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Psychological and Mental Health among Isolated Hospitalized Suspected and Confirmed COVID-19 Patients, Qatif Central Hospital, Eastern Province, Saudi Arabia: A Single-Center Descriptive Study

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Open Journal of Internal Medicine 2020年第3期10卷 245-255页

作者： Alya Hassan Alhajjaj Taaweel Hussain Al Abduljaber zainab ali alsadeq Fatimah Lateef Alkhabbaz Hoor Hussain Alobaidan Fatimah ali Al Saeed Jumana Mansour Al-Jishi Ghada ali Aljanobi Internal Medicine Department Qatif Central Hospital Al Qatīf Saudi Arabia Psychiatry Department Erada Complex for Mental Health Al Dammam Saudi Arabia

Introduction: During COVID-19 pandemic, isolation and quarantine as preventive measures have been implemented. Isolation is often a bad experience for isolated people and it could affect the psychological and mental health. Objectives: To study the impact of isolation on the psychological and mental health of isolated hospitalized suspected and confirmed COVID-19 patients. Material & Methods: A single-center cohort, descriptive survey involving isolated confirmed and suspected COVID-19 patients in Qatif central hospital, Eastern province, Saudi Arabia. The study was conducted between March 22 and April 18, 2020. Information was collected through an online Arabic-language questionnaire. Our sample included both male and female. Anxiety and depression symptoms during hospitalization were evaluated with the Hospital Anxiety and Depression Scale. Results: A total of 52 questionnaires were returned completed. The majority of the respondents were females (65.4%). Most of the participants were less than 60 years of age (90.4%). Three patients were known to have previous mental illness. About two-thirds of the participants were isolated in shared rooms. The duration of isolation was less than 10 days in 72.3% of our sample. Borderline and abnormal scores for depression and anxiety were observed in about 38.4%, and 17.3% of patients, respectively. Three patients had both abnormal depression and anxiety scores. Conclusion: Isolation for contagious infections such as COVID-19 could cause severe psychological health problems, though this was not supported by our study due to the small sample size. Further studies are needed to address this important issue which results from isolation during infectious outbreaks.

关键词： COVID-19 Psychological Isolation Qatif Saudi

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Perception beyond sight:Investigating the cognitive maps of congenitally blind individuals in urban environments

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Frontiers of Architectural Research 2024年第4期13卷 809-821页

作者： Anwar Ibrahim Hikmat Hali zainab Mahmoud College of Architecture and Design Jordan University of Science and TechnologyIrbidJordan College of Engineering and Architecture Al Yamamah UniversityRiyadhKSA

This study explores the challenges faced by congenitally blind individuals in navigating urban ***,this research investigates the factors that contribute to the construction of city mental mapping for individuals who are born ***-one congenitally blind individuals from the University of Jordan were asked to define and describe specific elements of the city based on their personal experiences and ***,participants were guided through two urban paths:familiar and *** participants were asked to complete a survey regarding their experiences during the *** collected data was analyzed by using thematic *** results revealed that congenitally blind individuals construct their mental image of the city by using their three senses of touching,hearing,and smelling,as well as their safety and *** mental image consists of five key elements:links,reference points,areas,separators,and *** the small size of the study sample and the specificity of the context,the results of this study will tremendously help planners in designing highly inclusive urban *** characteristics that can be recognized by the blinds will enhance their accessibility of urban spaces,encourage independent mobility,increase the quality of life and social inclusion for them.

关键词： Mental map City image Congenital blind Cognitive mapping Environmental perception

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Acute Transverse Myelitis in Pregnancy—A Case Report and a Literature Review

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Open Journal of Obstetrics and Gynecology 2024年第9期14卷 1512-1521页

作者： Huda Abbas ali Isa Fatema Hasan zainab Mohd Al Aswad Naeema Ahmed Abdulkareem Salmaniya Medical Complex Manama Bahrain Ob Gyn Faculty Arabian Gulf University Manama Bahrain

Purpose: This case report highlights a rare instance of a 26-week pregnant woman presenting with limb numbness, diagnosed with acute transverse myelitis (ATM) following COVID-19 vaccination. Notably, she tested positive for neuromyelitis optica (NMO) but did not exhibit the typical symptoms of blurred vision. Methods: Data were collected from I Seha in governmental hospitals in Bahrain, providing a comprehensive overview of the patient’s clinical journey. Results: The patient was treated with carbamazepine, steroids, and clexane, leading to the successful delivery of a healthy baby at 34 weeks. However, two years postpartum, she reported new episodes of blurred vision and numbness. Subsequent treatment with Rituximab resulted in significant improvement, with a diagnosis of Devic’s disease established. Conclusion: Acute transverse myelitis is a rare condition, particularly during pregnancy, and in this case, symptoms of Devic’s disease were masked by the absence of blurred vision. This condition predominantly affects females in their 20s during childbearing years and can lead to complications such as premature delivery. Effective management includes steroids and antiepileptic drugs, with clexane playing a crucial role in preventing embolisms. A delivery mode may vary based on obstetric factors, and MRI remains the gold standard for diagnosis. Close follow-up is essential for optimal patient outcomes.

关键词： Acute Transverse Myelitis (ATM) COVID-19 Devic’s Syndrome Neuromyelitis Optica (NMO) Obstetric Management of ATM

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Intrusion Detection System Through Deep Learning in Routing MANET Networks

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Intelligent Automation & Soft Computing 2023年第7期37卷 269-281页

作者： zainab ali Abbood DoguÇagdaşAtilla Çagatay Aydin Department Electrical and Computer Engineering Altinbas UniversityIstanbulTurkey Department Computer Technology Engineering Al-Esraa UniversityBaghdadIraq Electric Autonomous and Unmanned Vehicles Application and Research CentreAltinbas UniversityIstanbulTurkey Faculty of Engineering and Architecture Altinbas UniversityIstanbulTurkey Department Electrical and Electronics Engineering Ege UniversityIzmirTurkey

Deep learning(DL)is a subdivision of machine learning(ML)that employs numerous algorithms,each of which provides various explanations of the data it consumes;mobile ad-hoc networks(MANET)are growing in *** reasons including node mobility,due to MANET’s potential to provide small-cost solutions for real-world contact challenges,decentralized management,and restricted bandwidth,MANETs are more vulnerable to security *** protecting MANETs from attack,encryption and authentication schemes have their ***,deep learning(DL)approaches in intrusion detection sys-tems(IDS)can adapt to the changing environment of MANETs and allow a sys-tem to make intrusion decisions while learning about its mobility in the *** are a secondary deﬁance system for mobile ad-hoc networks *** since they monitor network trafﬁc and report anything ***,many scientists have employed deep neural networks(DNNs)to address intrusion detection *** paper used MANET to recognize com-plex patterns by focusing on security standards through efﬁciency determination and identifying malicious nodes,and mitigating network attacks using the three algorithms presented Cascading Back Propagation Neural Network(CBPNN),Feedforward-Neural-Network(FNN),and Cascading-Back-Propagation-Neural-Network(CBPNN)(FFNN).In addition to Convolutional-Neural-Network(CNN),these primary forms of deep neural network(DNN)building designs are widely used to improve the performance of intrusion detection systems(IDS)and the use of IDS in conjunction with machine learning(ML).Further-more,machine learning(ML)techniques than their statistical and logical methods provide MANET network learning capabilities and encourage adaptation to differ-ent *** with another current model,The proposed model has better average receiving packet(ARP)and end-to-end(E2E)*** results have been obtained from CBP,FFNN and CNN 74%,82%and 85%,respectively,by the ti

关键词： ARP CBPNN CNN DNN DL E2E FFNN IDS ML MANET security

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Numerical Investigation of the Pulsatile Flow of Viscous Fluid in Constricted Wall Channel with Thermal Radiation

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Advances in Applied Mathematics and Mechanics 2023年第4期15卷 1001-1022页

作者： Amjad ali zainab Bukhari Hamayun Farooq Zaheer Abbas Centre for Advanced Studies in Pure and Applied Mathematics(CASPAM) Bahauddin Zakariya UniversityMultan 60800Pakistan Department of Mathematics Islamia University of BahawalpurBahawalpur 63100Pakistan

The main theme of the current article is to investigate the heat transfer in the pulsatile flow of an electrically conducting viscous fluid in a constricted channel under the effect of the magnetic field and thermal *** unsteady governing equations simplified for low conducting fluids are solved numerically by finite difference method using stream-vorticity function *** influence of the flow parameters such as the Hartmann number(magnetic parameter),Strouhal number(flow pulsation parameter),Prandtl number,and radiation parameter is studied on the relevant flow *** influence of different emerging parameters on the skin friction coefficient and Nusselt number are examined,as *** general,the profiles are observed to exhibit a relatively more regular pattern upstream of the construction than that downstream of the constriction.

关键词： Constricted channel pulsatileflow thermal radiation magneticﬁeld Strouhal number Prandtl number

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Novel Framework of Segmentation 3D MRI of Brain Tumors

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Computers, Materials & Continua 2023年第2期74卷 3489-3502页

作者： Ibrahim Mahmoud El-Henawy Mostafa Elbaz zainab H.ali Noha Sakr Department of Computer Science Faculty of Computers and InformaticsZagazig UniversityZagazigEgypt Department of Computer Science Faculty of Computers and InformaticsKafrelsheikh UniversityKafrelsheikhEgypt Department of Embedded Network Sys.and Tec. Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikhEgypt Computers Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansouraEgypt

Medical image segmentation is a crucial process for computer-aided diagnosis and *** image segmentation refers to portioning the images into small,disjointed parts for simplifying the processes of analysis and *** and speckle noise are different types of noise in magnetic resonance imaging(MRI)that affect the accuracy of the segmentation process ***,image enhancement has a significant role in MRI *** paper proposes a novel framework that uses 3D MRI images from Kaggle and applies different diverse models to remove Rician and speckle noise using the best possible noise-free *** proposed techniques consider the values of Peak Signal to Noise Ratio(PSNR)and the level of noise as inputs to the attention-U-Net model for segmentation of the *** framework has been divided into three stages:removing speckle and Rician noise,the segmentation stage,and the feature extraction *** framework presents solutions for each problem at a different stage of the *** the first stage,the framework uses Vibrational Mode Decomposition(VMD)along with Block-matching and 3D filtering(Bm3D)algorithms to remove the ***,the most significant Rician noise-free images are passed to the three different methods:Deep Residual Network(DeRNet),Dilated Convolution Auto-encoder Denoising Network(Di-Conv-AE-Net),andDenoising Generative Adversarial Network(DGAN-Net)for removing the speckle *** Bm3D have achieved PSNR values for levels of noise(0,0.25,0.5,0.75)for reducing the Rician noise by(35.243,32.135,28.214,24.124)and(36.11,31.212,26.215,24.123)*** framework also achieved PSNR values for removing the speckle noise process for each level as follows:(34.146,30.313,28.125,24.001),(33.112,29.103,27.110,24.194),and(32.113,28.017,26.193,23.121)forDeRNet,Di-Conv-AE-Net,and DGAN-Net,*** experiments that have been conducted have proved the efficiency of the proposed framework a

关键词： MRI Rician noise speckle noise segmentation deep learning

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The fate of prazosin and levonorgestrel after electrochemical degradation process: Monitoring by-products using LC-TOF/MS

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Journal of Environmental Sciences 2018年第12期30卷 134-146页

作者： Fouad Fadhil Al-Qaim zainab Haider Mussa ali Yuzir Jalifah Latip Mohamed Rozali Othman Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia Department of Chemistry Faculty of Science for Women University of Babylon School of Chemical Sciences and Food Technology Faculty of Science and Technology Universiti Kebangsaan Malaysia (UKM) Centre for Water Research and Analysis (aliR) Faculty of Science and Technology Universiti Kebangsaan Malaysia (UKM)

Prazosin（PRZ） and levonorgestrel（LNG） are widely used as an anti-disease drugs due to their biological activity in the human body. The frequent detection of these compounds in water samples requires alternative technologies for the removal of both compounds. After electrochemical degradation of PRZ and LNG, the parent compounds could be completely removed after treatment, but the identification and characterization of by-products are necessary as well. In this study, the effects of NaCl concentration and applied voltage were investigated during the electrochemical degradation process. The results revealed that the increase of NaCl concentration and applied voltage could promote the generation of hypochlorite OCl-and then enhance the degradation of PRZ and LNG. After initial study, 6 V and 0.2 g NaCl were selected for further experiments（96% and 99% removal of PRZ and LNG after 40 min, respectively）. Energy consumption was also evaluated and calculated for PRZ and LNG at 3, 6 and 8 V. Solid phase extraction（SPE） method plays an important role in enhancing the detection limit of by-products. Furthermore, characterization and identification of chlorinated and non-chlorinated by-products were conducted using an accurate liquid chromatography-time of flight/mass spectrometry LC-TOF/MS instrument. The monitoring of products during the electrochemical degradation process was performed at6 V and 0.2 g NaCl in a 50 m L solution. The results indicated that two chlorinated products were formed during the electrochemical process. The toxicity of by-products toward E. coli bacteria was investigated at 37°C and 20 hr incubation time.

关键词： Prazosin Levonorgestrel Electrochemical degradation Solid phase extraction Chlorinated by-products Toxicity

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Corrosion Protection of 5083 AA in SalineWater by Polyacrylonitrile Nanofibers

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Journal of Renewable Materials 2021年第11期9卷 1927-1939页

作者： Enas H.ali Juman A.Naser zainab W.Ahmed Taki A.Himdan Department of Chemistry College of Education for Pure Science-Ibn Al-HaithamUniversity of BaghdadBaghdadIraq

Polymeric nanofibers are a promising technology to protect the metal surfaces from *** the literature search,the use of polyacrylonitrile nanofibres(PANNFs)as a corrosion inhibitor coating for aluminum alloys has not been *** work includes the development of a new,lightweight,high surface area and efficient coating of PANNFs that produced using electrospinning process to resist the corrosion of aluminum alloys(AA5083)which immersed in 0.6 M NaCl at alkaline medium(pH=12)and acidic medium(pH=1)at a range of temperatures(293–323)*** PANNFs coating was successfully deposited on AA 5083 specimens,where these samples were considered as a collector electrode in the electrospinning *** corrosion experiments of the aluminum alloys coated with PANNFs before and after immersion in both corrosive mediums were investigated using cyclic potential polarization(CPP).The results confirmed that the PANNFs coating was able to protect the surface of the aluminum specimens from corrosion,by reducing the corrosion current and increasing the surface polarization resistance,thus reducing the corrosion *** protection efficiency was found in the alkaline medium 98.8%while in the acidic medium 83.3%.So,it was in both mediums decreased with the increase in *** shape,distribution and size of the polymeric nanofibers that formed the coating were also examined using field emission scanning electron microscopy(FE-SEM)and the percentages of the structural components of these fibers were detected using the X-ray dispersion spectroscopy(EDS).The surface of aluminum specimens was completely covered by *** electrospun nanofibers have worn out and lined up spacing after immersion in the corrosive *** diameters average of PANNFs was found to be about 200 and 150 nm before and after immersion,respectively.

关键词： Corrosion protection nanofibers polyacrylonitrile aluminum alloy saline medium protection efficiency

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Molecular detection of Anaplasma marginale and Anaplasma ovis in sheep and goat in west highland pasture of Iran

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Asian Pacific Journal of Tropical Biomedicine 2017年第5期7卷 455-459页

作者： ali Yousefi Sadegh Rahbari Parviz Shayan zainab Sadeghi-dehkordi alireza Bahonar Department of Microbiology Science and Research BranchIslamic Azad University Department of Parasitology Faculty of Veterinary MedicineUniversity of Tehran Department of Parasitology Faculty of Paraveterinary MedicineBu-Ali Sina University Department of Food Hygiene and Quality Control Faculty of Veterinary MedicineUniversity of Tehran

Objective:To determine the prevalence of Anaplasma marginale(***) and Anaplasma ovis from sheep and goat in different highland pasture in west of ***:From July 2015 to October 2015,370 blood samples of sheep and goat were collected from different regions in Hamedan province,*** DNA extracted from blood and subsequently,16 S r RNA and MSP4 genes were analyzed by nested-PCR,semi nested-PCR and RFLP ***:In the PCR assessment,overall 27.5%(102/370) of sheep and goat were positive for Anaplasma ovis and *** infection,which was lower than reports from tropical and subtropical regions of *** analysis(the Chi-square test) did not show any significant relation between infection and variables such as location,tick infestation age and sex(P > 0.05).No significant correlation between the altitude and the Anaplasma species infection was found(Mann–Whitney test:P > 0.05).However,Anaplasma infection in goat significantly is more than the sheep(P = 0.008).Conclusions:The ecological changes affect the frequency and distribution of Anaplasma ***,our results indicate that sheep as potential reservoirs of ***.

关键词： Anaplasma PCR Sheep Goat Iran

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Artificial Intelligence Based Reliable Load Balancing Framework in Software-Defined Networks

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Computers, Materials & Continua 2022年第1期70卷 251-266页

作者： Mohammad Riyaz Belgaum Fuead ali zainab Alansari Shahrulniza Musa Muhammad Mansoor Alam M.S.Mazliham Malaysian Institute of Information Technology Universiti Kuala LumpurKuala Lumpur50250Malaysia Majan University College Muscat710Oman Institute of Business Management KarachiPakistan Malaysia France Institute Universiti Kuala LumpurKuala Lumpur43650Malaysia

Software-defined networking(SDN)plays a critical role in transforming networking from traditional to intelligent *** increasing demand for services from cloud users has increased the load on the *** efficient system must handle various loads and increasing needs representing the relationships and dependence of businesses on automated measurement systems and guarantee the quality of service(QoS).Themultiple paths from source to destination give a scope to select an optimal path by maintaining an equilibrium of load using some best ***,the requests need to be transferred to reliable network *** address SDN’s current and future challenges,there is a need to know how artificial intelligence(AI)optimization techniques can efficiently balance the *** study aims to explore two artificial intelligence optimization techniques,namely Ant Colony Optimization(ACO)and Particle Swarm Optimization(PSO),used for load balancing in ***,we identified that a modification to the existing optimization technique could improve the performance by using a reliable link and node to form the path to reach the target node and improve load ***,we propose a conceptual framework for SDN futurology by evaluating node and link reliability,which can balance the load efficiently and improve QoS in SDN.

关键词： Ant colony optimization load balancing particle swarm optimization quality of service reliability software-defined networking

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