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Perception of dental appearance and aesthetic analysis among patients,laypersons and dentists

World Journal of Clinical Cases 2024年第23期12卷 5354-5365页

作者： alhanoof aldegheishem Hadeel mohammed alfayadh Munirah alDossary Shahad Asaad Elzahraa Eldwakhly Nour al Huda al Refaei Dana alsenan Mai Soliman Department of Clinical Dental Sciences College of DentistryPrincess Nourah Bint Abdulrahman UniversityRiyadh 11671Saudi Arabia Department of Oral Medicine and Pathology Ministry of HealthRiyadh 11176Saudi Arabia Department of Prosthodontics Ministry of HealthRiyadh 11176Saudi Arabia Department of Pediatric Ministry of HealthRiyadh 11176Saudi Arabia

BACKGROUND Current concepts of beauty are increasingly subjective,influenced by the viewpoints of *** aim of the study was to evaluate divergences in the perception of dental appearance and smile esthetics among patients,laypersons and dental *** study goals were to evaluate the influence of age,sex,education and dental specialty on the participants’judgment and to identify the values of different esthetic *** sample included 50 patients who responded to a dental appearance questionnaire(DAQ).Two frontal photographs were taken,one during a smile and one with retracted *** and dentists were asked to evaluate both photographs using a Linear Scale from(0-10),where 0 represent(absolutely unaesthetic)and 10 represent(absolutely aesthetic).One-way analysis of variance(ANOVA)and t-test analysis were measured for each *** patients in the sample expressed satisfaction with most aspects of their smiles and dental *** laypersons(including 488 participants),47 pictures“with lips”out of 50 had higher mean aesthetic scores compared to pictures“without lips”.Among the dentist sample,90 dentists’perception towards the esthetic smile and dental appearance for photos“with lips”and“without lips”were the same for 23 out of 50 *** of smile aesthetics differed between patients,laypersons and *** factors can contribute to shape the perception of smile *** To compare the perception of dental aesthetic among patients,laypersons,and professional dentists,to evaluate the impact of age,sex,educational background,and income on the judgments made by laypersons,to assess the variations in experience,specialty,age,and sex on professional dentists’judgment,and to evaluate the role of lips,skin shade and tooth shade in different participants’*** Patients sample included 50 patients who responded to *** frontal photographs were taken:one during a smile and one with retracted lip

关键词： Aesthetic perception Laypersons Dental appearance Dentists Smile analysis Dental aesthetic

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A deep learning fusion model for accurate classification of brain tumours in Magnetic Resonance images

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 790-804页

作者： Nechirvan Asaad Zebari Chira Nadheef mohammed Dilovan Asaad Zebari Mazin Abed mohammed Diyar Qader Zeebaree Haydar Abdulameer Marhoon Karrar Hameed Abdulkareem Seifedine Kadry Wattana Viriyasitavat Jan Nedoma Radek Martinek Department of Information Technology Lebanese French UniversityErbilIraq Department of Computer Science University of ZakhoZakhoKurdistan RegionIraq Department of Computer Science College of ScienceNawroz UniversityDuhokKurdistan RegionIraq Department of Artificial Intelligence College of Computer Science and Information TechnologyUniversity of AnbarRamadiIraq Department of Telecommunications VSB‐Technical University of OstravaOstravaCzech Republic Department of Cybernetics and Biomedical Engineering VSB‐Technical University of OstravaOstravaCzech Republic Department of Computer Network and Information Security Technical College of Informatics-AkreDuhok Polytechnic UniversityDuhokIraq Information and Communication Technology Research Group Scientific Research CenterAl‐Ayen UniversityThi‐QarIraq College of Computer Sciences and Information Technology University of KerbalaKarbalaIraq College of Agriculture Al‐Muthanna UniversitySamawahIraq Department of Applied Data Science Noroff University CollegeKristiansandNorway Faculty of Commerce and Accountancy Chulalongkorn Business SchoolChulalongkorn UniversityBangkokThailand

Detecting brain tumours is complex due to the natural variation in their location, shape, and intensity in images. While having accurate detection and segmentation of brain tumours would be beneficial, current methods still need to solve this problem despite the numerous available approaches. Precise analysis of Magnetic Resonance Imaging (MRI) is crucial for detecting, segmenting, and classifying brain tumours in medical diagnostics. Magnetic Resonance Imaging is a vital component in medical diagnosis, and it requires precise, efficient, careful, efficient, and reliable image analysis techniques. The authors developed a Deep Learning (DL) fusion model to classify brain tumours reliably. Deep Learning models require large amounts of training data to achieve good results, so the researchers utilised data augmentation techniques to increase the dataset size for training models. VGG16, ResNet50, and convolutional deep belief networks networks extracted deep features from MRI images. Softmax was used as the classifier, and the training set was supplemented with intentionally created MRI images of brain tumours in addition to the genuine ones. The features of two DL models were combined in the proposed model to generate a fusion model, which significantly increased classification accuracy. An openly accessible dataset from the internet was used to test the model's performance, and the experimental results showed that the proposed fusion model achieved a classification accuracy of 98.98%. Finally, the results were compared with existing methods, and the proposed model outperformed them significantly.

关键词： brain tumour deep learning feature fusion model MRI images multi‐classification

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Exploring public perception and willingness to pay for a renewable source of energy: evidence from an emerging economy of renewable-energy development

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CLEAN ENERGY 2024年第2期8卷 177-188页

作者： Bashir, mohammed J. K. Abdelhak, Senadjki Salah, Wael A. Abuhelwa, Mai Cent Queensland Univ Sch Engn & Technol 120 Spencer St Melbourne Qld 3000 Australia Univ Tunku Abdul Rahman Fac Business & Finance Kampar Perak Malaysia Palestine Tech Univ Kadoorie Coll Engn & Technol Dept Elect Engn POB 7 Yafa St Tulkarm Palestine Univ Missouri Dept Elect Engn & Comp Sci Columbia MO 65211 USA

The study focuses on the transition from conventional energy sources to sustainable renewable energy (RE) in Palestine, particularly in the West Bank and Gaza Strip. The research aims to understand the relationship between key factors and residents' willingness to invest in the RE sector, with a specific focus on the impact of education. Using the unified theory of acceptance and use of technology, the study analyzes data from 400 residents through a questionnaire and employs ordinary least-squares regression analysis with Eviews 12. The key findings indicate that residents' inclination to invest in RE is significantly influenced by factors such as resource availability, knowledge level and power outages. Moreover, the study suggests that educated residents are more likely to invest in RE when factors such as knowledge, effort expectation, enabling conditions and resource availability are relatively high. The conclusion emphasizes the importance of policymakers' allocating sufficient funds to research and development to promote technological innovation in RE sources, thereby enhancing the population's energy efficiency. The study focuses on the transition from conventional energy to sustainable renewable energy in Palestine, particularly in the West Bank and Gaza Strip, to understand the relationship between key factors and residents' willingness to invest in the RE sector, with a specific focus on the impact of education. Graphical Abstract

关键词： renewable energy technology energy security public perceptions sustainable development UNIFIED THEORY RURal-AREAS TECHNOLOGY ACCEPTANCE DETERMINANTS INTENTION RELIABILITY SERVICES SYSTEM ERRORS

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Preimplantation genetic testing for embryos predisposed to hereditary cancer:Possibilities and challenges

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Cancer Pathogenesis and Therapy 2024年第1期2卷 1-14页

作者： mohammed H.albujja Maher al-Ghedan Lakshmidevi Dakshnamoorthy Josep Pla Victori Department of Forensic Sciences Naif Arab University for Security SciencesRiyadh 11452Saudi Arabia Genetics Laboratory Thuriah Medical CenterRiyadh 11523Saudi Arabia Department of Genetic Counselling VI-RMA GlobalValencia 46004Spain

Preimplantation genetic testing(PGT),which was developed as an alternative to prenatal genetic testing,allows couples to avoid pregnancies with abnormal chromosomes and the subsequent termination of the affected *** used for early onset monogenic conditions,PGT is now used to prevent various types of inherited cancer conditions based on the development of PGT technology,assisted reproductive techniques(ARTs),and in vitro fertilization(IVF).This review provides insights into the potential benefits and challenges associated with the application of PGT for hereditary cancer and provides an overview of the existing literature on this test,with a particular focus on the current challenges related to laws,ethics,counseling,and ***,this review predicts the future potential applications of this *** PGT may be utilized to predict and prevent hereditary cancer,each case should be comprehensively *** motives of couples must be assessed to prevent the misuse of this technique for eugenic purposes,and non-pathogenic phenotypes must be carefully *** cases that require this technology should also be carefully considered based on legal and ethical *** may be the preferred treatment for hereditary cancer cases;however,such cases require careful case-by-case ***,this study concludes that multidisciplinary counseling and support for patients and their families are essential to ensure that PGT is a viable option that meets all legal and ethical concerns.

关键词： Preimplantation genetic testing Hereditary cancer Late-onset diseases Ethics Legal restrictions

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Enhancing ChatGPT’s Querying Capability with Voice-Based Interaction and CNN-Based Impair Vision Detection Model

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Computers, Materials & Continua 2024年第3期78卷 3129-3150页

作者： Awais Ahmad Sohail Jabbar Sheeraz Akram Anand Paul Umar Raza Nuha mohammed alshuqayran College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudia Arabia 2 School of Computer Science and EngineeringKyungpook National UniversityDaegu41566South Korea 3 Department of EngineeringManchester Metropolitan UniversityManchesterM156BHUK

This paper presents an innovative approach to enhance the querying capability of ChatGPT,a conversational artificial intelligence model,by incorporating voice-based interaction and a convolutional neural network(CNN)-based impaired vision detection *** proposed system aims to improve user experience and accessibility by allowing users to interact with ChatGPT using voice ***,a CNN-based model is employed to detect impairments in user vision,enabling the system to adapt its responses and provide appropriate *** research tackles head-on the challenges of user experience and inclusivity in artificial intelligence(AI).It underscores our commitment to overcoming these obstacles,making ChatGPT more accessible and valuable for a broader *** integration of voice-based interaction and impaired vision detection represents a novel approach to conversational ***,this innovation transcends novelty;it carries the potential to profoundly impact the lives of users,particularly those with visual *** modular approach to system design ensures adaptability and scalability,critical for the practical implementation of these ***,the solution places the user at its *** responses for those with visual impairments demonstrates AI’s potential to not only understand but also accommodate individual needs and preferences.

关键词： Accessibility in conversational AI CNN-based impair vision detection ChatGPT voice-based interaction recommender system

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Threshold-Based Software-Defined Networking(SDN)Solution for Healthcare Systems against Intrusion Attacks

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1469-1483页

作者： Laila M.Halman mohammed J.F.alenazi Department of Computer Engineering College of Computer ScienceKing Saud UniversityRiyadh11451Saudi Arabia

The healthcare sector holds valuable and sensitive *** amount of this data and the need to handle,exchange,and protect it,has been increasing at a fast *** to their nature,software-defined networks(SDNs)are widely used in healthcare systems,as they ensure effective resource utilization,safety,great network management,and *** this sector,due to the value of thedata,SDNs faceamajor challengeposed byawide range of attacks,such as distributed denial of service(DDoS)and probe *** attacks reduce network performance,causing the degradation of different key performance indicators(KPIs)or,in the worst cases,a network failure which can threaten human *** can be significant,especially with the current expansion of portable healthcare that supports mobile and wireless devices for what is called mobile health,or *** this study,we examine the effectiveness of using SDNs for defense against DDoS,as well as their effects on different network KPIs under various *** propose a threshold-based DDoS classifier(TBDC)technique to classify DDoS attacks in healthcare SDNs,aiming to block traffic considered a hazard in the form of a DDoS *** then evaluate the accuracy and performance of the proposed TBDC *** technique shows outstanding performance,increasing the mean throughput by 190.3%,reducing the mean delay by 95%,and reducing packet loss by 99.7%relative to normal,with DDoS attack traffic.

关键词： Network resilience network management attack prediction software defined networking(SDN) distributed denial of service(DDoS) healthcare

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Social Media-Based Surveillance Systems for Health Informatics Using Machine and Deep Learning Techniques:A Comprehensive Review and Open Challenges

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1167-1202页

作者： Samina Amin Muhammad ali Zeb Hani alshahrani mohammed Hamdi Mohammad alsulami Asadullah Shaikh Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Information System College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia

Social media(SM)based surveillance systems,combined with machine learning(ML)and deep learning(DL)techniques,have shown potential for early detection of epidemic *** review discusses the current state of SM-based surveillance methods for early epidemic outbreaks and the role of ML and DL in enhancing their ***,every year,a large amount of data related to epidemic outbreaks,particularly Twitter data is generated by *** paper outlines the theme of SM analysis for tracking health-related issues and detecting epidemic outbreaks in SM,along with the ML and DL techniques that have been configured for the detection of epidemic *** has emerged as a promising ML technique that adaptsmultiple layers of representations or features of the data and yields state-of-the-art extrapolation *** recent years,along with the success of ML and DL in many other application domains,both ML and DL are also popularly used in SM *** paper aims to provide an overview of epidemic outbreaks in SM and then outlines a comprehensive analysis of ML and DL approaches and their existing applications in SM ***,this review serves the purpose of offering suggestions,ideas,and proposals,along with highlighting the ongoing challenges in the field of early outbreak detection that still need to be addressed.

关键词： Social media epidemic machine learning deep learning health informatics pandemic

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United States Healthcare Data Breaches: Insights for NIST SP 800-66 Revision 2 from a Review of the NIST SP 800-66 Revision 1

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Journal of Information Security 2024年第2期15卷 232-244页

作者： mohammed mohammed Raoof Center for Information Systems & Technology Claremont Graduate University Claremont USA

Healthcare security and privacy breaches are occurring in the United States (US), and increased substantially during the pandemic. This paper reviews the National Institute of Standards and Technology (NIST) publication base as an effective solution. The NIST Special Publication 800-66 Revision 1 was an essential standard in US healthcare, which was withdrawn in February 2024 and superseded by SP 800-66 Revision 2. This review investigates the academic papers concerning the application of the NIST SP 800-66 Revision 1 standard in the US healthcare literature. A systematic review method was used in this study to determine current knowledge gaps of the SP 800-66 Revision 1. Some limitations were employed in the search to enforce validity. A total of eleven articles were found eligible for the study. Consequently, this study suggests the necessity for additional academic papers pertaining to SP 800-66 Revision 2 in the US healthcare literature. In turn, it will enhance awareness of safeguarding electronic protected health information (ePHI), help to mitigate potential future risks, and eventually reduce breaches.

关键词： SP 800-66 Revision 1 SP 800-66 Revision 2 HIPAA Compliance Security Breaches Risk Management Framework (RMF) Internet of Things (IoT) Artificial Intelligence (AI)

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射孔密度分布对水平井生产动态的影响

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石油勘探与开发 2024年第2期51卷 409-417页

作者： KAREEM Hasanain J HASINI Hasril ABDULWAHID mohammed A 马来西亚国家能源大学工程学院机械工程系马来西亚加影43000 马来西亚国家能源大学可持续工程研究院马来西亚加影43000 南方工业大学热能工程系伊拉克巴士拉市61001

针对水平井产量受水平井井筒射孔密度分布影响的问题,建立两种水平井射孔密度分布模式(即分别增大井筒入口段和出口段射孔密度)下的数值模型对水平井两相流动进行模拟;将模拟结果与实验结果进行对比,验证本研究数值模拟方法的可靠性,在... 详细信息

针对水平井产量受水平井井筒射孔密度分布影响的问题,建立两种水平井射孔密度分布模式(即分别增大井筒入口段和出口段射孔密度)下的数值模型对水平井两相流动进行模拟;将模拟结果与实验结果进行对比,验证本研究数值模拟方法的可靠性,在此基础上采用数值模拟研究两种射孔密度分布模式下井筒各流型阶段总压降、气水两相流体表观速度、空隙率、液膜厚度和产气量、产液量的变化规律。研究表明,当水相流量保持不变时,随着空气流量的增加,总压降、气水两相流体表观速度增大,空隙率增加,液膜厚度减小;相较于增大出口段射孔密度,当入口段射孔密度增大时,产液量和产气量均增加,且产气量随着气体流量增加而增大;产液量在泡状流阶段增加,而达到弹状流—分层流过渡点后开始降低,进入分层波状流阶段后产液量开始增加;无因次产液量在增大井筒入口段射孔密度的模式下更大,且随着径向气相流量的增加而增大。

关键词：水平井两相流流型射孔密度井筒压降空隙率生产动态

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Portraying Diabetic Foot Ulcers: Comparative Evaluation of Diabetic Foot Infections versus Diabetic Foot Ulcers

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Advances in Infectious Diseases 2024年第2期14卷 297-309页

作者： Jamal Wadi al Ramahi Leen Sharqawi Sarah al-Najafi Eman Awwad Haya M. al-Obaidi Abdel Hafez Mohammad Sara Nofal Dina Riyadh al-Janabi Ibrahim Zuhair Hamza Jamal al-Masaeid mohammed al-Ithawi Dina Rasheed Bellal O. al-Far Osama al-Izi Qutaiba al-Bustanji School of Medicine The University of Jordan Amman Jordan Department of the Internal Medicine The Specialty Hospital Amman Jordan Department of Pharmacy The Specialty Hospital Amman Jordan Department of the Medical Al Khalidi Hospital Amman Jordan Department of Pharmacy Jordan Hospital Amman Jordan Department of Internal Medicine Jordan Hospital Amman Jordan Department of General Surgery Jordan Hospital Amman Jordan

Background: Confusion often arises in caring for diabetic foot infections and ulcers, especially with antimicrobials;we aim to shed light on this entity and alert healthcare workers to its stewardship. Methods: Records were reviewed between February 2016 and September 2023. Data for patients diagnosed with diabetes and foot ulcers, infected or not, were examined following ICD 9 search terms. Records for patients were included if they were prediabetic/diabetic adults with foot ulcers, more than 18 years old, and on antidiabetic treatment. Patients were excluded if they insulin resistant, with normal HgbA1c levels, wheel-chair dependent, bed-bound, non-diabetic patients, diabetic patients who had vascular lower limb surgery earlier to ulcers, diabetic patients who had aortocoronary bypass, deep venous thrombosis within six months, malignancy, and severe clinical depression. A modified IWGDF/IDSA guidelines definitions for DFI and DFU was considered. Statistical analysis was done using R programming. Statistical methods were employed as appropriate, and a significant P-value was considered for P Results: Most characteristics were well balanced between DFI and DFU, on imaging osteomyelitis and tissue swelling were significantly more in DFI. Endovascular radiological procedures showed angiograms to be considerably more in DFI, while angioplasty was more in DFU, in addition to smoking. Bacteremia was uncommon, and swab cultures were mostly polymicrobial in both ulcers;no clear association with blood bacteria was detected with the polymicrobial growth, though few were concordant. Antimicrobials prescribed for both ulcers were not statistically different except for carbapenems, which were more in DFI (P Conclusion: Attention should be paid to best practices while caring for diabetic ulcers. These include swab culture interpretations, the use of antimicrobials, and plan management according to DFI or DFU to utilize either local care or combination with antimicrobials.

关键词： Diabetic Foot Ulcers Diabetic Limb Amputation Antimicrobials Stewardship Broad-Spectrum Antimicrobials in Diabetic Foot Ulcers

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