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Exploration of preschool hearing screening at primary healthcare centers in Riyadh,Saudi Arabia:A cross-sectional study

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Journal of Otology 2024年第4期19卷 214-219页

作者： ahmad a.alanazi Rayan A.Almutairi Khalid S.Alsuhaibani Yazzan Alruwaily Hellal A.Alqudiey Mohammed A.Alabbas Shuaa R.alanazi Department of Audiology and Speech Pathology College of Applied Medical SciencesKing Saud bin Abdulaziz University for Health SciencesRiyadhSaudi Arabia King Abdullah International Medical Research Center RiyadhSaudi Arabia College of Medicine King Saud bin Abdulaziz University for Health SciencesRiyadhSaudi Arabia AlRawda Primary Healthcare Center-2 Riyadh Second Health ClusterMinistry of HealthRiyadhSaudi Arabia

The hearing status of children should be examined throughout early childhood,even if they have passed the newborn hearing loss because hearing loss can occur at any time and may affect their ability to *** hearing screening(PHS)is vital to continue screening throughout early *** current practice of PHS in the primary healthcare centers(PHCs)in Saudi Arabia is *** purpose of this study was to investigate PHS in the *** cross-sectional descriptive study used an in-person-administered questionnaire to collect data.A total of 106 out of 120 participants(male=61;female=45)representing the PHCs in Riyadh were *** of the participants were aged 31–40 years and held a bachelor’s degree as the highest academic qualification with limited years of *** was mostly performed through subjective measures by asking the parents(71.7%)and the child(65.1%).The audiometric evaluation was conducted for preschool children in only half of the *** practitioners and nurses usually perform *** gaps in the practice of PHS were *** lack of training and appropriate instruments and the need for audiological services were the main *** robust and objective protocols for PHS into the educational system is a valuable strategy for identifying hearing loss early and reducing its impact through the establishment of effective intervention plans.

关键词： Audiology Hearing loss Preschool children Primary healthcare center Screening Saudi Arabia

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Evaluation of visual stress symptoms in age-matched dyslexic, Meares-Irlen syndrome and normal adults

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International Journal of Ophthalmology(English edition) 2016年第4期9卷 617-624页

作者： Mana a.alanazi Saud a.alanazi Uchechukwu L.Osuagwu Department of Optometry & Vision Science King Saud University Ophthalmic and Visual Optics Laboratory Group Institute of Health and Biomedical Innovation Department of Optometry & Vision Sciences Faculty of Health Queensland University of Technology

AIM： To examine the prevalence of dyslexia and Meares-Irlen syndrome（MIS） among female students and determine their level of visual stress in comparison with normal subjects.·METHODS： A random sample of 450 female medical students of King Saud University Riyadh（age range, 18-30y） responded to a wide range of questions designed to accomplish the aims of this study. The detailed questionnaire consisted of 54 questions with 12 questions enquiring on ocular history and demography of participants while 42 questions were on visual symptoms. Items were categorized into critical and non-critical questions（CQ and NCQ） and were rated on four point Likert scale. Based on the responses obtained, the subjects were grouped into normal（control）, dyslexic with or without MIS（Group 1） and subjects with MIS only（Group 2）. Responses were analysed as averages and mean scores were calculated and compared between groups using one way analysis of variance to evaluate total visual stress score（TVSS =NCQ ＋CQ）, critical and non-critical visual stress scores. The relationship between categorical variables such as age, handedness and condition were assessed with Chi-square test.·RESULTS： The completion rate was 97.6% and majority of the respondents（92%） were normal readers, 2%dyslexic and 6% had MIS. They were age-matched. More than half of the participants had visited an eye care practitioner in the last 2y. About 13% were recommendedeye exercises and one participant experienced pattern glare. Hand preference was not associated with any condition but Group 1 subjects（3/9, 33%） were significantly more likely to be diagnosed of lazy eye than Group 2（2/27, 7%） and control（27/414, 7%） subjects. The mean±SD of TVSS responses were 63±14 and it was 44±9for CQ and 19 ±5 for NCQ. Responses from all three variables were normally distributed but the CQ responses were on the average more positive（82%） in Group 2 and less positive（46%） in Group 1 than control. With NCQ,the responses were equally less posi

关键词： dyslexia visual stress symptoms critical questions non-critical questions Meares-Irlen syndrome questionnaire

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Eye rubbing-induced changes in intraocular pressure and corneal thickness measured at five locations, in subjects with ocular allergy

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International Journal of Ophthalmology(English edition) 2015年第1期8卷 81-88页

作者： Uchechukwu L.Osuagwu Saud a.alanazi Visual and Ophthalmic Optics Group (Chronic Disease&Ageing Domain) Institute of Health&Biomedical InnovationSchool of Optometry&Vision SciencesQueensland University of Technology Department of Optometry & Vision Sciences College of Applied Medical Sciences King Saud University

AIM: To assess the effects of eye rubbing on corneal thickness(CT) and intraocular pressure(IOP)measurements obtained 0-30 min after habitual eye rubbing in symptomatic ***: Measurements of IOP and CT were obtained at five locations(central, temporal, superior,nasal and inferior) before, and every 5min for 30 min interval after 30 s of eye rubbing, for 25 randomly selected eyes of 14 subjects with ocular allergy and 11age-matched normals. Differences in measurements were calculated in each group [Baseline measurements minus measurements recorded at each time interval after eye rubbing(for IOP), and for each corneal location(for CT)]and comparison were then made between groups(allergic versus control) for differences in any observed ***: Within groups, baseline mean IOPs in the allergic patient-group(14.2 ±3.0 mm Hg) and in the control group(13.1±1.9 mm Hg) were similar at all times,after eye rubbing(P >0.05, for all). The maximum reduction in IOP was 0.8 mm Hg in the control subjects and the maximum increase was also 0.8 mm Hg in the allergic subjects. Between groups(allergic versus control), the changes in IOP remained under 1 mm Hg at all times(P =0.2) after 30 min of eye rubbing. Between 0and 30 min of CT measurements after eye rubbing, the mean central CT(CCT), inferior CT(ICT), superior CT(SCT), temporal CT(TCT) and nasal CT(NCT) did not vary significantly from baseline values in the control and allergic-subject groups(P >0.05, for both). Between both groups, changes in CT were similar at all locations(P >0.05)except for the TC which was minimally thinner by about4.4 μm(P =0.001) in the allergic subjects than in the control subjects, 30 min following 30 s of eye ***: IOP measured in allergic subjects after30 s of habitual eye rubbing was comparable with that obtained in normal subjects at all times between 0 and30 min. Although, CT in the allergic subjects were similar to those of the control subjects at all time

关键词： allergy corneal thickness intraocular pressure eye rubbing tonometry pachymetry

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24-Hour movement behaviours and COVID-19 among children in the Kingdom of Saudi Arabia:A repeat cross-sectional study

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Sports Medicine and Health Science 2022年第3期4卷 177-182页

作者： Yazeed a.alanazi Anne-Maree Parrish Anthony D.Okely Early Start and School of Health&Society University of WollongongWollongongNSW2522Australia College of Sport Science and Physical Activity King Saud UniversityRiyadh12372Saudi Arabia Illawarra Health and Medical Research Institute WollongongNSW2522Australia

This study investigated how children's 24-hour(24-h)movement behaviours were affected by SARS-CoV-2(COVID-19)in the Kingdom of Saudi *** research examined 24-h movement behaviours in Saudi Arabia seven months after the World Health Organization(WHO)declared COVID-19 a global *** repeat cross-sectional study examined changes in 24-h movement behaviours 12 months after the WHO *** Time 2 survey repeated five months(1 March–15 May 2021)after Time 1 survey(1 October–11 November 2020).The survey was distributed to parents of children aged 6–12 years across Saudi Arabia via an online *** were classified as meeting 24-h movement guidelines if they reported uninterrupted sleep for 9–11 h per night,2 h of recreational sedentary screen time(RST)per day and-60 min of moderate-to vigorous-intensity physical activity(MVPA)per day.A total of 1045 parents from all regions of Saudi Arabia responded(42.4%).Only 1.8%of children met all components of the guidelines,compared to 3.4%in Time *** the present study,girls spent more days per week in MVPA-60 min duration than boys(3.0 vs 2.6;p=0.025),while boys had spent more days per week engaged in activities that strengthened muscle and bone than girls(3.0 vs 2.8;p=0.019).Healthy levels of physical activity(PA),sedentary behaviour(SB)and sleep further declined in Saudi children five months after the Time 1 *** challenges require urgent intervention to ensure children's movement behaviours improve as Saudi Arabia moves out of the COVID-19 pandemic.

关键词： Sleep Sedentary behaviour Physical activity Children COVID-19

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An Optimized Technique for RNA Prediction Based on Neural Network

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Intelligent Automation & Soft Computing 2023年第3期35卷 3599-3611页

作者： ahmad Ali AlZubi Jazem Mutared alanazi Computer Science Department Community CollegeKing Saud UniversityRiyadhSaudi Arabia

Pathway reconstruction, which remains a primary goal for many investigations, requires accurate inference of gene interactions and causality. Non-coding RNA (ncRNA) is studied because it has a significant regulatory role in manyplant and animal life activities, but interacting micro-RNA (miRNA) and longnon-coding RNA (lncRNA) are more important. Their interactions not only aidin the in-depth research of genes’ biological roles, but also bring new ideas forillness detection and therapy, as well as plant genetic breeding. Biological investigations and classical machine learning methods are now used to predict miRNAlncRNA interactions. Because biological identification is expensive and time-consuming, machine learning requires too much manual intervention, and the featureextraction process is difficult. This research presents a deep learning model thatcombines the advantages of convolutional neural networks (CNN) and bidirectional long short-term memory networks (Bi-LSTM). It not only takes intoaccount the connection of information between sequences and incorporates contextual data, but it also thoroughly extracts the sequence data’s features. On thecorn data set, cross-checking is used to evaluate the model’s performance, andit is compared to classical machine learning. To acquire a superior classificationeffect, the proposed strategy was compared to a single model. Additionally, thepotato and wheat data sets were utilized to evaluate the model, with accuracy ratesof 95% and 93%, respectively, indicating that the model had strong generalization capacity.

关键词： Neural networks biomedical engineering genetic analysis machine learning

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An Optimized Method for Information System Transactions Based on Blockchain

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Intelligent Automation & Soft Computing 2023年第2期35卷 2289-2308页

作者： Jazem Mutared alanazi ahmad Ali AlZubi Computer Science Department Community CollegeKing Saud UniversityRiyadhSaudi Arabia

Accounting Information System(AIS),which is the foundation of any enterprise resource planning(ERP)system,is often built as centralized *** technologies that allow the Internet-of-Value,which is built onﬁve aspects that are network,algorithms,distributed ledger,transfers,and assets,are based on *** and consensus protocols boost the blockchain plat-form implementation,acting as a deterrent to cyber-attacks and *** platforms foster innovation among supply chain participants,resulting in ecosys-tem *** business processes have been severely disrupted by blockchains since apps and transactions that previously required centralized struc-tures or trusted third-parties to authenticate them may now function in a decentra-lized manner with the same level of *** a blockchain split in AIS may easily lead to double-spending attacks,reducing the likelihood of a split has become a very important and difﬁcult research *** block relay time between the nodes can minimize the block propagation time of all nodes,resulting in better Bitcoin *** this paper,three problems were addressed on transaction and block propagation mechanisms in order to reduce the likelihood of a split.A novel algorithm for blockchain is proposed to reduce the total pro-pagation delay in AIS *** results reveal that,the proposed algorithm performs better and reduce the transaction delay in AIS as compared with existing methods.

关键词： Information systems internal control blockchain digital transactions

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Hybrid Malware Variant Detection Model with Extreme Gradient Boosting and Artificial Neural Network Classifiers

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Computers, Materials & Continua 2023年第9期76卷 3483-3498页

作者： Asma A.Alhashmi Abdulbasit A.Darem Sultan M.alanazi Abdullah M.Alashjaee Bader Aldughayfiq Fuad A.Ghaleb Shouki A.Ebad Majed a.alanazi Department of Computer Science Northern Border UniversityArar9280Saudi Arabia Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia Department of Information Systems College of Computer Science and InformationJouf UniversitySakakaAljoufSaudi Arabia School of Computing University Teknologi Malaysia81310 UTM Johor BahruJohor81310Malaysia Department of Computer and Electronic Engineering Sana’a Community CollegeSana’a5695Yemen

In an era marked by escalating cybersecurity threats,our study addresses the challenge of malware variant detection,a significant concern for amultitude of sectors including petroleum and mining *** paper presents an innovative Application Programmable Interface(API)-based hybrid model designed to enhance the detection performance of malware *** model integrates eXtreme Gradient Boosting(XGBoost)and an Artificial Neural Network(ANN)classifier,offering a potent response to the sophisticated evasion and obfuscation techniques frequently deployed by malware *** model’s design capitalizes on the benefits of both static and dynamic analysis to extract API-based features,providing a holistic and comprehensive view of malware *** these features,we construct two XGBoost predictors,each of which contributes a valuable perspective on the malicious activities under *** outputs of these predictors,interpreted as malicious scores,are then fed into an ANN-based classifier,which processes this data to derive a final *** strength of the proposed model lies in its capacity to leverage behavioral and signature-based features,and most importantly,in its ability to extract and analyze the hidden relations between these two types of *** efficacy of our proposed APIbased hybrid model is evident in its performance *** outperformed other models in our tests,achieving an impressive accuracy of 95%and an F-measure of 93%.This significantly improved the detection performance of malware variants,underscoring the value and potential of our approach in the challenging field of cybersecurity.

关键词： API-based hybrid malware detection model static and dynamic analysis malware detection

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An Optimal Algorithm for Secure Transactions in Bitcoin Based on Blockchain

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Intelligent Automation & Soft Computing 2023年第3期35卷 3693-3712页

作者： Jazem Mutared alanazi ahmad Ali AlZubi Computer Science Department Community CollegeKing Saud UniversitySaudi Arabia

Technological advancement has made a signiﬁcant contribution to the change of the economy and the advancement of *** it is changing how economic transactions are carried out,the blockchain is one of the technical developments that has a lot of promise for this *** public record of the Bitcoin blockchain provides dispersed users with evidence of transaction owner-ship by publishing all transaction data from block reward transactions to unspent transaction *** on the public ledger,on the other hand,are a result of the fact that all transaction information are ***-anonymization attacks allow users to link transaction entities and acquire user privacy through speciﬁed transaction *** a result,in light of the Bitcoin blockchain system’s priv-acy issues,this scheme combines the concept of coin mixing with encrypted trans-action technology to create a truly anonymous blockchain system that preserves the payer identity and transaction amount *** one-way aggregated sig-nature technique of Boneh,Gentry,and Lynn systematically embeds the notion of mixing into the whole *** homomorphic encryption approach of Boneh,Goh,and Nissim allows miners to check the legality of encrypted *** will validate transactions,conceal transactions,and package transactions as entities in the ***,this technique was chosen after a comparison of several privacy-preserving blockchain *** not only ensures complete anonymity,but also keeps transaction storage overhead to a minimum.

关键词： Bitcoin blockchain privacy decentralization fault-tolerance

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Intelligent Ammunition Detection and Classification System Using Convolutional Neural Network

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Computers, Materials & Continua 2021年第5期67卷 2585-2600页

作者： Gulzar ahmad Saad alanazi Madallah Alruwaili Fahad ahmad Muhammad Adnan Khan Sagheer Abbas Nadia Tabassum School of Computer Science NCBA&ELahore54000Pakistan College of Computer and Information Sciences Jouf UniversitySakakaAljouf72341Saudi Arabia Department of Basic Sciences Jouf UniversitySakakaAljouf72341Saudi Arabia Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Computer Science Virtual University of PakistanLahore54000Pakistan Department of Computer Sciences Kinnaird College for WomenLahore54000Pakistan

Security is a significant issue for everyone due to new and creative ways to commit *** Closed-Circuit Television(CCTV)systems are being installed in offices,houses,shopping malls,and on streets to protect *** monitor CCTV;however,it is difficult for a single person to monitor the actions of multiple people at one ***,there is a dire need for an automated monitoring system that detects a person with ammunition or any other harmful material Based on our research and findings of this study,we have designed a new Intelligent Ammunition Detection and Classification(IADC)system using Convolutional Neural Network(CNN).The proposed system is designed to identify persons carrying weapons and ammunition using CCTV *** weapons are identified,the cameras sound an *** the proposed IADC system,CNN was used to detect firearms and *** CNN model which is a Deep Learning technique consists of neural networks,most commonly applied to analyzing visual imagery has gained popularity for unstructured(images,videos)data ***,this system generates an early warning through detection of ammunition before conditions become *** the faster and earlier the prediction,the lower the response time,loses and potential *** proposed IADC system provides better results than earlier published models like VGGNet,OverFeat-1,OverFeat-2,and OverFeat-3.

关键词： CCTV CNN IADC deep learning intelligent ammunition detection DnCNN

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Cloud-Based Diabetes Decision Support System Using Machine Learning Fusion

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Computers, Materials & Continua 2021年第7期68卷 1341-1357页

作者： Shabib Aftab Saad alanazi Munir ahmad Muhammad Adnan Khan Areej Fatima Nouh Sabri Elmitwally School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Science Virtual University of PakistanLahore54000Pakistan College of Computer and Information Sciences Jouf UniversitySakaka72341Saudi Arabia Riphah School of Computing&Innovation Riphah International UniversityLahore CampusLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Computer Science Faculty of Computers and Articial IntelligenceCairo University12613Egypt

Diabetes mellitus,generally known as diabetes,is one of the most common diseases *** is a metabolic disease characterized by insulin deciency,or glucose(blood sugar)levels that exceed 200 mg/dL(11.1 ml/L)for prolonged periods,and may lead to death if left uncontrolled by medication or insulin *** is categorized into two main types—type 1 and type 2—both of which feature glucose levels above“normal,”dened as 140 mg/*** is triggered by malfunction of the pancreas,which releases insulin,a natural hormone responsible for controlling glucose levels in blood *** and comprehensive analysis of this potentially fatal disease necessitate application of techniques with minimal rates of *** primary purpose of this research study is to assess the potential role of machine learning in predicting a person’s risk of developing ***,research has supported the use of various machine algorithms,such as naïve Bayes,decision trees,and articial neural networks,for early diagnosis of ***,to achieve maximum accuracy and minimal error in diagnostic predictions,there remains an immense need for further research and innovation to improve the machine-learning tools and techniques available to healthcare ***,in this paper,we propose a novel cloud-based machine-learning fusion technique involving synthesis of three machine algorithms and use of fuzzy systems for collective generation of highly accurate nal decisions regarding early diagnosis of diabetes.

关键词： Machine learning fusion articial neural network decision trees naïve Bayes diabetes prediction

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