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Risk prediction model for cutaneous squamous cell carcinoma in adult cardiac allograft recipients

World Journal of Transplantation 2021年第3期11卷 54-69页

作者： Nandini Nair Zhiyong Hu Dongping Du Enrique Gongora Division of Cardiology Department of Internal MedicineTexas Tech Health Sciences CenterLubbockTX 79430United States Department of Industrial Manufacturing and Systems EngineeringTexas Tech UniversityLubbockTX 79409United States Department of Cardiothoracic Surgery University of Alabama at BirminghamBirminghamAL 35233United States

BACKGROUND Heart transplant recipients are at higher risk of developing skin cancer than the general population due to the long-term immunosuppression *** has been reported as one of the major causes of morbidity and mortality for patients after heart *** different types of skin cancers,cutaneous squamous cell carcinoma(cSCC)is the most common one,which requires timely screening and better *** To identify risk factors and predict the incidence of cSCC for heart transplant *** We retrospectively analyzed adult heart transplant recipients between 2000 and 2015 extracted from the United Network for Organ Sharing *** whole dataset was randomly divided into a derivation set(80%)and a validation set(20%).Uni-and multivariate Cox regression were done to identify significant risk factors associated with the development of *** operating characteristics curves were generated and area under the curve(AUC)was calculated to assess the accuracy of the prediction *** on the selected risk factors,a risk scoring system was developed to stratify patients into different risk groups.A cumulative cSCC-free survival curve was generated using the Kaplan-Meier method for each group,and the log-rank test was done to compare the intergroup cSCC *** There were 23736 heart-transplant recipients during the study period,and 1827 of them have been reported with *** predictors of post-transplant cSCC were older age,male sex,white race,recipient and donor human leukocyte antigen(HLA)mismatch level,malignancy at listing,diagnosis with restrictive myopathy or hypertrophic myopathy,heart re-transplant,and induction therapy with OKT3 or *** multivariate model was used to predict the 5-,8-and 10-year incidence of cSCC and respectively provided AUC of 0.79,0.78 and 0.77 in the derivation set and 0.80,0.78 and 0.77 in the validation *** risk scoring system assigned each patient with a

关键词： Cutaneous squamous cell carcinoma Heart transplantation Cox proportional hazard model Risk assessment Squamous cell carcinoma Mortality outcomes

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Acceptability of a reformulated grain-based food:Implications for increasing whole grain consumption

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Food Science and Human Wellness 2013年第3期2卷 105-112页

作者： A.Manickavasagan M.Reicks V.Singh A.Sawsana A.M.Intisar R.Lakshmya Sensory and Food Preparation Laboratory College of Agricultural and Marine SciencesSultan Qaboos UniversityAl-KhoudP.O.Box 34Pin 123Oman Department of Food Science and Nutrition College of FoodAgriculturaland Natural Resource SciencesUniversity of MinnesotaSt.PaulMN 55108USA

Idli is a popular Indian breakfast dish consumed by many people all over the world,made from white rice(Oryza sativum)(75%–80%)and black gram(Phaseolus mungo)(20%–25%).Idli’s wide consumption makes it ideal as a model for studying acceptability of a food reformulated with whole *** objective was to compare acceptability regarding texture,color and sensory properties when white rice was replaced with brown rice at 5 replacement levels(0%(control),25%,50%,75%and 100%).Textural attributes and L*a*b*color values were measured by a texture analyzer and a Chroma meter,*** and blind sensory tests were *** hardness and gumminess were proportional to the level of whole grain replacement,while springiness and cohesiveness did not vary by replacement *** ratings for overall acceptability were similar at the three lowest levels of brown rice *** brown rice replacement reduced the liking score for various sensory attributes,especially for 75%and 100%replacements,more than 90%of the panelists preferred brown-rice-blended idli as their first *** are ample opportunities to increase whole grain consumption through reformulation of regularly consumed traditional refined grain foods by partial or complete replacement with whole grains.©2013 Beijing Academy of Food *** and hosting by Elsevier *** rights reserved.

关键词： Idli Brown rice Acceptability Texture profile analysis(TPA) Color Sensory test

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Optimal Machine Learning Driven Sentiment Analysis on COVID-19 Twitter Data

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Computers, Materials & Continua 2023年第4期75卷 81-97页

作者： Bahjat Fakieh Abdullah S.al-Malaise al-Ghamdi Farrukh Saleem Mahmoud Ragab Information Systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Center of Excellence in Smart Environment Research King Abdulaziz UniversityJeddah21589Saudi Arabia Information Systems Department HECI SchoolDar Alhekma UniversityJeddahSaudi Arabia Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Centre for Artificial Intelligence in Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia

The outbreak of the pandemic,caused by Coronavirus Disease 2019(COVID-19),has affected the daily activities of people across the *** COVID-19 outbreak and the successive lockdowns,Twitter was heavily used and the number of tweets regarding COVID-19 increased *** studies used Sentiment Analysis(SA)to analyze the emotions expressed through tweets upon ***,in current study,a new Artificial Bee Colony(ABC)with Machine Learning-driven SA(ABCMLSA)model is developed for conducting Sentiment Analysis of COVID-19 Twitter *** prime focus of the presented ABCML-SA model is to recognize the sentiments expressed in tweets made *** involves data pre-processing at the initial stage followed by n-gram based feature extraction to derive the feature *** identification and classification of the sentiments,the Support Vector Machine(SVM)model is *** last,the ABC algorithm is applied to fine tune the parameters involved in *** demonstrate the improved performance of the proposed ABCML-SA model,a sequence of simulations was *** comparative assessment results confirmed the effectual performance of the proposed ABCML-SA model over other approaches.

关键词： Sentiment analysis twitter data data mining COVID-19 machine learning artificial bee colony

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Efficient Forgery Detection Approaches for Digital Color Images

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Computers, Materials & Continua 2022年第5期71卷 3257-3276页

作者： Amira Baumy Abeer D.algarni Mahmoud Abdalla Walid El-Shafai Fathi E.Abd El-Samie Naglaa F.Soliman Department of Communications High Institute for Engineering and TechnologyAl-Obour Obour CityEgypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Department of Electronics and Communications Engineering Faculty of EngineeringZagazig UniversityZagazigSharqia44519Egypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia

This paper is concerned with a vital topic in image processing:color image forgery detection. The development of computing capabilitieshas led to a breakthrough in hacking and forgery attacks on signal, image,and data communicated over networks. Hence, there is an urgent need fordeveloping efficient image forgery detection algorithms. Two main types offorgery are considered in this paper: splicing and copy-move. Splicing isperformed by inserting a part of an image into another image. On the otherhand, copy-move forgery is performed by copying a part of the image intoanother position in the same image. The proposed approach for splicingdetection is based on the assumption that illumination between the originaland tampered images is different. To detect the difference between the originaland tampered images, the homomorphic transform separates the illuminationcomponent from the reflectance component. The illumination histogramderivative is used for detecting the difference in illumination, and henceforgery detection is accomplished. Prior to performing the forgery detectionprocess, some pre-processing techniques, including histogram equalization,histogram matching, high-pass filtering, homomorphic enhancement, andsingle image super-resolution, are introduced to reinforce the details andchanges between the original and embedded sections. The proposed approachfor copy-move forgery detection is performed with the Speeded Up RobustFeatures (SURF) algorithm, which extracts feature points and feature vectors. Searching for the copied partition is accomplished through matchingwith Euclidian distance and hierarchical clustering. In addition, some preprocessing methods are used with the SURF algorithm, such as histogramequalization and single-mage super-resolution. Simulation results proved thefeasibility and the robustness of the pre-processing step in homomorphicdetection and SURF detection algorithms for splicing and copy-move forgerydetection, respectively.

关键词： Image forgery splicing algorithm copy-move algorithm histogram matching homomorphic enhancement SISR SURF

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Multipartite quantum correlations among atoms in QED cavities

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Frontiers of physics 2018年第1期13卷 163-178页

作者： J. Batle A. Farouk O. Tarawneh S. Abdalla Departament de Fisica Universitat de les Illes Balears 07122 Palma de Mallorca Balearic Islands Spain Faculty of Computer and Information Sciences Mansoura University Egypt Information Technology Department Al-Zahra College for Women P.O. Box 3365 Muscat Oman Department of Physics Faculty of Science King Abdulaziz University Jeddah P.O. Box 80203. Jeddah 21589 Saudi Arabia

We study the nonlocality dynamics for two models of atoms in cavity quantum electrodynamics （QED）; the first model contains atoms in a single cavity undergoing nearest-neighbor interactions with no initial correlation, and tile second contains atoms confined in n different and noninteracting cavities, all of which were initially prepared in a maximally correlated state of n qubits corresponding to the atomic degrees of freedom. The nonlocality evolution of the states in the second model shows that the corresponding maximal violation of a multipartite Bell inequality exhibits revivals at precise times, defining, nonlocality sudden deaths and nonlocality sudden rebirths, in analogy with entanglement. These quantum correlations are provided analytically for the second model to make the study more thorough. Differences in the first model regarding whether the array of atoms inside the cavity is arranged in a periodic or open fashion are crucial to the generation or redistribution of quantum correlations. This contribution paves the way to using the nonlocality multipartite correlation measure for describing the collective complex behavior displayed by slightly interacting cavity QED arrays.

关键词： quantum optics cavity quantum electrodynamics multipartite nonlocality

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Runx1 is a key regulator of articular cartilage homeostasis by orchestrating YAP,TGFβ,and Wnt signaling in articular cartilage formation and osteoarthritis

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Bone Research 2022年第4期10卷 882-892页

作者： Yan Zhang Tao Zuo Abigail McVicar Hui-Lin Yang Yi-Ping Li Wei Chen Department of Pathology University of Alabama at BirminghamBirminghamAL 35294USA Key Laboratory of Biomedical Information Engineering of Ministry of Education Biomedical Informatics and Genomics CenterSchool of Life Science and TechnologyXi’an Jiaotong UniversityXi’an 710049 ShaanxiP.R.China Department of Orthopaedics the First Affiliated Hospital of Soochow UniversityOrthopaedic Institute of Soochow University899 Pinghai RoadSuzhou 215031 JiangsuP.R.China Division in Cellular and Molecular Medicine Department of Pathology and Laboratory MedicineTulane University School of MedicineTulane UniversityNew OrleansLA 70112USA

Runt-related transcription factor 1(Runx1)plays a key role in cartilage formation,but its function in articular cartilage formation is *** generated non-inducible and inducible Runx1-deficient mice(Runx1^(f/f)Col2α1-Cre and Runx1^(f/f)Col2α1-CreER mice)and found that chondrocyte-specific Runx1-deficient mice developed a spontaneous osteoarthritis(OA)-like phenotype and showed exacerbated articular cartilage destruction under OA,characterized by articular cartilage degradation and cartilage ossification,with decreased Col2α1 expression and increased Mmp13 and Adamts5 ***-sequencing analysis of hip articular cartilage from the Runx1^(f/f)Col2α1-Cre mice compared to that from wild-type mice and subsequent validation analyses demonstrated that Runx1 is a central regulator in multiple signaling pathways,converging signals of the Hippo/Yap,TGFβ/Smad,and Wnt/β-catenin pathways into a complex network to regulate the expression of downstream genes,thereby controlling a series of osteoarthritic pathological ***-sequencing analysis of mutant knee joints showed that Runx1’s role in signaling pathways in articular cartilage is different from that in whole knee joints,indicating that Runx1 regulation is *** analysis confirmed that Runx1 deficiency decreased the levels of YAP and p-Smad2/3 and increased the levels of activeβ-*** of Runx1 dramatically increased YAP expression in ***-associated virus-mediated Runx1 overexpression in the knee joints of osteoarthritic mice showed the protective effect of Runx1 on articular cartilage damaged in *** results notably showed that Runx1 is a central regulator of articular cartilage homeostasis by orchestrating the YAP,TGFβ,and Wnt signaling pathways in the formation of articular cartilage and OA,and targeting Runx1 and its downstream genes may facilitate the design of novel therapeutic approaches for OA.

关键词： cartilage homeostasis protective

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Image Encryption algorithm Based on New Fractional Beta Chaotic Maps

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Computer Modeling in Engineering & Sciences 2022年第7期132卷 119-131页

作者： Rabha W.Ibrahim Hayder Natiq Ahmed alkhayyat alaa Kadhim Farhan Nadia M.G.al-Saidi Dumitru Baleanu Institute of Electrical and Electronics Engineers Kuala Lumpur59200Malaysia Information Technology College Imam Ja’afar Al-Sadiq UniversityBaghdad10001Iraq Department of Computer Technical Engineering College of Technical EngineeringIslamic UniversityNajaf192122Iraq Department of Computer Sciences University of TechnologyBaghdad10066Iraq Department of Applied Sciences University of TechnologyBaghdad10066Iraq Department of Mathematics Cankaya UniversityBalgatAnkara06530Turkey Institute of Space Sciences Magurele-BucharestR76900Romania Department of Medical Research China Medical UniversityTaichung40402Taiwan

In this study,a new algorithm of fractional beta chaotic maps is proposed to generate chaotic sequences for image *** proposed technique generates multi random sequences by shuffling the image pixel *** technique is used to blur the pixels connecting the input and encrypted images and to increase the attack *** proposed algorithm makes the encryption process sophisticated by using fractional chaotic maps,which hold the properties of *** fractional beta sequences are utilized to alter the image pixels to decryption *** experimental results proved that the proposed image encryption algorithm successfully encrypted and decrypted the images with the same *** output findings indicate that our proposed algorithm has good entropy and low correlation *** translates to enhanced security against different attacks.A MATLAB programming tool was used to implement and assess the image quality measures.A comparison with other image encryption techniques regarding the visual inspection and signal-to-noise ratio is provided.

关键词： Fractional calculus fractional beta function chaotic function image encryption

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Novel Analytical Thermal Performance Rate Analysis in ZnO-SAE50 Nanolubricant: Nonlinear Mathematical Model

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Computers, Materials & Continua 2021年第4期67卷 477-489页

作者： Adnan Abbasi Umar Khan Naveed Ahmed Syed Tauseef Mohyud-Din Ilyas Khan El-Sayed M.Sherif Department of Mathematics Mohi-ud-Din Islamic UniversityNerian SharifAJ&K12080Pakistan Department of Mathematics and Statistics Hazara UniversityMansehra21120Pakistan Department of Mathematics HITEC UniversityTaxilaCantt47070Pakistan university of Multan Multan66000Pakistan Department of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh City72915Vietnam Department of Mechanical Engineering College of EngineeringKing Saud UniversityAl-Riyadh11421Saudi Arabia Department of Physical Chemistry Electrochemistry and Corrosion LaboratoryNational Research CentreCairo12622Egypt

The investigation of local thermal transport rate in the nanolubricants is *** lubricants are broadly used in environmental pollution,mechanical engineering and in the paint industry due to high thermal performance ***,thermal transport in ZnO-SAE50 nanolubricant under the impacts of heat generation/absorption is *** colloidal suspension is flowing between parallel stretching disks in which the lower disk is positioned at z=0 and upper disk apart from distance *** problem is transformed in dimensionless version via described similarity *** the next stage,an analytical technique(VPM)is implemented for the solution *** graphical results against multiple flow parameters were furnished over the region of interest and explained *** is imperative to mention that the results are plotted for ZnO-SAE50 and conventional liquid as ***,rapid motion of the fluid is perceived against high Reynolds andγ*** wall shear stresses at the upper end rises for multiple Reynolds andγwhile;decrement is detected at the lower *** significant contribution of an internal heat source is noted for thermal performance rate at the upper ***,the local heat transport rate declines at the lower *** altering Reynolds number,prompt heat transfer rate is gained at the upper disk and increasing behavior of the local heat transport rate is slow at the lower *** the study,it is concluded that the nanolubricants have high thermal ***,such fluids are reliable to use in above stated areas.

关键词： Zno-SAE50 nanolubricant thermal performance local heat transport numerical algorithm skin friction

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Path Planning of Quadrotors in a Dynamic Environment Using a Multicriteria Multi-Verse Optimizer

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Computers, Materials & Continua 2021年第11期69卷 2159-2180页

作者： Raja Jarray Mujahed al-Dhaifallah Hegazy Rezk Soufiene Bouallègue Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of Tunis El ManarTunis1002Tunisia Department of Systems Engineering King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt High Institute of Industrial Systems of Gabès(ISSIG) University of GabèsGabès6011Tunisia

Paths planning of Unmanned Aerial Vehicles(UAVs)in a dynamic environment is considered a challenging task in autonomous flight control *** this work,an efficient method based on a Multi-Objective MultiVerse Optimization(MOMVO)algorithm is proposed and successfully applied to solve the path planning problem of quadrotors with moving *** a path planning task is formulated as a multicriteria optimization problem under operational *** proposed MOMVO-based planning approach aims to lead the drone to traverse the shortest path from the starting point and the target without collision with moving *** vehicle moves to the next position from its current one such that the line joining minimizes the total path length and allows aligning its direction towards the *** choose the best compromise solution among all the non-dominated Pareto ones obtained for compromise objectives,the modified Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)is investigated.A set of homologous metaheuristics such as Multiobjective Salp Swarm algorithm(MSSA),Multi-Objective Grey Wolf Optimizer(MOGWO),Multi-Objective Particle Swarm Optimization(MOPSO),and Non-Dominated Genetic algorithm II(NSGAII)is used as a basis for the performance *** results and statistical analyses show the superiority and effectiveness of the proposed MOMVO-based planning *** obtained results are satisfactory and encouraging for future practical implementation of the path planning strategy.

关键词： Quadrotors path planning dynamic obstacles multi-objective optimization global metaheuristics TOPSIS decision-making Friedman statistical tests

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A Lightweight Deep Learning-Based Model for Tomato Leaf Disease Classification

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Computers, Materials & Continua 2023年第12期77卷 3969-3992页

作者： Naeem Ullah Javed ali Khan Sultan almakdi Mohammed S.alshehri Mimonah al Qathrady Eman Abdullah aldakheel Doaa Sami Khafaga Department of Software Engineering University of Engineering and TechnologyTaxila4400Pakistan Department of Computer Science Faculty of PhysicsEngineeringand Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Departments of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Tomato leaf diseases significantly impact crop production,necessitating early detection for sustainable *** Learning(DL)has recently shown excellent results in identifying and classifying tomato leaf ***,current DL methods often require substantial computational resources,hindering their application on resource-constrained *** propose the Deep Tomato Detection Network(DTomatoDNet),a lightweight DL-based framework comprising 19 learnable layers for efficient tomato leaf disease classification to overcome *** Convn kernels used in the proposed(DTomatoDNet)framework is 1×1,which reduces the number of parameters and helps in more detailed and descriptive feature extraction for *** proposed DTomatoDNet model is trained from scratch to determine the classification success rate.10,000 tomato leaf images(1000 images per class)from the publicly accessible dataset,covering one healthy category and nine disease categories,are utilized in training the proposed DTomatoDNet *** specifically,we classified tomato leaf images into Target Spot(TS),Early Blight(EB),Late Blight(LB),Bacterial Spot(BS),Leaf Mold(LM),Tomato Yellow Leaf Curl Virus(YLCV),Septoria Leaf Spot(SLS),Spider Mites(SM),Tomato Mosaic Virus(MV),and Tomato Healthy(H).The proposed DTomatoDNet approach obtains a classification accuracy of 99.34%,demonstrating excellent accuracy in differentiating between tomato *** model could be used on mobile platforms because it is lightweight and designed with fewer *** farmers can utilize the proposed DTomatoDNet methodology to detect disease more quickly and easily once it has been integrated into mobile platforms by developing a mobile application.

关键词： CNN deep learning DTomatoDNet tomato leaf disease classification smart agriculture

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