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| 1 | The wonders of BMP9:From mesenchymal stem cell differentiation,angiogenesis,neurogenesis,tumorigenesis,and metabolism to regenerative medicine显示文摘Although bone morphogenetic proteins(BMPs)initially showed effective induction of ectopic bone growth in muscle,it has since been determined that these proteins,as members of the TGF-b superfamily,play a diverse and critical array of biological roles.These roles include regulating skeletal and bone formation,angiogenesis,and development and homeostasis of multiple organ systems.Disruptions of the members of the TGF-b/BMP superfamily result in severe skeletal and extra-skeletal irregularities,suggesting high therapeutic potential from understanding this family of BMP proteins.Although it was once one of the least characterized BMPs,BMP9 has revealed itself to have the highest osteogenic potential across numerous experiments both in vitro and in vivo,with recent studies suggesting that the exceptional potency of BMP9 may result from unique signaling pathways that differentiate it from other BMPs.The effectiveness of BMP9 in inducing bone formation was recently revealed in promising experiments that demonstrated efficacy in the repair of critical sized cranial defects as well as compatibility with bone-inducing bio-implants,revealing the great translational promise of BMP9.Furthermore,emerging evidence indicates that,besides its osteogenic activity,BMP9 exerts a broad range of biological functions,including stem cell differentiation,angiogenesis,neurogenesis,tumorigenesis,and metabolism.This review aims to summarize our current understanding of BMP9 across biology and the body. | Sami Mostafa Mikhail Pakvasa Elam Coalson Allen Zhu Alex Alverdy Hector Castillo Jiaming Fan Alex Li Yixiao Feng Di Wu Elliott Bishop Scott Du Mia Spezia Alissa Li Ofir Hagag Alison Deng Winny Liu Mingyang Li Sherwin S·Ho Aravind Athiviraham Michael J·Lee Jennifer Moriatis Wolf Guillermo A·Ameer Hue H·Luu Rex C·Haydon Jason Strelzow Kelly Hynes Tong-Chuan He Russell R·Reid | 2019 | Genes & Diseases2019，6，3： | 15 |
| 2 | Neural EGF-like protein 1(NELL-1):Signaling crosstalk in mesenchymal stem cells and applications in regenerative medicine显示文摘Bone tissue regeneration holds the potential to solve both osteoporosis and large skeletal defects,two problems associated with significant morbidity.The differentiation of mesenchymal stem cells into the osteogenic lineage requires a specific microenvironment and certain osteogenic growth factors.Neural EGF Like-Like molecule 1(NELL-1)is a secreted glycoprotein that has proven,both in vitro and in vivo,to be a potent osteo-inductive factor.Furthermore,it has been shown to repress adipogenic differentiation and inflammation.NELL-1 can work synergistically with other osteogenic factors such as Bone Morphogenic Protein(BMP)2 and9,and has shown promise for use in tissue engineering and as a systemically administered drug for the treatment of osteoporosis.Here we provide a comprehensive up-to-date review on the molecular signaling cascade of NELL-1 in mesenchymal stem cells and potential applications in bone regenerative engineering. | Mikhail Pakvasa Alex Alverdy Sami Mostafa Eric Wang Lucy Fu Alexander Li Leonardo Oliveira Aravind Athiviraham Michael J.Lee Jennifer Moriatis Wolf Tong-Chuan He Guillermo A.Ameer Russell R.Reid | 2017 | Genes & Diseases2017，4，3： | 13 |
| 3 | 3-D bioprinting technologies in tissue engineering and regenerative medicine:Current and future trends显示文摘Advances in three-dimensional(3D)printing have increased feasibility towards the synthesis of living tissues.Known as 3D bioprinting,this technology involves the precise layering of cells,biologic scaffolds,and growth factors with the goal of creating bioidentical tissue for a variety of uses.Early successes have demonstrated distinct advantages over conventional tissue engineering strategies.Not surprisingly,there are current challenges to address before 3D bioprinting becomes clinically relevant.Here we provide an overview of 3D bioprinting technology and discuss key advances,clinical applications,and current limitations.While 3D bioprinting is a relatively novel tissue engineering strategy,it holds great potential to play a key role in personalized medicine. | Elliot S.Bishop Sami Mostafa Mikhail Pakvasa Hue H.Luu Michael J.Lee Jennifer Moriatis Wolf Guillermo A.Ameer Tong-Chuan He Russell R.Reid | 2017 | Genes & Diseases2017，4，4： | 10 |
| 4 | Effect of rare earth substitutions on some physical properties of Mn-Zn ferrite studied by positron annihilation lifetime spectroscopy 显示文摘 | Samy A M Mostafa N Gomaa E | 2006 | Applied Surface Science2006，252，： | 1 |
| 5 | Monitoring and analysing the Emirate of Dubai’s land use/land cover changes:an integrated,low-cost remote sensing approach显示文摘This study presents a modified low-cost approach,which integrates the spectral angle mapper and image difference algorithms in order to enhance classification maps for the purpose of monitoring and analysing land use/land cover change between 2000 and 2015 for the Emirate of Dubai.The approach was modified by collecting 320 training samples from QuickBird images with a spatial resolution of 0.6 m,as well as carrying out field observations,followed by the application of a 3×3 Soble filter,sieving classes,majority/minority analysis,and clump classes of the obtained classification maps.The accuracy assessment showed that the targeted 2000,2005,2010 and 2015 classification maps have 88.1252%,89.0699%,90.1225%and 96.0965%accuracy,respectively.The results showed that the built-up area increased by 233.721 km^(2)(5.81%)between 2000 and 2005 and continues to increase even up and till the present time.The assessment of changes in the periods 2000–2005 and 2010–2015 confirmed that net vegetation area losses were more pronounced from 2000 to 2005 than from 2010 to 2015,dropping from 47,618 to 40,820 km^(2),respectively.This study is aimed to assist urban planners and decision-makers,as well as research institutes. | Samy Ismail Elmahdy Mohamed Mostafa Mohameda | 2018 | International Journal of Digital Earth2018，11，11： | 1 |
| 6 | Effect of rare earth substitutions on some physical properties of Mn-Zn ferrite studied by positron annihilation lifetime spectroscopy显示文摘 | Samy A M Mostafa E | 2006 | Applied Surface Science2006，252，23： | 1 |
| 7 | Effect of rare earth substitutions on some physical properties of Mn-Zn ferrite studied by positron annihilation lifetime spectroscopy显示文摘 | Samy A M Mostafa N Gomaa E | 2006 | Applied Surface Science2006，252，9： | 1 |
| 8 | Hybrid Dipper Throated and Grey Wolf Optimization for Feature Selection Applied to Life Benchmark Datasets显示文摘Selecting the most relevant subset of features from a dataset is a vital step in data mining and machine learning.Each feature in a dataset has 2n possible subsets,making it challenging to select the optimum collection of features using typical methods.As a result,a new metaheuristicsbased feature selection method based on the dipper-throated and grey-wolf optimization(DTO-GW)algorithms has been developed in this research.Instability can result when the selection of features is subject to metaheuristics,which can lead to a wide range of results.Thus,we adopted hybrid optimization in our method of optimizing,which allowed us to better balance exploration and harvesting chores more equitably.We propose utilizing the binary DTO-GW search approach we previously devised for selecting the optimal subset of attributes.In the proposed method,the number of features selected is minimized,while classification accuracy is increased.To test the proposed method’s performance against eleven other state-of-theart approaches,eight datasets from the UCI repository were used,such as binary grey wolf search(bGWO),binary hybrid grey wolf,and particle swarm optimization(bGWO-PSO),bPSO,binary stochastic fractal search(bSFS),binary whale optimization algorithm(bWOA),binary modified grey wolf optimization(bMGWO),binary multiverse optimization(bMVO),binary bowerbird optimization(bSBO),binary hysteresis optimization(bHy),and binary hysteresis optimization(bHWO).The suggested method is superior 4532 CMC,2023,vol.74,no.2 and successful in handling the problem of feature selection,according to the results of the experiments. | Doaa Sami Khafaga El-Sayed M.El-kenawy Faten Khalid Karim Mostafa Abotaleb Abdelhameed Ibrahim Abdelaziz A.Abdelhamid D.L.Elsheweikh | 2023 | Computers, Materials & Continua2023，，2： | 1 |
| 9 | Network Intrusion Detection Based on Feature Selection and Hybrid Metaheuristic Optimization显示文摘Applications of internet-of-things(IoT)are increasingly being used in many facets of our daily life,which results in an enormous volume of data.Cloud computing and fog computing,two of the most common technologies used in IoT applications,have led to major security concerns.Cyberattacks are on the rise as a result of the usage of these technologies since present security measures are insufficient.Several artificial intelligence(AI)based security solutions,such as intrusion detection systems(IDS),have been proposed in recent years.Intelligent technologies that require data preprocessing and machine learning algorithm-performance augmentation require the use of feature selection(FS)techniques to increase classification accuracy by minimizing the number of features selected.On the other hand,metaheuristic optimization algorithms have been widely used in feature selection in recent decades.In this paper,we proposed a hybrid optimization algorithm for feature selection in IDS.The proposed algorithm is based on grey wolf(GW),and dipper throated optimization(DTO)algorithms and is referred to as GWDTO.The proposed algorithm has a better balance between the exploration and exploitation steps of the optimization process and thus could achieve better performance.On the employed IoT-IDS dataset,the performance of the proposed GWDTO algorithm was assessed using a set of evaluation metrics and compared to other optimization approaches in 2678 CMC,2023,vol.74,no.2 the literature to validate its superiority.In addition,a statistical analysis is performed to assess the stability and effectiveness of the proposed approach.Experimental results confirmed the superiority of the proposed approach in boosting the classification accuracy of the intrusion in IoT-based networks. | Reem Alkanhel El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Manal Abdullah Alohali Mostafa Abotaleb Doaa Sami Khafaga | 2023 | Computers, Materials & Continua2023，，2： | 0 |
| 10 | Hybrid Grey Wolf and Dipper Throated Optimization in Network Intrusion Detection Systems显示文摘The Internet of Things(IoT)is a modern approach that enables connection with a wide variety of devices remotely.Due to the resource constraints and open nature of IoT nodes,the routing protocol for low power and lossy(RPL)networks may be vulnerable to several routing attacks.That’s why a network intrusion detection system(NIDS)is needed to guard against routing assaults on RPL-based IoT networks.The imbalance between the false and valid attacks in the training set degrades the performance of machine learning employed to detect network attacks.Therefore,we propose in this paper a novel approach to balance the dataset classes based on metaheuristic optimization applied to locality-sensitive hashing and synthetic minority oversampling technique(LSH-SMOTE).The proposed optimization approach is based on a new hybrid between the grey wolf and dipper throated optimization algorithms.To prove the effectiveness of the proposed approach,a set of experiments were conducted to evaluate the performance of NIDS for three cases,namely,detection without dataset balancing,detection with SMOTE balancing,and detection with the proposed optimized LSHSOMTE balancing.Experimental results showed that the proposed approach outperforms the other approaches and could boost the detection accuracy.In addition,a statistical analysis is performed to study the significance and stability of the proposed approach.The conducted experiments include seven different types of attack cases in the RPL-NIDS17 dataset.Based on the 2696 CMC,2023,vol.74,no.2 proposed approach,the achieved accuracy is(98.1%),sensitivity is(97.8%),and specificity is(98.8%). | Reem Alkanhel Doaa Sami Khafaga El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Rashid Amin Mostafa Abotaleb B.M.El-den | 2023 | Computers, Materials & Continua2023，，2： | 0 |
| 11 | Doping effect of SrZrO_(3) on KNLN ceramics structure and their dielectric properties显示文摘In this work,lead-free systems;(1-x)(K_(0.465)Na_(0.465)Li_(0.07))NbO_(3)–xSrZrO_(3)(x=0,0.005,0.050,0.095 and 0.14)were synthesized by the conventional solid-state reaction technique.XRD,SEM,densification parameter as well as dielectric parameters of the obtained KNLN ceramics were investigated.XRD analysis showed the formation of orthorhombic perovskite structure in all investigated specimens.SrZrO_(3)(SZ)inhibited the grain growth and increased the distribution of grains uniformly in the microstructure.In addition,SZ changed the crystalline system of KNLN ceramics abnormally.As a consequence,the permittivity,dielectric loss as well as AC conductivity decreased remarkably.The ceramics of x=0.005 are characterized by low conductivity(10-10 S/cm),low dielectric loss(0.005)and relatively high permittivity(34).They can be useful for the electrical capacitors fabrication and filtering out noise from signals in resonant circuits.At frequencies lower than 105 Hz,DC conductivity and separation of the charges at the interfaces were found to dominate the electrical behavior of ceramics,whereas at higher frequencies,a faster or dipole polarization may become more dominated.A broad peak has been observed in the imaginary part of electric modulus revealing to the non-Debye dielectric relaxation behavior.Quantum mechanical tunneling(QMT)was found to be the most suitable to characterize the electrical conduction mechanism in the ceramic compounds. | Emad Ewais Ragab Mahani Samy Mostafa Adel Ahmedx | 2018 | Journal of Advanced Dielectrics2018，8，5： | 0 |
| 12 | Dipper Throated Optimization for Detecting Black-Hole Attacks inMANETs显示文摘In terms of security and privacy,mobile ad-hoc network(MANET)continues to be in demand for additional debate and development.As more MANET applications become data-oriented,implementing a secure and reliable data transfer protocol becomes a major concern in the architecture.However,MANET’s lack of infrastructure,unpredictable topology,and restricted resources,as well as the lack of a previously permitted trust relationship among connected nodes,contribute to the attack detection burden.A novel detection approach is presented in this paper to classify passive and active black-hole attacks.The proposed approach is based on the dipper throated optimization(DTO)algorithm,which presents a plausible path out of multiple paths for statistics transmission to boost MANETs’quality of service.A group of selected packet features will then be weighed by the DTO-based multi-layer perceptron(DTO-MLP),and these features are collected from nodes using the Low Energy Adaptive Clustering Hierarchical(LEACH)clustering technique.MLP is a powerful classifier and the DTO weight optimization method has a significant impact on improving the classification process by strengthening the weights of key features while suppressing the weights ofminor features.This hybridmethod is primarily designed to combat active black-hole assaults.Using the LEACH clustering phase,however,can also detect passive black-hole attacks.The effect of mobility variation on detection error and routing overhead is explored and evaluated using the suggested approach.For diverse mobility situations,the results demonstrate up to 97%detection accuracy and faster execution time.Furthermore,the suggested approach uses an adjustable threshold value to make a correct conclusion regarding whether a node is malicious or benign. | Reem Alkanhel El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mostafa Abotaleb Doaa Sami Khafaga | 2023 | Computers, Materials & Continua2023，，1： | 0 |
| 13 | Enhanced Heap-Based Optimizer Algorithm for Solving Team Formation Problem显示文摘Team Formation(TF)is considered one of the most significant problems in computer science and optimization.TF is defined as forming the best team of experts in a social network to complete a task with least cost.Many real-world problems,such as task assignment,vehicle routing,nurse scheduling,resource allocation,and airline crew scheduling,are based on the TF problem.TF has been shown to be a Nondeterministic Polynomial time(NP)problem,and high-dimensional problem with several local optima that can be solved using efficient approximation algorithms.This paper proposes two improved swarm-based algorithms for solving team formation problem.The first algorithm,entitled Hybrid Heap-Based Optimizer with Simulated Annealing Algorithm(HBOSA),uses a single crossover operator to improve the performance of a standard heap-based optimizer(HBO)algorithm.It also employs the simulated annealing(SA)approach to improve model convergence and avoid local minima trapping.The second algorithm is the Chaotic Heap-based Optimizer Algorithm(CHBO).CHBO aids in the discovery of new solutions in the search space by directing particles to different regions of the search space.During HBO’s optimization process,a logistic chaotic map is used.The performance of the two proposed algorithms(HBOSA)and(CHBO)is evaluated using thirteen benchmark functions and tested in solving the TF problem with varying number of experts and skills.Furthermore,the proposed algorithms were compared to well-known optimization algorithms such as the Heap-Based Optimizer(HBO),Developed Simulated Annealing(DSA),Particle SwarmOptimization(PSO),GreyWolfOptimization(GWO),and Genetic Algorithm(GA).Finally,the proposed algorithms were applied to a real-world benchmark dataset known as the Internet Movie Database(IMDB).The simulation results revealed that the proposed algorithms outperformed the compared algorithms in terms of efficiency and performance,with fast convergence to the global minimum. | Nashwa Nageh Ahmed Elshamy Abdel Wahab Said Hassan Mostafa Sami Mustafa Abdul Salam | 2022 | Computers, Materials & Continua2022，，12： | 0 |
| 14 | Al-Biruni Based Optimization of Rainfall Forecasting in Ethiopia显示文摘Rainfall plays a significant role in managing the water level in the reser-voir.The unpredictable amount of rainfall due to the climate change can cause either overflow or dry in the reservoir.Many individuals,especially those in the agricultural sector,rely on rain forecasts.Forecasting rainfall is challenging because of the changing nature of the weather.The area of Jimma in southwest Oromia,Ethiopia is the subject of this research,which aims to develop a rainfall forecasting model.To estimate Jimma's daily rainfall,we propose a novel approach based on optimizing the parameters of long short-term memory(LSTM)using Al-Biruni earth radius(BER)optimization algorithm for boosting the fore-casting accuracy.N ash-Sutcliffe model eficiency(NSE),mean square error(MSE),root MSE(RMSE),mean absolute error(MAE),and R2 were all used in the conducted experiments to assess the proposed approach,with final scores of(0.61),(430.81),(19.12),and(11.09),respectively.Moreover,we compared the proposed model to current machine-learning regression models;such as non-optimized LSTM,bidirectional LSTM(BiLSTM),gated recurrent unit(GRU),and convolutional LSTM(ConvLSTM).It was found that the proposed approach achieved the lowest RMSE of(19.12).In addition,the experimental results show that the proposed model has R-with a value outperforming the other models,which confirms the superiority of the proposed approach.On the other hand,a statistical analysis is performed to measure the significance and stability of the proposed approach and the recorded results proved the expected perfomance. | El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Fadwa Alrowais Mostafa Abotaleb Abdelhameed Ibrahim Doaa Sami Khafaga | 2023 | Computer Systems Science & Engineering2023，45，6： | 0 |
| 15 | Al-Biruni Earth Radius Optimization for COVID-19 Forecasting显示文摘Several instances of pneumonia with no clear etiology were recorded in Wuhan,China,on December 31,2019.The world health organization(WHO)called it COVID-19 that stands for“Coronavirus Disease 2019,”which is the second version of the previously known severe acute respiratory syndrome(SARS)Coronavirus and identified in short as(SARSCoV-2).There have been regular restrictions to avoid the infection spread in all countries,including Saudi Arabia.The prediction of new cases of infections is crucial for authorities to get ready for early handling of the virus spread.Methodology:Analysis and forecasting of epidemic patterns in new SARSCoV-2 positive patients are presented in this research using metaheuristic optimization and long short-term memory(LSTM).The optimization method employed for optimizing the parameters of LSTM is Al-Biruni Earth Radius(BER)algorithm.Results:To evaluate the effectiveness of the proposed methodology,a dataset is collected based on the recorded cases in Saudi Arabia between March 7^(th),2020 and July 13^(th),2022.In addition,six regression models were included in the conducted experiments to show the effectiveness and superiority of the proposed approach.The achieved results show that the proposed approach could reduce the mean square error(MSE),mean absolute error(MAE),and R^(2)by 5.92%,3.66%,and 39.44%,respectively,when compared with the six base models.On the other hand,a statistical analysis is performed to measure the significance of the proposed approach.Conclusions:The achieved results confirm the effectiveness,superiority,and significance of the proposed approach in predicting the infection cases of COVID-19. | El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mostafa Abotaleb Tatiana Makarovskikh Amal H.Alharbi Doaa Sami Khafaga | 2023 | Computer Systems Science & Engineering2023，46，7： | 0 |
| 16 | Micropunch grafting for healing of refractory chronic venous leg ulcers显示文摘Background: Chronic venous ulcers are a serious problem for both patients and physicians. The CEAP classification(clinical manifestations(C), etiologic factors(E), anatomic distribution of disease(A), and underlying pathophysiologic findings(P)) for chronic venous disorders(CVD) was developed in 1994. Published papers on CVD use all or part of the CEAP. Micropunch grafts, which are a variation of skin grafts, have been used with great success in plastic surgery for both esthetic and reconstructive purposes. This study aimed to assess the outcomes of micropunch grafting in the treatment of chronic refractory venous ulcers.Methods: Patients with chronic venous ulcers who did not respond to conservative treatment for more than 6months were included in the study. All patients underwent ulcer coverage by micropunch skin grafts using a micrometer. The patients were discharged on the same day as the surgery. Micropunch skin grafts were manually counted per square centimeter intraoperatively and during follow-up using Dermlite DermatoschopeTM II Pro HR.Patient satisfaction was assessed by using a questionnaire.Results: Twenty patients underwent the surgery. Most of the patients were middle-aged males. The ulcers were predominantly small-and medium-sized. The mean operation time was 167.00 ± 86.01 min. After 6 months, the survival rate of the planted micrografts was 84%. Three ulcers had graft loss and two patients had an infection at the ulcer site, which was managed conservatively. The patients were followed-up for 14 months.Conclusion: Micropunch grafting is a useful and convenient method for the treatment of difficult venous ulcers and can be performed on an outpatient basis. | Aya Mohamed Samy Mostafa Abd El-Halim Ahmed Hassan El-Sabbagh | 2022 | Chinese Journal Of Plastic and Reconstructive Surgery2022，4，4： | 0 |
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