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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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Exploring Multi-Task Learning for Forecasting Energy-Cost Resource Allocation in IoT-Cloud Systems

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Computers, Materials & Continua 2024年第6期79卷 4603-4620页

作者： Mohammad aldossary Hatem A.Alharbi Nasir Ayub Department of Computer Engineering and Information College of EngineeringPrince Sattam Bin Abdulaziz UniversityWadi Al-Dawasir11991Saudi Arabia Department of Computer Engineering College of Computer Science and EngineeringTaibah UniversityMadinah42353Saudi Arabia Department of Creative Technologies Air University IslamabadIslamabad44000Pakistan

Cloud computing has become increasingly popular due to its capacity to perform computations without relying on physical infrastructure,thereby revolutionizing computer ***,the rising energy consumption in cloud centers poses a significant challenge,especially with the escalating energy *** paper tackles this issue by introducing efficient solutions for data placement and node management,with a clear emphasis on the crucial role of the Internet of Things(IoT)throughout the research *** IoT assumes a pivotal role in this study by actively collecting real-time data from various sensors strategically positioned in and around data *** sensors continuously monitor vital parameters such as energy usage and temperature,thereby providing a comprehensive dataset for *** data generated by the IoT is seamlessly integrated into the Hybrid TCN-GRU-NBeat(NGT)model,enabling a dynamic and accurate representation of the current state of the data center *** the incorporation of the Seagull Optimization Algorithm(SOA),the NGT model optimizes storage migration strategies based on the latest information provided by IoT *** model is trained using 80%of the available dataset and subsequently tested on the remaining 20%.The results demonstrate the effectiveness of the proposed approach,with a Mean Squared Error(MSE)of 5.33%and a Mean Absolute Error(MAE)of 2.83%,accurately estimating power prices and leading to an average reduction of 23.88%in power ***,the integration of IoT data significantly enhances the accuracy of the NGT model,outperforming benchmark algorithms such as DenseNet,Support Vector Machine(SVM),Decision Trees,and *** NGT model achieves an impressive accuracy rate of 97.9%,surpassing the rates of 87%,83%,80%,and 79%,respectively,for the benchmark *** findings underscore the effectiveness of the proposed method in optimizing energy efficiency and enhancing the predictive

关键词： Cloud computing energy efficiency data center optimization internet of things(IoT) hybrid models

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CRX-527 as a candidate adjuvant in a recombinant BCG-based malaria vaccine

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Asian Pacific Journal of Tropical Biomedicine 2024年第1期14卷 1-7页

作者： Nor munirah Zakaria Muhammad Adamu Abbas Rapeah Suppian School of Health Sciences Universiti Sains MalaysiaHealth Campus16150 Kubang KerianKota BharuKelantanMalaysia Department of Medical Microbiology and Parasitology College of Health SciencesBayero University KanoP.M.B.3011BUKKano Nigeria

Objective:To investigate the role of CRX-527,a Toll-like receptor 4 agonist,as the possible adjuvant for recombinant Mycobacterium bovis Bacillus Calmette-Guerin expressing merozoite surface protein 1C(BCG-MSP-1C).Methods:The mice were immunized with BCG and BCG-MSP-1C in the presence and absence of *** untreated mice(injected with PBS-T80 only)were the negative *** ability of CRX-527 to enhance IgG and its subclasses,as well as IL-4 and IFN-γproduction in the serum and spleen supernatant was evaluated using ***:Mice immunized with BCG-MSP-1C exhibited the highest production of IgGs,IL-4 and IFN-γafter third *** addition,CRX-527 further promoted the production of total IgG and IgG subclasses as well as IFN-γand IL-4 in the serum and splenocytes of immunized ***:CRX-527 has the potential as an adjuvant candidate for the candidate *** study is needed to verify appropriate dosage for immunization and its efficacy.

关键词： CRX-527 BCG BCG-MSP-1C TLR-4 agonists Cytokine IgG Malaria

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Two-dimensional polarized MoSSe/MoTe2 van der Waals heterostructure: A polarization-tunable optoelectronic material

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Frontiers of physics 2024年第1期19卷 251-257页

作者： Fahhad Alsubaie munirah Muraykhan Lei Zhang Dongchen Qi Ting Liao Liangzhi Kou Aijun Du Cheng Tang School of Chemistry and Physics Centre for Materials ScienceQueensland University of TechnologyBrisbaneQLD 4001Australia School of Mechanical Medical and Process EngineeringQueensland University of TechnologyBrisbaneQLD 4001Australia

Two-dimensional (2D) heterostructures have shown great potential in advanced photovoltaics due to their restrained carrier recombination, prolonged exciton lifetime and improved light absorption. Herein, a 2D polarized heterostructure is constructed between Janus MoSSe and MoTe_(2) monolayers and is systematically investigated via first-principles calculations. Electronically, the valence band and conduction band of the MoSSe−MoTe_(2) (MoSeS−MoTe_(2)) are contributed by MoTe_(2) and MoSSe layers, respectively, and its bandgap is 0.71 (0.03) eV. A built-in electric field pointing from MoTe_(2) to MoSSe layers appears at the interface of heterostructures due to the interlayer carrier redistribution. Notably, the band alignment and built-in electric field make it a direct z-scheme heterostructure, benefiting the separation of photogenerated electron-hole pairs. Besides, the electronic structure and interlayer carrier reconstruction can be readily controlled by reversing the electric polarization of the MoSSe layer. Furthermore, the light absorption of the MoSSe/MoTe_(2) heterostructure is also improved in comparison with the separated monolayers. Consequently, in this work, a new z-scheme polarized heterostructure with polarization-controllable optoelectronic properties is designed for highly efficient optoelectronics.

关键词： MoSSe MoTe2 photovoltaics ferroelectric heterostructure

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AMachine Learning Approach to Cyberbullying Detection in Arabic Tweets

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Computers, Materials & Continua 2024年第7期80卷 1033-1054页

作者： Dhiaa Musleh Atta Rahman Mohammed Abbas Alkherallah Menhal Kamel Al-Bohassan Mustafa Mohammed Alawami Hayder Ali Alsebaa Jawad Ali Alnemer Ghazi Fayez Al-Mutairi May Issa aldossary Dalal A.Aldowaihi Fahd Alhaidari Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Information Systems College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Networks and Communications College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia

With the rapid growth of internet usage,a new situation has been created that enables practicing *** has increased over the past decade,and it has the same adverse effects as face-to-face bullying,like anger,sadness,anxiety,and *** the anonymity people get on the internet,they tend to bemore aggressive and express their emotions freely without considering the effects,which can be a reason for the increase in cyberbullying and it is the main motive behind the current *** study presents a thorough background of cyberbullying and the techniques used to collect,preprocess,and analyze the ***,a comprehensive review of the literature has been conducted to figure out research gaps and effective techniques and practices in cyberbullying detection in various languages,and it was deduced that there is significant room for improvement in the Arabic *** a result,the current study focuses on the investigation of shortlisted machine learning algorithms in natural language processing(NLP)for the classification of Arabic datasets duly collected from Twitter(also known as X).In this regard,support vector machine(SVM),Na飗e Bayes(NB),Random Forest(RF),Logistic regression(LR),Bootstrap aggregating(Bagging),Gradient Boosting(GBoost),Light Gradient Boosting Machine(LightGBM),Adaptive Boosting(AdaBoost),and eXtreme Gradient Boosting(XGBoost)were shortlisted and investigated due to their effectiveness in the similar ***,the scheme was evaluated by well-known performance measures like accuracy,precision,Recall,and ***,XGBoost exhibited the best performance with 89.95%accuracy,which is promising compared to the state-of-the-art.

关键词： Supervised machine learning ensemble learning cyberbullying Arabic tweets NLP

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Multi-Layer Fog-Cloud Architecture for Optimizing the Placement of IoT Applications in Smart Cities

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计算机、材料和连续体（英文） 2023年第4期75卷 633-649页

作者： Mohammad aldossary Department of Computer Science College of Arts and SciencePrince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia

In the smart city paradigm, the deployment of Internet of Things(IoT) services and solutions requires extensive communication and computingresources to place and process IoT applications in real time, which consumesa lot of energy and increases operational costs. Usually, IoT applications areplaced in the cloud to provide high-quality services and scalable ***, the existing cloud-based approach should consider the above constraintsto efficiently place and process IoT applications. In this paper, anefficient optimization approach for placing IoT applications in a multi-layerfog-cloud environment is proposed using a mathematical model (Mixed-Integer Linear Programming (MILP)). This approach takes into accountIoT application requirements, available resource capacities, and geographicallocations of servers, which would help optimize IoT application placementdecisions, considering multiple objectives such as data transmission, powerconsumption, and cost. Simulation experiments were conducted with variousIoT applications (e.g., augmented reality, infotainment, healthcare, andcompute-intensive) to simulate realistic scenarios. The results showed thatthe proposed approach outperformed the existing cloud-based approach interms of reducing data transmission by 64% and the associated processingand networking power consumption costs by up to 78%. Finally, a heuristicapproach was developed to validate and imitate the presented approach. Itshowed comparable outcomes to the proposed model, with the gap betweenthem reach to a maximum of 5.4% of the total power consumption.

关键词： IoT application placement fog-cloud computing power consumption data transmission optimization smart cities

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Secured Framework for Assessment of Chronic Kidney Disease in Diabetic Patients

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Intelligent Automation & Soft Computing 2023年第6期36卷 3387-3404页

作者： Sultan Mesfer aldossary Dean of the College of Arts and Sciences Prince Sattam Bin Abdulaziz UniversityWadi Al-Dawasir11990Saudi Arabia

With the emergence of cloud technologies,the services of healthcare systems have ***,machine learning systems have become important tools for developing matured and decision-making computer *** cloud computing and machine learning technologies have contributed significantly to the success of healthcare ***,in some areas,these technologies are needed to provide and decide the next course of action for patients suffering from diabetic kidney disease(DKD)while ensuring privacy preservation of the medical *** address the cloud data privacy problem,we proposed a DKD prediction module in a framework using cloud computing services and a data control *** framework can provide improved and early treatment before end-stage renal *** prediction purposes,we implemented the following machine learning algorithms:support vector machine(SVM),random forest(RF),decision tree(DT),naïve Bayes(NB),deep learning(DL),and k nearest neighbor(KNN).These classification techniques combined with the cloud computing services significantly improved the decision making in the progress of DKD *** applied these classifiers to the UCI Machine Learning Repository for chronic kidney disease using various clinical features,which are categorized as single,combination of selected features,and all *** single clinical feature experiments,machine learning classifiers SVM,RF,and KNN outperformed the remaining classification techniques,whereas in combined clinical feature experiments,the maximum accuracy was achieved for the combination of DL and *** the feature experiments presented increased accuracy and increased F-measure metrics from SVM,DL,and RF.

关键词： Cloud computing diabetic kidney disease machine learning prediction system privacy preservation integrity of data secured data transmission homomorphic authentication

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Exploring and Modelling IoT Offloading Policies in Edge Cloud Environments

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Computer Systems Science & Engineering 2022年第5期41卷 611-624页

作者： Jaber Almutairi Mohammad aldossary Department of Computer Science College of Computer Science and EngineeringTaibah UniversityAl-MadinahSaudi Arabia Department of Computer Science College of Arts and SciencePrince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia

The Internet of Things(IoT)has recently become a popular technology that can play increasingly important roles in every aspect of our daily *** collaboration between IoT devices and edge cloud servers,edge server nodes provide the computation and storage capabilities for IoT devices through the task offloading process for accelerating tasks with large resource ***,the quantitative impact of different offloading architectures and policies on IoT applications’performance remains far from clear,especially with a dynamic and unpredictable range of connected physical and virtual *** this end,this work models the performance impact by exploiting a potential latency that exhibits within the environment of edge ***,it investigates and compares the effects of loosely-coupled(LC)and orchestrator-enabled(OE)*** LC scheme can smoothly address task redistribution with less time consumption for the offloading sceneries with small scale and small task ***,the OE scheme not only outperforms the LC scheme in the large-scale tasks requests and offloading occurs but also reduces the overall time by 28.19%.Finally,to achieve optimized solutions for optimal offloading placement with different constraints,orchestration is important.

关键词： Internet of things application deployment latency-sensitive edge orchestrator

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An Eco-Friendly Approach for Reducing Carbon Emissions in Cloud Data Centers

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Computers, Materials & Continua 2022年第8期72卷 3175-3193页

作者： Mohammad aldossary Hatem A.Alharbi Department of Computer Science College of Arts and SciencePrince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Computer Engineering College of Computer Science and EngineeringTaibah UniversityMadinahSaudi Arabia

Based on the Saudi Green initiative,which aims to improve the Kingdom’s environmental status and reduce the carbon emission of more than 278 million tons by 2030 along with a promising plan to achieve netzero carbon by 2060,NEOM city has been proposed to be the“Saudi hub”for green energy,since NEOM is estimated to generate up to 120 Gigawatts(GW)of renewable energy by ***,the Information and Communication Technology(ICT)sector is considered a key contributor to global energy consumption and carbon *** data centers are estimated to consume about 13%of the overall global electricity demand by ***,reducing the total carbon emissions of the ICT sector plays a vital factor in achieving the Saudi plan to minimize global carbon ***,this paper aims to propose an eco-friendly approach using a Mixed-Integer Linear Programming(MILP)model to reduce the carbon emissions associated with ICT infrastructure in Saudi *** approach considers the Saudi National Fiber Network(SNFN)as the backbone of Saudi Internet ***,we compare two different scenarios of data center *** first scenario considers a traditional cloud data center located in Jeddah and Riyadh,whereas the second scenario considers NEOM as a potential cloud data center new location to take advantage of its green energy ***,we calculate the energy consumption and carbon emissions of cloud data centers and their associated energy *** that,we optimize the energy efficiency of different cloud data centers’locations(in the SNFN)to reduce the associated carbon emissions and energy *** results show that the proposed approach can save up to 94%of the carbon emissions and 62%of the energy cost compared to the current cloud physical *** savings are achieved due to the shifting of cloud data centers from cities that have conventional energy sources to a city that has rich in renewable energy ***,we

关键词： Cloud computing carbon emissions energy efficiency energy consumption energy costs eco-friendly data center

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DeepGan-Privacy Preserving of HealthCare System Using DL

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Intelligent Automation & Soft Computing 2023年第8期37卷 2199-2212页

作者： Sultan Mesfer aldossary Prince Sattam Bin Abdulaziz University Wadi Ad Dawaser11990Saudi Arabia

The challenge of encrypting sensitive information of a medical image in a healthcare system is still one that requires a high level of computing complexity,despite the ongoing development of *** looking through the previous research,it has become clear that the security issues still need to be looked into further because there is room for expansion in the research ***,neural networks have emerged as a cost-effective and effective optimization strategy in terms of providing security for *** revelation came about as a result of current ***,such an implementation is a technique that is expensive to compute and does not handle the huge variety of different assaults that may be made on *** primary objective of the system that has been described is to provide evidence of a complex framework in which deep neural networks have been applied to improve the efficiency of basic encryption *** research has led to the development and proposal of an enhanced version of methods that have previously been used to encrypt ***,the generative adversarial network(GAN),commonly known as GAN,will serve as the learning network that generates the private *** transformation domain,which reflects the one-of-a-kind fashion of the private key that is to be formed,is also meant to lead the learning network in the process of actually accomplishing the private key creation *** scheme may be utilized to train an excellent Deep Neural Networks(DNN)model while instantaneously maintaining the confidentiality of training medical *** was tested by the proposed approach DeepGAN on open-source medical datasets,and three sets of data:The Ultrasonic Brachial Plexus,the Montgomery County Chest X-ray,and the *** findings indicate that it is successful in maintaining both performance and privacy,and the findings of the assessment and the findings of the security investigation suggest that the de

关键词： Healthcare cryptography deep learning adversarial network privacy

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