New Model In Order Research Articles

Can the Museum Be an Agent of Social Change? A New Model of the Functioning of the Museum in the Twenty-First Century

A large group of scholars believe that, in the face of an increasing awareness of global challenges, the mission, role, values and responsibilities of museums as institutions require radical rethinking and transformation. In 2016, at an ICOM conference, Mário Moutinho suggested that the category of new museology be broadened towards sociomuseology as a school of thought, whose task is to integrate efforts to adapt museum structures to the present-day reality, to achieve a new level of autonomy for museums, and to open museums to the social context. The philosophical basis for this movement is the idea of participation, and its goal is to create a network of institutions, communities and individuals whose objective is sustainable local development. This approach to museum activism means modifying the tasks the museum undertakes as a civic institution, and the new model of its operation is aimed at real political, social and environmental change. The concept has met with criticism from researchers and museologists who believe that the museum should preserve its identity and focus on its traditional tasks. By giving examples of similar activity conducted by some Polish historical museums the author offers answers to the question of whether and to what extent museums in the twenty-first century can and should adopt this new model in order to truly influence their environment while, at the same time, preserving the functions of an institution whose role is to protect national heritage.

Innovating social work education in Chile: addressing the UN sustainable development goals, enhancing our profession

ABSTRACT This article describes and analyzes the process of designing and implementing a new social work curriculum in Chile, considering the many social-justice challenges and rapid changes that the country has experienced in recent years. At the center of this new curriculum, an innovative, pedagogical strategy called ‘Research and Development Nuclei’ seeks to address the 17 United Nations’ goals for sustainable development. This process involved social work students, faculty, agencies, and service users who worked collectively to generate a more inclusive and effective way to transform social problems in Chile and, potentially, other parts of Latin America. This article summarizes part of the history of the social work profession in Chile; describes some of the current characteristics of the social context, currently flagged by overlapped inequalities and high levels of mistrust toward institutions. In this context, we provide some examples of how the ‘Research and Development Nuclei’, our flagship innovation, are working to address some of the Global Goals as well as some shortcomings from the traditional way social work has been taught in the country. Finally, we discuss some limitations and challenges of this new model in order to consolidate its innovative character in social work education in Chile.

Weight profiles in cross-efficiency evaluation based on hypervolume maximization

In this paper, we propose and discuss a new model in order to obtain the weight profiles to be used in the calculation of cross-efficiency scores in Data Envelopment Analysis (DEA). In the standard DEA literature, total flexibility in the selection of weights has been strongly criticized due to the fact that some inputs and/or outputs may have no contribution (zero weights) to the efficiency scores. Although cross evaluation somewhat mitigates the effect of these unrealistic weighting schemes on the amalgamation of weights that standard DEA models produce, we propose a method that ensures strictly positive and balanced weights to be used in cross-efficiency evaluation. In particular, we propose an optimization model based on hypervolume maximization as a method for selecting a suitable weight profile for each evaluated unit to be used in cross-efficiency. The model is solved through Second-Order Cone Programming (SOCP). As a result, the solution obtained is unique and the Production Possibility Set (PPS) is not modified. Another advantage of the proposed method, among others, is that it does not need subjective expert opinions or full-dimension efficient facets of the polyhedral PPS, but if available, it can be easily incorporated into the model. The approach introduced is illustrated through a numerical example. We also present some theoretical results.

Le syndrome psycholinguistique traumatique (SPLIT)

Le syndrome psycholinguistique traumatique (SPLIT)

Optimized planning of repair works for pipelines in water distribution networks using genetic algorithm

AbstractOne of the main reasons for pipeline breakage and leakage is aging. This results in a decline in system efficiency, and associated levels of service, which in turn may endanger public health and safety. Since the most expensive and significant part of a water supply system is the distribution network, repair strategies are necessary to protect the value of the assets when a pipeline reaches the end of its useful life. Usually, repair works are taken as a reaction to the detection of a leak, pressure improvement and other factors that eventually results in an inefficient management of allocated funds. Therefore, a careful computational analysis should be performed to efficiently utilize the allocated budge. This paper presents a near‐optimized budget allocation model that is able to find the near‐optimal scheduling plan for renewal and/or replacement. The aim of this paper is to suggest a new model in order to minimize the number of breaks over a given planning horizon and the overall cost of repair of water distribution networks (WDNs), including indirect damage cost, direct damage cost, and failure repair cost while fulfilling functional requirements. The model will identify the pipe segment that needs replacement, time of replacement, and the necessary interventions that should be carried out for the network. It also identifies those pipelines that need repair. The solution is usually constrained by the yearly limited budget. The optimization procedure results in a solution alternative that decision‐makers could use for their operational requirements. The outcome of the developed model is validated based on the available leakage and breakage data from the city of Montreal database and an existing validated model. The model forecast that, in the next 20 years, 19.7% of the network will need open trench repair, 25.3% could be repaired using trenchless techniques, while 50.9% of the pipelines will remain intact.

Memory Protection Generative Adversarial Network (MPGAN): A Framework to Overcome the Forgetting of GANs Using Parameter Regularization Methods

Generative adversarial networks (GANs) suffer from catastrophic forgetting when learning multiple consecutive tasks. Parameter regularization methods that constrain the parameters of the new model in order to be close to the previous model through parameter importance are effective in overcoming forgetting. Many parameter regularization methods have been tried, but each of them is only suitable for limited types of neural networks. Aimed at GANs, this paper proposes a unified framework called Memory Protection GAN (MPGAN), in which many parametrization methods can be used to overcome forgetting. The proposed framework includes two modules: Protecting Weights in Generator and Controller. In order to incorporate parameter regularization methods into MPGAN, the Protecting Weights in Generator module encapsulates different parameter regularization methods into a “container”, and consolidates the most important parameters in the generator through a parameter regularization method selected from the container. In order to differentiate tasks, the Controller module creates unique tags for the tasks. Another problem with existing parameter regularization methods is their low accuracy in measuring parameter importance. These methods always rely on the first derivative of the output function, and ignore the second derivative. To assess parameter importance more accurately, a new parameter regularization method called Second Derivative Preserver (SDP), which takes advantage of the second derivative of the output function, is designed into MPGAN. Experiments demonstrate that MPGAN is applicable to multiple parameter regularization methods and that SDP achieves high accuracy in parameter importance.

The mediated live experience and the spatial reconfiguration of the sport act

The media-sport relation of interdependency has influenced both the commodity value of sport actors and events, as well as the mere sport experience. The present study focuses on the reconfiguration process of the spectatorship experience through media, addressing two of its central dimensions: the emotional and physical one. Along with the wide accessibility to sport events and a progressive grow of audiences, media provided a mediated live experience that ended up competing with the genuine live experience. Strongly related and dependent on the technological changes and the dynamics of the globalization process, media went beyond simply transmitting the sport event, engaging in a process of redefining it. In doing so, they generated a deterritorialized laboratory sport experience, “hotting-up” the spectatorship experience and minimizing the perceptual constrains. This, in turn, ended up by making this media-sport hyperreality more appealing than the genuine live experience of sport acts. In addressing the spatial reconfiguration of the spectatorship experience, I have built up a new model in order to better respond to the primacy of connectivity over the space-dependent experience of sport acts: the scattering model of sport spectatorship. Moreover, I discuss the mixture of the private and public zones as a strategic way of maximizing the accessibility and customization of sport media-products, inside the wider process of sport commodification.

Monte Carlo Simulation on the Phase Transition of Animal Group

In this work, we proposed a new model in order to study the phase transition behaviour of animal group. The individuals in the group are considered as the XY spins which can move freely in a plane with the same speed. For the interactions between every pairs of the individuals, we used the Hamiltonian of the system in the model of spin current with including a long-range Morse potential. Using the Monte-Carlo simulation technique, we obtained the main parameters of the model: the averaged velocity of all individuals which is equivalent to the order parameter or magnetization for the spin model, and the concentration of the individuals. The simulation result clearly shows that the system has three phases which correspond to the uncollected, flocking (schooling) and runaway behaviors at very low, medium and high noise, respectively. The simulation predictions are in good agreement with experimental observations.

Multiple trapping on a comb structure as a model of electron transport in disordered nanostructured semiconductors

A model of dispersive transport in disordered nanostructured semiconductors has been proposed taking into account the percolation structure of a sample and joint action of several mechanisms. Topological and energy disorders have been simultaneously taken into account within the multiple trapping model on a comb structure modeling the percolation character of trajectories. The joint action of several mechanisms has been described within random walks with a mixture of waiting time distributions. Integral transport equations with fractional derivatives have been obtained for an arbitrary density of localized states. The kinetics of the transient current has been calculated within the proposed new model in order to analyze time-of-flight experiments for nanostructured semiconductors.

Avaliação de uma experiência de aplicação de simulação empresarial em uma universidade do sudoeste europeu

O presente artigo teve como objetivo avaliar uma experiência de simulação empresarial a partir de três dimensões: funcionamento operacional do Jogo, o método de ensino através da simulação com Jogos de Empresa, e a aprendizagem do aluno. A aplicação da simulação ocorreu em duas turmas de graduação em Administração em uma Universidade Portuguesa. A partir dos resultados, pode-se inferir que a prática da simulação empresarial levou ao incremento da base teórica aos alunos, bem como se concluiu que o ato de jogar é positivo, e pode servir de apoio à aprendizagem. Ao final, sugestões foram apontadas visando ao aperfeiçoamento do novo modelo, a fim de consolidar uma ferramenta que contribua no processo de ensino-aprendizagem em Administração.

Strength Theory Model of Unsaturated Soils with Suction Stress Concept

A theoretical model is developed for describing the strength property of unsaturated soils. The model is able to predict conveniently the strength changes of unsaturated soils undergoing repeated changes of water content. Suction stress is adopted in the new model in order to get the sound form of effective stress for unsaturated soils. The shear strength of unsaturated soils is dependent on its soil-moisture state based on the results of shear experiments. Hence, the parameters of this model are related tightly to hydraulic properties of unsaturated soils and the strength parameters of saturated soils. The predictive curves by the new model are coincident with experimental data that underwent single drying and drying/wetting cycle paths. Hence, hysteretic effect in the strength analysis is necessary to be considered to predict the change of shear strength of unsaturated soils that underwent drying/wetting cycles. Once the new model is used to predict the change of shear strength, lots of time could be saved due to avoiding heavy and complicated strength tests of unsaturated soils. Especially, the model can be suitable to evaluate the shear strength change of unsaturated soils and the stability of slopes experienced the drying/wetting cycles.

Designing a New Model in Order to Convey the Voice of Employees and Customers to Organization's Processes

Purpose of this paper is to create a model for designing a new model in order to convey the voice of employees and customers to organization's processes. Historical study and field study methods are used to collect data and questionnaire is tool of data collection. Descriptive and inferential statistics methods, ranking and matrix analysis method in Quality Function Deployment have been used for data analysis. The outcomes imply that prioritization of European Foundation for Quality Management enablers and employees and customers satisfaction factors are different before and after the use of Quality Function Deployment. Also, other outcomes include reduction of gap between managers and employees and customers; creation of a suitable atmosphere for the development of effective and coordinated relationship between managers and employees and customers; and development of the European Foundation for Quality Management model. Keywords: Quality Function Deployment, European Foundation for Quality Management, Enablers, voice of employees and customers

A Blackout Model Based on Optimal Risk Index and High-Risk Line Identification

This paper summarizes the defects of both OPA model and its improved models and then proposes a new model in order to simulate real power system roundly. There is an inner loop based on DC power flow optimization to minimize the change in generation or load shed and an outer loop based on the risk theory. In the outer loop, whether to improve the line capacity and how to improve are determined by risk index of line improvement (RILI) and line improvement degree function, respectively. A new prevention strategy against cascading failure is proposed by identifying the high-risk lines and determining optimal RILI which minimize line improvement cost and load loss. In the end, simulation based on 39-bus New England System reveals that new model is closer to real power system than the original one by comparing outage probability and load loss between the two models, and risk-based assessment interval and line improvement delay play important roles in prevention against power system outages, and improvement based on risk assessment can reduce outage probability to varying degrees, which illustrates the practical significance of optimal RILI.

Modelling variability in black hole binaries: linking simulations to observations

Black hole accretion flows show rapid X-ray variability. The Power Spectral Density (PSD) of this is typically fit by a phenomenological model of multiple Lorentzians for both the broad band noise and Quasi-Periodic Oscillations (QPOs). Our previous paper (Ingram & Done 2011) developed the first physical model for the PSD and fit this to observational data. This was based on the same truncated disc/hot inner flow geometry which can explain the correlated properties of the energy spectra. This assumes that the broad band noise is from propagating fluctuations in mass accretion rate within the hot flow, while the QPO is produced by global Lense-Thirring precession of the same hot flow. Here we develop this model, making some significant improvements. Firstly we specify that the viscous frequency (equivalently, surface density) in the hot flow has the same form as that measured from numerical simulations of precessing, tilted accretion flows. Secondly, we refine the statistical techniques which we use to fit the model to the data. We re-analyse the PSD from the 1998 rise to outburst of XTE J1550-564 with our new model in order to assess the impact of these changes. We find that the derived outer radii of the hot flow (set by the inner radius of the truncated disc) are rather similar, changing from ~68-13 Rg throughout the outburst rise. However, the more physical assumptions of our new model also allow us to constrain the scale height of the flow. This decreases as the outer radius of the flow decreases, as expected from the spectral evolution. The spectrum steepens in response to the increased cooling as the as the truncation radius sweeps in, so gas pressure support for the flow decreases. The new model, propfluc, is publically available within the xspec spectral fitting package.

Improvement of Torque-and-Drag Modeling in Long-Reach Wells

Torque and drag modeling is regarded as an invaluable process to assist in well planning and to predict and prevent drilling problems. It discusses how to use torque and drag calculations and measurements to plan long-reach well profiles, to execute drilling operations that minimize torque and drag effects and to monitor hole cleaning. In this study a general overview on most of the available literature on the subject is presented. Different models that have been developed for torque and drag predictions along with pros and cons of the models will be discussed. The application of our new fully 3-dimensional analytical friction model will be presented. Moreover a new criterion has been implemented into the new model in order to capture the effect of weight in the horizontal section especially when BHA is dragged into/out of the wellbore. The model validity will be checked by applying the model for two field cases of ERD wells in North Sea. Field cases also demonstrate the importance of buoyancy effects, tripping speed, hydraulic piston force, pipe stiffness as well as well path effects.

The Role of Knowledge in the Immigrant Entrepreneurial Process

This work analyses entrepreneurship process in the immigration context from a new perspective: the knowledge-based view. The central axis addresses the construction and explanation of a model that includes immigrants’ knowledge sources and geographical origin as well as their relationship with the generation of sustainable competitive advantages. As possible geographical contexts for immigrants’ knowledge, this study focuses on the country of origin, the host country, and the migration process, including transit countries. Regarding knowledge sources, various ways are explored: formal education and other codified sources, experience, networks, and institutions. This article provides a valuable and unique discussion of a new model in order to understand immigrant entrepreneurship process using a new perspective.

Comment on “Experimental Extracorporeal Photopheresis Inhibits the Sensitization and Effector Phases of Contact Hypersensitivity via Two Mechanisms: Generation of IL-10 and Induction of Regulatory T Cells”

<b>Introduction:</b> In 2015, Portuguese General Direction of Health implemented a new model in order to transfer the follow-up of patients (pts) with obstructive sleep apnea (OSA) on continuous positive airway pressure (CPAP), clinically stable, from the Hospital to the Primary Care (PC). <b>Aim:</b> To evaluate the satisfaction degree of these pts with the follow-up exchange to the PC. <b>Method:</b> A questionnaire based on the evaluation of the quality of these pts follow-up by the pulmonologist, the general practitioner (GP) and the home respiratory care company technician (HRCT) was delivered to the first discharged pts from the Sleep Disorders outpatient clinic at a central hospital, from 1/1/2016 till 31/7/2016. <b>Results:</b> The questionnaire was applied to 143pts (62.2±9.9 years old, 85% male). After hospital discharge till the questionnaire was answered, they had a mean follow-up time in PC of 17.6±1.9 months, mean of 2.7±1.4 appointments (appt); 9% didn’t have any appt. Around 94% were satisfied/very satisfied with the general care received by the pulmonologist; 95% were satisfied/very satisfied with HRCT assistance; 73% replied that they gave the CPAP report on time for the appt. Only 61% of the pts took the CPAP report to the GP; 60% were satisfied/very satisfied with the general care received by the GP; 57% considered this exchange simplified the prescription renewal; 68% replied that this contributed to a benefit on saving time and traveling. <b>Conclusions:</b> In a general way, pts were satisfied with the change of their follow-up to the PC. However, it’s crucial to rectify some points, namely the reduction of the number of pts without PC follow-up appts or those who don’t take the treatment report to the GP appt.

Rodents and climate: A new model for estimating past temperatures

Based on the high correlation between species richness in sigmodontine rodents and temperatures, we propose a new model in order to quantify past climates. Because of the close phylogenetic relationship and the tooth morphological similarity between extant New World cricetids (Sigmodontinae) and fossil European cricetids (Cricetinae s.l.), extant New World sigmodontines are taken as analogues for Old World fossil cricetines. Sigmodontine species richness has been compiled for 282 extant local faunas from North, Central and South America, with corresponding climatic data (temperatures and precipitations). There is almost no correlation between areas covered by local faunas (ranging from 1 km 2 up to 46,000 km 2) and numbers of sigmodontine species in localities ( R 2 = 0.027). Number of sigmodontine species in local faunas and mean annual daily temperatures are highly correlated ( R 2 = 0.88). The relationships of species richness and precipitation is low ( R 2 = 0.19 for mean annual precipitation). The method is exemplified for Old World cricetines using well documented Miocene rodent faunas located in the Lyon area (France MN4-5 to MN10).

A NEW MODEL FOR HETEROGENEOUS EMBEDDED SYSTEMS — What Esterel and SyncCharts Need to Become a Suitable Specification Platform

Specification of embedded systems based on formal models of computation is gaining importance. The behavior of an increasing number of embedded systems is heterogeneous, consisting of a mixture of control-dominated and data-dominated parts. While models of computations suitable to control-dominated systems and data-dominated systems are well developed, there are only a limited number of models catering to both systems. In this paper, we present informally a new model for heterogeneous embedded systems, called HEMOC, which combines three common models of computation, synchronous reactive, hierarchical finite state machines and synchronous data flow. Then, the languages Esterel and SyncCharts are used for system specification following the new model in order to determine what they need to become suitable specification platform.

Thermal transients during nonisothermal fluid injection into oil reservoirs

During hot fluid injection into oil reservoirs, the importance of determining the temperature profile to estimate the thermal efficiency is well known. In addition, the resultant temperature distribution due to cold water injection into a hot reservoir during waterflooding may significantly influence the stress distribution in the reservoir. Owing to these facts, in this work we present a new two-dimensional analytical model for analyzing the thermal transients during nonisothermal fluid injections into oil reservoirs that may provide a better insight into the mechanisms of heat transfer in oil reservoirs. The new model has several distinguishing aspects. Primarily, it is the first analytical solution of an unsteady state two-dimensional heat transport process in a laterally/vertically confined layer. In addition, both finite longitudinal and transverse heat dispersions have been accounted for in the model as well as the heat loss to the bounding layers. Thus, the model allows one to observe the roles of both boundary conditions and fluid mechanics controls simultaneously, a feature not possessed by the previous analytical models that assume either boundary conditions or fluid mechanics controls. Hydrodynamic heat dispersion concept has also been incorporated in the new model in order to account for the much larger temperature transition zones observed in the field than that would be caused by pure conduction. Finally, since the solution is free of numerical dispersion and nonphysical oscillations, especially in two-dimensional domains, it serves as a higher stepping stone for validation of numerical models.