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中国禽业导刊 2016年第18期33卷 19-20页

作者： hafez m.hafez 德国柏林自由大学

消费者对家禽产品质量和安全的信任的降低以及疾病的反复发生是未来家禽健康与生产面临的主要挑战。几种人类食源性感染与家禽有关，控制或消除这些食源性致病菌对家禽业提出了很大的问题。此外，抗生素耐药菌的增加也将产生持续的公共... 详细信息

消费者对家禽产品质量和安全的信任的降低以及疾病的反复发生是未来家禽健康与生产面临的主要挑战。几种人类食源性感染与家禽有关，控制或消除这些食源性致病菌对家禽业提出了很大的问题。此外，抗生素耐药菌的增加也将产生持续的公共健康危害。

关键词：家禽健康生产疾病食源性致病菌防控产品质量健康危害消费者

Experimental and numerical investigation of iron ore pellet firing using coupled CFD-DEm method

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Particuology 2024年第10期93卷 75-86页

作者： hafez Amani Eskandar Keshavarz Alamdari mostafa Keshavarz moraveji Bernhard Peters School of material Engineering and Advanced Processes Amirkabir University of Technology(Tehran Polytechnic)424 Hafez AveTehran15875-4413Iran Facultédes Sciences de la Technologie et MédicineUniversity of LuxembourgCampus Kirchberg 6Rue Coudenhove-KalergiKirchberg L-1359Luxembourg

Iron ore pellets are the main feedstock in ironmaking processes. While extensive research has addressed numerical modeling of the iron ore pellet induration process, little effort has been made to describe the intricate thermochemical processes occurring within the reactor starting from the pellet and particularly at the intra-particle scale. In this regard, discrete-continuous methods like CFD-DEm can generate more realistic, irregular particle assemblies, which leads to significantly more accurate predictions of voidage variation, wall effects, temperature distribution, and associated mass transfer phenomena. This study presents a numerical model based on computational fluid dynamics (CFD) coupled with the discrete element method (DEm) to simulate the thermal induration process of iron ore pellets. The presented model solving heat, mass, and momentum conservation equations for both continuous and discrete phases, provides detailed information on the thermochemical aspects of the process. Pilot-scale induration experiment was conducted to validate model predictions in terms of thermal history and final conversion fraction. It was found that inlet charge specifications, such as particle and pellet size, significantly impact the productivity of pelletizing plants, highlighting the potential of the presented model to optimize the process and improve plant productivity.

关键词： CFD-DEm Heatandmass transfer Ironorepellets Powderand pelletsize modeling

Seasonal influence of freshwater discharge on spatio-temporal variations in primary productivity, sea surface temperature, and euphotic zone depth in the northern Bay of Bengal

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Acta Oceanologica Sinica 2024年第6期43卷 1-14页

作者： hafez Ahmad Felix Jose md.Simul Bhuyan md.Nazrul Islam Padmanava Dash Geosystems Research Institute/Department of Geosciences Mississippi State UniversityStarkville 39759USA Department of Oceanography University of ChittagongChittagong 4331Bangladesh Department of marine&Earth Sciences Florida Gulf Coast UniversityFort Myers 33965USA Bangladesh Oceanographic Research Institute Cox’s Bazar 4730Bangladesh Faculty of marine Sciences&Fisheries Institute of Marine SciencesUniversity of ChittagongChittagong 4331Bangladesh Department of Geography and Environment Jahangirnagar UniversityDhaka 1342Bangladesh Department of Geosciences Mississippi State UniversityStarkville 39759USA

Ocean productivity is the foundation of marine food web,which continuously removes atmospheric carbon dioxide and supports life at sea and on ***-temporal variability of net primary productivity(NPP),sea surface temperature(SST),sea surface salinity(SSS),mixed layer depth(mLD),and euphotic zone depth(EZD) in the northern B ay of Bengal(BoB) during three monsoon seasons were examined in this study based on remote sensing data for the period 2005 to *** compare the NPP distribution between the coastal zones and open BoB,the study area was divided into five zones(Z1-Z5).Results suggest that most productive zones Z2 and Zl are located at the head bay area and are directly influenced by freshwater discharge together with riverine sediment and nutrient *** Z1-Z5,the NPP ranges from 5 315.38 mg/(m^(2)·d) to 346.7 mg/(m^(2)·d)(carbon,since then the same).The highest monthly average NPP of 5 315.38 mg/(m^(2)·d) in February and 5 039.36 mg/(m^(2)·d) in June were observed from Z2,while the lowest monthly average of 346.72 mg/(m^(2)·d) was observed in march from Z4,which is an oceanic *** values vary from 6-154 m for the study area,and it has an inverse correlation with NPP *** is deeper during the summer season and shallower during the wintertime,with a corresponding increase in *** the year,monthly SST shows slight fluctuation for the entire study area,and statistical analysis shows a significant correlation among NPP,and EZD,overall positive between NPP and mLD,whereas no significant correlation among SSS,and SST for the northern ***-term trends in SST and productivity were significantly po sitive in head bay zones but negatively productive in the open *** findings in this study on the distribution of NPP,SST,SSS,mLD,and EZD and their seasonal variability in five different zones of BoB can be used to further improve the management of marine resources and overall environmental condition in response to clim

关键词： chlorophyll a sea surface temperature euphotic zone depth primary productivity Ganges-Brahmaputra ocean color Bay of Bengal monsoon

Identifying and validating mmP family members(mmP2,mmP9,mmP12,and mmP16)as therapeutic targets and biomarkers in kidney renal clear cell carcinoma(KIRC)

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Oncology Research 2024年第4期32卷 737-752页

作者： KUNLUN LI DANDAN LI BARBOD hafez mOUNIR m.SALEm BEKHIT YOUSEF A.BIN JARDAN FARS KAED ALANAZI EHAB I.TAHA SAYED H.AUDA FAIQAH RAmZAN mUHAmmAD JAmIL The Second Affiliated Hospital of Harbin medical University Harbin Medical UniversityHarbinChina Department of Pharmaceutical Engineering Jiangsu Ocean UniversityLianyungangChina Department of Biological Engineering University of SalfordSalfordUK Department of Pharmaceutics College of PharmacyKing Saud UniversityRiyadhSaudi Arabia Department of Animal and Poultry Production Faculty of Veterinary and Animal SciencesGomal UniversityDera Ismail KhanPakistan Department of Arid Zone Research PARC instituteDera Ismail KhanPakistan

Kidney Renal Clear Cell Carcinoma(KIRC)is a malignant tumor that carries a substantial risk of morbidity and *** mmP family assumes a crucial role in tumor invasion and *** study aimed to uncover the mechanistic relevance of the mmP gene family as a therapeutic target and diagnostic biomarker in Kidney Renal Clear Cell Carcinoma(KIRC)through a comprehensive approach encompassing both computational and molecular ***,Cytoscape,UALCAN,GEPIA,OncoDB,HPA,cBioPortal,GSEA,TImER,ENCORI,DrugBank,targeted bisulfite sequencing(bisulfite-seq),conventional PCR,Sanger sequencing,and RT-qPCR based analyses were used in the present study to analyze mmP gene family members to accurately determine a few hub genes that can be utilized as both therapeutic targets and diagnostic biomarkers for *** performing STRING and Cytohubba analyses of the 24 mmP gene family members,mmP2(matrix metallopeptidase 2),mmP9(matrix metallopeptidase 9),mmP12(matrix metallopeptidase 12),and mmP16(matrix metallopeptidase 16)genes were denoted as hub genes having highest degree *** analyzing mmP2,mmP9,mmP12,and mmP16 via various TCGA databases and RT-qPCR technique across clinical samples and KIRC cell lines,interestingly,all these hub genes were found significantly overexpressed at mRNA and protein levels in KIRC samples relative to *** notable effect of the up-regulated mmP2,mmP9,mmP12,and mmP16 was also documented on the overall survival(OS)of the KIRC ***,targeted bisulfite-sequencing(bisulfite-seq)analysis revealed that promoter hypomethylation pattern was associated with up-regulation of hub genes(mmP2,mmP9,mmP12,and mmP16).In addition to this,hub genes were involved in various diverse oncogenic *** mmP gene family members(mmP2,mmP9,mmP12,and mmP16)may serve as therapeutic targets and prognostic biomarkers in KIRC.

关键词： KIRC mmP gene family Chemotherapy Overall survival

A Novel Optimized Language-Independent Text Summarization Technique

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Computers, materials & Continua 2022年第12期73卷 5121-5136页

作者： Hanan A.Hosni mahmoud Alaaeldin m.hafez Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia

A substantial amount of textual data is present electronically in several *** texts directed the gear to information *** is essential to remove this redundancy and decrease the reading time of these ***,we need a computerized text summarization technique to extract relevant information from group of text documents with correlated *** paper proposes a language-independent extractive summarization *** proposed technique presents a clustering-based optimization *** clustering technique determines the main subjects of the text,while the proposed optimization technique minimizes redundancy,and maximizes *** are devised and evaluated using BillSum dataset for the English language,mLSUm for German and Russian and mawdoo3 for the Arabic *** experiments are evaluated using ROUGE *** results showed the effectiveness of the proposed technique compared to other language-dependent and languageindependent summarization *** technique achieved better ROUGE metrics for all the utilized *** technique accomplished an F-measure of 41.9%for Rouge-1,18.7%for Rouge-2,39.4%for Rouge-3,and 16.8%for Rouge-4 on average for all the dataset using all three *** system also exhibited an improvement of 26.6%,35.5%,34.65%,and 31.54%*** recent model contributed in the summarization of BillSum in terms of ROUGE metric *** model’s performance is higher than the comparedmodels,especially in themetric results ofROUGE_2which is bi-gram matching.

关键词： Text summarization:language-independent summarization ROUGE

Language-Independent Text Tokenization Using Unsupervised Deep Learning

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Intelligent Automation & Soft Computing 2023年第1期35卷 321-334页

作者： Hanan A.Hosni mahmoud Alaaeldin m.hafez Eatedal Alabdulkreem Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia

Languages–independent text tokenization can aid in classification of languages with few *** is a global research effort to generate text classification for any *** text classification is a slow ***-quently,the text summary generation of different languages,using machine text classification,has been considered in recent *** is no research on the machine text classification for many languages such as Czech,Rome,*** research proposes a cross-language text tokenization model using a Transformer *** proposed Transformer employs an encoder that has ten layers with self-attention encoding and a feedforward *** model improves the efficiency of text classification by providing a draft text classification for a number of *** also propose a novel Sub-Word tokenization model with frequent vocabulary usage in the *** Sub-Word Byte-Pair Tokenization technique(SBPT)utilizes the sharing of the vocabulary of one sentence with other *** Sub-Word tokenization model enhances the performance of other Sub-Word tokenization models such pair encoding model by+10%using precision metric.

关键词： Text classification language-independent tokenization sub word tokenization

Data mining Approach Based on Hierarchical Gaussian mixture Representation model

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Intelligent Automation & Soft Computing 2023年第3期35卷 3727-3741页

作者： Hanan A.Hosni mahmoud Alaaeldin m.hafez Fahd Althukair Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia Department of Electrical Engineering and Computer Sciences College of EngineeringUniversity of CaliforniaBerkeleyUSA

Inﬁnite Gaussian mixture process is a model that computes the Gaus-sian mixture parameters with *** process is a probability density distribu-tion with adequate training data that can converge to the input density *** this paper,we propose a data mining model namely Beta hierarchical distribution that can solve axial data modeling.A novel hierarchical Two-Hyper-Parameter Poisson stochastic process is developed to solve grouped data *** solution uses data mining techniques to link datum in groups by linking their *** learning techniques are novel presentations of Gaussian model-ling that use prior knowledge of the representation hyper-parameters and approx-imate them in a closed *** are performed on axial data modeling of Arabic Script classiﬁcation and depict the effectiveness of the proposed method using a hand written benchmark dataset which contains complex handwritten Ara-bic *** are also performed on the application of facial expres-sion recognition and prove the accuracy of the proposed method using a benchmark dataset which contains eight different facial expressions.

关键词： Data classiﬁcation handwritten Arabic classiﬁcation facial expressions

Encephalitis Detection from EEG Fuzzy Density-Based Clustering model with multiple Centroid

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Intelligent Automation & Soft Computing 2023年第3期35卷 3129-3140页

作者： Hanan Abdullah mengash Alaaeldin m.hafez Hanan A.Hosni mahmoud Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Information Systems College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia

Encephalitis is a brain inﬂammation *** can yield to seizures,motor disability,or some loss of vision or ***,encepha-litis can be a life-threatening and proper diagnosis in an early stage is very ***,in this paper,we are proposing a deep learning model for computerized detection of Encephalitis from the electroencephalogram data(EEG).Also,we propose a Density-Based Clustering model to classify the distinctive waves of *** clustering models usually employ a computed single centroid virtual point to deﬁne the cluster conﬁguration,but this single point does not contain adequate *** precisely extract accurate inner structural data,a multiple centroids approach is employed and deﬁned in this paper,which deﬁnes the cluster conﬁguration by allocating weights to each state in the *** multiple EEG view fuzzy learning approach incorporates data from every sin-gle view to enhance the model's clustering *** a fuzzy Density-Based Clustering model with multiple centroids(FDBC)is *** model employs multiple real state centroids to deﬁne clusters using Partitioning Around Centroids *** Experimental results validate the medical importance of the proposed clustering model.

关键词： Density clustering clustering structural data fuzzy set

Surgical management of mitral Valve Infective Endocarditis with Accidental Finding of Open Pulmonary Tuberculosis

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World Journal of Cardiovascular Surgery 2024年第5期14卷 61-67页

作者： Ahmad Al Khaddour mohammed Alharthi Alawab m. mesallam mohamed Agawi mahmoud Ghalwash Ahmed Gotbi mohamed Abdel hafez Fouly marko Samanovic Nelson David Vega murad El Gharbi Fawaz Altaf King Abdullah medical Complex Jeddah KSA

Objective: This case report aimed to highlight intersections of TB and Cardiovasular diseases which carry high morbidity and mortality rates. methods: We are reporting the surgical management of forty seven years female who had back ground history of IDDm (Insulin dependent diabetic mellitus), ESRD (End stage renal disease) on HD (haemodialysis) also she had left subclavian artery stenosis, and paroxysmal atrial fibrillation. She was diagnosed with mitral valve infective endocarditis and found accidently to have an open pulmonary tuberculosis (TB) on the day before surgery. Results: She was started on first line anti-TB treatment. She was isolated in her private room and airborne precautions measures applied. The patient underwent a tissue mitral Valve replacement and tricuspid valve repair annuloplasty. Special precautions were applied in Theatre and on cardiopulmonary bypass machine guided by KAmC-J disinfection protocol. The patient made good recovery postoperatively. She was discharged well on day 7 post operatively. Conclusion: Intersections of TB and cardiovasular diseases carry high morbidity and mortality rates. Early diagnosis and early anti tuberculosis treatment can surely improve the patient prognosis. Our decontamination and disinfective procedures are recommended. Cases like this should be monitored long term for the development of further cardiovascular complication.

关键词： Tuberculosis (TB) mycobacterium tuberculosis (mTB) Heater-Cooler and Bypass machine New York Heart Association (NYHA)