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Research ArticleOpen accessEvery word in the titleSeasonal Population Dynamics of the Asian Citrus Psyllid, Diaphorina citri Kuwayama in SarawakStephen Leong Chan Teck, Abang Fatimah, Andrew Beattie et al.Problem statement: Effective control of phytophagous pests requires a thorough understanding of their seasonal population dynamics, dispersion behavior, natural enemy activity and climate. To date, although very little detail information had been published on the ecology of Diaphorina citri. The objective of this investigation was to test through field experiment the hypothesis that the major factors influencing local D. citri … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 4 · 27 Dec 2011 · 9,551 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffect of Seasonal Temperature on the Genotypic Variability of Flowering Duration in Pearl Millet (Pennisetum glaucum) in NigerSani Daouda Ousmane, Mouhamadou Mounkaila Boureima, Maman Nassourou Lawali et al.Heat stress is a major contributor to crop losses worldwide. Millet [Pennisetum glaucum (L.) R. Br.] is a staple crop for inhabitants of arid and semi-arid regions of the world, due to its extraordinary adaptation to drought and high temperatures. Climate change points to an overall increase in temperature, the effect of which on crop growth and productivity remains to … …American Journal of Agricultural and Biological Sciences, Vol. 17, Issue 1 · 30 Nov 2022 · 6,125 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStock Return, Growth and Inflation in India: Analysis of Stochastic Seasonality, Impulse Response and Multivariate GARCHPanchanan DasThis study analyses the empirical interdependence among asset returns, industrial growth and inflation after controlling for interest rate by considering stochastic seasonality and conditional volatility with monthly time series in India. The HEGY unit root test suggests that industrial growth and inflation experience only stochastic trend and no persistent stochastic behaviour at any other seasonal frequencies, while stock return follows … …American Journal of Applied Sciences, Vol. 18, Issue 1 · 3 May 2021 · 7,344 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOccurrence and Seasonal Variation of Antibiotics in Fez-Morocco Surface WaterOualid Chaib, Btissam Arhoune, Sanae Achour et al.The presence and accumulation of antibiotics in the water environment has become emerging contaminants of concern causing disruption of ecosystems worldwide. We describehere the seasonal variation and the occurrence of antibiotic residues in Fez city surface water (Morocco). During one year between February 2014 and January 2015, 8 surface water samples were collected monthly. Quantification of the 7 antibiotics was … …American Journal of Environmental Sciences, Vol. 15, Issue 4 · 27 Aug 2019 · 9,182 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Effects of Seasonal Variations on Typha capensis and Heliconia psittacorum in the Remediation of Heavy Metals from Soil and WaterWiafe Samuel, Buamah Richard, Owusu MichaelDifferent plant species have been used in the remediation of different heavy metals. The performance of a macrophyte to remediate heavy metals may be dependent on a lot of factors which may include water chemistry, metal solubilityand temperature. The objective of this research was to ascertain the effects of seasonal variations on the remediation of heavy metals. To this end,two … …American Journal of Applied Sciences, Vol. 15, Issue 12 · 31 Jan 2019 · 7,787 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDetermination of Breeding Seasonality in Rusa Deer (Rusa timorensis) Stags via Serum Testosterone ProfilingWan Nor Fitri Wan Jaafar, Abd Wahid Haron, Rosnina Hj Yusoff et al.Breeding seasonality in mammals is influenced by the environmental changes and the endocrine response of the animals to that changes. Comprehension in breeding seasonality enables better reproductive management consequently maximizing the reproductive potential of the stags. Despite that, the study in breeding seasonality in Rusa deer (Rusa timorensis) is still scarce. Five healthy and matured stags were selected for this … …American Journal of Animal and Veterinary Sciences, Vol. 12, Issue 1 · 19 Mar 2017 · 8,608 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBayesian Models for Time Series with Covariates, Trend, Seasonality, Autoregression and OutliersPitsanu Tongkhow, Nantachai KantananthaBayesian methods furnish an attractive approach to time series data analysis. This article proposes the forecasting models that can detect trend, seasonality, auto regression and outliers in time series data related to some covariates. Cumulative Weibull distribution functions for trend, dummy variables for seasonality, binary selections for outliers and latent autoregression for autocorrelated time series data are used for the … …Journal of Computer Science, Vol. 9, Issue 3 · 16 Apr 2013 · 6,653 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Study of Seasonal Physicochemical Parameters in River UsmaA. I. Ugwu, R. J. WakawaGrowing populations may put stresses on natural waters by impairing both the quality of the water and the hydrological budget. Abuja, being relatively a new city and the new Federal Capital Territory of Nigeria, has scarce physicochemical data on its water resources that could assist in making robust decision in mitigating the impact of human societies on natural waters; which … …American Journal of Environmental Sciences, Vol. 8, Issue 5 · 20 Sep 2012 · 9,272 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Approach based on Winter's Model and Weighted Fuzzy Time Series for Forecasting Trend and Seasonal DataSuhartono, Muhammad Hisyam LeeProblem statement: In the literature, the most studied of fuzzy time series for the purpose of forecasting is the first order fuzzy time series model. In this model, only the first lagged variable is used when constructing the first order fuzzy time series model. Therefore, such approaches fail to analyze accurately trend and seasonal time series which is an important … …Journal of Mathematics and Statistics, Vol. 7, Issue 3 · 18 Jul 2011 · 7,942 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSeasonal Time Series Data Forecasting by Using Neural Networks Multiscale Autoregressive ModelSuhartono, B. S.S. Ulama, A. J. EndhartaProblem statement: The aim of this research was to study further some latest progress of wavelet transform for time series forecasting, particularly about Neural Networks Multiscale Autoregressive (NN-MAR). Approach: There were three main issues that be considered further in this research. The first was some properties of scale and wavelet coefficients from Maximal Overlap Discrete Wavelet Transform (MODWT) decomposition, particularly … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,751 accessesView PDFCite