Active Monitoring and Decision Making Problem

Active monitoring and problem of non-stable of sound signal parameters in the regime of piling up response signal of environment is under consideration. Math model of testing object by set of weak stationary dynamic actions is offered. The response of structures to the set of signals is under processing for getting important information about object condition in high frequency band. Making decision procedure by using researcher’s heuristic and aprioristic knowledge is discussed as well. As an example the result of numerical solution is given.

How does knowledge relate to political action?

In this paper we investigate the relation between knowledge and political action, focusing on knowledge claims stemming from science that at the same time have relevance in a policy context. In so doing, we will revisit some well-known and some lesser known approaches, such as C.P. Snow's thesis of the two cultures and Mannheim's conceptualization of theory and practice. We arrive at a distinction between knowledge for practice and practical knowledge, which we briefly apply to the case of climate change science and policy. We state as our thesis that policy is ever more reliant on knowledge, but science can deliver ever less certainty. Political decisions and programs have to recognize this fact, either implicitly or explicitly. This creates a paradox that is normally resolved through the political decision and not the dissemination of "truth" in the sense of uncontested knowledge. We use the case of the Intergovernmental Panel on Climate Change as an example. © 2012 Copyright ICCR Foundation.

Reshoring:opportunities and limits for manufacturing in the UK - the case of the auto sector

In recent years, offshoring and outsourcing have transformed fundamentally nationally based auto sectors into global networks of design, production and distribution across the global value chains coordinated by the major automotive Original Equipment Manufacturers (OEMs). As manufacturing activities tended to be shifted to low-labour cost locations in Asia, Africa and Latin America, high-end design, R&D, product development have stayed anchored mostly to high-cost and high knowledge-intensive home economy locations (perhaps with the except of some design and styling activities which are often located in major end markets around the world. However, very recently the weaknesses of and risks inherent in such global value chains (GVCs) have been exposed, triggering attempts to rethink their nature and also raising possibilities to reshore some manufacturing activities to home countries. A combination of a more competitive exchange rate (despite the very recent appreciation of sterling), increased transport costs, rising wages in key areas of China, and a greater awareness of supply chain resilience have all contributed to a perceived change in some business fundamentals. The potential for some supply chain relocalisation also links in with the servitisation of manufacturing including the auto sector and shift to a hybrid model where manufacturing and services are increasingly intertwined. However, there are limits as to how far this can go and these raise some important questions and issues over the possible role for industrial policy.

Project Proposals Development – Entrepreneurship and Reflection in Teaching Information Technology

This work presents a model for development of project proposals by students as an approach to teaching information technology while promoting entrepreneurship and reflection. In teams of 3 to 5 participants, students elaborate a project proposal on a topic they have negotiated with each other and with the teacher. The project domain is related to the practical application of state-of-theart information technology in areas of substantial public interest or of immediate interest to the participants. This gives them ample opportunities for reflection not only on technical but also on social, economic, environmental and other dimensions of information technology. This approach has long been used with students of different years and programs of study at the Faculty of Mathematics and Informatics, Plovdiv University “Paisiy Hilendarski”. It has been found to develop all eight key competences for lifelong learning set forth in the Reference Framework and procedural skills required in real life.

Static, dynamic, and adaptive heterogeneity in distributed smart camera networks

We study heterogeneity among nodes in self-organizing smart camera networks, which use strategies based on social and economic knowledge to target communication activity efficiently. We compare homogeneous configurations, when cameras use the same strategy, with heterogeneous configurations, when cameras use different strategies. Our first contribution is to establish that static heterogeneity leads to new outcomes that are more efficient than those possible with homogeneity. Next, two forms of dynamic heterogeneity are investigated: nonadaptive mixed strategies and adaptive strategies, which learn online. Our second contribution is to show that mixed strategies offer Pareto efficiency consistently comparable with the most efficient static heterogeneous configurations. Since the particular configuration required for high Pareto efficiency in a scenario will not be known in advance, our third contribution is to show how decentralized online learning can lead to more efficient outcomes than the homogeneous case. In some cases, outcomes from online learning were more efficient than all other evaluated configuration types. Our fourth contribution is to show that online learning typically leads to outcomes more evenly spread over the objective space. Our results provide insight into the relationship between static, dynamic, and adaptive heterogeneity, suggesting that all have a key role in achieving efficient self-organization.

Knowledge processes in virtual teams:consolidating the evidence

This article takes stock of the current state of research on knowledge processes in virtual teams (VTs) and consolidates the extent research findings. Virtual teams, on the one hand, constitute important organisational entities that facilitate the integration of diverse and distributed knowledge resources. On the other hand, collaborating in a virtual environment creates particular challenges for the knowledge processes. The article seeks to consolidate the diverse evidence on knowledge processes in VTs with a specific focus on identifying the factors that influence the effectiveness of these knowledge processes. The article draws on the four basic knowledge processes outlined by Alavi and Leidner (2001) (i.e. creation, transferring, storage/retrieval and application) to frame the investigation and discuss the extent research. The consolidation of the existing research findings allows us to recognise the gaps in the understanding of knowledge processes in VTs and identify the important avenues for future research.

Towards New Teaching in Mathematics How to Realize Inquiry Based and Problem Oriented Mathematics Lessons?

Дагмар Рааб Математиката е вълнуваща и забавна. Можем ли да убедим учениците, че това може да стане действителност. Задачите са най-важните инструменти за учителите по математика, когато планират уроците си. Планът трябва да съдържа идеи как да се очертае и как да се жалонира пътят, по който учениците ще стигнат до решението на дадена задача. Учителите не трябва да очакват от учениците си просто да кажат кой е отговорът на задачата, а да ги увлекат в процеса на решаване с подходящи въпроси. Ролята на учителя е да помогне на учениците • да бъдат активни и резултатни при решаването на задачи; • самите те да поставят задачи; • да модифицират задачи; • да откриват закономерности; • да изготвят стратегии за решаване на задачи; • да откриват и изследват различни начини за решаване на задачи; • да намират смислена връзка между математическите си знания и проблеми от ежедневието. В доклада са представени избрани и вече експериментирани примери за това как учители и ученици могат да намерят подходящ път към нов тип преживявания в преподаването и изучаването на училищната математика.

A marketing, a termelés és a logisztika hozzájárulása a vállalati eredményességhez (The Contribution of Marketing, Production and Logistics to Business Performance)

A Budapesti Corvinus Egyetem Versenyképességkutató Központjának 2004-ben lekérdezett kérdőíve alapján, ami 154 feldolgozóipari vállalat adatait tartalmazza, azt vizsgáljuk, hogy az ellátási lánc három lényeges vállalati funkciója, a marketing, a termelés és a logisztika milyen mértékben járul hozzá az üzleti eredményességhez. Az eredmények szerint a marketingnek és a termelésnek erősebb hatása van a vállalati teljesítményre, mint a logisztikának. A három funkció együttesen csekély, bár statisztikai értelemben szignifikáns szerepet játszik az üzleti sikerben. _____ Companies are complex organizations where a lot of activities and processes have to work properly in order to reach success. Depending on several factors, sometimes some activities get more emphasis while others work in the background. Since organizational functions have separate literature and practical knowledge, and transit between them is rare, we do have very little knowledge on how the various functions together contribute to company success. Based on a wide-scale empirical study on Hungarian competitiveness, which includes data on 154 companies from the process industry, we examine to what extent three functions of the supply chain, marketing, manufacturing and logistics, can contribute to business success. Results show that marketing and manufacturing have larger effect on company performance than logistics. However, the three functions together play a minor, although significant role in company success.

Fair price and its effect on willingness to purchase

The purpose of the present research is to demonstrate the influence of a fair price (independent of the subjective evaluation of the price magnitude) on buyers' willingness to purchase. The perceived fairness of a price is conceived to have three components: perceived equity, perceived need, and inferred compliance of the seller to the process rules of pricing. These components reflect the Theories of Distributive Justice (as adjusted for conditions of need) and Procedural Justice.^ The effect of the three components of a fair price on willingness to purchase is depicted in a theoretically causal chain model. Based on the Theories of Dissonance and Attribution, conditions of inequity and need activate concerns for Procedural Justice. Under conditions of inequity and need, buyers tend to infer that the seller has not complied with the generally accepted pricing practices, thus violating the social norms of Procedural justice. Inferred violations of Procedural Justice influence the buyer's attitude toward the seller. As predicted by the Theory of Reasoned Action, attitude is then positively related to willingness to purchase.^ The model was tested with a survey-based experiment conducted with 408 respondents. Two levels of both equity and need were manipulated with scenarios, a common research method in studies of Distributive and Procedural Justice. The data were analyzed with a structural equation model using LISREL. Although the effect of the "need" manipulation was insignificant, the results indicated a good fit of the model (Chi-square = 281, Degrees of Freedom = 104, Goodness of Fit Index =.924). The conclusion is that the fairness of a price does have a significant effect on willingness to purchase, independent of the subjective evaluation of the objective price. ^

The effect of cooperative learning on the attitudes toward science and the achievement of students in a non-science majors' general biology laboratory course at an urban community college

The purpose of this study was to evaluate the effect of cooperative learning strategies on students' attitudes toward science and achievement in BSC 1005L, a non-science majors' general biology laboratory course at an urban community college. Data were gathered on the participants' attitudes toward science and cognitive biology level pre and post treatment in BSC 1005L. Elements of the Learning Together model developed by Johnson and Johnson and the Student Team-Achievement Divisions model created by Slavin were incorporated into the experimental sections of BSC 1005L.^ Four sections of BSC 1005L participated in this study. Participants were enrolled in the 1998 spring (January) term. Students met weekly in a two hour laboratory session. The treatment was administered to the experimental group over a ten week period. A quasi-experimental pretest-posttest control group design was used. Students in the cooperative learning group (n$\sb1$ = 27) were administered the Test of Science-Related Attitudes (TOSRA) and the cognitive biology test at the same time as the control group (n$\sb2$ = 19) (at the beginning and end of the term).^ Statistical analyses confirmed that both groups were equivalent regarding ethnicity, gender, college grade point average and number of absences. Independent sample t-tests performed on pretest mean scores indicated no significant differences in the TOSRA scale two or biology knowledge between the cooperative learning group and the control group. The scores of TOSRA scales: one, three, four, five, six, and seven were significantly lower in the cooperative learning group. Independent sample t-tests of the mean score differences did not show any significant differences in posttest attitudes toward science or biology knowledge between the two groups. Paired t-tests did not indicate any significant differences on the TOSRA or biology knowledge within the cooperative learning group. Paired t-tests did show significant differences within the control group on TOSRA scale two and biology knowledge. ANCOVAs did not indicate any significant differences on the post mean scores of the TOSRA or biology knowledge adjusted by differences in the pretest mean scores. Analysis of the research data did not show any significant correlation between attitudes toward science and biology knowledge. ^

The state of emergency management 2000: The process of emergency management professionalization in the United States and Florida

This dissertation analyzes the current status of emergency management professionalization in the United States and Florida using a qualitative case study. I investigate the efforts of various organizations at the national and state levels in the private and public sectors to organize emergency management as a profession. I conceptualize emergency management professionalization as occurring in two phases: the indirect institutionalization of the occupation of emergency management and the formal advancement toward an emergency management profession. The legislative, organizational, and procedural developments that occurred between approximately 1900 and the late 1970s became the indirect institutionalization of the occupation of emergency management. Over time, as our society developed and became increasingly complex, more disasters affect the security of the population. In order to adapt to increasing risks and vulnerabilities the emergency management system emerged and with it the necessary elements upon which a future profession could be established providing the basis for the formal advancement toward an emergency management profession. ^ During approximately the last twenty years, the formal advancement toward an emergency management profession has encompassed two primary strategies—certification and accreditation—motivated by the objective to organize a profession. Certification applies to individual emergency managers and includes all training and education. Accreditation of state and local emergency management agencies is reached by complying to a minimum level of proficiency with established standards of performance. Certification and accreditation are the mechanisms used to create an emergency management profession and thus act as axes around which the field of emergency management is organizing. ^ The purpose of this research is to provide a frame of reference for whether or not the field of emergency management is a profession. Based on sociology of professions literature, emergency management can be considered to be professionalizing. The current emergency management professionalization efforts may or may not be sufficient to achieve the ultimate goal of becoming a legitimate profession based on legal and public support for the exclusive right to perform emergency management tasks (monopoly) as well as self-regulation of those tasks (autonomy). ^

Knowledge discovery using multiple sources of biological data

The primary aim of this dissertation is to develop data mining tools for knowledge discovery in biomedical data when multiple (homogeneous or heterogeneous) sources of data are available. The central hypothesis is that, when information from multiple sources of data are used appropriately and effectively, knowledge discovery can be better achieved than what is possible from only a single source. ^ Recent advances in high-throughput technology have enabled biomedical researchers to generate large volumes of diverse types of data on a genome-wide scale. These data include DNA sequences, gene expression measurements, and much more; they provide the motivation for building analysis tools to elucidate the modular organization of the cell. The challenges include efficiently and accurately extracting information from the multiple data sources; representing the information effectively, developing analytical tools, and interpreting the results in the context of the domain. ^ The first part considers the application of feature-level integration to design classifiers that discriminate between soil types. The machine learning tools, SVM and KNN, were used to successfully distinguish between several soil samples. ^ The second part considers clustering using multiple heterogeneous data sources. The resulting Multi-Source Clustering (MSC) algorithm was shown to have a better performance than clustering methods that use only a single data source or a simple feature-level integration of heterogeneous data sources. ^ The third part proposes a new approach to effectively incorporate incomplete data into clustering analysis. Adapted from K-means algorithm, the Generalized Constrained Clustering (GCC) algorithm makes use of incomplete data in the form of constraints to perform exploratory analysis. Novel approaches for extracting constraints were proposed. For sufficiently large constraint sets, the GCC algorithm outperformed the MSC algorithm. ^ The last part considers the problem of providing a theme-specific environment for mining multi-source biomedical data. The database called PlasmoTFBM, focusing on gene regulation of Plasmodium falciparum, contains diverse information and has a simple interface to allow biologists to explore the data. It provided a framework for comparing different analytical tools for predicting regulatory elements and for designing useful data mining tools. ^ The conclusion is that the experiments reported in this dissertation strongly support the central hypothesis.^

The European Parliament, membership expansions, and organizational change

The European Union (EU) is an extraordinary achievement. From a regional economic organization, it grew into a polity within fifty years. The original EU of six members expanded incrementally to 27 over forty years, and it now comprises a population of almost 500 million people. While the five expansions of the European Economic Community/European Community/European Union (EU) have received considerable scholarly attention, surprisingly little attention has been given to their impacts on "Europe's" only legislative body, currently known as the European Parliament (EP). More specifically, little is known about how waves of new members (from widely diverse parties and national backgrounds) affected—and were affected by—the EP's organizational structure and its internal processes. The purpose of this study therefore is to help fill this gap by describing and explaining how the various EEC/EC/EU expansions or "membership shocks" (1973, 1981, 1986, 1995, and 2004) affected the EP's organizational structure and its internal Rules of Procedure (RoP). The central research question of this dissertation is the following: What were the major structural and procedural effects of the five membership expansions of what eventually became the European Union on the European Parliament? This dissertation answers this question by using concepts and measures drawn from organizational theory. While other studies have applied concepts and hypotheses from organizational theory to legislatures, such an approach has never been used to analyze the EP, which is conceptualized here as a "membership organization." This study, through an analysis of the EP, demonstrates that organization theory can help us fully understand the effects of membership expansions on any membership organization. That is, understanding how this particular organization responded to change can inform not only how others in this class (legislatures) do so, but how this process unfolds in a variety of times and places. The principal findings of this study are as follows: (1) EP staff growth revealed an interesting pattern: Staff did not increase concurrently with EP membership. That is, it turned out that the rate of membership growth exceeded the rate of staff increase, suggesting professionalization of EP staff and their relative empowerment vis-à-vis MEPs; (2) The number of rules and the precision within them increased; (3) the largest number of EP rule changes focused on increasing EP efficiency; and (4) The authority was centralized in the hands of EP leadership, that is, the EP President, the Conference of Presidents and also two major political groups.

A Phenomenological Study of Learning Processes at Work: Confirming, Extending, and Challenging Holistic Learning Theory

Holistic learning theory (Yang, 2003) identified explicit, implicit, and emancipatory knowledge facets in learning. A phenomenological study of how participants’ experienced interactions between knowledge facets showed the facets expressed, informed, changed, and guided one another. The complexity of learning and the role of spirituality in learning were explored.

Essays on risk aversion, diversification and non -participation

My dissertation consists of three essays. The central theme of these essays is the psychological factors and biases that affect the portfolio allocation decision. The first essay entitled, “Are women more risk-averse than men?” examines the gender difference in risk aversion as revealed by actual investment choices. Using a sample that controls for biases in the level of education and finance knowledge, there is evidence that when individuals have the same level of education, irrespective of their knowledge of finance, women are no more risk-averse than their male counterparts. However, the gender-risk aversion relation is also a function of age, income, wealth, marital status, race/ethnicity and the number of children in the household. The second essay entitled, “Can diversification be learned ?” investigates if investors who have superior investment knowledge are more likely to actively seek diversification benefits and are less prone to allocation biases. Results of cross-sectional analyses suggest that knowledge of finance increases the likelihood that an investor will efficiently allocate his direct investments across the major asset classes; invest in foreign assets; and hold a diversified equity portfolio. However, there is no evidence that investors who are more financially sophisticated make superior allocation decisions in their retirement savings. The final essay entitled, “The demographics of non-participation ”, examines the factors that affect the decision not to hold stocks. The results of probit regression models indicate that when individuals are highly educated, the decision to not participate in the stock market is less related to demographic factors. In particular, when individuals have attained at least a college degree and have advanced knowledge of finance, they are significantly more likely to invest in equities either directly or indirectly through mutual funds or their retirement savings. There is also evidence that the decision not to hold stocks is motivated by short-term market expectations and the most recent investment experience. The findings of these essays should increase the body of research that seeks to reconcile what investors actually do (positive theory) with what traditional theories of finance predict that investors should do (normative theory).