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Anthropogenic mineral generation and its potential resource supply:The case of niobium

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Science China Earth Sciences 2024年第8期67卷 2583-2591页

作者： Xianlai ZENG Moisés Gómez Mahmoud bakry Yong GENG Jinhui LI School of Environment Tsinghua UniversityBeijing 100084China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China School of International and Public Affairs Shanghai Jiao Tong UniversityShanghai 200030China

The strategy of carbon neutrality is reshaping the global landscape of resource flow and *** the final sink of geological minerals,the proliferated anthropogenic minerals,also called secondary resources,play an increasingly important role in resource supply *** is a critical metal that lacks full concern for its *** fundamental principle of niobium circularity is to recycle and maintain the material as close to the manufacturing process as *** we estimate the niobium-containing applications lost at their end-of-life,underscoring the imperative to minimize such ***,we elucidate the extraction processes for scrap and alloy quantities throughout the industry's *** from anticipated waste generated by the majority of niobium applications,a forecast indicates a potential loss of approximately 168 kt by 2090 in the absence of ***,with a recycling efficiency of 90%for niobium,the projected loss diminishes to approximately 16 *** delve into the significance of niobium's circular economy and explore various aspects that demand further investigation for a seamless transition from linear to circular practices.

关键词： Niobium Anthropogenic mineral Circular economy Recycling Sustainability

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Effectiveness of biofertilizers foliar application on yield and quality traits of flax(Linum usitatissimum L.)

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Oil Crop Science 2024年第2期9卷 91-101页

作者： Saied El Sayed A.B.bakry O.A.Nofal M.A.Abo Horish Plant Nutrition Department National Research Centre33 El-Behouth St12622DokkiCairoEgypt Field Crops Department National Research Centre33 El-Behouth St12622DokkiCairoEgypt

Flax is considered to be one of the most significant dual-purpose crops for oil and fiber production in Egypt and *** have a substantial impact on various metabolic processes,including increased photo-synthesis,endogenous hormone levels,ion absorption,nucleic acid synthesis,and protein *** factors collectively contribute to the growth and development of ***,this study aims to investigate how three biofertilizers(Algae extract,CMS as a by-product of yeast,and Metalosate multi minerals as amino acids)can enhance both the quantity and quality of flax seed yield under sandy soil *** field experiments were conducted at the Experimental Station of National Research Centre in Nubaria District,Behira Governorate,Egypt during two seasons(2021/2022)using a randomized complete block design(RCBD).The results revealed significant differences among all tested biofertilizers in terms of various characteristics studied in *** application of algae extract at a rate of 1.50 mL/L resulted in an increase in seed yield(ton/ha)by 26.69%&19.89%,straw yield(ton/ha)by 8.08%&17.12%,and oil yield(kg/ha)by 47.72%&33.69%compared to the control group during both seasons *** applications of algae extract at a rate of 1.50 mL/L along with CMS at a rate of 5 m L/L and amino acids at a rate of 1.50 mL/L demonstrated significantly higher macronutrient contents(N,P,K),micronutrient contents(Fe,Zn,Mn),seed oil content,and protein content in flax seeds during both *** highest values for seed oil content and protein content%were obtained through foliar application of amino acids at a rate of 1.50 mL/*** can be concluded that foliar sprays with these bio-fertilizers effectively improved flax performance by increasing seed straw and oil yields,nutrients oil,protein and fatty acids seeds contents.

关键词： Flax Bio fertilizers Seeds yield Nutrient contents Quality

“城市矿产”资源产生及其供给潜力:以金属铌为例

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中国科学：地球科学 2024年第8期54卷 2625-2632页

作者：曾现来 Moisés GÓMEZ Mahmoud bakry 耿涌李金惠清华大学环境学院北京100084 上海交通大学环境科学与工程学院上海200240 上海交通大学国际与公共事务学院上海200030

“碳中和”战略正在重塑全球资源流动和循环利用的格局,迅速增长的“城市矿产”(也称为二次资源)作为地质矿产的延伸,在资源供给和平衡方面发挥着越来越重要的作用.铌是一种关键金属,但目前缺乏对其可持续性的研究.循环利用的基本原则... 详细信息

“碳中和”战略正在重塑全球资源流动和循环利用的格局,迅速增长的“城市矿产”(也称为二次资源)作为地质矿产的延伸,在资源供给和平衡方面发挥着越来越重要的作用.铌是一种关键金属,但目前缺乏对其可持续性的研究.循环利用的基本原则是尽可能的在其全生命周期过程中高效利用该金属,对此,我们评估了含铌材料在报废过程中的损耗,揭示了最大限度减少此类损耗的必要性,阐明了全生命周期中含“城市矿产”和合金的利用过程.根据对大多数铌应用产生的“城市矿产”预测,如果不进行回收利用,到2090年可能会损失16.8万吨.相反,如果金属铌的回收利用率增至90%,预计其损失将减少到1.6万吨.因此,需要探索各种措施,以实现从线性经济到循环经济的无缝过渡,促进铌资源的可持续利用.

关键词：铌 “城市矿产” 循环经济回收利用可持续性

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Evaluation of global niobium flow modeling and its market forecasting

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Frontiers in Energy 2023年第2期17卷 286-293页

作者： Mahmoud bakry Jinhui LI Xianlai ZENG School of Environment Tsinghua UniversityBeijing 100084China

Metal,as the indispensable material,is functioning the society from technology to the ***(Nb)is considered a unique earth metal as it is related to many emerging *** increasing economic growth exerts an increasing pressure on supply,which leads to its significance in the economic ***,few papers have addressed Nb sustainability,which forms the scope of this paper in order to start the process of Nb market forecasting based on some previous data and some ***,this paper will discuss different thoughts in material substitution and the substance flow of Nb throughout a static flow using Nb global data to have a better understanding of the process of Nb from production to end of *** shall lead to the identification of the market needs to determine its growth which is around 2.5% to 3.0%.Moreover,due to China’s huge Nb consumption which comes from the continuous development that is happening over the years,it will also briefly mention the Nb situation as well as its growth which according to statistics will grow steadily till 2030 by a rate of 4.0% to 6.0%.The results show that there should be some enhancement to Nb recycling potentials out of steel *** addition,there should be more involvement of Nb in different industries as this would lead to less-used materials which can be translated to less environmental impact.

关键词： niobium(Nb) sustainability substance flow analysis recycling industrial ecology

Teleaudiology practice in COVID-19 pandemic in Egypt and Saudi Arabia

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Journal of Otology 2022年第2期17卷 78-83页

作者： Reem Elbeltagy Eman H.Waly Huny M.bakry Audiovestibular medicine Otorhinolaryngology DepartmentFaculty of MedicineZagazig UniversityEgypt Health Communication Sciences Department.College of Health and Rehabilitation Sciences Princess Nourah bint Abdulrahman UniversitySaudi Arabia Community Environmental and Occupational Medicine DepartmentFaculty of MedicineZagazig UniversityEgypt

Objective:To evaluate the audiologists’attitudes and practice towards teleaudiology,as well as to assess the audiological services provided in Egypt and Saudi Arabia during the COVID-19 ***:A cross sectional study was conducted among 112 audiologists who were recruited through convenience *** logistic regression was used to test the association between practice of tele audiology as a dependent variable and some independent ***:25.4%of the studied sample were practicing tele ***’age and attitude toward telemedicine were the independent predictors of tele audiology practice at p value≤***:The tele audiology practice is ***,raising the knowledge of audiologist about the great value of practicing tele audiology is very important,infrastructure,equipment,and technology especially telecommunication should be improved and facilitated for both audiologist and patients.

关键词： COVID-19 Telemedicine Audiology Egypt Saudi Arabia

Residual Attention Deep SVDD for COVID-19 Diagnosis Using CT Scans

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Computers, Materials & Continua 2023年第2期74卷 3333-3350页

作者： Akram Ali Alhadad Omar Tarawneh Reham R.Mostafa Hazem M.El-bakry Information Systems Department Faculty of Computers and InformationMansoura UniversityMansoura35511Egypt Computer Science Department Ibb UniversityIbbYemen SE Department Faculty of Computer Sciences and InformaticsAmman Arab UniversityAmman11953Jordan

COVID-19 is the common name of the disease caused by the novel coronavirus(2019-nCoV)that appeared in Wuhan,China in *** the infected people is the most important factor in the fight against the *** gold-standard test to diagnose COVID-19 is polymerase chain reaction(PCR),but it takes 5–6 h and,in the early stages of infection,may produce false-negative *** Computed Tomography(CT)images to diagnose patients infected with COVID-19 has become an urgent *** this study,we propose a residual attention deep support vector data description SVDD(RADSVDD)approach to diagnose *** is a novel approach combining residual attention with deep support vector data description(DSVDD)to classify the CT *** the best of our knowledge,we are the first to combine residual attention with DSVDD in general,and specifically in the diagnosis of *** attention with DSVDD naively may cause model *** in the proposed RADSVDD guides the network during training and enables quick learning,residual connectivity prevents vanishing *** approach consists of three models,each model is devoted to recognizing one certain disease and classifying other diseases as *** models learn in an end-to-end *** proposed approach attained high performance in classifying CT images into intact,COVID-19,and non-COVID-19 *** evaluate the proposed approach,we created a dataset from published datasets and had it assessed by an experienced *** proposed approach achieved high performance,with the normal model attained sensitivity(0.96–0.98),specificity(0.97–0.99),F1-score(0.97–0.98),and area under the receiver operator curve(AUC)0.99;the COVID-19 model attained sensitivity(0.97–0.98),specificity(0.97–0.99),F1-score(0.97–0.99),and AUC 0.99;and the non-COVID pneumoniamodel attained sensitivity(0.97–1),specificity(0.98–0.99),F1-score(0.97–0.99),and AUC 0.99.

关键词： Deep learning deep SVDD residual attention anomaly detection COVID-19 Coronavirus

Incremental Learning Framework for Mining Big Data Stream

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Computers, Materials & Continua 2022年第5期71卷 2901-2921页

作者： Alaa Eisa Nora E.L-Rashidy Mohammad Dahman Alshehri Hazem M.El-bakry Samir Abdelrazek Information Systems Department Faculty of Computers and InformationMansoura UniversityMansoura35516Egypt Machine Learning and Information Retrieval Department Faculty of Artificial IntelligenceKafrelsheikh UniversityKafr El-SheikhEgypt Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

At this current time,data stream classification plays a key role in big data analytics due to its enormous *** of the existing classification methods used ensemble learning,which is trustworthy but these methods are not effective to face the issues of learning from imbalanced big data,it also supposes that all data are *** weakness of current methods is that it takes a long evaluation time when the target data stream contains a high number of *** main objective of this research is to develop a new method for incremental learning based on the proposed ant lion fuzzy-generative adversarial network *** proposed model is implemented in spark *** each data stream,the class output is computed at slave nodes by training a generative adversarial network with the back propagation error based on fuzzy bound *** method overcomes the limitations of existing methods as it can classify data streams that are slightly or completely unlabeled data and providing high scalability and *** results show that the proposed model outperforms stateof-the-art performance in terms of accuracy(0.861)precision(0.9328)and minimal MSE(0.0416).

关键词： Ant lion optimization(ALO) big data stream generative adversarial network(GAN) incremental learning renyi entropy

Heterogeneous performance analysis of the new model of CFAR detectors for partially-correlated χ~2-targets

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Journal of Systems Engineering and Electronics 2018年第1期29卷 1-17页

作者： EL_MASHADE Mohamed bakry Electrical Engineering Department Faculty of Engineering Al Azhar University

To mitigate the deleterious effects of clutter and jammer, modern radars have adopted adaptive processing techniques such as constant false alarm rate(CFAR) detectors which are widely used to prevent clutter and noise interference from saturating the radar’s display and preventing targets from being *** paper concerns with the detection analysis of the novel version of CFAR schemes(cell-averaging generalized trimmed-mean,CATM) in the presence of additional outlying targets other than the target under research. The spurious targets as well as the tested one are assumed to be fluctuating in accordance with the χ~2-model with two-degrees of freedom. In this situation, the processor performance is enclosed by the swerling models(SWI and SWII). Between these bounds, there is an important class of target fluctuation which is known as moderately fluctuating targets. The detection of this class has many practical applications. Structure of the CATM detector is described briefly. Detection performances for optimal, CAM, CA, trimmed-mean(TM) and ordered-statistic(OS) CFAR strategies have been analyzed and compared for desired probability of false alarm and determined size of the reference window. False alarm rate performance of these processors has been evaluated for different strengths of interfering signal and the effect of correlation among the target returns on the detection and false alarm performances has also been studied. Our numerical results show that, with a proper choice of trimming parameters,the novel model CAM presents an ideal detection performance outweighing that of the Neyman-Pearson detector on condition that the tested target obeys the SWII model in its fluctuation. Although the new models CAS and CAM can be treated as special cases of the CATM algorithm, their multi-target performance is modest even it has an enhancement relative to that of the classical CAcheme. Additionally, they fail to maintain the false alarm rate constant when the operati

关键词： adaptive target detection multi-pulse performance noise and interference partially-correlated χ~2-targets SWI & SWII target fluctuation models target multiplicity environments

Semantic Pneumonia Segmentation and Classification for Covid-19 Using Deep Learning Network

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Computers, Materials & Continua 2022年第10期73卷 1141-1158页

作者： M.M.Lotfy Hazem M.El-bakry M.M.Elgayar Shaker El-Sappagh G.Abdallah M.I A.A.Soliman Kyung Sup Kwak Department of Mathematics Faculty of ScienceArish UniversityArish45511Egypt Department of Information Systems Faculty of Computers and InformationMansoura UniversityMansoura35511Egypt Department of Information Technology Faculty of Computers and InformationMansoura UniversityMansoura35511Egypt Centro Singular de Investigación en Tecnoloxías Intelixentes(CiTIUS) Universidade de Santiago de CompostelaSantiago de Compostela15705Spain Information Systems Department Faculty of Computers and Artificial IntelligenceBenha UniversityBenha13512Egypt Department of Information and Communication Engineering Inha UniversityIncheon22212Korea

Early detection of the Covid-19 disease is essential due to its higher rate of infection affecting tens of millions of people,and its high number of deaths also by 7%.For that purpose,a proposed model of several stages was *** first stage is optimizing the images using dynamic adaptive histogram equalization,performing a semantic segmentation using DeepLabv3Plus,then augmenting the data by flipping it horizontally,rotating it,then flipping it *** second stage builds a custom convolutional neural network model using several pre-trained ***,the model compares the pre-trained data to the new output,while repeatedly trimming the best-performing models to reduce complexity and improve memory *** experiments were done using different techniques and ***,the proposed model achieved an average accuracy of 99.6%and an area under the curve of 0.996 in the Covid-19 *** paper will discuss how to train a customized intelligent convolutional neural network using various parameters on a set of chest X-rays with an accuracy of 99.6%.

关键词： SARS-COV2 COVID-19 pneumonia deep learning network semantic segmentation smart classification