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Kaoline-based catalyst for a high stability desulfurization of sour heavy naphtha in a three-phase oscillatory baffled reactor

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Particuology 2024年第1期84卷 249-260页

作者： Hassan m.Hmood Saba A.Gheni Safaa m.R.Ahmed mudheher m.Ali Hamid Yonis Saleh mohammed H.mohammed awad e.mohammed marwan A.mahomood Hiba R.mohammed Ahmed A.Hassan Adam Harvey North Refineries Company Ministry of OilIraq Chemical engineering Department Tikrit UniversityIraq ministry of Oil Iraq AL-Hawija Technical Institute Northern Technical UniversityMoselIraq School of engineering Newcastle UniversityUK

To meet the rapidly increasing demand for energy and the dramatic depletion of conventional crude oil,it is imperative to utilize sour *** no coke being produced,oxidative desulfurization(ODS)of naphtha lowers its sulfur content and average molecular *** this article,we outline a method for heavy naphtha non-extractive ODS using a very stable *** technique involves the use of a solid catalyst with oxygen gas as the *** necessitated relatively high mixing intensities;hence a three-phase Oscillatory Baffled Reactor(OBR)was *** catalyst was based on the zeolite ZSm-5,prepared from natural kaolin by a series of delamination and activation steps and impregnated with Fe.A TiO2 nanolayer was applied,using the sol-gel method,to prevent rapid *** reactor performance was evaluated to minimize the sulfur content in the naphtha *** to the protective coating,the sulfur conversion stabilized at 90%.The results of this work establish the use of natural clay-based catalysts in a continuous,three-phase ODS,particularly with regard to proving long-term *** also showed that modest ODS can be achieved using an environmentally friendly oxidant,at mild operating conditions,whilst maintaining stability.

关键词： Natural kaoline Desulfurization Three-phase Oscillatory baffled reactor

A Comprehensive Review on Charging Topologies and Power electronic Converter Solutions for electric Vehicles

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Journal of modern Power Systems and Clean energy 2024年第3期12卷 675-694页

作者： Abdelfatah Ali Hossam H.H.mousa mostafa F.Shaaban maher A.Azzouz Ahmed S.A.awad the Department of electrical engineering American University of Sharjah26666 SharjahUnited Arab Emirates the Department of electrical engineering South Valley University83523 QenaEgypt the Department of electrical and Computer engineering University of WindsorWindsorON N9B 3P4 Canada electrical engineering Department Qatar UniversityDoha 2713Qatar Department of electrical and Computer engineering Sultan Qaboos UniversityMuscat123Oman

electric vehicles(eVs)are becoming more popular worldwide due to environmental concerns,fuel security,and price *** performance of eVs relies on the energy stored in their batteries,which can be charged using either AC(slow)or DC(fast)***,eVs can also be used as mobile power storage devices using vehicle-to-grid(V2G)*** electronic converters(PeCs)have a constructive role in eV applications,both in charging eVs and in ***,this paper comprehensively investigates the state of the art of eV charging topologies and PeC solutions for eV *** examines PeCs from the point of view of their classifications,configurations,control approaches,and future research prospects and their impacts on power *** can be classified into various topologies:DC-DC converters,AC-DC converters,DC-AC converters,and AC-AC *** address the limitations of traditional DC-DC converters such as switching losses,size,and high-electromagnetic interference(emI),resonant converters and multiport converters are being used in high-voltage eV ***,power-train converters have been modified for high-efficiency and reliability in eV *** paper offers an overview of charging topologies,PeCs,challenges with solutions,and future trends in the field of the eV charging station applications.

关键词： Charging station charging topology electric vehicle power electronic converter vehicle-to-grid

Analysis of the Drought Impact as an extreme Climatic event in Sudan

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Journal of Geoscience and environment Protection 2024年第6期12卷 38-47页

作者： awad Hussien School of Atmospheric Science Nanjing University of Information Science & Technology Nanjing China

This study aimed to investigate drought as an extreme climatic event in Sudan by utilizing the Anomaly and Standard Precipitation Index (SPI). This research employed high-resolution Climate Hazards Group Infrared Precipitation with Station (CHIRPS) data to analyze the temporal and spatial distribution of rainfall in Sudan from 2001 to 2015. Notably, the analysis compared the annual average precipitation to specific drought events and calculated the Standardized Precipitation Index (SPI). The results indicate a striking frequency of drought occurrence in Sudan, with SPI values suggesting similarities between drought and wet years. It is recommended to compute the SPI for individual stations rather than rely solely on area averages. Despite the comparable SPI values between the drought and wet years, this study emphasizes the profound impact of drought as a recurring phenomenon in Sudan. These findings emphasize the urgent need for proactive drought management and mitigation strategies in Sudan to effectively address the consequences of this climatic challenge.

关键词： CHIRPS SPI Anomaly Rainfall Aridity

Single nucleotide polymorphism within chromosome 8q24 is associated with prostate cancer development in Saudi Arabia

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Asian Journal of Urology 2024年第1期11卷 26-32页

作者： awad elsid Osman Sahar Alharbi Atif Ali Ahmed Asim Ali elbagir Pathology and Clinical Laboratory management Department(PCLm) King Fahad Medical CityRiyadhSaudi Arabia Department of Pathology and Laboratory medicine University of Missouri at Children's Mercy HospitalKansas CityMOUSA

Objective: Genome-wide association studies have demonstrated that single nucleotide polymorphisms (SNPs) are important risk factors for the development of prostate cancer (PCa). Preliminary studies have suggested that the incidence of PCa in Saudi males is low but is probably familial or genetically ***: To identify any possible association of SNP with PCa development in Saudi patients, we investigated a group of SNPs in Saudi PCa patients (n=85) and compared the outcomes to healthy normal controls (n=115) and nodular hyperplasia patients (n=120). DNA was extracted from paraffin-embedded formalin fixed tissue or whole blood from both patients’ groups and healthy control group. A total of thirteen SNPs were genotyped using Taqman® minor groove binder polymerase chain reaction ***: The rs16901979A, s629242T and rs1447295A alleles were found at significantly higher frequency in PCa patients than controls (pe rs16901979 CA genotype was found at significantly greater frequency in PCa patients than in healthy controls (43% vs. 14%, odds ratio=4.6, p=0.0001) and benign hyperplasia group (43% vs. 25%, odds ratio=2.2, p=0.009).Conclusion: Our study has highlighted the association of rs16901979 SNP with PCa in Saudi males. Such findings have important implications in the PCa diagnosis and in screening unaffected family members of Saudi patients.

关键词： Prostatecancer Saudi Singlenucleotide polymorphism Allele

enhanced quantum resources via two distant atom-cavity systems under the influence of atomic dissipation

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Communications in Theoretical Physics 2024年第2期76卷 62-73页

作者： m Setodeh Kheirabady m K Tavassoly m Rafeie e Ghasemian Laser and Optics Group Faculty of PhysicsYazd UniversityYazd 89195-741Iran Department of electrical engineering Faculty of Intelligent Systems Engineering and Data SciencePersian Gulf UniversityBushehrIran

Quantum resources such as entanglement and coherence are the holy grail for modern quantum technologies. Although the unwanted environmental effects tackle quantum information processing tasks, suprisingly these key quantum resources may be protected and even enhanced by the implementation of some special hybrid open quantum systems. Here, we aim to show how a dissipative atom-cavity-system can be accomplished to generate enhanced quantum *** do so, we consider a couple of dissipative cavities, where each one contains two effective two-level atoms interacting with a single-mode cavity field. In practical applications, a classical laser field may be applied to drive each atomic subsystem. After driving the system, a Bell-state measurement is performed on the output of the system to quantify the entanglement and coherence. The obtained results reveal that the remote entanglement and coherence between the atoms existing inside the two distant cavities are not only enhanced, but can be stabilized, even under the action of dissipation. In contrast, the local entanglement between two atoms inside each dissipative cavity attenuates due to the presence of unwanted environmental ***, the local coherence may show the same behavior as the remote ***, the system provides the steady state entanglement in various interaction regimes,particularly in the strong atom-cavity coupling and with relatively large detuning. more interestingly, our numerical analyses demonstrate that the system may show a memory effect due to the fact that the death and revival of the entanglement take place during the interaction. Our proposed model may find potential applications for the implementation of long distance quantum networks. In particular, it facilitates the distribution of quantum resources between the nodes of large-scale quantum networks for secure communication.

关键词： remote entanglement and coherence atomic dissipation steady state entanglement Bell-statemeasurement

Novel Framework for an Intrusion Detection System Using multiple Feature Selection methods Based on Deep Learning

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Tsinghua Science and Technology 2024年第4期29卷 948-958页

作者： A.e.m.eljialy mohammed Yousuf Uddin Sultan Ahmad Department of Information Systems College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabiaand also with University Center for Research and Development(UCRD)Department of Computer Science and EngineeringChandigarh UniversityPunjabIndia

Intrusion detection systems (IDSs) are deployed to detect anomalies in real time. They classify a network’s incoming traffic as benign or anomalous (attack). An efficient and robust IDS in software-defined networks is an inevitable component of network security. The main challenges of such an IDS are achieving zero or extremely low false positive rates and high detection rates. Internet of Things (IoT) networks run by using devices with minimal resources. This situation makes deploying traditional IDSs in IoT networks unfeasible. machine learning (mL) techniques are extensively applied to build robust IDSs. many researchers have utilized different mL methods and techniques to address the above challenges. The development of an efficient IDS starts with a good feature selection process to avoid overfitting the mL model. This work proposes a multiple feature selection process followed by classification. In this study, the Software-defined networking (SDN) dataset is used to train and test the proposed model. This model applies multiple feature selection techniques to select high-scoring features from a set of features. Highly relevant features for anomaly detection are selected on the basis of their scores to generate the candidate dataset. multiple classification algorithms are applied to the candidate dataset to build models. The proposed model exhibits considerable improvement in the detection of attacks with high accuracy and low false positive rates, even with a few features selected.

关键词： random forest feature selection decision tree software-defined network logistic regression intrusion detection system XGB classifier AdaBoost

Comparative Studies between Picard’s and Taylor’s methods of Numerical Solutions of First Ordinary Order Differential equations Arising from Real-Life Problems

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Journal of Applied mathematics and Physics 2024年第3期12卷 877-896页

作者： Khalid Abd elrazig awad Alla elnour Department of mathematics Preparatory Deanship Najran University Najran Kingdom of Saudi Arabia

To solve the first-order differential equation derived from the problem of a free-falling object and the problem arising from Newton’s law of cooling, the study compares the numerical solutions obtained from Picard’s and Taylor’s series methods. We have carried out a descriptive analysis using the mATLAB software. Picard’s and Taylor’s techniques for deriving numerical solutions are both strong mathematical instruments that behave similarly. All first-order differential equations in standard form that have a constant function on the right-hand side share this similarity. As a result, we can conclude that Taylor’s approach is simpler to use, more effective, and more accurate. We will contrast Rung Kutta and Taylor’s methods in more detail in the following section.

关键词： First-Order Differential equations Picard method Taylor Series method Numerical Solutions Numerical examples mATLAB Software

The Influence of Information Technology(IT)on Accrual Accounting Adoption:The Case of the Jordanian Public Sector

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Journal of modern Accounting and Auditing 2024年第2期20卷 40-48页

作者： moawiah awad Alghizzawi Rosnia masruki University of Buraimi Al BuraimiOman Universiti Sains Islam malaysia NilaiMalaysia

Jordan is one of many countries that intends to reform its public sector by adopting accrual accounting,which is primarily carried out through the International Public Sector Accounting Standards(IPSAS)implementation plan,scheduled to be completed by *** the difficulties of adoption,this process cannot be completed without an appropriate Information Technology(IT)system capable of providing the accounting information required for this ***,this study aims to examine the influence of IT on accrual accounting adoption in the Jordanian public *** study employed the quantitative survey *** on 331 usable questionnaires,the descriptive findings showed that the use of IT in the Jordanian public sector is relevant to daily accounting transactions in general and to accrual accounting in *** regression analysis showed a positive,significant relationship between IT use and accrual accounting *** IT specialist should be able to understand the needs of public sector in adopting accrual-based *** line with today’s digitalization age,which integrates advanced technologies and numerous techniques,this study suggests that a combination of accounting and IT experts is a value added to sharpen the competitiveness of public sector *** study contributes to the extant literature in public sector,concerning the relationship between IT and accrual accounting adoption in the context of Jordan.

关键词： public sector accrual accounting adoption information technology Jordan

Beyond p-y method:A review of artificial intelligence approaches for predicting lateral capacity of drilled shafts in clayey soils

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Journal of Rock mechanics and Geotechnical engineering 2024年第9期16卷 3812-3840页

作者： m.e.Al-Atroush A.e.Aboelela ezz el-Din Hemdan Civil and environmental engineering Program Engineering Management DepartmentCollege of EngineeringPrince Sultan UniversityRiyadhSaudi Arabia Department of Structural engineering Faculty of EngineeringAin Shams UniversityCairoEgypt Structure and materials Research Lab Prince Sultan UniversityRiyadhSaudi Arabia Computer Science and engineering Department Faculty of Electronic EngineeringMenoufia UniversityMenoufiaEgypt

In 2023,pivotal advancements in artificial intelligence(AI)have significantly *** that in mind,traditional methodologies,notably the p-y approach,have struggled to accurately model the complex,nonlinear soil-structure interactions of laterally loaded large-diameter drilled *** study undertakes a rigorous evaluation of machine learning(mL)and deep learning(DL)techniques,offering a comprehensive review of their application in addressing this geotechnical challenge.A thorough review and comparative analysis have been carried out to investigate various AI models such as artificial neural networks(ANNs),relevance vector machines(RVms),and least squares support vector machines(LSSVms).It was found that despite mL approaches outperforming classic methods in predicting the lateral behavior of piles,their‘black box'nature and reliance only on a data-driven approach made their results showcase statistical robustness rather than clear geotechnical insights,a fact underscored by the mathematical equations derived from these ***,the research identified a gap in the availability of drilled shaft datasets,limiting the extendibility of current findings to large-diameter *** extensive dataset,compiled from a series of lateral loading tests on free-head drilled shaft with varying properties and geometries,was introduced to bridge this *** paper concluded with a direction for future research,proposes the integration of physics-informed neural networks(PINNs),combining data-driven models with fundamental geotechnical principles to improve both the interpretability and predictive accuracy of AI applications in geotechnical engineering,marking a novel contribution to the field.

关键词： Laterally loaded drilled shaft load transfer and failure mechanisms Physics-informed neural networks(PINNs) P-y curves Artificial intelligence(AI) Dataset