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Abstract

This study aims at identifying determinants of health related quality of life in Poland, and in particular at verifying whether health domains are complements or substitutes and what the impact of heterogeneity of population on the health state valuation is. The paper uses data in panel structure coming from a survey conducted in Poland and consisting of 6700 valuations (after data cleaning) of EQ-5D health states with time trade-off method. Several econometric models are built in order to detect the impact of complementarity and heterogeneity. Random effects models as well as random parameters models estimated using Bayesian approach are used. The results show that health domains are complementary goods. Especially the lack of pain/discomfort is a complement to other health domains. Demographic factors influence how health state change impacts utility. These factors encompass sex, education, respondent’s health state and even belief in life after death.

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Authors and Affiliations

Michał Jakubczyk
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Abstract

There are currently large quantities of heterogeneous contaminated sites and the in-situ thermal conductive heating (TCH) technology have been widely used in soil remediation. Some engineering cases have shown that when soil remediation of heterogeneous sites use TCH technology, the gases carrying contaminants migrate laterally and contaminate clean areas. However, there are relatively few domestic studies on this phenomenon. Some international scholars have confirmed the occurrence of this phenomenon on the laboratory scale, but have not proposed an effective solution to the above scientific question. This study first introduced the heating mechanism and heating process of TCH. Meanwhile, the forms and transformation mechanism of organic contaminants were fully expounded during soil remediation by TCH. In addition, the formation, migration, accumulation, and lateral diffusion of gaseous contaminants were comprehensively reviewed during the in-situ thermal desorption of heterogeneous strata. Finally, arrangement methods of extraction pipes to effectively capture gas are provided for the heterogeneous contaminated soils remediated by TCH. The results of this study will provide theoretical and technical support for in-depth understanding of steam movement in heterogeneous formations and the remediation of heterogeneous contaminated sites by TCH technology.
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Bibliography

  1. Baker, R. & Heron, G. (2004). In-Situ delivery of heat by thermal conduction and steam injection for improved DNAPL remediation.TerraTherm, Inc., Fitchburg USA2004.
  2. Baker, R., Lachance, J. & Heron, G. (2006). In-pile thermal desorption of PAHs, PCBs and dioxins/furans in soil and sediment. Land Contamination & Reclamation, 14(2), pp. 620–624. DOI:10.2462/09670513.731
  3. Biache, C., Mansuy-Huault, L., Faure, P., Munier-Lamy, C. & Leyval, C. (2008). Effects of thermal desorption on the composition of two coking plant soils:impact onsolvent extractable organic compounds and metal bioavailability. Environmental Pollution, 3, pp. 671–677. DOI:10.1016/j.envpol.2008.06.020
  4. Bonnard, M., Devin, S., Leyval, C., Morel, J.L. & Vasseur, P. (2010). The influence of thermal desorption on genotoxicity of multipolluted soil. Ecotoxicology and Environmental Safety, 73, pp. 955–960. DOI:10.1016/j.ecoenv.2010.02.02
  5. Brooks, M.C., Wise, W.R. & Annable, M.D. (1999). Fundamental changes in in situ air sparging how patterns. Groundwater Monitoring & Remediation, 19(2), pp. 105–113. DOI:10.1111/j.1745-6592.1999.tb00211.x
  6. Burghardt, J.M. & Kueper, B.H. (2008). Laboratory study evaluating heating of tetrachloroethylene impacted soil. Groundwater Monitoring & Remediation, 28(4), pp. 95–106. DOI:10.1111/ j.1745-6592.2008.00214.x
  7. Carey, V.P. (2007). Liquid-Vapor Phase-change Phenomena, second ed. Taylor and Francis, New York 2007. Cébron, A., Cortet, J., Criquet, S., Biaz, A., Calvert, V., Caupert, C., Pernin, C. & Leyval, C. (2011). Biological functioning of PAHpolluted and thermal desorption-treated soils assessed by fauna and microbial bioindicators. Research in Microbiology, 162, pp. 896–907. DOI:10.1016/j.resmic.2011.02.011
  8. Chiou, C.T., Porter, P.E. & Schmedding, D.W. (1983). Partition equilibria of nonionic organic compounds between soil organic matter and water. Environmental science & technology, 17, pp. 27–231, DOI:10.1021/es00110a009
  9. Chen, F., Freedman, D.L., Falta, R.W. & Murdochb, L.C. (2012). Henry’slaw constants of chlorinated solvents at elevated temperatures. Chemosphere, 86(2), pp. 156–165. DOI:10.1016/j. chemosphere.2011.10.004
  10. Geistlinger, H., Krauss, G., Lazik, D. & Luckner, L. (2006). Direct gas injection into saturated glass beads: Transition from incoherent to coherent gas flow pattern. Water Resources Research, 42, W07403. DOI:10.1029/2005WR004451
  11. Hegele, P.R. & Mumford, K.G. (2014) Gas production and transport during bench-scale electrical resistance heating of water and trichloroethene. Journal of Contaminant Hydrology, 165, pp. 24–36, DOI:10.1016/j.jconhyd.2014.07.002
  12. Heron, G., Bierschenk, J., Swift, R., Watson, R. & Kominek, M. (2016). Thermal DNAPL source zone treatment impact on a CVOC plume. Groundwater Monitoring & Remediation, 36(1), pp. 26–37. DOI:10.1111/gwmr.12148
  13. Heron, G., Carroll, S. & Nielsen, S.G. (2005). Full-scale removal of DNAPL constituents using steam enhanced extraction and electrical resistance heat. Groundwater Monitoring & Remediation, 25(4), pp. 92–107. DOI:10.1111/j.1745- 6592.2005.00060.x
  14. Heron, G., Lachance, J. & Baker R. (2013). Removal of PCE DNAPL from tight clays using in situ thermal desorption. Groundwater Monitoring & Remediation, 3(4), pp. 31–43. DOI:10.1111/ gwmr.12028
  15. Heron, G., Parker, K., Galligan, J. & Holmes, T.C. (2009). Thermal treatment of 8 CVOC source areas to near nondetect concentrations. Groundwater Monitoring & Remediation, 29(3), pp. 56–65. DOI:10.1111/j.1745-6592.2009.01247.
  16. Hicknell, B.N., Mumford, K.G. & Kueper, B.H. (2018). Laboratory study of creosote removal from sand at elevated temperatures. Contam Hydrol, 219, pp. 40–49. DOI:10.1016/j. jconhyd.2018.10.00
  17. Hiester, U., Muller, M., Koschitzky, H. & Trötschler, O. (2013). In situ thermal treatment for source zone remediation of soil and groundwater. British Medical Journal, 31, pp. 482–484.
  18. Janfada, T.S., Class, H., Kasiri, N. & Dehghani, M.R. (2020). Comparative experimental study on heat-up efficiencies during injection of superheated and saturated steam into unsaturated soil. International Journal of Heat and Mass Transfer, 158, 119235. DOI:10.1016/j.ijheatmasstransfer.2019.119235
  19. Jones, S.F., Evans, G.M. & Galvin K.P. (1999). Bubble nucleation from gas cavities – a review. Adv. Colloid Interfac, 80, pp. 27–50. DOI:10.1016/S0001-8686(98)00074-8
  20. Kueper, B.H. & McWhorter, D.B. (1991). The behaviour of dense, nonaqueous phase liquids in fractured clay and rock. Ground Water, 29(5), pp. 716–728. DOI:10.1111/j.1745-6584.1991. tb00563.
  21. Kunkel, A.M., Seibert, J.J., Elliott, L.J., Kelley, R., Katz, L.E. & Pope, G.A. (2006). Remediation of elemental mercury using in situ thermal desorption(ISTD). Environmental Science & Technology, 40(7), pp. 2384–2389. DOI:10.1021/es050358
  22. Li, K. & Horne, R.N. (2002). A capillary model for geothermal reservoirs. Proceedings of the GRC 2002 Annual Meeting,September 23–25, 2002, Reno, USA: Geothermal Resources Council Trans.
  23. Magdalena. M.K., Mumford, K.G., Johnson, R.L. & Sleep, B.E. (2011) Modeling discrete gas bubble formation and mobilization during subsurface heating of contaminated zones. Advances in Water Resources, 34, PP. 537–549. DOI:10.1016/j. advwatres.2011.01.010
  24. Martin, E.J. & Kueper, B.H. (2011). Observation of trapped gas during electrical resistance heating of trichloroethylene under passive venting conditions. Journal of Contaminant Hydrology, 126, pp. 291–300. DOI:10.1016/j.jconhyd.2011.09.004
  25. Martin, E.J., Mumford, K.G. & Kueper, B.H. (2016). Electrical resistance heating of clay layers in water-saturated sand. Groundwater Monitoring & Remediation, 36(1), pp. 54–61. DOI:10.1111/gwmr.12146
  26. Martin, E.J., Mumford, K.G, Kueper, B.H. & Siemens, G.A. (2017). Gas formation in sand and clay during electrical resistance heating. International Journal of Heat and Mass Transfer, 110, pp. 855–862. DOI:10.1016/j.ijheatmasstransfer.2017.03.056
  27. Mumford, K.G., Martin, E.J. & Kueper, B.H. (2021). Removal of trichloroethene from thin clay lenses by electrical resistance heating: Laboratory experiments and the effects of gas saturation. Journal of Contaminant Hydrology, 243, 103892. DOI:10.1016/J. JCONHYD.2021.103892
  28. Mumford, K.G., Smith, J.E. & Dickson, S.E. (2008). Mass flux from a non-aqueous phase liquid pool considering spontaneous expansion of a discontinuous gas phase. Journal of Contaminant Hydrology, 98, pp. 85–96. DOI:10.1016/j.jconhyd.2008.02.007
  29. Munholland, J.L. (2015) Electrical resistance heating of groundwater impacted by chlorinated solvents in heterogeneous sand. ProQuest Dissertations. Munholland, J.L., Mumford, K.G. & Kueper, B.H. (2016). Factors affecting gas migration and contaminant redistribution in heterogeneous porous media subject to electrical resistance heating. Journal of Contaminant Hydrology, 184, pp. 14–24. DOI:10.1016/j.jconhyd.2015.10.011
  30. Netzeva, T.I., Aptula, A.O., Chaudary, S.H., Duffy, J.C., Schultz, T.W., Schűrmann, G. & Cronin, M.T.D. (2003). Structure-Activity Relationships for the Toxicity of Substituted Poly-Hydroxylated. Benzenes to Tetrahymena Pyriformis: influence of Free Radical Formation. Qsar & Combinatorial Science, 22(6), pp. 575–582.
  31. Nilsson, B., Tzovolou, D., Jeczalik, M., TomaszKasela, T., Slack,W., Klint, K.E., Haeseler, F. & Tsakiroglou, D.C. (2011). Combining steam injection with hydraulic fracturing for the in-situ remediation of the unsaturated zone of a fractured soil polluted by jet fuel. Journal of Environmental Management, 92. DOI:10.1016/j.jenvman.2010.10.004
  32. Oberle. D. & Kluger, M. (2015). In situ remediation of 1, 4-dioxane using electrical resistance heating. Remediation Journal, 25(2), pp. 35–42. DOI:10.1002/rem.21422
  33. O’Carroll, D.M. & Sleep, B.E. (2007). Hot water flushing for immiscible displacement of a viscous NAPL. Journal of Contaminant Hydrology, 91, pp. 47–266. DOI:10.1016/j.jconhyd.2006.11.003
  34. Schwarzenbach, R.P., Gschwend, P.M. & Imboden, D.M. (2003). Environmental Organic Chemistry, JohnWiley &Sons, New Jersey2003. Scriven, L.E. (1959). On the dynamics of phase growth. Chemical Engineering Science, 10, PP. 1–13, DOI:10.1016/0009- 2509(59)80019-1
  35. Sinnott, R.K. (2005). Coulson’s and Richardson’s Chemical Engineering, Chemical Engineering Design. Elsevier Inc., UK2005.
  36. Sleep, B.E. & Ma, Y.F. (1997). Thermal variation of organic fluid properties and impact on thermal remediation feasibility. Journal of Soil Contamination, 6(3), pp. 281–306. DOI:10.1080/15320389709383566
  37. Smith, J.M. & Van Ness, H.C. (1987). Introduction to Chemical Engineering Thermodynamics. Mc-Graw Hill, Inc., New York 1987.
  38. Sun, H., Yang, X.R., Xie, J.Y. & Zhao, Y.S. (2021). Remediation of Diesel-Contaminated Aquifers Using Thermal Conductive Heating Coupled With Thermally Activated Persulfate. Water Air Soil Pollut, 232: 293. DOI:10.1007/s11270-021-05240-x
  39. Suthersan. S.S., Horst. J., Schnobrich. M., Welty, N. & McDonough, J. (2016). Remediation Engineering-Design Concepts Second Edition, CRC Press, Boca Raton 2016.
  40. Tang, S., Wang, X., Mao, Y., Zhao, Y., Yang, H. & Xie, Y.F. (2015). Effect of dissolved oxygen concentration on iron efficiency: removal of three chloroacetic acids. Water Research, 73, pp. 342–352. DOI:10.1016/j.watres.2015.01.02
  41. Triplett Kingston,J.L., Dahlen, P.R. & Johnson, P.C. (2010). State-of- -the-practice review of in situ thermal technologies. Groundwater Monitoring & Remediation, 30 (4), pp. 64–72. DOI:10.1111/ j.1745-6592.2010.01305.x
  42. Triplett Kingston, J.L., Johnson, P.C., Kueper, B.H. & Mumford, K.G. (2014). In situ thermal treatment of chlorinated solvent source zones. Chlorinated Solvent Source Zone Remediation, 7, pp. 509–557.
  43. Udell, K.S. (1996). Heat and mass transfer in clean-up of underground toxic wastes. In Annual Reviews of Heat Transfer, 7, pp. 333–405. DOI:10.1615/AnnualRevHeatTransfer.v7.80.
  44. Vermeulen, F. & McGee, B. (2000). In situ electromagnetic heating for hydrocarbon recovery and environmental remediation. J Can. Pet. Technol, 39(8), pp. 24–28. DOI:10.2118/00-08-DAS
  45. Voort, M., Kempenaar, M., Driel, M., Raaijmakers, M.J. & Mendes, R. (2016). Impact of soil heat on reassembly of bacterial communities in the rhizosphere microbiome and plant disease suppression. Ecology Letters, 19(4), pp. 375–382. DOI:10.1111/ele.12567
  46. Zhao, C., Mumford, K.G. & Kueper, B.H. (2014). Laboratory study of non-aqueous phase liquid and water co-boiling during thermal treatment. Journal of Contaminant Hydrology, 164, pp. 49–58. DOI:10.1016/j.jconhyd.2014.05.008
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Authors and Affiliations

Wei Ji
1
Rong-Bing Fu
1
Cai-Hong Gao
1
Jia-Bin Yao
1

  1. State Key Laboratory of Pollution Control and Resources Reuse,College of Environmental Science and Engineering, Tongji University, Shanghai 200092, ChinaCentre for Environmental Risk Management and Remediation of Soil and Groundwater,Tongji University, Shanghai 200092, China
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Abstract

Catalytic reforming is an important intermediate in the processing of crude (naphtha in particular) to obtain gasoline. The catalyst used in the process (platinum) is quite expensive and may negatively impact the business if not used judiciously. The aforesaid not only refers to the reduction in loss of the catalyst per unit of gasoline produced but also to the manufacturing of an environmentally friendlier product alongside which is the need of the planet and also a necessity to meet the increasingly strict government norms. In order to meet the above requirements, various refineries around the world use various well-known conventional methods which depend on the quality and quantity of crude manufactured by them.
This paper focuses on highlighting recent advancements in methods of catalytic regeneration (CR) in the reforming unit of petroleum industries to produce high octane gasoline, without any major replacements in their existing setup. Research papers formulated by the application of methodologies involving non-linear models and real-time refinery data have only been considered to avoid any deviations/errors in practical applications. In-depth analysis of these papers has led to the origin of some ideas which have been included as suggestions and can be considered as subjects of further research. In all, the objective of the paper is to serve as a reference for researchers and engineers working on devising optimum methods to improve the regeneration of reforming catalysts.
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Authors and Affiliations

Aviral Gupta
1
S.K. Gupta
1

  1. Harcourt Butler Technical University, Department of Chemical Engineering, Kanpur-208002, India
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Abstract

The recent decades have seen the growth in the fields of wireless communication technologies, which has made it possible to produce components with a rational cost of a few cubic millimeters of volume, called sensors. The collaboration of many of these wireless sensors with a basic base station gives birth to a network of wireless sensors. The latter faces numerous problems related to application requirements and the inadequate abilities of sensor nodes, particularly in terms of energy. In order to integrate the different models describing the characteristics of the nodes of a WSN, this paper presents the topological organization strategies to structure its communication. For large networks, partitioning into sub-networks (clusters) is a technique used to reduce consumption, improve network stability and facilitate scalability.
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Authors and Affiliations

Sarang Dagajirao Patil
1
Pravin Sahebrao Patil
2

  1. NES Gangamai College of Engineering, Nagaon, Dhule, Maharashta, India
  2. Dept. of E&C Engineering SSVPSBSD College of Engineering Dhule, Maharashtra, India
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Abstract

Usually, cellular networks are modeled by placing each tier (e.g macro, pico and relay nodes) deterministically on a grid. When calculating the metric performances such as coverage probability, these networks are idealized for not considering the interference. Overcoming such limitation by realistic models is much appreciated. This paper considered two- tier twohop cellular network, each tier is consisting of two-hop relay transmission, relay nodes are relaying the message to the users that are in the cell edge. In addition, the locations of the relays, base stations (BSs), and users nodes are modeled as a point process on the plane to study the two hop downlink performance. Then, we obtain a tractable model for the k-coverage probability for the heterogeneous network consisting of the two-tier network. Stochastic geometry and point process theory have deployed to investigate the proposed two-hop scheme. The obtained results demonstrate the effectiveness and analytical tractability to study the heterogeneous performance.

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Authors and Affiliations

Moubachir Madani Fadoul
Razali Ngah
Alireza Moradi
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Abstract

Dual-phase steels have received extensive attention in autobody frame manufacturing due to the resulting characteristics of an interesting combination of ductile ferrite and hard martensite. Moreover, the ductile ferrite and hard martensite lead to heterogeneous deformation in the boundary between the two phases. Then, geometrically necessary dislocations (GNDs) are created to accommodate a lattice mismatch due to the deformation incompatibility of the boundary in straining. In this study, a new empirical GND model is developed, in which the GND density is a function of local plastic deformation; the GND density is distributed in the phase boundary in accordance with an “S” model of material plastic strain. The boundary conditions are applied to define the parameters. The proposed model is verified with DP600 steel. The effects of the GNDs and the width between ferrite and martensite on the strain hardening of DP600 steel are evaluated.
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Authors and Affiliations

Gou Rui-Bin
1
Dan Wen-Jiao
1
Xu Yong-Sheng
2
Yu Min
3
Li Tong-Jie
1

  1. Anhui Science and Technology University, College of Mechanical Engineering, Fengyang 233100, Anhui, China
  2. Shanghai Jiao Tong University, Department of Engineering Mechanics, School of Naval Architecture, Ocean and Civil Engineering, Shanghai 200240, China
  3. Anhui Science and Technology University, College of Architecture, Bengbu 233000, Anhui, China
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Abstract

Learning resources are massive, heterogeneous, and constantly changing. How to find the required resources quickly and accurately has become a very challenging work in the management and sharing of learning resources. According to the characteristics of learning resources, this paper proposes a progressive learning resource description model, which can describe dynamic heterogeneous resource information on a fine-grained level by using information extraction technology, then a semantic annotation algorithm is defined to calculate the semantic of learning resource and add these semantic to the description model. Moreover, a semantic search method is proposed to find the required resources, which calculate the content with the highest similarity to the user query, and then return the results in descending order of similarity. The simulation results show that the method is feasible and effective.
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Authors and Affiliations

Xiaocong Lai
1
Ying Pan
1
Xueling Jiang
1

  1. Guangxi Key Lab of Human-machine Interaction and Intelligent Decision, Nanning Normal University, Nanning 530001, People’s Republic of China
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Abstract

There are reasons researchers may be interested in accounting for spatial heterogeneity of preferences, including avoiding model misspecification and the resulting bias, and deriving spatial maps of willingness-to-pay (WTP), which are relevant for policy-making and environmental management. We employ a Monte Carlo simulation of three econometric approaches to account for spatial preference heterogeneity in discrete choice models. The first is based on the analysis of individual-specific estimates of the mixed logit model. The second extends this model to explicitly account for spatial autocorrelation of random parameters, instead of simply conditioning individual-specific estimates on population-level distributions and individuals’ choices. The third is the geographically weighted multinomial logit model, which incorporates spatial dimensions using geographical weights to estimate location-specific choice models. We analyze the performance of these methods in recovering population-, region- and individual-level preference parameter estimates and implied WTP in the case of spatial preference heterogeneity. We find that, although ignoring spatial preference heterogeneity did not significantly bias population-level results of the simple mixed logit model, neither individual-specific estimates nor the geographically weighted multinomial logit model was able to reliably recover the true region- and individual-specific parameters. We show that the spatial mixed logit proposed in this study is promising and outline possibilities for future development.
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Bibliography

[1] Abildtrup J., Garcia S., Olsen S. B., Stenger A., (2013), Spatial preference heterogeneity in forest recreation, Ecological Economics 92(1), 67–77.
[2] Broch S. W., Strange N., Jacobsen J. B., Wilson K. A., (2013a) Farmers’ willingness to provide ecosystem services and effects of their spatial distribution, Ecological Economics 92, 78–86.
[3] Broch S. W., Strange N., Jacobsen J. B., Wilson K. A., (2013b), Farmers’ willingness to provide ecosystem services and effects of their spatial distribution, Ecological Economics 92(0), 78–86.
[4] Budzinski W., Campbell D., Czajkowski M., Demsar U., Hanley N., (2018), Using geographically weighted choice models to account for spatial heterogeneity of preferences, Journal of Agricultural Economics 69(3), 606–626.
[5] Budzinski W., Campbell D., Czajkowski M., Demsar U., Hanley N., Using geographically weighted choice models to account for spatial heterogeneity of preferences, Journal of Agricultural Economics, forthcoming.
[6] Campbell D., Hutchinson W. G., Scarpa R., (2009), Using Choice Experiments to Explore the Spatial Distribution of Willingness to Pay for Rural Landscape Improvements, Environment and Planning A 41(1), 97–111.
[7] Campbell D., Scarpa R., Hutchinson W. G., (2008), Assessing the spatial dependence of welfare estimates obtained from discrete choice experiments, Letters in Spatial and Resource Sciences 1(2-3), 117–126.
[8] Carson R. T., Czajkowski M., (2014), The Discrete Choice Experiment Approach to Environmental Contingent Valuation, [in:] Handbook of choice modelling, Hess S., Daly A., [eds.] Elgar E., Northampton, MA.
[9] Czajkowski M., Budzinski W., (2015), An insight into the numerical simulation bias – a comparison of efficiency and performance of different types of quasi Monte Carlo simulation methods under a wide range of experimental conditions, Environmental Choice Modelling Conference, Copenhagen.
[10] Czajkowski M., Budzinski W., (2019), Simulation error in maximum likelihood estimation of discrete choice models, Journal of Choice Modelling 31, 73–85.
[11] Czajkowski M., Budzinski W., Campbell D., Giergiczny M., Hanley N., (2017), Spatial Heterogeneity of Willingness to Pay for Forest Management, Environmental and Resource Economics 68(3), 705–727.
[12] Dekker T., Koster P., Brouwer R., (2014), Changing with the Tide: Semiparametric Estimation of Preference Dynamics, Land Economics 90(4), 717– 745.
[13] Fotheringham A. S., Brunsdon C., Charlton M., (2003), Geographically weighted regression: the analysis of spatially varying relationships, John Wiley & Sons.
[14] Fotheringham S., Charlton M., Brunsdon C., (1998), Geographically weighted regression: a natural evolution of the expansion method for spatial data analysis, Environment and Planning A 30(11), 1905–1927.
[15] Gelman A., Carlin J. B., Stern H. S., Dunson D. B., Vehtari A., Rubin D. B., (2014), Bayesian data analysis, CRC Press Boca Raton, FL.
[16] Hanley N., Czajkowski M., (2019), The Role of Stated Preference Valuation Methods in Understanding Choices and Informing Policy, Review of Environmental Economics and Policy 13(2), 248–266.
[17] Hess S., Train K., (2017), Correlation and scale in mixed logit models, Journal of Choice Modelling 23, 1–8.
[18] Hynes S., Hanley N., O’Donoghue C., (2010), A Combinatorial Optimization Approach to Nonmarket Environmental Benefit Aggregation via Simulated Populations, Land Economics 86(2), 345–362.
[19] Johnston R. J., Ramachandran M., (2014), Modeling Spatial Patchiness and Hot Spots in Stated Preference Willingness to Pay, Environmental and Resource Economics 59(3), 363–387.
[20] Johnston R. J., Ramachandran M., Schultz E. T., Segerson K., Besedin E. Y., (2011), Characterizing spatial pattern in ecosystem service values when distance decay doesn’t apply: choice experiments and local indicators of spatial association. Paper number 103374 provided by Agricultural and Applied Economics Association in its series 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania.
[21] Koster P. R., Koster H. R. A., (2015), Commuters’ preferences for fast and reliable travel: A semi-parametric estimation approach, Transportation Research Part B: Methodological 81, Part 1, 289–301.
[22] LeSage J. P., (1999), The Theory and Practice of Spatial Econometrics, unpublished manuscript available at: http://www.spatial-econometrics.com.
[23] McFadden D., (1974), Conditional Logit Analysis of Qualititative Choice Behaviour, [in]: Frontiers in Econometrics, [ed.:] Zarembka P., Academic Press, New York, NY, 105–142.
[24] Smith T. E., LeSage J. P., (2004), A bayesian probit model with spatial dependencies, Spatial and Spatiotemporal Econometrics 18(18), 127–160.
[25] Train K., Sonnier G., (2005), Mixed Logit with Bounded Distributions of Correlated Partworths, [in:] Applications of Simulation Methods in Environmental and Resource Economics, [eds.:] Scarpa R., Alberini A., Springer Netherlands, 117–134.
[26] Train K. E., (2009), Discrete Choice Methods with Simulation, 2 Ed., Cambridge University Press, New York.
[27] Yao R. T., Scarpa R., Turner J. A., Barnard T. D., Rose J. M., Palma J. H. N., Harrison D. R., (2014), Valuing biodiversity enhancement in New Zealand’s planted forests: Socioeconomic and spatial determinants of willingness-to-pay, Ecological Economics 98(0), 90–101.


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Authors and Affiliations

Wiktor Budziński
1
ORCID: ORCID
Mikołaj Czajkowski
1
ORCID: ORCID

  1. University of Warsaw
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Abstract

A simple empirical study on the orientation, diameter, and extent of radial fractures (long and short) at the vicinity of the face-perpendicular preconditioned boreholes is described. Homogenous and heterogeneous mining faces were considered when studying the orientation of radial fractures, four and five face-perpendicular preconditioning practices were used to investigate the outspread and diameter of radial fractures from one blasted drill hole to another. Long radial fractures were observed to be developed along the direction of the maximum principal stress and short radial fractures were observed to be developed along the direction of the intermediate principal stress in a homogenous mining face. On the other hand, long radial fractures were observed to be developed along the direction of the intermediate principal stress, while short radial fractures were observed to be developed along the direction of the maximum principal stress when the mining faces subjected to heterogeneous rock mass. The diameters of the radial fractures observed were inconsistent and were not nine times the diameter of the original borehole. Furthermore, the extent of radial fractures from one borehole to another was noted to be gradually improved when the additional of preconditioned borehole was in place. This study maintained that the orientation of radial fractures is mostly controlled by the rock properties, however, extend and the diameters of the radial fractures are controlled by rock properties, the effectiveness of the stress wave and gas pressure and brittleness of the rock mass.

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Authors and Affiliations

Fhatuwani Sengani
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Abstract

As day by day the population is increasing, the use of mobile phones and different applications is increasing which requires high data rate for transmission. Homogeneous cellular network cannot fulfill the demand of mobile users, so creating a heterogeneous cellular network (HCN) is a better choice for higher coverage and capacity to fulfil the increasing demand of upcoming 5G and ultra-dense cellular networks. In this research, the impact of antenna heights and gains under varying pico to macro base stations density ratio from 2G to 5G and beyond on two-tier heterogeneous cellular network has been analyzed for obtaining optimum results of coverage and area spectral efficiency. Furthermore, how the association of UEs affects the coverage and ASE while changing the BSs antenna heights and gains has been explored for the two-tier HCN network model. The simulation results show that by considering the maximum macro BS antenna height, pico BS antenna height equal to user equipment (UE) antenna height and unity gains for both macro and pico tiers, the optimum coverage and area spectral efficiency (ASE) for a two-tier fully loaded heterogeneous cellular network can be obtained.
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Bibliography

[1] RYSAVY Research, “LTE to 5G: Cellular and Broadband Innovation,” 5G Americas white paper, 2017.
[2] J. Acharya, L. Gao, S. Gaur, “Heterogeneous Networks in LTE-Advanced,” John Wiley & Sons, 2014.
[3] H. S. Dhillon, R. K. Ganti, F. Baccelli, J. G. Andrews, “Modeling and analysis of K-tier downlink heterogeneous cellular networks,” IEEE Journal on Selected Areas in Communications, vol. 30(3), 2012, pp. 550-560.
[4] J. Chen, P. Rauber, D. Singh, C. Sundarraman, P. Tinnakornsrisuphap, M. Yavuz, “Femtocells – Architecture & Network Aspects,” Qualcomm, 2010, pp. 1-6.
[5] M. Ghanbarisabagh, G. Vetharatnam, S. M. Giacoumidis, Malayer, “Capacity Improvement in 5G Networks Using Femtocell,” Wireless Personal Communications, vol. 105, 2019, pp. 1027–1038, https://doi.org/10.1007/s11277-019-06134-2
[6] F. Baccelli, B. Btaszczyszyn, “Stochastic Geometry and Wireless Networks: Volume I: Theory,” Foundations and Trends in Networking, Hanover, USA, 2009.
[7] M. Haenggi, “Stochastic Geometry for Wireless Networks,” Cambridge University Press, 2012.
[8] S. N. Chiu, D. Stoyan, W. Kendall, and J. Mecke, “Stochastic Geometry and its applications,” Wiley series in Probability and Statistics, John Wiley & Sons, 2013.
[9] J. G. Andrews, F. Baccelli, and R. K. Ganti, “A tractable approach to coverage and rate in cellular networks,” IEEE Transactions on Communications, vol. 59, no. 11, 2011, pp. 3122–3134.
[10] H. S. Dhillon, R. K. Ganti, F. Baccelli, and J. G. Andrews, “Modeling and analysis of K-tier downlink heterogeneous cellular networks,” IEEE Journal on Selected Areas in Communications, vol. 30, no. 3, 2012, pp. 550–560.
[11] Y. Deng, L. Wang, M. Elkashlan, M. Di Renzo and J. Yuan, “Modeling and Analysis of Wireless Power Transfer in Heterogeneous Cellular Networks,” IEEE Transactions on Communications, vol. 64, no. 12, 2016, pp. 5290-5303.
[12] Q. Ye, B. Rong, Y. Chen, M. Al-Shalash, C. Caramanis and J. G. Andrews, “User Association for Load Balancing in Heterogeneous Cellular Networks,” IEEE Transactions on Wireless Communications, vol. 12, no. 6, 2013, pp. 2706-2716.
[13] S. Singh, and H.S. Dhillon, “Offloading in Heterogeneous Networks: Modeling, Analysis, and Design Insights,” IEEE Transactions on Wireless Communications, vol. 12 (5), 2013, pp. 2484–2497.
[14] W. Wang and G. Shen, “Energy Efficiency of Heterogeneous Cellular Network,” IEEE 72nd Vehicular Technology Conference - Fall, Ottawa, 2010, pp. 1-5.
[15] X. Chen, J. Wu, Y. Cai, H. Zhang and T. Chen, “Energy-Efficiency Oriented Traffic Offloading in Wireless Networks: A Brief Survey and a Learning Approach for Heterogeneous Cellular Networks,” IEEE Journal on Selected Areas in Communications, vol. 33, no. 4, 2015, pp. 627-640.
[16] X. Li, R. W. Heath Jr., K. Linehan, and R. Butler, “Impact of metro cell antenna pattern and downtilt in heterogeneous networks,” arXiv:1502.05782 [cs.IT], 2015. [Online] Available: http://arxiv.org/abs/1502.05782.
[17] L. Xiang, H. Chen, and F. Zhao, “Area Spectral Efficiency and Energy Efficiency Tradeoff in Ultradense Heterogeneous Networks,” Wireless Communications and Mobile Computing, Hindawi, vol. 2017.
[18] M. Ding and D. Lopez Perez, “Please Lower Small Cell Antenna Heights in 5G,” IEEE Global Communications Conference (GLOBECOM), Washington, DC, 2016, pp. 1-6.
[19] M. Ding and D. López-Pérez, “Performance Impact of Base Station Antenna Heights in Dense Cellular Networks,” IEEE Transactions on Wireless Communications, vol. 16, no. 12, 2017, pp. 8147-8161.
[20] M. M. Shaikh, M. C. Aguayo-Torres, “Joint Uplink/Downlink Coverage and Spectral Efficiency in Heterogeneous Cellular Network,” Springer, Wireless Personal Communications Journal, 2016, https://doi.org/10.1007/s11277- 016-3889-1.
[21] M. M. Shaikh, M. C. Aguayo-Torres, “Fairness and Rate Coverage of Symmetric Transmission over Heterogeneous Cellular Networks under Diverse Coupling and Association Criteria,” Springer Wireless Personal Communications Journal, 2017, https://doi.org/10.1007/s11277-017-4418-6.
[22] S. Mukherjee, “Analytical Modeling of Heterogeneous Cellular Networks: Geometry, Coverage, and Capacity,” Cambridge University Press, 2014.
[23] M. Ding, D. Lopez-Perez, H. Claussen, M. A. Kaafar, “On the Fundamental Characteristics of Ultra-Dense Small Cell Networks,” IEEE Network, vol. 32, no. 3, 2018, pp. 92-100.
[24] 3GPP, “TR 36.828 V11.0.0: 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA); Further enhancements to LTE Time Division Duplex (TDD) for Downlink-Uplink (DL-UL) interference management and traffic adaptation (Release 11),” 2012.
[25] 3GPP, “TR 36.814, V2.2.0: 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA); Further advancements for E-UTRA physical layer aspects,” 2017.
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Authors and Affiliations

Anum Abbasi
1
M. Mujtaba Shaikh
1
Safia Amir Dahri
1
Sarfraz Ahmed Soomro
1
Fozia Aijaz Panhwar
1

  1. Department of Telecommunication Engineering, Quaid-e-Awam University of Engineering, Science & Technology (QUEST), Nawabshah, Sindh, Pakistan
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Abstract

The fixed fleet heterogeneous open vehicle routing problem (HFFOVRP) is one of the most practical versions of the vehicle routing problem (VRP) defined because the use of rental vehicles reduces the cost of purchasing and routing for shipping companies nowadays. Also, applying a heterogeneous fleet is recommended due to the physical limitations of the streets and efforts to reduce the running costs of these companies. In this paper, a mixed-integer linear programming is proposed for HFFOVRP. Because this problem, like VRP, is related to NP-hard issues, it is not possible to use exact methods to solve real-world problems. Therefore, in this paper, a hybrid algorithm based on the ant colony algorithm called MACO is presented. This algorithm uses only global updating pheromones for a more efficient search of feasible space and considers a minimum value for pheromones on the edges. Also, pheromones of some best solutions obtained so far are updated, based on the quality of the solutions at each iteration, and three local search algorithms are used for the intensification mechanism. This method was tested on several standard instances, and the results were compared with other algorithms. The computational results show that the proposed algorithm performs better than these methods in cost and CPU time. Besides, not only has the algorithm been able to improve the quality of the best-known solutions in nine cases but also the high-quality solutions are obtained for other instances.
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Authors and Affiliations

Majid Yousefikhoshbakht
1
ORCID: ORCID
Farzad Didehvar
2
Farhad Rahmati
2
Zakir Hussain Ahmed
3

  1. Department of Mathematics, Faculty of Sciences, Bu-Ali Sina University, Hamedan, Iran
  2. Department of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran
  3. Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Kingdom of Saudi Arabia
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Abstract

The four-layer stack accumulative roll bonding (ARB) process using AA1050, AA5052 and AA6061 alloy sheets is performed up to 2 cycles without a lubricant at room temperature. The sample fabricated by the ARB is a multi-layer complex aluminum alloy sheet in which the AA1050, AA5052 and AA6061 alloys are alternately stacked to each other. The changes of microstructure and mechanical properties with annealing for the-ARBed aluminum sheet are investigated in detail. The as-ARBed sheet shows an ultrafine grained structure, however the grain diameter is some different depending on the kind of aluminum alloys. The complex aluminum alloy still shows ultrafine structure up to annealing temperature of 250℃, but above 275℃ it exhibits a heterogeneous structure containing both the ultrafine grains and the coarse grains due to an occurrence of discontinuous recrystallization. This change in microstructure with annealing also has an effect on the change of the mechanical properties of the sample. Especially, the specimen annealed at 300℃ represents abnormal values for the strength coefficient K and work hardening exponent n value.
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Bibliography

[1] L. Ding, Y. Weng, S. Wu, R.E. Sansers, Z. Jia, Q. Liu, Mater. Sci. Eng. A651, 991 (2016).
[2] X. Fan, Z. He, W. Zhou, S. Yuan, J. Mater. Process. Tech. 228, 179 (2016).
[3] J.Y. Hwang, S.H. Lee, Korean J. Mater. Res. 29 (6), 392 (2019).
[4] S.H. Jo, S.H. Lee, Korean J. Mater. Res. 30 (5), 246 (2020).
[5] S.S. Na, Y.H. Kim, H.T. Son, S.H. Lee, Korean J. Mater. Res. 30 (10), 542 (2020).
[6] M. Jeong, J. Lee, J.H. Han, Korean J. Mater. Res. 29, 10 (2019).
[7] S.J. Oh, S.H. Lee, Korean J. Mater. Res. 28 (9), 534 (2018).
[8] E .H. Kim, H.H. Cho, K.H. Song, Korean J. Mater. Res. 27, 276 (2017).
[9] Y. Saito, N. Tsuji, H. Utsunomiya, T. Sakai, R.G. Hong, Scrip. Mater. 39, 1221 (1998).
[10] Y. Saito, H. Utsunomiya, N. Tsuji, T. Sakai, Acta. Mater. 47, 579 (1999).
[11] S.H. Lee, Y. Saito, T. Sakai, H. Utsunomiya, Mater. Sci. Eng. A325, 228 (2002).
[12] S.H. Lee, H. Utsunomiya, T. Sakai, Mater. Trans. 45, 2177 (2004).
[13] S.H. Lee, J. Kor. Inst. Met. & Mater. 43 (12), 786 (2005).
[14] S.H. Lee, C.H. Lee, S.Z. Han, C.Y. Lim, J. Nanosci. and Nanotech. 6, 3661 (2006).
[15] S.H. Lee, C.H. Lee, S.J. Yoon, S.Z. Han, C.Y. Lim, J. Nanosci. and Nanotech. 7, 3872 (2007).
[16] N. Takata, S.H. Lee, C.Y. Lim, S.S. Kim, N. Tsuji, J. Nanosci. and Nanotech. 7, 3985 (2007).
[17] S.H. Lee, H.W. Kim, C.Y. Lim, J. Nanosci. and Nanotech. 10, 3389 (2010).
[18] M. Eizadjou, A. Kazemi Talachi, H. Danesh Manesh, H. Shakur Shahabi, K. Janghorban, Composites Sci. and Tech. 68, 2003 (2008).
[19] Ming-Che Chen, Chih-Chun Hsieh, Weite Wu, Met. Mater. Int. 13 (3), 201 (2007).
[20] G uanghui Min, J.M. Lee, S.B. Kang, H.W. Kim, Mater. Letters 60, 3255 (2006).
[21] S.H. Lee, C.S. Kang, Korean J. Met. Mater. 49 (11), 893 (2011).
[22] S.H. Lee, J.H. Kim, Korean J. Met. Mater. 51 (4), 251 (2013).
[23] H. Kuhn, D. Medlin, Mechanical Testing and Evaluation, ASM Handbook, ASM International 8, 71 (2000).
[24] G .E. Dieter, Mechanical Metallurgy, SI Metric Edition, McGraw- Hill Book Company, London, 71 (2001).
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Authors and Affiliations

Sang-Hyeon Jo
1
ORCID: ORCID
Seong-Hee Lee
1
ORCID: ORCID

  1. Mokpo National University, Advanced Materials Science and Engineering, Muan-Gun, Jeonnam 58554, Korea
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Abstract

In the present paper, the model of multi–server queueing system with random volume customers, non–identical (heterogeneous) servers and a sectorized memory buffer has been investigated. In such system, the arriving customers deliver some portions of information of a different type which means that they are additionally characterized by some random volume vector. This multidimensional information is stored in some specific sectors of a limited memory buffer until customer ends his service. In analyzed model, the arrival flow is assumed to be Poissonian, customers’ service times are independent of their volume vectors and exponentially distributed but the service parameters may be different for every server. Obtained results include general formulae for the steady–state number of customers distribution and loss probability. Special cases analysis and some numerical computations are attached as well.
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Authors and Affiliations

Marcin Ziółkowski
1
ORCID: ORCID

  1. Institute of Information Technology, Warsaw University of Life Sciences – SGGW, Poland

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