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Ternary Au-Ga-Sb system：calculation of thermodynamic properties using general solution model

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Rare Metals 2016年第3期35卷 262-268页

作者： Lidija Gomidzelovic Dragana.zivkovic Ljubisa Balanovic Dragan Manasijevic Mining and Metallurgy Institute 19210 Bor Serbia Technical Faculty University of Belgrade 19210 Bor Serbia

The calculated results of thermodynamic properties in ternary Au-Ga-Sb system by general solution model were presented in this *** calculations were carried out in nine cross sections from all three corners in the temperature range of 973–1,573 K,and integral molar excess Gibbs energies,partial molar Gibbs energies,activity coefficients and activities for all components are *** activity of gold and gallium shows negative deviation from Rault＇s law for all investigated sections,while antimony activity is close to the line of ideal conditions and even coincides with the line for high content of antimony in the *** obtained by calculation were compared with those found in *** is concluded that compared values show reasonable good agreement.

关键词： Alloy thermodynamics Calculation Au-Ga-Sb system General solution model

Cyberbullying Sexism Harassment Identification by Metaheurustics-Tuned eXtreme Gradient Boosting

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Computers, Materials & Continua 2024年第9期80卷 4997-5027页

作者： Milos Dobrojevic Luka Jovanovic Lepa Babic Miroslav Cajic Tamara.zivkovic Miodrag zivkovic Suresh Muthusamy Milos Antonijevic Nebojsa Bacanin Technical Faculty Singidunum UniversityBelgrade11000Serbia Informatics and Computing Singidunum UniversityBelgrade11000Serbia Business Economics Singidunum UniversityBelgrade11000Serbia Computing and Informatics Sinergija UniversityBijeljina76300Bosnia and Herzegovina Department for Information Systems and Technologies University“Union Nikola Tesla”Cara DusanaBelgrade11080Serbia Department for Computer Science and Informatics School of Electrical EngineeringUniversity of BelgradeBelgrade11000Serbia Department of Electrical and Electronics Engineering Kongu Engineering College(Autonomous)PerunduraiErode638060India Department of Mathematics Saveetha School of Engineering(Deemed to be University)SIMATS ThandalamChennai602105India MEU Research Unit Middle East UniversityAmman11831Jordan

Cyberbullying is a form of harassment or bullying that takes place online or through digital devices like smartphones,computers,or *** can occur through various channels,such as social media,text messages,online forums,or gaming *** involves using technology to intentionally harm,harass,or intimidate others and may take different forms,including exclusion,doxing,impersonation,harassment,and ***,due to the rapid growth of malicious internet users,this social phenomenon is becoming more frequent,and there is a huge need to address this ***,the main goal of the research proposed in this manuscript is to tackle this emerging challenge.A dataset of sexist harassment on Twitter,containing tweets about the harassment of people on a sexual basis,for natural language processing(NLP),is used for this *** algorithms are used to transform the text into a meaningful representation of numbers for machine learning(ML)input:Term frequency inverse document frequency(TF-IDF)and Bidirectional encoder representations from transformers(BERT).The well-known eXtreme gradient boosting(XGBoost)ML model is employed to classify whether certain tweets fall into the category of sexual-based harassment or ***,with the goal of reaching better performance,several XGBoost models were devised conducting hyperparameter tuning by *** this purpose,the recently emerging Coyote optimization algorithm(COA)was modified and adjusted to optimize the XGBoost ***,other cutting-edge metaheuristics approach for this challenge were also implemented,and rigid comparative analysis of the captured classification metrics(accuracy,Cohen kappa score,precision,recall,and F1-score)was ***,the best-generated model was interpreted by Shapley additive explanations(SHAP),and useful insights were gained about the behavioral patterns of people who perform social harassment.

关键词： Coyote optimization algorithm NLP TF-IDF BERT XGBoost online harassment and cyberbullying metaheuristics

Relationship between mass discharge rate and granular temperature of silo flow with variance of outlets

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Particuology 2022年第4期20卷 76-82页

作者： Quan Chen Ran Li Wengzheng Xiu Vladimir zivkovic Hui Yang School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai 200093China School of Engineering.Newcastle University NE17RUUnited Kingdom

A lower granular temperature zone near the orifice in silos was found by speckle visibility spectroscopy ***,the values of granular temperature in this area are inversely proportional to the mass discharge rate(MDR).This finding that links the macroscopic MDR with mesoscopic dynamics temperature of the particle system,is obtained by looking at the effect that different outlet sizes of silos on MDR and granular temperature *** from evidencing the relevance of a parameter that has been traditionally overlooked in silos,this relationship supposes a benchmark with which to explore the influence of small orifice sizes on *** these,we found that the frequency of intermittent clogging and their dependence on the size of the outlet.

关键词： Silos Granular flow Granular temperature Mass discharge rate

Improved spatial filtering velocimetry and its application in granular flow measurement

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Chinese Physics B 2020年第7期29卷 300-307页

作者： Ping Kong Bi-De Wang Peng Wang zivkovic V Jian-Qing Zhang Shanghai Key Laboratory for Molecular Imaging Shanghai University of Medicine and Health SciencesShanghai 201318China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Medical Instrument and Food Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Chemical Engineering and Advanced Materials Newcastle UniversityNE17RUUnited Kingdom College of Medical Imaging Shanghai University of Medicine and Health SciencesShanghai 201318China

Spatial filtering velocimetry(SFV)has the advantages of simple structure,good stability,and wide ***,the traditional linear CCD-based SFV method requires an accurate angle between the direction of linear CCD and the direction of moving object,so it is not suitable for measuring a complex flow field or two-dimensional speed in a granular *** this paper,a new extension of spatial filtering method(SFM)based on high speed array CCD camera is proposed as simple and effective technique for measuring two-dimensional speed field of granular *** particular,we analyzed the resolution and range of array CCD-based SFV so that the reader can clarify the application scene of this *** method has a particular advantage for using orthogonal measurement to avoid the angle measurement,which were problematic when using linear CCD to measure the ***,the end-wall effects of the granular flow in rotating drum is studied with different experimental conditions by using this improved technique.

关键词： spatial filtering velocimetry array CCD end-wall effects resolution

Prediction of segregation characterization based on granular velocity and concentration in rotating drum

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Particuology 2023年第2期73卷 17-25页

作者： Wenzheng Xiu Ra Li Quan Chen Qicheng Sun Vladimir zivkovic Hui Yang School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai200093China School of Medical Instrument and Food Engineering University of Shanghai for Science and TechnologyShanghai200093China State Key Laboratory of Hydroscience and Engineering Tsinghua UniversityBeijing100084China School of Engineering Newcastle UniversityNE17RUUnited Kingdom

In a binary granular system composed of two types of particles with different granule sizes and the same density,particle sorting occurs easily during the flow *** segregation pattern structure is mainly affected by the granular velocity and granular concentration in the flow *** paper reports on the experimental velocity and concentration measurement results for spherical particles in a quasi-two-dimensional rotating *** relationship between the granular velocity along the depth direction of the flow layer and granular concentration was established to characterize structures with different degrees of *** corresponding relationships between the granular velocity and concentration and the segregation pattern were further analyzed to improve the theoretical models of segregation(convection-diffusion model and continuous flow model)and provide a reference for granular segregation control in the production process.

关键词： Granular segregation Rotating drum Granular velocity Granular concentration

A Chaotic Oppositional Whale Optimisation Algorithm with Firefly Search for Medical Diagnostics

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Computers, Materials & Continua 2022年第7期72卷 959-982页

作者： Milan Tair Nebojsa Bacanin Miodrag zivkovic K.Venkatachalam Singidunum University 32 Danijelova Str.11010BelgradeSerbia Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec Králové50003Hradec KrálovéCzech Republic

There is a growing interest in the study development of artificial intelligence and machine learning,especially regarding the support vector machine pattern classification *** study proposes an enhanced implementation of the well-known whale optimisation algorithm,which combines chaotic and opposition-based learning strategies,which is adopted for hyper-parameter optimisation and feature selection machine learning *** whale optimisation algorithm is a relatively recent addition to the group of swarm intelligence algorithms commonly used for *** Proposed improved whale optimisation algorithm was first tested for standard unconstrained CEC2017 benchmark suite and it was later adapted for simultaneous feature selection and support vector machine hyper-parameter tuning and validated for medical diagnostics by using breast cancer,diabetes,and erythemato-squamous *** performance of the proposed model is compared with multiple competitive support vector machine models boosted with other metaheuristics,including another improved whale optimisation approach,particle swarm optimisation algorithm,bacterial foraging optimisation algorithms,and genetic *** of the simulation show that the proposed model outperforms other competitors concerning the performance of classification and the selected subset feature size.

关键词： Whale optimisation algorithm chaotic initialisation oppositionbased learning optimisation diagnostics

Translation and rotation of particles in different flow pattern areas of a silo

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Particuology 2023年第2期73卷 68-77页

作者： Ran Li Quan Chen Hongze Li Wenzheng Xiu Vladimir zivkovic Hui Yang School of Medical Instrument and Food Engineering University of Shanghai for Science and TechnologyShanghai200093China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai200093China School of Engineering Newcastle UniversityNE17RUUnited Kingdom

The present paper reports the results obtained for translational and rotational velocity profiles of spherical particles for the mixed flow in a conical *** discrete element method(DEM)based on Hertz-Mindlin(no slip)with RVD rolling friction contact model is used for *** correlations are found between translational and rotational velocities in different flow areas of the *** particular,the abrasion caused by rotation is dominant in the funnel flow *** addition,increase of the mass flow rate of silo can effectively reduce the abrasion induced by *** highlights that understanding of dynamic characteristics of particles is helpful for optimization of silos and reduction of granular material abrasion.

关键词： Translational velocity Rotational velocity Rolling contribution rate Mass flow index

Training Multi-Layer Perceptron with Enhanced Brain Storm Optimization Metaheuristics

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Computers, Materials & Continua 2022年第2期70卷 4199-4215页

作者： Nebojsa Bacanin Khaled Alhazmi Miodrag zivkovic K.Venkatachalam Timea Bezdan Jamel Nebhen Singidunum University Danijelova11000BelgradeSerbia National Center for Robotics and IoT Communication and Information Technology Research InstituteKing Abdulaziz City for Science and Technology(KACST)Riyadh12371Saudi Arabia Department of Computer Science and Engineering CHRIST(Deemed to be University)Bangalore560074India Prince Sattam Bin Abdulaziz University College of Computer Engineering and SciencesAlkharj11942Saudi Arabia

In the domain of artificial neural networks,the learning process represents one of the most challenging *** the classification accuracy highly depends on theweights and biases,it is crucial to find its optimal or suboptimal values for the problem at ***,to a very large search space,it is very difficult to find the proper values of connection weights and *** traditional optimization algorithms for this issue leads to slow convergence and it is prone to get stuck in the local *** commonly,back-propagation is used formulti-layer-perceptron training and it can lead to vanishing gradient *** an alternative approach,stochastic optimization algorithms,such as nature-inspired metaheuristics are more reliable for complex optimization tax,such as finding the proper values of weights and biases for neural network *** thiswork,we propose an enhanced brain storm optimization-based algorithm for training neural *** the simulations,ten binary classification benchmark datasets with different difficulty levels are used to evaluate the efficiency of the proposed enhanced brain storm optimization *** results show that the proposed approach is very promising in this domain and it achieved better results than other state-of-theart approaches on the majority of datasets in terms of classification accuracy and convergence speed,due to the capability of balancing the intensification and diversification and avoiding the local *** proposed approach obtained the best accuracy on eight out of ten observed dataset,outperforming all other algorithms by 1-2%on *** mean accuracy is observed,the proposed algorithm dominated on nine out of ten datasets.

关键词： Artificial neural network optimization metaheuristics algorithm hybridization brain storm optimization

Allergen specifi c sublingual immunotherapy in children with asthma and allergic rhinitis

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World Journal of Pediatrics 2016年第3期12卷 283-290页

作者： Ivana Duric-Filipovic Marco Caminati Gordana Kostic Dorde Filipovic Zorica.zivkovic Faculty of Medical Science Kragujevac Department of ImmunologySvetozara Markovica 6934000 KragujevacSerbia Unita di Allergologia Centro Regionale di riferimento per la prevenzione la diagnosi e la terapia delle malattie allergiche Ospedale Universitario Borgo TrentoPiazzale Stefani 1VeronaItaly Children's Hospital Clinical Centre KragujevacZmaj Jovina 3034000 KragujevacSerbia Institution for Emergency Medical Care Bulevar Fransa Depera 511000 BelgradeSerbia Children's Hospital for Lung Diseases and Tuberculosis Medical Center"Dr Dragisa Misovic"Heroja Mihajla Tepica 111000 BelgradeSerbia

Background:The incidence of asthma and allergic rhinitis(AR)is significantly increased,especially in younger *** treatment for children with asthma and allergic rhinitis include allergen avoidance,standard pharmacotherapy,and *** standard pharmacotherapy is prescribed for symptoms,immunotherapy at present plays an important role in the treatment of allergic *** article presents insights into the up-to-date understanding of immunotherapy in the treatment of children with allergic rhinitis and *** sources:PubMed articles published from 1990 to 2014 were reviewed using the MeSH terms"asthma","allergic rhinitis","children",and"immune therapy".Additional articles were identified by hand searching of the references in the initial ***:Numerous studies have shown that sublingual application of allergen specifi c immunotherapy(SLIT)is an adequate,safe and effi cient substitution to subcutaneous route of allergens administration(SCIT)in the treatment of IgE-mediated respiratory tract allergies in *** to the literature,better clinical efficacy is connected with the duration of treatment and mono sensitized ***:At least 3 years of treatment and stable asthma before the immunotherapy are positive predictors of good clinical efficacy and tolerability of *** reduces the symptoms of allergic diseases and the use of medicaments,and improves the quality of life of children with the diseases.

关键词： allergic asthma allergic rhinitis allergic sensitization immunotherapy