release of harmful inflammatory substances and weakens the gut barrier. Our study shows that resveratrol, a natural compound found in foods like grapes, can block this harmful
Jing Zhang   +4 more
wiley   +1 more source

Forecasting Inflation in Developing Nations: The Case of Pakistan [PDF]

open access: yes
This study attempts to outline the practical steps which need to be undertaken to use autoregressive integrated moving average (ARIMA) time series models for forecasting Pakistan’s inflation. A framework for ARIMA forecasting is drawn up. On the basis of
Feridun, Mete
core   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu   +4 more
wiley   +1 more source

PENERAPAN MODEL HYBRID ARIMA BACKPROPAGATION UNTUK PERAMALAN HARGA GABAH INDONESIA

open access: yesMedia Statistika, 2014
Hybrid model discussed in this paper combining ARIMA and backpropagation is applied to grain price forecasting in Indonesia for period January 2008 until April 2013. The grain price time series consists of linear and nonlinear patterns.
Sufia Nur Janah   +2 more
doaj   +1 more source

Comparison of ARIMA model, ARIMA-BPNN model and ARIMA-ERNN model in predicting incidence of dengue in China

open access: yes
Abstract Background Dengue remains an enduring public health concern across tropical and subtropical regions of China, with a disproportionate burden observed in economically disadvantaged areas. Dengue outbreaks can overwhelm healthcare systems and impede economic development. The development of timely and accurate predictive models for dengue
Jingyi Guo   +5 more
openaire   +1 more source

Modelling the Currency in Circulation for the State of Qatar. [PDF]

open access: yes
The main concern of this report is to model the daily and weekly forecasting of the currency in circulation (CIC) for the State of Qatar. The time series of daily observations of the CIC is expected to display marked seasonal and cyclical patterns daily,
Balli, Faruk, Elsamadisy, Elsayed
core   +1 more source

Volatility Modelling Using Hybrid Autoregressive Conditional Heteroskedasticity (ARCH) - Support Vector Regression (SVR) [PDF]

open access: yes, 2015
High fluctuations in stock returns is one problem that is considered by the investors. Therefore we need a model that is able to predict accurately the volatility of stock returns.
Hoyyi, Abdul, Tarno, Tarno, Yasin, Hasbi
core  

A q-Analogue of the embedding chain $U(6) \supset G \supset SO(3)$

open access: yes, 2001
A q-analogue of the embedding chains of the Arima-Iachello model is proposed. The generators of the deformed U(6)-subalgebras are written in terms of the generators of gl_{q}(6), using q-bosons.Comment: 14 pages, no ...
Sciarrino, A.
core   +2 more sources

Effect of Targeted Aspirin Administration Based on First Trimester Combined Screening for Preeclampsia on Preterm Birth: An Interrupted Time Series Analysis

open access: yesBJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.
ABSTRACT Objectives To assess the effect of an aspirin intervention program on preterm birth (PTB) rates in women identified as high‐risk for preterm preeclampsia in the first‐trimester screening. Design This is a retrospective study evaluating the impact of the intervention program on preterm birth using interrupted time series analysis (ITSA) with an
Monica Minopoli   +5 more
wiley   +1 more source

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