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De un escritor "único y distintivo" (Kyle Idleman) que "nos hace apreciar la grandeza y la magnificencia del evangelio" (JI Packer) viene una advertencia sobre cómo el "padre de la mentira" intenta engañarnos, empaquetando ideas destructivas en forma de verdad espiritual.

No todas las mentiras suenan falsas. Algunas simplemente suenan bien. Y algunas se repiten tan a menudo que virtualmente se convierten en "conocimiento común". Esto es lo que hace que las mentiras acerca de Dios sean tan peligrosas. Entonces, tenemos que preguntar: ¿qué querría el enemigo de Dios que creamos para desviarnos? ¿ Y nos daríamos cuenta de lo que está pasando?

El galardonado escritor y pastor Jared C. Wilson nos trae esta fascinante e iluminadora exploración de las formas populares y muchas veces agradables en que la oscuridad espiritual se hace pasar por luz. Con perspicacia, humor cálido y el corazón de un pastor, Jared Wilson examina ocho líneas populares con demasiados cristianos (ocho mentiras que el enemigo quiere que creamos) y brinda ocho líneas de contraataque para ayudarnos a recuperar el equilibrio. Wilson menciona las mentiras, incluyendo "Dios solo quiere que seas feliz", "Solo vives una vez" y "Deja ir y deja que Dios", y luego revela por qué nos atraen, nos muestra cómo nos hacen daño y nos proporciona formas para contrarrestarlas. Podemos renunciar al evangelio falso de Satanás, pero primero debemos verlo por lo que es. Jared Wilson nos muestra cómo.

Las organizaciones saludables precisan líderes saludables y de óptimo nivel. En un entorno cada vez más complejo y competitivo, los líderes necesitan estar a la vanguardia.
Los líderes exitosos entienden el mundo de las relaciones. El “factor gente” es de vital importancia para su competencia y enfoque. Dos problemas ralentizan su eficacia:
Los líderes son los “originadores” de la mayoría de sus relaciones; es decir que lideran, guían, dirigen, desarrollan, asesoran, entrenan y alientan a aquellos en sus vidas. Si bien ser originadores beneficia a otros, desafortunadamente están en desequilibrio respecto de ser los “destinatarios” o receptores. Tienen muy pocas relaciones clave que los favorezcan, lo que respalda su crecimiento y desarrollo, y en las que pueden sentirse plenamente conocidos y comprendidos.
Los líderes gastan demasiada energía con las personas equivocadas. Por naturaleza, son solucionadores de problemas, y emplean su tiempo y atención en las personas que los desgastan. Todo líder puede identificarse con esa “persona del proyecto” que se ha puesto al hombro para intentar corregir, orientar, ayudar, rescatar o reparar, y en la que a veces desperdician su energía durante años, solo para darse cuenta de que no fue un tiempo bien empleado.
Los líderes están patas para arriba en sus relaciones, y este libro los ayudará a pararse derechos, enseñándoles sobre estos siete tipos de personas: coaches, camaradas, colegas, relaciones casuales, de cuidado, crónicas y contaminantes.
Todo líder necesita cobrar perspectiva y tener a mano herramientas que le ayuden a saber invertir su tiempo sabiamente con las personas adecuadas y evitar las incorrectas. Con esa comprensión y habilidades, se evitarán muchos problemas en el trabajo y en la vida, como ser un funcionamiento cerebral más bajo, pérdida de energía, conflictos de relación, malas decisiones, problemas de concentración, de salud y luchas mentales.

¿Conoces a alguien soltero? ¿Eres tú soltero? Mejor dicho, ¿eres plenamente soltero? Ya sea que estés comprometido, en una relación de noviazgo o seas un soltero que busca relacionarse, es importante que respondas de forma sincera y en oración. Dios desea que seamos plenos, especialmente antes de embarcarnos en una relación seria. Una de las razones por las que las relaciones duran poco tiempo o son largas y dolorosas es porque nosotros, como sociedad, no buscamos iniciar una relación siendo plenos en nuestra soltería. Este libro nos muestra a Adán como un hombre pleno y soltero mientras se relaciona con Dios, antes de siquiera saber que necesitaba a Eva. Cuando comencemos a buscar la soltería de todo corazón, nuestras relaciones comenzarán a florecer como Dios lo quiso en un principio. Este libro te ayudará a reconocer las áreas que están impidiendo que seas pleno y soltero. Te ayudará a aceptar el plan de Dios para tu soltería y a aplicar principios bíblicos para alinear tu conducta con Su plan. Los matrimonios también pueden beneficiarse de este libro, porque podrán identificar los límites que pueden haber transgredido antes y después de dar el sí, lo que les permitirá llegar a la raíz de las contiendas en su relación. Amigos, volvamos a los fundamentos de los principios bíblicos que yacen en la primera relación de la humanidad mientras procuramos ser #PlenamenteSolteros.

Abstract
This article presents 24-h wind speed forecasting for the city of La Serena in Chile and a methodology to explore forecasting effects on the production of wind turbine power. To that end, we used meteorological data from a weather station located in the southern zone of the hyper-arid Atacama Desert. In this area, energy resources are economically and environmentally important, and wind speed forecasting plays a vital role in the management and marketing processes of wind potential via wind farms. To contribute to the development of this energy, we propose carrying out the short-term prediction of 12 and 24 h ahead (identified as Ws(t + 12) and Ws(t + 24), respectively) using an artificial neural network with backpropagation approach. Hourly time series of wind speed, temperature, and relative humidity (from 2003 to 2006) were considered to characterize the artificial neural network in the training phase, while we used data from the year 2007 to check the efficiency of our prediction. For artificial neural network Ws(t + 12) and Ws(t + 24) models, we obtained similar performance of wind speed prediction with root mean square error of around 0.7 m s−1 and with maximum and minimum residuals of +4 and ‒4 m s−1, respectively. Based on the results, we gain a reliable tool to characterize wind speed properties in the range of 1 day within 20% of uncertainty. Moreover, this tool becomes useful to study the effects of our artificial neural network Ws(t + 12) and Ws(t + 24) models on the generation of wind energy from a wind power turbine parametrization.

3.3. Results
Figure 3 shows a comparison between real (solid line) and calculated values (dots) for the Dst index that were
obtained by using the proposed ANN+PSO method. It also shows a comparison during the training phase between correlated values and real values for Dst(t+d) (by containing 116,880 hourly data points from 00 UT on 1 January 1990 to 23 UT on 2 May 2003 for the learning process, and 58,440 hourly data points from 00 UT on 3 May 2003 to 23 UT on 31 December 2009 for the validation process). Figures 3a to 3f show the cases from Dst((t + 1) to (t + 6)), respectively. In these cases the correlation coefficient R (equation (4) decreases from 0.98 to 0.89 (expected to be 1.0), while the slope m for the curve varies from 1.1 to 0.9 (also expected to be 1.0). Note that the high values of R show that the proposed method trained the ANN correctly.
Once ANN training was complete, the optimum ANN weights were obtained. ANN weights represent the
network solutions for the studied problem [Lazzús et al., 2014]. Tables S1 to S6 show the optimum weights
determined by the hybrid algorithm ANN+PSO for forecasting the Dst index (see supporting information).
Figure 4 presents a similar comparison with Figure 3 between real and calculated values for the Dst index
obtained via ANN+PSO method during the prediction phase by the testing set (with 58,440 hourly data points
from 00 UT on 1 January 2010 to 23 UT on 31 August 2016). To clarify, all data used by the testing set were
not used during the training step. Figures 4a to 4f show the ANN prediction capability for cases Dst((t + 1) to
(t + 6)), respectively. These cases show similar results to Figure 3 and show that the proposed technique can
forecast the Dst index with good accuracy.
Table 3 summarizes the statistical results obtained in the forecast of Dst ((t + 1) to (t + 6)) using the selected
input vectors (equations (9) to (14), respectively) via performance analysis of ANN+PSO (see Figure S4 in the
supporting information). In this table, RMSE is the root-mean-square error (equation (2), R is the correlation
coefficient (equation (4), and MAE is the average absolute relative deviation (equation (3). Additionally, the last column in this table contains the correlation coefficient obtained by the persistence method (Rpers). Clearly, RMSE and MAE increase with the time ahead, while R decreases when the time ahead progress from 1 to 6 h.
Note that the learning set has a greater number of geomagnetic storms than the validation set, as well as a greater number of storms than the test set. Similarly, the learning set has higher Dstpeak than the validation
set and the test set (see Figure S2 in the supporting information). The results show that the increasing or
decreasing values of the statistical deviations agree with the characteristics of each set such as the number of
intense geomagnetic storms and the number of minimum Dst peak (see Tables 2 and 3).

Introduction
An ionic liquid (ILs) can be dened as any liquid composed of ions, whether organic salts or molten salts. However, the term "ionic liquid" is currently associated to salts in liquid state at room temperature (lower than 100° C). An IL consists of a big organic cation and a smaller inorganic anion [1]. The most suitable combination for a specic IL to be adapted to a certain application demands can be chosen from the above denition. Thus, an ionic liquid designed can have a main component, i.e. a cation, determining chemical behaviour, and another component, i.e. an anion, providing most of physical properties [2], so the physical and chemical properties of ILs depend on its combination of ions [3].
ILs offer a new range of technological possibilities, therefore knowledge of ILs physical and chemical properties is considerably important for its various applications [4]. Currently, a series of efforts has been made for providing a better access to ionic liquids property data [5]. However, all of these efforts are still insufficient, so new methods for property estimation that reduce experimental costs and may be applied to a variety of ILs, are required [6]. In this context, this study introduces a new method for estimating ionic liquid viscosity at different temperatures using an articial neural network optimized by a particle swarm algorithm for updating network synaptic weights, resulting in an ANN+PSO hybrid algorithm.
In physics, viscosity (η) is described as a fluids internal resistance to flow, but it should be described as a friction measurement [7]. For industrial applications, viscosity is a property affecting solute diffusion and important technical parameters for mixture operation and agitation as well as for fluid pumping. Due to its ionic nature, ionic fluids are much more viscous than conventional reaction media, which can bring adverse effects for some industrial applications such as pumping and mixing; however, viscosity can be fitted by adequately combining the cation and the anion in a way that the needed viscosity
would be designed [8].

The international community has drawn up an ambitious 2030 Agenda for Sustainable Development which objectives, goals and indicators have been agreed upon by all countries in Latin America and the Caribbean (LAC). The 2030 Agenda for Sustainable Development has an integrated focus on development, pursuing poverty eradication in all forms and dimensions, an inclusive and sustainable economic growth, the fight against inequality, earth preservation, and decent work for all men and women.
UNESCO, as an education-dedicated agency of the United Nations, agrees with the 2030 Agenda for Sustainable Development, particularly with the 2030 Agenda’s Sustainable Development Goal (SDG) 4 of “ensuring inclusive and equitable quality education and promote lifelong learning opportunities for all”. It also promotes the comprehensive and challenging 2030 Agenda on Education including Education for All (EFA)’s commitment to “leave no one behind”.
This new roadmap of the 2030 Agenda on Education, approved in Incheon in May 2015, defines a principal role for Technical and Vocational Education and Training (TVET) in the fulfilment of the aspirations proposed in the Agenda on Education. TVET goals are particularly aimed at contributing to an egalitarian access to quality TVET for men and women, vulnerable people, including the disabled and indigenous peoples, as well as increasing the number of young and adult people having technical and vocational skills for access to employment, decent work, and entrepreneurship, by promoting inclusive and sustainable economic growth and supporting a transition to green economies and environmental sustainability. As 2030 Agenda on Education is an integral part of the 2030 Agenda of the United Nations for Sustainable Development, TVET education goals are now global aspirations for all UN Country Members, challenging national TVET systems to contribute to Sustainable Development, which is capable of meeting present needs without compromising future generations’ capacity of fulfilling their own needs.
In order to support TVET prominence in the LAC region within the framework of the 2030 Agendas on Sustainable Development and Education, and based on global commitments, UNESCO Regional Bureau for Education in Latin America and The Caribbean (OREALC/UNESCO) prepared this document that analyses TVET existing challenges, revises TVET current state and proposes a set of region-specific guidelines towards 2030. Region-specific guidelines resulted from recognising TVET system diversity in terms of structure, institutionality, and governance in LAC countries and from recognising shared issues and challenges. Additionally, they are in line with UNESCO’s general strategy for 2016-2021 Technical and Vocational Education and Training, aimed at supporting Country Members’ efforts to increase their TVET systems’ relevance, provide all young and adult people with all necessary skills for employment, decent work, entrepreneurship, and lifelong learning, and contribute to the 2030 Agenda on Sustainable Development while conforming to ODS 4. The purpose of this document is to encourage and guide governments to work on comprehensive TVET policies that foster TVET’s ability to respond to multiple economic, social, and environmental requirements arising from this new scenario.

INTRODUCTION
Chile’s higher education encompasses three types of institutions: universities, professional institutes (institutos profesionales or IP), and technical training centers (centros de formación técnica or CFT). Unlike vocational and technical sectors in other Latin America countries where the tertiary level is dominated by universities with little space for vocational and technical institutions, Chile’s professional institutes and technical training centers now enroll 44 % of all students in higher education in the country. In this sector, almost all institutions are private and a significant majority of them is for-profit although the law requires universities to be organized as non-profit foundations or corporations.
This chapter traces Chile’s differentiated postsecondary system from the reform of the early 1980s to its configuration today. Midway in this 35-year period there was a turning point in the development of the non-university sector, resulting from the availability of financial aid to its students. The first section of this chapter describes the early evolution of the current system to the end of the last century. The second
section provides an account of the expansion cycle of professional institutes (IP) and technical training centers (CFT) enrollments following the extension of government scholarships and subsidized loans to students in non-university postsecondary institutions. The final section offers a reflection of the challenges of differentiation and the sustainability of the diverse missions of universities, IPs and CFTs, taking into
consideration quality assurance, relationship with industry, and current policy developments in Chile.

Introduction
Chaos theory is one of the most important achievements in the nonlinear system research field [1]. In recent years, nonlinear systems have drawn considerable attention to describe several phenomena related to both complex and dynamical systems [2]. In this context, partial differential equations have played an important role in the characterization of these phenomena, allowing to compare experiment with theory. Although information about the physical properties for many of these systems is available, not all dynamical parameters are usually known, and therefore they need to be estimated [3].
Parameter estimation for chaotic systems is an important issue in non-linear science (such as signal processing and control theory), which has attracted increasing interest in various research fields and which could be essentially formulated as a multidimensional optimization problem [4]. So far, different kinds of classical techniques have been developed to handle these problems [3]. Among them, the meta-heuristic based methods (such as the genetic algorithm, the particle swarm optimization algorithm, and the differential evolution algorithm) are some of the most popular methods used to formulate the parameter estimation problem as a multidimensional optimization problem [5].
The study of the parameter estimation problem has a long history, and it has been carried out with emphasis on the Lorenz chaotic system. This system is the first chaotic attractor in a three-dimensional autonomous system, and it was proposed by Lorenz in 1963 when he was studying atmospheric convection [6]. In the last years, different meta-heuristic algorithms have been proposed for parameter estimation on this system. In this way, Dai et al. [7] used a genetic algorithm (GA) to estimate parameters of Lorenz system (but one-dimensional parameter estimation was only taken into consideration). He et al. [4] proposed a particle swarm optimization (PSO) for estimating parameters of this system. Later, Gao et al. [8] used a similar PSO approach. In other approaches on Lorenz system, Gao et al. [9] used a novel quantum-behaved particle swarm optimization (NQPSO). Yang et al. [10] applied a quantum-behaved particle swarm optimization (QPSO). Sun et al. [11] proposed a variant of PSO called drift particle swarm optimization (DPSO). Modares et al. [12] applied an improved particle swarm optimization (IPSO). Alfi [3] introduced a novel adaptive particle swarm optimization (APSO) combining an adaptive mutation mechanism and a dynamic inertia weight into the conventional PSO algorithm. Alfi [13] proposed a novel particle swarm optimization namely dynamic inertia weight PSO (DIW-PSO). Using the most recently introduced swarm-based algorithms, Li et al. [14] and Peng et al. [15] used a newly biologically inspired search algorithm called chaotic ant swarm (CAS). Gao et al. [16] proposed a novel artificial bee colony algorithm (ABC), with an optimization technique based on the foraging behavior of honeybees. Li and Yin [5] combined the stochastic exploration of the cuckoo search and the exploitation capability of the orthogonal learning strategy (OLCS). Using evolutionary algorithm, Chan et al. [17] applied an evolutionary programming (EP) approach. Peng et al. [18], and Banerjee and Abu-Mahfouz [19] used a differential evolution algorithm (DE). Wang and Li [20] used an effective hybrid quantum-inspired evolutionary algorithm with differential evolution (HQEDE). Li et al. [21] introduced a chaotic gravitational search algorithm (CGSA). Additionally, Palaniyandi and Lakshmanan [22] introduced a simple method to estimate the system parameters in continuous dynamical systems from their time series in another approaches. Huang et al. [23] proposed an adaptive controller with parameters identification based on Lyapunov stabilization theory. Zhao et al. [24] used an adaptive feed-back controlling method to identify uncertain parameters for this chaotic system.
In this work, parameters estimation for chaotic systems is formulated as a multidimensional optimization problem, and a hybrid swarm algorithm based on particle swarm–ant colony optimization (PSO–ACO) is implemented to solve the problem. To the best of the authors' knowledge, this is the first research on a PSO–ACO algorithm to estimate parameters of Lorenz chaotic system. Numerical simulations based on this system and comparisons with results obtained by other methods demonstrate the effectiveness, efficiency and robustness of this hybrid swarm algorithm.

Introduction
The parameter estimation is highly significant in various scientific areas for the development of mathematical models that are based on parameters obtained from experimental data, which applies particularly to thermodynamic models [1]. The accurate prediction of physical properties on phase equilibrium is one of the most important applications for thermodynamic processes and it is where parameter estimation is required [2]. Particularly, an accurate prediction of phase equilibria of gas–solid mixtures is required for separation processes involving the so called supercritical fluid (SCF) [3].
Therefore, the best way to proceed is to adjust experimental data for a thermodynamic model that describe the gas–solid phase and to use the model obtained by the adjusted parameters for predicting the properties of these phases. However, the existing methods for solving the phase equilibrium only obtain local solutions. In several cases, optimum values for binary interaction parameters have been proven to be dependent on search interval and initial values [4]. Hence, it is necessary to develop new parameter optimization methods for creating global solutions and for determining the most suitable solution for a problem under a given set of restrictions associated with an objective function.
The current optimization problem lies, then, in an intelligent search issue where agents for determining an optimum value in a restricted search space can be used. This has led to modern optimization techniques, also known as meta-heuristic algorithms, that have caught great interest within the scientific community due to the great capacity of solving this kind of problem, and many other highly nonlinear problems [1].
In this work, twenty-two gas–solid binary systems containing supercritical CO2 + hydrocarbons were used for modeling the gas–solid equilibrium using a combined method including a thermodynamic model and a meta-heuristic algorithm. The Peng–Robinson (PR) equation of state [5] was used in the classical solubility equation. Additionally, the Wong–Sandler (WS) mixing rules [6] were used, and the van Laar model (VL) [7] was applied for calculating the excess Gibbs free energy in the mixing rules. Then, a variant of particle swarm optimization (PSO), called Frankenstein PSO [8] was implemented in order to minimize the difference between calculated and experimental solubility values.

Resumen
Este informe presenta una visión general del estado de implementación y del alcance de la educación integral en sexualidad (EIS) a nivel mundial. Se abordai nformación específica acerca del estado de la EIS en 48 países, la cual se ha generado a partir del análisis de recursos y estudios existentes. Además, se examina el cuerpo de evidencia sobre la EIS y la influencia positiva que ha ejercido sobre los resultados en el ámbito de la salud; se evalúa el apoyo político manifestado a la EIS y se investiga el efecto que han tenido las diferentes iniciativas mundiales y regionales en los diferentes países en cuanto a la impartición de la EIS en la práctica. Este estudio representa el primer informe periódico de una serie que tiene por objetivo, monitorear la implementación de la EIS a nivel mundial. La educación integral en sexualidad se ha definido como «un enfoque culturalmente relevante y apropiado a la edad del participante, que enseña sobre el sexo y las relaciones interpersonales a través del uso de información científicamente rigurosa, realista y sin prejuicios de valor» (UNESCO, 2009). En el mundo, la EIS se conoce con nombres distintos y su abordaje se da a partir de enfoque diferentes. El objetivo de la EIS es garantizar que los jóvenes reciban una educación integral en sexualidad que sea útil para la vida y que les permita adquirir conocimientos y habilidades para tomar decisiones respetuosas, sanas e intencionadas respecto de su sexualidad y sus relaciones. Los elementos centrales de los programas de la EIS comparten algunas similitudes: están firmemente cimentados en los Derechos Humanos, incluidos los derechos del niño y el empoderamiento de niñas, niños y jóvenes, y reflejan el concepto general de que la sexualidad es parte natural del desarrollo del ser humano. Para lograr una educación eficaz en sexualidad, ésta debe partir en la niñez, para luego desarrollarse en la adolescencia y en la edad adulta, y debe ofrecer habilidades y conocimiento adecuados para cada etapa de la vida mediante un cuidadoso proceso de adaptación progresiva por etapas, tal como cualquier otra asignatura del programa escolar. Existen pruebas claras de que la EIS ejerce un efecto positivo en la salud sexual y reproductiva (SSR), en particular, porque ayuda a disminuir los casos de infección de transmisión sexual (ITS) y el virus de inmunodeficiencia humano (VIH) y los embarazos precoces no planificados. La EIS ha permitido adquirir más conocimientos, mejorar la autoestima y cambiar la actitud, las normas de género y las normas sociales, además de forjar la autoeficacia. Esto es particularmente importante en la adolescencia, ya que estos jóvenes deben hacer la transición hacia la vida adulta. La eficacia de la educación sexual tiene mayor impacto cuando se incorporan contenidos sobre género y Derechos Humanos, y cuando existe un esfuerzo por expandir el acceso a una variedad de servicios y bienes de salud sexual y reproductiva de calidad para los jóvenes (Haberland, 2015). Existen pruebas que confirman que la educación sexual no precipita el inicio de la actividad sexual, sino que influye positivamente sobre la conducta sexual y aplaza el primer acto sexual, además de aumentar el uso del preservativo (UNESCO, 2009; Fonner et al., 2014). El impulso de la EIS a nivel mundial ha traído como consecuencia un mayor compromiso político internacional. En 2008, los Ministros de Educación y los Ministros de Salud de América Latina y el Caribe firmaron la Declaración Ministerial llamada «Prevenir con Educación», con la que se manifestó el compromiso de prestar servicios de salud y educación sexual.