Andreu Sala i l'arribada del barroc a Catalunya

Andreu Sala és l’escultor que millor patentitza la introducció de l’estètica i l’univers conceptual i espiritual de l’alt-barroc romà a Catalunya. En aquest treball s’intentarà donar llum a l’univers documental que amaga amb recel les poques notícies referides a l’escultor i també aportar noves hipòtesis i arguments per tal de forjar una idea més clarivident de la vida i obra de l’imaginaire Andreu Sala

Los nuevos activos del árbitro de baloncesto: poder blando, empatía y comunicación. El caso del Comité catalán de Árbitros de Baloncesto

The basketball refereeing has undergone many changes in the last ten years. This article claims to combine some conceptual and methodological basis to define the meanings for the so called ‘modern refereeing’. Indeed, this research is concerned to the analysis of the new communication skills as an inseparable asset to the arbitration task, characterized by the dialogue, the administration of 'soft power', the emotional management and the adoption of a renewed and empathic attitude towards all the components of the game. Finally, this paper will propose the concretion of some specific communicative characteristics of the basketball refereeing in the XXI century.

Integração de técnicas analíticas e proposta de experimentos para cursos de graduação em análise instrumental: uso de espectrômetro de absorção atômica para medidas de absorção molecular

Simple experiments are proposed for measuring molecular absorption of chromate and dichromate ions using an atomic absorption spectrometer. The experiments can help undergraduate students in instrumental analysis courses understand important aspects involving conceptual and instrumental similarities and differences between frequently used analytical techniques. Hollow cathode lamps were selected with wavelengths in the region of molecular absorption of chromate and dichromate. Calibration curves were obtained and the linear dynamic range was evaluated. Results were compared with those obtained in a molecular absorption spectrometer. The molar absorptivities obtained were also compared.

Advanced chemometric methods: Applicability on industrial data

Recent years have produced great advances in the instrumentation technology. The amount of available data has been increasing due to the simplicity, speed and accuracy of current spectroscopic instruments. Most of these data are, however, meaningless without a proper analysis. This has been one of the reasons for the overgrowing success of multivariate handling of such data. Industrial data is commonly not designed data; in other words, there is no exact experimental design, but rather the data have been collected as a routine procedure during an industrial process. This makes certain demands on the multivariate modeling, as the selection of samples and variables can have an enormous effect. Common approaches in the modeling of industrial data are PCA (principal component analysis) and PLS (projection to latent structures or partial least squares) but there are also other methods that should be considered. The more advanced methods include multi block modeling and nonlinear modeling. In this thesis it is shown that the results of data analysis vary according to the modeling approach used, thus making the selection of the modeling approach dependent on the purpose of the model. If the model is intended to provide accurate predictions, the approach should be different than in the case where the purpose of modeling is mostly to obtain information about the variables and the process. For industrial applicability it is essential that the methods are robust and sufficiently simple to apply. In this way the methods and the results can be compared and an approach selected that is suitable for the intended purpose. Differences in data analysis methods are compared with data from different fields of industry in this thesis. In the first two papers, the multi block method is considered for data originating from the oil and fertilizer industries. The results are compared to those from PLS and priority PLS. The third paper considers applicability of multivariate models to process control for a reactive crystallization process. In the fourth paper, nonlinear modeling is examined with a data set from the oil industry. The response has a nonlinear relation to the descriptor matrix, and the results are compared between linear modeling, polynomial PLS and nonlinear modeling using nonlinear score vectors.

A utilização de etanol em célula a combustível de óxido sólido

This work reports a review on the status and technical feasibility of the application of ethanol as fuel for Solid Oxide Fuel Cells (SOFC), presenting both external reform and cell with direct utilization of ethanol. Based on this survey, both experimental results and mathematical modeling indicated the technical feasibility of power generation by ethanol SOFC, with cell units producing 450 mW/cm², sufficient for scale up to large stationary plants. The quantitative assessments in the literature show this field to be promising for researchers and private sector investment as well being a strategic technology for government policy in the short and long term.

Models in country scale carbon accounting of forest soils

Selective papers of the workshop on "Development of models and forest soil surveys for monitoring of soil carbon", Koli, Finland, April 5-9 2006.

Mapas conceptuales como herramienta pedagógica en la enseñanza de la química orgánica

Organic Chemistry is a branch of Chemistry involving the study of the carbon atom, its compounds and reactions. Numerous investigations carried out in the field of teaching and learning processes indicate that knowledge of a conceptual and explanatory type is not conveyed in a conventional manner, but rather each individual is constructed. Therefore, the proposal for this study was devised to help students achieve significant sustainable learning in the area of reactivity in organic chemistry, using the Concept Maps described by Novak (1998) as a teaching tool.

AVALIAÇÃO DO USO DE PLANILHAS COMPUTACIONAIS COMO UMA FERRAMENTA DIDÁTICA EM QUÍMICA ANALÍTICA QUALITATIVA

The use of spreadsheet softwares is not widespread in Chemical Education in Brazil as a computational education tool. By its turn the Qualitative Analytical Chemistry is considered a discipline with classical and non-flexible content. Thus in this work the spreadsheet software Excel® was evaluated as a teaching tool in a Qualitative Analytical Chemistry course for calculations of concentrations of the species in equilibrium in solutions of acids. After presenting the theory involved in such calculations the students were invited to elaborate the representation of the distribution of these species in a graphical form, using the spreadsheet software. Then the teaching team evaluated the resulting graphics regarding form and contents. The graphics with conceptual and/or formal errors were returned for correction, revealing significant improvement in the second presentation in all cases. The software showed to be motivating for the content of the discipline, improving the learning interest, while it was possible to prove that even in classical disciplines it is possible to introduce new technologies to help the teaching process.

Contextuality in SME Ownership – Studies on Owner-managers’ Ownership Behavior

The purpose of this study is to deepen the understanding of the meaning of ownership in the context of small and medium sized businesses. The research on ownership has increased and widened during the last few years. Ownership is treated increasingly as a psychological phenomenon and it has been noticed that it is common for SME ownermanagers to be mentally linked to their firms. Previous research is suggesting that the central role of an owner-manager in an SME is specifying the concept of SMEs, and that ownership is creating a great heterogeneity within SMEs. This study suggests that there is a variation whitin ownership behaviour of small business owners, and the variation is not totally random or irrational, but following the general patterns of business ownership and of doing business on an SME level. This study is a concept analytical in nature and it builds on the theoretical clarification of the concept of ownership. The theoretical consideration concludes with proposing a definition of ownership: Ownership means a subject’s relatively sustaining position of control in regard to an object. The empirical part of this study consists of five articles, out of which one is conceptual and four are empirical in nature. The notion of contextuality of ownership and the notions of SME characteristics form the basic premise of this study and the theoretical basis for the publications. From the owner-managers point of view, ownership relates the owner also to his or her environment and therefore also to the valuations of the owner-managers. This means that all the dimensions are not equally valued, but certain dimensions in his or her ownership are more important. The presented empirical research is supporting the claim that there is a variation whitin ownership behaviour of small business owners. When bringing the definition of ownership onto a personal and psychological level and into the SME context, it was noticed that ownership is not only a closed system phenomenon occurring between the owner and object owned, but it is also elementarily connected to the environment. Ownership - along with the psychological side of it - is a contextual phenomenon where the fundamental factor is the relatively sustaining position of control with regard to an object. As a contribution of the study, this definition is bringing a new point of view to the discussion on SMEs, SME strategic behaviour and family businesses. The study concludes with pointing out directions for future research.

Customized agile development process for embedded software development

Agile software development has grown in popularity starting from the agile manifesto declared in 2001. However there is a strong belief that the agile methods are not suitable for embedded, critical or real-time software development, even though multiple studies and cases show differently. This thesis will present a custom agile process that can be used in embedded software development. The reasons for presumed unfitness of agile methods in embedded software development have mainly based on the feeling of these methods providing no real control, no strict discipline and less rigor engineering practices. One starting point is to provide a light process with disciplined approach to the embedded software development. Agile software development has gained popularity due to the fact that there are still big issues in software development as a whole. Projects fail due to schedule slips, budget surpassing or failing to meet the business needs. This does not change when talking about embedded software development. These issues are still valid, with multiple new ones rising from the quite complex and hard domain the embedded software developers work in. These issues are another starting point for this thesis. The thesis is based heavily on Feature Driven Development, a software development methodology that can be seen as a runner up to the most popular agile methodologies. The FDD as such is quite process oriented and is lacking few practices considered commonly as extremely important in agile development methodologies. In order for FDD to gain acceptance in the software development community it needs to be modified and enhanced. This thesis presents an improved custom agile process that can be used in embedded software development projects with size varying from 10 to 500 persons. This process is based on Feature Driven Development and by suitable parts to Extreme Programming, Scrum and Agile Modeling. Finally this thesis will present how the new process responds to the common issues in the embedded software development. The process of creating the new process is evaluated at the retrospective and guidelines for such process creation work are introduced. These emphasize the agility also in the process development through early and frequent deliveries and the team work needed to create suitable process.

Some advances in mathematical models for preference relations

Preference relations, and their modeling, have played a crucial role in both social sciences and applied mathematics. A special category of preference relations is represented by cardinal preference relations, which are nothing other than relations which can also take into account the degree of relation. Preference relations play a pivotal role in most of multi criteria decision making methods and in the operational research. This thesis aims at showing some recent advances in their methodology. Actually, there are a number of open issues in this field and the contributions presented in this thesis can be grouped accordingly. The first issue regards the estimation of a weight vector given a preference relation. A new and efficient algorithm for estimating the priority vector of a reciprocal relation, i.e. a special type of preference relation, is going to be presented. The same section contains the proof that twenty methods already proposed in literature lead to unsatisfactory results as they employ a conflicting constraint in their optimization model. The second area of interest concerns consistency evaluation and it is possibly the kernel of the thesis. This thesis contains the proofs that some indices are equivalent and that therefore, some seemingly different formulae, end up leading to the very same result. Moreover, some numerical simulations are presented. The section ends with some consideration of a new method for fairly evaluating consistency. The third matter regards incomplete relations and how to estimate missing comparisons. This section reports a numerical study of the methods already proposed in literature and analyzes their behavior in different situations. The fourth, and last, topic, proposes a way to deal with group decision making by means of connecting preference relations with social network analysis.

Ennustavaa elinympäristömallinnusta oppikirjamaisissa muodoissa

Kirjallisuusarvostelu

Urheilusta, lääkkeistä ja hieman Lahdestakin

Kirjallisuusarvostelu

Applications of Industrial Statistics

This dissertation examines knowledge and industrial knowledge creation processes. It looks at the way knowledge is created in industrial processes based on data, which is transformed into information and finally into knowledge. In the context of this dissertation the main tool for industrial knowledge creation are different statistical methods. This dissertation strives to define industrial statistics. This is done using an expert opinion survey, which was sent to a number of industrial statisticians. The survey was conducted to create a definition for this field of applied statistics and to demonstrate the wide applicability of statistical methods to industrial problems. In this part of the dissertation, traditional methods of industrial statistics are introduced. As industrial statistics are the main tool for knowledge creation, the basics of statistical decision making and statistical modeling are also included. The widely known Data Information Knowledge Wisdom (DIKW) hierarchy serves as a theoretical background for this dissertation. The way that data is transformed into information, information into knowledge and knowledge finally into wisdom is used as a theoretical frame of reference. Some scholars have, however, criticized the DIKW model. Based on these different perceptions of the knowledge creation process, a new knowledge creation process, based on statistical methods is proposed. In the context of this dissertation, the data is a source of knowledge in industrial processes. Because of this, the mathematical categorization of data into continuous and discrete types is explained. Different methods for gathering data from processes are clarified as well. There are two methods for data gathering in this dissertation: survey methods and measurements. The enclosed publications provide an example of the wide applicability of statistical methods in industry. In these publications data is gathered using surveys and measurements. Enclosed publications have been chosen so that in each publication, different statistical methods are employed in analyzing of data. There are some similarities between the analysis methods used in the publications, but mainly different methods are used. Based on this dissertation the use of statistical methods for industrial knowledge creation is strongly recommended. With statistical methods it is possible to handle large datasets and different types of statistical analysis results can easily be transformed into knowledge.

Hydrometallurgical recovery of valuable metals from secondary raw materials

Wastes and side streams in the mining industry and different anthropogenic wastes often contain valuable metals in such concentrations their recovery may be economically viable. These raw materials are collectively called secondary raw materials. The recovery of metals from these materials is also environmentally favorable, since many of the metals, for example heavy metals, are hazardous to the environment. This has been noticed in legislative bodies, and strict regulations for handling both mining and anthropogenic wastes have been developed, mainly in the last decade. In the mining and metallurgy industry, important secondary raw materials include, for example, steelmaking dusts (recoverable metals e.g. Zn and Mo), zinc plant residues (Ag, Au, Ga, Ge, In) and waste slurry from Bayer process alumina production (Ga, REE, Ti, V). From anthropogenic wastes, waste electrical and electronic equipment (WEEE), among them LCD screens and fluorescent lamps, are clearly the most important from a metals recovery point of view. Metals that are commonly recovered from WEEE include, for example, Ag, Au, Cu, Pd and Pt. In LCD screens indium, and in fluorescent lamps, REEs, are possible target metals. Hydrometallurgical processing routes are highly suitable for the treatment of complex and/or low grade raw materials, as secondary raw materials often are. These solid or liquid raw materials often contain large amounts of base metals, for example. Thus, in order to recover valuable metals, with small concentrations, highly selective separation methods, such as hydrometallurgical routes, are needed. In addition, hydrometallurgical processes are also seen as more environmental friendly, and they have lower energy consumption, when compared to pyrometallurgical processes. In this thesis, solvent extraction and ion exchange are the most important hydrometallurgical separation methods studied. Solvent extraction is a mainstream unit operation in the metallurgical industry for all kinds of metals, but for ion exchange, practical applications are not as widespread. However, ion exchange is known to be particularly suitable for dilute feed solutions and complex separation tasks, which makes it a viable option, especially for processing secondary raw materials. Recovering valuable metals was studied with five different raw materials, which included liquid and solid side streams from metallurgical industries and WEEE. Recovery of high purity (99.7%) In, from LCD screens, was achieved by leaching with H2SO4, extracting In and Sn to D2EHPA, and selectively stripping In to HCl. In was also concentrated in the solvent extraction stage from 44 mg/L to 6.5 g/L. Ge was recovered as a side product from two different base metal process liquors with Nmethylglucamine functional chelating ion exchange resin (IRA-743). Based on equilibrium and dynamic modeling, a mechanism for this moderately complex adsorption process was suggested. Eu and Y were leached with high yields (91 and 83%) by 2 M H2SO4 from a fluorescent lamp precipitate of waste treatment plant. The waste also contained significant amounts of other REEs such as Gd and Tb, but these were not leached with common mineral acids in ambient conditions. Zn was selectively leached over Fe from steelmaking dusts with a controlled acidic leaching method, in which the pH did not go below, but was held close as possible to, 3. Mo was also present in the other studied dust, and was leached with pure water more effectively than with the acidic methods. Good yield and selectivity in the solvent extraction of Zn was achieved by D2EHPA. However, Fe needs to be eliminated in advance, either by the controlled leaching method or, for example, by precipitation. 100% Pure Mo/Cr product was achieved with quaternary ammonium salt (Aliquat 336) directly from the water leachate, without pH adjustment (pH 13.7). A Mo/Cr mixture was also obtained from H2SO4 leachates with hydroxyoxime LIX 84-I and trioctylamine (TOA), but the purities were 70% at most. However with Aliquat 336, again an over 99% pure mixture was obtained. High selectivity for Mo over Cr was not achieved with any of the studied reagents. Ag-NaCl solution was purified from divalent impurity metals by aminomethylphosphonium functional Lewatit TP-260 ion exchange resin. A novel preconditioning method, named controlled partial neutralization, with conjugate bases of weak organic acids, was used to control the pH in the column to avoid capacity losses or precipitations. Counter-current SMB was shown to be a better process configuration than either batch column operation or the cross-current operation conventionally used in the metallurgical industry. The raw materials used in this thesis were also evaluated from an economic point of view, and the precipitate from a waste fluorescent lamp treatment process was clearly shown to be the most promising.