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Recyclable Fenton-like catalyst based on zeolite Y supported ultrafine,highly-dispersed Fe_2O_3 nanoparticles for removal of organics under mild conditions

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中国化学快报：英文版 2019年第2期30卷 324-330页

作者： Xuanyu Yang Xiaowei Cheng Ahmed A.Elzatahry Jinyang Chen abdulaziz Alghamdi Yonghui Deng Department of Chemistry State Key Laboratory of Molecular Engineering of Polymers Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials iChEM (Collaborative Innovation Center of Chemistry for Energy Materials) Fudan University Materials Science and Technology Program College of Arts and Sciences Qatar University School of Environmental and Chemical Engineering Shanghai University Department of Chemistry College of Science King Saud University State Key Lab of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences

A versatile wet impregnation method was employed to conveniently and controllably deposit Fe_2O_3 nanoparticles on zeolites including commercial Y, mordenite and ZSM-5 with the similar framework Si/Al ratios and crystal sizes, respectively. The ultrafine Fe_2O_3 nanoparticles in size of 5 nm can be highly dispersed on zeolite Y matrix due to its much better wettability than ZSM-5 and mordenite. By using the obtained Fe_2O_3/zeolite composite as the heterogeneous Fenton-like catalysts, the degradation of phenol as a model reaction was systematically investigated, including the zeolite supports, particle size and dispersion of Fe_2O_3, and reaction conditions of H_2O_2 concentration, temperature, and pH value. The catalyst based on zeolite Y with Fe loading of 9% exhibited the best phenol degradation efficiency (> 90%)in neutral pH within 2 h. Its high catalytic activity in Fenton reaction can be attributed to the bifunctional properties of strong surface BrФnsted acidity and high reactivity of octahedral Fe^(3+) in the highlydispersed ultrafine Fe_2O_3 nanoparticles in size of 5 nm, which were the primary active centers to quickly decompose H_2O_2 into hydroxyl radicals. Since phenol degradation can be performed under mild conditions of ambient temperature (283-323 K) and a wide pH range (4.0-7.0), the catalysts can be easily recovered for recyclable use with stable degradation activity, which own the immense potential in deep treatment of organic pollutants in industrial wastewater.

关键词： Fenton-like reaction Zeolite Fe2O3 nanoparticles Highly-dispersed Phenol degradation

Clinicopathologic Significance and Treatment of ASC-US in Cervical Cytology

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Clinicopathologic Significance and Treatment of ASC-US in Ce...

作者： Asrar Mohammed Abdullah abdulaziz 山东大学

学位级别：硕士

在中国,宫颈癌是最常见的妇科恶性肿瘤之一。宫颈细胞学是筛查宫颈癌和宫颈上皮内瘤变（CIN）必不可少的方法,筛查结果中最常见的宫颈细胞学异常是ASC-US（意义不明的非典型鳞状细胞）。目前中国由于缺乏经验丰富的细胞学医生,ASC-US患... 详细信息

在中国,宫颈癌是最常见的妇科恶性肿瘤之一。宫颈细胞学是筛查宫颈癌和宫颈上皮内瘤变（CIN）必不可少的方法,筛查结果中最常见的宫颈细胞学异常是ASC-US（意义不明的非典型鳞状细胞）。目前中国由于缺乏经验丰富的细胞学医生,ASC-US患者的最终病理结果与国外有很大差异。因此,临床医生对ASC-US的处理有不同的意见。在中国如何有效处理细胞学为ASC-US的患者已成为学者关注的焦点。目的:分析山东大学齐鲁医院妇科门诊近年来ASC-US的最终组织病理学结果,临床病理学意义和目前相关治疗处理的合理性。方法:选择2010年1月至2015年12月在山东大学齐鲁医院妇科门诊就诊的所有首次细胞学结果为ASC-US的患者。ASC-US细胞学的数据来自临床记录,并进行回顾性评估,获得患者年龄,高危HPV（DNA）结果,阴道镜检查和病理结果等临床资料。如果阴道镜检查发现可疑宫颈病变,则在阴道镜检查指导下进行直接活检,如果阴道镜检查没有发现可疑病变,则进行四象限活检和（或）宫颈管搔刮术。结果:我们总共对1246例首次细胞学诊断为ASC-US的患者进行统计分析。患者平均年龄为41.6岁,年龄在40-49岁之间占本研究中所有ASC-US女性的38.52%。我们研究中的所有患者均接受了HPVDNA检测。总体而言,高危型HPV阳性率为67.1%,高危型HPV阴性率为32.8%。根据ASC-US细胞学检查后的最终组织病理学结果,在所有病例中,有31.5%的患有CIN,包括15.9%的CIN1,15.56%≥CIN2+,并且有1.1%的病例是通过宫颈活检确定为浸润性癌的。浸润性癌患者与HPV16+和HPV18+相关。ASC-US/高危HPV+组中CIN2+≥的检出率为53.9%,阴性预测值（NPV）为100%。我们的研究结果表明,≥CIN2+的最终病理结果与阴道镜检查一致符合率为77%,阴道镜诊断（≥CIN2+）的敏感性和的特异性分别为 91.1%和 96.1%。结论:在我们的研究中,我们发现宫颈细胞学结果为ASC-US的女性病理结果不确定性很高,其中CIN占了很大一部分。ASC-US可以作为高级别CIN或宫颈癌的初级提示。在中国,HPVDNA检测分类对ASC-US患者是一种有用的分流措施,而即时阴道镜检查是处理ASC-US细胞学的一种重要策略,可以提高对高级别宫颈病变或浸润性癌症的检出率。

关键词： ASC-US CIN HPV 阴道镜检查活检

Automatic License Plate Recognition System for Vehicles Using a CNN

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Computers, Materials & Continua 2022年第4期71卷 35-50页

作者： Parneet Kaur Yogesh Kumar Shakeel Ahmed abdulaziz Alhumam Ruchi Singla Muhammad Fazal Ijaz Department of Computer Science Chandigarh Group of CollegesLandran140307India Department of Computer Science College of Computer Sciences and Information TechnologyKing Faisal UniversityAl-AhsaSaudi Arabia Department of Research InnovationsSponsored Projects&EntrepreneurshipChandigarh Group of CollegesLandran140307India Department of Intelligent Mechatronics Engineering Sejong UniversitySeoul05006Korea

Automatic License Plate Recognition(ALPR)systems are important in Intelligent Transportation Services(ITS)as they help ensure effective law enforcement and *** systems play a significant role in border surveillance,ensuring safeguards,and handling vehicle-related *** most effective approach for implementing ALPR systems utilizes deep learning via a convolutional neural network(CNN).A CNN works on an input image by assigning significance to various features of the image and differentiating them from each *** are popular for license plate character ***,little has been reported on the results of these systems with regard to unusual varieties of license plates or their success at *** present an efficient ALPR system that uses a CNN for character recognition.A combination of pre-processing and morphological operations was applied to enhance input image quality,which aids system *** system has various features,such as the ability to recognize multi-line,skewed,and multifont license *** also works efficiently in night mode and can be used for different vehicle *** overall accuracy of 98.13%was achieved using the proposed CNN technique.

关键词： Deep learning intelligent transportation services morphological convolutional neural network accuracy

Sulfonic acid-functionalized core-shell Fe_(3)O_(4)@carbon microspheres as magnetically recyclable solid acid catalysts

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Chinese Chemical Letters 2021年第6期32卷 2079-2085页

作者： Chenyi Yuan Xiqing Wang Xuanyu Yang abdulaziz AAlghamdi Fahad AAlharthi Xiaowei Cheng Yonghui Deng Department of Chemistry State Key Laboratory of Molecular Engineering of PolymersShanghai Key Laboratory of Molecular Catalysis and Innovative MaterialsFudan UniversityShanghai 200433China State Key Lab of Transducer Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China Department of Chemistry College of ScienceKing Saud UniversityPO Box 2455Riyadh 11451Saudi Arabia

Green and recyclable solid acid catalysts are in urgent demand as a substitute for conventional liquid mineral *** this work,a series of novel sulfonic acid-functionalized core-shell Fe_(3)O_(4)@carbon microspheres(Fe_(3)O_(4)@C-SO_(3)H)have been designed and synthesized as an efficient and recyclable heterogeneous acid *** the synthesis,core-shell Fe_(3)O_(4)@RF(resorcinol-formaldehyde)microspheres with tunable shell thickness were achieved by interfacial polymerization on magnetic Fe_(3)O_(4)*** high-temperature carbonization,the microspheres were eventually treated by surface sulfonation,re sulting in Fe_(3)O_(4)@C-x-SO_(3)H(x stands for carbonization temperature)microspheres with abundant surface SO_(3)H *** obtained microspheres possess uniform core-shell structure,partially-graphitized carbon skeletons,superparamagnetic property,high magnetization saturation value of 10.6 emu/g,and rich SO_(3)H *** surface acid amounts can be adju sted in the range of 0.59-1.04 mmol/g via sulfonation treatment of carbon shells with different graphitization *** magnetic Fe_(3)O_(4)@C-x-SO_(3)H microspheres were utilized as a solid acid catalyst for the acetalization reaction between benzaldehyde and ethylene glycol,demonstrating high selectivity(97%)to benzaldehyde ethylene glycol *** importantly,by applying an external magnetic field,the catalysts can be easily separated from the heterogeneous reaction solutions,which later show well preserved catalytic activity even after 9 cycles,revealing good recyclability and high stability.

关键词： Core-shell Fe_(3)O_(4)@carbon Interfacial polymerization Magnetic microspheres Recyclability Solid acid catalyst Sulfonic acid-functionalization

An AW-HARIS Based Automated Segmentation of Human Liver Using CT Images

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Computers, Materials & Continua 2021年第12期69卷 3303-3319页

作者： P.Naga Srinivasu Shakeel Ahmed abdulaziz Alhumam Akash Bhoi Kumar Muhammad Fazal Ijaz Department of Computer Science and Engineering GITAM Institute of TechnologyGITAM Deemed to be UniversityVisakhapatnam530045India Department of Computer Science College of Computer Sciences and Information TechnologyKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Electrical and Electronics Engineering Sikkim Manipal Institute of TechnologySikkim Manipal UniversityMajitar737136India Department of Intelligent Mechatronics Engineering Sejong UniversitySeoul05006Korea

In the digestion of amino acids,carbohydrates,and lipids,as well as protein synthesis from the consumed food,the liver has many diverse responsibilities and functions that are to be *** disease may impact the hormonal and nutritional balance in the human *** earlier diagnosis of such critical conditions may help to treat the patient effectively.A computationally efficient AW-HARIS algorithm is used in this paper to perform automated segmentation of CT scan images to identify abnormalities in the human *** proposed approach can recognize the abnormalities with better accuracy without training,unlike in supervisory procedures requiring considerable computational efforts for *** the earlier stages,the CT images are pre-processed through an Adaptive Multiscale Data Condensation Kernel to normalize the underlying noise and enhance the image’s contrast for better ***,the preliminary phase’s outcome is being fed as the input for the Anisotropic Weighted—Heuristic Algorithm for Real-time Image Segmentation algorithm that uses texture-related information,which has resulted in precise outcome with acceptable computational latency when compared to that of its *** is observed that the proposed approach has outperformed in the majority of the cases with an accuracy of 78%.The smart diagnosis approach would help the medical staff accurately predict the abnormality and disease progression in earlier ailment stages.

关键词： CT image automated segmentation HARIS anisotropic weighted social group optimization

Estimating the Impact of COVID-19 Pandemic on the Research Community in the Kingdom of Saudi Arabia

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Computer Modeling in Engineering & Sciences 2021年第1期126卷 419-436页

作者： abdulaziz Attaallah Masood Ahmad Adil Hussain Seh Alka Agrawal Rajeev Kumar Raees Ahmad Khan Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Computer Application Shri Ramswaroop Memorial UniversityBarabanki225003India

Ever since its outbreak inWuhan,COVID-19 has cloaked the entireworld in a pall of despondency and *** present study describes the exploratory analysis of all COVID cases in Saudi ***,the study has executed the forecastingmodel for predicting the possible number of COVID-19 cases in Saudi Arabia till a defined *** this intent,the study analyzed different age groups of patients(child,adult,elderly)who were affected by *** analysis was done city-wise and also included the number of recoveries recorded in different ***,the study also discusses the impact of COVID-19 on the *** conducting the stated analysis,the authors have created a list of factors that are known to cause the spread of *** an effective countermeasure to contain the spread of Coronavirus in Saudi Arabia,this study also proposes to identify the most effective Computer Science technique that can be used by healthcare *** this,the study employs the Fuzzy-Analytic Hierarchy Process integrated with the Technique for Order Performance by Similar to Ideal Solution(***).After prioritizing the various Computer Science techniques,the ranking order that was obtained for the different techniques/tools to contain COVID-19 was:A4>A1>A2>A5>*** the Blockchain technique obtained the highest priority,the study recommends that it must be used extensively as an efficacious and accurate means to combat COVID-19.

关键词： Coronavirus social impact safety precautions fuzzy-AHP.TOPSIS block-chain technique COVID-19 monitoring

The prevalence,characteristics and outcome of seizure in tuberculous meningitis

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Acta Epileptologica 2020年第1期2卷 1-9页

作者： Ammar Taha Abdullah abdulaziz Jinmei Li Dong Zhou Department of Neurology West China HospitalSichuan University37 Guo Xue Xiang stChengdu 610041China. Faculty of Brain Sciences UCL Queen Square Institute of NeurologyLondon WC1N 3BGUK.

Seizures are a common finding in patients with tuberculous meningitis(TBM),and associate with four times increased risk of death and neurological disability,especially in *** has been reported that brain inflammation,diffuse neuronal injury,and reactive gliosis may all contribute to the pathogenesis of seizures in *** seizure onset may be associated with meningeal irritation and cerebral oedema;while,the late seizures are usually due to infarction,hydrocephalus,tuberculoma and paradoxical ***,recurrent uncontrolled seizures can evolve to status epileptics resulting in an increased risk of chronic epilepsy and poor ***,this review aimed to assess the frequency of seizures in patients with TBM,and discuss the etiologies,mechanisms,and characteristics of seizures in ***,we have searched the literature to identify the prognostic factors for chronic epilepsy after TBM.

关键词： Seizure Tuberculous meningitis Neuronal injury Epilepsy

Synthesis, characterization, biological activities and luminescent properties of lanthanide complexes with [2-thiophenecarboxylic acid, 2-(2-pyridinylmethylene)hydrazide] Schiff bases ligand

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Journal of Rare Earths 2016年第10期34卷 986-993页

作者： abdulaziz M.Ajlouni Qutaiba Abu-Salem Ziyad A.Taha Ahmed K.Hijazi Waleed Al Momani Department of Applied Chemical Sciences Jordan University of Science and Technology Department of Chemistry Faculty of Science Al al-Bayt University Department of Basic Medical Sciences Faculty of Medicine Yarmouk University

A Schiff base L [2-thiophenecarboxylic acid, 2-（2-pyridinylmethylene）hydrazide] with its lanthanide metal complexes was synthesized. These complexes were characterized by elemental analysis, molar conductivity measurements, spectral analysis（NMR, FT-IR, and UV-Vis）, luminescence and thermal gravimetric analysis. The Schiff base ligand was a tridentate chelate and coordinates to the central lanthanide ion with 1：2 metal：ligand ratio. The conductivity data showed a 1：1 electrolytic nature with a general formula [LnL_2（NO_3）_2]NO_3. The luminescence emission properties for Sm, Tb, and Eu complexes were observed and showed that the ligand L could absorb and transfer energy to Sm（III）, Tb（III） and Eu（III） ions. The complexes possessed a good antibacterial activity against different bacterial strains. In addition, the scavenging activity of the Ln（III） complexes on DPPH was concentration dependant and the complexes were significantly more efficient in quenching DPPH than the free Schiff base ligand.

关键词： hydrazone lanthanides complexes luminescence properties antibacterial activity rare earths

Enhanced Marathi Speech Recognition Facilitated by Grasshopper Optimisation-Based Recurrent Neural Network

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Computer Systems Science & Engineering 2022年第11期43卷 439-454页

作者： Ravindra Parshuram Bachate Ashok Sharma Amar Singh Ayman AAly abdulaziz HAlghtani Dac-Nhuong Le School of Computer Science and Engineering Lovely Professional UniversityPunjab144001India Department of Computer Science and IT University of JammuJammu and Kashmir180006India School of Computer Applications Lovely Professional UniversityPunjab144001India Department of Mechanical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia School of Computer Science Duy Tan UniversityDanang550000Vietnam Institute of Research and Development Duy Tan UniversityDanang550000Vietnam

Communication is a significant part of being human and living in the *** kinds of languages and their variations are there;thus,one person can speak any language and cannot effectively communicate with one who speaks that language in a different *** application fields such as education,mobility,smart systems,security,and health care systems utilize the speech or voice recognition models ***,various studies are focused on the Arabic or Asian and English languages by ignoring other significant languages like Marathi that leads to the broader research motivations in regional *** is necessary to understand the speech recognition field,in which the major concentrated stages are feature extraction and *** paper emphasis developing a Speech Recognition model for the Marathi language by optimizing Recurrent Neural Network(RNN).Here,the preprocessing of the input signal is performed by smoothing and median *** preprocessing the feature extraction is carried out using MFCC and Spectral features to get precise features from the input Marathi Speech *** optimized RNN classifier is used for speech recognition after completing the feature extraction task,where the optimization of hidden neurons in RNN is performed by the Grasshopper Optimization Algorithm(GOA).Finally,the comparison with the conventional techniques has shown that the proposed model outperforms most competing models on a benchmark dataset.

关键词： Deep learning grasshopper optimization algorithm recurrent neural network speech recognition word error rate