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Impact of cirrhosis on surgical outcome after pancreaticoduodenectomy

World Journal of Gastroenterology 2013年第41期19卷 7129-7137页

作者： Ayman El Nakeeb Ahmad M Sultan Tarek Salah mohamed El Hemaly Emad Hamdy Ali Salem Ahmed Moneer Rami Said Ahmed AbuEleneen Mostafa Abu Zeid Talaat Abdallah mohamed abdel wahab Gastroenterology surgical center Mansoura UniversityMansoura 35516Egypt

AIM:To elucidate surgical outcomes of pancreaticoduodenectomy(PD)in patients with liver ***:We studied retrospectively all patients who underwent PD in our centre between January 2002and December *** A comprised patients with cirrhotic livers,and Group B comprised patients with non-cirrhotic *** cirrhotic patients had ChildPugh classes A and B(patient’s score less than 8).Preoperative demographic data,intra-operative data and postoperative details were *** primary outcome measure was hospital mortality *** outcomes analysed included duration of the operation,postoperative hospital stay,postoperative morbidity and survival ***:Only 67/442 patients(15.2%)had cirrhotic *** blood loss and blood transfusion were significantly higher in group A(P=0.0001).The mean surgical time in group A was significantly longer than that in group B(P=0.0001).Wound complications(P=0.02),internal haemorrhage(P=0.05),pancreatic fistula(P=0.02)and hospital mortality(P=0.0001)were significantly higher in the cirrhotic *** stay was significantly longer in group A(P=0.03).The median survival was 19 mo in group A and 24 mo in group *** hypertension(PHT)was present in 16/67 cases of cirrhosis(23.9%).The intraoperative blood loss and blood transfusion were significantly higher in patients with PHT(P=0.001).Postoperative morbidity(0.07)and hospital mortality(P=0.007)were higher in cirrhotic patients with ***:Patients with periampullary tumours and well-compensated chronic liver disease should be routinely considered for PD at high volume centres with available expertise to manage liver *** is associated with an increased risk of postoperative morbidity in patients with liver cirrhosis;therefore,it is only recommended in patients with Child A cirrhosis without portal hypertension.

关键词： Periampullary tumour Liver cirrhosis Portal hypertension Pancreaticoduodenectomy

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Interrelationship between Toll-like receptors and infection after orthotopic liver transplantation

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World Journal of Transplantation 2020年第6期10卷 162-172页

作者： Mahmoud El-Bendary Mustafa Naemattalah Ahmed Yassen Naser Mousa Dina Elhammady Ahmed M Sultan mohamed abdel-wahab Department of Tropical Medicine and Hepatology Faculty of MedicineMansoura UniversityMansoura 35111Egypt Department of Medical Biochemistry Faculty of MedicineMansoura UniversityMansoura 35111Egypt Gastroenterology Surgical Centre Faculty of MedicineMansoura UniversityMansoura 35111Egypt

Early microbial recognition by the innate immune system is accomplished by Toll-like receptors(TLRs),with resultant initiation of a pro-inflammatory response against infecting *** spite of presence of an abundance of Toll-like receptors on the surface of the liver,gut bacteria does not elicit an inflammatory reaction in healthy individuals due to tolerance to these TLRs,suggesting that the inflammatory responses seen in the liver are the result of breakdown of this *** orthotopic liver transplantation is often life saving in many instances,death following this procedure is most commonly due to infection that occurs in up to 80%of transplant recipients,most commonly due to microbial causes in up to 70%of cases and viral infections in 20%,while fungal infections affect only 8%of *** probability of acquiring infection following hepatic transplantation is heightened due to affection of the innate immune defense mechanisms of the host following this *** nucleotide polymorphisms of TLRs have been associated with increased likelihood of either development of post-transplant infection or eradication of infecting ***,conflicting reports from other studies reveal that prevalence of this single nucleotide polymorphism is not increased in infected patients.

关键词： Toll like receptors Infection Liver transplantation Cirrhosis Immunity Orthotopic

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Molecular analysis of Pasteurella multocida strains isolated from fowl cholera infection in backyard chickens

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Asian Pacific Journal of Tropical Biomedicine 2014年第1期4卷 8-12页

作者： mohamed-Wael abdelazeem mohamed Moemen abdel Azeem mohamed abdel Mageed Department of Microbiology Faculty of Veterinary medicineSouth Valley University Department of Poultry Diseases Faculty of Veterinary MedicineAssiut University

Objective:To characterize Pasteurella isolated from backyard chickens using whole cell protein lysate profiles and random amplified polymorphic DNA(RAPD)techniques to show their genetic relationship because Pasteurclla multocida(***)is an important cause of fatal infections in backyard ***:Twenty one *** isolates were recovered previously from clinical cases of fowl cholera belonging to individual owners and phenotypically analysed using biochemical tests and serotyping were used far the genetic ***:Phylogenetic study based on both methods revealed that the recovered population of *** isolated from backyard chickens differs markedly,constituting a well-separated cluster and appearance of 3 distinguishing lineages with greater discrimination shown by RAPDPCR that resulted in two suclusters in cluster A and three subclusters in cluster B and were related greatly with capsular serogroups for the examined *** whole cell protein revealed the presence of dominant protein bands at approximately 41 and 61 kDa in all of the examined isolates that may be a virulent proteins share in the increasing of its *** distinctive bands ranged from 123 to 1534 ***:Based on the previous findings,there are three spreading clusters that may indicate the association of a small number of *** variants with the majority of cases suggesting that certain clones of *** are able to colonue the examined backyard ***,the ease and rapidity of RAPD-PCR support the use of this technique as alternative to the more labour-intensive SDS-PACE system for strain differentiation and epidemiological studies of avian *** application of RAPD technology to the examination of avian cholera outbreaks in commercially available flocks may facilitate more effective management of this disease by providing the potential to investigate correlations of *** genotypes,to identify aff

关键词： Pasteurella multocida Chickens Variation Molecular characterization

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Effects of connected and autonomous vehicle merging behavior on mainline human-driven vehicle

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Journal of Intelligent and Connected Vehicles 2022年第1期5卷 36-45页

作者： Lishengsa Yue mohamed abdel-Aty Zijin Wang Department of Civil Environmentaland Construction EngineeringUniversity of Central FloridaOrlandoFloridaUSA

Purpose–This study aims to evaluate the influence of connected and autonomous vehicle(CAV)merging algorithms on the driver behavior of human-driven vehicles on the ***/methodology/approach–Previous studies designed their merging algorithms mostly based on either the simulation or the restricted field testing,which lacks consideration of realistic driving behaviors in the merging *** study developed a multi-driver simulator system to embed realistic driving behavior in the validation of merging ***–Four types of CAV merging algorithms were evaluated regarding their influences on driving safety and driving comfort of the mainline vehicle *** results revealed significant variation of the algorithm ***,the results show that the reference-trajectory-based merging algorithm may outperform the social-psychology-based merging algorithm which only considers the ramp ***/value–To the best of the authors’knowledge,this is the first time to evaluate a CAV control algorithm considering realistic driver interactions rather than by the *** achieve the research purpose,a novel multi-driver driving simulator was developed,which enables multi-drivers to simultaneously interact with each other during a virtual driving *** results are expected to have practical implications for further improvement of the CAV merging algorithm.

关键词： Driving simulator Connected and autonomous vehicle Merging algorithm Merging behavior Safety and comfort Driving safety Driving comfort

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Network Analysis for Projects with High Risk Levels in Uncertain Environments

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Computers, Materials & Continua 2022年第1期70卷 1281-1296页

作者： mohamed abdel-Basset Asmaa Atef mohamed Abouhawwash Yunyoung Nam Nabil M.abdelAziz Faculty of Computers and Informatics Zagazig UniversityZagazig44519Egypt Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast Lansing48824MIUSA Department of Computer Science and Engineering Soonchunhyang UniversityAsan31538Korea

The critical path method is one of the oldest and most important techniques used for planning and scheduling *** main objective of project management science is to determine the critical path through a network representation of *** critical path through a network can be determined by many algorithms and is useful for managing,monitoring,and controlling the time and cost of an entire *** essential problem in this case is that activity durations are uncertain;time presents considerable uncertainty because the time of an activity is not always easily or accurately *** issue increases the need to use neutrosophic theory to solve the critical path ***-world problems are characterized by a lack of precision,consistency,and *** concept of neutrosophic sets has been introduced as a generalization of fuzzy,intuitionistic fuzzy,and crisp sets to overcome the ambiguity surrounding real-world ***-,falsity-,and indeterminacy-membership functions are used to express neutrosophic *** study was performed to examine a neutrosophic event-oriented algorithm for determining the critical path in activity-on-arc *** activity time estimates are presented as trapezoidal neutrosophic numbers,and score and accuracy functions are used to obtain a crisp model of the *** appropriate numerical example is then used to explain the proposed method.

关键词： Project management project life cycle project planning project scheduling CPM neutrosophic set theory trapezoidal neutrosophic number

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Thermal noise-driven resonant sensors

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Microsystems & Nanoengineering 2024年第3期10卷 259-271页

作者： Yan Qiao Alaaeldin Elhady mohamed Arabi Eihab abdel-Rahman Wenming Zhang School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghaiChina Department of Systems Design Engineering University of WaterlooWaterlooONCanada

MEMS/NEMS resonant sensors hold promise for minute mass and force ***,one major challenge is that conventional externally driven sensors inevitably encounter undesired intrinsic noise,which imposes a fundamental limitation upon their signal-to-noise ratio(SNR)and,consequently,the ***,this restriction becomes increasingly pronounced as sensors shrink to the *** this work,we propose a counterintuitive paradigm shift that turns intrinsic thermal noise from an impediment to a constituent of the sensor by harvesting it as the driving force,obviating the need for external actuation and realizing‘noise-driven’*** sensors employ the dynamically amplified response to thermal noise at resonances for stimulus *** demonstrate that lightly damped and highly compliant nano-structures with high aspect ratios are promising candidates for this class of *** overcome the phase incoherence of the drive force,three noise-enabled quantitative sensing mechanisms are *** validated our sensor paradigm by experimental demonstrating noise-driven pressure and temperature ***-driven sensors offer a new opportunity for delivering practical NEMS sensors that can function at room temperature and under ambient pressure,and a development that suggests a path to cheaper,simpler,and low-power-consumption sensors.

关键词： noise resonant overcome

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Morphology and Phylogeny of Taeniacanthus yamagutii Shiino,1957(Hexanauplia:Taeniacanthidae),a Copepod Infecting the Gills of Rosy Goatfish Parupeneus rubescens(Mullidae)in the Arabian Gulf

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Journal of Ocean University of China 2020年第6期19卷 1409-1420页

作者： abdel-GABER Rewaida AL-QURAISHY Saleh DKHIL mohamed A ALGHAMDI Masheil ALGHAMDI Jawahir KADRY mohamed Zoology Department College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia Zoology Department Faculty of ScienceCairo UniversityCairo 12613Egypt Department of Zoology and Entomology Faculty of ScienceHelwan UniversityCairo 11794Egypt

The present study was to investigate the copepodid species infecting rosy goatfish Parupeneus rubescens,one of the most economically important fishes in the Arabian Gulf.A copepodid species identified from the examined fish specimens belongs to the Taeniacanthidae family and is labeled as Taeniacanthus yamagutii Shiino,1957,mainly depending on its morphological,morphometric,and ultrastructural characteristics,in particular the presence of maxilliped claw with a conspicuous digitiform process at the base,the terminal process of the second maxilla stout,and a setiform element at the tip of each exopod spine of legs *** order to ensure the accurate identification and exact taxonomic characterization of this species,the 28S rRNA gene sequence was *** result revealed that the present copepodid species belong to the Taenicanthidae family and has a close relationship with Taeniacanthus yamagutii(gb|KR048852.1)in the same *** present study demonstrated that the rosy goatfish is a host for Taeniacanthus species,which will be helpful to prevent this parasitic infection.

关键词： parasitic copepods Taeniacanthidae Taeniacanthus spp. Arabian Gulf

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Autonomous Unmanned Aerial Vehicles Based Decision Support System for Weed Management

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Computers, Materials & Continua 2022年第10期73卷 899-915页

作者： Ashit Kumar Dutta Yasser Albagory Abdul Rahaman wahab Sait Ismail mohamed Keshta Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityAd DiriyahRiyadh13713Kingdom of Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Kingdom of Saudi Arabia Department of Archives and Communication King Faisal UniversityAl AhsaHofuf31982Kingdom of Saudi Arabia

Recently,autonomous systems become a hot research topic among industrialists and academicians due to their applicability in different domains such as healthcare,agriculture,industrial automation,*** the interesting applications of autonomous systems,their applicability in agricultural sector becomes *** unmanned aerial vehicles(UAVs)can be used for suitable site-specific weed management(SSWM)to improve crop *** spite of substantial advancements in UAV based data collection systems,automated weed detection still remains a tedious task owing to the high resemblance of weeds to the *** recently developed deep learning(DL)models have exhibited effective performance in several data classification *** this aspect,this paper focuses on the design of autonomous UAVs with decision support system for weed management(AUAV-DSSWM)*** proposed AUAV-DSSWM technique intends to identify the weeds by the use of UAV images acquired from the target ***,the AUAV-DSSWM technique primarily performs image acquisition and image pre-processing ***,the Adam optimizer with You Only Look Once Object Detector-(YOLOv3)model is applied for the detection of *** the effective classification of weeds and crops,the poor and rich optimization(PRO)algorithm with softmax layer is *** design of Adam optimizer and PRO algorithm for the parameter tuning process results in enhanced weed detection performance.A wide range of simulations take place on UAV images and the experimental results exhibit the promising performance of the AUAV-DSSWM technique over the other recent techniques with the accy of 99.23%.

关键词： Autonomous systems object detection precision agriculture unmanned aerial vehicles deep learning parameter tuning

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Medical Feature Selection Approach Based on Generalized Normal Distribution Algorithm

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Computers, Materials & Continua 2021年第12期69卷 2883-2901页

作者： mohamed abdel-Basset Reda mohamed Ripon K.Chakrabortty Michael J.Ryan Yunyoung Nam mohamed Abouhawwash Faculty of Computers and Informatics Zagazig UniversityZagazig44519Egypt Capability Systems Centre School of Engineering and ITUNSWCanberraAustralia Department of Computer Science and Engineering Soonchunhyang UniversityAsan31538Korea Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast Lansing48824MIUSA

This paper proposes a new pre-processing technique to separate the most effective features from those that might deteriorate the performance of the machine learning classifiers in terms of computational costs and classification accuracy because of their irrelevance,redundancy,or less information;this pre-processing process is often known as feature *** technique is based on adopting a new optimization algorithm known as generalized normal distribution optimization(GNDO)supported by the conversion of the normal distribution to a binary one using the arctangent transfer function to convert the continuous values into binary ***,a novel restarting strategy(RS)is proposed to preserve the diversity among the solutions within the population by identifying the solutions that exceed a specific distance from the best-so-far and replace them with the others created using an effective updating *** strategy is integrated with GNDO to propose another binary variant having a high ability to preserve the diversity of the solutions for avoiding becoming stuck in local minima and accelerating convergence,namely improved GNDO(IGNDO).The proposed GNDO and IGNDO algorithms are extensively compared with seven state-of-the-art algorithms to verify their performance on thirteen medical instances taken from the UCI *** is shown to be superior in terms of fitness value and classification accuracy and competitive with the others in terms of the selected *** the principal goal in solving the FS problem is to find the appropriate subset of features that maximize classification accuracy,IGNDO is considered the best.

关键词： Generalized normal distribution optimization feature selection transfer function novel restarting strategy UCI repository

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An Improved Jellyfish Algorithm for Multilevel Thresholding of Magnetic Resonance Brain Image Segmentations

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Computers, Materials & Continua 2021年第9期68卷 2961-2977页

作者： mohamed abdel-Basset Reda mohamed mohamed Abouhawwash Ripon K.Chakrabortty Michael J.Ryan Yunyoung Nam Faculty of Computers and Informatics Zagazig UniversityZagazig44519Egypt Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA Capability Systems Centre School of Engineering and ITUNSW CanberraAustralia Department of Computer Science and Engineering Soonchunhyang UniversityAsan31538Korea

Image segmentation is vital when analyzing medical images,especially magnetic resonance(MR)images of the ***,several image segmentation techniques based on multilevel thresholding have been proposed for medical image segmentation;however,the algorithms become trapped in local minima and have low convergence speeds,particularly as the number of threshold levels ***,in this paper,we develop a new multilevel thresholding image segmentation technique based on the jellyfish search algorithm(JSA)(an optimizer).We modify the JSA to prevent descents into local minima,and we accelerate convergence toward optimal *** improvement is achieved by applying two novel strategies:Rankingbased updating and an adaptive ***-based updating is used to replace undesirable solutions with other solutions generated by a novel updating scheme that improves the qualities of the removed *** develop a new adaptive strategy to exploit the ability of the JSA to find a best-so-far solution;we allow a small amount of exploration to avoid descents into local *** two strategies are integrated with the JSA to produce an improved JSA(IJSA)that optimally thresholds brain MR *** compare the performances of the IJSA and JSA,seven brain MR images were segmented at threshold levels of 3,4,5,6,7,8,10,15,20,25,and *** was compared with several other recent image segmentation algorithms,including the improved and standard marine predator algorithms,the modified salp and standard salp swarm algorithms,the equilibrium optimizer,and the standard JSA in terms of fitness,the Structured Similarity Index Metric(SSIM),the peak signal-to-noise ratio(PSNR),the standard deviation(SD),and the Features Similarity Index Metric(FSIM).The experimental outcomes and the Wilcoxon rank-sum test demonstrate the superiority of the proposed algorithm in terms of the FSIM,the PSNR,the objective values,and the SD;in terms of the SSIM,IJSA was competitive with

关键词： Magnetic resonance imaging brain image segmentation artificial jellyfish search algorithm ranking method local minima Otsu method

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