Article
Environmental Sciences
Nikolay Stoyanov, Antonia Pandelova, Tzanko Georgiev, Julia Kalapchiiska, Bozhidar Dzhudzhev
Summary: Air pollution is a serious environmental problem, especially in highly urbanized areas, where high concentrations of particulate matter have a significant impact on human health and ecosystems. This study utilizes a combined ARIMA-Multiple Linear Regression modeling approach to forecast particulate matter content, using the capital city of Bulgaria as a case study. Regression analysis techniques are used to examine the relationship between particulate matter concentration and basic meteorological variables. The adequacy of the models is proven through the examination of residuals. The synthesized time series model can be used for forecasting, monitoring, and controlling air quality conditions. All analyzes and calculations were performed using the statistical software STATGRAPHICS.
JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT
(2023)
Article
Energy & Fuels
Tengyue Zhang, Kunlun Han, Hongzheng Li, Shuhao Liu, Fengyuan Chen
Summary: This study presents a novel HVDC protection method based on the MODWT and kurtosis of cross correlation coefficient, which can achieve fault identification and fault location without data down sampling. By analyzing the difference of high frequency content under different fault types and fault areas, the method decomposes fault traveling waves using MODWT and performs cross correlation analysis of the decomposed high frequency components. Then, the kurtosis ratio is used to judge fault zones and fault types, considering the influence of noise. Finally, the fault location is calculated using the maximum coordinate of the cross-correlation function.
Article
Business
Alexandra-Nicoleta Ciucu (Durnoi), Cosmin Alexandru Teodorescu, Vanesa Madalina Vargas, Corina Ioanas
Summary: The article analyzes the digitalization level in the European Union (EU) and its correlation with the United Nations' Sustainable Development Goals. It provides data and forecasts on various indicators, highlighting the EU's progress towards multiple SDGs and the crucial role of digitalization in driving sustainable development.
AMFITEATRU ECONOMIC
(2023)
Article
Food Science & Technology
Bernd Leplow, Johannes Pohl, Julia Woellner, David Weise
Summary: Satisfaction with botulinum neurotoxin treatment in neurological indications is high on a group level. Single-case analysis can be used to evaluate individual outcomes of the treatment and identify patients who do not follow the average treatment effect.
Article
Engineering, Multidisciplinary
J. Delaram, M. Khedmati
Summary: This study investigates the behavior of six air pollutants in Tehran over a 6-year period and develops effective forecasting models for each pollutant. The results show accurate model performance and identify two main factors affecting air quality.
Article
Chemistry, Analytical
Alina Barbulescu, Cristian Stefan Dumitriu
Summary: Experiments have demonstrated the presence of electrical signals in the ultrasonic cavitation field, and their properties have been studied. This research models the voltage collected in seawater during ultrasonic cavitation produced by a 20kHz frequency generator and compares the effectiveness of different modeling methods, with the hybrid Wavelet-ANN model proving to be the most accurate.
Article
Environmental Sciences
Grzegorz Przydatek
Summary: This study compares the efficiency of municipal waste management between Radom, Poland and Spokane, United States from 2014 to 2017. Spokane had a higher total mass of waste collected, while Radom had a higher monthly average. Nonselectively collected waste was predominant in both cities, but Radom had the highest accumulation rate per capita in the European Union. An increase in population in Spokane led to a higher accumulation rate per capita, particularly for selectively collected waste. The waste management system in Spokane had projected waste growth, greater efficiency, more selective waste accumulation, and rational waste to energy processing compared to Radom.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Computer Science, Information Systems
Chao Yan, Yankun Zhang, Weiyi Zhong, Can Zhang, Baogui Xin
Summary: In this paper, we propose a novel approach that treats historical QoS values as a temporal sequence of QoS matrices and combines them with the ARIMA model to achieve more accurate and efficient QoS prediction in mobile edge computing environments.
TSINGHUA SCIENCE AND TECHNOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Hyungkyu Kim, Byungkon Kim, Doyoung Jung
Summary: This study analyzed the effects of ADAS on driver behavior control and attitude change, finding that while it can reduce cognitive reaction time in risky situations, it may have a long-term negative impact on driver behavior in terms of maintaining safety distance.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Theory & Methods
Yuanyuan Liu
Summary: The main innovation of Industry 4.0 is the transformation of industrial operation facilities through human-robot cooperation. Robots have been developed as modern industrial solutions to assist operators in performing manual tasks in cyber-physical environments. The integration of human talents with intelligent machinery offers advantages such as continuous operation and increased adaptability.
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
(2023)
Article
Computer Science, Software Engineering
Ahmed E. Abdel Raouf, Alshaimaa Abo-alian, Nagwa L. Badr
Summary: The proposed research introduces a clustered-based multi-tenant database management system and a dynamic proactive provisioning technique using the RNN model with LSTM cells. Experimental results demonstrate that this model has higher accuracy in multi-tenant database workloads, reducing prediction errors for SLA violation values.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2021)
Article
Management
Jing Wang, Xuhong Peng, Jindong Wu, Youde Ding, Barkat Ali, Yizhou Luo, Yiting Hu, Keyao Zhang
Summary: This study explores the challenge of non-stationarity in emergency ambulance demand time series prediction and proposes two hybrid forecasting models. The research findings reveal that the integrated SSA-ARIMA model performs the best in terms of predictive accuracy. SSA is a highly effective pre-processing method for non-stationary time series prediction.
IMA JOURNAL OF MANAGEMENT MATHEMATICS
(2023)
Article
Computer Science, Hardware & Architecture
Morteza Azimi Nasab, Mohammad Zand, Sanjeevikumar Padmanaban, Mahajan Sagar Bhaskar, Josep M. Guerrero
Summary: This paper presents a new model for allocating pumped-storage hydropower units in the next day's market. The model utilizes ARIMA and SARIMA to predict the market price and incorporates a triple scenario tree to address uncertainties. The allocation problem is formulated as a mixed-integer linear programming to maximize the power plant profit. Additionally, the proposed method considers uncertainties related to wind power plants. Simulation results demonstrate the accuracy and effectiveness of the proposed model in predicting market prices.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Computer Science, Information Systems
Mohamed R. Abonazel, Nesma M. Darwish
Summary: This study utilizes statistical prediction models to forecast the development trend and death toll of COVID-19 in Egypt, providing valuable insights and recommendations for decision-making.
COMMUNICATIONS IN MATHEMATICAL BIOLOGY AND NEUROSCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Mouna Merdasse, Mohamed Hamdache, Jose A. Pelaez, Jesus Henares, Tarek Medkour
Summary: This study compares two different time series forecasting methods (parametric and non-parametric) to predict the frequency and magnitude of earthquakes above Mw 4.0 in Northeastern Algeria. The parametric approach is based on the Autoregressive Integrated Moving Average (ARIMA) model, while the non-parametric approach utilizes the Singular Spectrum Analysis (SSA) method. The ARIMA and SSA models are trained and used to forecast the annual number of earthquakes and annual maximum magnitude events in Northeastern Algeria between 1910 and 2019. The results suggest that the SSA forecasting model is more accurate than the ARIMA model, as evaluated by the root mean square error (RMSE) criterion. According to the findings, the annual maximum magnitude in Northeastern Algeria between 2020 and 2030 is projected to range from Mw 4.8 to Mw 5.1, with an estimated four to six events of at least Mw 4.0 occurring each year.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Chemical
Onur Sozudogru, Baybars Ali Fil, Recep Boncukcuoglu, Erdinc Aladag, Sinan Kul
PARTICULATE SCIENCE AND TECHNOLOGY
(2016)
Article
Chemistry, Physical
Erdinc Aladag, Baybars Ali Fil, Recep Boncukcuoglu, Onur Sozudogru, Alper Erdem Yilmaz
JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY
(2014)
Article
Chemistry, Physical
Erkan Disli, Dilara Ozturk, Erdinc Aladag
Summary: The study demonstrated that bottom sludge (BS) is effective in adsorbing Auramine O (AuO) dye, providing a viable method for removing AuO from aquatic environments.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Article
Environmental Sciences
Melih Onay, Erdinc Aladag
Summary: This study assessed the bioethanol efficiency of Scenedesmus acuminatus CCALA 436 and studied the effects of growing the algae in wastewater and at different concentrations of mepiquat chloride. The pre-treatment efficiencies of different concentrations of calcium oxide on the microalgae biomass were also evaluated. The findings suggest that Scenedesmus acuminatus CCALA 436 grown in wastewater and mepiquat chloride can be used for the treatment of wastewater and the production of ethanol and high-value products.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Sinan Kul, Recep Boncukcuoglu, Fatma Ekmekyapar Torun, Zuleyha Recber, Onur Sozudogru, Erdinc Aladag
Summary: This study investigates the treatment of olive mill wastewater using the electrooxidation process and examines the effects of different experimental parameters on the removal efficiencies of chemical oxygen demand and total phenol. The study finds that the electrooxidation method can effectively treat olive mill wastewater, achieving high removal rates for chemical oxygen demand and total phenol.
WATER AIR AND SOIL POLLUTION
(2022)
Article
Environmental Sciences
Erdinc Aladag
Summary: Van, the most crowded province in the east of Turkey, experiences severe air pollution in winter. The study investigated the variations in air pollutants and meteorological variables in Van city center from 2015 to 2020. A multiple non-linear regression (MLNR) model was used to assess the impact of meteorological parameters on air quality. The results showed that colder temperatures, lower wind speed, higher atmospheric pressure, and higher humidity were associated with decreased air quality.
WATER AIR AND SOIL POLLUTION
(2023)
Article
Environmental Sciences
Burhanettin Farizoglu, Baybars Ali Fil, Onur Sozudogru, Erdinc Aladag, Sinan Kul
FRESENIUS ENVIRONMENTAL BULLETIN
(2019)
Article
Chemistry, Multidisciplinary
T. T. Bayram, A. Nuhoglu, E. Aladag
BULGARIAN CHEMICAL COMMUNICATIONS
(2017)
Article
Environmental Sciences
Song Song, Yiqiang Xiao, Ruoxiang Tu, Shi Yin
Summary: This study investigates the relationship between thermal perception and the psychological restorative benefits of green space exposure. It demonstrates that short-term exposure to urban park grassland and forest in hot and humid areas increases perceived restorativeness and decreases negative emotions. The study highlights the importance of incorporating thermal perception and psychological restoration in the design and management of urban green spaces.
Article
Environmental Sciences
Bo Yu, Xinwei Lu, Yufan Yang, Zhenze Wang, Kai Lei, Huiyun Pan, Sijia Deng, Tong Zhu, Yingsen Zhang
Summary: This study investigated the contamination, eco-health hazards, and influencing factors of certain carcinogenic toxic elements in resuspendable surface dust in urban communities in Xi'an. The results showed that these elements posed a high cancer risk, particularly to children. Traffic and residential activities were identified as important factors influencing the pollution and risk, while vegetation distribution in the city was found to reduce the risk.
Article
Environmental Sciences
Danyue Zhi, Hepeng Zhao, Yan Chen, Weize Song, Dongdong Song, Yitao Yang
Summary: The configuration of the urban built environment is crucial for sustainability and carbon neutrality. This study employs an interpretive machine learning framework to investigate the heterogeneous impacts of urban morphological features on traffic carbon emissions. The results reveal nonlinear relationships and interactive effects, providing implications for urban planning and carbon emission reduction.
Article
Environmental Sciences
Sajjad Hussain, Muhammad Mubeen, Wajid Nasim, Faisal Mumtaz, Hazem Ghassan Abdo, Raoof Mostafazadeh, Shah Fahad
Summary: This research utilized remote sensing technology to analyze historical trends and predict future changes in land use, land cover, and climate. The findings reveal an increasing built-up area, decreasing vegetation, and rising land surface temperature in the Multan region. This study underscores the importance of remote sensing technology in understanding past and predicting future land transformations and temperature variations, providing valuable insights for decision makers in sustainable land use and climate adaptation.
Article
Environmental Sciences
Dongri Han, Su Yan, Xiumei Sun
Summary: This study examines the impact and mechanism of the Winter Clean Heating Plan for Northern China on air pollution reduction. The research finds that the policy has effectively reduced air pollution emissions in the northern region by 17.3% since its implementation. Economic and urban development factors also play a role in reducing air pollution. The results indicate that the policy has a more significant positive influence on air pollution control in Northwest China's cities and non-provincial capital cities.