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Evaluation of urea breath test as a diagnostic tool for Helicobacter pylori infection in adult dyspeptic patients

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World Journal of Gastroenterology 2024年第17期30卷 2302-2307页

作者： Zeinab Nabil Ahmed Said Asmaa Mohamed El-nasser Department of Medical Microbiology&Immunology Faculty of Medicine for Girls Al-Azhar UniversityNasr City 11754CairoEgypt

In this editorial,we discuss the article in the World Journal of *** article conducts a meta-analysis of the diagnostic accuracy of the urea breath test(UBT),a non-invasive method for detecting Helicobacter pylori(***)infection in *** is based on radionuclide-labeled *** methods,both invasive and non-invasive,are available for diagnosing *** infection,inclu-ding endoscopy with biopsy,serology for immunoglobulin titers,stool antigen analysis,and *** guidelines recommend UBTs as the primary choice for diagnosing *** infection and for reexamining after eradication *** is used to be the first choice non-invasive test due to their high accuracy,specificity,rapid results,and ***,its performance remains unaffected by the distribution of *** in the stomach,allowing a high flow of patients to be *** its widespread use,the performance characteristics of UBT have been inconsistently described and remain incompletely *** are two UBTs available with Food and Drug Administration approval:The 13C and 14C *** tests are affordable and can provide real-time *** may prefer the 13C test because it is non-radioactive,compared to 14C which uses a radioactive isotope,especially in young children and pregnant *** there was heterogeneity among the studies regarding the diagnostic accuracy of both UBTs,13C-UBT consistently outperforms the *** makes the 13C-UBT the preferred diagnostic ***,the provided findings of the meta-analysis emphasize the significance of precise considerations when choosing urea dosage,assessment timing,and measurement techniques for both the 13C-UBT and 14C-UBT,to enhance diagnostic precision.

关键词： Helicobacter pylori Urea breath test Diagnosis Diagnostic test accuracy Meta-analysis

Numerical Treatments for Crossover Cancer Model of Hybrid Variable-Order Fractional Derivatives

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1619-1645页

作者： nasser Sweilam Seham Al-Mekhlafi Aya Ahmed Ahoud Alsheri Emad Abo-Eldahab Mathematics Department Faculty of ScienceCairo UniversityGiza12613Egypt Mathematics Department Faculty of EducationSana’a UniversitySana’a1247Yemen Mathematics Department Faculty of ScienceHelwan UniversityCairo11795Egypt Department of Mathematics College of ScienceUniversity of BishaAl Namas67398-5644Saudi Arabia

In this paper,two crossover hybrid variable-order derivatives of the cancer model are ***ünwald-Letnikov approximation is used to approximate the hybrid fractional and variable-order fractional *** existence,uniqueness,and stability of the proposed model are *** Bashfourth’s fifth-step method with a hybrid variable-order fractional operator is developed to study the proposed *** studies with generalized fifth-order Runge-Kutta method are *** examples and comparative studies to verify the applicability of the used methods and to demonstrate the simplicity of these approximations are *** have showcased the efficiency of the proposed method and garnered robust empirical support for our theoretical findings.

关键词： Cancer diseases hybrid variable-order fractional derivatives adams bashfourth fifth step generalized fifth order Runge-Kutta method

A Hybrid Classification and Identification of Pneumonia Using African Buffalo Optimization and CNN from Chest X-Ray Images

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2497-2517页

作者： nasser Alalwan Ahmed I.Taloba Amr Abozeid Ahmed Ibrahim Alzahrani Ali H.Al-Bayatti Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Information System Department Faculty of Computers and InformationAssiut UniversityAssiutEgypt Mathematics Department Faculty of ScienceAl-Azhar UniversityCairoEgypt Cyber Technology Institute(CTI) De Montfort UniversityLeicesterUK

An illness known as pneumonia causes inflammation in the *** there is so much information available fromvarious X-ray images,diagnosing pneumonia has typically proven *** improve image quality and speed up the diagnosis of pneumonia,numerous approaches have been *** date,several methods have been employed to identify *** Convolutional Neural Network(CNN)has achieved outstanding success in identifying and diagnosing diseases in the fields of medicine and ***,these methods are complex,inefficient,and imprecise to analyze a big number of *** this paper,a new hybrid method for the automatic classification and identification of Pneumonia from chest X-ray images is *** proposed method(ABOCNN)utilized theAfrican BuffaloOptimization(ABO)algorithmto enhanceCNNperformance and *** Weinmed filter is employed for pre-processing to eliminate unwanted noises from chest X-ray images,followed by feature extraction using the Grey Level Co-Occurrence Matrix(GLCM)*** features are then selected from the dataset using the ABO algorithm,and ultimately,high-performance deep learning using the CNN approach is introduced for the classification and identification of *** results on various datasets showed that,when contrasted to other approaches,the ABO-CNN outperforms them all for the classification *** proposed method exhibits superior values like 96.95%,88%,86%,and 86%for accuracy,precision,recall,and F1-score,respectively.

关键词： African buffalo optimization convolutional neural network pneumonia X-ray

靶向白细胞介素1β纳米抗体的制备及其对缺氧小鼠心肌细胞凋亡的影响

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中华医学杂志 2024年第22期104卷 2066-2073页

作者：欧阳情王露 nasser Moussa Ide 邓刚张新奎游婷苏浩滔朱平华南理工大学医学院广州广东省心血管病研究所南方医科大学附属广东省人民医院(广东省医学科学院)广东省心脏病发病机制与精准防治重点实验室广州市心脏发病机制与重点防治重点实验室广州

目的制备抗白细胞介素1β(IL-1β)纳米抗体, 并观察其对缺氧小鼠心肌细胞凋亡的影响。方法利用DNA重组技术, 使用pET-16b和pHEN1表达载体构建抗IL-1β纳米抗体的重组质粒(pET-16b-4G6M-VHH、pET-16b-5BVP-VHH、pET-16b-5MVZ-VHH和pHEN1-... 详细信息

目的制备抗白细胞介素1β(IL-1β)纳米抗体, 并观察其对缺氧小鼠心肌细胞凋亡的影响。方法利用DNA重组技术, 使用pET-16b和pHEN1表达载体构建抗IL-1β纳米抗体的重组质粒(pET-16b-4G6M-VHH、pET-16b-5BVP-VHH、pET-16b-5MVZ-VHH和pHEN1-4G6M-VHH、pHEN1-5BVP-VHH、pHEN1-5MVZ-VHH, 其中VHH为重链单域抗体, 4G6M-VHH、5BVP-VHH、5MVZ-VHH分别为3种抗IL-1β的纳米抗体), 将构建成功的质粒分别转入大肠杆菌Rosetta2(DE3)表达菌中进行诱导表达及镍柱纯化, 用十二烷基硫酸钠-聚丙烯酰胺凝胶电泳(SDS-PAGE)和Western印迹对表达产物及纯化产物进行鉴定, 并通过酶联免疫吸附试验(ELISA)测定其亲和力。将纯化所得亲和力最高的抗IL-1β纳米抗体(pHEN1-5MVZ-VHH)应用于小鼠HL-1心肌细胞缺氧模型(分为正常对照组、缺氧模型组、空白质粒组及12.5、25.0、50.0 μg/ml pHEN1-5MVZ-VHH处理组), 并检测细胞存活率及凋亡率。结果 SDS-PAGE和Western印迹结果显示, 成功得到相对分子质量约15 000的抗IL-1β纳米抗体;ELISA结果显示, 与pET-16b载体组相比, pHEN1载体组所表达的纳米抗体与IL-1β抗原的亲和力更高(4G6M-VHH组:3.20±0.03比1.20±0.03, P<0.001;5BVP-VHH组:3.18±0.06比1.21±0.02, P<0.001;5MVZ-VHH组:3.38±0.05比1.62±0.04, P<0.001);细胞存活及凋亡检测结果显示, 与缺氧模型组相比, 25.0 μg/ml及50.0 μg/ml pHEN1-5MVZ-VHH处理组HL-1细胞活性增加[(75.55±2.23)%比(46.90±2.51)%, P<0.001;(74.36±1.96)%比(46.90±2.51)%, P<0.001], 凋亡率降低[(6.83±0.27)%比(10.24±0.76)%, P<0.001;(6.68±0.38)%比(10.24±0.76)%, P<0.001]。结论 pET-16b和pHEN1载体均能表达出抗IL-1β纳米抗体, 且pHEN1载体表达的纳米抗体具有更好的抗原亲和作用。此外, pHEN1-5MVZ-VHH治疗可减少缺氧小鼠心肌细胞凋亡。

关键词：缺氧心肌细胞细胞凋亡白细胞介素1β 纳米抗体原核表达

Dynamics of Non-Markovianity, Quantum Correlations and Information Scrambling of Three Qubits Systems Interacting via Rashba Interaction

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Journal of Quantum Information Science 2024年第2期14卷 52-67页

作者： nasser Metwally Fawzeya Ebrahim Department of Mathematics College of Science University of Bahrain Zallaq Bahrain Department of Mathematics Aswan University Aswan Egypt

The behavior of the quantum correlations, information scrambling and the non-Markovianity of three entangling qubits systems via Rashba is discussed. The results showed that, the three physical quantities oscillate between their upper and lower bounds, where the number of oscillations increases as the Rashba interaction strength increases. The exchanging rate of these three quantities depends on the Rashba strength, and whether the entangled state is generated via direct/indirect interaction. Moreover, the coherence parameter can be used as a control parameter to maximize or minimize the three physical quantities.

关键词： Markovianity Correlations Rashba Interaction Scrambling Information

Wastewater Decontamination from Microorganisms by Electrospraying Corona Discharge

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Journal of Modern Physics 2013年第12期4卷 1632-1637页

作者： Mohamed Elsawah Mohamed Ali Safwat Hassaballah nasser morgan Ahmed Samir Farouk Elakshar Abdou Garamoon 1Center of Plasma Technology Al Azhar University Cairo Egypt 2Physics Department Faculty of Science Al-Azhar University Cairo Egypt Botany and Microbiology Department Faculty of Science Al-Azhar University Cairo Egypt Center of Plasma Technology Al Azhar University Cairo Egypt

A novel water treatment technique, based on a combination of electrospraying and pulsed corona discharge, has been used for bio-decontamination of wastewater. The electrospraying process has been found to increase the surface area of the treated wastewater, and hence increases the efficiency of the corona treatment process. The phase diagram of the discharge, which characterizes the discharge regimes, has been identified experimentally. The survival ratio of the microorganisms has been investigated experimentally as a function of the applied voltage and the numbers of treatment runs using air and oxygen as working gases. Microorganism surface has been examined using scanning electron microscope (SEM), which enabled in understanding the decontamination mechanisms of the treated microorganism. A complete decontamination has been achieved after only one run for an applied voltage higher than 16 kV when the discharge system was operated in oxygen gas. Optical emission spectrum of the electrosprayed water confirmed the existence of OH-radicals responsible for decontamination process.

关键词： Wastewater Decontamination Electrospraying Pulsed Corona Discharge Low Temperature Plasma for Biodecontaination Environmental Applications of Plasmas Wastewater Treatment

采用金属镓层氮化技术在石英衬底上生长多晶GaN

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真空科学与技术 2003年第2期23卷 120-122页

作者：邵庆辉叶志镇 nasser N.morgan 顾星黄靖云赵炳辉浙江大学硅材料国家重点实验室杭州310027

随着多晶GaN材料发光研究的不断深入 ,大面积、价格低廉的多晶GaN基光电器件的研制已成为工业生产中一个重要的研究领域。石英玻璃以其自身特有的优势 ,成为生长多晶GaN材料的较为理想的衬底。本文采用一种新的金属镓层氮化技术 ,使用... 详细信息

随着多晶GaN材料发光研究的不断深入 ,大面积、价格低廉的多晶GaN基光电器件的研制已成为工业生产中一个重要的研究领域。石英玻璃以其自身特有的优势 ,成为生长多晶GaN材料的较为理想的衬底。本文采用一种新的金属镓层氮化技术 ,使用无定形石英作衬底 ,在常压下制备出多晶GaN。经分析测试表明 ,生长出的多晶GaN为六方结构且质量较好。

关键词：石英衬底镓层氮化技术金属 GaN 氮化镓半导体多晶材料

Security Monitoring and Management for the Network Services in the Orchestration of SDN-NFV Environment Using Machine Learning Techniques

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Computer Systems Science & Engineering 2024年第2期48卷 363-394页

作者： nasser Alshammari Shumaila Shahzadi Saad Awadh Alanazi Shahid Naseem Muhammad Anwar Madallah Alruwaili Muhammad Rizwan Abid Omar Alruwaili Ahmed Alsayat Fahad Ahmad Department of Computer Science College of Computer and Information SciencesJouf UniversitySakakaAl Jouf72341Saudi Arabia Department of Computer Sciences Kinnaird College forWomenLahorePunjab54700Pakistan Department of Information Sciences Division of Sciences and TechnologyUniversity of EducationLahore54770Pakistan Department of Computer Engineering and Networks College of Computer and Information SciencesJouf UniversitySakaka72341Saudi Arabia Computer Science Florida Polytechnic UniversityLakelandFlorida33805USA Delta3T LahorePunjab54700Pakistan Department of Basic Sciences Common First YearJouf UniversitySakaka72341Saudi Arabia

Software Defined Network(SDN)and Network Function Virtualization(NFV)technology promote several benefits to network operators,including reduced maintenance costs,increased network operational performance,simplified network lifecycle,and policies *** vulnerabilities try to modify services provided by Network Function Virtualization MANagement and Orchestration(NFV MANO),and malicious attacks in different scenarios disrupt the NFV Orchestrator(NFVO)and Virtualized Infrastructure Manager(VIM)lifecycle management related to network services or individual Virtualized Network Function(VNF).This paper proposes an anomaly detection mechanism that monitors threats in NFV MANO and manages promptly and adaptively to implement and handle security functions in order to enhance the quality of experience for end *** anomaly detector investigates these identified risks and provides secure network *** enables virtual network security functions and identifies anomalies in Kubernetes(a cloud-based platform).For training and testing purpose of the proposed approach,an intrusion-containing dataset is used that hold multiple malicious activities like a Smurf,Neptune,Teardrop,Pod,Land,IPsweep,etc.,categorized as Probing(Prob),Denial of Service(DoS),User to Root(U2R),and Remote to User(R2L)*** anomaly detector is anticipated with the capabilities of a Machine Learning(ML)technique,making use of supervised learning techniques like Logistic Regression(LR),Support Vector Machine(SVM),Random Forest(RF),Naïve Bayes(NB),and Extreme Gradient Boosting(XGBoost).The proposed framework has been evaluated by deploying the identified ML algorithm on a Jupyter notebook in Kubeflow to simulate Kubernetes for validation *** classifier has shown better outcomes(99.90%accuracy)than other classifiers in detecting anomalies/intrusions in the containerized environment.

关键词： Software defined network network function virtualization network function virtualization management and orchestration virtual infrastructure manager virtual network function Kubernetes Kubectl artificial intelligence machine learning

Experimental Study of Electric and Spectroscopic Characteristics of Electric Discharge in LPG

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Journal of Modern Physics 2014年第15期5卷 1450-1458页

作者： Ahmed Abd Elradi nasser N. morgan Sobhy Ghalab Mansour Elsabagh Safwat Hassaballa Ahmed Samir Farouk F. Elakshar Abdou A. Garamoon Center of Plasma Technology Al Azhar University Cairo Egypt

Electric discharge has been carried out in LPG using DC high voltage (0.4 - 3 KV) at gas pressure in the range of 1 to 25 torr. The electric and spectroscopic characteristics of the discharge were studied at different discharge conditions. Deviations from Paschen’s law were observed as a result of the change of the distance between the two the electrodes. Two discharge modes, namely glow discharge and spark discharge modes, has been observed in the discharge current waveforms. The discharge current waveforms indicate a repetitive pulsed behaviour with frequencies of 5 kHz to 5 MHz depending upon the applied voltage and the gas pressure. The emitted spectra from the discharge are also studied near both the cathode and the anode using different electrode materials. Hα line and C2 Swan band system are observed, which confirms the conversion of LPG to hydrogen and carbon clusters.

关键词： Liquefied Petroleum Gas Electric Discharge Hydrogen Production Propane Decomposition Butane Decomposition