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Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured Parzen Estimator

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Frontiers of Environmental Science & Engineering 2023年第6期17卷 23-35页

作者： Junlang Li Zhenguo Chen Xiaoyong Li Xiaohui Yi Yingzhong Zhao Xinzhong He Zehua Huang mohamed A.hassaan Ahmed El Nemr Mingzhi Huang SCNU Environmental Research Institute Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety&MOE Key Laboratory of Theoretical Chemistry of EnvironmentSchool of EnvironmentSouth China Normal UniversityGuangzhou 510006China Fujian Environmental Protection Design Institute Co.Ltd Fuzhou 350000China National Institute of Oceanography and Fisheries NIOFAlexandria 21556Egypt SCNU Qingyuan Institute of Science and Technology Innovation Co. Ltd.Qingyuan 511517China

Anaerobic process is regarded as a green and sustainable process due to low carbon emission and minimal energy consumption in wastewater treatment plants(WWTPs).However,some water quality metrics are not measurable in real time,thus influencing the judgment of the operators and may increase energy consumption and carbon *** of the solutions is using a soft-sensor prediction *** article introduces a water quality soft-sensor prediction method based on Bidirectional Gated Recurrent Unit(BiGRU)combined with Gaussian Progress Regression(GPR)optimized by Tree-structured Parzen Estimator(TPE).TPE automatically optimizes the hyperparameters of BiGRU,and BiGRU is trained to obtain the point prediction with GPR for the interval ***,a case study applying this prediction method for an actual anaerobic process(2500 m^(3)/d)is carried *** show that TPE effectively optimizes the hyperparameters of *** point prediction of CODeff and biogas yield,R^(2)values of BiGRU,which are 0.973 and 0.939,respectively,are increased by 1.03%–7.61%and 1.28%–10.33%,compared with those of other models,and the valid prediction interval can be ***,the proposed model is assessed as a reliable model for anaerobic process through the probability prediction and reliable *** is expected to provide high accuracy and reliable water quality prediction to offer basis for operators in WWTPs to control the reactor and minimize carbon emission and energy consumption.

关键词： Water quality prediction Soft-sensor Anaerobic process Tree-structured Parzen Estimator

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井下传送新技术

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国外测井技术 2012年第5期32卷 66-75页

作者： Matthew Billingham Ahmed M.EI-Toukhy mohamed K.Hashem mohamed hassaan Maria Lorente Todor Sheiretov Matthew Loth 沙特阿美公司

通过钻大斜度井或使井眼通过多个目的层能够大幅度提高油气井产能。在这些井中,储层评价仪器和修井工具的常规传送方法已不再实用。为了应对复杂井眼轨迹带来的挑战,服务公司开发了多种进入和评价这类复杂井眼的创新技术。电缆向前推送... 详细信息

通过钻大斜度井或使井眼通过多个目的层能够大幅度提高油气井产能。在这些井中,储层评价仪器和修井工具的常规传送方法已不再实用。为了应对复杂井眼轨迹带来的挑战,服务公司开发了多种进入和评价这类复杂井眼的创新技术。电缆向前推送不动了!当无法将测井仪器下到井底,特别是在大斜度井中,很多沮丧的电缆测井工程师都会发出如此感叹。不过,新型传送技术的问世已经克服这一难题,至少在某些方面如此。

关键词：传送方法创新技术井下大斜度井储层评价测井仪器电缆测井气井产能

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Hepatocellular carcinoma national burden across different geographical regions in the United States between 2001 and 2020

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World Journal of Methodology 2024年第4期14卷 110-120页

作者： Yazan Abboud Raj Malhotra Muhammad hassaan Arif Maan Anna Mathew Ibrahim Abboud Chun-Wei Pan Saqr Alsakarneh Fouad Jaber Islam mohamed David Kim Nikolaos T Pyrsopoulos Department of Internal Medicine Rutgers New Jersey Medical SchoolNewarkNJ 07103United States University of California Riverside School of Medicine RiversideCA 92521United States Department of Internal Medicine John H Stroger Hospital of Cook CountyChicagoIL 60612United States Department of Internal Medicine University of Missouri-Kansas CityKansasMO 64108United States Division of Gastroenterology and Hepatology Rutgers New Jersey Medical SchoolNewarkNJ 07101United States

BACKGROUND While prior data showed an increasing incidence of hepatocellular carcinoma(HCC)in the United States,there are limited comprehensive and comparative data on the geographical variations of HCC trends in different demographicspecific *** To evaluate sex and age-specific incidence rates and time trends in different geographical regions in the United *** Age-adjusted HCC incidence rates were collected from the United States Cancer Statistics(USCS)database which covers approximately 98%of the population in the United *** rates were stratified by sex,age,and geographical *** percentage change(APC)and average APC(AAPC)were estimated using Joinpoint Regression.A pairwise comparison was conducted between sex-specific *** There were 467344 patients diagnosed with HCC in the United States in the USCS database between 2001 and *** rates and trends varied by geographical *** looking at the West region(115336 patients),incidence rates of HCC were overall increasing and also increasing in older ***,when evaluating younger adults,HCC incidence rates decreased in men but not in women with a sex-specific absolute AAPC-difference of 2.15(P=0.005).When evaluating the Midwest region(84612 patients),similar results were *** incidence rates were increasing in the overall population and in older adults as well,they were decreasing in younger men but not in women with a sex-specific absolute AAPC-difference of 1.61(P<0.001).For the Northeast region(87259 patients),the analysis showed similar results with decreasing HCC incidence rates in younger men but not counterpart women(Sex-specific AAPC-difference=3.26,P<0.001).Lastly,when evaluating the south(180137 patients),the results were also decreasing in younger men but not in women(Sex-specific AAPC-difference=2.55,P<0.001).CONCLUSION Nationwide analysis covering around 98%of the United States population shows an increasing incidence of HCC across all

关键词： Hepatocellular carcinoma Incidence Epidemiology Health disparity Geography

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Assessment of Policy-Research Interaction on Climate Change Adaptation Action: Inundation by Sea Level Rise in the Nile Delta

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Journal of Geoscience and Environment Protection 2020年第10期8卷 314-329页

作者： mohamed A. Abdrabo Mahmoud A. hassaan Alexandria Research Center for Adaptation to Climate Change (ARCA) Institute of Graduate Studies and Research Alexandria University Alexandria Egypt

Availability of reliable knowledge on future climate change impacts, vulnerability, and adaptation are considered key elements to improving adaptive capacities and developing proper adaptation actions. The Nile Delta vulnerability to Sea Level Rise (SLR) has been the subject of a relatively significant number of studies in Egypt. The research question that this paper intends to address is “to what extent have the produced scientific knowledge supported climate change adaptation policy making, concerning inundation by SLR in the Nile Delta”. To address this question, the paper begins with a review of the literature on policy-research interaction, based on which a framework of policy-research interactions is developed. This is followed by examining generated knowledge from research and the role of such knowledge on adaptation strategy development in Egypt. It was found that the research cycle has provided ample knowledge on the Nile Delta vulnerability to inundation by SLR. Additionally, the bulk of this research work and produced knowledge have been the main source of information for climate change adaptation policymaking. The interaction between research and policymaking interest in the climate change adaptation arena in Egypt confronted several challenges that may have reduced impacts of research on policymaking. These challenges included low interest in the far future, uncertain sea level rise impacts among policymakers and the uncoordinated research and varied estimates of sea level rise impacts provided by the research cycle. Moreover, the lack of proper and effective communication channels between the two cycles may have further hindered possible interaction.

关键词： Policy-Research Interaction Climate Change Sea Level Rise Nile Delta

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Structural Health Monitoring for Reinforced Concrete Containment Using Inner Electrical Resistivity Method

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Open Journal of Civil Engineering 2021年第3期11卷 317-341页

作者： Mostafa hassaan mohamed Ihab Elmasry Nabil El Ashkar Construction and Building Engineering Department Arab Academy for Science Technology and Maritime Transport Alexandria Egypt

Nuclear power plants (NPPs) are considered as the main source for generating electricity nowadays in some countries. The effect of impact of heavy fully loaded aeroplane such as (Boeing 747-200c) causes leakage of the radiation through the cracks generated on the external RC containment of NPPs, and this leads to severe damage for humans and cities. In this research paper, external RC containment is modeled using ANSYS and hit by Boeing 747-200c which is the heavier aeroplane compared to other jets and causes severe damage for external RC containment. In addition, the impact location for Boeing 747-200c is considered at 30 m vertical height. RC containment response was studied after the impact of an aeroplane and a proposed structural health monitoring technique is applied using embedded sensors in order to detect and locate the embedded cracks that is generated due to the effect of impact of heavy aeroplane. It was concluded that RC containment is intact except for the impact region which is damaged. An experimental program was applied on a part of the element in ANSYS which is away from the impact region. Four specimens were cast using heavy weight concrete in laboratory. Three cracked specimens consist of different lengths of vertical cracks which represent different times of impact in order to replicate crack propagation as in ANSYS. The cracks are simulated inside laboratory specimens using failure criteria. The parameters used in detecting the cracks for specimens are the percentage change in electrical resistivity and Decimal Logarithm

关键词： Reinforced Concrete Containment Structural Health Monitoring Electrical Resistivity

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GIS-Based Model for Mapping Malaria Risk under Climate Change Case Study: Burundi

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Journal of Geoscience and Environment Protection 2017年第11期5卷 102-117页

作者： Mahmoud A. hassaan mohamed A. Abdrabo Prosper Masabarakiza Alexandria Research Center for Adaptation to Climate Change (ARCA) Institute of Graduate Studies and Research Alexandria University Alexandria Egypt National Institute of Public Health (INSP) Bujumbura Burundi

Malaria is one of the largest problems threatening global public health that is expected to increase in the future under climate change due to associated warming and wetter conditions. This will exacerbate disease burden in Burundi as one of sub-Saharan African countries, where 2 million cases of malaria were reported in 2015. This highlights the need for developing a methodology for mapping malaria risk under climate change and delineating those regions that may potentially experience malaria epidemics in the future. Malaria transmission and distribution are generally determined by a wide range of climatic, topographic and socioeconomic factors. The paper in hand is intended to map malaria risk in Burundi under climate change up to 2050. For this purpose, a GIS-based model was developed for mapping malaria as a function of various climatic and topographic determinants of malaria. The developed GIS-model was used in mapping malaria risk under current climatic conditions. Thereafter, the produced risk map was validated compared to malaria morbidity data in Burundi at health district level. Finally, the GIS-model was applied to map malaria risk in the future under RCPs 2.6 and 8.5 scenarios up to 2050. It was found that about 34.6% and 44% of Burundi land surface will be highly vulnerable to malaria risk by 2050 under RCPs 2.6 and 8.5 scenario, respectively. Also, it was noted that such highly vulnerable areas are distributed mainly in northern parts of the country. The suggested GIS-based model for mapping malaria risk under climate change can contribute largely to more informed decision-making and policy making process in terms of planning for intervention and control malaria risk. This in turn can support reducing disease burden and improving resilience to climate change.

关键词： Malaria Risk GIS Mapping Vulnerability Burundi

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Impacts of Climate Change on Seasonal Residential Electricity Consumption by 2050 and Potential Adaptation Options in Alexandria Egypt

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American Journal of Climate Change 2018年第4期7卷 575-585页

作者： mohamed Abdel Karim A. Abdrabo Mahmoud Adel hassaan Hatem Abdelraouf Institute of Graduate Studies and Research Alexandria University Alexandria Egypt

Climate change and associated more frequent, hot or cold, extreme/weather events, as well as increasing temperature may increase future residential demand for electricity for heating and cooling purposes. The paper in hand intends to assess potential impacts of increasing temperature attributed to climate change on seasonal residential electricity consumption in Alexandria city, Egypt. Additionally, it aims to identify and discuss potential soft and hard adaptation options to such impacts. For this purpose, seasonal changes in electricity consumption were investigated. For this purpose, data on monthly residential electricity consumption, population size and income levels at district level as well as maximum monthly temperature in Alexandria city, Egypt over the period 2007-2016 were collected. This is followed by developing a panel-data model to simulate influence of temperature on residential electricity consumption. It was found that there is a significant growth trend over the study period as well as considerable seasonal variation with summer season experienced significant increase in consumption. It was found that increasing temperature, under RCP 2.6 and RCP 8.5, may contribute to significant increase in residential summer electricity consumption by 2050. Different adaptation options to such an increase in consumption, both soft and hard, have been identified and assessed.

关键词： Climate Change Residential Electricity Consumption Alexandria Modeling Adaptation

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