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Enhanced Heap-Based Optimizer Algorithm for Solving Team Formation Problem

Computers, Materials & Continua 2022年第12期73卷 5245-5268页

作者： Nashwa Nageh Ahmed Elshamy Abdel Wahab Said Hassan mostafa sami Mustafa Abdul Salam Faculty of Science Suez Canal UniversityIsmailiaEgypt Faculty of Computers and Artificial Intelligence Helwan UniversityHelwanEgypt Faculty of Computers and Artificial Intelligence Benha UniversityBenha 13518Egypt Faculty of Computer Studies Arab Open UniversityCairoEgypt

Team Formation(TF)is considered one of the most significant problems in computer science and *** is defined as forming the best team of experts in a social network to complete a task with least *** real-world problems,such as task assignment,vehicle routing,nurse scheduling,resource allocation,and airline crew scheduling,are based on the 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 *** paper proposes two improved swarm-based algorithms for solving team formation *** 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)*** also employs the simulated annealing(SA)approach to improve model convergence and avoid local minima *** 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 *** HBO’s optimization process,a logistic chaotic map is *** 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 ***,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.

关键词： Team formation problem optimization problem genetic algorithm heap-based optimizer simulated annealing hybridization method chaotic local search

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3-D bioprinting technologies in tissue engineering and regenerative medicine:Current and future trends

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Genes & Diseases 2017年第4期4卷 185-195页

作者： 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 Laboratory of Craniofacial Biology and Development Section of Plastic and Reconstructive SurgeryDepartment of SurgeryThe University of Chicago MedicineChicagoIL 60637USA Molecular Oncology Laboratory Department of Orthopedic Surgery and Rehabilitation MedicineThe University of Chicago Medical CenterChicagoIL 60637USA The University of Chicago Pritzker School of Medicine ChicagoIL 60637USA Biomedical Engineering Department Northwestern UniversityEvanstonIL 60208USA Department of Surgery Feinberg School of MedicineNorthwestern UniversityChicagoIL 60616USA

Advances in three-dimensional(3D)printing have increased feasibility towards the synthesis of living *** 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 *** successes have demonstrated distinct advantages over conventional tissue engineering *** surprisingly,there are current challenges to address before 3D bioprinting becomes clinically *** we provide an overview of 3D bioprinting technology and discuss key advances,clinical applications,and current *** 3D bioprinting is a relatively novel tissue engineering strategy,it holds great potential to play a key role in personalized medicine.

关键词： Additive manufacturing Bioprinting CAD/CAM 3D printing Tissue engineering

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Neural EGF-like protein 1(NELL-1):Signaling crosstalk in mesenchymal stem cells and applications in regenerative medicine

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Genes & Diseases 2017年第3期4卷 127-137页

作者： 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 The University of Chicago Pritzker School of MedicineChicagoIL 60637USA Laboratory of Craniofacial Biology and Development Section of Plastic and Reconstructive SurgeryDepartment of SurgeryThe University of Chicago Medical CenterChicagoIL 60637USA Rosalind Franklin University Chicago Medical SchoolNorth ChicagoIL 60064USA Molecular Oncology Laboratory Department of Orthopaedic Surgery and Rehabilitation MedicineThe University of Chicago Medical CenterChicagoIL 60637USA Department of Biomedical Engineering Northwestern UniversityEvanstonIL 60208USA Center for Advanced Regenerative Engineering Northwestern UniversityEvanstonIL 60208USA Department of Surgery Feinberg School of MedicineNorthwestern UniversityChicagoIL 60611USA

Bone tissue regeneration holds the potential to solve both osteoporosis and large skeletal defects,two problems associated with significant *** differentiation of mesenchymal stem cells into the osteogenic lineage requires a specific microenvironment and certain osteogenic growth *** 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 ***,it has been shown to repress adipogenic differentiation and ***-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 *** 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.

关键词： Bone tissue engineering Mesenchymal stem cells NELL-1 NEL-like protein 1 Osteogenic differentiation

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Relative(n,k)-Weak Cotorsion Modules

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Algebra Colloquium 2024年第3期31卷 481-498页

作者： mostafa Amini Houda Amzil Driss Bennis Department of Mathematics Faculty of SciencesPayame Noor UniversityTehranIran Department of Mathematics Faculty of Sciences EI Jadida Chouaib Doukkali UniversityMorocco Department of Mathematics Faculty of Sciences Mohammed V University in RabatMorocco

Let R be a ring and n,k be two non-negative *** an extension of several known notions,we introduce and study(n,k)-weak cotorsion modules using the class of right R-modules with n-weak fat dimensions at most *** exampl... 详细信息

关键词： (n,k)-weak cotorsion module n-weak injective module n-weak fat module n-super finitely presented module

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Experimental and numerical investigation of iron ore pellet firing using coupled CFD-DEM method

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PARTICUOLOGY 2024年第10期93卷 75-86页

作者： Amani, Hafez Alamdari, Eskandar Keshavarz Moraveji, mostafa Keshavarz Peters, Bernhard Amirkabir Univ Technol Sch Mat Engn & Adv Proc 424 Hafez Ave Tehran 158754413 Iran Univ Luxembourg Fac Sci Technol & Med Campus Kirchberg 6Rue Coudenhove Kalergi L-1359 Kirchberg Luxembourg

Iron ore pellets are the main feedstock in ironmaking processes. While extensive research has addressed numerical modeling of the iron ore pellet induration process, little effort has been made to describe the intricate thermochemical processes occurring within the reactor starting from the pellet and particularly at the intra-particle scale. In this regard, discrete-continuous methods like CFD-DEM can generate more realistic, irregular particle assemblies, which leads to significantly more accurate predictions of voidage variation, wall effects, temperature distribution, and associated mass transfer phenomena. This study presents a numerical model based on computational fluid dynamics (CFD) coupled with the discrete element method (DEM) to simulate the thermal induration process of iron ore pellets. The presented model solving heat, mass, and momentum conservation equations for both continuous and discrete phases, provides detailed information on the thermochemical aspects of the process. Pilot-scale induration experiment was conducted to validate model predictions in terms of thermal history and final conversion fraction. It was found that inlet charge specifications, such as particle and pellet size, significantly impact the productivity of pelletizing plants, highlighting the potential of the presented model to optimize the process and improve plant productivity. (c) 2024 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

关键词： CFD-DEM Heat and mass transfer Iron ore pellets Powder and pellet size Modeling INDURATION PROCESS MATHEMATICAL-MODEL HEAT-TRANSFER FLOW BED MAGNETITE MECHANISMS SIMULATION OXIDATION KILN

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Enhancing sustainability in phosphate ore processing:Performance of frying oil as alternative flotation collector for carbonate removal

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International Journal of Mining Science and Technology 2024年第4期34卷 557-571页

作者： Asmae El-bahi Yassine Taha Yassine Ait-Khouia Abdellatif Elghali mostafa Benzaazoua Geology&Sustainable Mining Institute(GSMI) Mohammed VI Polytechnic UniversityBen Guerir 43150Morocco

Recycling waste frying oils for the synthesis of flotation reagents presents a promising avenue for sustainable waste ***,it offers a cost-effective solution for crafting a specialized collector designed to efficiently remove carbonates and enhance phosphate enrichment in froth flotation *** study focuses on the synthesis of an anionic collector using the saponification reaction of a frying oil sample,subsequently applied to the flotation of calcite and *** elucidate the adsorption mechanisms of the frying oil collector(FrOC)and sodium oleate,a reference collector,on fluorapatite,calcite,dolomite,and quartz surfaces,comprehensive experiments were conducted,including zeta potential measurements and Fourier transform infrared *** revealed diverse adsorption affinities of the molecules towards these *** assess the practical performance of the collector,flotation tests were conducted using a natural phosphate ore mixture,employing a BoxBehnken experimental ***,under optimized conditions(pH 9,1000 g/t of FrOC,3.5 min of conditioning,and 6 min of flotation),FrOC exhibited excellent performance,with calcite and dolomite recoveries exceeding 80%,while apatite recovery in the concentrate fraction remained below 10%.This work exemplifies both circular economy practices and the distinctive approach to sustainable mineral processing.

关键词： Frying oils recycling Phosphate beneficiation Flotation separation Green surfactants Sustainability

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Er_(2)TiO_(5)@Ag nanocomposites:Enhanced photocatalysis and bacteria inactivation,and cytotoxicity

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Journal of Rare Earths 2024年第5期42卷 851-858,I0002页

作者： Mehdi Nazeri Hossein Sedaghat Reza Rafiei Mohammad Amin Farzin Seyed mostafa Hosseinpour Mashkani Department of Parasitology and Mycology Kashan University of Medical SciencesKashanIran Department of Microbiology Kashan University of Medical SciencesKashanIran General Medicine Student School of MedicineKashan University of Medical SciencesKashanIran Student Research Committee Kashan University of Medical SciencesKashanIran Institute for Biomedical Materials and Devices School of Mathematical and Physical SciencesFaculty of ScienceUniversity of Technology SydneyNSW2007Australia

In this study,we successfully synthesized Er_(2)TiO_(5)@Ag nanocomposites(NCPs) using the ultrasonicmediated sol-gel technique to create a multifunctional material with enhanced photocatalytic and antibacterial *** visible light photocatalytic activities of Er_(2)TiO_(5) nanoparticles(NPs) and Er_(2)TiO_(5)@Ag NCPs were systematically evaluated under various conditions,including different concentrations of Basic Blue 41(BB 41) dye and *** results reveal a remarkable improvement in the photocatalytic degradation efficiency of Er_(2)TiO_(5)@Ag NCPs(95%) compared to Er_(2)TiO_(5) NPs(80%).Furthermore,the antibacterial efficacy of Er_(2)TiO_(5) NPs and Er2TiO_5@Ag NCPs were extensively examined against Gram-positive and Gram-negative ***,Er_(2)TiO_(5)@Ag NCPs exhibit significantly higher minimum bactericidal concentration(MBC) values compared to Er_(2)TiO_(5) *** antibacterial effect of Er_(2)TiO_(5)@Ag NCPs is particularly pronounced against *** and Pseudomonas aeruginosa,while demonstrating moderate effects on Escherichia coli and Enterococcus *** assess the biocompatibility of the synthesized materials,we investigated their internalization by MCF-7 ***,both Er_(2)TiO_(5) NPs and Er_(2)TiO_(5)@Ag NCPs are found to be effectively internalized by the cells,suggesting their potential application in biomedical ***,our study unveils the exceptional potential of Er_(2)TiO_(5)@Ag NCPs as a dual-action solution,simultaneously possessing enhanced photocatalytic efficiency and potent antibacterial *** multifunctional nanocomposite not only outperforms Er_(2)TiO_(5) and Ag but also paves the way for innovative applications in sustainable environmental remediation and advanced biomedical technologies,promising a brighter and cleaner future.

关键词： Rare earth catalysis Nanocomposite Er_(2)TiO_(5)@Ag Antibacterial activity Photocatalysis Cytotoxicity

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Time-Series Embeddings from Language Models:A Tool for Wind Direction Nowcasting

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Journal of Meteorological Research 2024年第3期38卷 558-569页

作者： Decio ALVES Fabio MENDONCA Sheikh Shanawaz mostafa Fernando MORGADO-DIAS University of Madeira Campus Universitário da Penteada9020-105FunchalPortugal Interactive Technologies Institute/Laboratory for Robotics and Engineering Systems and Agência Regional para o Desenvolvimento da Investigação Tecnologia e InovaçãoEdif.Madeira TecnopoloCaminho da Penteada piso-29020-105FunchalPortugal

Wind direction nowcasting is crucial in various sectors,particularly for ensuring aviation operations and *** this context,the TELMo(Time-series Embeddings from Language Models)model,a sophisticated deep learning architecture,has been introduced in this work for enhanced wind-direction *** by using three years of data from multiple stations in the complex terrain of an international airport,TELMo incorporates the horizontal u(east-west)and v(north-south)wind components to significantly reduce forecasting *** a day with high wind direction variability,TELMo achieved mean absolute error values of 5.66 for 2-min,10.59 for 10-min,and 14.79 for 20-min forecasts,processed within a swift 9-ms/step *** degree-based analysis,in comparison,yielded lower performance,emphasizing the effectiveness of the u and v *** contrast,a Vanilla neural network,representing a shallow-learning approach,underperformed in all analyses,highlighting the superiority of deep learning methodologies in wind direction *** is an efficient model,capable of accurately forecasting wind direction for air traffic operations,with an error less than 20°in 97.49%of the predictions,aligning with recommended international *** model design enables its applicability across various geographical locations,making it a versatile tool in global aviation meteorology.

关键词： wind nowcasting wind components wind direction time series prediction deep learning

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Performance Assessment of a Real PV System Connected to a Low-Voltage Grid

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Energy Engineering 2024年第1期121卷 13-26页

作者： Gaber Magdy mostafa Metwally Adel A.Elbaset Esam Zaki Electrical Engineering Department Faculty of Energy EngineeringAswan UniversityAswanEgypt `2Faculty of Engineering King Salman International UniversityEl-Tor46511Egypt Electrical Engineering Department Faculty of EngineeringMinia UniversityMiniaEgypt Department of Electromechanics Engineering Faculty of EngineeringHeliopolis UniversityCairoEgypt Computer Department Faculty of EngineeringModern Academy of Engineering&TechnologyCairoEgypt

The generation of photovoltaic(PV)solar energy is increasing continuously because it is renewable,unlimited,and clean *** the past,generation systems depended on non-renewable sources such as oil,coal,and ***,this paper assesses the performance of a 51 kW PV solar power plant connected to a low-voltage grid to feed an administrative building in the 6th of October City,*** performance analysis of the considered grid-connected PV system is carried out using power system simulator for Engineering(PSS/E)*** the PSS/E program,monitors and uses the power analyzer that displays the parameters and measures some parameters such as current,voltage,total power,power factor,frequency,and current and voltage harmonics,the used inverter from the type of grid inverter for the considered *** results conclude that when the maximum solar radiation is reached,the maximum current can be obtained from the solar panels,thus obtaining the maximum power and power *** total voltage harmonic distortion,a current harmonic distortion within permissible limits using active harmonic distortion because this type is fast in processing up to 300 *** connection between solar stations and the national grid makes the system more efficient.

关键词： Low-voltage grid photovoltaic(PV)system total harmonic distortion grid-connected PV system

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eQUEST Based Building Energy Modeling Analysis for Energy Efficiency of Buildings

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Energy Engineering 2024年第10期121卷 2743-2767页

作者： Saroj Lamichhane Roseline mostafa Bhaskaran Gopalakrishnan Dayakar G.Devaru Regional Mechanical Field AmazonWeb ServicesHerndonVA 20170USA Industrial and Management Systems Engineering West Virginia UniversityMorgantownWV 26505USA Industrial and Production Engineering JSS Science&Technology UniversityMysuru570006India

Building energy performance is a function of numerous building *** this study,sensitivity analysis on twenty parameters is performed to determine the top three parameters that have the most significant impact on the energy performance of *** data from two fully operational commercial buildings were collected and used to develop a building energy model in the Quick Energy Simulation Tool(eQUEST).The model is calibrated using the Normalized Mean Bias Error(NMBE)and Coefficient of Variation of Root Mean Square Error(CV(RMSE))*** model satisfies the NMBE and CV(RMSE)criteria set by the American Society of Heating,Refrigeration,and Air-Conditioning(ASHRAE)Guideline 14,Federal Energy Management Program(FEMP),and International Performance Measurement and Verification Protocol(IPMVP)for building energy model *** values of the parameters are varied in two levels,and then the percentage change in output is *** factorial analysis on eight parameters with the highest percentage change in energy performance is performed at two levels in a statistical software *** building A,the top 3 parameters from the percentage change method are:Heating setpoint,cooling setpoint and server *** fractional factorial design,the top 3 parameters are:heating setpoint(p-value=0.00129),cooling setpoint(p-value=0.00133),and setback control(p-value=0.00317).For building B,the top 3 parameters from both methods are:Server room(pvalue=0.0000),heating setpoint(p-value=0.00014),and cooling setpoint(p-value=0.00035).If the best values for all top three parameters are taken simultaneously,energy efficiency improves by 29%for building A and 35%for building B.

关键词： Energy efficiency eQUEST energy consumption building energy modeling

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