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Artykuły w czasopismach na temat „GEP EQUATION”

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Data publikacji: 11 września 2023

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1

Salmasi, Farzin, and John Abraham. "Discharge coefficients for ogee weirs including the effects of a sloping upstream face." Water Supply 20, no. 4 (2020): 1493–508. http://dx.doi.org/10.2166/ws.2020.064.

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Abstract Discharge coefficients (C0) for ogee weirs are essential factors for predicting the discharge-head relationship. The present study investigates three influences on the C0: effect of approach depth, weir upstream face slope, and the actual head, which may differ from the design head. This study uses experimental data with multiple non-linear regression techniques and Gene Expression Programming (GEP) models that are applied to introduce practical equations that can be used for design. Results show that the GEP method is superior to the regression analysis for predicting the discharge c
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Wang, Leizhi, Qingfang Hu, Yintang Wang, Yong Liu, Lingjie Li, and Tingting Cui. "Regional Calibration of Hargreaves Equation in the Xiliaohe Basin." Journal of Geoscience and Environment Protection 04, no. 07 (2016): 28–36. http://dx.doi.org/10.4236/gep.2016.47004.

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Jiang, Huanjun, Ahmed Salih Mohammed, Reza Andasht Kazeroon, and Payam Sarir. "Use of the Gene-Expression Programming Equation and FEM for the High-Strength CFST Columns." Applied Sciences 11, no. 21 (2021): 10468. http://dx.doi.org/10.3390/app112110468.

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The ultimate strength of composite columns is a significant factor for engineers and, therefore, finding a trustworthy and quick method to predict it with a good accuracy is very important. In the previous studies, the gene expression programming (GEP), as a new methodology, was trained and tested for a number of concrete-filled steel tube (CFST) samples and a GEP-based equation was proposed to estimate the ultimate bearing capacity of the CFST columns. In this study, however, the equation is considered to be validated for its results, and to ensure it is clearly capable of predicting the ulti
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Onen, Fevzi. "GEP PREDICTION OF SCOUR AROUND A SIDE WEIR IN CURVED CHANNEL." JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT 22, no. 3 (2014): 161–70. http://dx.doi.org/10.3846/16486897.2013.865632.

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Side-weirs have been widely used in hydraulic and environmental engineering applications. Side-weir is known as a lateral intake structure, which are significant parts of the distribution channel in irrigation, land drainage, and urban sewerage system, by flow diversion device. Local scour involves the removal of material around piers, abutments, side-weir, spurs, and embankments. Clearwater scour depth based on five dimensional parameters: approach flow velocity (V1/Vc), water head ratio (h1–p)/h1, side-weir length (L/r), side-weir crest height (b/p) and angle of bend θ. The aim of this study
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Azaiez, Naima. "Improved Modelling of Soil Loss in El Badalah Basin: Comparing the Performance of the Universal Soil Loss Equation, Revised Universal Soil Loss Equation and Modified Universal Soil Loss Equation Models by Using the Magnetic and Gravimetric Prospection Outcomes." Journal of Geoscience and Environment Protection 09, no. 04 (2021): 50–73. http://dx.doi.org/10.4236/gep.2021.94005.

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6

Ashteyat, Ahmed, Yasmeen T. Obaidat, Yasmin Z. Murad, and Rami Haddad. "COMPRESSIVE STRENGTH PREDICTION OF LIGHTWEIGHT SHORT COLUMNS AT ELEVATED TEMPERATURE USING GENE EXPRESSION PROGRAMING AND ARTIFICIAL NEURAL NETWORK." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 26, no. 2 (2020): 189–99. http://dx.doi.org/10.3846/jcem.2020.11931.

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The experimental behavior of reinforced concrete elements exposed to fire is limited in the literature. Although there are few experimental programs that investigate the behavior of lightweight short columns, there is still a lack of formulation that can accurately predict their ultimate load at elevated temperature. Thus, new equations are proposed in this study to predict the compressive strength of the lightweight short column using Gene Expression Programming (GEP) and Artificial neural networks (ANN). A total of 83 data set is used to establish GEP and ANN models where 70% of the data are
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7

., Hoang Nguyen, Nam Xuan Bui ., Hieu Quang Tran ., and Giang Huong Thi Le. "A novel soft computing model for predicting blast - induced ground vibration in open - pit mines using gene expression programming." Journal of Mining and Earth Sciences 61, no. 5 (2020): 107–16. http://dx.doi.org/10.46326/jmes.ktlt2020.09.

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The efforts of this study are to develop and propose a state - of - the - art model for predicting blast - induced ground vibration in open - pit mines with high accuracy anf ability based on the gene expression programming (GEP) technique. 25 blasts were conducted in the Tan Dong Hiep quarry mines with a total of 83 blasting events that were collected for this study. The GEP method was then applied to develop a non - linear equation for predicting blast - induced ground vibration based on a variety of influential parameters. A traditional empirical equation, namely Sadovski, was also applied
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8

Hajihassani, Mohsen, Shahrum Shah Abdullah, Panagiotis G. Asteris, and Danial Jahed Armaghani. "A Gene Expression Programming Model for Predicting Tunnel Convergence." Applied Sciences 9, no. 21 (2019): 4650. http://dx.doi.org/10.3390/app9214650.

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Underground spaces have become increasingly important in recent decades in metropolises. In this regard, the demand for the use of underground spaces and, consequently, the excavation of these spaces has increased significantly. Excavation of an underground space is accompanied by risks and many uncertainties. Tunnel convergence, as the tendency for reduction of the excavated area due to change in the initial stresses, is frequently observed, in order to monitor the safety of construction and to evaluate the design and performance of the tunnel. This paper presents a model/equation obtained by
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9

Al-Aboodi, Ali H. "ESTIMATION OF MONTHLY MEAN REFERENCE EVAPOTRANSPIRATION USING GENE EXPRESSION PROGRAMMING." Kufa Journal of Engineering 8, no. 1 (2017): 37–50. http://dx.doi.org/10.30572/2018/kje/811189.

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Evapotranspiration is a main component of the water cycle and is important in crop growth. Monthly mean reference evapotranspiration (ETo) is estimated using gene expression programming (GEP) in Basrah City, south of Iraq. Various climatic data, such as air temperature, relative humidity, and wind speed are used as inputs of GEP model to estimate the values of reference evapotranspiration (ETo) given by the FAO-56 (Penman-Monteith equation). Nine input combinations tested with GEP are coded as model No. (1-9). Root relative squared error (RRSE) is taken as fitness function in each of GEP model
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10

Mutakela, Patrick S., Joyce P. Lepetu, Gofaone Rammotokara, Melusi Rampart, and Sarah Assem Ibrahim. "Biomass Prediction Equation for <i>Colophospermum mopane</i> (Mopane) in Botswana." Journal of Geoscience and Environment Protection 11, no. 06 (2023): 1–22. http://dx.doi.org/10.4236/gep.2023.116001.

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11

Chakrabarty, A., and S. N. Yakovenko. "Data-driven turbulence modelling using symbolic regression." Journal of Physics: Conference Series 2099, no. 1 (2021): 012020. http://dx.doi.org/10.1088/1742-6596/2099/1/012020.

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Abstract The study is focused on the performance of machine-learning methods applied to improve the velocity field predictions in canonical turbulent flows by the Reynolds-averaged Navier–Stokes (RANS) equation models. A key issue here is to approximate the unknown term of the Reynolds stress (RS) tensor needed to close the RANS equations. A turbulent channel flow with the curved backward-facing step on the bottom has the high-fidelity LES data set. It is chosen as the test case to examine possibilities of GEP (gene expression programming) of formulating the enhanced RANS approximations. Such
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12

Ali Khan, Mohsin Ali, Adeel Zafar, Arslan Akbar, Muhammad Faisal Javed, and Amir Mosavi. "Application of Gene Expression Programming (GEP) for the Prediction of Compressive Strength of Geopolymer Concrete." Materials 14, no. 5 (2021): 1106. http://dx.doi.org/10.3390/ma14051106.

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For the production of geopolymer concrete (GPC), fly-ash (FA) like waste material has been effectively utilized by various researchers. In this paper, the soft computing techniques known as gene expression programming (GEP) are executed to deliver an empirical equation to estimate the compressive strength fc′ of GPC made by employing FA. To build a model, a consistent, extensive and reliable data base is compiled through a detailed review of the published research. The compiled data set is comprised of 298 fc′ experimental results. The utmost dominant parameters are counted as explanatory vari
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13

Shah, Kunjan, and Twinkle Singh. "A Solution of the Burger’s Equation Arising in the Longitudinal Dispersion Phenomenon in Fluid Flow through Porous Media by Mixture of New Integral Transform and Homotopy Perturbation Method." Journal of Geoscience and Environment Protection 03, no. 04 (2015): 24–30. http://dx.doi.org/10.4236/gep.2015.34004.

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14

Mozaffari, Sevda, Erfan Amini, Hossein Mehdipour, and Mehdi Neshat. "Flow Discharge Prediction Study Using a CFD-Based Numerical Model and Gene Expression Programming." Water 14, no. 4 (2022): 650. http://dx.doi.org/10.3390/w14040650.

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The significance of spillways is to allow the flood to be safely discharged from downstream. There is a strong correlation between the poor design of spillways and the failures of dams. In order to address this concern, the present study investigates the flow over the Nazloo-ogee spillway using the CFD 3D numerical model and an artificial intelligence method called Gene Expression Programming (GEP). In a physical model, discharge and flow depths were calculated for 21 different total heads. Among different turbulence models, the RNG turbulence model achieved the maximum compatibility in comput
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15

Akin, Oluwatobi O., Amana Ocholi, Olugbenga S. Abejide, and Johnson A. Obari. "Prediction of the Compressive Strength of Concrete Admixed with Metakaolin Using Gene Expression Programming." Advances in Civil Engineering 2020 (November 3, 2020): 1–7. http://dx.doi.org/10.1155/2020/8883412.

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One of the problems of optimization of concrete is to formulate a mathematical equation that shows the relationship between the various constituents of concrete and its properties. In this work, modelling of the compressive strength of concrete admixed with metakaolin was carried out using the Gene Expression Programming (GEP) algorithm. The dataset from laboratory experimentation was used for the analysis. The mixture proportions were made of three different water/binder ratios (0.4, 0.5, and 0.6), and the grades of concrete produced were grade M15 and M20. The compressive strength of the con
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16

Moghassem, Abdolrasool, Alireza Fallahpour, and Mohsen Shanbeh. "An Intelligent Model to Predict Breaking Strength of Rotor Spun Yarns Using Gene Expression Programming." Journal of Engineered Fibers and Fabrics 7, no. 2 (2012): 155892501200700. http://dx.doi.org/10.1177/155892501200700202.

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Exploring relationships between characteristics of a yarn and influencing factors is momentous subject to optimize the selection of the variables. Different modelling methodologies have been used to predict spun yarn properties. Developing a prediction approach with higher degree of precision is a subject that has received attention by the researchers. In the last decade, Artificial Neural Network (ANN) has been developed successfully for textile nonlinear processes. In spite of the precision, ANN is a black box and does not indicate inter-relationship between input and output parameters. Henc
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17

SHAHRARA, Neda, Tahir ÇELIK, and Amir H. GANDOMI. "GENE EXPRESSION PROGRAMMING APPROACH TO COST ESTIMATION FORMULATION FOR UTILITY PROJECTS." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 23, no. 1 (2017): 85–95. http://dx.doi.org/10.3846/13923730.2016.1210214.

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This article utilizes gene expression programming (GEP) technique to develop a prediction model in order to automate estimating the construction cost of water and sewer replacement/rehabilitation projects. A database gathered for developing the model was established on the basis of data related to 210 actual water and sewer projects obtained from the City of San Diego, California, USA. To verify the predictability of the GEP model, it was examined to estimate the cost of the projects that were not included in the modelling process. Sensitivity analysis technique and professional experiences we
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18

Khan, Sangeen, Mohsin Ali Khan, Adeel Zafar, et al. "Predicting the Ultimate Axial Capacity of Uniaxially Loaded CFST Columns Using Multiphysics Artificial Intelligence." Materials 15, no. 1 (2021): 39. http://dx.doi.org/10.3390/ma15010039.

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The object of this research is concrete-filled steel tubes (CFST). The article aimed to develop a prediction Multiphysics model for the circular CFST column by using the Artificial Neural Network (ANN), the Adaptive Neuro-Fuzzy Inference System (ANFIS) and the Gene Expression Program (GEP). The database for this study contains 1667 datapoints in which 702 are short CFST columns and 965 are long CFST columns. The input parameters are the geometric dimensions of the structural elements of the column and the mechanical properties of materials. The target parameters are the bearing capacity of col
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19

Amin, Muhammad Nasir, Izaz Ahmad, Mudassir Iqbal, et al. "Computational AI Models for Investigating the Radiation Shielding Potential of High-Density Concrete." Materials 15, no. 13 (2022): 4573. http://dx.doi.org/10.3390/ma15134573.

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Concrete is an economical and efficient material for attenuating radiation. The potential of concrete in attenuating radiation is attributed to its density, which in turn depends on the mix design of concrete. This paper presents the findings of a study conducted to evaluate the radiation attenuation with varying water-cement ratio (w/c), thickness, density, and compressive strength of concrete. Three different types of concrete, i.e., normal concrete, barite, and magnetite containing concrete, were prepared to investigate this study. The radiation attenuation was calculated by studying the do
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20

Javed, Muhammad Faisal, Furqan Farooq, Shazim Ali Memon, et al. "New Prediction Model for the Ultimate Axial Capacity of Concrete-Filled Steel Tubes: An Evolutionary Approach." Crystals 10, no. 9 (2020): 741. http://dx.doi.org/10.3390/cryst10090741.

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The complication linked with the prediction of the ultimate capacity of concrete-filled steel tubes (CFST) short circular columns reveals a need for conducting an in-depth structural behavioral analyses of this member subjected to axial-load only. The distinguishing feature of gene expression programming (GEP) has been utilized for establishing a prediction model for the axial behavior of long CFST. The proposed equation correlates the ultimate axial capacity of long circular CFST with depth, thickness, yield strength of steel, the compressive strength of concrete and the length of the CFST, w
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21

Muhammad, Mohd Khairul Idlan, Shamsuddin Shahid, Mohammed Magdy Hamed, Sobri Harun, Tarmizi Ismail, and Xiaojun Wang. "Development of a Temperature-Based Model Using Machine Learning Algorithms for the Projection of Evapotranspiration of Peninsular Malaysia." Water 14, no. 18 (2022): 2858. http://dx.doi.org/10.3390/w14182858.

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Reliable projections of evapotranspiration (ET) are important for agricultural and water resources development, planning, and management. However, ET projections using well established empirical models suffer from uncertainty due to their dependency on many climatic variables. This study aimed to develop temperature-based empirical ET models using Gene Expression Programming (GEP) for the reliable estimation and projection of ET in peninsular Malaysia within the context of global warming. The efficiency of the GEP-generated equation was compared to the existing methods. Finally, the GEP ET for
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Ramesh, A., M. Hajihassani, and A. Rashiddel. "Ground Movements Prediction in Shield-Driven Tunnels using Gene Expression Programming." Open Construction & Building Technology Journal 14, no. 1 (2020): 286–97. http://dx.doi.org/10.2174/1874836802014010286.

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Introduction: The increase in population and traffic in metropolitan areas has led to the development of underground transportation spaces. Therefore, the estimation of the surface settlement caused by the construction of underground structures should be accurately considered. Several methods have been developed to predict tunneling-induced surface settlement. Among these methods, artificial intelligence-based methods have received much attention in recent years. This paper is aimed to develop a model based on Gene Expression Programming (GEP) algorithm to predict surface settlement induced by
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23

Mohammadrezapour, Omolbani, Jamshid Piri, and Ozgur Kisi. "Comparison of SVM, ANFIS and GEP in modeling monthly potential evapotranspiration in an arid region (Case study: Sistan and Baluchestan Province, Iran)." Water Supply 19, no. 2 (2018): 392–403. http://dx.doi.org/10.2166/ws.2018.084.

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Abstract Evapotranspiration is an important component in planning and management of water resources. It depends on climatic factors and the influence of these factors on each other makes evapotranspiration estimation difficult. This study attempts to explore the possibility of predicting this important component using three different heuristic methods: support vector machine (SVM), adaptive neuro-fuzzy inference system (ANFIS) and gene expression programming (GEP). In this regard, according to the Food and Agriculture Organization of the United Nations (FAO) Penman-Monteith equation, the month
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24

Bonakdari, Hossein, Azadeh Gholami, Amir Mosavi, Amin Kazemian-Kale-Kale, Isa Ebtehaj, and Amir Hossein Azimi. "A Novel Comprehensive Evaluation Method for Estimating the Bank Profile Shape and Dimensions of Stable Channels Using the Maximum Entropy Principle." Entropy 22, no. 11 (2020): 1218. http://dx.doi.org/10.3390/e22111218.

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This paper presents an extensive and practical study of the estimation of stable channel bank shape and dimensions using the maximum entropy principle. The transverse slope (St) distribution of threshold channel bank cross-sections satisfies the properties of the probability space. The entropy of St is subject to two constraint conditions, and the principle of maximum entropy must be applied to find the least biased probability distribution. Accordingly, the Lagrange multiplier (λ) as a critical parameter in the entropy equation is calculated numerically based on the maximum entropy principle.
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25

Khan, Mohsin Ali, Furqan Farooq, Mohammad Faisal Javed, et al. "Simulation of Depth of Wear of Eco-Friendly Concrete Using Machine Learning Based Computational Approaches." Materials 15, no. 1 (2021): 58. http://dx.doi.org/10.3390/ma15010058.

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To avoid time-consuming, costly, and laborious experimental tests that require skilled personnel, an effort has been made to formulate the depth of wear of fly-ash concrete using a comparative study of machine learning techniques, namely random forest regression (RFR) and gene expression programming (GEP). A widespread database comprising 216 experimental records was constructed from available research. The database includes depth of wear as a response parameter and nine different explanatory variables, i.e., cement content, fly ash, water content, fine and coarse aggregate, plasticizer, air-e
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26

Khan, Mohsin Ali, Shazim Ali Memon, Furqan Farooq, Muhammad Faisal Javed, Fahid Aslam, and Rayed Alyousef. "Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest." Advances in Civil Engineering 2021 (January 28, 2021): 1–17. http://dx.doi.org/10.1155/2021/6618407.

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Fly ash (FA) is a residual from thermal industries that has been effectively utilized in the production of FA-based geopolymer concrete (FGPC). To avoid time-consuming and costly experimental procedures, soft computing techniques, namely, random forest regression (RFR) and gene expression programming (GEP), are used in this study to develop an empirical model for the prediction of compressive strength of FGPC. A widespread, reliable, and consistent database of compressive strength of FGPC is set up via a comprehensive literature review. The database consists of 298 compressive strength data po
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27

Amin, Muhammad Nasir, Izaz Ahmad, Asim Abbas, et al. "Estimating Radiation Shielding of Fired Clay Bricks Using ANN and GEP Approaches." Materials 15, no. 17 (2022): 5908. http://dx.doi.org/10.3390/ma15175908.

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This study aimed to determine how radiation attenuation would change when the thickness, density, and compressive strength of clay bricks, modified with partial replacement of clay by fly ash, iron slag, and wood ash. To conduct this investigation, four distinct types of bricks—normal, fly ash-, iron slag-, and wood ash-incorporated bricks were prepared by replacing clay content with their variable percentages. Additionally, models for predicting the radiation-shielding ability of bricks were created using gene expression programming (GEP) and artificial neural networks (ANN). The addition of
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28

Achite, Mohammed, Muhammad Jehanzaib, Mohammad Taghi Sattari, et al. "Modern Techniques to Modeling Reference Evapotranspiration in a Semiarid Area Based on ANN and GEP Models." Water 14, no. 8 (2022): 1210. http://dx.doi.org/10.3390/w14081210.

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Evapotranspiration (ET) is a significant aspect of the hydrologic cycle, notably in irrigated agriculture. Direct approaches for estimating reference evapotranspiration (ET0) are either difficult or need a large number of inputs that are not always available from meteorological stations. Over a 6-year period (2006–2011), this study compares Feed Forward Neural Network (FFNN), Radial Basis Function Neural Network (RBFNN), and Gene Expression Programming (GEP) machine learning approaches for estimating daily ET0 in a meteorological station in the Lower Cheliff Plain, northwest Algeria. ET0 was e
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29

Ouaer, Hocine, Amir Hossein Hosseini, Menad Nait Amar, et al. "Rigorous Connectionist Models to Predict Carbon Dioxide Solubility in Various Ionic Liquids." Applied Sciences 10, no. 1 (2019): 304. http://dx.doi.org/10.3390/app10010304.

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Estimating the solubility of carbon dioxide in ionic liquids, using reliable models, is of paramount importance from both environmental and economic points of view. In this regard, the current research aims at evaluating the performance of two data-driven techniques, namely multilayer perceptron (MLP) and gene expression programming (GEP), for predicting the solubility of carbon dioxide (CO2) in ionic liquids (ILs) as the function of pressure, temperature, and four thermodynamical parameters of the ionic liquid. To develop the above techniques, 744 experimental data points derived from the lit
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30

Najafzadeh, Mohammad, Mohammad Rezaie Balf, and Esmat Rashedi. "Prediction of maximum scour depth around piers with debris accumulation using EPR, MT, and GEP models." Journal of Hydroinformatics 18, no. 5 (2016): 867–84. http://dx.doi.org/10.2166/hydro.2016.212.

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Pier scour phenomena in the presence of debris accumulation have attracted the attention of engineers to present a precise prediction of the local scour depth. Most experimental studies of pier scour depth with debris accumulation have been performed to find an accurate formula to predict the local scour depth. However, an empirical equation with appropriate capacity of validation is not available to evaluate the local scour depth. In this way, gene-expression programming (GEP), evolutionary polynomial regression (EPR), and model tree (MT) based formulations are used to develop to predict the
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31

Mohammadzadeh S., Danial, Seyed-Farzan Kazemi, Amir Mosavi, Ehsan Nasseralshariati, and Joseph H. M. Tah. "Prediction of Compression Index of Fine-Grained Soils Using a Gene Expression Programming Model." Infrastructures 4, no. 2 (2019): 26. http://dx.doi.org/10.3390/infrastructures4020026.

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In construction projects, estimation of the settlement of fine-grained soils is of critical importance, and yet is a challenging task. The coefficient of consolidation for the compression index (Cc) is a key parameter in modeling the settlement of fine-grained soil layers. However, the estimation of this parameter is costly, time-consuming, and requires skilled technicians. To overcome these drawbacks, we aimed to predict Cc through other soil parameters, i.e., the liquid limit (LL), plastic limit (PL), and initial void ratio (e0). Using these parameters is more convenient and requires substan
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Jamali Nazari, Ali, Dariush Sardari, Ahmad Reza Vali, and Keivan Maghooli. "Computer Implementation of a New Therapeutic Model for GBM Tumor." Computational and Mathematical Methods in Medicine 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/481935.

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Modeling the tumor behavior in the host organ as function of time and radiation dose has been a major study in the previous decades. Here the effort in estimation of cancerous and normal cell proliferation and growth in glioblastoma multiform (GBM) tumor is presented. This paper introduces a new mathematical model in the form of differential equation of tumor growth. The model contains dose delivery amount in the treatment scheme as an input term. It also can be utilized to optimize the treatment process in order to increase the patient survival period. Gene expression programming (GEP) as a n
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Ghasemi, S., S. Vaghar, M. Pourzafar, H. Dehghani, and A. Heidarpour. "A novel predictive model for estimation of cell voltage in electrochemical recovery of copper from brass: Application of gene expression programming." Journal of Mining and Metallurgy, Section B: Metallurgy 56, no. 2 (2020): 237–45. http://dx.doi.org/10.2298/jmmb190924012g.

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Regarding the high corrosion resistance of brass in sulfuric acid, its leaching process is the most important step in hydrometallurgical recovery of brass scraps. In this study, the electrochemical dissolution of brass chips in sulfuric acid has been investigated. The electrochemical cell voltage depends on various parameters. Regarding the complexity of electrochemical dissolution, the system voltage could not be easily predicted based on the operational parameters of the cell. So, it is necessary to use modeling techniques to predict cell voltage. In this study, 139 leaching experiments were
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Mitra, Amit Kumar, Sanjoy Dey, Andrew Hangsleben, Michael Steinbach, Vipin Kumar, and Brian Van Ness. "Generation of a Predictive Score for Ixazomib Response in Multiple Myeloma." Blood 124, no. 21 (2014): 5695. http://dx.doi.org/10.1182/blood.v124.21.5695.5695.

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Abstract Multiple myeloma (MM) is the second-most common hematopoietic malignancy in the United States accounting for 1% of all cancers and 10% of all hematologic malignancies. Despite recent improvements in treatment strategies including the emergence of proteasome inhibitors (PIs) as effective chemotherapeutic agents, MM still remains difficult to cure with median survival rate of around 7 years, primarily due to wide inter-individual variation in response to treatment. We believe such heterogeneity in response to PIs is governed by the underlying molecular characteristics of the tumor inclu
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Amin, Muhammad Nasir, Mudassir Iqbal, Arshad Jamal, et al. "GEP Tree-Based Prediction Model for Interfacial Bond Strength of Externally Bonded FRP Laminates on Grooves with Concrete Prism." Polymers 14, no. 10 (2022): 2016. http://dx.doi.org/10.3390/polym14102016.

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Reinforced concrete structures are subjected to frequent maintenance and repairs due to steel reinforcement corrosion. Fiber-reinforced polymer (FRP) laminates are widely used for retrofitting beams, columns, joints, and slabs. This study investigated the non-linear capability of artificial intelligence (AI)-based gene expression programming (GEP) modelling to develop a mathematical relationship for estimating the interfacial bond strength (IBS) of FRP laminates on a concrete prism with grooves. The model was based on five input parameters, namely axial stiffness (Eftf), width of FRP plate (bf
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Babaeian, Mohammad, Farhang Sereshki, Mohammad Ataei, Micah Nehring, and Sadjad Mohammadi. "Application of Soft Computing, Statistical and Multi-Criteria Decision-Making Methods to Develop a Predictive Equation for Prediction of Flyrock Distance in Open-Pit Mining." Mining 3, no. 2 (2023): 304–33. http://dx.doi.org/10.3390/mining3020019.

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Blasting operations in open-pit mines generally have various management strategies relating to flyrock. There are empirical models for calculating the flyrock distance, but due to the complexity and uncertainty of rock properties and their interactions with blasting properties, there are still no models that can predict the flyrock distance that may be applicable across mining operations in general. In this regard, the Jajarm bauxite mine complex was used as a case study. The purpose of this study was to develop and evaluate different methods that can predict flyrock distance. For this purpose
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Khaskheli, Muhammad Bilawal, Shumin Wang, Xiaoshan Yan, and Yuehan He. "Innovation of the Social Security, Legal Risks, Sustainable Management Practices and Employee Environmental Awareness in The China–Pakistan Economic Corridor." Sustainability 15, no. 2 (2023): 1021. http://dx.doi.org/10.3390/su15021021.

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This research is about the China–Pakistan Economic Corridor (CPEC), which is an important and first project of the “Belt and Road” initiative (BRI). BRI is the framework and manifesto for the wide-ranging, fundamental collaboration signed by China and Pakistan in 2013. The CPEC vision and mission were initiated to develop economic growth and facilitate free trade, the people’s living standards of Pakistan and China through bilateral investments, trade, cultural exchanges, and economic activities between both countries. The initial investment for the project was $46 billion, with a tentative du
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Peng, Jie, Jianwen Du, and Liping Wang. "The study of ionic conductivity of the Li10GeP2S12 type Solid State Electrolyte by an extrapolation method and a deep-learning method." Journal of Physics: Conference Series 2557, no. 1 (2023): 012034. http://dx.doi.org/10.1088/1742-6596/2557/1/012034.

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Abstract An extrapolation method is usually applied when Ab initio molecular dynamics (AIMD) is applied to studying ionic conductivity in solid-state electrolytes in lithium-ion batteries. As the ions move slowly in solid-state electrolytes, the first-principles method typically involves computationally intensive calculations, and it can take significant time to obtain accurate results. First-principles method is too expensive for the time scale required at room temperature. The classical molecular dynamics method is typically applied to systems containing thousands of atoms and can simulate t
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Nee, Janpou. "Nonlinear integral equation from the BCS gap equations of superconductivity." Nonlinear Analysis: Real World Applications 11, no. 1 (2010): 190–97. http://dx.doi.org/10.1016/j.nonrwa.2008.10.047.

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Mende, Tamás, and András Roósz. "Calculation of the Immiscibility Gap by ESTPHAD Method." Materials Science Forum 659 (September 2010): 423–28. http://dx.doi.org/10.4028/www.scientific.net/msf.659.423.

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By using the thermodynamic equations, the ESTPHAD (Estimation of Phase Diagrams) method developed by us has been made suitable for calculating the immiscibility gap of monotectic systems. 2 special parameters were introduced in the basic equation of ESTPHAD which ensure the description of the characteristics of monotectic curve on the basis of the boundary conditions created by us. By means of the monotectic ESTPHAD equation, the equations of separation temperatures of monotectic parts in the Zn-Bi and Al-Bi systems were calculated (with an accuracy of +/- 10K) on the basis of the reference da
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GUPTA, H. C. "ELECTRON-PHONON INTERACTION FOR AN ANALYTIC SOLUTION TO THE BCS EQUATION FOR THE HIGH TEMPERATURE SUPERCONDUCTORS." Modern Physics Letters B 05, no. 20 (1991): 1349–53. http://dx.doi.org/10.1142/s0217984991001647.

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An energy dependent electron-phonon interaction has been used in the BCS equation. This provides an exactly solvable analytic solution to the BCS equation for the superconducting transition temperature and the gap parameter at absolute zero. These analytically obtained equations reduce to standard BCS form when temperature is small. These equations are applicable to low as well as high temperature superconductors successfully for their superconducting transition temperature and the energy gap parameter.
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El-Tantawy, S. A., Alvaro H. Salas, and Castillo H. Jairo E. "Stability analysis and novel solutions to the generalized Degasperis Procesi equation: An application to plasma physics." PLOS ONE 16, no. 9 (2021): e0254816. http://dx.doi.org/10.1371/journal.pone.0254816.

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In this work two kinds of smooth (compactons or cnoidal waves and solitons) and nonsmooth (peakons) solutions to the general Degasperis-Procesi (gDP) equation and its family (Degasperis-Procesi (DP) equation, modified DP equation, Camassa-Holm (CH) equation, modified CH equation, Benjamin-Bona-Mahony (BBM) equation, etc.) are reported in detail using different techniques. The single and periodic peakons are investigated by studying the stability analysis of the gDP equation. The novel compacton solutions to the equations under consideration are derived in the form of Weierstrass elliptic funct
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Brezhnev, Yurii V. "What does integrability of finite-gap or soliton potentials mean?" Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366, no. 1867 (2007): 923–45. http://dx.doi.org/10.1098/rsta.2007.2056.

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In the example of the Schrödinger/KdV equation, we treat the theory as equivalence of two concepts of Liouvillian integrability: quadrature integrability of linear differential equations with a parameter (spectral problem) and Liouville's integrability of finite-dimensional Hamiltonian systems (stationary KdV equations). Three key objects in this field—new explicit Ψ -function, trace formula and the Jacobi problem—provide a complete solution. The Θ -function language is derivable from these objects and used for ultimate representation of a solution to the inversion problem. Relations with non-
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Samdarshi, S. K., and S. C. Mullick. "Generalized Analytical Equation for the Top Heat Loss Factor of a Flat-Plate Solar Collector With N Glass Covers." Journal of Solar Energy Engineering 116, no. 1 (1994): 43–46. http://dx.doi.org/10.1115/1.2930064.

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A generalized analytical equation for the top heat loss factor of a flat-plate collector with one or more glass covers has been developed. The maximum computational errors resulting from the use of the analytical equation with several simplifications are ± 5 percent compared to numerical solution of the set of heat balance equations. The analytical equation is considerably more accurate than the available semi-empirical equations over the entire range of variables covered. An additional advantage of the proposed technique over the semi-empirical equations is that results can be obtained for di
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Khilji, Nasir M., and Akhtar Mahmood. "Military Expenditures and Economic Growth in Pakistan." Pakistan Development Review 36, no. 4II (1997): 791–808. http://dx.doi.org/10.30541/v36i4iipp.791-808.

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This paper explores the impacts of defence expenditures on economic growth and other major economic variables in the Pakistan economy over the period 1972-1995. The results of Granger-causality tests show that there is bi-directional feedback between the defence burden and GDP growth. We test four different single equation models that are widely used in the defence literature. In these frameworks we generally find the defence burden to be negatively related to GDP growth. Finally, we specify a three-equation model which explains GDP growth, average propensity to save, and the defence ratio. In
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Perdue, Mitzi. "The Schadt Equation." Genetic Engineering & Biotechnology News 33, no. 2 (2013): 30–31. http://dx.doi.org/10.1089/gen.33.2.20.

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Ahmed, Mahmoud M., Ayman G. Awadallah, Nabil A. Awadallah, and Wael T. Ahmed. "Assessment of Various Empirical Soil Loss Estimation Equations in Arid Regions." Journal of Geoscience and Environment Protection 10, no. 01 (2022): 109–22. http://dx.doi.org/10.4236/gep.2022.101008.

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SHI, ZHU-PEI, GUOXING HUANG, and RUIBAO TAO. "SOLITON-LIKE PHONON LOCALIZED MODES IN DIATOMIC NONLINEAR LATTICE CHAIN." International Journal of Modern Physics B 05, no. 13 (1991): 2237–52. http://dx.doi.org/10.1142/s0217979291000869.

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We have studied the localization of multivibrational states in diatomic nonlinear lattice chain. A simple model Hamiltonian presented here describes a system containing two kinds of phonons. The equations of motion for these boson operators are two partial differential equations with nonlinear coupling in long-wave approximation. With the help of the method of multiple scales, these equations are reduced to the nonlinear Schrödinger equation. It is shown that soliton-like phonon localized modes, multi-phonon localized modes can exist. The possibility of observing the gap solitons (phonon local
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DUNNE, GERALD V. "SYMMETRIES IN THE GROSS-NEVEU PHASE DIAGRAM." International Journal of Modern Physics A 25, no. 02n03 (2010): 616–26. http://dx.doi.org/10.1142/s0217751x10048901.

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The existence of crystalline condensates in the temperature and chemical potential phase diagram of the Gross-Neveu models can be traced to intricate symmetries of the associated inhomogeneous gap equation. The gap equation based on the Ginzburg-Landau expansion is precisely the mKdV or AKNS hierarchy of integrable nonlinear equations for the Gross-Neveu model with discrete or continuous chiral symmetry, respectively. The former model also has a dense-dilute symmetry that is due to the energy-reflection duality of the underlying quasi-exactly soluble spectral operators.
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Banerjea, Sudeshna, and B. N. Mandal. "Scattering of water waves by a submerged thin vertical wall with a gap." Journal of the Australian Mathematical Society. Series B. Applied Mathematics 39, no. 3 (1998): 318–31. http://dx.doi.org/10.1017/s0334270000009425.

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AbstractA train of surface water waves normally incident on a thin vertical wall completely submerged in deep water and having a gap, experiences reflection by the wall and transmission through the gaps above and in the wall. Using Havelock's expansion of water wave potential, two different integral equation formulations of the problem are presented. While the first formulation involves multiple integral equations which are solved here by reducing them to a singular integral equation with Cauchy kernel in a double interval, the second formulation involves a first-kind singular integral equatio
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