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New Trends in the Modeling of Diseases Through computational techniques

Computer Systems Science & Engineering 2023年第6期45卷 2935-2951页

作者： Nesreen Althobaiti Ali Raza Arooj Nasir Jan Awrejcewicz Muhammad Rafiq Nauman Ahmed Witold Pawłowski Muhammad Jawaz Emad E.Mahmoud Department of Mathematics and Statistics College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Mathematics Govt.Maulana Zafar Ali Khan Graduate College WazirabadPunjab Higher Education Department(PHED)Lahore54000Pakistan Baqai Medical University Karachi75340Pakistan Shalamar Medical and Dental College Lahore54000Pakistan Department of Automation Biomechanics and MechatronicsLodz University of Technology1/15 Stefanowskiego St.90-924LodzPoland Department of Mathematics Faculty of Sciences and TechnologyUniversity of Central PunjabLahore54000Pakistan Department of Mathematics and Statistics University of LahoreLahore54590Pakistan Institute of Machine Tools and Production Engineering Lodz University of Technology1/15 Stefanowskiego St.90-537LodzPoland

The computational techniques are a set of novel problem-solving methodologies that have attracted wider attention for their excellent *** handling strategies of real-world problems are artificial neural networks(ANN),evolutionary computing(EC),and many *** estimated fifty thousand to ninety thousand new leishmaniasis cases occur annually,with only 25%to 45%reported to the World Health Organization(WHO).It remains one of the top parasitic diseases with outbreak and mortality *** 2020,more than ninety percent of new cases reported to World Health Organization(WHO)occurred in ten countries:Brazil,China,Ethiopia,Eritrea,India,Kenya,Somalia,South Sudan,Sudan,and *** transmission of visceral leishmaniasis is studied dynamically and *** study included positivity,boundedness,equilibria,reproduction number,and local stability of the model in the dynamical *** detailed methods like Runge Kutta and Euler depend on time steps and violate the physical relevance of the *** produce negative and unbounded results,so in disease dynamics,such developments have no biological significance;in other words,these results are *** the implicit nonstandard finite difference method does not depend on time step,positive,bounded,dynamic and *** the computational techniques and their results were compared using computer simulations.

关键词： Real-world problem differential equations computational techniques analysis

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Novel Time Series Bagging Based Hybrid Models for Predicting Historical Water Levels in the Mekong Delta Region, Vietnam

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Computer Modeling in Engineering & Sciences 2022年第6期131卷 1431-1449页

作者： Nguyen Thanh Hoan Nguyen Van Dung Ho Le Thu Hoa Thuy Quynh Nadhir Al-Ansari Tran Van Phong Phan Trong Trinh Dam Duc Nguyen Hiep Van Le Hanh Bich Thi Nguyen Mahdis Amiri Indra Prakash Binh Thai Pham Institute of Geography Vietnam Academy of Science and TechnologyHanoi10000Viet Nam Department of Civil Environmental and Natural Resources EngineeringLulea University of TechnologyLulea97187Sweden Institute of Geological Sciences Vietnam Academy of Science and Technology(VAST)Dong DaHanoi10000Viet Nam University of Transport Technology Thanh XuanHa Noi10000Viet Nam Department of Watershed&Arid Zone Management Gorgan University of Agricultural Sciences&Natural ResourcesGorgan***Iran DDG(R)Geological Survey of India Gandhinagar382010India

Water level predictions in the river,lake and delta play an important role in flood *** year Mekong River delta of Vietnam is experiencing flood due to heavy monsoon rains and high *** subsidence may also aggravate flooding problems in this ***,accurate predictions of water levels in this region are very important to forewarn the people and authorities for taking timely adequate remedial measures to prevent losses of life and *** are so many methods available to predict the water levels based on historical data but nowadays Machine Learning(ML)methods are considered the best tool for accurate *** this study,we have used surface water level data of 18 water level measurement stations of the Mekong River delta from 2000 to 2018 to build novel time-series Bagging based hybrid ML models namely:Bagging(RF),Bagging(SOM)and Bagging(M5P)to predict historical water levels in the study *** of the Bagging-based hybrid models were compared with Reduced Error Pruning Trees(REPT),which is a benchmark ML *** data of 19 years period was divided into 70:30 ratio for the *** data of the period 1/2000 to 5/2013(which is about 70%of total data)was used for the training and for the period 5/2013 to 12/2018(which is about 30%of total data)was used for testing(validating)the *** of the models was evaluated using standard statistical measures:Coefficient of Determination(R2),Root Mean Square Error(RMSE)and Mean Absolute Error(MAE).Results show that the performance of all the developed models is good(R2>0.9)for the prediction of water levels in the study ***,the Bagging-based hybrid models are slightly better than another model such as ***,these Bagging-based hybrid time series models can be used for predicting water levels at Mekong data.

关键词： computational techniques bagging water level time series algorithms

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Mechanically induced stiffening, thermally driven softening,and brittle nature of SiC

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Journal of Advanced Ceramics 2016年第1期5卷 13-34页

作者： Dinesh VARSHNEY Swarna SHRIYA Sanjay JAIN Meenu VARSHNEY R.KHENATA School of Physics Vigyan Bhavan Devi Ahilya University Khandwa Road Campus Indore 452001 India Department of Physics M.B.Khalsa College Indore 452002 India Laboratoire de Physique Quantique et de Modélisation Mathématique(LPQ3M) Département de TechnologieUniversité de Mascara Mascara 29000 Algeria

An effective interionic potential calculation with long range Coulomb, charge transfer interaction, covalency effect, short range overlap repulsion extended, van der Waals interaction, and zero point energy effect is implemented to investigate the pressure dependent structural phase transition (ZnS-type (B3) to NaCl-type (B1) structure), and mechanical, elastic, and thermodynamic properties of silicon carbide (SiC). Both charge transfer interaction and covalency effect are important in revealing the pressure induced structural stability, Cauchy discrepancy, anisotropy factor, melting temperature, shear modulus, Young’s modulus, and Grüneisen parameter. We also present the results for the temperature dependent behaviors of normalized volume, hardness, heat capacity, and thermal expansion coefficient. SiC is mechanically stiffened and thermally softened as inferred from pressure (temperature) dependent elastic constant’s behavior. The Pugh’s ratio ∅ = B T / G H, the Poisson’s ratio v, and the Cauchy’s pressure C 12–C 44 for SiC ceramic confirm its brittle nature.

关键词： carbide computational techniques phase transition equation of state

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Event-by-Event Simulation of the Hanbury Brown-Twiss Experiment with Coherent Light

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Communications in computational Physics 2010年第4期7卷 813-830页

作者： F.Jin H.De Raedt K.Michielsen Department of Applied Physics Zernike Institute for Advanced MaterialsUniversity of GroningenNijenborgh 4NL-9747 AG GroningenThe Netherlands Institute for Advanced Simulation Julich Supercomputing CentreResearch Centre JuelichD-52425 JuelichGermany

We present a computer simulation model for the Hanbury Brown-Twiss experiment that is entirely particle-based and reproduces the results of wave theory. Themodel is solely based on experimental facts, satisfies Einstein’s criterion of local causality and does not require knowledge of the solution of a wave equation. The simulationmodel is fully consistent with earlier work and provides another demonstration thatit is possible to give a particle-only description of wave phenomena, rendering theconcept of wave-particle duality superfluous.

关键词： computational techniques Hanbury Brown-Twiss effect light coherence light interference quantum theory

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Determining the Effective Refractive Index of AIGaAs-GaAs Slab Waveguide Based on Analytical and Finite Difference Method

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Journal of Physical Science and Application 2012年第9期2卷 381-385页

作者： All Cetin Ercan Ucgun M .Selami Kilickaya Eskisehir Osmangazi University Department of Physics 26480 Eskisehir Turkey Dumlupmar University Department of Physics 43260 Kutahya Turkey

Optical waveguide is the main element in integrated optics. Therefore many numerical methods are used on these elements of integrated optics. Simulation response of an optical slab waveguide used in integrated optics needs such numerical methods. These methods must be precise and useful in terms of memory capacity and time duration. In this paper, we study basic analytical and finite difference methods to determine the effective refractive index of AIGaAs-GaAs slab waveguide. Also, appropriate effective refractive index value is obtained with respect to number of grid points and number of matrix sizes. Finally, the validity of the obtained values by both methods is compared to using waveguide type.

关键词： Numerical approximation and analysis computational techniques simulations optical constants.

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