A Chaotic Approach of Differential Evolution Optimization Applied to Loudspeaker Design Problem

Over the past few years, the field of global optimization has been very active, producing different kinds of deterministic and stochastic algorithms for optimization in the continuous domain. These days, the use of evolutionary algorithms (EAs) to solve optimization problems is a common practice due to their competitive performance on complex search spaces. EAs are well known for their ability to deal with nonlinear and complex optimization problems. Differential evolution (DE) algorithms are a family of evolutionary optimization techniques that use a rather greedy and less stochastic approach to problem solving, when compared to classical evolutionary algorithms. The main idea is to construct, at each generation, for each element of the population a mutant vector, which is constructed through a specific mutation operation based on adding differences between randomly selected elements of the population to another element. Due to its simple implementation, minimum mathematical processing and good optimization capability, DE has attracted attention. This paper proposes a new approach to solve electromagnetic design problems that combines the DE algorithm with a generator of chaos sequences. This approach is tested on the design of a loudspeaker model with 17 degrees of freedom, for showing its applicability to electromagnetic problems. The results show that the DE algorithm with chaotic sequences presents better, or at least similar, results when compared to the standard DE algorithm and other evolutionary algorithms available in the literature.

Biomarker-guided personalised emergency medicine for all - hope for another hype?

Polymorbid patients, diverse diagnostic and therapeutic options, more complex hospital structures, financial incentives, benchmarking, as well as perceptional and societal changes put pressure on medical doctors, specifically if medical errors surface. This is particularly true for the emergency department setting, where patients face delayed or erroneous initial diagnostic or therapeutic measures and costly hospital stays due to sub-optimal triage. A "biomarker" is any laboratory tool with the potential better to detect and characterise diseases, to simplify complex clinical algorithms and to improve clinical problem solving in routine care. They must be embedded in clinical algorithms to complement and not replace basic medical skills. Unselected ordering of laboratory tests and shortcomings in test performance and interpretation contribute to diagnostic errors. Test results may be ambiguous with false positive or false negative results and generate unnecessary harm and costs. Laboratory tests should only be ordered, if results have clinical consequences. In studies, we must move beyond the observational reporting and meta-analysing of diagnostic accuracies for biomarkers. Instead, specific cut-off ranges should be proposed and intervention studies conducted to prove outcome relevant impacts on patient care. The focus of this review is to exemplify the appropriate use of selected laboratory tests in the emergency setting for which randomised-controlled intervention studies have proven clinical benefit. Herein, we focus on initial patient triage and allocation of treatment opportunities in patients with cardiorespiratory diseases in the emergency department. The following five biomarkers will be discussed: proadrenomedullin for prognostic triage assessment and site-of-care decisions, cardiac troponin for acute myocardial infarction, natriuretic peptides for acute heart failure, D-dimers for venous thromboembolism, C-reactive protein as a marker of inflammation, and procalcitonin for antibiotic stewardship in infections of the respiratory tract and sepsis. For these markers we provide an overview on physiopathology, historical evolution of evidence, strengths and limitations for a rational implementation into clinical algorithms. We critically discuss results from key intervention trials that led to their use in clinical routine and potential future indications. The rational for the use of all these biomarkers, first, tackle diagnostic ambiguity and consecutive defensive medicine, second, delayed and sub-optimal therapeutic decisions, and third, prognostic uncertainty with misguided triage and site-of-care decisions all contributing to the waste of our limited health care resources. A multifaceted approach for a more targeted management of medical patients from emergency admission to discharge including biomarkers, will translate into better resource use, shorter length of hospital stay, reduced overall costs, improved patients satisfaction and outcomes in terms of mortality and re-hospitalisation. Hopefully, the concepts outlined in this review will help the reader to improve their diagnostic skills and become more parsimonious laboratory test requesters.

Development of the infrastructure for a multi-agent traffic management system simulation

This document contains detailed description of the design and the implementation of a multi-agent application controlling traffic lights in a city together with a system for simulating traffic and testing. The goal of this thesis is to design and build a simplified intelligent and distributed solution to the problem with the traffic in the big cities following different good practices in order to allow future refining of the model of the real world. The problem of the traffic in the big cities is still a problem that cannot be solved. Not only is the increasing number of cars a reason for the traffic jams, but also the way the traffic is organized. Usually, the intersections with traffic lights are replaced by roundabouts or interchanges to increase the number of cars that can cross the intersection in certain time. But still there are places where the infrastructure cannot be changed and the traffic light semaphores are the only way to control the car flows. In real life, the traffic lights have a predefined plan for change or they receive information from a centralized system when and how they have to change. But what if the traffic lights can cooperate and decide on their own when and how to change? Using this problem, the purpose of the thesis is to explore different agent-based software engineering approaches to design and build a non-conventional distributed system. From the software engineering point of view, the goal of the thesis is to apply the knowledge and use the skills, acquired during the various courses of the master program in Software Engineering, while solving a practical and complex problem such as the traffic in the cities.

Generation of representation models for complex systems using Lagrangian functions

In this article, a new methodology is presented to obtain representation models for a priori relation z = u(x1, x2, . . . ,xn) (1), with a known an experimental dataset zi; x1i ; x2i ; x3i ; . . . ; xni i=1;2;...;p· In this methodology, a potential energy is initially defined over each possible model for the relationship (1), what allows the application of the Lagrangian mechanics to the derived system. The solution of the Euler–Lagrange in this system allows obtaining the optimal solution according to the minimal action principle. The defined Lagrangian, corresponds to a continuous medium, where a n-dimensional finite elements model has been applied, so it is possible to get a solution for the problem solving a compatible and determined linear symmetric equation system. The computational implementation of the methodology has resulted in an improvement in the process of get representation models obtained and published previously by the authors.

Remembrance of things past: Amnesic syndrome with partial preservation of professional skills

J.L., then a 25-year-old physiotherapist, became densely amnesic following herpes simplex encephalitis. She displayed severe retrograde amnesia, category-specific semantic memory loss, and a profound anterograde amnesia affecting both verbal and visual memory. Her working memory systems were relatively spared as were most of her cognitive problem-solving abilities, but her social functioning was grossly impaired. She was able to demonstrate several previously learned physiotherapy skills, but was unable to modify her application of these procedures in accordance with patient response. She showed no memory of theoretical or propositional knowledge, and could neither plan treatment or reason clinically. Three years later, J.L. had profound impairment of anterograde and retrograde declarative memory, with relative sparing of working memory for problem solving and long-term memory of procedural skills. The theoretical and practical implications of her amnesic syndrome are discussed.

Multivariate genetic analysis of academic skills of the Queensland Core Skills Test and IQ highlight the importance of genetic g

This study examined the genetic and environmental relationships among 5 academic achievement skills of a standardized test of academic achievement, the Queensland Core Skills Test (QCST; Queensland Studies Authority, 2003a). QCST participants included 182 monozygotic pairs and 208 dizygotic pairs (mean 17 years +/- 0.4 standard deviation). IQ data were included in the analysis to correct for ascertainment bias. A genetic general factor explained virtually all genetic variance in the component academic skills scores, and accounted for 32% to 73% of their phenotypic variances. It also explained 56% and 42% of variation in Verbal IQ and Performance IQ respectively, suggesting that this factor is genetic g. Modest specific genetic effects were evident for achievement in mathematical problem solving and written expression. A single common factor adequately explained common environmental effects, which were also modest, and possibly due to assortative mating. The results suggest that general academic ability, derived from genetic influences and to a lesser extent common environmental influences, is the primary source of variation in component skills of the QCST.

A Computer-Based Strategy for Practical Skills Teaching

An adaptive learning technology embedded in e-learning environments ensures choice of the structure, content, and activities for each individual learner according to the teaching team’s domain and didactic knowledge and skills. In this paper a computer-based scenario for application of an adaptive navigation technology is proposed and demonstrated on an example course topic.

Lecturers' experiences of assessing generic skills in an active learning environment for engineering education in Malaysia - Emergent findings

The aim of this paper is to explore the engineering lecturers' experiences of generic skills assessment within an active learning context in Malaysia. Using a case-study methodology, lecturers' assessment approaches were investigated regarding three generic skills; verbal communication, problem solving and team work. Because of the importance to learning of the assessment of such skills it is this assessment that is discussed. The findings show the lecturers' initial feedback to have been generally lacking in substance, since they have limited knowledge and experience of assessing generic skills. Typical barriers identified during the study included; generic skills not being well defined, inadequate alignment across the engineering curricula and teaching approaches, assessment practices that were too flexible, particular those to do with implementation; and a failure to keep up to date with industrial requirements. The emerging findings of the interviews reinforce the arguments that there is clearly much room for improvement in the present state of generic skills assessment.

Az egyetemi hallgatók véleménye a kommunikációs készség fejlesztésének fontosságáról = Importance of communication skills according to bachelor and master students

Kutatásomban arra a kérdésre kerestem a választ, hogy a Budapesti Corvinus Egyetemen a hallgatók miként vélekednek a képességek, készségek fejlesztésének fontosságáról az egyetemi képzésen belül. Ennek érdekében 2015 februárjában kérdőíves felmérést végeztem 106 hallgató megkérdezésével. A hallgatók 90%-a egyetértett azzal az állítással, hogy a szakmai ismeretek átadása mellett a képességek, készségek fejlesztésére is hangsúlyt kell helyezni az egyetemi oktatásban. A jövőbeli sikerességük szempontjából a három legfontosabbnak tartott képességek: a problémamegoldó képesség, a gondolkodási képesség és a jó kommunikációs készség. A hallgatók tisztába vannak a jó kommunikációs készség fontosságával az élet számos területén, viszont szembe kell nézni az egyetemi oktatás korlátozott lehetőségeivel. Az oktatók gyakran kényszerülnek választás elé, mire helyezzék az oktatásba elsődlegesen a hangsúlyt, milyen módszertant alkalmazzanak. Ezt a döntést segíti, ha ismerjük hallgatóink preferenciáit, céljait, viszonyukat az egyes módszertani eszközökhöz. Jelen tanulmány ebben kíván segítséget nyújtani. _______ The purpose of this study was to investigate students’ opinion about the importance of skills and abilities development within university. In February 2015 a survey was conducted by interviewing 106 students. More than 90% of students agreed with the statement that beside professional skill transfer, skills and abilities development should be emphasized as well. According to students’ opinion the three most important skills for their future success are: problem-solving, creative thinking and communication skills. Students are aware of the importance of good communication skills in many areas of life but the opportunity of its development is restricted. Lecturers are often forced to make a choice about teaching goals, priorities and teaching methods. Knowledge about students’ goals, preferences and feelings about teaching methods supports this decision. This study intends to provide assistance in this.

Mobilização de competências na atividade informal do vendedor ambulante em praia de Natal (RN)

The central issue of this dissertation is to investigate the labor activity of beach hawker, in order to identify the main professional competencies mobilized in this activity, traversed by both the precariousness of the means of labor exercise, as for complex and structured routines. In the town of Natal (RN) the beaches serve as workplace for thousands of informal workers, who use various professional skills, translated into the ability to mobilize and articulate knowledge, skills and behaviors to solve problems in concrete work situations. This research therefore had as main objective to investigate the work of beach hawkers, trying to identify the core competencies mobilized for facing demands and obstacles in such a context. The beach of Ponta Negra (Natal-RN) was chosen as field of observation, in which a group of hawkers took part as voluntary subjects. Methodologically, quantitative and qualitative methods of production and analysis of data were combined in three stages. In the quantitative phase an occupational questionnaire was applied to a sample of 60 subjects, generating a set of data analyzed with quantitative univariate and multidimensional descriptive statistical tools, complemented by inferential statistical analysis. The results of this phase indicate a predominance of men sellers with salary varying in a range from one to two minimum wage Brazilian salary, age and education quite heterogeneous, extended working hours and the choice of only this activity and this beach throughout the year. Concurrently with this step of analysis, unsystematic observations of the activity of vendors were held and then driven to the technique of Instruction Impersonator with four chosen subjects. This phase had a clinicalinterpretive analysis, rooted in historical-cultural Vygotskian psychological perspective and in the french approach of skills and abilities. The main results point to several strategies for overcoming obstacles, use of technics anchored in everyday work experience and practical knowledge, building rules of conduct and collective mobilization of diverse professional skills similar to those found in formal work, such as business and time management, use of communicative tools, flexibility in problem solving, creativity and teamwork competence. We conclude that informality investigated in context can not be seen exclusively as a synonym of precariousness. It also covers skills and knowledge in a complex culture that situates informal labor in a complementary way with respect to formal work. This conclusion, therefore, contributes to overcome the notion of antinomy between formal and informal labor activity, since they both can be considered as a way to achieve job satisfaction, and even a personal representation of well done job, which is an important psychological generator of identity and social place.

Humor in mathematics teaching

HUMOR: OUR VIEW FOR MATHEMATICS TEACHING Our assumptions and context. Process humor and be able to produce is clearly a sign of intelligence, revealing, when done well, complex reasoning. Humor has an important social role, assuming as a cognitive experience that as well as creating a sense of well-being, predisposes people to work and can improve the productivity of that work. Mathematics is a discipline in which the reasoning occupies a very prominent place, both as a science as a school area. At the same time, students' interest for mathematics is not always the same and some have initially not very favorable feelings (Toh, 2009; Wanzer, Frymier & Irwin, 2010). Recent curriculum changes to the teaching of mathematics have been, in most countries of the world, showing the need for students to develop skills of critical nature, such as communication, thinking and problem solving along with the acquisition of mathematical knowledge. Also in Portugal, it is claimed the importance of promoting learning that combine the construction of mathematical knowledge with its use, when performing mathematical tasks and communicating mathematical ideas and mathematical reasoning. In the early years of schooling, corresponding to primary education in many countries, the use of texts such as short stories or comics, from which we can develop challenging mathematical tasks, is reported in the literature as having potential to promote learning specified in curricular documents (Wanzer, Frymier., & Irwin, 2010). In particular, some texts focus on mathematical topics in a humorous way and to be understood, students must develop their mathematical competence. The development of mathematical tasks from stories and other humorous presents big challenges to teachers (Flores & Moreno, 2011). Our questions. In this context, we put some questions: Primary teachers use in their classes tasks or situations that present, in a humorous way, mathematical ideas? What resources do they use? Also: How to select, adapt or build texts and tasks which have, in a humorous way, mathematical ideas with didactic potential for education in the early years of schooling? If the resources for this purpose have been produced and if teachers have been sensitized for their use, are they able to integrate them in their classes? Our intentions. This research project seeks to address these questions, focused on: (i ) assessment of teachers’ practices and underlying knowledge, resources available for the use of texts with mathematical ideas presented in a humorous way; (ii) selection, adaptation and construction of mathematical tasks from texts that present, in a humorous way, mathematical ideas with didactic potential in education for the early years of schooling; and ( iii ) integration and use, by primary school teachers, of texts that present , in a humorous way, contexts for the teaching of mathematics. So, the project is organized into three tasks and as a methodological design that combines qualitative elements with quantitative elements, the first one prevailing.

Harmonic Distortion State Estimation Using an Evolutionary Strategy

This paper presents a new methodology to estimate harmonic distortions in a power system, based on measurements of a limited number of given sites. The algorithm utilizes evolutionary strategies (ES), a development branch of evolutionary algorithms. The main advantage in using such a technique relies upon its modeling facilities as well as its potential to solve fairly complex problems. The problem-solving algorithm herein proposed makes use of data from various power-quality (PQ) meters, which can either be synchronized by high technology global positioning system devices or by using information from a fundamental frequency load flow. This second approach makes the overall PQ monitoring system much less costly. The algorithm is applied to an IEEE test network, for which sensitivity analysis is performed to determine how the parameters of the ES can be selected so that the algorithm performs in an effective way. Case studies show fairly promising results and the robustness of the proposed method.

Teen Triple P: A universal approach to reducing risk factors for behavioural and emotional problems in adolescents at the transition to high school

Teen Triple P is a multilevel system of intervention that is designed to provide parents with specific strategies to promote the positive development of their teenage children as they make the transition into high school and through puberty. The program is based on a combination of education about the developmental needs of adolescents, skills training to improve communication and problem-solving, plus specific modules to deal with common problems encountered by parents and adolescents that can escalate into major conflict and violence. It is designed to increase the engagement of parents of adolescent and pre-adolescent children by providing them with easy access to evidencebased parenting advice and support. This paper presents data collected as part of a survey of over 1400 students in first year high school at 9 Brisbane schools. The survey instrument was constructed to obtain students' reports about behaviour which is known to be associated with their health and wellbeing, and also on the extent to which their parents promoted or discouraged such behaviour at home, at school, and in their social and recreational activities in the wider community. Selected data from the survey were extracted and presented to parents at a series of parenting seminars held at the schools to promote appropriate parenting of teenagers. The objectives were to provide parents with accurate data about teenagers' behaviour, and about teenagers' reports of how they perceived their parents' behaviour. Normative data on parent and teenager behaviour will be presented from the survey as well as psychometric data relating to the reliability and validity of this new measure. Implications of this strategy for increasing parent engagement in parenting programs that aim to reduce behavioural and emotional problems in adolescents will be discussed.

A Dynamical Modeling to Study the Adaptive Immune System and the Influence of Antibodies in the Immune Memory

Immunological systems have been an abundant inspiration to contemporary computer scientists. Problem solving strategies, stemming from known immune system phenomena, have been successfully applied to chall enging problems of modem computing. Simulation systems and mathematical modeling are also beginning use to answer more complex immunological questions as immune memory process and duration of vaccines, where the regulation mechanisms are not still known sufficiently (Lundegaard, Lund, Kesmir, Brunak, Nielsen, 2007). In this article we studied in machina a approach to simulate the process of antigenic mutation and its implications for the process of memory. Our results have suggested that the durability of the immune memory is affected by the process of antigenic mutation.and by populations of soluble antibodies in the blood. The results also strongly suggest that the decrease of the production of antibodies favors the global maintenance of immune memory.