Social networks in cultural industries

Although cultural industries can benefit from social networks in many ways, few Spanish studies examine the extent to which firms within this economic sector actually use such networks. This study's objective is to investigate the role of online social networks in Spanish cultural firms. The study begins with a literature review on cultural industries and social networks. Then the study proceeds to a Delphi analysis that draws upon experts' opinions. Results reveal a predominance of utilitarian uses over expressive ones, as well as an overriding use of proactive motivations rather than reactive ones within the context of cultural firms' use of social networks. The study confirms the profitability of these networks and the transfer of influence or power from providers to the consumers of cultural goods and services.

Facebook in teaching: strengths and weaknesses

Purpose – The use of online social networks has experienced a vertiginous increase in the last few years, and young people appear as the key players in this trend. Immersed, educated and raised in the middle of technology, the new student generation is one of digital natives. Instead, lecturers are digital immigrants, but the authors have the responsibility to turn a technology which can be a distraction into a teaching tool. Facebook is an example of Web 2.0 technology that owns a huge potential in the field of education. The purpose of this paper is to show the teaching experience with the Facebook social network in human resource management degree subjects, for the purpose of highlighting its strengths and weaknesses. Design/methodology/approach – A survey was carried out among university students in order to reach the goal. A total of 191 students were asked to give their opinion about the use of Facebook in teaching, achieving 125 valid answers. Findings – Facebook can positively impact on the performance of students, who are satisfied with the experience and think that the information obtained in Facebook can improve their training. More negative attitudes towards Facebook appeared among those students who had not used it. Originality/value – The paper summarises the strengths and weaknesses of Facebook through a literature review and assesses them via a survey.

Mujeres empresarias en el uso de la web 2.0: discursos de un preludio

Este trabajo presenta los principales resultados de una investigación cuya finalidad es conocer la adopción de las redes sociales on-line en las pymes dirigidas por mujeres. Se parte de la base de que el uso de redes, como elemento estratégico de comunicación, se encuentra todavía en una fase incipiente de desarrollo, lejos aún de ser una práctica consolidada. Nuestro interés en este trabajo es conocer la predisposición y motivaciones de las empresarias hacia el uso estas redes, así como las utilidades y dificultades a las que han de enfrentarse. Nos interesa visibilizar el cambio actitudinal y competencial que las empresarias están imprimiendo en sus empresas dentro del marco competitivo en el que se encuentran. En definitiva, nos interesa estudiar la percepción que tienen las empresarias sobre el uso de las redes sociales online en la medida en que están insertas, como una herramienta más de gestión empresarial. Nos situamos ante un nuevo ámbito de conocimiento sobre el que apenas existen referencias bibliográficas ni se ha realizado apenas investigación; de ahí que la investigación tenga una finalidad fundamentalmente exploratoria y de carácter cualitativo. Para la obtención de la información se realizaron catorce entrevistas semi-estructuradas entre empresarias andaluzas de distintos sectores de actividad. Entre los principales resultados encontramos que algo menos de la mitad de ellas las utilizan, o están implantadas en sus empresas, como herramientas de comunicación. El resto, y relacionado con el tamaño de sus negocios, las utilizan como una prolongación del uso personal en el que se iniciaron.

Assessing participation in online discussion forums: a proposal for multidimensional analysis

This paper aims to assess the discussion forums being used in the programme Especialista Universitario online sobre Tecnologías de la Información y la Comunicación, taught at the University of Alicante, on the basis of the analysis model suggested by Kay (2004). In such a model, it is essential to represent graphically the forum activity so that the visual representation may improve analysis. This research has allowed reaching results which define the forum activity and has contributed with a proposal for multi analysis in the area of assessing participation in communication within online discussion forums.

Simultaneous synthesis of heat exchanger networks with pressure recovery: optimal integration between heat and work

The optimal integration between heat and work may significantly reduce the energy demand and consequently the process cost. This paper introduces a new mathematical model for the simultaneous synthesis of heat exchanger networks (HENs) in which the pressure levels of the process streams can be adjusted to enhance the heat integration. A superstructure is proposed for the HEN design with pressure recovery, developed via generalized disjunctive programming (GDP) and mixed-integer nonlinear programming (MINLP) formulation. The process conditions (stream temperature and pressure) must be optimized. Furthermore, the approach allows for coupling of the turbines and compressors and selection of the turbines and valves to minimize the total annualized cost, which consists of the operational and capital expenses. The model is tested for its applicability in three case studies, including a cryogenic application. The results indicate that the energy integration reduces the quantity of utilities required, thus decreasing the overall cost.

Simultaneous synthesis of work exchange networks with heat integration

The optimal integration of work and its interaction with heat can represent large energy savings in industrial plants. This paper introduces a new optimization model for the simultaneous synthesis of work exchange networks (WENs), with heat integration for the optimal pressure recovery of process gaseous streams. The proposed approach for the WEN synthesis is analogous to the well-known problem of synthesis of heat exchanger networks (HENs). Thus, there is work exchange between high-pressure (HP) and low-pressure (LP) streams, achieved by pressure manipulation equipment running on common axes. The model allows the use of several units of single-shaft-turbine-compressor (SSTC), as well as stand-alone compressors, turbines and valves. Helper motors and generators are used to respond to any demand and excess of energy. Moreover, between the WEN stages the streams are sent to the HEN to promote thermal recovery, aiming to enhance the work integration. A multi-stage superstructure is proposed to represent the process. The WEN superstructure is optimized in a mixed-integer nonlinear programming (MINLP) formulation and solved with the GAMS software, with the goal of minimizing the total annualized cost. Three examples are conducted to verify the accuracy of the proposed method. In all case studies, the heat integration between WEN stages is essential to improve the pressure recovery, and to reduce the total costs involved in the process.

Combining visual features and Growing Neural Gas networks for robotic 3D SLAM

The use of 3D data in mobile robotics provides valuable information about the robot’s environment. Traditionally, stereo cameras have been used as a low-cost 3D sensor. However, the lack of precision and texture for some surfaces suggests that the use of other 3D sensors could be more suitable. In this work, we examine the use of two sensors: an infrared SR4000 and a Kinect camera. We use a combination of 3D data obtained by these cameras, along with features obtained from 2D images acquired from these cameras, using a Growing Neural Gas (GNG) network applied to the 3D data. The goal is to obtain a robust egomotion technique. The GNG network is used to reduce the camera error. To calculate the egomotion, we test two methods for 3D registration. One is based on an iterative closest points algorithm, and the other employs random sample consensus. Finally, a simultaneous localization and mapping method is applied to the complete sequence to reduce the global error. The error from each sensor and the mapping results from the proposed method are examined.

Data analysis using circular causality in networks

Complex systems in causal relationships are known to be circular rather than linear; this means that a particular result is not produced by a single cause, but rather that both positive and negative feedback processes are involved. However, although interpreting systemic interrelationships requires a language formed by circles, this has only been developed at the diagram level, and not from an axiomatic point of view. The first difficulty encountered when analysing any complex system is that usually the only data available relate to the various variables, so the first objective was to transform these data into cause-and-effect relationships. Once this initial step was taken, our discrete chaos theory could be applied by finding the causal circles that will form part of the system attractor and allow their behavior to be interpreted. As an application of the technique presented, we analyzed the system associated with the transcription factors of inflammatory diseases.

3D Hand Pose Estimation with Neural Networks

We propose the design of a real-time system to recognize and interprethand gestures. The acquisition devices are low cost 3D sensors. 3D hand pose will be segmented, characterized and track using growing neural gas (GNG) structure. The capacity of the system to obtain information with a high degree of freedom allows the encoding of many gestures and a very accurate motion capture. The use of hand pose models combined with motion information provide with GNG permits to deal with the problem of the hand motion representation. A natural interface applied to a virtual mirrorwriting system and to a system to estimate hand pose will be designed to demonstrate the validity of the system.

Life Experiences of People Affected by Crohn’s Disease and Their Support Networks Scoping Review

This scoping review identifies and describes relevant studies related to the evidence published on life experiences and perceived social support of people affected by Crohn’s disease. Twenty-three studies were definitely selected and analyzed for the topics explored. The overall findings show patients’ needs and perceptions. There is a lack of evidence about patients’ perceived needs as well as the understanding of social support that has contributed to improve their life experiences with that chronic illness. Lack of energy, loss of body control, body image damaged due to different treatments and surgeries, symptoms related to fear of disease, feeling burdened loss related to independence, and so on are some of the concerns with having to live with those affected by the Crohn. To underline those experiences through this scoping review provides valuable data for health care teams, especially for the nursing profession, considered by those affected as one of the main roles along the whole pathological process. This review provides the basis for developing broader research on the relatively underexplored topics and consequently improves specific programs that could address patients’ needs.

Retrofit of heat exchanger networks with pressure recovery of process streams at sub-ambient conditions

This paper presents a new mathematical programming model for the retrofit of heat exchanger networks (HENs), wherein the pressure recovery of process streams is conducted to enhance heat integration. Particularly applied to cryogenic processes, HENs retrofit with combined heat and work integration is mainly aimed at reducing the use of expensive cold services. The proposed multi-stage superstructure allows the increment of the existing heat transfer area, as well as the use of new equipment for both heat exchange and pressure manipulation. The pressure recovery of streams is carried out simultaneously with the HEN design, such that the process conditions (streams pressure and temperature) are variables of optimization. The mathematical model is formulated using generalized disjunctive programming (GDP) and is optimized via mixed-integer nonlinear programming (MINLP), through the minimization of the retrofit total annualized cost, considering the turbine and compressor coupling with a helper motor. Three case studies are performed to assess the accuracy of the developed approach, including a real industrial example related to liquefied natural gas (LNG) production. The results show that the pressure recovery of streams is efficient for energy savings and, consequently, for decreasing the HEN retrofit total cost especially in sub-ambient processes.

Management of social networks in the educational process

The research developed in this work consists in proposing a set of techniques for management of social networks and their integration into the educational process. The proposals made are based on assumptions that have been proven with simple examples in a real scenario of university teaching. The results show that social networks have more capacity to spread information than educational web platforms. Moreover, educational social networks are developed in a context of freedom of expression intrinsically linked to Internet freedom. In that context, users can write opinions or comments which are not liked by the staff of schools. However, this feature can be exploited to enrich the educational process and improve the quality of their achievement. The network has covered needs and created new ones. So, the figure of the Community Manager is proposed as agent in educational context for monitoring network and aims to channel the opinions and to provide a rapid response to an academic problem.