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Hepatobiliary manifestations following two-stages elective laparoscopic restorative proctocolectomy for patients with ulcerative colitis:A prospective observational study

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World Journal of Gastrointestinal Surgery 2023年第2期15卷 234-248页

作者： Tamer A A M Habeeb Abdulzahra Hussain Mauro Podda Pasquale Cianci Bruce Ramshaw Khaled Safwat Wesam M Amr Tamer Wasefy Alaa A Fiad Mohamed Ibrahim Mansour adel mahmoud moursi GamalOsman Anass Qasem Mohamed Fawzy Mohamed Ibrahim Abo Alsaad Abd-Elfattah Kalmoush MohammedShaaban Nassar Fawzy M Mustafa mahmoud Hassib Morsi Badawy Ahmed Hamdy Hamdi Elbelkasi Bassam Mousa Abd-Elrahman M Metwalli Walid A Mawla Mostafa M Elaidy Muhammad Ali Baghdadi Ahmed Raafat Department of General Surgery Faculty of MedicineZagazig UniversityZagazig 44759SharkiaEgypt Homerton University Hospital London E96SRUK Department of Surgical Science University of CagliariCagliari 2432Italy Department of Medical and Surgical Sciences Universitàdegli studi di FoggiaFoggia 546Italy MD CQInsights PBC Co-founder&CEOTennesseeTN 37010United States Department of Internal Medicine Zagazig UniversityZagazig 2355Egypt Department of Internal Medicine Suez UniversitySuez 235Egypt Department of General Surgery Faculty of Medicine-Merit UniversitySohag 82511Egypt Department of General Surgery Al-azhar UniversityCairo 285Egypt Department of Hepato-Bilio-Pancreatic(HBP)Surgery National Hepatology and Tropical Medicine Research InstituteCairo 285Egypt Department of General Surgery Mataryia Teaching HospitalCairo 285Egypt

BACKGROUND Hepatobiliary manifestations occur in ulcerative colitis(UC)*** effect of laparoscopic restorative proctocolectomy(LRP)with ileal pouch anal anastomosis(IPAA)on hepatobiliary manifestations is *** To evaluate hepatobiliary changes after two-stages elective laparoscopic restorative proctocolectomy for patients with *** Between June 2013 and June 2018,167 patients with hepatobiliary symptoms underwent two-stage elective LRP for UC in a prospective observational *** with UC and having at least one hepatobiliary manifestation who underwent LRP with IPAA were included in the *** patients were followed up for four years to assess the outcomes of hepatobiliary *** The patients'mean age was 36±8 years,and males predominated(67.1%).The most common hepatobiliary diagnostic method was liver biopsy(85.6%),followed by Magnetic resonance cholangiopancreatography(63.5%),Antineutrophil cytoplasmic antibodies(62.5%),abdominal ultrasonography(35.9%),and Endoscopic retrograde cholangiopancreatography(6%).The most common hepatobiliary symptom was Primary sclerosing cholangitis(PSC)(62.3%),followed by fatty liver(16.8%)and gallbladder stone(10.2%).66.4%of patients showed a stable course after *** or regressive courses occurred in 16.8%of *** was 6%,and recurrence or progression of symptoms required surgery for 15%.Most PSC patients(87.5%)had a stable course,and only 12.5%became ***-thirds(64.3%)of fatty liver patients showed a regressive course,while one-third(35.7%)showed a stable *** rates were 98.8%,97%,95.8%,and 94%at 12 mo,24 mo,36 mo,and at the end of the *** In patients with UC who had LRP,there is a positive impact on hepatobiliary *** caused an improvement in PSC and fatty liver *** most prevalent unchanged course was PSC,while the most common improvement was fatty liver disease.

关键词： Courses Hepatobiliary manifestations Primary sclerosing cholangitis Restorative proctocolectomy

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Stability Prediction in Smart Grid Using PSO Optimized XGBoost Algorithm with Dynamic Inertia Weight Updation

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 909-931页

作者： adel Binbusayyis Mohemmed Sha Department of Software Engineering College of Computer Engineering and Sciences in Al-Kharj Prince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia

Prediction of stability in SG(Smart Grid)is essential in maintaining consistency and reliability of power supply in grid *** the fluctuations in power generation and consumption patterns of smart cities assists in effectively managing continuous power supply in the *** also possesses a better impact on averting overloading and permitting effective energy *** though many traditional techniques have predicted the consumption rate for preserving stability,enhancement is required in prediction measures with minimized *** overcome the complications in existing studies,this paper intends to predict stability from the smart grid stability prediction dataset using machine learning *** accomplish this,pre-processing is performed initially to handle missing values since it develops biased models when missing values are mishandled and performs feature scaling to normalize independent data ***,the pre-processed data are taken for training and *** that,the regression process is performed using Modified PSO(Particle Swarm Optimization)optimized XGBoost Technique with dynamic inertia weight update,which analyses variables like gamma(G),reaction time(tau1–tau4),and power balance(p1–p4)for providing effective future stability in *** PSO attains optimal solution by adjusting position through dynamic inertial weights,it is integrated with XGBoost due to its scalability and faster computational speed *** hyperparameters of XGBoost are fine-tuned in the training process for achieving promising outcomes on *** results are measured through evaluation metrics such as MSE(Mean Square Error)of 0.011312781,MAE(Mean Absolute Error)of 0.008596322,and RMSE(Root Mean Square Error)of 0.010636156 and MAPE(Mean Absolute Percentage Error)value of 0.0052 which determine the efficacy of the system.

关键词： Smart Grid machine learning particle swarm optimization XGBoost dynamic inertia weight update

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Biliary fistula and late recurrence of liver hydatid cyst:Role of cystobiliary communication:A prospective multicenter study

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World Journal of Methodology 2023年第4期13卷 272-286页

作者： Tamer A A M Habeeb Mauro Podda Boris Tadic Vishal G Shelat Yaman Tokat Mohamed Ibrahim Abo Alsaad Abd-Elfattah Kalmoush Mohammed Shaaban Nassar Fawzy Metwally Mustafa mahmoud Hassib Morsi Badawy Mohamed Sobhy Shaaban Tarek Zaghloul Mohamed Mohammed Ibrahim El Sayed Henish Hamdi Elbelkasi mahmoud Abdou Yassin Abdelshafy Mostafa Amr Ibrahim Waleed A-Abdelhady TamerMohamed Elshahidy Mohamed Ibrahim Mansour adel mahmoud moursi Mohamed Abdallah Zaitoun EhabShehata Abd-Allah Ashraf Abdelmonem Elsayed Rasha S Elsayed Ahmed M Yehia Amr Abdelghani Mohamed Negm Heba Alhussein Abo-Alella Mostafa M Elaidy Department of General Surgery Faculty of Medicine Zagazig UniversitySharkia 44511Egypt Department of Surgical Science University of CagliariCagliari 09126Italy Clinic for Digestive Surgery–First Surgical Clinic University Clinical Centre of SerbiaBelgrade 11000Serbia Department of General Surgery Tan Tock Seng HospitalSingapore 018971Singapore Department of Liver Transplantation and Hepatobiliary Surgery IstanbulTurkeyInternational Liver Centerand Acibadem Hospital GroupIstanbul 34000Turkey Department of General Surgery Faculty of Medicine-Merit UniversitySohag 82511Egypt Department of General Surgery Faculty of MedicineAl-Azher UniversityCairo 11765Egypt Department of General Surgery Mataryia Teaching HospitalCairo 11765Egypt

BACKGROUND Hydatid cyst disease(HCD)is common in certain *** is associated with postoperative biliary fistula(POBF)and *** primary aim of this study was to identify whether occult cysto-biliary communication(CBC)can predict recurrent *** secondary aim was to assess the role of cystic fluid bilirubin and alkaline phosphatase(ALP)levels in predicting POBF and recurrent *** To identify whether occult CBC can predict recurrent *** secondary aim was to assess the role of cystic fluid bilirubin and ALP levels in predicting POBF and recurrent *** From September 2010 to September 2016,a prospective multicenter study was undertaken involving 244 patients with solitary primary superficial stage cystic echinococcosis 2 and cystic echinococcosis 3b HCD who underwent laparoscopic partial cystectomy with *** logistic regression analysis assessed independent factors determining biliary complications and *** There was a highly statistically significant association(P≤0.001)between cystic fluid biochemical indices and the development of biliary complications(of 16 patients with POBF,15 patients had high cyst fluid bilirubin and ALP levels),where patients with high bilirubin-ALP levels were 3405 times more likely to have biliary *** was a highly statistically significant association(P≤0.001)between biliary complications,biochemical indices,and the occurrence of recurrent HCD(of 30 patients with recurrent HCD,15 patients had high cyst fluid bilirubin and ALP;all 16 patients who had POBF later developed recurrent HCD),where patients who developed biliary complications and high bilirubin-ALP were 244.6 and 214 times more likely to have recurrent hydatid cysts,*** Occult CBC can predict recurrent *** cyst fluid bilirubin and ALP levels predicted POBF and recurrent HCD.

关键词： Cysto-biliary communication Echinococcus granulosus Hydatid disease recurrence Hydatid fluid analysis Laparoscopy

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Improved Harmony Search with Optimal Deep Learning Enabled Classification Model

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Computers, Materials & Continua 2022年第10期73卷 1783-1797页

作者： mahmoud Ragab adel A.Bahaddad Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre for Artificial Intelligence in Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Information Systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia

Due to drastic increase in the generation of data,it is tedious to examine and derive high level knowledge from the *** rising trends of high dimension data gathering and problem representation necessitates feature selection process in several machine learning *** feature selection procedure establishes a generally encountered issue of global combinatorial *** FS process can lessen the number of features by the removal of unwanted and repetitive *** this aspect,this article introduces an improved harmony search based global optimization for feature selection with optimal deep learning(IHSFS-ODL)enabled classification *** proposed IHSFS-ODL technique intends to reduce the curse of dimensionality and enhance classification *** addition,the IHSFSODL technique derives an IHSFS technique by the use of local search method with traditional harmony search algorithm(HSA)for global ***,ODL based classifier including quantum behaved particle swarm optimization(QPSO)with gated recurrent unit(GRU)is applied for data classification *** utilization of HSA for the choice of features and QPSO algorithm for hyper parameter tuning processes helps to accomplish maximum classification *** order to demonstrate the enhanced outcomes of the IHSFS-ODL technique,a series of simulations were carried out and the results reported the betterment over its recent state of art approaches.

关键词： Data classification feature selection global optimization deep learning metaheuristics

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Machine Learning Applied to Problem-Solving in Medical Applications

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Computers, Materials & Continua 2021年第11期69卷 2277-2294页

作者： mahmoud Ragab Ali Algarni adel A.Bahaddad Romany F.Mansour Department of Information Technology Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre for Artificial Intelligence in Precision Medicine King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Statistics Faculty of ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

Physical health plays an important role in overall well-being of the human *** is the most observed dimension of health among others such as social,intellectual,emotional,spiritual and environmental *** to exponential increase in the development of wireless communication techniques,Internet of Things(IoT)has effectively penetrated different aspects of human *** is one of the dynamic domains with ever-growing demands which can be met by IoT *** can be leveraged through several health service offerings such as remote health and monitoring services,aided living,personalized treatment,and so *** this scenario,Deep Learning(DL)models are employed in proficient disease *** current research work presents a new IoT-based physical health monitoring and management method using optimal Stacked Sparse Denoising Autoencoder(SSDA)technique i.e.,*** proposed model utilizes a set of IoT devices to collect the data from *** class problem poses serious challenges during disease diagnosis ***,the OSSDA model includes Synthetic Minority Over-Sampling Technique(SMOTE)to generate artificial minority class instances to balance the class ***,the hyperparameter settings of the OSSDA model exhibit heavy influence upon the classification performance of SSDA *** number of hidden layers,sparsity,and noise count are determined by Sailfish Optimizer(SFO).In order to validate the effectiveness and performance of the proposed OSSDA technique,a set of experiments was conducted on diabetes and heart disease *** simulation results portrayed a proficient diagnostic outcome from OSSDA technique over other *** proposed method achieved the highest accuracy values i.e.,0.9604 and 0.9548 on the applied heart disease and diabetes datasets respectively.

关键词： IoT patient monitoring physical health deep learning parameter tuning

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Integration of automatic voltage regulator and power system stabilizer: small-signal stability in DFIG-based wind farms

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Journal of Modern Power Systems and Clean Energy 2019年第5期7卷 1115-1128页

作者： Sirine ESSALLAH adel BOUALLEGUE adel KHEDHER Universite de Sousse Ecole Nationale d’Ingenieurs de SousseLATIS-Laboratory of Advanced Technology and Intelligent Systems4023 SousseTunisia

The increasing penetration of wind farms in the energy sector directly affects the dynamic behavior of the power *** increasing use of wind energy in the power system worsens its stability and inherently influences the firmness of a small *** investigate these effects,one of the synchronous generators(SGs)of the grid is considered defective and is replaced by a doubly fed induction generator(DFIG)-based wind farm of the same *** small-signal stability of a power system is usually evaluated via eigenvalue analysis where local-area and inter-area oscillatory modes for the New England test system are *** controls,such as automatic voltage regulator(AVR)and power system stabilizer(PSS),are added to attenuate the generated *** this study,the impact of wind energy on the small-signal stability of the power system is *** combinations of AVR and PSS types are considered to mitigate the undesirable alterations.A comparative study is performed based on numerical simulations to choose the best combination of AVR and PSS *** obtained results prove that the proposed combination yields good results in terms of stability enhancement both under normal operating conditions and in DFIG-based wind farms.

关键词： Power system stability Power transmission system Transient analysis Voltage regulation

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Mathematical Modelling of Quantum Kernel Method for Biomedical Data Analysis

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Computers, Materials & Continua 2022年第6期71卷 5441-5457页

作者： mahmoud Ragab Ehab Bahauden Ashary Maha Farouk S.Sabir adel A.Bahaddad Romany F.Mansour Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre of Artificial Intelligence for Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Electrical and Computer Engineering Department Faculty of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia Information Systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics Department Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

This study presents a novelmethod to detect themedical application based on Quantum Computing(QC)and a few Machine Learning(ML)*** has a primary advantage i.e.,it uses the impact of quantum parallelism to provide the consequences of prime factorization issue in a matter of ***,this model is suggested for medical application only by recent researchers.A novel strategy i.e.,Quantum KernelMethod(QKM)is proposed in this paper for data *** this QKM process,Linear Tunicate Swarm Algorithm(LTSA),the optimization technique is used to calculate the loss function initially and is aimed at medical *** output of optimization is either 0 or 1 i.e.,odd or even in *** this output value,the data is identified according to the ***,the method also reduces time,saves cost and improves the efficiency by feature selection process i.e.,Filter *** the features are extracted,QKM is deployed as a classification model,while the loss function is minimized by *** motivation of the minimal objective is to remain ***,some computations can be performed more efficiently by the proposed *** testing,the test data was evaluated by minimal loss *** outcomes were assessed in terms of accuracy,computational time,and so *** this,databases like Lymphography,Dermatology,and Arrhythmia were used.

关键词： Medical data classification feature selection qkm classifier ltsa optimization

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Ultra-Compact Photonic Crystal Based Water Temperature Sensor

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Photonic Sensors 2016年第3期6卷 274-278页

作者： mahmoud NIKOUFARD Masoud KAZEMI ALAMOUTI Alireza adel Department of Electronics Faculty of Electrical and Computer Engineering University of Kashan Kashan Iran

We design an ultra-compact water temperature sensor by using the photonic crystal technology on the InP substrate at the 1.55-μm wavelength window. The photonic crystal consists of rods in a hexagonal lattice and a polymethyl methacrylate （PMMA） background. By using the plane wave expansion （PWE） method, the lattice constant and radius of rods are obtained, 520nm and 80.6nm, respectively. With a nanocavity placed in the waveguide, a resonance peak is observed at the 1.55-μm wavelength window. Any change of the water temperature inside the nanocavity results in the shift of the resonance wavelength. Our simulations show a shift of about 11 nm for a temperature change of 22.5 ℃. The resonance wavelength has a linear relation with the water temperature.

关键词： Sensor water temperature InGaAsP material photonic crystal

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Introducing nitazoxanide as a promising alternative treatment for symptomatic to metronidazole-resistant giardiasis in clinical isolates

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Asian Pacific Journal of Tropical Medicine 2016年第9期9卷 866-871页

作者： Tahereh Mikaeili Galeh Abdolhassan Kazemi mahmoud Mahami-Oskouei Behzad Baradaran adel Spotin Seddigheh Sarafraz Majid Karamat Immunology Research Center Tabriz University of Medical Sciences Department of Parasitology and Mycology Faculty of MedicineTabriz University of Medical Sciences East Azerbaijan Province Health Center Tabriz Health Center

Objective:To identify the frequencies(F) of ferredoxin and nitroreductase mutations were identified on Iranian clinical isolates of Giardia lamblia in order to predict whether the nitazoxanide can be prescribed as suitable drug for symptomatic to metronidazoleresistant ***:Forty Giardia lamblia isolates as of 38 symptomatic and two metronidazole-resistant patients were collected from *** were extracted and amplified by targeting ferredoxin and Gl NR *** amplicons were directly sequenced to determine gene ***:The various amino acid substitutions(F:20%,Haplotype diversity:0.891,Tajima's D:-0.44013) were identified by analyzing ferredoxin gene in four symptomatic and two resistant ***,two haplotypes(F:5%,HD:0.345; Tajima's D:0.77815) characterized in metronidazole-resistant isolates of Gl NR,however,no point mutations was found in symptomatic ***:Non-synonymous mutations of ferredoxin oxidoreductase gene reduce translational regulatory protein's binding affinity which concludes reduction of ferredoxin expression and its *** leads to decrease in metronidazole drug delivery into the *** in these isolates may lead to their resistance to *** to low synonymous mutations of Gl NR demonstrates that nitazoxanide can be prescribed as promising alternative treatment for symptomatic to metronidazole-resistant giardiasis in Iranian clinical isolates.

关键词： Giardia lamblia Ferredoxin oxidoreductase Nitroreductase Nitazoxanide Metronidazole

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Enhancing Thermal Performance of a Parabolic Trough Collector with Inserting Longitudinal Fins in the Down Half of the Receiver Tube

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Journal of Thermal Science 2020年第5期29卷 1309-1321页

作者： LAARABA adel MEBARKI Ghazali Department of physics University of BatnalBatna 05000Algeria Faculty of Technology LESEI LaboratoryDepartment of Mechanical EngineeringUniversity of Batna2Batna 05000Algeria

Heat transfer in a finned absorber of a parabolic trough collector was studied numerically. The main aim of this work was to study the effect of attached fins on the enhancement of the thermal performance of a parabolic trough collector. The values of the fin's length varied from 0 to 20 mm;their thicknesses varied from 0 to 8 mm and their number was 5. The parameters used in the current study are: the thermal and dynamic field,friction coefficient, Nusselt number, the thermal efficiency and thermal enhancement index. Obtained results show that inclusion of fins to the lower half of the absorber tube can enhance the heat transfer between the absorber tube and working fluid. The increase of the fin*s length increases the friction factor, Nusselt number and thermal efficiency, and the increase of fin's thickness also increases the previous parameters. Starting the value 6 mm of thickness, its effect remains the same, but thickness is less effective than length. The values 15 mm of length and 6 mm of thickness are selected as optimal values. Results show that the inclusion of the fins enhances the thermal performance of the parabolic collector by 8.45%.

关键词： solar energy Nusselt number thermal efficiency parabolic trough collector forced convection

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