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Anion gap as bio-diagnostic index in prediction of dystocia, retained placenta and delayed uterine involution of Baladi goat (Field study)

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Asian pacific Journal of Reproduction 2017年第5期6卷 231-237页

作者： mohamed el-Raey heba m el-khaiat Department of Theriogenology Faculty of Veterinary MedicineBenha UniversityP.O:13736TokhKaliobiaEgypt Department of Animal medicine Faculty of Veterinary MedicineBenha UniversityP.O:13736TokhKaliobiaEgypt

Objective:To assess the anion gap (AG) validity in prediction the goat's fertility before ***: This study was carried out on two groups (20/20, aged 4–6 years and weighted 30–43 kg) of pluriparous pregnant Baladi goats. Animals were subjected to clinical examination, blood sampling to assess serum biochemical parameters in correlation with utrasonographic assessment of uterine horn involution (UTI) and placental dropping time after kidding. Unpaired studentt–test was used to detect the significance of differences (Pelation coefficient was used to study the relationships among the different assessed parameters, analysis (r) was assigned atPme statistics ***:Results revealed that there were highly significant differences (Pmally and abnormally parturated goats concerning Cl–, K+, Na+, P, mg2+, Total/Ca2+, albumin, glucose and AG. Goats suffered from dystocia having high levels of HCO3–, cortisol and lactate. Additionally, there were significant differences (Pmally and abnormally parturated goat does regarding the process of UTI starting from 3rd to 10th wk after parturition. Furthermore, there was a highly significant difference (Pmally and abnormally parturated goat does concerning their placental dropping time;where, distressed/abnormally parturated goat having the longest time. Furthermore, there were highly strong correlation coefficient between mg2+, K+, Na+, HCO3–, glucose, albumin, AG and corrected AG concentrations during goat's prepartum period and UTI, placental dropping ***:Reporting serum bio-chemical changes and AG during goat's prepartum period could be used as diagnostic tool to judge the normality of parturition process, placental dropping, UTI and genital health, in other word, could be used as predictor for goat's fertility prior to parturition.

关键词： Goats Fertility Anion gap Uterus Placenta

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Optimized Deep Learning Approach for Efficient Diabetic Retinopathy Classification Combining VGG16-CNN

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Computers, materials & Continua 2023年第11期77卷 1855-1872页

作者： heba m.el-Hoseny heba F.elsepae Wael A.mohamed Ayman S.Selmy Department of Computer Science the Higher Future Institute for Specialized Technological StudiesObour11828Egypt Department of electrical Engineering Benha Faculty of EngineeringBenha UniversityBenha13511Egypt

Diabetic retinopathy is a critical eye condition that,if not treated,can lead to vision *** methods of diagnosing and treating the disease are time-consuming and ***,machine learning and deep transfer learning(DTL)techniques have shown promise in medical applications,including detecting,classifying,and segmenting diabetic *** advanced techniques offer higher accuracy and *** Diagnosis(CAD)is crucial in speeding up classification and providing accurate disease ***,these technological advancements hold great potential for improving the management of diabetic *** study’s objective was to differentiate between different classes of diabetes and verify the model’s capability to distinguish between these *** robustness of the model was evaluated using other metrics such as accuracy(ACC),precision(PRE),recall(REC),and area under the curve(AUC).In this particular study,the researchers utilized data cleansing techniques,transfer learning(TL),and convolutional neural network(CNN)methods to effectively identify and categorize the various diseases associated with diabetic retinopathy(DR).They employed the VGG-16CNN model,incorporating intelligent parameters that enhanced its *** outcomes surpassed the results obtained by the auto enhancement(AE)filter,which had an ACC of over 98%.The manuscript provides visual aids such as graphs,tables,and techniques and frameworks to enhance *** study highlights the significance of optimized deep TL in improving the metrics of the classification of the four separate classes of *** manuscript emphasizes the importance of using the VGG16CNN classification technique in this context.

关键词： No diabetic retinopathy(NDR) convolution layers(CNV layers) transfer learning data cleansing convolutional neural networks a visual geometry group(VGG16)

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Hydrophobic polyethersulfone porous membranes for membrane distillation

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Frontiers of Chemical Science and Engineering 2015年第1期9卷 84-93页

作者： heba ABDALLAH Ayman el-GENDI maaly KHEDR elham el-ZANATI Chemical Engineering & Pilot Plant Department Engineering Research Division National Research Center 33 Bohouth st. Dokki Giza Egypt

membrane distillation （mD） is a thermal, vapor-driven transportation process through micro porous hydrophobic membranes that is increasingly being applied to seawater and brine desalination processes. Two types of hydrophobic microporous polyethersulfone fiat sheet membranes, namely, annealed polyethersulfone and a polyethersulfone/tetraethoxysilane （PES/TEOS） blend were prepared by a phase inversion process. The membranes were characterized and their performances were investigated using the vacuum membrane distillation of an aqueous NaCI solution. The performances of the prepared membranes were also compared with two commercially available hydrophobic membranes, polyte- trafluorethylene and polyvinylidene fluoride. The influence of operational parameters such as feed temperature （25-65 ℃）, permeate vacuum pressure （200 800 mbar）, feed flow rate （8-22 mL/s） and feed salt concentration （3000 to 35000 mg/L） on the mD permeation flux were investigated for the four membranes. The hydrophobic PES/TEOS membrane had the highest salt rejection （99.7%） and permeate flux （86 kg/（m^2 -h）） at 65 ℃, with a feed of 7000 ppm and a pressure of 200 mbar.

关键词： membrane distillation hydrophobic membrane salt rejection permeate flux

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Dynamic Routing Optimization Algorithm for Software Defined Networking

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Computers, materials & Continua 2022年第1期70卷 1349-1362页

作者： Nancy Abbas el-Hefnawy Osama Abdel Raouf heba Askr Department of Information Systems Tanta UniversityTanta31511Egypt Department of Operations Research and Decision Support Menoufia UniversityShepen AlkomEgypt Department of Information Systems University of Sadat CityAlSadat City048Egypt

Time and space complexity is themost critical problemof the current routing optimization algorithms for Software Defined Networking(SDN).To overcome this complexity,researchers use meta-heuristic techniques inside the routing optimization algorithms in the OpenFlow(OF)based large scale *** paper proposes a hybrid meta-heuristic algorithm to optimize the dynamic routing problem for the large scale *** to the dynamic nature of SDNs,the proposed algorithm uses amutation operator to overcome the memory-based problem of the ant colony ***,it uses the box-covering method and the k-means clustering method to divide the SDN network to overcome the problemof time and space *** results of the proposed algorithm compared with the results of other similar algorithms and it shows that the proposed algorithm can handle the dynamic network changing,reduce the network congestion,the delay and running times and the packet loss rates.

关键词： Dynamic routing optimization Openflow software defined networking

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Preparation of PVC/PVP composite polymer membranes via phase inversion process for water treatment purposes

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Chinese Journal of Chemical Engineering 2018年第4期26卷 715-722页

作者： Ahmed Bhran Abeer Shoaib Doaa elsadeq Ayman el-gendi heba Abdallah Chemical Engineering Department College of Engineering Al Imam Mohammad Ibn Saud Islamic University (IMSIU) Department of Petroleum Refining and Petrochemical Engineering Faculty of Petroleum and Mining Engineering Suez University Chemical Engineering and Pilot Plant Department Engineering Research Division National Research Centre Chemical and materials Engineering Department King Abdulaziz University

In this work, new composite membranes were successfully prepared via phase inversion technique using polyvinyl chloride(PVC) and polyvinylpyrrolidone(PVP) as polymers and tetrahydrofuran(THF) and N-methyl-2-pyrrolidone(NmP) as solvents. The prepared membranes have been characterized by scanning electron microscope(SEm), and fourier transforms infrared spectroscopy(FTIR). The scanning electron microscope results prove that the prepared membranes are smooth and their pores are distributed throughout the whole surface and bulk body of the membrane without any visible cracks. The stress–strain mechanical test showed an excellent mechanical behavior enhanced by the presence of PVP in the prepared membranes. The membranes performance results showed that the salt rejection reached 98% with a high flux. This, in turn, makes the prepared membranes can be applied for sea and brackish water treatment through membrane distillation technology.

关键词： membrane Polyvinylchloride Polyvinylpyrrolidone Phase inversion

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micro-fabrication of ceramics:Additive manufacturing and conventional technologies

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Journal of Advanced Ceramics 2021年第1期10卷 1-27页

作者： Hany HASSANIN Khamis ESSA Amr elSHAER mohamed ImBABY heba H.el-mONGY Tamer A.el-SAYED School of Engineering Canterbury Christ Church UniversityCanterburyCT11QUUK University of Birmingham EdgbastonB152TTUK Kingston University London Penrhyn RoadKingston Upon ThamesSurreyKT12EEUK Department of mechanical Design Faculty of EngineeringMatariaHelwan UniversityP.O.Box.11718CairoEgypt Jubail University College Mechanical EngineeringKingdom of Saudi Arabia Center for Applied Dynamics Research(CADR) School of EngineeringUniversity of AberdeenAberdeenAB243UEUK

Ceramic materials are increasingly used in micro-electro-mechanical systems(mEmS)as they offer many advantages such as high-temperature resistance,high wear resistance,low density,and favourable mechanical and chemical properties at elevated ***,with the emerging of additive manufacturing,the use of ceramics for functional and structural mEmS raises new opportunities and *** paper provides an extensive review of the manufacturing processes used for ceramic-based mEmS,including additive and conventional manufacturing *** review covers the micro-fabrication techniques of ceramics with the focus on their operating principles,main features,and processed *** that need to be addressed in applying additive technologies in mEmS include ceramic printing on wafers,post-processing at the micro-level,resolution,and quality *** paper also sheds light on the new possibilities of ceramic additive micro-fabrication and their potential applications,which indicates a promising future.

关键词： micro-electro-mechanical system(mEmS) micro-fabrication ceramics micro parts additive manufacturing

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Genetic Variability and Phenotypic Correlations Study among Grain Quality Traits and mineral elements Concentrations in Colored and Non-Colored Rice (Oryza sativa L.)

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Phyton-International Journal of Experimental Botany 2024年第7期93卷 1733-1748页

作者： Adel A.Rezk mohamed m.el-malky heba I.mohamed Hossam S.el-Beltagi Agricultural Biotechnology Department College of Agricultural and Food ScienceKing Faisal UniversityAl-Ahsa31982Saudi Arabia Plant Pathology Research Institute Agriculture Research CenterGiza12619Egypt Rice Research and Training Center Field Crop Research InstituteAgriculture Research Center33717Egypt Biological and Geological Sciences Department Faculty of EducationAin Shams UniversityCairo11511Egypt Biochemistry Department Faculty of AgricultureCairo UniversityGiza12613Egypt

Twenty-four rice genotypes were examined to assess genetic variability,heritability,and correlations for seven-grain quality traits,eight nutritional elements,and *** revealed signiﬁcant differences for the quality traits *** every trait under study,the phenotypic coefﬁcient of variation was higher than the correspon-dence genotypic coefﬁcient of *** in a broad sense varied from 29.75%for grain length to 98.31%for the elongation *** percentage recovery had a highly signiﬁcant positive correlation with milling and head rice ***,milling percentage had a highly positive correlation with head rice *** amylose percentage,all the genotypes belonged to low amylose except the Hassawi-1 variety,which had intermediate amylose *** nutrition contents of magnesium(mg),sodium(Na),potas-sium(K),calcium(Ca),copper(Cu),manganese(mn),zinc(Zn),iron(Fe),or protein percentage gave different variations for 24 rice genotypes under all the nutritional *** the 24 genotypes,ten rice genotypes–HighNutrient-1,HighNutrient-2,HighNutrient-9,HighNutrient-8,HighNutrient-3,Hassawi-2,HighNutrient-7,HighNutrient-6,Hassawi-1,and HighNutrient-4–had the highest heist value for all nutritional and protein con-tents,and could be used as a donor to improving new *** was a positive and signiﬁcant correlation between magnesium mg,K,Zn and ***,K had a positive correlation with zinc Zn,Fe,and protein *** analysis was divided into two groups:theﬁrst group included all genotypes rich in nutri-ents,while the remaining genotypes with low nutritional content were included in the second group.

关键词： Amylose cluster analysis genotypes grain quality mineral nutrition rice

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Repurposed anti-cancer epidermal growth factor receptor inhibitors: mechanisms of neuroprotective effects in Alzheimer’s disease

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Neural Regeneration Research 2022年第9期17卷 1913-1918页

作者： heba m.mansour Hala m.Fawzy Aiman S.el-Khatib mahmoud m.Khattab Department of Pharmacology Egyptian Drug AuthorityEDAformerly NODCARGizaEgypt Department of Pharmacology and Toxicology Faculty of PharmacyCairo UniversityCairoEgypt

Numerous molecular mechanisms are being examined in an attempt to discover disease-modifying drugs to slow down the underlying neurodegeneration in Alzheimer’s *** studies have shown the beneficial effects of epidermal growth factor receptor inhibitors on the enhancement of behavioral and pathological sequelae in Alzheimer’s *** the promising effects of epidermal growth factor receptor inhibitors in Alzheimer’s disease,there is no irrefutable neuroprotective evidence in well-established animal models using epidermal growth factor receptor inhibitors due to many un-explored downstream signaling *** caused controversy about the potential involvement of epidermal growth factor receptor inhibitors in any prospective clinical *** this review,the mystery beyond the under-investigation of epidermal growth factor receptor in Alzheimer’s disease will be ***,their molecular mechanisms in neurodegeneration will be ***,we will shed light on SARS-COVID-19 induced neurological manifestations mediated by epidermal growth factor ***,we will discuss future perspectives and under-examined epidermal growth factor receptor downstream signaling pathways that warrant more *** conclude that epidermal growth factor receptor inhibitors are novel effective therapeutic approaches that require further research in attempts to be repositioned in the delay of Alzheimer’s disease progression.

关键词： Alzheimer’s disease autophagy drug re-positioning epidermal growth factor receptor human epidermal growth factor receptor-2 neurodegenerative diseases neuroinflammation oxidative stress tyrosine kinase inhibitors

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Enhancing Early Detection of Lung Cancer through Advanced Image Processing Techniques and Deep Learning Architectures for CT Scans

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Computers, materials & Continua 2024年第10期81卷 271-307页

作者： Nahed Tawfik heba m.Emara Walid el-Shafai Naglaa F.Soliman Abeer D.Algarni Fathi EAbd el-Samie Computers and Systems Department Electronics Research InstituteEl NozhaHuckstep Cairo12622Egypt Department of electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Lung cancer remains a major concern in modern oncology due to its high mortality rates and multifaceted origins,including hereditary factors and various clinical *** stands as the deadliest type of cancer and a significant cause of cancer-related deaths *** diagnosis enables healthcare providers to administer appropriate treatment measures promptly and accurately,leading to improved prognosis and higher survival *** significant increase in both the incidence and mortality rates of lung cancer,particularly its ranking as the second most prevalent cancer among women worldwide,underscores the need for comprehensive research into efficient screening *** in diagnostic techniques,particularly the use of computed tomography(CT)scans,have revolutionized the identification of lung *** scans are renowned for their ability to provide high-resolution images and are particularly effective in detecting small,calcified areas,crucial for identifying earlystage lung ***,there is growing interest in enhancing computer-aided detection(CAD)*** algorithms assist radiologists by reducing false-positive interpretations and improving the accuracy of early cancer *** study aims to enhance the effectiveness of CAD systems through various ***,the Contrast Limited Adaptive Histogram Equalization(CLAHE)algorithm is employed to preprocess CT scan images,thereby improving their visual *** refinement is achieved by integrating different optimization strategies with the CLAHE *** Cutmix data augmentation technique is applied to boost the performance of the proposed model.A comparative analysis is conducted using deep learning architectures such as InceptionV3,ResNet101,Xception,and *** study evaluates the performance of these architectures in image classification tasks,both with and without the implementation of the CLAHE *** empirical findings of the study demonst

关键词： Lung cancer detection CLAHE algorithm optimization deep learning classification feature extraction healthcare applications

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New trends in pharmacological treatment of acute kidney injury

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Asian Pacific Journal of Tropical Biomedicine 2021年第7期11卷 285-297页

作者： heba m.I.Abdallah Department of Pharmacology Medical Research DivisionNational Research CentreGiza 12622Egypt

Acute kidney injury,previously known as acute renal failure(AKI),is defined as an abrupt decrease in kidney function that occurs within hours or *** new nomenclature opens a new door for possibility of treatment of developing renal injury before progression to unresolved renal *** arises due to diverse etiologic factors that rely mainly on three categories namely,prerenal,intrinsic renal,and post-renal factors with different clinical pictures,and confers a spectrum of injury ranging from mild to severe and sometimes leads to end-stage renal *** of pathogenesis and other factors generate barriers to developing effective treatments despite a large number of experimental and clinical *** this review,recent advances in the potential of the currently used drugs for renoprotection,novel pharmacological targets,and prospective therapeutics for AKI are *** information in this review was extracted from electronic resources(Pub med,Google Scholar,Wiley,Science Direct,Springer),and English scientific books by using keywords including kidney,injury,recent therapy,and pharmacological *** articles were carefully checked for their relevance to the current *** targets of cellular repair or regenerative processes involved in AKI such as autophagy,ferroptosis inhibition,and p53 antagonism seem to be effective in disease *** may help researchers and clinicians to understand how to target the interrelated molecular and cellular mechanisms underlying the pathogenesis of AKI.

关键词： Acute kidney injury Recent therapy Promising pharmacological targets

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