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Assessment of Genetic and Immunological Factors Associated with Hepatitis C Infection in Saudi Hemodialysis Patients

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j.urnal of Biosciences and Medicines 2014年第1期2卷 51-57页

作者： alhusain j. alzahrani Obeid E. Obeid Amein K. Alali Samir Al-Mueilo Yazeed Al-Sheihk Maaz Ulhasan Department of Biochemistry College of Medicine University of Dammam Dammam KSA Department of Clinical Laboratory Sciences College of Applied Medical Sciences King Saud University Riyadh KSA Department of General Surgery King Fahad Medical City Riyadh KSA Department of Internal Medicine College of Medicine University of Dammam Dammam KSA Department of Microbiology College of Medicine University of Dammam Dammam KSA

The association of human leukocyte antigen (HLA) genotype and hepatitis C virus (HCV) infection has been reported in many populations. In addition, the HLA genotype distribution has been found to differ according to ethnicity. Currently, there are no published data concerning this relationship in the Saudi population. Therefore, the primary obj.ctive of this study was to determine the relationship between HLA genotype and HCV infection in a group of haemodialysis patients in a tertiary hospital in the Eastern Province of Saudi Arabia. A total of 152 haemodialysis patients and 160 controls were enrolled in the study. The patient group included 91 males and 61 females with a mean age of 48 years, who had been on haemodialysis for a period of 6 months to five years. The control group was randomly selected from donors attending the blood bank and included 155 males and five females with a mean age of 38 years. Of the patient group, 27 (17.8%) were found to have HCV antibodies by EIA. The seropositivity was confirmed by RIBA and by RT-PCR. The average viral load was 15 × 103 HCV RNA per 10 μl of plasma. The predominant HCV genotype was found to be genotype 4. HLA-class I and HLA class II were screened in 27 HCV-positive patients and in 30 age and sex matched controls by polymerase chain reaction/sequence specific primers (PCR/SSP) method. Measurements of cytokines Interleukin-2, 10, IFN-γ and TNFα showed that IL-2 level was 17.65 - 20.3 pg/l;IFN-γ was 22.15 - 41.1 pg/l;TNF-α was 2.5 - 5.6 pg/mL and IL-10 was 10.7 - 14.8 pg/mL. Measurement of CD markers showed the following: CD3 cells were measured. There was no correlation between infection with HCV and HLA type, cytokines levels and levels of different cell populations. CD markers are similar in the HCV-positive and HCV-negative hemodialysis patients. Further analysis and comparisons are needed, especially between the cytokines and CD markers in the hemodialysis patients and control groups.

关键词： HLA CD Molecules Cytokines HCV Hemodialysis Patients

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Burden of routine orthopedic implant removal a single center retrospective study

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World j.urnal of Orthopedics 2024年第2期15卷 139-146页

作者： Ammar K AlOmran Nader Alosaimi Ahmed A Alshaikhi Omar M Bakhurj. Khalid j.alzahrani Basil Ziyad Salloot Tamim Omar Alabduladhem Ahmed I AlMulhim Arwa Alumran Department of Orthopedic College of MedicineImam Abdulrahman Bin Faisal UniversityDammam 31441Saudi Arabia Health Information Management and Technology Department Imam Abdulrahman Bin Faisal UniversityDammam 31441Saudi Arabia

BACKGROUND Open reduction and internal fixation represent prevalent orthopedic procedures,sparking ongoing discourse over whether to retain or remove asymptomatic *** consensus on this matter is paramount for orthopedic *** study aims to quantify the impact of routine implant removal on patients and healthcare facilities.A retrospective analysis of implant removal cases from 2016 to 2022 at King Fahad Hospital of the University(KFHU)was conducted and subj.cted to statistical *** these cases,44%necessitated hospitalization exceeding one day,while 56%required only a single *** exhibited a 55%need for extended hospital stays,contrasting with 22.8%among the pediatric *** complication rate was 6%,with all patients experiencing at least one ***,34.1%required sick leave and 4.8%exceeded 14 *** anesthesia was predominant(88%).Routine implant removal introduces unwarranted complications,particularly in adults,potentially prolonging *** procedure strains hospital resources,tying up the operating room that could otherwise accommodate critical *** defined institutional guidelines are imperative to regulate this *** To measure the burden of routine implant removal on the patients and *** This is a retrospective analysis study of 167 routine implant removal cases treated at KFHU,a tertiary hospital in Saudi *** were collected in the orthopedic department at KFHU from February 2016 to August 2022,which includes routine asymptomatic implant removal cases across all age *** indications such as infection,pain,implant failure,malunion,nonunion,restricted range of motion,and prominent hardware were *** who had external fixators removed or j.ints replaced were also *** Between February 2016 and August 2022,360 implants were retrieved;however,only 167 of those who met the inclusion criteria were included in this

关键词： Implant removal Healed fracture Orthopedic implant Complications Healthcare system

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Intelligent Forensic Investigation Using Optimal Stacked Autoencoder for Critical Industrial Infrastructures

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Computers, Materials & Continua 2022年第8期72卷 2275-2289页

作者： Abdullah S.AL-Malaise AL-Ghamdi Mahmoud Ragab F.j.Alsolami Hani Choudhry Ibrahim Rizqallah alzahrani Information Systems Department Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia 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 Computer Science Department Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Biochemistry Department Faculty of ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia Computer Science and Engineering Department College of Computer Science and EngineeringUniversity of Hafr Al BatinAl JamiahHafar Al Batin39524Saudi Arabia

Industrial Control Systems(ICS)can be employed on the industrial processes in order to reduce the manual labor and handle the complicated industrial system processes as well as communicate *** of Things(IoT)integrates numerous sets of sensors and devices via a data network enabling independent *** incorporation of the IoT in the industrial sector leads to the design of Industrial Internet of Things(IIoT),which find use in water distribution system,power plants,*** the IIoT is susceptible to different kinds of attacks due to the utilization of Internet connection,an effective forensic investigation process becomes *** study offers the design of an intelligent forensic investigation using optimal stacked autoencoder for critical industrial *** proposed strategy involves the design of manta ray foraging optimization(MRFO)based feature selection with optimal stacked autoencoder(OSAE)model,named MFROFS-OSAE *** primary obj.ctive of the MFROFS-OSAE technique is to determine the presence of abnormal events in critical industrial ***-OSAE approach involves several subprocesses namely data gathering,data handling,feature selection,classification,and parameter ***,the MRFO based feature selection approach is designed for the optimal selection of feature ***,the OSAE based classifier is derived to detect abnormal events and the parameter tuning process is carried out via the coyote optimization algorithm(COA).The performance validation of the MFROFS-OSAE technique takes place using the benchmark dataset and the experimental results reported the betterment of the MFROFS-OSAE technique over the recent approaches interms of different measures.

关键词： Industrial control systems internet of things artificial intelligence feature selection deep learning

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Taxonomic Studies on Some Members of the Genus <i>Abutilon</i>Mill. (Malvaceae)

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American j.urnal of Plant Sciences 2021年第2期12卷 199-220页

作者： Dhafer A. alzahrani Enas j. Albokhari Abrar Khoj Department of Biological Sciences Faculty of Sciences King Abdulaziz University Jeddah Saudi Arabia Department of Biological Sciences Faculty of Applied Sciences Umm Al-Qura University Makkah Saudi Arabia

The relationship between six Abutilon species was examined using different taxonomic investigation tools. The investigation was carried out using morphological and numerical studies. Fresh materials of Abutilon species were collected from different localities in Saudi Arabia during 2018 and 2019. Numerical analysis was based on the Principle Coordinates, the Principle Component and the Unweighted Pair Group Method with Arithmetic Algorithm Clustering. The results indicated that there were significant differences based on the morphological characters especially in the leaves, fruits and flowers features. Morphometric studies revealed that the six species of Abutilon clearly separated in all different analysis.

关键词： Taxonomy Malvaceae Abutilon Morphological Characters Morphometric Analysis UPGMA PCoA PCA

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Immune evasion strategies used by Helicobacter pylori

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World j.urnal of Gastroenterology 2014年第36期20卷 12753-12766页

作者： Taslima T Lina Shatha alzahrani j.zmin Gonzalez Irina V Pinchuk Ellen j.Beswick Victor E Reyes Department of Microbiology and Immunology University of Texas Medical Branch Galveston TX 77555 United States MS-III School of Medicine University of Texas Medical Branch Galveston TX 77555 United States Department of Internal Medicine University of Texas Medical Branch Galveston TX 77555 United States Departments of Molecular Genetics and Microbiology University of New Mexico Health Sciences Center Albuquerque NM 87131 United States Departments of Pediatrics and Microbiology and Immunology University of Texas Medical Branch Galveston TX 77555 United Statest

Helicobacter pylori(H. pylori) is perhaps the most ubiquitous and successful human pathogen, since it colonizes the stomach of more than half of humankind. Infection with this bacterium is commonly acquired during childhood. Once infected, people carry the bacteria for decades or even for life, if not treated. Persistent infection with this pathogen causes gastritis, peptic ulcer disease and is also strongly associated with the development of gastric cancer. Despite induction of innate and adaptive immune responses in the infected individual, the host is unable to clear the bacteria. One widely accepted hallmark of H. pylori is that it successfully and stealthily evades host defense mechanisms. Though the gastric mucosa is well protected against infection, H. pylori is able to reside under the mucus, attach to gastric epithelial cells and cause persistent infection by evading immune responses mediated by host. In this review, we discuss how H. pylori avoids innate and acquired immune response elements, uses gastric epithelial cells as mediators to manipulate host T cell responses and uses virulence factors to avoid adaptive immune responses by T cells to establish a persistent infection. We also discuss in this review how the genetic diversity of this pathogen helps for its survival.

关键词： Helicobacter pylori Immune response Pattern recognition receptors Phagocytes T cells Antigen presenting cells Gastric epithelial cells Vacuolating cytotoxin T4SS

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Effect of Helicobacter pylori on gastric epithelial cells

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World j.urnal of Gastroenterology 2014年第36期20卷 12767-12780页

作者： Shatha alzahrani Taslima T Lina j.zmin Gonzalez Irina V Pinchuk Ellen j.Beswick Victor E Reyes Department of Microbiology and Immunology University of Texas Medical Branch Galveston TX 77555 United States MSIII School of Medicine University of Texas Medical Branch Galveston TX 77555 United States Department of Internal Medicine University of Texas Medical Branch Galveston TX 77555 United States Departments of Molecular Genetics and Microbiology University of New Mexico Health Sciences Center Albuquerque NM 87131 United States Departments of Pediatricsand and Microbiology and Immunology University of Texas Medical Branch Galves-ton TX 77555 United States

The gastrointestinal epithelium has cells with features that make them a powerful line of defense in innate mucosal immunity. Features that allow gastrointestinal epithelial cells to contribute in innate defense include cell barrier integrity, cell turnover, autophagy, and innate immune responses. Helicobacter pylori (H. pylori) is a spiral shape gram negative bacterium that selectively colonizes the gastric epithelium of more than half of the world’s population. The infection invariably becomes persistent due to highly specialized mechanisms that facilitate H. pylori’s avoidance of this initial line of host defense as well as adaptive immune mechanisms. The host response is thus unsuccessful in clearing the infection and as a result becomes established as a persistent infection promoting chronic inflammation. In some individuals the associated inflammation contributes to ulcerogenesis or neoplasia. H. pylori has an array of different strategies to interact intimately with epithelial cells and manipulate their cellular processes and functions. Among the multiple aspects that H. pylori affects in gastric epithelial cells are their distribution of epithelial j.nctions, DNA damage, apoptosis, proliferation, stimulation of cytokine production, and cell transformation. Some of these processes are initiated as a result of the activation of signaling mechanisms activated on binding of H. pylori to cell surface receptors or via soluble virulence factors that gain access to the epithelium. The multiple responses by the epithelium to the infection contribute to pathogenesis associated with H. pylori.

关键词： Helicobacter pylori Apoptosis Gastric epithelial cells Proinflammatory cytokines Chronic inflammation Gastric diseases Gastric cancer

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Query Optimization Framework for Graph Database in Cloud Dew Environment

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Computers, Materials & Continua 2023年第1期74卷 2317-2330页

作者： Tahir Alyas Ali alzahrani Yazed Alsaawy Khalid Alissa Qaiser Abbas Nadia Tabassum Department of Computer Science Lahore Garrison UniversityLahorePakistan Faculty of Computer Science and Information Systems Islamic University Madinah Madinah42351Saudi Arabia Networks and Communications Department College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Science Virtual University of PakistanLahorePakistan

The query optimizer uses cost-based optimization to create an execution plan with the least cost,which also consumes the least amount of *** challenge of query optimization for relational database systems is a combinatorial optimization problem,which renders exhaustive search impossible as query sizes *** in CPU performance have surpassed main memory,and disk access speeds in recent decades,allowing data compression to be used—strategies for improving database performance *** performance enhancement,compression and query optimization are the two most *** reduces the volume of data,whereas query optimization minimizes execution *** the database reduces memory requirement,data takes less time to load into memory,fewer buffer missing occur,and the size of intermediate results is more *** paper performed query optimization on the graph database in a cloud dew environment by considering,which requires less time to execute a *** factors compression and query optimization improve the performance of the *** research compares the performance of MySQL and Neo4j.databases in terms of memory usage and execution time running on cloud dew servers.

关键词： Query optimization compression cloud dew decompression graph database

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Battle Royale Optimization with Fuzzy Deep Learning for Arabic Sentiment Classification

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Computer Systems Science & Engineering 2023年第8期46卷 2619-2635页

作者： Manar Ahmed Hamza Hala j.Alshahrani j.ber S.alzahrani Heba Mohsen Mohamed I.Eldesouki Mohammed Rizwanullah Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Applied Linguistics College of LanguagesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityMakkah 24211Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Aspect-Based Sentiment Analysis(ABSA)on Arabic corpus has become an active research topic in recent *** refers to a fine-grained Sentiment Analysis(SA)task that focuses on the extraction of the conferred aspects and the identification of respective sentiment polarity from the provided *** of the prevailing Arabic ABSA techniques heavily depend upon dreary feature-engineering and pre-processing tasks and utilize external sources such as *** literature,concerning the Arabic language text analysis,the authors made use of regular Machine Learning(ML)techniques that rely on a group of rare sources and *** sources were used for processing and analyzing the Arabic language content like ***,an important challenge in this domain is the unavailability of sufficient and reliable *** this background,the current study introduces a new Battle Royale Optimization with Fuzzy Deep Learning for Arabic Aspect Based Sentiment Classification(BROFDL-AASC)*** aim of the presented BROFDL-AASC model is to detect and classify the sentiments in the Arabic *** the presented BROFDL-AASC model,data pre-processing is performed at first to convert the input data into a useful ***,the BROFDL-AASC model includes Discriminative Fuzzy-based Restricted Boltzmann Machine(DFRBM)model for the identification and categorization of ***,the BRO algorithm is exploited for optimal fine-tuning of the hyperparameters related to the FBRBM *** scenario establishes the novelty of current *** performance of the proposed BROFDL-AASC model was validated and the outcomes demonstrate the supremacy of BROFDL-AASC model over other existing models.

关键词： Arabic corpus aspect based sentiment analysis arabic language deep learning battle royale optimization natural language processing

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Deer Hunting Optimization with Deep Learning Enabled Emotion Classification on English Twitter Data

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Computer Systems Science & Engineering 2023年第12期47卷 2741-2757页

作者： Abdelwahed Motwakel Hala j.Alshahrani j.ber S.alzahrani Ayman Yafoz Heba Mohsen Ishfaq Yaseen Amgad Atta Abdelmageed Mohamed I.Eldesouki Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Applied Linguistics College of LanguagesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityMakkahSaudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Currently,individuals use online social media,namely Facebook or Twitter,for sharing their thoughts and *** of emotions on social networking sites’finds useful in several applications in social welfare,commerce,public health,and so *** is expressed in several means,like facial and speech expressions,gestures,and written *** recognition in a text document is a content-based classification problem that includes notions from deep learning(DL)and natural language processing(NLP)*** article proposes a Deer HuntingOptimizationwithDeep Belief Network Enabled Emotion Classification(DHODBN-EC)on English Twitter Data in this *** presented DHODBN-EC model aims to examine the existence of distinct emotion classes in *** the introductory level,the DHODBN-EC technique pre-processes the tweets at different ***,the word2vec feature extraction process is applied to generate the word embedding *** emotion classification,the DHODBN-EC model utilizes the DBN model,which helps to determine distinct emotion class ***,the DHO algorithm is leveraged for optimal hyperparameter adj.stment of the DBN *** extensive range of experimental analyses can be executed to demonstrate the enhanced performance of the DHODBN-EC approach.A comprehensive comparison study exhibited the improvements of the DHODBN-EC model over other approaches with increased accuracy of 96.67%.

关键词： Deer hunting optimization deep belief network emotion classification Twitter data sentiment analysis english corpus

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Occupational inj.ries and burn out among orthopedic oncology surgeons

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World j.urnal of Orthopedics 2022年第12期13卷 1056-1063页

作者： Abdulrahman M Alaseem Robert E Turcotte Nathalie Ste-Marie Mohammad M alzahrani Saad M Alqahtani Krista A Goulding Department of Orthopedic Surgery College of MedicineKing Saud UniversityRiyadh 12372Saudi Arabia Department of Orthopedic Surgery McGill University Health CentreMontreal H4A3J1Canada Department of Orthopedic Surgery College of MedicineImam Abdulrahman Bin Faisal universityDammam 34212Saudi Arabia Department of Orthopaedic Surgery Mayo ClinicPhoenixArizona 85054USA

BACKGROUND Orthopedic oncology surgeons commonly engage in prolonged and complex surgical *** types of surgeries increase the risk of physical and psychological stressors,which may in turn make these physicians prone to workrelated occupational *** The aim of this study was to explore in orthopedic oncologists,the prevalence of work-related physical inj.ries and psychological *** A modified version of the physical discomfort survey was developed to assess occupational inj.ries among orthopedic oncology surgeon members of the Musculoskeletal Tumor Society,the Canadian Orthopedic Oncology Society and European Musculoskeletal Oncology *** survey was sent by email,and it explored musculoskeletal complaints,psychological disturbances,treatment required for these complaints and the requirement of time off *** A total of 67 surgeon responses were collected.A high number of orthopedic oncologists(84%)reported an occupational *** back pain(39%)was the most prevalent musculoskeletal condition,followed by lumbar disk herniation(16%),shoulder tendinitis(15%)and lateral epicondylitis(13%).Of the cohort,46%required surgery and 31%required time off work due to their ***-three respondents reported a psychological ***(27%),anxiety(20%)and insomnia(20%)were the most commonly *** required off work due to inj.ry was associated with old age and years in *** Orthopedic oncology surgeons report a high prevalence of work-related *** back related inj.ry and burnout were the most reported *** operative room ergonomics and prevention of stress related to the work environment should be areas to explore in upcoming research.

关键词： Orthopedic oncology Surgeons Occupational Musculoskeletal Inj.ries

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