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Ear Cholesteatoma Surgery in South Sahara: Our Experience in Bamako

International Journal of Otolaryngology and Head & Neck Surgery 2024年第4期13卷 293-303页

作者： Kassim Diarra Oumou Coulibaly Yaya Dembele Nfaly Konaté Sidibe Youssouf Saydi Ag mohamed Harouna Sanogo Abraham Diarra ibrahim Fofana moussa Bourama Keita Youssouf Traore Fatogoma Issa Koné Boubacary Guindo Siaka Soumaoro Doumbia Kadidiatou Singare mohamed Amadou Keita ORLCCF Department Gabriel Toure University Hospital Bamako Mali ORLCCF Unit Kati Army Polyclinics Kati Mali ENT-CCF Department CHU Luxembourg Bamako Mali ORLCCF Service of the Reference Center of Commune VI Sogoniko Bamako Mali

In mali, cholesteatoma surgery remains a challenge due to the limited number of otological practitioners, and the low socio-economic level of patients reflecting the difficulties in performing CT or mRI for post-operative follow-up. We therefore initiated this work with the objective of analyzing, through a broad bibliographic review, the clinical, paraclinical, topographical, therapeutic and progressive aspects of a series of ear cholesteatoma. materials and method: This was a retrospective and prospective, descriptive study that took place in the ENT and head and neck surgery department of the Gabriel Touré University Hospital over 36 months from November 2020 to October 2023. These were patients admitted to the department for chronic cholestematous otitis media. Result: In total, we collected 34 files of patients admitted for cholesteatoma. This represented 9% of cases compared to all otological surgeries carried out during the same period, i.e. 362 cases. The average age of our patients was 35.31 years, with extremes ranging from 7 years to 80 years, there were 24 men and 10 women, i.e. a m/F ratio of 2.4. The average time to diagnosis was 7 years. The main functional signs were dominated by chronic fetid purulent otorrhea associated with hypoacusis in 94.6% of cases. One case of meningeal complication and three cases of cerebral empyema were reported. Clinically, a postero-superior and marginal tympanic perforation was observed in 53%, a retraction pocket in 5.9%, the sentinel polyp in 9%, and a non-marginal tympanic perforation in 32%. Pure-tone audiometry performed preoperatively for all patients showed conductive hearing loss in 83%. In 82% of cases we created a recess with the creation of a mini box. An ossiculoplasty was performed immediately with fragments of cartilage. The postoperative course found the disappearance of otorrhea (88.23%), the persistence of otorrhea in one case, two cases of facial paralysis, and one case of tinnitus. We did not identify

关键词： Cholesteatoma CT TTO TTF

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Improved Test Case Selection Algorithm to Reduce Time in Regression Testing

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Computers, materials & Continua 2022年第7期72卷 635-650页

作者： Israr Ghani Wan m.N.Wan-Kadir Adila Firdaus Arbain Noraini ibrahim School of Computing Faculty of EngineeringUniversiti Teknologi Malaysia(UTM)Johor Bahru81310Malaysia

Regression testing(RT)is an essential but an expensive activity in software *** confirms that new faults/errors will not have occurred in the modified *** efficiency can be improved through an effective technique of selected only modified test cases that appropriate to the modifications within the given time ***,several test case selection approaches have been introduced,but either these techniques were not sufficient according to the requirements of software tester experts or they are ineffective and cannot be used for available test suite specifications and *** address these limitations,we recommend an improved and efficient test case selection(TCS)algorithm for *** proposed technique decreases the execution time and redundancy of the duplicate test cases(TC)and detects onlymodified changes that appropriate to themodifications in test *** reduce execution time for TCS,evaluation results of our proposed approach are established on fault detection,redundancy and already executed test *** indicate that proposed technique decreases the inclusive testing time of TCS to execute modified test cases by,on average related to a method of Hybrid Whale Algorithm(HWOA),which is a progressive TCS approach in regression testing for a single product.

关键词： Test case selection regression testing change detection TCS algorithm test suite minimization

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Computer modeling in Engineering & Sciences 2022年第1期130卷 221-232页

作者： Rabha W.ibrahim Ahmed m.Ajaj Nadia m.G.Al-Saidi Dumitru Balean Institute of Electrical and Electronics Engineers Kuala LumpurMalaysia Department of Islamic Finance and Banking College of Islamic SciencesIraqi UniversityAdhamiyahIraq Department of Applied Sciences University of TechnologyBaghdadIraq Department of mathematics Cankaya UniversityAnkaraTurkey Institute of Space Sciences Magurele-BucharestRomania Department of medical Research China Medical UniversityTaichungTaiwanChina

The science of strategy(game theory)is known as the optimal decision-making of autonomous and challenging players in a strategic *** are different strategies to complete the optimal *** of these strategies is the similarity *** technique is a generalization of the symmetric strategy,which depends only on the other approaches employed,which can be formulated by altering *** of these methods is the fractal *** this investigation,we present a new method studying the similarity analytic solution(SAS)of a 3D-fractal nanofluid system(FNFS).The dynamic evolution is completely given by the concept of differential subordination and *** andmajorization relationships are the sets of observable *** theory can simplify the conditions under which particular sets *** offer an explicit construction for the complex possible velocity,energy and thermal functions of two-dimensional fluid flow(the complex variable is suggested in the open unit disk,where the disk is selected at a constant temperature and concentration with uniform velocity).We establish that whenever the 3D-fractal nanofluid systemis approximated by a fractal function,the solution has the same property,so a class of fractal tangent function gives ***,we demonstrate some simulations and examples that give the consequences of this methodology.

关键词： Analytic function open unit disk subordination and super-ordination fractional chaotic function similarity solution symmetry fractal fluid

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Application of microalgal-ZnO-NPs for reusing polyester/cotton blended fabric wastes after modification by cellulases enzymes

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Waste Disposal and Sustainable Energy 2023年第4期5卷 471-482页

作者： Osama m.Darwesh Naser G.Al-Balakocy Ahmed Ghanem ibrahim A.matter Agricultural microbiology Department National Research Centre33 EL-Buhouth St.DokkiCairo12622Egypt Protenic and manmade Fibers Department National Research CentreDokkiCairo12622Egypt Packaging materials Department National Research CentreCairo12622Egypt

Polyester/cotton(PET/C)blended fabric wastes are produced daily in huge amounts,which constitutes an economic loss and an environmental threat if it is not reused *** textile waste recycling technologies put much effort into developing fabric materials with unique properties,such as bioactivity or new optical goods based on modern technologies,especially *** this study,zinc oxide nanoparticles(ZnO-NPs)were biosynthesized using the aqueous extract of Dunaliella *** immobilized on PET/C waste fabrics after enzymatically activated with *** produced Dunaliella-ZnO-NPs(10–20 nm with a spherical shape)were characterized by High-resolution transmission electron microscopy(HRTEm),Fourier-transform infrared spectroscopy(FTIR),X-Ray diffraction analysis(XRD),and Scanning electron microscopy-energy dispersive X-ray analyzer(SEm-EDAX),and some functional groups,such as CH,CO,NH,and CN(due to the presence of carboxyl,proteins and hydroxyl groups),were detected,revealing the biosynthesis of *** analysis showed that the resulting ZnO-NPS had potent antimicrobial effects,Ultraviolet(UV)protection capabilities,and no cytotoxic effects on the normal human fibroblast cell line(BJ1).On the other hand,enzymatic treatments of PET/C fabric waste with cellulases enhanced the immobilization of biosynthetic nanoparticles on their *** PET/C fabrics loaded with Dunaliella-ZnO-NPs showed antibacterial and UV protection capabilities making them an eco-friendly and cost-effective candidate for numerous *** applications can include the manufacture of active packaging devices,wastewater treatment units,and many other environmental applications.

关键词： Wastewater remediation Polyester/cotton wastes Cytotoxicity microalgal-ZnO-NPs Dunaliella sp. microbial nanotechnology

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Optimal Deep Learning Based Intruder Identification in Industrial Internet of Things Environment

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Computer Systems Science & Engineering 2023年第9期46卷 3121-3139页

作者： Khaled m.Alalayah Fatma S.Alrayes Jaber S.Alzahrani Khadija m.Alaidarous ibrahim m.Alwayle Heba mohsen ibrahim Abdulrab Ahmed mesfer Al Duhayyim Department of Computer Science College of Science and ArtsSharurahNajran UniversitySaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Computer Department Applied CollegeNajran UniversityNajran66462Saudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia

With the increased advancements of smart industries,cybersecurity has become a vital growth factor in the success of industrial *** Industrial Internet of Things(IIoT)or Industry 4.0 has revolutionized the concepts of manufacturing and production *** industry 4.0,powerful IntrusionDetection Systems(IDS)play a significant role in ensuring network *** various intrusion detection techniques have been developed so far,it is challenging to protect the intricate data of *** is because conventional machine Learning(mL)approaches are inadequate and insufficient to address the demands of dynamic IIoT ***,the existing Deep Learning(DL)can be employed to identify anonymous ***,the current study proposes a Hunger Games Search Optimization with Deep Learning-Driven Intrusion Detection(HGSODLID)model for the IIoT *** presented HGSODL-ID model exploits the linear normalization approach to transform the input data into a useful *** HGSO algorithm is employed for Feature Selection(HGSO-FS)to reduce the curse of ***,Sparrow Search Optimization(SSO)is utilized with a Graph Convolutional Network(GCN)to classify and identify intrusions in the ***,the SSO technique is exploited to fine-tune the hyper-parameters involved in the GCN *** proposed HGSODL-ID model was experimentally validated using a benchmark dataset,and the results confirmed the superiority of the proposed HGSODL-ID method over recent approaches.

关键词： Industrial IoT deep learning network security intrusion detection system attribute selection smart factory

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Learning-Based Artificial Algae Algorithm with Optimal machine Learning Enabled malware Detection

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Computer Systems Science & Engineering 2023年第9期46卷 3103-3119页

作者： Khaled m.Alalayah Fatma S.Alrayes mohamed K.Nour Khadija m.Alaidarous ibrahim m.Alwayle Heba mohsen ibrahim Abdulrab Ahmed mesfer Al Duhayyim Department of Computer Science College of Science and ArtsNajran UniversitySharurahSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Computer Department Applied CollegeNajran UniversityNajran66462Saudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia

malware is a‘malicious software program that performs multiple cyberattacks on the Internet,involving fraud,scams,nation-state cyberwar,and *** malicious software programs come under different classifications,namely Trojans,viruses,spyware,worms,ransomware,Rootkit,botnet malware,*** is a kind of malware that holds the victim’s data hostage by encrypting the information on the user’s computer to make it inaccessible to users and only decrypting it;then,the user pays a ransom procedure of a sum of *** prevent detection,various forms of ransomware utilize more than one mechanism in their attack flow in conjunction with machine Learning(mL)*** study focuses on designing a Learning-Based Artificial Algae Algorithm with Optimal machine Learning Enabled malware Detection(LBAAA-OmLmD)approach in Computer *** presented LBAAA-OmLmDmodelmainly aims to detect and classify the existence of ransomware and goodware in the *** accomplish this,the LBAAA-OmLmD model initially derives a Learning-Based Artificial Algae Algorithm based Feature Selection(LBAAA-FS)model to reduce the curse of dimensionality ***,the Flower Pollination Algorithm(FPA)with Echo State Network(ESN)Classification model is *** FPA model helps to appropriately adjust the parameters related to the ESN model to accomplish enhanced classifier *** experimental validation of the LBAAA-OmLmD model is tested using a benchmark dataset,and the outcomes are inspected in distinct *** comprehensive comparative examination demonstrated the betterment of the LBAAAOmLmD model over recent algorithms.

关键词： Computer networks machine learning security malware detection feature selection ransomware

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Parameter Tuned machine Learning Based Emotion Recognition on Arabic Twitter Data

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Computer Systems Science & Engineering 2023年第9期46卷 3423-3438页

作者： ibrahim m.Alwayle Badriyya B.Al-onazi Jaber S.Alzahrani Khaled m.Alalayah Khadija m.Alaidarous ibrahim Abdulrab Ahmed mahmoud Othman Abdelwahed motwakel Department of Computer Science College of Science and ArtsSharurahNajran UniversityNajran55461Saudi Arabia Department of Language Preparation Arabic Language Teaching InstitutePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityNajran24211Saudi Arabia Computer Department Applied CollegeNajran UniversityNajran66462Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Arabic is one of the most spoken languages across the ***,there are fewer studies concerning Sentiment Analysis(SA)in *** recent years,the detected sentiments and emotions expressed in tweets have received significant *** substantial role played by the Arab region in international politics and the global economy has urged the need to examine the sentiments and emotions in the Arabic *** common models are available:machine Learning and lexicon-based approaches to address emotion classification *** this motivation,the current research article develops a Teaching and Learning Optimization with machine Learning Based Emotion Recognition and Classification(TLBOmL-ERC)model for Sentiment Analysis on tweets made in the Arabic *** presented TLBOmL-ERC model focuses on recognising emotions and sentiments expressed in Arabic *** attain this,the proposed TLBOmLERC model initially carries out data pre-processing and a Continuous Bag Of Words(CBOW)-based word embedding *** addition,Denoising Autoencoder(DAE)model is also exploited to categorise different emotions expressed in Arabic *** improve the efficacy of the DAE model,the Teaching and Learning-based Optimization(TLBO)algorithm is utilized to optimize the *** proposed TLBOmL-ERC method was experimentally validated with the help of an Arabic tweets *** obtained results show the promising performance of the proposed TLBOmL-ERC model on Arabic emotion classification.

关键词： Arabic language Twitter data machine learning teaching and learning-based optimization sentiment analysis emotion classification

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Sequence stratigraphic evaluation for the Abu madi Formation,Abu madi/El Qar'a/Khilala gas fields,onshore Nile Delta,Egypt

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Petroleum Research 2023年第4期8卷 514-523页

作者： Farouk I.metwalli Amir Ismail m.S.metwally ibrahim m.El Shafei Geology Department Faculty of ScienceHelwan UniversityCairoEgypt Desert Research Center CairoEgypt Petrobel Oil Company CairoEgypt

The present study aims to integrate a large set of geological and geophysical data into a comprehensive model describing the depositional features of the Abu madi/El Qar'a/Khilala gas *** model is based on the sequence stratigraphic framework of the Abu madi Formation defined using cores,well logs,and time-migrated seismic *** trace attribute sections and relative acoustic impedance sections are also used.A possible depositional pattern for the main Level Ill is established,based on the lithological and petrophysical information derived from the seismic data *** Abu madi For-mation can be regarded as a depositional sequence recording the progressive drowning of the incised *** sequence is bounded at the base by an erosional unconformity,created by a drop in the level of the Late messinian Sea,and at the top by a drowning unconformity related to the Early Pliocene *** bottom of Level II divides the Abu madi sequence into two smaller *** both sequences,gas-bearing traps can be found in the Lowstand Systems Tracts,represented by the fluvial Level Ill and fluvial-deltaic Level Il,respectively.

关键词： Abu madi gas field El Qar'a area Khilala area Sequence stratigraphy analysis Onshore Nile Delta Abu madi Formation

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Ranked-Set Sampling Based Distribution Free Control Chart with Application in CSTR Process

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Computer modeling in Engineering & Sciences 2023年第6期135卷 2091-2118页

作者： ibrahim m.Almanjahie Zahid Rasheed majid Khan Syed masroor Anwar Ammara Nawaz Cheema Department of mathematics College of ScienceKing Khalid UniversityAbha62529Saudi Arabia Statistical Research and Studies Support Unit King Khalid UniversityAbha62529Saudi Arabia School of mathematics and Statistics Xi’an Jiaotong University ChinaXi’an710049China Department of mathematics Women University of Azad Jammu and KashmirBagh12500Pakistan Government Post Graduate College Haripur22620Pakistan Department of Statistics University of Azad Jammu and KashmirMuzaffarabad13100Pakistan Department of mathematics Air UniversityIslamabad44000Pakistan

Nonparametric(distribution-free)control charts have been introduced in recent years when quality characteristics do not follow a specific *** the sample selection is prohibitively expensive,we prefer ranked-set sampling over simple random sampling because ranked set sampling-based control charts outperform simple random sampling-based control *** this study,we proposed a nonparametric homogeneously weighted moving average based on theWilcoxon signed-rank test with ranked set sampling(NPHWmARSS)control chart for detecting shifts in the process location of a continuous and symmetric *** Carlo simulations are used to obtain the run length characteristics to evaluate the performance of the proposed NPHWmARSS control *** proposed NPHWmARSS control chart’s performance is compared to that of parametric and nonparametric control *** control charts include the exponentially weighted moving average(EWmA)control chart,Wilcoxon signed-rank with simple random sampling based the nonparametric EWmA control chart,the nonparametric EWmA sign control chart,Wilcoxon signed-rank with ranked set sampling-based the nonparametric EWmA control chart,and the homogeneously weighted moving average control *** findings show that the proposed NPHWmARSS control chart performs better than its competitors,particularly for the small ***,an example is presented to demonstrate how the proposed scheme can be implemented practically.

关键词： Nonparametric control charts run-length ranked set sampling Wilcoxon signed-rank

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Hibernation with rhythmicity:the circadian clock and hormonal adaptations of the hibernating Asiatic toads(Bufo gargarizans)

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Integrative Zoology 2022年第4期17卷 656-669页

作者： Zhigang XIE ibrahim m.AHmAD Lirong ZUO Feng XIAO Yongpeng WANG Dongming LI Zhejiang Academy of Agricultural Sciences HangzhouChina College of Chemistry and Life Science Zhejiang Normal UniversityJinhuaChina ministry of Education Key Laboratory of molecular and Cellular Biology Key Laboratory of Animal PhysiologyBiochemistry and Molecular Biology of Hebei ProvinceCollege of Life SciencesHebei Normal UniversityShijiazhuangChina

Hibernation is one of the fundamental strategies in response to cold environmental *** hibernation,the endocrine and circadian systems ensure minimal expenditure of energy for *** circadian rhythms of key hormones,melatonin(mT),corticosterone(CORT),triiodothyronine(T3),and thyroxine(T4),and the underlying molecular regulatory mechanisms of hibernation have been well determined in mammals but not in ***,a terrestrial hibernating species,Asiatic toad(Bufo gargarizans),was employed to investigate the plasma CORT,mT,T3,and T4;and the retina,brain,and liver mRNA expression of the core clock genes,including circadian locomotor output cycles kaput(Clock),brain and muscle ARNT-like 1(Bmal1),cryptochrome(Cry)1 and 2,and period(Per)1 and 2,at 7-time points over a 24-h period under acute cold(1 day at 4℃),and hibernation(45 days at 4℃).Our results showed that the circadian rhythms of the core clock genes were rather unaffected by acute cold exposure in the retina,unlike the brain and *** contrast,during hibernation,the liver clock genes displayed significant circadian oscillations,while those in the retina and brain stopped ***,plasma CORT expressed circadian oscillations in both groups,and T3 in acute cold exposure group,whereas T4 and mT did *** results reveal that the plasma CORT and the liver sustain rhythmicity when the brain was not,indicating that the liver clock along with the adrenal clock synergistically maintains the metabolic requirements to ensure basic survival in hibernating Asiatic toads.

关键词： Asiatic toad circadian rhythm clock genes cold exposure hibernation metabolic hormones

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