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Qinghui Wang, Yu Peng, Min Fan, Zheng Zhang and Qingtong Cui
Assessment of the impacts of landscape patterns on regional precipitation will help improve ecosystem management and strategies for adaption to global changes. This study aimed to identify the key landscape metrics that affect precipitation across three ...
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Harry Patmadjaja,Rudy Setiawan
Pág. pp. 69 - 76
Elementary School is a common location for traffic congestion especially every morning. This condition can be avoided if the elementary school planner can predict the trip generation of that school. The aim of this research is to make a mathematical mode...
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Zengliang Zang, Weiqi Wang, Xinghong Cheng, Bin Yang, Xiaobin Pan and Wei You
The aerosol optical depth (AOD) from satellites or ground-based sun photometer spectral observations has been widely used to estimate ground-level PM2.5 concentrations by regression methods. The boundary layer height (BLH) is a popular factor in the regr...
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Yen-Chang Chen, Hui-Chung Yeh, Su-Pai Kao, Chiang Wei and Pei-Yi Su
In this study, a novel model that performs ensemble empirical mode decomposition (EEMD) and stepwise regression was developed to forecast the water level of a tidal river. Unlike more complex hydrological models, the main advantage of the proposed model ...
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Hamzeh F. Assous and Dania Al-Najjar
The World Health Organization officially declared COVID-19 a global pandemic on 11 March 2020. In this study, we examine the effect of COVID-19 indicators and policy response on the Saudi banking index. COVID-19 variables that were applied are: new confi...
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Lee Mei Yan
Pág. 32
Product quality monitoring is an important element in industrial process control. In reality, most product qualities are difficult to be measured online due to technical or economic restrictions. Empirical inferential model is an effective solution...
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Lingbo Liu, Tao Hu, Shuming Bao, Hao Wu, Zhenghong Peng and Ru Wang
(1) Background: Human mobility between geographic units is an important way in which COVID-19 is spread across regions. Due to the pressure of epidemic control and economic recovery, states in the United States have adopted different policies for mobilit...
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Silvana Irene Torri, Carla Descalzi, Enrique Frusso
Pág. 53 - 58
Nondestructive and mathematical approaches of modeling can be very convenient and useful for plant growth estimation. The objective of this research was to develop a simple, accurate and nondestructive predictive model...
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Hossein Jamshidifarsani, Samir Garbaya and Ioana Andreea Stefan
Technology-based in-home reading and spelling programs have the potential to compensate for the lack of sufficient instructions provided at schools. However, the recent COVID-19 pandemic showed the immaturity of the existing remote teaching solutions. Co...
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Roohollah Noori, Behzad Ghiasi, Sohrab Salehi, Mehdi Esmaeili Bidhendi, Amin Raeisi, Sadegh Partani, Rojin Meysami, Mehran Mahdian, Majid Hosseinzadeh and Soroush Abolfathi
Sediment load in fluvial systems is one of the critical factors shaping the river geomorphological and hydraulic characteristics. A detailed understanding of the total sediment load (TSL) is required for the protection of physical, environmental, and eco...
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Lina Yuan, Long Li, Ting Zhang, Longqian Chen, Weiqiang Liu, Sai Hu and Longhua Yang
This study aims to integrate multisource data to model the relative soil moisture (RSM) over the Chinese Loess Plateau in 2017 by stepwise multilinear regression (SMLR) in order to improve the spatial coverage of our previously published RSM. First, 34 c...
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Roberta Fusco, Vincenza Granata, Mario Sansone, Robert Grimm, Paolo Delrio, Daniela Rega, Fabiana Tatangelo, Antonio Avallone, Nicola Raiano, Giuseppe Totaro, Vincenzo Cerciello, Biagio Pecori and Antonella Petrillo
Purpose: The aim of the study is to evaluate the potential of Intravoxel incoherent motion model of diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in the differentiation of local colorectal cancer recurrence (LCR) from scar/fibrosi...
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G. F. Nel,E. vdM. Smit,L. M. Brummer
AbstractInvestor relations is the field of management that is concerned with the relationships between companies and investors, and as such involves a wide variety of information types, for example mandatory, voluntary, financial, non-financial, qualitat...
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Jasna Duricic, Tarkan Erdik, Ali Osman Pektas and Petrus H.A.J.M Van Gelder
The dam-break induced loads and their effects on buildings are of vital importance for assessing the vulnerability of buildings in flood-prone areas. A comprehensive methodology, for risk assessment of buildings subject to flooding, is nevertheless still...
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Sirikanya Cheevaprasert, Rajeshwar Mehrotra, Sansarith Thianpopirug and Nutchanart Sriwongsitanon
This study presents an exhaustive evaluation of the performance of three statistical downscaling techniques for generating daily rainfall occurrences at 22 rainfall stations in the upper Ping river basin (UPRB), Thailand. The three downscaling techniques...
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Fernando Drake, Juan Ramón Molina, Miguel Ángel Herrera
Pág. 159 - 176
Chilean temperate forests are dominated by Nothofagus and Araucaria araucana species. Despite A. araucana not being at imminent risk of extinction, its cultural value and the associated environmental services and landscape goods have an important role ...
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Taoying Li, Miao Hua and Qian Yin
The big data from various sensors installed on-board for monitoring the status of ship devices is very critical for improving the efficiency and safety of ship operations and reducing the cost of operation and maintenance. However, how to utilize these d...
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Soil total nitrogen (N) stock in rangelands, shrublands, and forests support key ecological functions such as the capacity of the land to sustain plant and animal productivity and ecosystem services. The objective of this study was to model soil total N ...
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Shiu-Shin Lin, Jheng-Hua Song, Kai-Yang Zhu, Yi-Chuan Liu and Hsien-Cheng Chang
Typhoon intensity forecast is an important issue. The objective of this study is to construct a 5-day 12-hourly typhoon intensity forecast model based on the adaptive neuro-fuzzy inference systems (ANFIS) to improve the typhoon intensity forecast in the ...
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Weizhong Zeng, Ke Xu, Sihang Cheng, Lei Zhao and Kun Yang
Secchi depth (SD) is a valuable and feasible water quality indicator of lake eutrophication. The establishment of an automated system with efficient image processing and an algorithm suitable for the inversion of transparency in lake-rich regions could p...
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