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Temperature Uniformity,Correlations and the Flow Field in Swirling Impinging Jets

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Journal of Thermal Science 2023年第2期32卷 662-679页

作者： Zahir U.ahmed Yasir M.al-ABDELI Department of Mechanical Engineering Khulna University of Engineering&TechnologyKhulna 9203Bangladesh School of Engineering Edith Cowan UniversityJoondalupWA 6027Australia

Infrared thermography,velocity and impingement pressure measurements alongside numerical modelling are used in this study to resolve(heated)surface temperature distributions of turbulent swirling impinging jets for two Reynolds numbers(Re=11600 and 24600).Whilst building upon earlier discoveries for this same geometry,this paper provides three new contributions:(1)identifying the role of impingement distance(H/D)as a deciding factor in the trade-off between more efficient heat transfer(at high swirl numbers)and achieving better substrate temperature uniformity(lower gradients),(2)developing correlations to predict Nusselt number for swirling and non-swirling cooling jets,and(3)predicting the underlying mixing field in these jets and its interplay with the thermal distributions *** indicate substrate temperature uniformity varies based on H/D and swirl intensity(S)with a significant level of thermal non-uniformity occurring in near-field impingement(H/D=1)at stronger swirl(S=0.59 and 0.74).Four correlations describing the effects of S,Re,and H on the average heat transfer and stagnation heat transfer are developed and yield accuracies of 8%and 12%,*** recirculation near the impingement surface is predicted at H/D=1 for stronger swirl jets which disappears at other substrate *** peak wall shear stress reduces and the flow impingement becomes radially wider at higher H/D and *** turbulence or eddy viscosity regions for non-swirling jets(S=0)are predicted in the shear layer and entrainment regions at H/D=1,but such turbulence is confined to the impingement and wall jet regions for strongly swirling flows.

关键词： Temperature uniformity Nusselt number IR imaging CTA RANS

Pulmonary Diseases Decision Support System Using Deep Learning Approach

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Computers, Materials & Continua 2022年第10期73卷 311-326页

作者： Yazan al-Issa ali Mohammad alqudah Hiam alquran ahmed al Issa Department of Computer Engineering Yarmouk UniversityIrbid21163Jordan Department of Biomedical Systems and Informatics Engineering Yarmouk UniversityIrbid21163Jordan Department of Biomedical Engineering Jordan University of Science and TechnologyIrbid 22110Jordan Pediatrician Mediclinic HospitalAl Ain14444UAE

Pulmonary diseases are common throughout the world,especially in developing *** diseases include chronic obstructive pulmonary diseases,pneumonia,asthma,tuberculosis,fibrosis,and recently *** general,pulmonary diseases have a similar footprint on chest radiographs which makes them difficult to discriminate even for expert *** recent years,many image processing techniques and artificial intelligence models have been developed to quickly and accurately diagnose lung *** this paper,the performance of four popular pretrained models(namely VGG16,DenseNet201,DarkNet19,and XceptionNet)in distinguishing between different pulmonary diseases was *** the best of our knowledge,this is the first published study to ever attempt to distinguish all four cases normal,pneumonia,COVID-19 and lung opacity from ChestX-Ray(CXR)*** models were trained using Chest-X-Ray(CXR)images,and statistically tested using 5-fold cross *** individual models,XceptionNet outperformed all other models with a 94.775%accuracy and Area Under the Curve(AUC)of Receiver Operating Characteristic(ROC)of 99.84%.On the other hand,DarkNet19 represents a good compromise between accuracy,fast convergence,resource utilization,and near real time detection(0.33 s).Using a collection of models,the 97.79%accuracy achieved by Ensemble Features was the highest among all surveyed methods,but it takes the longest time to predict an image(5.68 s).An efficient effective decision support system can be developed using one of those approaches to assist radiologists in the field make the right assessment in terms of accuracy and prediction time,such a dependable system can be used in rural areas and various healthcare sectors.

关键词： Pulmonary diseases deep learning lung opacity classification majority voting ensemble features

Sentiment Analysis and Classification Using Deep Semantic Information and Contextual Knowledge

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Computers, Materials & Continua 2023年第1期74卷 671-691页

作者： ahmed Abdulhakim al-Absi Dae-Ki Kang Mohammed Abdulhakim al-Absi Department of Smart Computing Kyungdong University 464-gilBongpoGosungGangwon-do24764Korea Division of Computer Engineering Dongseo University47 Jurye-roSasang-guBusan47011Korea Department of Computer Engineering Dongseo University47 Jurye-roSasang-guBusan47011Korea

Sentiment analysis(AS)is one of the basic research directions in natural language processing(NLP),it is widely adopted for news,product review,and ***-based sentiment analysis(ABSA)aims at identifying the sentiment polarity of a given target context,previous existing model of sentiment analysis possesses the issue of the insufficient exaction of features which results in low *** this research work develops a deep-semantic and contextual knowledge networks(DSCNet).DSCNet tends to exploit the semantic and contextual knowledge to understand the context and enhance the accuracy based on given *** first temporal relationships are established then deep semantic knowledge and contextual knowledge are ***,a deep integration layer is introduced to measure the importance of features for efficient extraction of different *** of DSCNet model lies in introducing the deep *** is evaluated on three datasets i.e.,Restaurant,Laptop,and Twitter dataset considering different deep learning(DL)metrics like precision,recall,accuracy,and Macro-F1 ***,comparative analysis is carried out with different baselinemethods in terms of accuracy andMacro-F1 *** achieves 92.59%of accuracy on restaurant dataset,86.99%of accuracy on laptop dataset and 78.76%of accuracy on Twitter dataset.

关键词： Sentiment analysis aspect-sa deep learning DSCNet

The Role of Electrocardiogram DETERMINE Score in Prediction of Coronary Artery Disease Severity

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World Journal of Cardiovascular Diseases 2024年第9期14卷 567-580页

作者： Ismail N. El-Sokkary Essam ahmed Khalil Mohammed Wael Badawi Ibrahim K. Gamil Shousha Abdalla A. Elsebaey Mohamed Kamal Rehan Mahmoud Ibrahim Elshamy Yasser ahmed Sadek Department of Cardiovascular & Thoracic Surgery Faculty of Medicine Al-Azhar University Cairo Egypt Department of Cardiology Al-Azhar University Cairo Egypt Department of Internal Medicine Beni-Sueif University Beni Suef Egypt Department of Radiology Al-Azhar University Cairo Egypt Department of Cardiology Helwan University Cairo Egypt

Background: A major cause of mortality and disability on a global scale is myocardial infarction (MI). These days, the most reliable way to detect and measure MI is via cardiovascular magnetic resonance imaging (CMR). Aims and Objectives: To evaluate the effectiveness of the Electrocardiogram DETERMINE Score in predicting the severity of coronary artery disease (CAD) in patients who have experienced an Acute Myocardial Infarction (AMI) & to assess improvements in left ventricular function at 6 months following coronary artery bypass grafting (CABG). Subjects and Methods: This Observational cohort study was done at the Cardiology and Radiology department and cardiac surgery department, al-Azhar university hospitals and Helwan University hospital. The study involved 700 cases who patients diagnosed with Acute Myocardial Infarction and fulfilled specific criteria for selection. Result: There was highly statistically significant relation between Myocardial infarction size and ECG Marker Score as mean infarct size elevated When the number of ECG markers increased. There was a highly statistically significant relation between myocardial infarct segments, myocardial infarction size and improvement of cardiac function 6 months post-CABG. Conclusion: The study found that larger myocardial infarctions corresponded with higher DETERMINE Scores. It concluded that an ECG-based score better estimates infarct size than LVEF alone. Additionally, there was a significant statistical correlation between the size and segmentation of myocardial infarction and better cardiac function six months after CABG.

关键词： Electrocardiogram DETERMINE Score Coronary Artery Disease Outcome Acute Myocardial Infarction Coronary Artery Bypass Grafting

Eucleanal A and B:Two new napthalene derivatives from Euclea divinorum

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Chinese Chemical Letters 2012年第5期23卷 576-578页

作者： Margaret Mwihaki Ng'ang'a Hidayat Hussain Sumesh Chhabra Caroline Langat-Thoruwa ahmed AI-harrasi Karsten Krohn Ivan Robert Green Department of Chemistry Kenyatta UniversityP.O.Box 43844-00100NairobiKenya Department Chemistry Universität PaderbornWarburger Straβe 10033098 PaderbornGermany Department of Biological Sciences and Chemistry College of Arts and SciencesUniversity of NizwaBirkat Al-MouzNizwa 616Oman Department of Chemistry University of the Western CapeP/Bag X17Bellville 7530South Africa

Two new naphthalene derivatives named eucleanal A and B（1 and 2） were isolated from Euclea *** structures of the new compounds were elucidated by detailed spectroscopic analysis such as ~1H,^（13）C NMR,COSY,HMQC,HM... 详细信息

关键词： Euclea divinorum Hiern Ebenaceae NMR Structure elucidation

Green synthesis of bentonite-supported iron nanoparticles as a heterogeneous Fenton-like catalyst:Kinetics of decolorization of reactive blue 238 dye

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Water Science and Engineering 2020年第4期13卷 286-298页

作者： ahmed Khudhair Hassan Ghayda Yaseen al-Kindi Dalal Ghanim Environment and Water Directorate Ministry of Science and TechnologyBaghdad 10070Iraq Sanitary and Environmental Branch Civil Engineering DepartmentUniversity of TechnologyBaghdad 10009Iraq

This study aimed to synthesize green tea nano zero-valent iron(GT-NZVI)and bentonite-supported green tea nano zero-valent iron(BGT-NZVI)nanoparticles using green tea extracts in an environmentally sustainable *** was used as a support material because it disperses and stabilizes GT-NZVI,and it helps to reduce the cost,increase the adsorption capacity of GT-NZVI,and decrease the optimum amount of GT-NZVI used in Fenton-like oxidation.A scanning electron microscope,an atomic force microscope,and a Fourier transform infrared spectroscope were used to characterize GT-NZVI and B-GT-NZVI,while the zeta potential was measured to evaluate the stability of iron *** decolorization kinetics of reactive blue 238(RB 238)dye in the aqueous phase in the Fenton-like oxidation process were investigated as *** effects of various experimental conditions such as reaction time,dosages of catalysts,concentration of H2O2,temperature,addition of inorganic salts,and other parameters were *** results show that the oxidative degradation efficiencies of RB 238 dye catalyzed by GT-NZVI and B-GT-NZVI were 93.5%and 96.2%,respectively,at the optimum reaction conditions as follows:c(H2O2)¼5 mmol/L,r(GT-NZVI)¼0.5 g/L or r(B-GT-NZVI)¼0.5 g/L,c(RB 238 dye)¼0.05 mmol/L,and pH¼2.5 at 180 *** best catalytic performance was exhibited when B-GT-NZVI was *** kinetic models were employed,and the second-order model was found to be the best model representing the experimental kinetic data of RB 238 *** value of activation energy decreased from 38.22 kJ/mol for GT-NZVI to 14.13 kJ/mol for *** indicates that the effect of B-GT-NZVI in decreasing the energy barrier is more pronounced than that of the GT-NZVI catalyst,leading to improved Fenton-like oxidation processes.©2020 Hohai *** and hosting by Elsevier *** is an open access article under the CC BY-NC-ND license(http://***/licenses/by-nc-nd/4.0/).

关键词： Green synthesis Bentonite-supported iron nanoparticles Azo dye Fenton-like process Kinetics

Hydromechanical behavior of unsaturated expansive clay under repetitive loading

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Journal of Rock Mechanics and Geotechnical Engineering 2021年第5期13卷 1136-1146页

作者： ahmed M.al-Mahbashi Mosleh A.al-Shamrani Mohammad F.Abbas Bugshan Research Chair in Expansive Soils Department of Civil EngineeringKing Saud UniversityRiyadh11421Saudi Arabia Civil Engineering Department Prince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Soil Mechanics and Geotechnical Engineering Research Institute Housing and Building National Research Center(HBRC)Giza11511Egypt

Compacted layers of expansive soils are used in different engineering projects,such as subgrades,engineered clay barriers,and buffers for radioactive waste *** layers are exposed to a variety of stresses and wetting conditions during field *** between hydraulic and mechanical repeated loading provides insight understanding to the induced progressive deformation of expansive *** study was conducted to investigate the hydromechanical behavior of unsaturated compacted expansive clay under repeated loadingeunloading(RLU)*** series of onedimensional(1D)oedometer tests were conducted under controlled matric suction up to 1500 kPa using the axis translation technique(Fredlund soil-water characteristic curve device,SWC-150).The first test series was carried out at different levels of controlled matric suction for non-repeated loading eunloading(NRLU)*** cycles were applied in the second test series at different repetitivestress levels and under different levels of matric *** results indicated increasing axial wetting strainε_(a)(s),axial swell pressure ss(s),compression index C_(c)(s),and swell index C_(s)(s)with suction *** estimated loadecollapse(LC)curves obtained from NRLU series(LCN)and RLU series(LCR)indicated increasing yield stress sy(s)with increasing *** is attributed to the developed apparent cohesion between soil particles,which in turn rigidifies the material *** repetitive loading induced a notable reduction of compression index C_(c)(s)at the same level of suction,whereas swell index C_(s)(s)seems to be independent of repetitive ***,repetitive loading exceeding initial yield stresses results in plastic hardening and,hence,enlargement of yield stress locus(*** curve).

关键词： Expansive clay Repetitive loading Suction Hydromechanical behavior Loadecollapse curve

Delayed Grafting as a Valid Technique in Burn Management: Experience from a Burn Unit in Oman

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Reforming of Methane by CO2 over Bimetallic Ni-Mn/γ-al2O3 Catalyst

Modern Plastic Surgery（现代整形外科） 2024年第1期

作者： Taif alsafy Joe Jacob Anish Thadathil Elias ahmed Salah El Din Salim Mohammed Ghawas Majid Tariq Saud albusaidi ahmed al Jabri al Anood al Hadhrami Mutazz Obeid al Khaldi Moath Abdelhamid Shummo Karim Mohamed Haridi Aml Eid Saleh Said al-Busaidi

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Chinese Journal of Chemical Physics 2014年第2期27卷 214-220,I0004页

作者： Anis Hamza Fakeeha Muhammad Awais Naeem Wasim Ullah Khan ahmed Elhag Abasaeed ahmed Sadeq al-Fatesh 沙特国王大学工程学院化学工程系利雅得11421

γ-al2O3 supported Ni-Mn bimetallic catalysts for CO2 reforming of methane were prepared by impregnation method. The reforming reactions were conducted at 500-700℃ and atmospheric pressure using CO2/CH4/N2 with feed ratio of 17/17/2, at total flow rate of 36 mL/min. The catalytic performance was assessed through CH4 and CO2 conversions, synthesis gas ratio （H2/CO） and long term stability. Catalytic activity and stability tests revealed that addition of Mn improved catalytic performance and led to higher stability of bimetallic catalysts which presented better coke suppression than monometallic catalyst. In this work, the optimum loading of Mn which exhibited the most stable performance and least coke deposition was 0.5wt%. The fresh and spent catalysts were characterized by various techniques such as Brunauer-Emmett-Teller, the temperature programmed desorption CO2- TPD, thermogravimetric analysis, X-ray diffraction, scanning electron microscope, EDX, and infrared spectroscopy.

关键词： CH4 CO2 Bimetallic Dry reforming Ni/γ-al2O3 Mn and H2/CO