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Detection of virulent strains of Helicobacter pylori and its relation to symptoms and signs in children

Asian Pacific Journal of Tropical Medicine 2010年第1期3卷 59-62页

作者： Fayed s abd el dayem s Hussein H sherief M el-Naghi s Pediatric Department Al Azhar University Pediatric Department National Research Centre Microbiology Department Al Azhar University Pediatric Department National Hepatology and Tropical Medicine Research

Objective:To detect the prevalence of Helicobacter polori(***) in a group of pediatric patients complaining of gastrointestinal disorders,and to identify the virulent strains of H. pylori and its relation to peptic ***:The study included 60 patients(41 males and 19 females),aged from 6 months to 14 years,with complaining of different gastrointestinal *** IgG antibodies were *** examination of the oesophagus, stomach and duodenum was done in all patients using a fibreoptic *** addition, gastric antral biopsies were taken for diagnosis of *** infection in the following test: rapid urease test,histopathologic examination and *** cytotoxin assay of virulent strains was *** infection was diagnosed if 3 or more tests for diagnosis were found to be ***:33 out of 60 patients(55%) was positive.12(20%) patients had positive toxin producing strains(virulent strains).Virulent strain had a significantly closer relationship with recurrent abdominal pain,while no difference was found in other symptoms. Age of patients showed a highly significant positive correlation with virulent *** strain. Histopathological finding revealed that oesophagitis was significandy common in patients with negative *** and histopathological findings revealed that virulent strain had a significandy higher gastritis and oesophagitis ***:Infection by virulent strains of *** in children is not uncommon:It is associated with endoscopic and histopathologic *** cases infected with virulent strain showed positive results by using rapid urease test,culture and IgG antibodies.

关键词： Helicobacter pylori IgG antibody Pediatric Gastrointestinal disorder

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Optimization of Cooperative RelayingMolecular Communications for Nanomedical Applications

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Computer Modeling in Engineering & sciences 2024年第2期138卷 1259-1275页

作者： Eman s.Attia Ashraf A.M.Khalaf Fathi E.abd el-samie saied M.abd el-atty Konstantinos A.Lizos Osama Alfarraj Heba M.el-Hoseny Department of electrical Engineering Faculty of EngineeringMinia UniversityMinia61111Egypt Department of electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Informatics Faculty of Mathematics and Natural SciencesUniversity of Oslo(UiO)OsloNorway Computer science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Department of Computer science The Higher Future Institute for Specialized Technological StudiesEl ShoroukEgypt

Recently,nano-systems based on molecular communications via diffusion(MCvD)have been implemented in a variety of nanomedical applications,most notably in targeted drug delivery system(TDDs)***,because the MCvD is unreliable and there exists molecular noise and inter symbol interference(IsI),cooperative nano-relays can acquire the reliability for drug delivery to targeted diseased cells,especially if the separation distance between the nano transmitter and nano receiver is *** this work,we propose an approach for optimizing the performance of the nano system using cooperative molecular communications with a nano relay scheme,while accounting for blood flow effects in terms of drift *** fractions of the molecular drug that should be allocated to the nano transmitter and nano relay positioning are computed using a collaborative optimization problem solved by theModified Central Force Optimization(MCFO)*** the previous work,the probability of bit error is expressed in a closed-form *** is used as an objective function to determine the optimal velocity of the drug molecules and the detection threshold at the nano *** simulation results show that the probability of bit error can be dramatically reduced by optimizing the drift velocity,detection threshold,location of the nano-relay in the proposed nano system,and molecular drug budget.

关键词： Nanomedical system molecular communication cooperative relay optimization

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Pyronaridine combined with diminazene aceturate inhibits Babesia in vitro and in vivo

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Asian Pacific Journal of Tropical Biomedicine 2024年第3期14卷 93-99页

作者： shimaa abd el-salam el-sayed Mohamed Z.sayed-Ahmed shaimaa Ahmed Awad Ali Nourah Alsadaan Nawazish Alam Mahmoud s.Alkhoudary Ikuo Igarashi Mohamed abdo Rizk National Research Center for Protozoan Diseases Obihiro University of Agriculture and Veterinary MedicineInada-ChoObihiroHokkaido 080-8555Japan Department of Biochemistry and Chemistry of Nutrition Faculty of Veterinary MedicineMansoura UniversityMansoura 35516Egypt Department of Clinical Pharmacy College of PharmacyJazan UniversityJazan 45142Saudi Arabia Medical-surgical Department College of NursingJouf UniversitySakaka 72388Saudi Arabia Critical Care and Emergency Nursing Faculty of NursingMansoura UniversityEgypt College of Nursing Jouf UniversitySakaka 72388Saudi Arabia Faculty of Pharmacy Mansoura UniversityMansoura 35516DakahliaEgypt Department of Internal Medicine and Infectious Diseases Faculty of Veterinary MedicineMansoura UniversityMansoura 35516Egypt

Objective:To evaluate the combination therapy of pyronaridine tetraphosphate and diminazene aceturate against Babesia in vitro and in ***:Bioinformatic analysis was performed using atom pair *** in vitro combination test was performed against Babesia bovis and Theileria ***,the in vivo chemotherapeutic efficacy of pyronaridine tetraphosphate in combination with diminazene aceturate was investigated against the growth of Babesia microti in mice using a fluorescence inhibitory ***:Pyronaridine tetraphosphate and diminazene aceturate exhibited nearly similar molecular *** in vitro combination of pyronaridine tetraphosphate and diminazene aceturate was synergistic on Babesia bovis and additive on Theileria *** addition,5 mg/kg pyronaridine tetraphosphate combined with 10 mg/kg diminazene aceturate inhibited Babesia microti growth significantly compared with those observed after treatment with 25 mg/kg diminazene aceturate alone from day 6 post treatment to day 12 post *** combination therapy also normalized the hematological parameters of infected ***:An oral dose of pyronaridine tetraphosphate combined with a subcutaneous dose of diminazene aceturate inhibits Babesia in vitro and in mice,suggesting it might be a new paradigm for the treatment of babesiosis.

关键词： Babesia Pyronaridine tetraphosphate Diminazene aceturate Babesiosis Theileria

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Agmatine ameliorates diabetes type 2-induced nephropathy in rats

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Asian Pacific Journal of Tropical Biomedicine 2024年第1期14卷 8-16页

作者： Fatemah O.Kamel Ohoud shagroud Mai AAlim A.sattar Ahmad Gamal s abd el-Aziz abdulhadi s.Burzangi Duaa Bakhshwin Maha Jamal shahid Karim Department of Clinical Pharmacology Faculty of MedicineKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Anatomy Faculty of MedicineKing Abdulaziz UniversityJeddah 21589Saudi Arabia

Objective:To assess the nephroprotective potential of agmatine in a rat model of streptozotocin-induced diabetic ***:A single dose of streptozotocin(40 mg/kg)coupled with a fructose diet induced diabetes in Wistar ***(40 and 80 mg/kg)was administered to rats for 12 *** body weight and fasting blood glucose were measured *** level,urine output,total protein,albumin,blood urea nitrogen,creatinine,and cystatin-C were also determined at the end of the ***,superoxide dismutase,glutathione,interleukin-1β,interleukin-6,and tumor necrosis factor-alpha were evaluated in kidney *** study was also performed using hematoxylin and eosin ***:Agmatine at both doses significantly increased final body weight,and lowered fasting blood glucose,urine output,insulin,total protein,albumin,blood urea nitrogen,creatinine,and cystatin-C levels compared with the diabetic group(Ps and antioxidant effect were significantly improved in agmatine-treated ***,the histopathological changes in renal structure were ameliorated by agmatine ***:Agmatine alleviates diabetic nephropathy by improving renal functions and reducing inflammation and oxidative *** molecular mechanisms of its nephroprotective actions need to be investigated in future study.

关键词： Agmatine Type 2 diabetes Nephropathy Oxidative stress Nephroprotection

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A Robust Tuned Random Forest Classifier Using Randomized Grid search to Predict Coronary Artery Diseases

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Computers, Materials & Continua 2023年第5期75卷 4633-4648页

作者： sameh abd el-Ghany A.A.abd el-Aziz Department of Information systems College of Computer and Information SciencesJouf UniversityKSA Department of Information systems Faculty of Computers and InformationMansoura UniversityEgypt Department of Information systems and Technology Faculty of Graduate Studies for Statistical ResearchCairo UniversityEgypt

Coronary artery disease(CAD)is one of themost authentic cardiovascular afflictions because it is an uncommonly overwhelming heart *** breakdown of coronary cardiovascular disease is one of the principal sources of death all over *** deterioration is a challenge,especially in youthful and rural countries where there is an absence of humantrained *** heart diseases happen without apparent signs,high-level detection is *** paper proposed a robust and tuned random forest model using the randomized grid search technique to *** proposed framework increases the ability of CADpredictions by tracking down risk pointers and learning the confusing joint efforts between ***,the healthcare industry has a lot of data but needs to gain more *** proposed framework is used for extracting knowledge from data stores and using that knowledge to help doctors accurately and effectively diagnose heart disease(HD).We evaluated the proposed framework over two public databases,Cleveland and Framingham *** datasets were preprocessed by using a cleaning technique,a normalization technique,and an outlier detection ***,the principal component analysis(PCA)algorithm was utilized to lessen the feature dimensionality of the two ***,we used a hyperparameter tuning technique,randomized grid search,to tune a random forest(RF)machine learning(ML)*** randomized grid search selected the best parameters and got the ideal CAD *** proposed framework was evaluated and compared with traditional *** proposed framework’s accuracy,sensitivity,precision,specificity,and f1-score were 100%.The evaluation of the proposed framework showed that it is an unrivaled perceptive outcome with tuning as opposed to other ongoing existing frameworks.

关键词： Coronary artery disease tuned random forest randomized grid search classifier

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Efficient Deep CNN Model for COVID-19 Classification

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Computers, Materials & Continua 2022年第3期70卷 4373-4391页

作者： Walid el-shafai Amira A.Mahmoud el-sayed M.el-Rabaie Taha E.Taha Osama F.Zahran Adel s.el-Fishawy Mohammed abd-elnaby Fathi E.abd el-samie Department electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Coronavirus(COVID-19)infection was initially acknowledged as a global pandemic in Wuhan in *** Health Organization(WHO)stated that the COVID-19 is an epidemic that causes a 3.4%death *** X-Ray(CXR)and Computerized Tomography(CT)screening of infected persons are essential in diagnosis *** are numerous ways to identify positive COVID-19 *** of the fundamental ways is radiology imaging through CXR,or CT *** comparison of CT and CXR scans revealed that CT scans are more effective in the diagnosis process due to their high ***,automated classification techniques are required to facilitate the diagnosis *** Learning(DL)is an effective tool that can be utilized for detection and classification this type of medical *** deep Convolutional Neural Networks(CNNs)can learn and extract essential features from different medical image *** this paper,a CNN architecture for automated COVID-19 detection from CXR and CT images is *** activation functions as well as three optimizers are tested and compared for this *** proposed architecture is built from scratch and the COVID-19 image datasets are directly fed to train *** performance is tested and investigated on the CT and CXR *** activation functions:Tanh,sigmoid,and RelU are compared using a constant learning rate and different batch *** optimizers are studied with different batch sizes and a constant learning ***,a comparison between different combinations of activation functions and optimizers is presented,and the optimal configuration is ***,the main objective is to improve the detection accuracy of COVID-19 from CXR and CT images using DL by employing CNNs to classify medical COVID-19 images in an early *** proposed model achieves a classification accuracy of 91.67%on CXR image dataset,and a classification accuracy of 100%on CT dataset with training times of 58 min and 46 min on CXR an

关键词： COVID-19 image classification CNN DL activation functions optimizers

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Improved RC6 Block Cipher Based on Data Dependent Rotations

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Computers, Materials & Continua 2022年第1期70卷 1921-1934页

作者： Osama s.Faragallah Ibrahim F.elashry Ahmed AlGhamdi Walid el-shafai s.el-Rabaie Fathi E.abd el-samie Hala s.el-sayed Mohamed A.elaskily Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of electrical Communications Faculty of EngineeringKafrelsheikh UniversityKafrelsheikhEgypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom32511Egypt Department of Informatics Electronic Research Institute(ERI)CairoEgypt

This paper introduces an Improved RC6(IRC6)cipher for data encryption based on data-dependent *** proposed scheme is designed with the potential of meeting the needs of the Advanced Encryption standard(AEs).Four parameters are used to characterize the proposed *** parameters are the size of the word(w)in bits,the number of rounds(r),the length of the secret key(b)in bytes,and the size of the block(L)in *** main feature of IRC6 is the variable number of working registers instead of just four registers as in RC6,resulting in a variable block size for plaintext and *** IRC6 cipher is designed to improve the robustness against attacks by increasing the diffusion for each round and providing greater security with fewer *** effectiveness of the proposed IRC6 scheme is verified against theoretical *** proposed IRC6 scheme depends on full diffusion and confusion mechanisms regardless of the utilized block *** proposed IRC6 scheme saves 70%of the encryption time and 64%of the decryption time of *** simulation results prove that the IRC6 achieves a better encryption/decryption time compared to the ***,the proposed IRC6 is anticipated to fulfill the market needs and system security requirements.

关键词： Cryptography block cipher RC6,IRC6,AEs

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An Improved Convolutional Neural Network Model for DNA Classification

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Computers, Materials & Continua 2022年第3期70卷 5907-5927页

作者： Naglaa.F.soliman samia M.abd-Alhalem Walid el-shafai salah eldin s.E.abdulrahman N.Ismaiel el-sayed M.el-Rabaie Abeer D.Algarni Fathi E.abd el-samie Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Department of electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt Department of Computer science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt

Recently,deep learning(DL)became one of the essential tools in bioinformatics.A modified convolutional neural network(CNN)is employed in this paper for building an integratedmodel for deoxyribonucleic acid(DNA)*** any CNN model,convolutional layers are used to extract features followed by max-pooling layers to reduce the dimensionality of features.A novel method based on downsampling and CNNs is introduced for feature *** downsampling is an improved form of the existing pooling layer to obtain better classification *** two-dimensional discrete transform(2D DT)and two-dimensional random projection(2D RP)methods are applied for *** convert the high-dimensional data to low-dimensional data and transform the data to the most significant feature ***,there are parameters which directly affect how a CNN model is *** this paper,some issues concerned with the training of CNNs have been *** CNNs are examined by changing some hyperparameters such as the learning rate,size of minibatch,and the number of *** and assessment of the performance of CNNs are carried out on 16s rRNA bacterial *** results indicate that the utilization of a CNN based on wavelet subsampling yields the best trade-off between processing time and accuracy with a learning rate equal to 0.0001,a size of minibatch equal to 64,and a number of epochs equal to 20.

关键词： DNA classification CNN downsampling hyperparameters DL 2D DT 2D RP

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Magnetic Field Effect and Heat Transfer of Nanofluids within Waveform Microchannel

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Computer Modeling in Engineering & sciences 2023年第3期134卷 1957-1973页

作者： Mehdi Moslemi Motahare Mahmoodnezhad s.A.Edalatpanah sulima Ahmed Mohammed Zubair Hamiden abd el-Wahed Khalifa Ayandegan Institute of Higher Education TonekabonIran Department of Mathematics College of Science and ArtsQassim UniversityAr RassSaudi Arabia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGizaEgypt

In this research,a numerical study of mixed convection of non-Newtonian fluid and magnetic field effect along a vertical wavy surface was investigated.A simple coordinate transformation to transform wavy surface to a flat surface is employed.A cubic spline collocation numerical method is employed to analyze transformed *** effect of various parameters such as Reynolds number,volume fraction 0-,Hartmann number,and amplitude of wave length was evaluated in improving the performance of a wavy *** to the presented results,the sinusoidal shape of the microchannel has a direct impact on heat *** increasing the microchannel wave amplitude,the Nusselt number has *** the other hand,increasing the heat transfer in the higher wavelength ratio corrugated channel is seen as an effective method of increasing the heat transfer,especially at higher Reynolds *** results showed that with increasing Hartmann numbers,the flow line near thewall becomesmore regular and,according to the temperature gradient created,theNusselt number growth.

关键词： Heat transfer magnetic field nano fluid vorticity wavy micro channel

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Improvement of (Eruca sativa Mill) yield, oil, chemical constituents and antioxidant activity utilizing a by-product of yeast production (CMs) with zinc and boron under salinity stress conditions

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Oil Crop science 2023年第4期8卷 218-227页

作者： sona s.el-Nwehy Hala s.abd-Rabbu Adel B.el-Nasharty abdelHalim I.Rezk Fertilization Technology Dept. Agriculture and Biological Research InstituteNational Research Centre33 El-Buhouth St.DokkiGizaP.O.12622Egypt Medicinal and Aromatic Plants Department National Research CentreEl-Buhouth St.DokkiGizaP.O.12622Egypt

The impact of low-quality irrigation water on plant development has garnered significant attention from researchers. In light of this, two field experiments were conducted to evaluate the performance, yield, oil production and composition, as well as active constituents of Rocket(Eruca sativa Mill) cultivated in calcareous soil under saline water irrigation. Foliar sprays containing condensed molasses soluble(CMs), zinc(Zn), and boron(B) alone or in combination were used for irrigation. The data obtained from measuring various parameters of Rocket following foliar spraying with CMs, Zn, B or their combinations demonstrated that most treatments resulted in a significant increase in these parameters. The highest values for most measurements were observed when foliar application included all three components(CMs + Zn + B), resulting in a seed yield of 184.6 g/m2and an oil content of 675.3 kg/ha. Compared to the control group, the macronutrient content of N, P, K, Mg, and Ca increased by 34.4%, 56%, 42%, 45%, and 39% respectively in the seeds treated with these ***, carbohydrates, proteins, phenolics flavonoids, and antioxidants showed increases of 24%, 34%,21%, 43%, and 28% respectively compared to the control group. Gas-liquid chromatography analysis identified ten components present in the seed oil characterized by higher unsaturated fatty acids ranging from 81.28% to92.28% and lower saturated fatty acids ranging from 6.72% to 8.21%. Therefore, foliar spray application including CMs, zinc, and boron can help alleviate salinity effects on Rocket plants grown under saline water irrigation conditions while improving growth, yield, oil production, and nutritional content such as total carbohydrates, proteins, and macronutrients levels.

关键词： Rocket(Eruca sativa Mill) Condensed molasses soluble(CMs) Zinc Boron Growth and yield Active constituents seed oil

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