M. Mohan^1,*, P. C. Kishore Raja², P. Velmurugan³, A. Kulothungan⁴

Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 1151-1163, 2023, DOI:10.32604/iasc.2023.026255 - 06 June 2022

Abstract Prediction of stock market value is highly risky because it is based on the concept of Time Series forecasting system that can be used for investments in a safe environment with minimized chances of loss. The proposed model uses a real time dataset of fifteen Stocks as input into the system and based on the data, predicts or forecast future stock prices of different companies belonging to different sectors. The dataset includes approximately fifteen companies from different sectors and forecasts their results based on which the user can decide whether to invest in the particular… More >

Uttam Kumer Sarker¹, Md. Romij Uddin^1,*, Ahmed Khairul Hasan¹, Md. Abdur Rahman Sarkar¹, Md. Abdus Salam¹, Md. Alamgir Hossain², Eldessoky S. Dessoky³, Ismail A. Ismail³

Phyton-International Journal of Experimental Botany, Vol.91, No.8, pp. 1687-1708, 2022, DOI:10.32604/phyton.2022.020645 - 14 April 2022

Abstract In irrigated agricultural systems, nitrogen (N) and water are the vital resources for sustainability of the crop production in the modern era of climate change. The current study aimed to assess the impact of water and N management on the productivity of irrigated rice cultivars. In the context, a field observation was done at the research farm of Bangladesh Agricultural University, Mymensingh, during dry seasons in consecutive two years (2018–2019 and 2019–2020). The experiments were set up following split-plot design assigning water management in the main plots, nitrogen management in the sub-plots, and the cultivars… More >

Zhijie Tian^1,*, Xueying Jia², Tingting Liu¹, Eryan Ma¹, Lamei Xue¹, Yanqiu Hu¹, Qingrong Zheng¹

Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1543-1556, 2022, DOI:10.32604/phyton.2022.020329 - 14 March 2022

Abstract Soil respiration (Rs) plays an important role in regulating carbon cycle of terrestrial ecosystems and presents temporal and spatial heterogeneity. Abies nephrolepis is a tree species that prefers the cold and wet environment and is mainly distributed in Northeast Asia and East Asia. The Rs variations of Abies nephrolepis forests communities are generally environmental-sensitive and can effectively reflect the adaptive responses of forest ecosystems to climate change. In this study, the growing-seasonal variations of Rs, soil temperature, soil water content and soil properties of Abies nephrolepis forests were analyzed along an altitude gradient (2000, 2100, 2200 and 2300… More >

Mohamed Ali Mohamed, Ibrahim Mahmoud El-Henawy, Ahmad Salah^*

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3473-3489, 2022, DOI:10.32604/cmc.2022.020782 - 27 September 2021

Abstract Price prediction of goods is a vital point of research due to how common e-commerce platforms are. There are several efforts conducted to forecast the price of items using classic machine learning algorithms and statistical models. These models can predict prices of various financial instruments, e.g., gold, oil, cryptocurrencies, stocks, and second-hand items. Despite these efforts, the literature has no model for predicting the prices of seasonal goods (e.g., Christmas gifts). In this context, we framed the task of seasonal goods price prediction as a regression problem. First, we utilized a real online trailer dataset of… More >

Svetla P. Gateva^1,*, Gabriele Jovtchev¹, Tsveta V. Angelova¹, Tzvetana P. Nonova², Nikolay Tyutyundzhiev³, Elena G. Geleva², Kostadin Katrandzhiev¹, Nina A. Nikolova², Dimitar Dimitrov⁴, Christo V. Angelov²

Phyton-International Journal of Experimental Botany, Vol.91, No.2, pp. 293-313, 2022, DOI:10.32604/phyton.2022.016397 - 26 September 2021

Abstract Plants in natural ecosystems are exposed to a combination of UV radiation, ionizing radiation (IR) and other abiotic factors. These factors change with the altitude. We investigated DNA alterations of some wild plants of different plant families in natural ecosystems at three altitudes in Rila Mountain, Bulgaria (1500, 1782, and 2925 m above sea level (a.s.l.) exposed to UV radiation, IR and other abiotic stresses, to assess the tolerance of plant species to the changing environmental conditions in three successive growth seasons. For this purpose, physicochemical, cytogenetic, and molecular methods were applied. DNA damage was assessed… More >

Yuchen Cao, Yongwen Yang, Xianglong Zhao, Qifen Li^*

Journal of Renewable Materials, Vol.9, No.11, pp. 1823-1842, 2021, DOI:10.32604/jrm.2021.015722 - 04 June 2021

Abstract The temporal and spatial characteristics of seasonal hydrogen storage will play a very important role in the coupling of multi-energy systems. This essay believes that there are several key issues worth noting in the seasonal hydrogen storage coupled multi-energy system, namely, hydrogen storage methods, coupling models, and benefit evaluation. Through research, this article innovatively divides seasonal hydrogen storage into two types: space transfer hydrogen storage technology and time transfer physical property conversion hydrogen storage technology. Then sort out the two most typical seasonal hydrogen storage multi-energy system application scenarios and their hydrogen storage unit models. More > Graphic Abstract

Quanjia Zuo¹, Fanyi Meng^1,*, Yang Bai²

Energy Engineering, Vol.118, No.2, pp. 303-322, 2021, DOI:10.32604/EE.2021.013239 - 23 December 2020

Abstract As one of the most important commodity futures, the price forecasting of natural gas futures is of great significance for hedging and risk aversion. This paper mainly focuses on natural gas futures pricing which considers seasonality fluctuations. In order to study this issue, we propose a modified approach called six-factor model, in which the influence of seasonal fluctuations are eliminated in every random factor. Using Monte Carlo method, we first assess and comparative analyze the fitting ability of three-factor model and six-factor model for the out of sample data. It is found that six-factor model More >

Jiana Chen¹, Ruichun Zhang², Fangbo Cao¹, Xiaohong Yin^1,3, Tianfeng Liang³, Min Huang^1,*, Yingbin Zou¹

Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 1043-1057, 2020, DOI:10.32604/phyton.2020.011361 - 09 November 2020

Abstract Double-season rice cropping systems occupy a large portion of the rice production area in southern China. Because the problem of insufficient labor, mechanical transplanting (in contrast to the manual transplanting) was become more attractive in double-season rice system. However, the decisive yield factors which resulting in high grain yield of early-season rice are unclear under mechanical-transplanted conditions. In present study, the field experiments were conducted in the early season in 2017 and repeated in 2018 in Santang Town, Hunan Province, China. Ten early season rice cultivars (Zhuliangyou 819, Lingliangyou 268, Lingliangyou 104, Luliangyou 996, Xiangzaoxian… More >

Xing Deng^1,2, Haijian Shao^1,2,*, Xia Wang^3,4

Energy Engineering, Vol.117, No.5, pp. 289-299, 2020, DOI:10.32604/EE.2020.011126 - 07 September 2020

Abstract Wind speed’s distribution nature such as uncertainty and randomness imposes a challenge in high accuracy forecasting. Based on the energy distribution about the extracted amplitude and associated frequency, the uncertainty measurement is processed through Rényi entropy analysis method with time-frequency nature. Nonparametric statistical method is used to test the randomness of wind speed, more precisely, whether or not the wind speed time series is independent and identically distribution (i.i.d) based on the output probability. Seasonal characteristics of wind speed are analyzed based on self-similarity in periodogram under scales range generated by wavelet transformation to reasonably More >

Leilei Kong^1,2, Haowen Luo¹, Zhaowen Mo¹, Shenggang Pan¹, Zhixia Liu², Qiang Zhang², Song Bai^2,*, Xiangru Tang^1,*

Phyton-International Journal of Experimental Botany, Vol.89, No.3, pp. 705-714, 2020, DOI:10.32604/phyton.2020.010953 - 22 June 2020

Abstract Climate conditions is an important factor affected the fragrant rice growth and development. In order to study the effects of different planting seasons on fragrant rice performance in South China, present study was conducted with three planting seasons (early season (April to July), middle season (June to September) and late season (August to November)) and three fragrant rice cultivars, ‘Basmati-385’, ‘Meixiangzhan-2’ and ‘Xiangyaxiangzhan’. The results showed that the highest grain yield and grain 2-acetyl-1-pyrroline (2-AP, key component of fragrant rice aroma) content were both recorded in late season treatment while the fragrant rice in middle season treatment… More >