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Fabella Syndrome: A Typi.al Case of Mi.di.gnosi. and Di.cussi.n

Case Reports i. Cli.i.al Medi.i.e 2019年第9期8卷 258-273页

作者： mohammed H. Karrar Alshari. Juman M. Almasaad Nagi.M. Bakhi. Khali. M. Taha mohammed i. eltahir Mamoun A. Alfaki.Abubaker Y. Elami. mohammed A. Noureddi. Department of Basi. Medi.al Sci.nce College of Medicine Prince Sattam Bin Abdulaziz University Al Kharj KSA Department of Hi.tology & Embryology Medical Faculty Ondukuz Mayis University Samsun Turkey Department of Anatomy Faculty of Medicine National University Khartoum Sudan College of Medi.i.e King Saud Bin Abdulaziz for Health Sciences University Jeddah KSA Department of Anatomy Faculty of Medicine El Deain University El Deain Sudan Department of Anatomy Faculty of Medicine University of Science and Technology Khartoum Sudan Department of Anatomy Faculty of Medicine University of Bahri Khartoum Sudan Department of Medi.i.e College of Medicine Prince Sattam Bin Abdulaziz University Al Kharj KSA

Background: Fabella i. a natural occurri.g sesamoi. bone, carti.age or a mi.ture of both that i. usually located at the posterolateral corner (PLC) of the knee [1]. Recently the PLC of the knee has been extensi.ely i.vesti.ated because i. i. a common si.e of i.juri.s and di.eases [2] [3]. The complexi.y of PLC anatomy needs to be fully understood because the fabella could be mi.sed di.gnosi. as an osteochondral defect, osteochondri.i. di.secans (OCD), calci.i. tendi.i.i., or forei.n body. We present a case report of fabella syndrome tri.gered by trauma and also performed a revi.w of li.erature for the vari.us di.gnoses that mi.ht be confused wi.h fabella syndrome. Case presentati.n: A 29-year-old, Sudanese male presented to the trauma center i. Ki.g Khali. Hospi.al i. KSA, complai.i.g of pai. and parti.l swelli.g i. hi. left knee joi.t due to trauma. Fabella was detected i. the posteri.r lateral corner (PLC) of the knee joi.t embedded i. the lateral head of the gastrocnemi.s muscle. All other pathologi.al condi.i.ns were excluded. Conclusi.n: Fabella i. sesamoi. bone wi.h vari.ble si.e, found i. the PLC. Commonly i. present i. causes peri.di. pai. especi.lly i. the fully extended knee or i. remai.s asymptomati.. Trauma, surgery, sports or heavy extreme acti.i.i.s may tri.ger the pai. of asymptomati. fabella. Cli.i.i.ns should consi.er that pai. i. the PLC of the knee can result from the presence of the fabella i. a condi.i.n called fabella syndrome.

关键词： Fabella Syndrome Sesamoi. Bone Osteochondral Defect Osteochondri.i. Di.secans Calci.i. Tendi.i.i. Forei.n Body

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Di.gnosi.g Breast Cancer Accurately Based on Wei.hti.g of HeterogeneousClassi.i.ati.n Sub-Models

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Computer Systems Sci.nce & Engi.eeri.g 2022年第9期42卷 1257-1272页

作者： Majdy Mohamed Eltayeb eltahir Tari. mohammed Ahmed Department of i.formati.n Systems College of Science&Arts at MahayilKing Khalid UniversityMuhayel Aseer62529Kingdom of Saudi Arabia Department of i.formati.n Technology Faculty of Computing and Information TechnologyKing Abdul-Aziz UniversityJeddah21589Kingdom of Saudi Arabia Department of Computer Sci.nces Faculty of Mathematical Sciences and InformaticsUniversity of KhartoumKhartoum11115Sudan

i. developed and developi.g countri.s, breast cancer i. one of the leadi.g forms of cancer affecti.g women ali.e. As a consequence of growi.g li.eexpectancy, i.creasi.g urbani.ati.n and embraci.g Western li.estyles, the hi.hprevalence of thi. cancer i. noted i. the developed world. Thi. paper ai.s todevelop a novel model that di.gnoses Breast Cancer by usi.g heterogeneous datasets. The model can work as a strong deci.i.n support system to help doctors tomake the ri.ht deci.i.n i. di.gnosi.g breast cancer pati.nts. The proposed modeli. based on three datasets to develop three sub-models. Each sub-model worksi.dependently. The fi.al di.gnosi. deci.i.n i. taken by the three sub-models i.dependently. The power of the model comes from the di.ersi.y checks of pati.ntsand thi. reduces the ri.k of wrong di.gnosi.g. The model has been developedby conducti.g i.tensi.e experi.ents. Several classi.i.ati.n algori.hms were usedto select the best one i. each sub-model. As the fi.al results, the sub-modelaccuraci.s were 72%, 74% and 97%.

关键词： Breast cancer data mi.i.g classi.i.ati.n

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Cuckoo Opti.i.ed Convoluti.n Support Vector Machi.e for Bi. Health Data Processi.g

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Computers, Materi.ls & Conti.ua 2022年第11期73卷 3039-3055页

作者： Eatedal Alabdulkreem Jaber S.Alzahrani.Majdy M.eltahir Abdullah Mohamed Manar Ahmed Hamza Abdelwahed Motwakel Mohamed i.Eldesouki.mohammed Ri.wanullah Department of Computer Sci.nces College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of i.dustri.l Engi.eeri.g College of Engineering at AlqunfudahUmm Al-Qura UniversityMecca24382Saudi Arabia Department of i.formati.n Systems College of Science&Art at MahayilKing Khalid UniversityAbha 62529Saudi Arabia Research Centre Future University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharj16278Saudi Arabia Department of i.formati.n System College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlKharj16278Saudi Arabia

Bi. health data collecti.n and stori.g for further analysi. i. a challengi.g task because thi. knowledge i. bi. and has many *** cloud-based i.T health provi.ers have been descri.ed i. the li.erature ***,there are a number of i.sues related to ti.e consumed and overall network performance when i. comes to bi. data *** the exi.ti.g method,less performed opti.i.ati.n algori.hms were used for opti.i.i.g the *** the proposed method,the Chaoti. Cuckoo Opti.i.ati.n algori.hm was used for feature selecti.n,and Convoluti.nal Support Vector Machi.e(CSVM)was *** research presents a method for analyzi.g healthcare i.formati.n that uses i. future *** major goal i. to take a vari.ty of data whi.e i.provi.g effi.i.ncy and mi.i.i.i.g process *** suggested method employs a hybri. method that i. di.i.ed i.to two *** the fi.st stage,i. reduces the features by usi.g the Chaoti. Cuckoo Opti.i.ati.n algori.hm wi.h Levy fli.ht,opposi.i.n-based learni.g,and di.tri.utor *** the second stage,CSVM i. used whi.h combi.es the benefi.s of convoluti.nal neural network(CNN)and *** CSVM modi.i.s CNN’s convoluti.n product to learn hi.den deep i.si.e data *** i.proved economi. flexi.i.i.y,greater protecti.n,greater analyti.s wi.h confi.enti.li.y,and lower operati.g cost,the suggested approach i. bui.t on fog *** results of the experi.ents show that the suggested method can mi.i.i.e the number of features i. the datasets,enhances the accuracy by 82%,and decrease the ti.e of the process.

关键词： Healthcare convoluti.nal support vector machi.e feature selecti.n chaoti. cuckoo opti.i.ati.n accuracy processi.g ti.e convoluti.nal neural network

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Energy Aware Data Collecti.n wi.h Route Planni.g for 6G Enabled UAV Communi.ati.n

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Computers, Materi.ls & Conti.ua 2022年第4期71卷 825-842页

作者： Mesfer Al Duhayyi. Marwa Obayya Fahd N.Al-Wesabi.Anwer Mustafa Hi.al mohammed Ri.wanullah Majdy M.eltahir Department of Natural and Appli.d Sci.nces College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Bi.medi.al Engi.eeri.g College of EngineeringPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer Sci.nce King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and i. Sana’a UniversitySana’aYemen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of i.formati.n Systems King Khalid UniversityMuhayel AseerSaudi Arabia

Wi.h technologi.al advancements i. 6G and i.ternet of Thi.gs(i.T), the i.corporati.n of Unmanned Aeri.l Vehi.les (UAVs) and cellularnetworks has become a hot research topi.. At present, the profi.i.nt evoluti.n of 6G networks allows the UAVs to offer cost-effecti.e and ti.elysoluti.ns for real-ti.e appli.ati.ns such as medi.i.e, tracki.g, survei.lance,etc. Energy effi.i.ncy, data collecti.n, and route planni.g are cruci.l processesto i.prove the network communi.ati.n. These processes are hi.hly di.fi.ultowi.g to hi.h mobi.i.y, presence of non-stati.nary li.ks, dynami. topology,and energy-restri.ted UAVs. Wi.h thi. moti.ati.n, the current research paperpresents a novel Energy Aware Data Collecti.n wi.h Routi.g Planni.g for6G-enabled UAV communi.ati.n (EADCRP-6G) techni.ue. The goal of theproposed EADCRP-6G techni.ue i. to conduct energy-effi.i.nt cluster-baseddata collecti.n and opti.al route planni.g for 6G-enabled UAV ***-6G techni.ue deploys i.proved Red Deer Algori.hm-based Clusteri.g (i.DAC) techni.ue to elect an opti.al set of Cluster Heads (CH) andorgani.e these clusters. Besi.es, Arti.i.i.l Fi.h Swarm-based Route Planni.g(AFSRP) techni.ue i. appli.d to choose an opti.um set of routes for UAVcommuni.ati.n i. 6G networks. i. order to vali.ated whether the proposedEADCRP-6G techni.ue enhances the performance, a seri.s of si.ulati.nswas performed and the outcomes were i.vesti.ated under di.ferent *** experi.ental results showcase that the proposed model outperformed allother exi.ti.g models under di.ferent evaluati.n parameters.

关键词： Unmanned aeri.l vehi.le 6G networks arti.i.i.l i.telli.ence energy effi.i.ncy clusteri.g route planni.g data collecti.n metaheuri.ti.s

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Fuzzy Logi. Power System Stabi.i.er

Fuzzy Logic Power System Stabilizer

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1996年中国智能自动化学术会议

作者： eltahir mohammed Hussei. Dept．of Automati.n and Electri.al i.formati.n Engi.eeri.g China Textile UniversityShanghai 200051P.R．China

Usi.g speed and power output devi.ti.ns as the controller i.put vari.bles, a fuzzy logi. based controller (FLC) has been developed to perform the functi.n of a power system stabi.azer and to provi.e a supplementary si.nal to the exci.ati.n system of a synchronous machi.e. The complete range for the vari.ti.n of each of the two controller i.puts i. represented by a 7×7 deci.i.n table i.e 49 rules. The FLC desi.n steps and a procedure for tuni.g i.s parameters are descri.ed.

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Bacteri.l Contami.ati.n of Dri.ki.g Water i. the i.ternally Di.placed People Camps i. South Darfur, Sudan

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Computati.nal Water, Energy, and Envi.onmental Engi.eeri.g 2013年第2期2卷 10-12页

作者： Yassi. mohammed eltahir Ami.a Ahmed Abdelrahman Department of Envi.onmental Health Admi.i.trati.n State ministry of Health South Darfur State Nyala Sudan Department of Preventi.e Medi.i.e and Veteri.ary Publi. Health Faculty of Veterinary Science Nyala University Nyala Sudan

A total of 240 water samples were collected duri.g the three seasons of 2009 from di.ferent si.es and sources i. the i.ternally di.placed camps (i.P) i.cludi.g bore holes, hand pumps, dug wells, water poi.ts, water reservoi. and household storage contai.ers. Samples were i.vesti.ated usi.g the most probable number method to detected and count the total coli.orm, faecal coli.orm and faecal enterococci. Enteri. bacteri. detected were E. coli. Enterococcus faecali., Klebsi.lla, Ci.robacter and Enterobacter .House hold contai.ers showed conti.uous level of contami.ati.n by all di.ferent bacteri. throughout the three seasons. Thi. was followed by hand pumps, both reservoi. and boreholes and dug wells. Water poi.ts revealed no level of contami.ati.n throughout the three seasons.

关键词： Water Mi.robi.logy Bacteri.l Contami.ati.n E.coli

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Fusi.n-Based Deep Learni.g Model for Automated Forest Fi.e Detecti.n

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Computers, Materi.ls & Conti.ua 2023年第10期77卷 1355-1371页

作者： Mesfer Al Duhayyi. Majdy M.eltahir Ola Abdelgney Omer Ali.Amani.Abdulrahman Albrai.an Fahd N.Al-Wesabi.Anwer Mustafa Hi.al Manar Ahmed Hamza mohammed Ri.wanullah Department of Natural and Appli.d Sci.nces College of Community-AflajPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Computer Sci.nce College of Science&Art at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia Department of i.formati.n Technology College of ComputerQassim UniversityAl-Bukairiyah52571Saudi Arabia Department of Computer Sci.nces College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia

Earth resource and envi.onmental moni.ori.g are essenti.l areas that can be used to i.vesti.ate the envi.onmental condi.i.ns and natural resources supporti.g sustai.able poli.y development,regulatory measures,and thei. i.plementati.n elevati.g the ***-scale forest fi.e i. consi.ered a major harmful hazard that affects cli.ate change and li.e over the ***,the early i.enti.i.ati.n of forest fi.es usi.g automated tools i. essenti.l to avoi. the spread of fi.e to a large ***,thi. paper focuses on the desi.n of automated forest fi.e detecti.n usi.g a fusi.n-based deep learni.g(AFFD-FDL)model for envi.onmental *** AFFDFDL techni.ue i.volves the desi.n of an entropy-based fusi.n model for feature *** combi.ati.n of the handcrafted features usi.g hi.togram of gradi.nts(HOG)wi.h deep features usi.g SqueezeNet and i.cepti.n v3 ***,an opti.al extreme learni.g machi.e(ELM)based classi.i.r i. used to i.enti.y the exi.tence of fi.e or *** order to properly tune the parameters of the ELM model,the opposi.i.nal glowworm swarm opti.i.ati.n(OGSO)algori.hm i. employed and thereby i.proves the forest fi.e detecti.n performance.A wi.e range of si.ulati.n analyses takes place on a benchmark dataset and the results are i.spected under several *** experi.ental results hi.hli.hted the betterment of the AFFD-FDL techni.ue over the recent state of art techni.ues.

关键词： Envi.onment moni.ori.g remote sensi.g forest fi.e detecti.n deep learni.g machi.e learni.g fusi.n model

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i.telli.ent Deer Hunti.g Opti.i.ati.n Based Gri. Scheduli.g Scheme

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Computers, Materi.ls & Conti.ua 2022年第7期72卷 181-195页

作者： Mesfer Al Duhayyi. Majdy M.eltahir i.ène i.saoui.Fahd N.Al-Wesabi.Anwer Mustafa Hi.al Fuad Ali.mohammed Al-Yari.i.Manar Ahmed Hamza Abu Sarwar Zamani Department of Natural and Appli.d Sci.nces College of Community-AflajPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Computer Sci.nce College of Science&Art at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia Department of Natural and Appli.d Sci.nces Community CollegeQassim UniversityAl-Bukairiyah52571Saudi Arabia Faculty of Computer and i. Sana’a UniversitySana’aYemen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia

The gri. envi.onment i. a dynami.,heterogeneous,and changeable computi.g system that di.tri.utes vari.us servi.es amongst di.ferent *** attai. the benefi.s of collaborati.e resource shari.g i. Gri. computi.g,a novel and profi.i.nt gri. resource management system(RMS)i. ***,detecti.n of an appropri.te resource for the presented task i. a di.fi.ult *** sci.nti.ts have presented algori.hms for mappi.g tasks to the *** of them focus on fault tolerance,user fulfi.lment,and load *** thi. moti.ati.n,thi. study desi.ns an i.telli.ent gri. scheduli.g scheme usi.g deer hunti.g opti.i.ati.n algori.hm(DHOA),called i.SS-DHOA whi.h schedules i. such a way that the makespan gets mi.i.i.ed i. the gri. *** i.SS-DHOA techni.ue i. mai.ly based on the hunti.g nature of humans toward *** also deri.es an objecti.e functi.n wi.h candi.ate soluti.n(schedule)as i.put and the outcome i. the makespan value denoti.g the quali.y of the candi.ate *** si.ulati.n results hi.hli.hted the supremacy of the i.SS-DHOA techni.ue over the recent state of art techni.ues wi.h the mi.i.al average processi.g cost of 31717.9.

关键词： Gri. servi.es gri. scheduli.g resources makespan np hard problem metaheuri.ti.s

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Analysi. and Assessment of Wi.d Energy Potenti.l of Al-Hodei.ah i. Yemen

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Computers, Materi.ls & Conti.ua 2021年第11期69卷 1995-2011页

作者： Fahd N.Al-Wesabi.Murad A.Almekhlafi.mohammed Abdullah Al-Hagery Mohammad Alamgeer Khali. Mahmood Majdy M.eltahir Ali.M.Al-Sharafi.Ami. M.El-Kustaban Department of Computer Sci.nce King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Faculty of Computer and i. Sana’a UniversitySana’aYemen Department of Electri.al Engi.eeri.g–Communi.ati.n Engi.eeri.g Sana’a UniversityYemen Department of Computer Sci.nce College of ComputerQassim UniversitySaudi Arabia Department of i.formati.n Systems King Khalid UniversityMayahel AseerKSA Department of Computer Sci.nce College of Computers and Information TechnologyUniversity of BishaKSA Department of Electroni. Faculty of EngineeringUSTSana’aYemen

Renewable energy i. one of the essenti.l elements of the soci.l and economi. development i. any ci.i.i.ed *** use of fossi. fuels and the non-renewable form of energy has many adverse effects on the most of *** the hi.h potenti.l of renewable energy sources i. Yemen and the absence of si.i.ar studi.s i. the regi.n,thi. study ai.ed to exami.e the wi.d energy potenti.l of Hodei.ah-Yemen Republi. by analyzi.g wi.d characteri.ti.s and assessment,determi.i.g the avai.able power densi.y,and calculate the wi.d energy extracted at di.ferent *** average wi.d speed of Hodei.ah was obtai.ed only for the data currently avai.able for the fi.e years 2005–2009(due to the current economi. and the poli.i.al si.uati.n i. Yemen).The results show that the average wi.d speed i. the fi.e years i.(25.2 W/m2 at 10 m,93.9 W/m2 at 30 m,and 173.5 W/m2 at 50 m).The average yearly wi.d power densi.y(25.2 W/m2 at 10 m,93.9 W/m2 at 30 m and 173.5 W/m2 at 50m),and the average yearly energy densi.y(220.8 KWh/m2/year at 10 m,822.6 KWh/m2/year at 30 m and 1519.9 KWh/m2/year at 50 m).Thi. research i. a preli.i.ary assessment of the potenti.l of wi.d energy i. Hodei.ah,whi.h provi.es useful i.formati.n for developi.g wi.d energy and an effi.i.nt wi.d *** to the i.ternati.nal Wi.d Energy Rati.g cri.eri.,the regi.n of Hodei.ah falls under‘Class 2’and i. classi.i.d as‘Margi.al’for most of the year.

关键词： Energy potenti.l wi.d speed wei.ull di.tri.uti.n wi.d power densi.y

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Fi.st-Li.e Drug Resi.tance Patterns of Mycobacteri.m tuberculosi. Complex i.olates from Re-Treatment Pati.nts from Sudan

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Journal of Tuberculosi. Research 2016年第3期4卷 98-104页

作者： Muatsi. Ahmed mohammed Adam Hamdan Mustafa Hamdan Ali.eltahir Awad Gasi. Khali. Nati.nal Tuberculosi. Reference Laboratory National Public Health Laboratory Federal Ministry of Health Khartoum Sudan Nati.nal Tuberculosi. Control Program Federal Ministry of Health Khartoum Sudan Tuberculosi. Research Group/i.sti.ute of Endemi. Di.eases University of Khartoum Khartoum Sudan

Drug suscepti.i.i.y testi.g (DST) plays a pi.otal role i. TB pati.nts’ management leadi.g to the selecti.n of most effecti.e drugs. Thi. study ai.ed to determi.e resi.tance patterns to fi.st li.e anti.TB drugs i. Mycobacteri.m tuberculosi. i.olates from re-treated pati.nts from Sudan. A total of 239 sputum speci.ens were collected from smear posi.i.e re-treatment TB pati.nts duri.g the peri.d from July 2009 to July 2010. Speci.ens were pre-treated accordi.g to Petroff method. The recovered i.olates were tested for sensi.i.i.y to fi.st li.e anti.TB drugs by the 1% proporti.n method. One hundred and forty three (143/239, 59.8%) mycobacteri.l i.olates were successfully recovered. The majori.y (98.6%, 141/143) of the i.olates were Mycobacteri.m tuberculosi. complex strai.s. Two strai.s (2/143, 1.4%) were i.enti.i.d as Ri./i.H-resi.tant MOTT, whi.e fi.ty four i.olates (38.3%, 54/141) were MDR. Multi. drug resi.tant Mycobacteri.m tuberculosi. complex (MDR-TB) among re-treatment pati.nts from nati.nal referral centers for tuberculosi. di.gnosi. and management was consi.erably hi.h i. the study i.olates.

关键词： MDR Sudan TB Re-Treatment DST

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