Invariant energy in short-term personality dynamics

Caselles, A.; Amigó, S.; Micó, JC. (2020). Invariant energy in short-term personality dynamics. 36-41. http://hdl.handle.net/10251/178203S364

A proposal for quantum short time personality dynamics

Micó, JC.; Amigó, S.; Caselles, A. (2020). A proposal for quantum short time personality dynamics. 102-108. http://hdl.handle.net/10251/178215S10210

Lowest thermal transmittance of an external wall under budget,material and thickness restrictions: An integer linear programming approach

[EN] This paper deals with the minimization of a building¿s external wall thermal transmittance, with theaim of improving the energy efficiency of the building. The wall¿s thermal transmittance must abide bythe current legislation, but also suit the limitations of other construction parameters, mainly budget andthickness, but also time limit, workforce, number and thickness of the layers and availability of materialsdepending on the approach.The optimization is achieved formulating an Integer Linear Programming (ILP) problem involving theparameters mentioned above. Therefore, any available ILP solver can be run to obtain the best combinationof the different materials and thicknesses for the layers, in order to minimize the thermal transmittance.This paper presents a case study of a common but representative external wall consisting of 6 layers,with more than 670,000 possible combinations of materials and their thicknesses. The study concludeswith a comparison of the lowest thermal transmittance obtained for a selection of budget and thicknesscombinations for the mentioned wall.This work was partially supported by the "Ministerio de Economia y Competitividad, Programa Estatal de Investigacion, Desarrollo e Innovacion 582 Orientada a los Retos de la Sociedad, Proyectos I+D+I 2014", Spain, under Grant TEC2014-52690-R.Soler Fernández, D.; Salandin, A.; Micó, JC. (2018). Lowest thermal transmittance of an external wall under budget,material and thickness restrictions: An integer linear programming approach. Energy and Buildings. 158:222-233. https://doi.org/10.1016/j.enbuild.2017.09.078S22223315

A System Dynamics model to predict the impact of COVID-19 in Spain

Sanz, MT.; Caselles, A.; Micó, JC.; Soler, C. (2020). A System Dynamics model to predict the impact of COVID-19 in Spain. 146-151. http://hdl.handle.net/10251/178213S14615

Biology and personality: a mathematical approach to the body-mind problem

[EN] Purpose ¿ The purpose of this paper is to investigate the body-mind problem from a mathematical invariance principle in relation to personality dynamics in the psychological and the biological levels of description. Design/methodology/approach ¿ The relationship between the two mentioned levels of description is provided by two mathematical models as follows: the response model and the bridge model. The response model (an integro-differential equation) is capable to reproduce the personality dynamics as a consequence of a determined stimulus. The invariance principle asserts that the response model can reproduce personality dynamics at the two levels of description. The bridge model (a second-order partial differential equation) can be deduced as a consequence of this principle: it provides the co-evolution of the general factor of personality (GFP) (mind), the it is an immediate early gene (c-fos) and D3 dopamine receptor gene (DRD3) gens and the glutamate neurotransmitter (body). Findings ¿ An application case is presented by setting up two experimental designs: a previous pilot AB pseudo-experimental design (AB) pseudo-experimental design with one subject and a subsequent ABC experimental design (ABC) experimental design with another subject. The stimulus used is the stimulant drug methylphenidate. The response and bridge models are validated with the outcomes of these experiments. Originality/value ¿ The mathematical approach here presented is based on a holistic personality model developed in the past few years: the unique trait personality theory, which claims for a single personality trait to understand the overall human personality: the GFP. Keywords Integro-differential equation, Body-mind problem, Bridge model, General factor of personality, Response model, Second-order partial differential equation, c-fos, DRD3, Glutamate, Methylphenidate Paper type Research paperMicó, JC.; Amigó, S.; Caselles, A.; Romero, PD. (2021). Biology and personality: a mathematical approach to the body-mind problem. Kybernetes. 50(5):1566-1587. https://doi.org/10.1108/K-03-2020-0138S1566158750

A Methodology for Modeling and Optimizing Social Systems

[EN] A system methodology for modeling and optimizing social systems is presented. It allows constructing dynamical models formulated stochastically, i.e., their results are given by confidence intervals. The models provide optimal intervention ways to reach the stated objectives. Two optimization methods are used: (1) to test strategies and scenarios and (2) to optimize with a genetic algorithm. The application case presented is a small nonformal education Spanish business. First, the model is validated in the 2008-2012 period, and subsequently, the optimal way to obtain a maximum profit in the 2013-2025 period is obtained using the two methods.Caselles, A.; Soler Fernández, D.; Sanz, MT.; Micó, JC. (2020). A Methodology for Modeling and Optimizing Social Systems. Cybernetics & Systems. 51(3):265-314. https://doi.org/10.1080/01969722.2019.1684042S265314513Caselles, A. 1993. System Decomposition and Coupling. Cybernetics and Systems: An International Journal 24 (4):305–323. doi:10.1080/01969729308961712.CASELLES, A. (1994). IMPROVEMENTS IN THE SYSTEMS-BASED MODELS GENERATOR SIGEM. Cybernetics and Systems, 25(1), 81-103. doi:10.1080/01969729408902317Caselles, A., Soler, D., Sanz, M. T., & Micó, J. C. (2014). SIMULATING DEMOGRAPHY AND HUMAN DEVELOPMENT DYNAMICS. Cybernetics and Systems, 45(6), 465-485. doi:10.1080/01969722.2014.929347Djidjeli, K., Price, W. G., Temarel, P., & Twizell, E. H. (1998). Partially implicit schemes for the numerical solutions of some non-linear differential equations. Applied Mathematics and Computation, 96(2-3), 177-207. doi:10.1016/s0096-3003(97)10133-3Gutiérrez, M. M. and H. P. Leone. 2012. DE2M: An environment for developing distributed and executable enterprise models. Advances in Engineering Software 47:80–103. doi:10.1016/j.advengsoft.2011.12.002.SANZ, M. T., MICÓ, J. C., CASELLES, A., & SOLER, D. (2014). A Stochastic Model for Population and Well-Being Dynamics. The Journal of Mathematical Sociology, 38(2), 75-94. doi:10.1080/0022250x.2011.629064Sanz, M. T., Caselles, A., Micó, J. C., & Soler, D. (2016). Including an environmental quality index in a demographic model. International Journal of Global Warming, 9(3), 362. doi:10.1504/ijgw.2016.075448Shannon, R., & Johannes, J. D. (1976). Systems Simulation: The Art and Science. IEEE Transactions on Systems, Man, and Cybernetics, SMC-6(10), 723-724. doi:10.1109/tsmc.1976.430943

El origen de los trastornos mentales : un nuevo enfoque desde el estudio de la dinámica de la personalidad

Cada vez hay un mayor consenso en las ciencias de la salud mental (psicología, psiquiatría) en cuanto a que no hay una línea divisoria clara entre la personalidad ?normal? y la personalidad ?anormal? o los trastornos mentales. De hecho, los rasgos básicos de personalidad predisponen o se solapan con los trastornos clínicos mentales. Por ejemplo, el Neuroticismo, como factor que predispone a las neurosis, predispone a padecer trastornos de ansiedad, depresión y obsesivos. Esta cuestión sirve para presentar un resumen del trabajo de nuestro grupo (Antonio Caselles, Joan C. Micó y Salvador Amigó) y señalar futuras investigaciones. Así, tras repasar nuestros estudios sobre la dinámica del Factor General de Personalidad (FGP) y su sustrato biológico, el sistema de estrés, en respuesta a estímulos ambientales, como son las drogas, proponemos que los mismos mecanismos que habíamos encontrado, sirven para explicar el origen de los diferentes trastornos mentales, tomando como condición inicial el nivel de FGP. De esta manera, nos adentramos en la comprensión global y sistémica del individuo, que no sólo busca encontrar los mecanismos que explican el comportamiento humano, sino también los que determinan su salud o enfermedad mental

Dynamics of the general factor of personality: A predictor mathematical tool of alcohol misuse

[EN] There are few studies developed about the general factor of personality (GFP) dynamics. This paper uses a dynamical mathematical model, the response model, to predict the short-term effects of a dose of alcohol on GFP and reports the results of an alcohol intake experiment. The GFP dynamical mechanism of change is based on the unique trait personality theory (UTPT). This theory proposes the existence of GFP, which occupies the apex of the hierarchy of personality. An experiment with 37 volunteers was performed. All the participants completed The five-adjective scale of the general factor of personality (GFP-FAS) in trait-format (GFP-T) and state-format (GFP-S) before alcohol consumption. The participants in the experimental group (28) received 26.51 g of alcohol and a slight food, while the participants in the control group (9) just received the food. Every participant filled the GFP-S each 7 minutes. The results show that GFP is modified by a single dose of alcohol: both the high scores of GFP-T and the high scores of GFP-S explain the most part of the alcohol impact. Moreover, they prove that the response model calibration to the GFP-S scores reproduces the biphasic GFP dynamics as a consequence of an alcohol dose intake described by the literature. In fact, the results also demonstrate that the response model provides the UTPT prediction: the high scores of GFP-T predict a stronger stimulant-like effect and a stronger inhibitor effect. Thus, the response model is a useful mathematical tool to predict those individuals inclined to the alcohol misuse.Amigó, S.; Caselles, A.; Micó, JC.; Sanz, MT.; Soler Fernández, D. (2020). Dynamics of the general factor of personality: A predictor mathematical tool of alcohol misuse. Mathematical Methods in the Applied Sciences. 43(14):8116-8135. https://doi.org/10.1002/mma.6218S811681354314Malouff, J. M., Thorsteinsson, E. B., Rooke, S. E., & Schutte, N. S. (2007). Alcohol Involvement and the Five-Factor Model of Personality: A Meta-Analysis. Journal of Drug Education, 37(3), 277-294. doi:10.2190/de.37.3.dSher, K. J., & Trull, T. J. (1994). Personality and disinhibitory psychopathology: Alcoholism and antisocial personality disorder. Journal of Abnormal Psychology, 103(1), 92-102. doi:10.1037/0021-843x.103.1.92Koob, G. F., & Weiss, F. (1990). Pharmacology of drug self-administration. Alcohol, 7(3), 193-197. doi:10.1016/0741-8329(90)90004-vStewart, J., de Wit, H., & Eikelboom, R. (1984). Role of unconditioned and conditioned drug effects in the self-administration of opiates and stimulants. Psychological Review, 91(2), 251-268. doi:10.1037/0033-295x.91.2.251AmigóS.La teoría del rasgo único de personalidad. Hacia una teoría unificada del cerebro y la conducta (The unique‐trait personality theory. Towards a unified theory of brain and conduct). Ed. Universitat Politècnica de València 2005.Amigó, S., Caselles, A., & Micó, J. C. (2010). General Factor of Personality Questionnaire (GFPQ): Only one Factor to Understand Personality? The Spanish journal of psychology, 13(1), 5-17. doi:10.1017/s1138741600003644Erdle, S., Irwing, P., Rushton, J. P., & Park, J. (2010). The General Factor of Personality and its relation to Self-Esteem in 628,640 Internet respondents. Personality and Individual Differences, 48(3), 343-346. doi:10.1016/j.paid.2009.09.004Musek, J. (2007). A general factor of personality: Evidence for the Big One in the five-factor model. Journal of Research in Personality, 41(6), 1213-1233. doi:10.1016/j.jrp.2007.02.003Rushton, J. P., Bons, T. A., & Hur, Y.-M. (2008). The genetics and evolution of the general factor of personality. Journal of Research in Personality, 42(5), 1173-1185. doi:10.1016/j.jrp.2008.03.002Rushton, J. P., & Irwing, P. (2008). A General Factor of Personality (GFP) from two meta-analyses of the Big Five: and. Personality and Individual Differences, 45(7), 679-683. doi:10.1016/j.paid.2008.07.015Rushton, J. P., & Irwing, P. (2009). A general factor of personality in the Comrey Personality Scales, the Minnesota Multiphasic Personality Inventory-2, and the Multicultural Personality Questionnaire. Personality and Individual Differences, 46(4), 437-442. doi:10.1016/j.paid.2008.11.015Rushton, J. P., & Irwing, P. (2009). A General Factor of Personality (GFP) from the Multidimensional Personality Questionnaire. Personality and Individual Differences, 47(6), 571-576. doi:10.1016/j.paid.2009.05.011Schermer, J. A., & Vernon, P. A. (2010). The correlation between general intelligence (g), a general factor of personality (GFP), and social desirability. Personality and Individual Differences, 48(2), 187-189. doi:10.1016/j.paid.2009.10.003Van der Linden, D., Figueredo, A. J., de Leeuw, R. N. H., Scholte, R. H. J., & Engels, R. C. M. E. (2012). The General Factor of Personality (GFP) and parental support: testing a prediction from Life History Theory. Evolution and Human Behavior, 33(5), 537-546. doi:10.1016/j.evolhumbehav.2012.01.007Van der Linden, D., Tsaousis, I., & Petrides, K. V. (2012). Overlap between General Factors of Personality in the Big Five, Giant Three, and trait emotional intelligence. Personality and Individual Differences, 53(3), 175-179. doi:10.1016/j.paid.2012.03.001Veselka, L., Schermer, J. A., Petrides, K. V., Cherkas, L. F., Spector, T. D., & Vernon, P. A. (2009). A General Factor of Personality: Evidence from the HEXACO Model and a Measure of Trait Emotional Intelligence. Twin Research and Human Genetics, 12(5), 420-424. doi:10.1375/twin.12.5.420Caselles, A., Micó, J. C., & Amigó, S. (2010). Cocaine addiction and personality: A mathematical model. British Journal of Mathematical and Statistical Psychology, 63(2), 449-480. doi:10.1348/000711009x470768AmigóS MicóJC CasellesA.Adjective scale of the unique personality trait: measure of personality as an overall and complete system. Proc. 7th Congr. Eur. Syst. Union Lisboa;2008.Amigó, S., Caselles, A., & Micó, J. C. (2013). Self-Regulation Therapy to Reproduce Drug Effects:A Suggestion Technique to Change Personality and theDRD3Gene Expression. International Journal of Clinical and Experimental Hypnosis, 61(3), 282-304. doi:10.1080/00207144.2013.784094Micó, J. C., Amigó, S., & Caselles, A. (2012). Changing the General Factor of Personality and the c-fos Gene Expression with Methylphenidate and Self-Regulation Therapy. The Spanish journal of psychology, 15(2), 850-867. doi:10.5209/rev_sjop.2012.v15.n2.38896Micó, J. C., Caselles, A., Amigó, S., Cotolí, A., & Sanz, M. T. (2013). A Mathematical Approach to the Body-Mind Problem from a System Personality Theory (A Systems Approach to the Body-Mind Problem). Systems Research and Behavioral Science, 30(6), 735-749. doi:10.1002/sres.2241Caselles, A., Micó, J. C., & Amigó, S. (2011). Dynamics of the General Factor of Personality in Response to a Single Dose of Caffeine. The Spanish journal of psychology, 14(2), 675-692. doi:10.5209/rev_sjop.2011.v14.n2.16Micó, J. C., Amigó, S., & Caselles, A. (2014). From the Big Five to the General Factor of Personality: a Dynamic Approach. The Spanish Journal of Psychology, 17. doi:10.1017/sjp.2014.71Grossberg, S. (2000). The imbalanced brain: from normal behavior to schizophrenia. Biological Psychiatry, 48(2), 81-98. doi:10.1016/s0006-3223(00)00903-3Newlin, D. B., & Thomson, J. B. (1990). Alcohol challenge with sons of alcoholics: A critical review and analysis. Psychological Bulletin, 108(3), 383-402. doi:10.1037/0033-2909.108.3.383Martin, C. S., Earleywine, M., Musty, R. E., Perrine, M. W., & Swift, R. M. (1993). Development and Validation of the Biphasic Alcohol Effects Scale. Alcoholism: Clinical and Experimental Research, 17(1), 140-146. doi:10.1111/j.1530-0277.1993.tb00739.xRueger, S. Y., McNamara, P. J., & King, A. C. (2009). Expanding the Utility of the Biphasic Alcohol Effects Scale (BAES) and Initial Psychometric Support for the Brief-BAES (B-BAES). Alcoholism: Clinical and Experimental Research, 33(5), 916-924. doi:10.1111/j.1530-0277.2009.00914.xRueger, S. Y., & King, A. C. (2012). Validation of the Brief Biphasic Alcohol Effects Scale (B-BAES). Alcoholism: Clinical and Experimental Research, 37(3), 470-476. doi:10.1111/j.1530-0277.2012.01941.xDavidson, D., Hutchison, K., Dagon, C., & Swift, R. (2002). Assessing the stimulant effects of alcohol in humans. Pharmacology Biochemistry and Behavior, 72(1-2), 151-156. doi:10.1016/s0091-3057(01)00758-4Chutuape, M. A. D., & De Wit, H. (1994). Relationship between subjective effects and drug preferences: ethanol and diazepam. Drug and Alcohol Dependence, 34(3), 243-251. doi:10.1016/0376-8716(94)90163-5Wit, H., Uhlenhuth, E. H., Pierri, J., & Johanson, C. E. (1987). Individual Differences in Behavioral and Subjective Responses to Alcohol. Alcoholism: Clinical and Experimental Research, 11(1), 52-59. doi:10.1111/j.1530-0277.1987.tb01263.xDe Wit, H., Pierri, J., & Johanson, C. E. (1989). Assessing pentobarbital preference in normal volunteers using a cumulative dosing procedure. Psychopharmacology, 99(3), 416-421. doi:10.1007/bf00445569Duka, T., Stephens, D. N., Russell, C., & Tasker, R. (1998). Discriminative stimulus properties of low doses of ethanol in humans. Psychopharmacology, 136(4), 379-389. doi:10.1007/s002130050581Wise, R. A., & Bozarth, M. A. (1987). A psychomotor stimulant theory of addiction. Psychological Review, 94(4), 469-492. doi:10.1037/0033-295x.94.4.469Holdstock, L., King, A. C., & Wit, H. (2000). Subjective and Objective Responses to Ethanol in Moderate/Heavy and Light Social Drinkers. Alcoholism: Clinical and Experimental Research, 24(6), 789-794. doi:10.1111/j.1530-0277.2000.tb02057.xHittner, J. B., & Swickert, R. (2006). Sensation seeking and alcohol use: A meta-analytic review. Addictive Behaviors, 31(8), 1383-1401. doi:10.1016/j.addbeh.2005.11.004Ray, L. A., McGeary, J., Marshall, E., & Hutchison, K. E. (2006). Risk factors for alcohol misuse: Examining heart rate reactivity to alcohol, alcohol sensitivity, and personality constructs. Addictive Behaviors, 31(11), 1959-1973. doi:10.1016/j.addbeh.2006.01.010Fillmore, M. T., Ostling, E. W., Martin, C. A., & Kelly, T. H. (2009). Acute effects of alcohol on inhibitory control and information processing in high and low sensation-seekers. Drug and Alcohol Dependence, 100(1-2), 91-99. doi:10.1016/j.drugalcdep.2008.09.007Fillmore, M. T. (2001). 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Chanching the externalizing and internalizing spectrum of personality with self-regultaion therapy

[EN] This article presents an integrator model of changes in the externalizing and internalizing factors of personality grouped in the General Factor of Personality (GFP), based on the Unique Trait Personality Theory (UTPT) [1]. This theory proposes that a continuum exists between personality and psychopathology, as well as the existence of a GFP that occupies the apex of the hierarchy of personality, and extends from an impulsiveness-and-aggressiveness pole (externalizing spectrum) to an anxiety-and-introversion pole (internalizing spectrum). With an experimental intra-group design, 30 regular users of stimulant drugs (cocaine and amphetamine) used the Self-Regulation Therapy (SRT). The SRT is a psychological procedure based on classic conditioning and suggestion used to experience a relaxation effect after the first session, and a stimulation effect during the second session. This stimulation is achieved by reproducing, by the SRT, the sensations produced by stimulant drugs. Effects were recorded on format-state scales of personality adjectives and activation, which represented both externalizing and internalizing factors. The results showed that both relaxation and stimulation, by imitating the effects of drugs, brought about short-term changes in both the GFP, and the externalizing and internalizing factors, and also in the predicted direction, i.e., changes in global personality.Amigó Borrás, S.; Micó, JC.; Caselles Moncho, A. (2018). Chanching the externalizing and internalizing spectrum of personality with self-regultaion therapy. Revista Internacional de Sistemas. 22:22-28. http://hdl.handle.net/10251/123856S22282

The capacitated general windy routing problem with turn penalties

In this paper we present the capacitated general windy routing problem with turn penalties. This new problem subsumes many important and well-known arc and node routing problems, and it takes into account turn penalties and forbidden turns, which are crucial in many real-life applications, particularly in downtown areas and for large vehicles. We provide a way to solve this problem both optimally and heuristically by transforming it into a generalized vehicle routing problem. © 2011 Elsevier B.V. All rights reserved.This work has been partially supported by the Ministerio de Educacion y Ciencia of Spain (project TIN2008-06441-C02-01). We are also indebted to the two anonymous referees for their valuable comments.Micó Ruiz, JC.; Soler Fernández, D. (2011). The capacitated general windy routing problem with turn penalties. Operations Research Letters. 39(4):265-271. https://doi.org/10.1016/j.orl.2011.04.007S26527139